Translating radiomics into clinical practice: A step-by-step guide to study design and evaluation
Open Access
- 22 August 2025
- journal article
- review article
- Published by Elsevier in Clinical Radiology
- Vol. 90, 107053
Abstract
No abstract availableKeywords
Funding Information
- UKRI Medical Research Council (WSCC_PB1626)
- Imperial Experimental Cancer Medicine Centre
- Imperial College London
This publication has 74 references indexed in Scilit:
- Federated Learning in radiomics: A comprehensive meta-survey on medical image analysisComputer Methods and Programs in Biomedicine, 2025
- Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysisEuropean Radiology, 2025
- Overlooked and underpowered: a meta-research addressing sample size in radiomics prediction models for binary outcomesEuropean Radiology, 2025
- ESR Essentials: radiomics—practice recommendations by the European Society of Medical Imaging InformaticsEuropean Radiology, 2024
- A Deep Learning Model for Predicting Molecular Subtype of Breast Cancer by Fusing Multiple Sequences of DCE-MRI From Two InstitutesAcademic Radiology, 2024
- Beyond regulatory compliance: evaluating radiology artificial intelligence applications in deploymentClinical Radiology, 2024
- Minimum sample size for external validation of a clinical prediction model with a binary outcomeStatistics in Medicine, 2021
- Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectivesEuropean Radiology, 2020
- Computer-aided volumetric assessment of malignant pleural mesothelioma on CT using a random walk-based methodInternational Journal of Computer Assisted Radiology and Surgery, 2016
- The biology underlying molecular imaging in oncology: from genome to anatome and back againClinical Radiology, 2010