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

Federica MarmorinoLorenzo FaggioniDaniele RossiniMichela GabelloniAntonio GoddiLoïc FerrerVeronica ConcaJennifer VargasFiammetta BiagiarelliFrancesca DanielMartina CarulloGuglielmo VetereCristina GranettoChiara BoccaccioDania CioniLorenzo AntonuzzoFrancesca BergamoFilippo PietrantonioChiara CremoliniEmanuele Neri
Published in: Future oncology (London, England) (2023)
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.
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