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Inter-Rater Variability of Prostate Lesion Segmentation on Multiparametric Prostate MRI.
Jeganathan, Thibaut; Salgues, Emile; Schick, Ulrike; Tissot, Valentin; Fournier, Georges; Valéri, Antoine; Nguyen, Truong-An; Bourbonne, Vincent.
Afiliação
  • Jeganathan T; Radiology Department, University Hospital, 29200 Brest, France.
  • Salgues E; Radiology Department, University Hospital, 29200 Brest, France.
  • Schick U; Radiation Oncology Department, University Hospital, 29200 Brest, France.
  • Tissot V; INSERM, LaTIM UMR 1101, University of Western Brittany, 29238 Brest, France.
  • Fournier G; Radiology Department, University Hospital, 29200 Brest, France.
  • Valéri A; INSERM, LaTIM UMR 1101, University of Western Brittany, 29238 Brest, France.
  • Nguyen TA; Urology Department, University Hospital, 29200 Brest, France.
  • Bourbonne V; INSERM, LaTIM UMR 1101, University of Western Brittany, 29238 Brest, France.
Biomedicines ; 11(12)2023 Dec 14.
Article em En | MEDLINE | ID: mdl-38137530
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:

T2, ADC, T2ADC, b2000, T2 + ADC + b2000, T2 + ADC + DCE, and T2 + ADC + b2000 + DCE sequences obtained DICE coefficients of 0.51, 0.50, 0.54, 0.52, 0.54, 0.55, 0.53, respectively, which are significantly higher than the perfusion sequence alone (0.35, p < 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).
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article