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Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology

BACKGROUND: Accurate prostate zonal segmentation on magnetic resonance images (MRI) is a critical prerequisite for automated prostate cancer detection. We aimed to assess the variability of manual prostate zonal segmentation by radiologists on T2-weighted (T2W) images, and to study factors that may...

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Autores principales: Montagne, Sarah, Hamzaoui, Dimitri, Allera, Alexandre, Ezziane, Malek, Luzurier, Anna, Quint, Raphaelle, Kalai, Mehdi, Ayache, Nicholas, Delingette, Hervé, Renard-Penna, Raphaële
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8179870/
https://www.ncbi.nlm.nih.gov/pubmed/34089410
http://dx.doi.org/10.1186/s13244-021-01010-9
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author Montagne, Sarah
Hamzaoui, Dimitri
Allera, Alexandre
Ezziane, Malek
Luzurier, Anna
Quint, Raphaelle
Kalai, Mehdi
Ayache, Nicholas
Delingette, Hervé
Renard-Penna, Raphaële
author_facet Montagne, Sarah
Hamzaoui, Dimitri
Allera, Alexandre
Ezziane, Malek
Luzurier, Anna
Quint, Raphaelle
Kalai, Mehdi
Ayache, Nicholas
Delingette, Hervé
Renard-Penna, Raphaële
author_sort Montagne, Sarah
collection PubMed
description BACKGROUND: Accurate prostate zonal segmentation on magnetic resonance images (MRI) is a critical prerequisite for automated prostate cancer detection. We aimed to assess the variability of manual prostate zonal segmentation by radiologists on T2-weighted (T2W) images, and to study factors that may influence it. METHODS: Seven radiologists of varying levels of experience segmented the whole prostate gland (WG) and the transition zone (TZ) on 40 axial T2W prostate MRI images (3D T2W images for all patients, and both 3D and 2D images for a subgroup of 12 patients). Segmentation variabilities were evaluated based on: anatomical and morphological variation of the prostate (volume, retro-urethral lobe, intensity contrast between zones, presence of a PI-RADS ≥ 3 lesion), variation in image acquisition (3D vs 2D T2W images), and reader’s experience. Several metrics including Dice Score (DSC) and Hausdorff Distance were used to evaluate differences, with both a pairwise and a consensus (STAPLE reference) comparison. RESULTS: DSC was 0.92 (± 0.02) and 0.94 (± 0.03) for WG, 0.88 (± 0.05) and 0.91 (± 0.05) for TZ respectively with pairwise comparison and consensus reference. Variability was significantly (p < 0.05) lower for the mid-gland (DSC 0.95 (± 0.02)), higher for the apex (0.90 (± 0.06)) and the base (0.87 (± 0.06)), and higher for smaller prostates (p < 0.001) and when contrast between zones was low (p < 0.05). Impact of the other studied factors was non-significant. CONCLUSIONS: Variability is higher in the extreme parts of the gland, is influenced by changes in prostate morphology (volume, zone intensity ratio), and is relatively unaffected by the radiologist’s level of expertise. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13244-021-01010-9.
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spelling pubmed-81798702021-06-07 Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology Montagne, Sarah Hamzaoui, Dimitri Allera, Alexandre Ezziane, Malek Luzurier, Anna Quint, Raphaelle Kalai, Mehdi Ayache, Nicholas Delingette, Hervé Renard-Penna, Raphaële Insights Imaging Original Article BACKGROUND: Accurate prostate zonal segmentation on magnetic resonance images (MRI) is a critical prerequisite for automated prostate cancer detection. We aimed to assess the variability of manual prostate zonal segmentation by radiologists on T2-weighted (T2W) images, and to study factors that may influence it. METHODS: Seven radiologists of varying levels of experience segmented the whole prostate gland (WG) and the transition zone (TZ) on 40 axial T2W prostate MRI images (3D T2W images for all patients, and both 3D and 2D images for a subgroup of 12 patients). Segmentation variabilities were evaluated based on: anatomical and morphological variation of the prostate (volume, retro-urethral lobe, intensity contrast between zones, presence of a PI-RADS ≥ 3 lesion), variation in image acquisition (3D vs 2D T2W images), and reader’s experience. Several metrics including Dice Score (DSC) and Hausdorff Distance were used to evaluate differences, with both a pairwise and a consensus (STAPLE reference) comparison. RESULTS: DSC was 0.92 (± 0.02) and 0.94 (± 0.03) for WG, 0.88 (± 0.05) and 0.91 (± 0.05) for TZ respectively with pairwise comparison and consensus reference. Variability was significantly (p < 0.05) lower for the mid-gland (DSC 0.95 (± 0.02)), higher for the apex (0.90 (± 0.06)) and the base (0.87 (± 0.06)), and higher for smaller prostates (p < 0.001) and when contrast between zones was low (p < 0.05). Impact of the other studied factors was non-significant. CONCLUSIONS: Variability is higher in the extreme parts of the gland, is influenced by changes in prostate morphology (volume, zone intensity ratio), and is relatively unaffected by the radiologist’s level of expertise. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13244-021-01010-9. Springer International Publishing 2021-06-05 /pmc/articles/PMC8179870/ /pubmed/34089410 http://dx.doi.org/10.1186/s13244-021-01010-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Montagne, Sarah
Hamzaoui, Dimitri
Allera, Alexandre
Ezziane, Malek
Luzurier, Anna
Quint, Raphaelle
Kalai, Mehdi
Ayache, Nicholas
Delingette, Hervé
Renard-Penna, Raphaële
Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology
title Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology
title_full Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology
title_fullStr Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology
title_full_unstemmed Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology
title_short Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology
title_sort challenge of prostate mri segmentation on t2-weighted images: inter-observer variability and impact of prostate morphology
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8179870/
https://www.ncbi.nlm.nih.gov/pubmed/34089410
http://dx.doi.org/10.1186/s13244-021-01010-9
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