Quality appraisal of radiomics-based studies on chondrosarcoma using METhodological RadiomICs Score (METRICS) and Radiomics Quality Score (RQS)
The low scientific and reporting quality of radiomics studies on chondrosarcoma is the main reason preventing clinical translation. Quality appraisal using METRICS and RQS showed 37.3-94.8% and 2.8-44.4% adherence rates, respectively. Room for improvement was noted in study design, deep learning methods, external testing and open science. Employing reproducible quality scoring systems is recommended to design radiomics studies on bone chondrosarcoma and facilitate clinical translation.
Authors
- Renato Cuocolo (ORCID: https://orcid.org/0000-0002-1452-1574)
- Michail E. Klontzas (ORCID: https://orcid.org/0000-0003-2731-933X)
- Luca Maria Sconfienza (ORCID: https://orcid.org/0000-0003-0759-8431)
- Salvatore Gitto (ORCID: https://orcid.org/0000-0002-3623-7822)
- Carmelo Messina
- Domenico Albano
Institutions
- University of Salerno (IT)
- University of Crete (GR)
- University of Milan (IT)
- Karolinska Institutet (SE)
- IRCCS Ospedale Galeazzi - Sant'Ambrogio (IT)
- Istituto Ortopedico Gaetano Pini (IT)
- University Hospital of Heraklion (GR)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1186/s13244-025-02016-3
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Associazione Italiana per la Ricerca sul Cancro