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Radiomics and Molecular Classification in Endometrial Cancer (The ROME Study): A Step Forward to a Simplified Precision Medicine.
Bogani, Giorgio; Chiappa, Valentina; Lopez, Salvatore; Salvatore, Christian; Interlenghi, Matteo; D'Oria, Ottavia; Giannini, Andrea; Leone Roberti Maggiore, Umberto; Chiarello, Giulia; Palladino, Simona; Bascio, Ludovica Spano'; Castiglioni, Isabella; Raspagliesi, Francesco.
Afiliação
  • Bogani G; Fondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
  • Chiappa V; Fondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
  • Lopez S; Fondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
  • Salvatore C; DeepTrace Technologies, Scuola Universitaria Degli Studi Superiori IUSS-Pavia, 27100 Pavia, Italy.
  • Interlenghi M; DeepTrace Technologies, Scuola Universitaria Degli Studi Superiori IUSS-Pavia, 27100 Pavia, Italy.
  • D'Oria O; Department of Medical and Surgical Sciences and Translational Medicine, Sapienza University, 00185 Rome, Italy.
  • Giannini A; Department of Medical and Surgical Sciences and Translational Medicine, Sapienza University, 00185 Rome, Italy.
  • Leone Roberti Maggiore U; Fondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
  • Chiarello G; Fondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
  • Palladino S; Fondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
  • Bascio LS; Fondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
  • Castiglioni I; Dipartimento di Fisica G. Occhialini, University of Milan-Bicocca, 20121 Milano, Italy.
  • Raspagliesi F; Fondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
Healthcare (Basel) ; 10(12)2022 12 07.
Article em En | MEDLINE | ID: mdl-36553988
ABSTRACT
Molecular/genomic profiling is the most accurate method to assess prognosis of endometrial cancer patients. Radiomic profiling allows for the extraction of mineable high-dimensional data from clinical radiological images, thus providing noteworthy information regarding tumor tissues. Interestingly, the adoption of radiomics shows important results for screening, diagnosis and prognosis, across various radiological systems and oncologic specialties. The central hypothesis of the prospective trial is that combining radiomic features with molecular features might allow for the identification of various classes of risks for endometrial cancer, e.g., predicting unfavorable molecular/genomic profiling. The rationale for the proposed research is that once validated, radiomics applied to ultrasonographic images would be an effective, innovative and inexpensive method for tailoring operative and postoperative treatment modalities in endometrial cancer. Patients with newly diagnosed endometrial cancer will have ultrasonographic evaluation and radiomic analysis of the ultrasonographic images. We will correlate radiomic features with molecular/genomic profiling to classify prognosis.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Healthcare (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Healthcare (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália