Litcius/Paper detail

Inter-Rater Variability of Prostate Lesion Segmentation on Multiparametric Prostate MRI

Thibaut Jeganathan, Emile Salgues, Ulrike Schick, V. Tissot, Georges Fournier, Antoine Valéri, Truong An Nguyen, Vincent Bourbonne

2023Biomedicines13 citationsDOIOpen Access PDF

Abstract

INTRODUCTION: External radiotherapy is a major treatment for localized prostate cancer (PCa). Dose escalation to the whole prostate gland increases biochemical relapse-free survival but also acute and late toxicities. Dose escalation to the dominant index lesion (DIL) only is of growing interest. It requires a robust delineation of the DIL. In this context, we aimed to evaluate the inter-observer variability of DIL delineation. MATERIAL AND METHODS: Two junior radiologists and a senior radiation oncologist delineated DILs on 64 mpMRIs of patients with histologically confirmed PCa. For each mpMRI and each reader, eight individual DIL segmentations were delineated. These delineations were blindly performed from one another and resulted from the individual analysis of the T2, apparent diffusion coefficient (ADC), b2000, and dynamic contrast enhanced (DCE) sequences, as well as the analysis of combined sequences (T2ADC, T2ADCb2000, T2ADCDCE, and T2ADCb2000DCE). Delineation variability was assessed using the DICE coefficient, Jaccard index, Hausdorff distance measure, and mean distance to agreement. RESULTS: < 0.001). The analysis of other similarity metrics lead to similar results. The tumor volume and PI-RADS classification were positively correlated with the DICE scores. CONCLUSION: Our study showed that the contours of prostatic lesions were more reproducible on certain sequences but confirmed the great variability of prostatic contours with a maximum DICE coefficient calculated at 0.55 (joint analysis of T2, ADC, and perfusion sequences).

Topics & Concepts

MedicineJaccard indexProstate cancerProstateDiceNuclear medicineEffective diffusion coefficientSørensen–Dice coefficientContouringHausdorff distanceContext (archaeology)SegmentationRadiation therapyMagnetic resonance imagingRadiologyCancerInternal medicineMathematicsImage segmentationStatisticsPattern recognition (psychology)Artificial intelligenceComputer scienceBiologyPaleontologyComputer graphics (images)Prostate Cancer Diagnosis and TreatmentMRI in cancer diagnosisAdvanced Radiotherapy Techniques
Inter-Rater Variability of Prostate Lesion Segmentation on Multiparametric Prostate MRI | Litcius