The Impact of Radiomics in the Management of Soft Tissue Sarcoma

Overview

Journal Discov Oncol

Publisher Springer

Specialty Oncology

Date 2024 Mar 5

PMID 38441726

Authors

Riccardo De Angelis

Roberto Casale

Nicolas Coquelet

Samia Ikhlef

Ayoub Mokhtari

Paolo Simoni

Maria Antonietta Bali

Affiliations

Soon will be listed here.

Abstract

Introduction: Soft tissue sarcomas (STSs) are rare malignancies. Pre-therapeutic tumour grading and assessment are crucial in making treatment decisions. Radiomics is a high-throughput method for analysing imaging data, providing quantitative information beyond expert assessment. This review highlights the role of radiomic texture analysis in STSs evaluation.

Materials And Methods: We conducted a systematic review according to the Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive search was conducted in PubMed/MEDLINE and Scopus using the search terms: 'radiomics [All Fields] AND ("soft tissue sarcoma" [All Fields] OR "soft tissue sarcomas" [All Fields])'. Only original articles, referring to humans, were included.

Results: A preliminary search conducted on PubMed/MEDLINE and Scopus provided 74 and 93 studies respectively. Based on the previously described criteria, 49 papers were selected, with a publication range from July 2015 to June 2023. The main domains of interest were risk stratification, histological grading prediction, technical feasibility/reproductive aspects, treatment response.

Conclusions: With an increasing interest over the last years, the use of radiomics appears to have potential for assessing STSs from initial diagnosis to predicting treatment response. However, additional and extensive research is necessary to validate the effectiveness of radiomics parameters and to integrate them into a comprehensive decision support system.

Citing Articles

Artificial intelligence and radiomics in desmoid-type fibromatosis: are we there yet?.

Moussa T, Assi T, Kasraoui I, Ammari S, Balleyguier C Future Oncol. 2024; 21(1):1-3.

PMID: 39589757 PMC: 11760224. DOI: 10.1080/14796694.2024.2418796.

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