Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform

2020196 citationsJournal Articlehybrid Open Access

Authors

Isabella Fornacon-Wood · University of Manchester

Hitesh Mistry · Cancer Research UK Manchester Institute

Christoph Ackermann · Spital STS

Fiona Blackhall · University of Manchester

Andrew McPartlin · The Christie Hospital

Corinne Faivre‐Finn · University of Manchester

Gareth Price

Abstract

• Reliability of radiomic features varies between feature calculation platforms and with choice of software version. • Image Biomarker Standardisation Initiative (IBSI) compliance improves reliability of radiomic features across platforms, but only when calculation settings are harmonised. • IBSI compliance, user-defined calculation settings and choice of platform version collectively affect the prognostic value of features.

Topics & Keywords

Radiomics and Machine Learning in Medical Imaging Gastric Cancer Management and Outcomes Colorectal and Anal Carcinomas

Publication Details

Published in: European Radiology

Volume 30, Issue 11, pp. 6241-6250

DOI: 10.1007/s00330-020-06957-9

Field-Weighted Citation Impact: 13.47

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Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform

Authors

Abstract

Topics & Keywords

Publication Details