Robust radiomics: a review of guidelines for radiomics in medical imaging
Centro di Riferimento Oncologico · Istituti di Ricovero e Cura a Carattere Scientifico · +5 more institutions
Abstract
Radiomics aims to develop image-based biomarkers by combining quantitative analysis of medical images with artificial intelligence (AI) through a robust, reproducible pipeline. Scientific societies, task groups, and consortia have published several guidelines to help researchers design robust radiomics studies. This review summarizes existing guidelines, recommendations, and regulations for designing radiomics studies that can lead to clinically adoptable biomarkers.
Relevant articles were identified through a PubMed systematic review using "radiomics" and "guideline" as keywords. Of 314 retrieved papers, after screening 99 articles were deemed relevant for extracting recommendations on developing image-based biomarkers. Additional guidelines were searched by the authors.
Citation impact
- FWCI
- 92.35
- Percentile
- 100%
- References
- 242
Authors
9- MAMichele AvanzoCorresponding
Centro di Riferimento Oncologico, Istituti di Ricovero e Cura a Carattere Scientifico
- PSP. Soda
Università Campus Bio-Medico
- MBMarco Bertolini
Azienda Sanitaria Unità Locale di Reggio Emilia
- ABAndrea Bettinelli
Istituto Oncologico Veneto, Istituti di Ricovero e Cura a Carattere Scientifico
- TRTiziana Rancati
Fondazione IRCCS Istituto Nazionale dei Tumori
Topics & keywords
- Radiomics
- Medical imaging
- Precision medicine
- Biomarker
- Key (lock)
- Imaging biomarker
- Personalized medicine