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Fat Fraction Extracted from Whole-Body Magnetic Resonance (WB-MR) in Bone Metastatic Prostate Cancer: Intra- and Inter-Reader Agreement of Single-Slice and Volumetric Measurements.

Authors :
Agazzi, Giorgio Maria
Di Meo, Nunzia
Rondi, Paolo
Saeli, Chiara
Dalla Volta, Alberto
Vezzoli, Marika
Berruti, Alfredo
Borghesi, Andrea
Maroldi, Roberto
Ravanelli, Marco
Farina, Davide
Source :
Tomography: A Journal for Imaging Research; Jul2024, Vol. 10 Issue 7, p1014-1023, 10p
Publication Year :
2024

Abstract

Background: This study evaluates the repeatability and reproducibility of fat-fraction percentage (FF%) in whole-body magnetic resonance imaging (WB-MRI) of prostate cancer patients with bone metastatic hormone naive disease. Methods: Patients were selected from the database of a prospective phase-II trial. The treatment response was assessed using the METastasis Reporting and Data System for Prostate (MET-RADS-P). Two operators identified a Small Active Lesion (SAL, <10 mm) and a Large Active Lesion (LAL, ≥10 mm) per patient, performing manual segmentation of lesion volume and the largest cross-sectional area. Measurements were repeated by one operator after two weeks. Intra- and inter-reader agreements were assessed via Interclass Correlation Coefficient (ICC) on first-order radiomics features. Results: Intra-reader ICC showed high repeatability for both SAL and LAL in a single slice (SS) and volumetric (VS) measurements with values ranging from 0.897 to 0.971. Inter-reader ICC ranged from 0.641 to 0.883, indicating moderate to good reproducibility. Spearman's rho analysis confirmed a strong correlation between SS and VS measurements for SAL (0.817) and a moderate correlation for LAL (0.649). Both intra- and inter-rater agreement exceeded 0.75 for multiple first-order features across lesion sizes. Conclusion: This study suggests that FF% measurements are reproducible, particularly for larger lesions in both SS and VS assessments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23791381
Volume :
10
Issue :
7
Database :
Complementary Index
Journal :
Tomography: A Journal for Imaging Research
Publication Type :
Academic Journal
Accession number :
178688845
Full Text :
https://doi.org/10.3390/tomography10070075