Radiomics and Molecular Classification in Endometrial Cancer (The ROME Study): A Step Forward to a Simplified Precision Medicine

Author:

Bogani Giorgio1ORCID,Chiappa Valentina1,Lopez Salvatore1,Salvatore Christian2ORCID,Interlenghi Matteo2ORCID,D’Oria Ottavia3ORCID,Giannini Andrea3ORCID,Leone Roberti Maggiore Umberto1ORCID,Chiarello Giulia1,Palladino Simona1,Bascio Ludovica1,Castiglioni Isabella4ORCID,Raspagliesi Francesco1

Affiliation:

1. Fondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy

2. DeepTrace Technologies, Scuola Universitaria Degli Studi Superiori IUSS-Pavia, 27100 Pavia, Italy

3. Department of Medical and Surgical Sciences and Translational Medicine, Sapienza University, 00185 Rome, Italy

4. Dipartimento di Fisica G. Occhialini, University of Milan-Bicocca, 20121 Milano, Italy

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.

Funder

Fondazione IRCCS Istituto Nazionale dei Tumori di Milano

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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