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The impact of radiomics in the management of soft tissue sarcoma.
De Angelis, Riccardo; Casale, Roberto; Coquelet, Nicolas; Ikhlef, Samia; Mokhtari, Ayoub; Simoni, Paolo; Bali, Maria Antonietta.
Afiliação
  • De Angelis R; Institut Jules Bordet, Anderlecht, Belgium.
  • Casale R; Université Libre de Bruxelles, Brussels, Belgium.
  • Coquelet N; Institut Jules Bordet, Anderlecht, Belgium. roberto.casale@hubruxelles.be.
  • Ikhlef S; Université Libre de Bruxelles, Brussels, Belgium. roberto.casale@hubruxelles.be.
  • Mokhtari A; Institut Jules Bordet, Anderlecht, Belgium.
  • Simoni P; Institut Jules Bordet, Anderlecht, Belgium.
  • Bali MA; Université Libre de Bruxelles, Brussels, Belgium.
Discov Oncol ; 15(1): 62, 2024 Mar 05.
Article em En | MEDLINE | ID: mdl-38441726
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article