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Systematic Review on the Association of Radiomics with Tumor Biological Endpoints.
La Greca Saint-Esteven, Agustina; Vuong, Diem; Tschanz, Fabienne; van Timmeren, Janita E; Dal Bello, Riccardo; Waller, Verena; Pruschy, Martin; Guckenberger, Matthias; Tanadini-Lang, Stephanie.
Afiliação
  • La Greca Saint-Esteven A; Department of Radiation Oncology, University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland.
  • Vuong D; Department of Radiation Oncology, University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland.
  • Tschanz F; Laboratory of Applied Radiobiology, Department of Radiation Oncology, University of Zurich, 8091 Zurich, Switzerland.
  • van Timmeren JE; Department of Radiation Oncology, University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland.
  • Dal Bello R; Department of Radiation Oncology, University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland.
  • Waller V; Laboratory of Applied Radiobiology, Department of Radiation Oncology, University of Zurich, 8091 Zurich, Switzerland.
  • Pruschy M; Laboratory of Applied Radiobiology, Department of Radiation Oncology, University of Zurich, 8091 Zurich, Switzerland.
  • Guckenberger M; Department of Radiation Oncology, University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland.
  • Tanadini-Lang S; Department of Radiation Oncology, University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland.
Cancers (Basel) ; 13(12)2021 Jun 16.
Article em En | MEDLINE | ID: mdl-34208595
ABSTRACT
Radiomics supposes an alternative non-invasive tumor characterization tool, which has experienced increased interest with the advent of more powerful computers and more sophisticated machine learning algorithms. Nonetheless, the incorporation of radiomics in cancer clinical-decision support systems still necessitates a thorough analysis of its relationship with tumor biology. Herein, we present a systematic review focusing on the clinical evidence of radiomics as a surrogate method for tumor molecular profile characterization. An extensive literature review was conducted in PubMed, including papers on radiomics and a selected set of clinically relevant and commonly used tumor molecular markers. We summarized our findings based on different cancer entities, additionally evaluating the effect of different modalities for the prediction of biomarkers at each tumor site. Results suggest the existence of an association between the studied biomarkers and radiomics from different modalities and different tumor sites, even though a larger number of multi-center studies are required to further validate the reported outcomes.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Cancers (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Cancers (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça