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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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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. |
format | Online Article Text |
id | pubmed-8179870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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