UM - RQS 2.0 with RRLs

UM - RQS 2.0 with RRLs provides a standardized evaluation framework that extends the Radiomics Quality Score to incorporate fairness, explainability, quality control, harmonization and a nine-stage Radiomics Readiness Levels (RRLs) scale to assess radiomics study rigor and support translation into precision oncology.


Key Features:

  • Enhanced Evaluation Framework: Integrates fairness, explainability, quality control, and harmonization into RQS 2.0 to evaluate radiomics study design and reporting.
  • Radiomics Readiness Levels (RRLs): Implements a nine-stage framework that delineates incremental development and maturity stages for radiomics research toward clinical implementation.
  • Structured Clinical Translation Pathway: Provides benchmarks and a staged pathway to inform progression from basic radiomics research to clinical application in precision oncology.

Scientific Applications:

  • Precision Oncology: Evaluates radiomics studies to ensure results are reliable, reproducible, and applicable to personalized cancer treatment strategies.
  • Research Rigor and Quality Control: Establishes benchmarks for data quality, analytical methods, reproducibility, fairness, and explainability in radiomics research.

Methodology:

The methodology performs a comprehensive assessment of radiomics studies across dimensions including data quality, analytical methods, reproducibility, and harmonization, and assigns studies to a nine-level Radiomics Readiness Levels (RRLs) scale to track progress toward clinical readiness.

Collections

Details

License:
Freeware
Maturity:
Emerging
Cost:
Free of charge
Tool Type:
api
Operating Systems:
Windows, Linux, Mac
Added:
11/4/2025
Last Updated:
11/4/2025

Operations

Publications

Lambin P, Woodruff HC, Mali SA, Zhong X, Kuang S, Lavrova E, Khan H, Lekadir K, Zwanenburg A, Deasy J, Bobowicz M, Marti-Bonmati L, Maidment A, Dumontier M, Kinahan PE, Nobel JM, Amirrajab S, Salahuddin Z. Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine. Nature Reviews Clinical Oncology. 2025;22(11):831-846. doi:10.1038/s41571-025-01067-1. PMID:40903523.

Documentation

User manual
https://www.radiomics.world/rqs2
Framework to establish a structured, step-by-step approach to radiomics research.