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Updated: Jan 17, 2026

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
Published on: January 8, 2018
Translating radiomics into clinical practice: A step-by-step guide to study design and evaluation.
M Chen1, K Linton-Reid2, E O Aboagye2
1Department of Surgery and Cancer, Imperial College, Du Cane Road, London, W12 0NN, UK; Imperial College Healthcare NHS Trust, Charing Cross Hospital, Fulham Palace Road, London, W6 8RF, UK.
This guide simplifies radiomics (quantitative image analysis) for clinicians, offering practical steps for designing and evaluating studies. It focuses on key areas like data preprocessing and validation to improve radiomics research quality.
Area of Science:
- Medical Imaging Analysis
- Computational Pathology
Background:
- Radiomics offers significant potential for advancing precision medicine through high-throughput quantitative feature extraction from medical images.
- Despite research interest, clinical translation of radiomics is limited due to workflow complexity, posing challenges for clinicians without computational backgrounds.
Purpose of the Study:
- To provide a practical, step-by-step guide for planning and appraising radiomics studies.
- To address the technical complexities hindering radiomics adoption in clinical practice.
Main Methods:
- Focus on critical aspects: data preprocessing, feature reproducibility, bias minimization, and model validation.
- Emphasis on accessible, pragmatic advice for researchers new to radiomics.
Main Results:
- The guide aims to demystify radiomics study design and evaluation.
- It highlights frequently overlooked areas in early-stage radiomics research.
Conclusions:
- This guide seeks to broaden access to radiomics by equipping clinicians with practical knowledge.
- Facilitating high-quality study design and accelerating radiomics integration into patient care.
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