ArticleEuropean radiology2020
Manual prostate cancer segmentation in MRI: interreader agreement and volumetric correlation with transperineal template core needle biopsy.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep Learning Prostate MRI Segmentation Accuracy and Robustness: A Systematic Review.Radiology. Artificial intelligence · 2024Pooled it
- A comprehensive framework for multi-class prostate cancer classification using biparametric MRI: a multi-center retrospective study.Insights into imaging · 2026Article
- Autonomous AI in prostate cancer: the road ahead towards clinical implementation.Abdominal radiology (New York) · 2026Review
- Inter- and intra-rater variability of MRI-based lesion size measurements in active surveillance for prostate cancer: a multicentre study.European radiology · 2026Article
- Clinical Use of Hematoma Volume Based On Automated Segmentation of Chronic Subdural Hematoma Using 3D U-Net.Clinical neuroradiology · 2024Article
- Magnetic resonance radiomic feature performance in pulmonary nodule classification and impact of segmentation variability on radiomics.The British journal of radiology · 2022Article
- Multiparametric MRI-based radiomics model to predict pelvic lymph node invasion for patients with prostate cancer.European radiology · 2022Article
- Article
- Explainable AI for CNN-based prostate tumor segmentation in multi-parametric MRI correlated to whole mount histopathology.Radiation oncology (London, England) · 2022Article
- A Comparative Study of Multiparametric MRI Sequences in Measuring Prostate Cancer Index Lesion Volume.Journal of the Belgian Society of Radiology · 2022Article
- Evaluation of Traumatic Subdural Hematoma Volume by Using Image Segmentation Assessment Based on Deep Learning.Computational and mathematical methods in medicine · 2022Article
- Quantifying Tumor and Vasculature Deformations during Laryngoscopy.Annals of biomedical engineering · 2022Article
- On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking.European radiology experimental · 2021Article
- Prostate cancer measurements on serial MRI during active surveillance: it's time to be PRECISE.The British journal of radiology · 2020Article
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Authors and funding
8 authors.
Funding
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Abstract
objectivesTo assess interreader agreement of manual prostate cancer lesion segmentation on multiparametric MR images (mpMRI). The secondary aim was to compare tumor volume estimates between MRI segmentation and transperineal template saturation core needle biopsy (TTSB).
methodsWe retrospectively reviewed patients who had undergone mpMRI of the prostate at our institution and who had received TTSB within 190 days of the examination. Seventy-eight cancer lesions with Gleason score of at least 3 + 4 = 7 were manually segmented in T2-weighted images by 3 radiologists and 1 medical student. Twenty lesions were also segmented in apparent diffusion coefficient (ADC) and dynamic contrast enhanced (DCE) series. First, 20 volumetric similarity scores were computed to quantify interreader agreement. Second, manually segmented cancer lesion volumes were compared with TTSB-derived estimates by Bland-Altman analysis and Wilcoxon testing.
resultsInterreader agreement across all readers was only moderate with mean T2 Dice score of 0.57 (95%CI 0.39-0.70), volumetric similarity coefficient of 0.74 (0.48-0.89), and Hausdorff distance of 5.23 mm (3.17-9.32 mm). Discrepancy of volume estimate between MRI and TTSB was increasing with tumor size. Discrepancy was significantly different between tumors with a Gleason score 3 + 4 vs. higher grade tumors (0.66 ml vs. 0.78 ml; p = 0.007). There were no significant differences between T2, ADC, and DCE segmentations.
conclusionsWe found at best moderate interreader agreement of manual prostate cancer segmentation in mpMRI. Additionally, our study suggests a systematic discrepancy between the tumor volume estimate by MRI segmentation and TTSB core length, especially for large and high-grade tumors. KEY POINTS: • Manual prostate cancer segmentation in mpMRI shows moderate interreader agreement. • There are no significant differences between T2, ADC, and DCE segmentation agreements. • There is a systematic difference between volume estimates derived from biopsy and MRI.
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