Abstract
Radiomics is a tool for medical imaging analysis that could have a relevant role in precision oncology by offering precise quantitative support for clinical decision-making. The Radiomics Quality Score (RQS) is a tool developed to assess the rigour of radiomics studies that has now been widely adopted by researchers. Although RQS version 1.0 established a benchmark, an updated framework is required to account for evolving knowledge and ensure optimal evaluation of the quality of radiomics studies through the inclusion of fairness, explainability, rigorous quality control and harmonization. In this Review, we introduce the updated RQS 2.0, which maintains the scientific rigour of its predecessor and addresses these contemporary needs, and therefore could potentially accelerate clinical translation. Moreover, we introduce the radiomics readiness levels, inspired by the technology readiness level framework, which are integrated in RQS 2.0 and reflect nine distinct levels of incremental improvement in radiomics research with the ultimate aim of clinical implementation. We also detail anticipated future directions in radiomics, outlining a strategic vision to advance precision oncology, which is the ultimate aim of RQS 2.0.
| Original language | English |
|---|---|
| Pages (from-to) | 831-846 |
| Number of pages | 16 |
| Journal | Nature Reviews Clinical Oncology |
| Volume | 22 |
| Issue number | 11 |
| Early online date | 1 Sept 2025 |
| DOIs | |
| Publication status | Published - Nov 2025 |
Keywords
- ARTIFICIAL-INTELLIGENCE
- CANCER
- PREDICTION
- CHALLENGES
- INFORMATION
- FEATURES
- DEVICES
- IMAGES
- CELL
- CT
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