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  • 1.
    af Bjerkén, Sara
    et al.
    Umeå University, Faculty of Medicine, Department of Integrative Medical Biology (IMB). Umeå University, Faculty of Medicine, Department of Clinical Sciences, Neurosciences.
    Axelsson, Jan
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Medicine, Umeå Centre for Functional Brain Imaging (UFBI).
    Larsson, Anne
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Flygare, Carolina
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Remes, Jussi
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Eriksson, Linda
    Umeå University, Faculty of Medicine, Department of Clinical Sciences, Neurosciences.
    Bäckström, David C.
    Umeå University, Faculty of Medicine, Department of Clinical Sciences, Neurosciences.
    Jakobson Mo, Susanna
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology. Umeå University, Faculty of Medicine, Umeå Centre for Functional Brain Imaging (UFBI).
    Reliability and validity of visual analysis of [18F]FE-PE2I PET/CT in early Parkinsonian disease2023In: Nuclear medicine communications, ISSN 0143-3636, E-ISSN 1473-5628, Vol. 44, no 5, p. 397-406Article in journal (Refereed)
    Abstract [en]

    Objective: [18F]FE-PE2I (FE-PE2I) is a new radiotracer for dopamine transporter (DAT) imaging with PET. The aim of this study was to evaluate the visual interpretation of FE-PE2I images for the diagnosis of idiopathic Parkinsonian syndrome (IPS). The inter-rater variability, sensitivity, specificity, and diagnostic accuracy for visual interpretation of striatal FE-PE2I compared to [123I]FP-CIT (FP-CIT) single-photon emission computed tomography (SPECT) was evaluated.

    Methods: Thirty patients with newly onset parkinsonism and 32 healthy controls with both an FE-PE2I and FP-CIT were included in the study. Four patients had normal DAT imaging, of which three did not fulfil the IPS criteria at the clinical reassessment after 2 years. Six raters evaluated the DAT images blinded to the clinical diagnosis, interpreting the image as being ‘normal’ or ‘pathological’, and assessed the degree of DAT-reduction in the caudate and putamen. The inter-rater agreement was assessed with intra-class correlation and Cronbach’s α. For calculation of sensitivity and specificity, DAT images were defined as correctly classified if categorized as normal or pathological by ≥4/6 raters.

    Results: The overall agreement in visual evaluation of the FE-PE2I- and FP-CIT images was high for the IPS patients (α = 0.960 and 0.898, respectively), but lower in healthy controls (FE-PE2I: α = 0.693, FP-CIT: α = 0.657). Visual interpretation gave high sensitivity (both 0.96) but lower specificity (FE-PE2I: 0.86, FP-CIT: 0.63) with an accuracy of 90% for FE-PE2I and 77% for FP-CIT.

    Conclusion: Visual evaluation of FE-PE2I PET imaging demonstrates high reliability and diagnostic accuracy for IPS.

  • 2.
    Björeland, Ulrika
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Nyholm, Tufve
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Jonsson, Joakim
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Skorpil, Mikael
    Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
    Blomqvist, Lennart
    Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Beckman, Lars
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Thellenberg-Karlsson, Camilla
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Impact of neoadjuvant androgen deprivation therapy on magnetic resonance imaging features in prostate cancer before radiotherapy2021In: Physics and Imaging in Radiation Oncology, E-ISSN 2405-6316, Vol. 17, p. 117-123Article in journal (Refereed)
    Abstract [en]

    Background and purpose: In locally advanced prostate cancer (PC), androgen deprivation therapy (ADT) in combination with whole prostate radiotherapy (RT) is the standard treatment. ADT affects the prostate as well as the tumour on multiparametric magnetic resonance imaging (MRI) with decreased PC conspicuity and impaired localisation of the prostate lesion. Image texture analysis has been suggested to be of aid in separating tumour from normal tissue. The aim of the study was to investigate the impact of ADT on baseline defined MRI features in prostate cancer with the goal to investigate if it might be of use in radiotherapy planning.

    Materials and methods: Fifty PC patients were included. Multiparametric MRI was performed before, and three months after ADT. At baseline, a tumour volume was delineated on apparent diffusion coefficient (ADC) maps with suspected tumour content and a reference volume in normal prostatic tissue. These volumes were transferred to MRIs after ADT and were analysed with first-order -and invariant Haralick -features.

    Results: At baseline, the median value and several of the invariant Haralick features of ADC, showed a significant difference between tumour and reference volumes. After ADT, only ADC median value could significantly differentiate the two volumes.

    Conclusions: Invariant Haralick -features could not distinguish between baseline MRI defined PC and normal tissue after ADT. First-order median value remained significantly different in tumour and reference volumes after ADT, but the difference was less pronounced than before ADT.

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  • 3.
    Björeland, Ulrika
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Söderkvist, Karin
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Nyholm, Tufve
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Jonsson, Joakim
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Skorpil, Mikael
    Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
    Blomqvist, Lennart
    Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
    Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Beckman, Lars
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Thellenberg-Karlsson, Camilla
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Diffusion-weighted MRI and 11C-acetate-PET/CT imaging in high-risk/very high-risk prostate cancerManuscript (preprint) (Other academic)
  • 4.
    Gideonsson, Ida
    et al.
    Umeå University, Faculty of Medicine, Department of Clinical Sciences, Obstetrics and Gynecology. Center of Obstetrics and Gynecology, Umeå University Hospital, Umeå, Sweden.
    Israelsson, Pernilla
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Ottander, Ulrika
    Umeå University, Faculty of Medicine, Department of Clinical Sciences, Obstetrics and Gynecology.
    Long-term follow-up of tamoxifen treatment and the use of imaging in psammocarcinoma: a case report, review of the literature and discussion of diagnostic and therapeutic challenges2023In: Current Oncology, ISSN 1198-0052, E-ISSN 1718-7729, Vol. 30, no 12, p. 10260-10271Article in journal (Refereed)
    Abstract [en]

    Psammocarcinoma (PsC) represents a rare form of low-grade serous tumor of the ovary or peritoneum. Although ovarian cancer generally has a poor prognosis in its late stages, PsC seems to have a more indolent course. We present a patient with a history of unspecific abdominal pain for more than a year, with sudden acute onset of severe inguinal pain. On admission to the hospital, a computed tomography (CT) revealed a pelvic mass of suspected ovarian origin. Radical surgery was attempted but not achieved due to widespread tumor growth. Histopathological evaluation revealed estrogen receptor-positive stage III PsC. Tamoxifen treatment was thus initiated, still maintaining stable disease 10 years later. The patient has undergone extensive radiological work-up, including CT, chest X-ray, 18F-fluoro-deoxy-glucose positron emission tomography (PET)/CT, 99mTc- hydroxymethylene diphosphonate (HDP) bone scintigraphy, 18F-fluoro-thymidine (FLT) PET/CT, Tc-99m depreotide scintigraphy and magnetic resonance imaging. In conclusion, we demonstrate that PsC has characteristic radiological features and different imaging modalities can be suitable in different clinical situations. In contrast to most other ovarian cancers, PsC does not always warrant adjuvant chemotherapy, even in advanced stages. This emphasizes the need for a deeper knowledge of the biological behavior of this rare tumor, to select the optimal treatment strategy.

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  • 5.
    Grefve, Josefine
    et al.
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Söderkvist, Karin
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Gunnlaugsson, Adalsteinn
    Department of Hematology, Oncology and Radiation Physics, Skane University Hospital, Lund University, Lund, Sweden.
    Sandgren, Kristina
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Jonsson, Joakim
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Keeratijarut Lindberg, Angsana
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Nilsson, Erik
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Axelsson, Jan
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Bergh, Anders
    Umeå University, Faculty of Medicine, Department of Medical Biosciences, Pathology.
    Zackrisson, Björn
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Moreau, Mathieu
    Department of Hematology, Oncology and Radiation Physics, Skane University Hospital, Lund University, Lund, Sweden.
    Thellenberg-Karlsson, Camilla
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Olsson, Lars.E.
    Department of Translational Medicine, Medical Radiation Physics, Lund University, Malmö, Sweden.
    Widmark, Anders
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Blomqvist, Lennart
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Berg Loegager, Vibeke
    Department of Radiology, Copenhagen University Hospital in Herlev, Herlev, Denmark.
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Nyholm, Tufve
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Histopathology-validated gross tumor volume delineations of intraprostatic lesions using PSMA-positron emission tomography/multiparametric magnetic resonance imaging2024In: Physics and Imaging in Radiation Oncology, E-ISSN 2405-6316, Vol. 31, article id 100633Article in journal (Refereed)
    Abstract [en]

    Background and purpose: Dose escalation in external radiotherapy of prostate cancer shows promising results in terms of biochemical disease-free survival. Boost volume delineation guidelines are sparse which may cause high interobserver variability. The aim of this research was to characterize gross tumor volume (GTV) delineations based on multiparametric magnetic resonance imaging (mpMRI) and prostate specific membrane antigen-positron emission tomography (PSMA-PET) in relation to histopathology-validated Gleason grade 4 and 5 regions.

    Material and methods: The study participants were examined with [68Ga]PSMA-PET/mpMRI prior to radical prostatectomy. Four radiation oncologists delineated GTVs in 15 study participants, on four different image types; T2-weighted (T2w), diffusion weighted imaging (DWI), dynamic contrast enhanced (DCE) and PSMA-PET scans separately. The simultaneous truth and performance level estimation (STAPLE) algorithm was used to generate combined GTVs. GTVs were subsequently compared to histopathology. We analysed how Dice similarity coefficient (DSC) and lesion coverage are affected by using single versus multiple image types as well as by adding a clinical target volume (CTV) margin.

    Results: Median DSC (STAPLE) for different GTVs varied between 0.33 and 0.52. GTVPSMA-PET/mpMRI generated the highest median lesion coverage at 0.66. Combining different image types achieved similar lesion coverage as adding a CTV margin to contours from a single image type, while reducing non-malignant tissue inclusion within the target volume.

    Conclusion: The combined use of mpMRI or PSMA-PET/mpMRI shows promise, achieving higher DSC and lesion coverage while minimizing non-malignant tissue inclusion, in comparison to the use of a single image type with an added CTV margin.

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  • 6.
    Jestin Hannan, Christine
    et al.
    Department of surgical sciences, Uppsala University, Sweden; Department of surgery, Visby lasarett, Sweden.
    Risso, Solange León
    Department of surgical sciences, Uppsala University, Sweden.
    Lindblad, Mats
    Department of surgical sciences, intervention and technology (CLINTEC), Karolinska Institutet, Sweden.
    Szabo, Eva
    Department of clinical sciences, Örebro University, Sweden.
    Edholm, David
    Department of biomedical and clinical sciences, Linköping University, Sweden.
    Bartholomä, Wolf Claus
    Department of biomedical and clinical sciences, Linköping University, Sweden.
    Åkesson, Oscar
    Department of surgical sciences, Lund University, Sweden.
    Lindberg, Fredrik
    Umeå University, Faculty of Medicine, Department of Surgical and Perioperative Sciences.
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Linder, Gustav
    Department of surgical sciences, Uppsala University, Sweden.
    Hedberg, Jakob
    Department of surgical sciences, Uppsala University, Sweden.
    Differences in multidisciplinary team assessment on esophageal cancer patients in Sweden: a multicentre study2022In: Diseases of the esophagus, ISSN 1120-8694, E-ISSN 1442-2050, Vol. 35, no Suppl. 2, article id 436Article in journal (Refereed)
    Abstract [en]

    There are differences in esophageal cancer care across different counties in Sweden. According to national guidelines, all patients should be offered equal care which should be administrated by regional multidisciplinary cancer conferences (MCCs). The aim of the study was to investigate differences between the six regional MCCs in Sweden regarding clinical stageing and recommended treatment.

    Ten consecutive cases per participating center, 60 cases in total, were planned for inclusion. After anonymization the radiological investigations were presented, along with the original case-specific medical history, anew at the six regional MCCs. Estimation of clinical TNM and treatment allocation (curative, palliative or best supportive care) were compared between MCCs as well as with the original assessment. Interim analysis was performed in April 2022 when ten cases had been presented at five of the six regional MCCs.

    All available cases were assessed at five MCCs in addition to the previous original assessment (60 assessments). The mean age for the first ten cases was 74.8 years (SD ± 9.8 years). Eight out of ten cases were men. In estimations of T- and N-stage the MCCs agreed in only one out of ten cases. In half of the cases more than three different estimations of N-stage were made. For clinical M-stage there was exact agreement in three cases. In determination of recommended treatment, all five MCCs were in agreement on half of the cases.

    Preliminary data show striking differences, both in assessment of TNM as well as treatment recommendation at different MCCs. One patient, recommended curative treatment by one MCC could be allocated to palliative care by another. Inclusion is ongoing and further analysis of these differences are warranted to achieve more equal care for esophageal cancer patients in Sweden.

  • 7.
    Nilsson, Erik
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Sandgren, Kristina
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Grefve, Josefine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Jonsson, Joakim
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Axelsson, Jan
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Keeratijarut Lindberg, Angsana
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Söderkvist, Karin
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Thellenberg Karlsson, Camilla
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Widmark, Anders
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Blomqvist, Lennart
    Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden.
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Bergh, Anders
    Umeå University, Faculty of Medicine, Department of Medical Biosciences, Pathology.
    Nyholm, Tufve
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    The grade of individual prostate cancer lesions predicted by magnetic resonance imaging and positron emission tomography2023In: Communications Medicine, E-ISSN 2730-664X, Vol. 3, no 1, article id 164Article in journal (Refereed)
    Abstract [en]

    Background: Multiparametric magnetic resonance imaging (mpMRI) and positron emission tomography (PET) are widely used for the management of prostate cancer (PCa). However, how these modalities complement each other in PCa risk stratification is still largely unknown. We aim to provide insights into the potential of mpMRI and PET for PCa risk stratification.

    Methods: We analyzed data from 55 consecutive patients with elevated prostate-specific antigen and biopsy-proven PCa enrolled in a prospective study between December 2016 and December 2019. [68Ga]PSMA-11 PET (PSMA-PET), [11C]Acetate PET (Acetate-PET) and mpMRI were co-registered with whole-mount histopathology. Lower- and higher-grade lesions were defined by International Society of Urological Pathology (ISUP) grade groups (IGG). We used PET and mpMRI data to differentiate between grades in two cases: IGG 3 vs. IGG 2 (case 1) and IGG ≥ 3 vs. IGG ≤ 2 (case 2). The performance was evaluated by receiver operating characteristic (ROC) analysis.

    Results: We find that the maximum standardized uptake value (SUVmax) for PSMA-PET achieves the highest area under the ROC curve (AUC), with AUCs of 0.72 (case 1) and 0.79 (case 2). Combining the volume transfer constant, apparent diffusion coefficient and T2-weighted images (each normalized to non-malignant prostatic tissue) results in AUCs of 0.70 (case 1) and 0.70 (case 2). Adding PSMA-SUVmax increases the AUCs by 0.09 (p < 0.01) and 0.12 (p < 0.01), respectively.

    Conclusions: By co-registering whole-mount histopathology and in-vivo imaging we show that mpMRI and PET can distinguish between lower- and higher-grade prostate cancer, using partially discriminative cut-off values.

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  • 8.
    Sandgren, Kristina
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Johansson, Lennart
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Axelsson, Jan
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Jonsson, Joakim
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Ögren, Mattias
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Ögren, Margareta
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Andersson, Martin
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Nyholm, Tufve
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Widmark, Anders
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Radiation dosimetry of [Ga-68]PSMA-11 in low-risk prostate cancer patients2019In: EJNMMI Physics, E-ISSN 2197-7364, Vol. 6, article id 2Article in journal (Refereed)
    Abstract [en]

    Background: 68Ga-labeled Glu-NH-CO-NH-Lys(Ahx)-HBED-CC ([68Ga]PSMA-11) has been increasingly used to image prostate cancer using positron emission tomography (PET)/computed tomography (CT) both during diagnosis and treatment planning. It has been shown to be of clinical value for patients both in the primary and secondary stages of prostate cancer. The aim of this study was to determine the effective dose and organ doses from injection of [68Ga]PSMA-11 in a cohort of low-risk prostate cancer patients.

    Methods: Six low-risk prostate cancer patients were injected with 133–178 MBq [68Ga]PSMA-11 and examined with four PET/CT acquisitions from injection to 255 min post-injection. Urine was collected up to 4 h post-injection, and venous blood samples were drawn at 45 min, 85 min, 175 min, and 245 min post-injection. Kidneys, liver, lungs, spleen, salivary and lacrimal glands, and total body where delineated, and cumulated activities and absorbed organ doses calculated. The software IDAC-Dose 2.1 was used to calculate absorbed organ doses according to the International Commission on Radiological Protection (ICRP) publication 107 using specific absorbed fractions published in ICRP 133 and effective dose according to ICRP Publication 103. We also estimated the absorbed dose to the eye lenses using Monte Carlo methods.

    Results: [68Ga]PSMA-11 was rapidly cleared from the blood and accumulated preferentially in the kidneys and the liver. The substance has a biological half-life in blood of 6.5 min (91%) and 4.4 h (9%). The effective dose was calculated to 0.022 mSv/MBq. The kidneys received approximately 40 mGy after an injection with 160 MBq [68Ga]PSMA-11 while the lacrimal glands obtained an absorbed dose of 0.12 mGy per administered MBq. Regarding the eye lenses, the absorbed dose was low (0.0051 mGy/MBq).

    Conclusion: The effective dose for [68Ga]PSMA-11 is 0.022 mSv/MBq, where the kidneys and lacrimal glands receiving the highest organ dose.

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  • 9.
    Sandgren, Kristina
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Jonsson, Joakim
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Nyholm, Tufve
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Ögren, Mattias
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Axelsson, Jan
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Blomqvist, Lennart
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Friedrich, Bengt
    Umeå University, Faculty of Medicine, Department of Surgical and Perioperative Sciences, Urology and Andrology.
    Bergh, Anders
    Umeå University, Faculty of Medicine, Department of Medical Biosciences.
    Ahlström Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Widmark, Anders
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Histology correlation of in vivo [68Ga]PSMA-PET/MRI data of the prostate2018In: Radiotherapy and Oncology, ISSN 0167-8140, E-ISSN 1879-0887, Vol. 127, p. S541-S541Article in journal (Other academic)
  • 10.
    Sandgren, Kristina
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Nilsson, Erik
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Keeratijarut Lindberg, Angsana
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Blomqvist, Lennart
    Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden.
    Bergh, Anders
    Umeå University, Faculty of Medicine, Department of Medical Biosciences, Pathology.
    Friedrich, Bengt
    Umeå University, Faculty of Medicine, Department of Surgical and Perioperative Sciences, Urology and Andrology.
    Axelsson, Jan
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Ögren, Margareta
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Ögren, Mattias
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Widmark, Anders
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Thellenberg-Karlsson, Camilla
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Söderström, Karin
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Jonsson, Joakim
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Nyholm, Tufve
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Registration of histopathology to magnetic resonance imaging of prostate cancer2021In: Physics and Imaging in Radiation Oncology, E-ISSN 2405-6316, Vol. 18, p. 19-25Article in journal (Refereed)
    Abstract [en]

    Background and purpose: The diagnostic accuracy of new imaging techniques requires validation, preferably by histopathological verification. The aim of this study was to develop and present a registration procedure between histopathology and in-vivo magnetic resonance imaging (MRI) of the prostate, to estimate its uncertainty and to evaluate the benefit of adding a contour-correcting registration.

    Materials and methods: For twenty-five prostate cancer patients, planned for radical prostatectomy, a 3D-printed prostate mold based on in-vivo MRI was created and an ex-vivo MRI of the specimen, placed inside the mold, was performed. Each histopathology slice was registered to its corresponding ex-vivo MRI slice using a 2D-affine registration. The ex-vivo MRI was rigidly registered to the in-vivo MRI and the resulting transform was applied to the histopathology stack. A 2D deformable registration was used to correct for specimen distortion concerning the specimen's fit inside the mold. We estimated the spatial uncertainty by comparing positions of landmarks in the in-vivo MRI and the corresponding registered histopathology stack.

    Results: Eighty-four landmarks were identified, located in the urethra (62%), prostatic cysts (33%), and the ejaculatory ducts (5%). The median number of landmarks was 3 per patient. We showed a median in-plane error of 1.8 mm before and 1.7 mm after the contour-correcting deformable registration. In patients with extraprostatic margins, the median in-plane error improved from 2.1 mm to 1.8 mm after the contour-correcting deformable registration.

    Conclusions: Our registration procedure accurately registers histopathology to in-vivo MRI, with low uncertainty. The contour-correcting registration was beneficial in patients with extraprostatic surgical margins.

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  • 11.
    Sandgren, Kristina
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Jonsson, Joakim
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Grefve, Josefine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Keeratijarut Lindberg, Angsana
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Nilsson, Erik
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Bergh, Anders
    Umeå University, Faculty of Medicine, Department of Medical Biosciences, Pathology.
    Söderkvist, Karin
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Thellenberg-Karlsson, Camilla
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Friedrich, Bengt
    Umeå University, Faculty of Medicine, Department of Surgical and Perioperative Sciences, Urology and Andrology.
    Widmark, Anders
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Blomqvist, Lennart
    Department of Molecular Medicine and Surgery, Karolinska Institute, Solna, Sweden.
    Loegager, Vibeke Berg
    Department of Radiology, Copenhagen University Hospital in Herlev, Herlev, Denmark.
    Axelsson, Jan
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Ögren, Mattias
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Ögren, Margareta
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Nyholm, Tufve
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Histopathology-validated lesion detection rates of clinically significant prostate cancer with mpMRI, [68Ga]PSMA-11-PET and [11C]Acetate-PET2023In: Nuclear medicine communications, ISSN 0143-3636, E-ISSN 1473-5628, Vol. 44, no 11, p. 997-1004Article in journal (Refereed)
    Abstract [en]

    Objective: PET/CT and multiparametric MRI (mpMRI) are important diagnostic tools in clinically significant prostate cancer (csPC). The aim of this study was to compare csPC detection rates with [68Ga]PSMA-11-PET (PSMA)-PET, [11C] Acetate (ACE)-PET, and mpMRI with histopathology as reference, to identify the most suitable imaging modalities for subsequent hybrid imaging. An additional aim was to compare inter-reader variability to assess reproducibility.

    Methods: During 2016–2019, all study participants were examined with PSMA-PET/mpMRI and ACE-PET/CT prior to radical prostatectomy. PSMA-PET, ACE-PET and mpMRI were evaluated separately by two observers, and were compared with histopathology-defined csPC. Statistical analyses included two-sided McNemar test and index of specific agreement.

    Results: Fifty-five study participants were included, with 130 histopathological intraprostatic lesions >0.05 cc. Of these, 32% (42/130) were classified as csPC with ISUP grade ≥2 and volume >0.5 cc. PSMA-PET and mpMRI showed no difference in performance (P = 0.48), with mean csPC detection rate of 70% (29.5/42) and 74% (31/42), respectively, while with ACE-PET the mean csPC detection rate was 37% (15.5/42). Interobserver agreement was higher with PSMA-PET compared to mpMRI [79% (26/33) vs 67% (24/38)]. Including all detected lesions from each pair of observers, the detection rate increased to 90% (38/42) with mpMRI, and 79% (33/42) with PSMA-PET.

    Conclusion: PSMA-PET and mpMRI showed high csPC detection rates and superior performance compared to ACE-PET. The interobserver agreement indicates higher reproducibility with PSMA-PET. The combined result of all observers in both PSMA-PET and mpMRI showed the highest detection rate, suggesting an added value of a hybrid imaging approach.

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  • 12.
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    11C-Acetate-PET/CT in Primary Staging of High-Risk Prostate Cancer2020Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Prostate cancer (PC) is the second most common cancer in men worldwide, affecting ~12%. Although most are clinically insignificant low-risk cancers, the more aggressive high-risk cancers require correct staging, prior to curative radiotherapy or surgery. Standard staging procedures and tools include clinical examination, estimated nomogram risk of pelvic lymph node (LN) metastases, and bone scintigraphy (BS). Additional staging information can be obtained with magnetic resonance imaging (MRI), computed tomography (CT) and positron-emission tomography/computed tomography (PET/CT). PET/CT can provide information on both functional and morphological changes.

    The aims of the present thesis were to investigate the diagnostic and prognostic value of 11C-acetate (ACE)-PET/CT in high-risk PC, and to optimize the ACE-PET protocol. In study I and II, higher detection rates of LN metastases and bone metastases were found with ACE-PET/CT, than with standard methods nomogram risk and BS. The higher ACE uptake in the prostate (prostate lipogenic tumor burden), the higher the risk of suspected LN metastases (N+ disease) on PET/CT. ACE-PET/CT findings correlated better than BS with follow-up data, and influenced therapy in 11-43%. In study III, PET reconstruction algorithm with resolution recovery showed more accurate functional tumor volumes compared to CT, and higher measurements of lipogenic activity, than reconstruction algorithm without resolution recovery. Study IV was part of an interventional radiotherapy study (PARAPLY) on high-risk PC, with addition of image-guided simultaneous integrated boost to delineated prostate tumors and pelvic LN metastases reported in ACE-PET/CT and MRI. Comparative analyses of clinical risk parameters and baseline ACE-PET/CT parameters showed significant associations between nomogram risk and prostate lipogenic tumor burden, between N+ disease on PET/CT and prostate lipogenic tumor burden, but surprisingly not between nomogram risk and N+ disease on PET/CT. PET with resolution recovery was superior in detection of N+ disease.

    In conclusion, ACE-PET/CT showed a higher detection rate of suspected metastases compared to standard methods clinical nomogram and BS, in high-risk PC. PET reconstruction with resolution recovery seems to improve the diagnostic added value of ACE-PET/CT. Prostate lipogenic tumor burden could serve as a predictor of N+ disease. The prognostic value of ACE-PET/CT remains to be investigated in future studies.

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  • 13.
    Strandberg, Sara
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Hashemi, Armin
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Axelsson, Jan
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Optimization of PET reconstruction algorithm, SUV thresholding algorithm and PET acquisition time in clinical 11C-acetate PET/CT2018In: PLOS ONE, E-ISSN 1932-6203, Vol. 13, no 12, article id e0209169Article in journal (Refereed)
    Abstract [en]

    Introduction 11C-acetate (ACE)-PET/CT is used for staging of high-risk prostate cancer. PET data is reconstructed with iterative algorithms, such as VUEPointHD ViP (VPHD) and VUEPoint HD Sharp IR (SharpIR), the latter with additional resolution recovery. It is expected that the resolution recovery algorithm should render more accurate maximum and mean standardized uptake values (SUVmax and SUVmean) and functional tumor volumes (FTV) than the ordinary OSEM. Performing quantitative analysis, choice of volume-of-interest delineation algorithm (SUV threshold) may influence FTV. Optimizing PET acquisition time is justified if image quality and quantitation do not deteriorate. The aim of this study is to identify the optimal reconstruction algorithm, SUV threshold and acquisition time for ACE-PET/CT. Methods ACE-PET/CT data acquired with a General Electric Discovery 690 PET/CT from 16 consecutive high-risk prostate cancer patients was reconstructed with VPHD and SharpIR. Forty pelvic lymph nodes (LNs) and 14 prostate glands were delineated with 42% and estimated threshold. SUVmax, SUVmean, FTV and total lesion uptake were measured. Default acquisition time was four minutes per bed position. In a subset of lesions, acquisition times of one, two and four minutes were evaluated. Structural tumor volumes (STV) of the LNs were measured with CT for correlation with functional volumetric parameters. To validate SUV quantification under different conditions with SharpIR 42%, recovery coefficients (RCs) of SUVmean and FTV were calculated from a phantom with 18F-fluoro-deoxy-glucose (FDG)-filled volumes 0.1–9.2cm3 and signal-to-background (S/B) ratios 4.3–15.9. Results With SharpIR, SUVmax and SUVmean were higher and FTV lower compared with VPHD, regardless of threshold method, in both prostates and LNs. Total lesion uptake determined with both threshold methods was lower with SharpIR compared with VPHD with both threshold methods, except in subgroup analysis of prostate targets where estimated threshold returned higher values. Longer acquisition times returned higher FTV for both threshold methods, regardless of reconstruction algorithm. The FTV difference was most pronounced with one minute’s acquisition per bed position, which also produced visually the highest noise. SUV parameters were unaffected by varying acquisition times. FTV with SharpIR 42% showed the best correspondence with STV. SharpIR 42% gave higher RCs of SUVmean and FTV with increasing phantom size and S/B-ratio, as expected. Conclusions Delineation with SharpIR 42% seems to provide the most accurate combined information from SUVmax, SUVmean, FTV and total lesion uptake. Acquisition time may be shortened to two minutes per bed position with preserved image quality.

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  • 14.
    Strandberg, Sara
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Jonsson, Joakim
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Zarei, Maryam
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Aglund, Kristina
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Blomqvist, Lennart
    Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden.
    Söderkvist, Karin
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Baseline and early response 2-[18F]FDG-PET/MRI for prediction of radiotherapy outcome in uterine cervical squamous cell carcinoma: a prospective single-center observational cohort study2024In: EJNMMI Reports, E-ISSN 3005-074X, Vol. 8, no 1, article id 5Article in journal (Refereed)
    Abstract [en]

    Background: Should early response imaging predict tumor response to therapy, personalized treatment adaptations could be feasible to improve outcome or reduce the risk of adverse events. This prospective single-center observational study on 2-fluorine-18-fluoro-deoxy-glucose (2-[18F]FDG) positron-emission tomography/magnetic resonance imaging (PET/MRI) features aims to investigate the association between semantic 2-[18F]FDG-PET/MRI imaging parameters and outcome prediction in uterine cervical squamous cell carcinoma (CSCC) treated with radiotherapy.

    Results: Eleven study participants with previously untreated CSCC were examined with 2-[18F]FDG-PET/MRI at baseline and approximately one week after start of curative radiotherapy. All study participants had at least 24 months clinical follow-up. Two patients relapsed during the follow-up period. Reduced tumor size according to visual assessment was present in 9/11 participants (median change in sum of largest diameters (SLD) − 10.4%; range − 2.5 to − 24.6%). The size reduction was less pronounced in the relapse group compared to the no relapse group, with median change in SLD − 4.9%, versus − 10.4%. None of the reductions qualified as significantly reduced or increased in size according to RECIST 1.1., hence all participants were at this stage classified as non-responders/stable disease. Median baseline functional tumor volume (FTV) for the relapse group was 126 cm3, while for the no relapse group 9.3 cm3. Median delta FTV in the relapse group was 50.7 cm3, representing an actual increase in metabolically active volume, while median delta FTV in the no relapse group was − 2.0 cm3. Median delta apparent diffusion coefficient (ADC) was lower in the relapse group versus the no relapse group (− 3.5 mm2/s vs. 71 mm2/s).

    Conclusions: Early response assessment with 2-[18F]FDG-PET/MRI identified potentially predictive functional imaging biomarkers for prediction of radiotherapy outcome in CSCC, that could not be recognized with tumor measurements according to RECIST 1.1. These biomarkers (delta FTV and delta ADC) should be further evaluated.

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  • 15.
    Strandberg, Sara
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Karlsson, Camilla Thellenberg
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Sundström, Torbjörn
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Ögren, Mattias
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Ögren, Margareta
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Axelsson, Jan
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    11C-acetate PET/CT in pre-therapeutic lymph node staging in high-risk prostate cancer patients and its influence on disease management: a retrospective study2014In: EJNMMI Research, E-ISSN 2191-219X, Vol. 4, no 55, p. 1-9Article in journal (Refereed)
    Abstract [en]

    Background: Radiation treatment with simultaneous integrated boost against suspected lymph node metastases may be a curative therapeutic option in patients with high-risk prostate cancer (>15% estimated risk of pelvic lymph node metastases according to the Cagiannos nomogram). 11C-acetate positron emission tomography/computed tomography (PET/CT) can be used for primary staging as well as for detection of suspected relapse of prostate cancer. The aims of this study were to evaluate the association between positive 11C-acetate PET/CT findings and the estimated risk of pelvic lymph node metastases and to assess the impact of 11C-acetate PET/CT on patient management in high-risk prostate cancer patients.

    Methods: Fifty consecutive prostate cancer patients referred for primary staging with 11C-acetate PET/CT prior to radiotherapy with curative intention were enrolled in this retrospective study.

    Results: All patients showed increased 11C-acetate uptake in the prostate. Pelvic lymph node uptake was seen in 42% (21/50) of the patients, with positive external iliac lymph nodes in 71% (15/21) of these. The overall observed proportion of PET/CT-positive pelvic lymph nodes at patient level was higher than the average estimated risk, especially in low-risk groups (<15%). There was a significant association between observed proportion and estimated risk of pelvic lymph node metastases in groups with ≤45 and >45% estimated risk. Treatment strategy was altered due to 11C-acetate PET/CT findings in 43% (20/47) of the patients.

    Conclusions: The observed proportion of 11C-acetate PET/CT findings suggestive of locoregional metastases was higher than the estimated risk, suggesting that the Cagiannos nomogram underestimates the risk for metastases. The imaging results with 11C-acetate PET/CT have a considerable impact on patient management.

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  • 16.
    Strandberg, Sara
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Karlsson, Camilla Thellenberg
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Ögren, Mattias
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Axelsson, Jan
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    C-11-Acetate-PET/CT Compared to Tc-99m-HDP Bone Scintigraphy in Primary Staging of High-risk Prostate Cancer2016In: Anticancer Research, ISSN 0250-7005, E-ISSN 1791-7530, Vol. 36, no 12, p. 6475-6479Article in journal (Refereed)
    Abstract [en]

    Aim: The aim of this study was to evaluate the detection rate of bone metastases and the added value of C-11-acetate (ACE) positron-emission tomography/computed tomography (PET/CT) compared to bone scintigraphy (BS) in high-risk prostate cancer (PC).

    Materials and Methods: A total of 66 untreated patients with high-risk PC with ACE-PET/CT and planar BS findings within 3 months of each other were retrospectively enrolled. Findings were compared and verified with follow-up data after an average of 26 months.

    Results: The rate of detection of bone metastases was superior with ACE-PET/CT compared to BS (p<0.01). Agreement between the methods and between BS and follow-up was moderate (Cohen's kappa coefficient of 0.64 and 0.66, respectively). Agreement between ACE-PET/CT and follow-up was excellent (kappa coefficient of 0.95). Therapy was changed in 11% of patients due to ACE-PET/CT results.

    Conclusion: ACE-PET/CT performed better than planar BS in detection of bone metastases in high-risk PC. ACE-PET/CT findings influenced clinical management.

  • 17.
    Strandberg, Sara
    et al.
    Umeå University, Faculty of Medicine, Department of Surgical and Perioperative Sciences, Sports Medicine.
    Nordström, Peter
    Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Geriatric Medicine. Umeå University, Faculty of Medicine, Department of Surgical and Perioperative Sciences, Sports Medicine.
    Lorentzon, Ronny
    Umeå University, Faculty of Medicine, Department of Surgical and Perioperative Sciences, Sports Medicine.
    Lorentzon, Mattias
    Umeå University, Faculty of Medicine, Department of Surgical and Perioperative Sciences, Sports Medicine.
    Vitamin D receptor start codon polymorphism (FokI) is related to bone mineral density in healthy adolescent boys2003In: Journal of Bone and Mineral Metabolism, ISSN 0914-8779, E-ISSN 1435-5604, Vol. 21, no 2, p. 109-113Article in journal (Refereed)
    Abstract [en]

    Peak bone mass is considered a major determinant in the emergence of osteoporosis and is mainly genetically regulated. Several genes have been investigated, among them the vitamin D receptor (VDR) gene. A single-nucleotide polymorphism (defined by the endonuclease FokI) located in the start codon of the VDR creates the alleles F and f, resulting in different proteins. A number of previous studies have proved the F allele to be more advantageous as concerns bone mineral density (BMD). In this longitudinal study of 88 adolescent boys, we have investigated whether the different genotypes are associated with BMD, bone mineral content (BMC), or bone area. BMD, BMC, and bone area of the right femoral neck, lumbar spine, and total body were measured using dual-energy X-ray absorptiometry. Differences in phenotypes in relation to the FokI polymorphism were calculated by means of an analysis of variance (ANOVA), with Bonferroni's correction for multiple comparisons. At the first examination, the FokI genotypes were significantly related to lumbar spine BMC and total body bone area in boys aged 16.9 +/- 0.3 years (mean +/- SD). There was a strong tendency towards significance as regards pubertal stage, total body and femoral neck BMC, weight, lean body mass, lumbar spine bone area, and lumbar spine BMD. There were no significant differences in height, fat mass, birth height and weight, total body and femoral neck BMD, and femoral neck bone area. Regression analysis proved the FokI genotypes to be independently related to lumbar spine BMD (FF > ff; P < 0.01), and possibly total body BMD (P = 0.06), but not femoral neck BMD. At the second examination, approximately 2 years later, our ANOVA results showed significance as regards femoral neck BMC and weight. Using multiple regression, the FokI genotypes were independently related to lumbar spine BMD (FF > ff; P = 0.03), and total body BMD (P < 0.05), but not femoral neck BMD. This study proves the FokI polymorphism to be an independent predictor of lumbar spine BMD are probably total body BMD, but not femoral neck BMD.

  • 18.
    Strandberg, Sara
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Thellenberg Karlsson, Camilla
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Åhlström Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences.
    Unexpected Findings in C-11-acetate-PET/CT in Prostate Cancer Patients2014In: European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, E-ISSN 1619-7089, Vol. 41, no suppl 2, p. S386-S386, article id P099Article in journal (Other academic)
  • 19.
    Strandberg, Sara
    et al.
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Thellenberg-Karlsson, Camilla
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Axelsson, Jan
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Baseline 11C-acetate-PET/CT-derived parameters compared with clinical pre-treatment risk parameters in primary staging of high-risk prostate cancer – possible prognostic implicationsManuscript (preprint) (Other academic)
  • 20.
    Zarei, Maryam
    et al.
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF). Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
    Wallstén, Elin
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).
    Grefve, Josefine
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).
    Söderkvist, Karin
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Gunnlaugsson, Adalsteinn
    Department of Hematology, Oncology and Radiation Physics, Skane University Hospital, Lund, Sweden.
    Sandgren, Kristina
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).
    Jonsson, Joakim
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).
    Keeratijarut Lindberg, Angsana
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).
    Nilsson, Erik
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).
    Bergh, Anders
    Umeå University, Faculty of Medicine, Department of Medical Biosciences, Pathology.
    Zackrisson, Björn
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Moreau, Mathieu
    Department of Hematology, Oncology and Radiation Physics, Skane University Hospital, Lund, Sweden.
    Thellenberg-Karlsson, Camilla
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Olsson, Lars E.
    Department of Translational Medicine, Medical Radiation Physics, Lund University, Malmö, Sweden.
    Widmark, Anders
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
    Riklund, Katrine
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology. Umeå University, Faculty of Medicine, Umeå Centre for Functional Brain Imaging (UFBI).
    Blomqvist, Lennart
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF). Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden.
    Berg Loegager, Vibeke
    Department of Radiology, Copenhagen University Hospital in Herlev, Herlev, Denmark.
    Axelsson, Jan
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).
    Strandberg, Sara
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology.
    Nyholm, Tufve
    Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).
    Accuracy of gross tumour volume delineation with [68Ga]-PSMA-PET compared to histopathology for high-risk prostate cancer2024In: Acta Oncologica, ISSN 0284-186X, E-ISSN 1651-226X, Vol. 63, p. 503-510Article in journal (Refereed)
    Abstract [en]

    BACKGROUND: The delineation of intraprostatic lesions is vital for correct delivery of focal radiotherapy boost in patients with prostate cancer (PC). Errors in the delineation could translate into reduced tumour control and potentially increase the side effects. The purpose of this study is to compare PET-based delineation methods with histopathology.

    MATERIALS AND METHODS: The study population consisted of 15 patients with confirmed high-risk PC intended for prostatectomy. [68Ga]-PSMA-PET/MR was performed prior to surgery. Prostate lesions identified in histopathology were transferred to the in vivo [68Ga]-PSMA-PET/MR coordinate system. Four radiation oncologists manually delineated intraprostatic lesions based on PET data. Various semi-automatic segmentation methods were employed, including absolute and relative thresholds, adaptive threshold, and multi-level Otsu threshold.

    RESULTS: The gross tumour volumes (GTVs) delineated by the oncologists showed a moderate level of interobserver agreement with Dice similarity coefficient (DSC) of 0.68. In comparison with histopathology, manual delineations exhibited the highest median DSC and the lowest false discovery rate (FDR) among all approaches. Among semi-automatic approaches, GTVs generated using standardized uptake value (SUV) thresholds above 4 (SUV > 4) demonstrated the highest median DSC (0.41), with 0.51 median lesion coverage ratio, FDR of 0.66 and the 95th percentile of the Hausdorff distance (HD95%) of 8.22 mm.

    INTERPRETATION: Manual delineations showed a moderate level of interobserver agreement. Compared to histopathology, manual delineations and SUV > 4 exhibited the highest DSC and the lowest HD95% values. The methods that resulted in a high lesion coverage were associated with a large overestimation of the size of the lesions.

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