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Quantitative 3-T multi-parametric MRI and step-section pathology of recurrent prostate cancer patients after radiation therapy

OBJECTIVES: Diagnosis of radio-recurrent prostate cancer using multi-parametric MRI (mp-MRI) can be challenging due to the presence of radiation effects. We aim to characterize imaging of prostate tissue after radiation therapy (RT), using histopathology as ground truth, and to investigate the visib...

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Autores principales: Dinis Fernandes, Catarina, Ghobadi, Ghazaleh, van der Poel, Henk G., de Jong, Jeroen, Heijmink, Stijn W. T. P. J., Schoots, Ivo, Walraven, Iris, van Houdt, Petra J., Smolic, Milena, Pos, Floris J., van der Heide, Uulke A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610274/
https://www.ncbi.nlm.nih.gov/pubmed/30421016
http://dx.doi.org/10.1007/s00330-018-5819-y
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author Dinis Fernandes, Catarina
Ghobadi, Ghazaleh
van der Poel, Henk G.
de Jong, Jeroen
Heijmink, Stijn W. T. P. J.
Schoots, Ivo
Walraven, Iris
van Houdt, Petra J.
Smolic, Milena
Pos, Floris J.
van der Heide, Uulke A.
author_facet Dinis Fernandes, Catarina
Ghobadi, Ghazaleh
van der Poel, Henk G.
de Jong, Jeroen
Heijmink, Stijn W. T. P. J.
Schoots, Ivo
Walraven, Iris
van Houdt, Petra J.
Smolic, Milena
Pos, Floris J.
van der Heide, Uulke A.
author_sort Dinis Fernandes, Catarina
collection PubMed
description OBJECTIVES: Diagnosis of radio-recurrent prostate cancer using multi-parametric MRI (mp-MRI) can be challenging due to the presence of radiation effects. We aim to characterize imaging of prostate tissue after radiation therapy (RT), using histopathology as ground truth, and to investigate the visibility of tumor lesions on mp-MRI. METHODS: Tumor delineated histopathology slides from salvage radical prostatectomy patients, primarily treated with RT, were registered to MRI. Median T2-weighted, ADC, K(trans), and k(ep) values in tumor and other regions were calculated. Two radiologists independently performed mp-MRI-based tumor delineations which were compared with the true pathological extent. General linear mixed-effect modeling was used to establish the contribution of each imaging modality and combinations thereof in distinguishing tumor and benign voxels. RESULTS: Nineteen of the 21 included patients had tumor in the available histopathology slides. Recurrence was predominantly multifocal with large tumor foci seen after external beam radiotherapy, whereas these were small and sparse after low-dose-rate brachytherapy. MRI-based delineations missed small foci and slightly underestimated tumor extent. The combination of T2-weighted, ADC, K(trans), and k(ep) had the best performance in distinguishing tumor and benign voxels. CONCLUSIONS: Using high-resolution histopathology delineations, the real tumor extent and size were found to be underestimated on MRI. mp-MRI obtained the best performance in identifying tumor voxels. Appropriate margins around the visible tumor-suspected region should be included when designing focal salvage strategies. Recurrent tumor delineation guidelines are warranted. KEY POINTS: • Compared to the use of individual sequences, multi-parametric MRI obtained the best performance in distinguishing recurrent tumor from benign voxels. • Delineations based on mp-MRI miss smaller foci and slightly underestimate tumor volume of local recurrent prostate cancer. • Focal salvage strategies should include appropriate margins around the visible tumor. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-018-5819-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-66102742019-07-19 Quantitative 3-T multi-parametric MRI and step-section pathology of recurrent prostate cancer patients after radiation therapy Dinis Fernandes, Catarina Ghobadi, Ghazaleh van der Poel, Henk G. de Jong, Jeroen Heijmink, Stijn W. T. P. J. Schoots, Ivo Walraven, Iris van Houdt, Petra J. Smolic, Milena Pos, Floris J. van der Heide, Uulke A. Eur Radiol Magnetic Resonance OBJECTIVES: Diagnosis of radio-recurrent prostate cancer using multi-parametric MRI (mp-MRI) can be challenging due to the presence of radiation effects. We aim to characterize imaging of prostate tissue after radiation therapy (RT), using histopathology as ground truth, and to investigate the visibility of tumor lesions on mp-MRI. METHODS: Tumor delineated histopathology slides from salvage radical prostatectomy patients, primarily treated with RT, were registered to MRI. Median T2-weighted, ADC, K(trans), and k(ep) values in tumor and other regions were calculated. Two radiologists independently performed mp-MRI-based tumor delineations which were compared with the true pathological extent. General linear mixed-effect modeling was used to establish the contribution of each imaging modality and combinations thereof in distinguishing tumor and benign voxels. RESULTS: Nineteen of the 21 included patients had tumor in the available histopathology slides. Recurrence was predominantly multifocal with large tumor foci seen after external beam radiotherapy, whereas these were small and sparse after low-dose-rate brachytherapy. MRI-based delineations missed small foci and slightly underestimated tumor extent. The combination of T2-weighted, ADC, K(trans), and k(ep) had the best performance in distinguishing tumor and benign voxels. CONCLUSIONS: Using high-resolution histopathology delineations, the real tumor extent and size were found to be underestimated on MRI. mp-MRI obtained the best performance in identifying tumor voxels. Appropriate margins around the visible tumor-suspected region should be included when designing focal salvage strategies. Recurrent tumor delineation guidelines are warranted. KEY POINTS: • Compared to the use of individual sequences, multi-parametric MRI obtained the best performance in distinguishing recurrent tumor from benign voxels. • Delineations based on mp-MRI miss smaller foci and slightly underestimate tumor volume of local recurrent prostate cancer. • Focal salvage strategies should include appropriate margins around the visible tumor. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-018-5819-y) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-11-12 2019 /pmc/articles/PMC6610274/ /pubmed/30421016 http://dx.doi.org/10.1007/s00330-018-5819-y Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Magnetic Resonance
Dinis Fernandes, Catarina
Ghobadi, Ghazaleh
van der Poel, Henk G.
de Jong, Jeroen
Heijmink, Stijn W. T. P. J.
Schoots, Ivo
Walraven, Iris
van Houdt, Petra J.
Smolic, Milena
Pos, Floris J.
van der Heide, Uulke A.
Quantitative 3-T multi-parametric MRI and step-section pathology of recurrent prostate cancer patients after radiation therapy
title Quantitative 3-T multi-parametric MRI and step-section pathology of recurrent prostate cancer patients after radiation therapy
title_full Quantitative 3-T multi-parametric MRI and step-section pathology of recurrent prostate cancer patients after radiation therapy
title_fullStr Quantitative 3-T multi-parametric MRI and step-section pathology of recurrent prostate cancer patients after radiation therapy
title_full_unstemmed Quantitative 3-T multi-parametric MRI and step-section pathology of recurrent prostate cancer patients after radiation therapy
title_short Quantitative 3-T multi-parametric MRI and step-section pathology of recurrent prostate cancer patients after radiation therapy
title_sort quantitative 3-t multi-parametric mri and step-section pathology of recurrent prostate cancer patients after radiation therapy
topic Magnetic Resonance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610274/
https://www.ncbi.nlm.nih.gov/pubmed/30421016
http://dx.doi.org/10.1007/s00330-018-5819-y
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