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Histopathology-validated gross tumor volume delineations of intraprostatic lesions using PSMA-positron emission tomography/multiparametric magnetic resonance imaging
Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.ORCID iD: 0000-0002-3488-7784
Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.ORCID iD: 0000-0002-3683-3763
Department of Hematology, Oncology and Radiation Physics, Skane University Hospital, Lund University, Lund, Sweden.
Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention. Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.ORCID iD: 0000-0001-8890-241x
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2024 (English)In: Physics and Imaging in Radiation Oncology, E-ISSN 2405-6316, Vol. 31, article id 100633Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 31, article id 100633
National Category
Radiology, Nuclear Medicine and Medical Imaging Cancer and Oncology
Identifiers
URN: urn:nbn:se:umu:diva-229329DOI: 10.1016/j.phro.2024.100633ISI: 001313678300001Scopus ID: 2-s2.0-85202586079OAI: oai:DiVA.org:umu-229329DiVA, id: diva2:1897418
Funder
Swedish Cancer SocietyCancerforskningsfonden i NorrlandProstatacancerförbundetRegion VästerbottenAvailable from: 2024-09-13 Created: 2024-09-13 Last updated: 2025-04-24Bibliographically approved

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Grefve, JosefineSöderkvist, KarinSandgren, KristinaJonsson, JoakimKeeratijarut Lindberg, AngsanaNilsson, ErikAxelsson, JanBergh, AndersZackrisson, BjörnThellenberg-Karlsson, CamillaWidmark, AndersRiklund, KatrineBlomqvist, LennartStrandberg, SaraNyholm, Tufve

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Grefve, JosefineSöderkvist, KarinSandgren, KristinaJonsson, JoakimKeeratijarut Lindberg, AngsanaNilsson, ErikAxelsson, JanBergh, AndersZackrisson, BjörnThellenberg-Karlsson, CamillaWidmark, AndersRiklund, KatrineBlomqvist, LennartStrandberg, SaraNyholm, Tufve
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Physics and Imaging in Radiation Oncology
Radiology, Nuclear Medicine and Medical ImagingCancer and Oncology

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