1. Inicio
  2. Publicaciones
  3. Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine

Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine

Fecha de publicación: Fecha Ahead of Print:

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

  • Lambin, P
  • Woodruff, HC
  • Mali, SA
  • Zhong, X
  • Kuang, S
  • Lavrova, E
  • Khan, H
  • Lekadir, K
  • Zwanenburg, A
  • Deasy, J
  • Bobowicz, M
  • Maidment, A
  • Dumontier, M
  • Kinahan, PE
  • Nobel, JM
  • Amirrajab, S
  • Salahuddin, Z

Grupos

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.

© 2025. Springer Nature Limited.

Datos de la publicación

ISSN/ISSNe:
1759-4774, 1759-4782

Nature Reviews Clinical Oncology  NATURE PORTFOLIO

Tipo:
Review
Páginas:
831-846
PubMed:
40903523
Enlace a otro recurso:
www.scopus.com
Factor de Impacto:
11,764 SCImago ℠
Cuartil:
Q1 SCImago ℠

Citas Recibidas en Web of Science: 54

Documentos

  • No hay documentos

Métricas

Filiaciones mostrar / ocultar

Keywords

  • Diagnostic Imaging; Humans; Neoplasms; Precision Medicine; Quality Control; Radiomics; Translational Research, Biomedical; benchmarking; clinical decision making; diagnostic imaging; fairness; human; image analysis; personalized cancer therapy; personalized medicine; quality control; radiomics; review; systematic review; diagnostic imaging; neoplasm; procedures; radiomics; translational research

Proyectos y Estudios Clínicos

CHAIMELEON. ACCELERATING THE LAB TO MARKET TRANSITION OF AI TOOLS FOR CANCER MANAGEMENT.

Investigador Principal: LUIS MARTÍ BONMATÍ

952172 . COMISION EUROPEA . 2020

RadioVal: International Clinical Validation of Radiomics Artificial Intelligence for Breast Cancer Treatment Planning.

Investigador Principal: LUIS MARTÍ BONMATÍ

101057699 . COMISION EUROPEA . 2022

Cita

Compartir