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The prognostic value of radiomic features in liver-limited metastatic colorectal cancer patients from the TRIBE2 study

    Federica Marmorino

    Unit of Oncology, University Hospital of Pisa, Pisa, Italy & Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy

    ,
    Lorenzo Faggioni

    Academic Radiology, Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy

    ,
    Daniele Rossini

    Unit of Oncology, University Hospital of Pisa, Pisa, Italy & Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy

    ,
    Michela Gabelloni

    Academic Radiology, Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy

    ,
    Antonio Goddi

    Academic Radiology, Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy

    ,
    Loïc Ferrer

    SOPHiA GENETICS, Multimodal Research team, Cité de la Photonique, 11 avenue de Canteranne, 33600, PESSAC, France

    ,
    Veronica Conca

    Unit of Oncology, University Hospital of Pisa, Pisa, Italy & Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy

    ,
    Jennifer Vargas

    SOPHiA GENETICS, Multimodal Research team, Cité de la Photonique, 11 avenue de Canteranne, 33600, PESSAC, France

    ,
    Fiammetta Biagiarelli

    SOPHiA GENETICS SA, Rue du Centre 172, CH-1025. Saint Sulpice, Switzerland

    ,
    Francesca Daniel

    Oncology Unit 1, Veneto Institute of Oncology IOV - IRCCS, 35128, Padova, Italy

    ,
    Martina Carullo

    Unit of Oncology, University Hospital of Pisa, Pisa, Italy & Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy

    ,
    Guglielmo Vetere

    Unit of Oncology, University Hospital of Pisa, Pisa, Italy & Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy

    ,
    Cristina Granetto

    SC Oncologia AO S. Croce & Carle, University Teaching Hospital, Via A. Carle 25, 12100, Cuneo, Italy

    ,
    Chiara Boccaccio

    Unit of Oncology, University Hospital of Pisa, Pisa, Italy & Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy

    ,
    Dania Cioni

    Academic Radiology, Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy

    ,
    Lorenzo Antonuzzo

    Clinical Oncology Unit, Careggi University Hospital, Department of Experimental & Clinical Medicine, University of Florence, Viale Pieraccini 6, 50139, Firenze, Italy

    ,
    Francesca Bergamo

    Oncology Unit 1, Veneto Institute of Oncology IOV - IRCCS, 35128, Padova, Italy

    ,
    Filippo Pietrantonio

    Medical Oncology Department, Fondazione IRCCS, Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, 20133, Milano, Italy

    ,
    Chiara Cremolini‡

    *Author for correspondence: Tel.: +39 050 992192;

    E-mail Address: chiaracremolini@gmail.com

    Unit of Oncology, University Hospital of Pisa, Pisa, Italy & Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy

    ‡Co-senior authors and have equal responsibility

    Search for more papers by this author

    &
    Emanuele Neri‡

    Academic Radiology, Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy

    ‡Co-senior authors and have equal responsibility

    Search for more papers by this author

    Published Online:https://doi.org/10.2217/fon-2023-0406

    Aims: Evaluating the prognostic role of radiomic features in liver-limited metastatic colorectal cancer treated with first-line therapy at baseline and best response among patients undergoing resection. Patients & methods: Among patients enrolled in TRIBE2 (NCT02339116), the association of clinical and radiomic data, extracted by SOPHiA-DDM™ with progression-free and overall survival (OS) in the overall population and with disease-free survival/postresection OS in those undergoing resection was investigated. Results: Among 98 patients, radiomic parameters improved the prediction accuracy of our model for OS (area under the curve: 0.83; sensitivity: 0.85; specificity: 0.73; accuracy: 0.78), but not progression-free survival. Of 46 resected patients, small-distance high gray-level emphasis was associated with shorter disease-free survival and high gray-level zone emphasis/higher kurtosis with shorter postresection OS. Conclusion: Radiomic features should be implemented as tools of outcome prediction for liver-limited metastatic colorectal cancer.

    Tweetable abstract

    In colorectal liver metastases, radiomics could be a valid tool for predicting prognosis in patients receiving first-line treatment and for stratification of patients based on the risk of relapse after curative resection.

    Papers of special note have been highlighted as: • of interest

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