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Impact of neoadjuvant androgen deprivation therapy on magnetic resonance imaging features in prostate cancer before radiotherapy
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.ORCID iD: 0000-0003-4132-6915
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.ORCID iD: 0000-0002-8971-9788
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
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2021 (English)In: Physics and Imaging in Radiation Oncology, E-ISSN 2405-6316, Vol. 17, p. 117-123Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 17, p. 117-123
Keywords [en]
Androgen deprivation, GLCM, mpMRI, Prostate, Texture
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:umu:diva-181012DOI: 10.1016/j.phro.2021.01.004ISI: 000645143900021Scopus ID: 2-s2.0-85101352503OAI: oai:DiVA.org:umu-181012DiVA, id: diva2:1534228
Available from: 2021-03-05 Created: 2021-03-05 Last updated: 2024-07-02Bibliographically approved
In thesis
1. MRI in prostate cancer: implications for target volume
Open this publication in new window or tab >>MRI in prostate cancer: implications for target volume
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
MRT bildtagning vid prostatacancer : implikationer för strålbehandlingsområdet?
Abstract [en]

Prostate cancer (PCa) is the most common cancer among men, with 10 000 new cases per year in Sweden [1]. To diagnose PCa, magnetic resonance imaging (MRI) is used to identify and classify the disease. The patient’s treatment strategy depends on PCa classification and clinical data, which are weighted together into a risk group classification from 1–5. For patients with higher risk classes (>3), radiotherapy together with hormone therapy is a common treatment option [2].

In radiotherapy (RT), individual treatment plans are created based on the patient’s anatomy. These plans are based on computed tomography (CT), often supplemented with MRI images. MRI and CT complement each other, as MRI has better soft tissue contrast and CT has better bone contrast. Based on the images, the volumes to be treated (target) and the volumes to be avoided (risk organs) are defined. Prostate RT is complex, and there are uncertainties regarding the patient's internal movements and how the patient is positioned before each treatment. To account for these uncertainties, the radiation field is expanded (extended margins to target) to ensure that the treatment volume receives its radiotherapy. RT is most often given in fractions. Fractionation, dose, and treatment volume depend on the patient’s risk category. The treatment area can be, for example, only prostate, prostate with extra radiation dose (boost) to an intraprostatic tumour, or prostate with lymph node (LN) irradiation. LN irradiation is most often given for preventive purposes for PCa with a risk classification >4, which means no cancer has been identified, but any microscopic spread to the LNs is being treated profylactically.

In RT, target identification is essential both in the treatment planning images (CT/MRI) and at treatment. Studies have shown that PCa often re-occurs in or near the volume of the dominant (often largest) intraprostatic tumour [3, 4], and this volume is relevant for boosting. For patients treated with hormone therapy before radiotherapy, tumour identification is complicated. Hormones change the tumour characteristics, affecting the image contrast and making the tumour difficult to identify. To study this, we investigated whether texture analysis could identify the tumour volume after hormone therapy (paper II). However, even with texture analysis, the tumour was difficult to identify. A follow-up study examined whether the image information in MRI images taken before hormone therapy could indicate how the treatment fell out (paper IV). However, no correlation was seen between image features and the progression of PCa.

Identifying the target and correctly positioning the patient for each treatment fraction is the most important procedure in radiotherapy. The prostate is a mobile organ; therefore, intraprostatic fiducial markers are inserted before treatment planning to reduce positioning uncertainties. Each radiotherapy session begins with an X-ray image where the markers are visible, and the radiation can be delivered based on the markers' position.  The markers are also used as guidance for large target volumes, such as for prostate with LN irradiation. With better knowledge of the prostate and LN movements, the margins can potentially be reduced, followed by reduced radiation dose to healthy tissue and therefore reduced side effects for patients. Movements in the radiotherapy volume were the focus of paper I. Using MRI images, the movements of the prostate and LNs were measured during the course of radiotherapy, and we found that LN movement is independent of the movement of the prostate and that the movement varies in the target volume.

In addition to the recurrence of PCa in the tumour area, there is an increased risk of recurrence in the prostate periphery close to the rectum. Since the rectum and prostate are in contact for some patients, RT must be adapted to make rectum side effects tolerable.  One way to increase the distance between the prostate and the rectum is to inject a gel between the two organs. The distance makes it easier to achieve a better dose distribution to the PCa. This idea resulted in paper III, where patients were given a gel between the prostate and rectum. MRI was used to check the stability of the gel during the course of RT and was evaluated together with long-term follow-up of the patient’s well-being and acceptance of the gel. We found that the radiation dose to the rectum was lower with a spacer, although the spacer was not completely stable during treatment.

Place, publisher, year, edition, pages
Umeå: Umeå universitet, 2023. p. 62
Series
Umeå University medical dissertations, ISSN 0346-6612 ; 2225
Keywords
MRI, imaging, prostate, radiotherapy, target detection
National Category
Radiology, Nuclear Medicine and Medical Imaging Cancer and Oncology
Research subject
radiation physics
Identifiers
urn:nbn:se:umu:diva-205285 (URN)978-91-7855-988-6 (ISBN)978-91-7855-989-3 (ISBN)
Public defence
2023-03-30, Hörsal B, Norrlands universitetssjukhus, byggnad 1D, T9, Umeå, 13:00 (English)
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Supervisors
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Region Västernorrland, 8206
Available from: 2023-03-09 Created: 2023-03-01 Last updated: 2024-07-02Bibliographically approved

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Björeland, UlrikaNyholm, TufveJonsson, JoakimStrandberg, SaraRiklund, KatrineBeckman, LarsThellenberg-Karlsson, Camilla

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