Radiomics in colorectal cancer patients  

作　　者：Riccardo Inchingolo Cesare Maino Roberto Cannella Federica Vernuccio Francesco Cortese Michele Dezio Antonio Rosario Pisani Teresa Giandola Marco Gatti Valentina Giannini Davide Ippolito Riccardo Faletti 

机构地区：[1]Unit of Interventional Radiology,F.Miulli Hospital,Acquaviva delle Fonti 70021,Italy [2]Department of Radiology,Fondazione IRCCS San Gerardo dei Tintori,Monza 20900,Italy [3]Department of Biomedicine,Neuroscience and Advanced Diagnostics(BiND),University of Palermo,Palermo 90127,Italy [4]Institute of Radiology,University Hospital of Padova,Padova 35128,Italy [5]Interdisciplinary Department of Medicine,Section of Nuclear Medicine,University of Bari“Aldo Moro”,Bari 70121,Italy [6]Department of Surgical Sciences,University of Turin,Turin 10126,Italy

出　　处：《World Journal of Gastroenterology》2023年第19期2888-2904,共17页世界胃肠病学杂志（英文版）

摘　　要：The main therapeutic options for colorectal cancer are surgical resection and adjuvant chemotherapy in non-metastatic disease.However,the evaluation of the overall adjuvant chemotherapy benefit in patients with a high risk of recurrence is challenging.Radiological images can represent a source of data that can be analyzed by using automated computer-based techniques,working on numerical information coded within Digital Imaging and Communications in Medicine files:This image numerical analysis has been named“radiomics”.Radiomics allows the extraction of quantitative features from radiological images,mainly invisible to the naked eye,that can be further analyzed by artificial intelligence algorithms.Radiomics is expanding in oncology to either understand tumor biology or for the development of imaging biomarkers for diagnosis,staging,and prognosis,prediction of treatment response and diseases monitoring and surveillance.Several efforts have been made to develop radiomics signatures for colorectal cancer patient using computed tomography(CT)images with different aims:The preoperative prediction of lymph node metastasis,detecting BRAF and RAS gene mutations.Moreover,the use of delta-radiomics allows the analysis of variations of the radiomics parameters extracted from CT scans performed at different timepoints.Most published studies concerning radiomics and magnetic resonance imaging(MRI)mainly focused on the response of advanced tumors that under-went neoadjuvant therapy.Nodes status is the main determinant of adjuvant chemotherapy.Therefore,several radiomics model based on MRI,especially on T2-weighted images and ADC maps,for the preoperative prediction of nodes metastasis in rectal cancer has been developed.Current studies mostly focused on the applications of radiomics in positron emission tomogra-phy/CT for the prediction of survival after curative surgical resection and assessment of response following neoadjuvant chemoradiotherapy.Since colorectal liver metastases develop in about 25%of patients with color

关 键 词：Colorectal cancer Radiomics Artificial intelligence Liver metastases Magnetic resonance imaging Computed tomography Positron emission tomography/computed tomography 

分 类 号：R735.34[医药卫生—肿瘤]