In vivo variability of MRI radiomics features in prostate lesions assessed by a test-retest study with repositioning

In vivo variability of MRI radiomics features in prostate lesions assessed by a test-retest study with repositioning

Abstract Despite academic success, radiomics-based machine learning algorithms have not reached clinical practice, partially due to limited repeatability/reproducibility. To address this issue, this work aims to identify a stable subset of radiomics features in prostate MRI for radiomics modelling....

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Main Authors: Kevin Sun Zhang, Christian Jan Oliver Neelsen, Markus Wennmann, Thomas Hielscher, Balint Kovacs, Philip Alexander Glemser, Magdalena Görtz, Albrecht Stenzinger, Klaus H. Maier-Hein, Johannes Huber, Heinz-Peter Schlemmer, David Bonekamp
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Prostate
Magnetic resonance imaging
Reproducibility of results
Observer variation
Radiomics
Online Access:https://doi.org/10.1038/s41598-025-09989-7
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https://doi.org/10.1038/s41598-025-09989-7

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