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Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases

World Journal of Gastroenterology 2022年第1期28卷 108-122页

作者： Gianluca Rompianesi francesca pegoraro Carlo DL Ceresa Roberto Montalti Roberto Ivan Troisi Division of Hepato-Bilio-Pancreatic Minimally Invasive and Robotic SurgeryDepartment of Clinical Medicine and SurgeryFederico II University HospitalNaples 80125Italy Department of Hepato-Pancreato-Biliary Surgery Oxford University Hospitals NHS Foundation TrustOxford OX39ESUnited Kingdom Division of Hepato-Bilio-Pancreatic Minimally Invasive and Robotic SurgeryDepartment of Public HealthFederico II University HospitalNaples 80125Italy

Colorectal cancer(CRC)is the third most common malignancy worldwide,with approximately 50%of patients developing colorectal cancer liver metastasis(CRLM)during the follow-up *** of CRLM is best achieved via a multidisciplinary approach and the diagnostic and therapeutic decision-making process is *** order to optimize patients’survival and quality of life,there are several unsolved challenges which must be *** primarily include a timely diagnosis and the identification of reliable prognostic ***,to allow optimal treatment options,a precision-medicine,personalized approach is *** widespread digitalization of healthcare generates a vast amount of data and together with accessible high-performance computing,artificial intelligence(AI)technologies can be *** increasing diagnostic accuracy,reducing timings and costs,the application of AI could help mitigate the current shortcomings in CRLM *** this review we explore the available evidence of the possible role of AI in all phases of the CRLM natural *** analysis and convolutional neural networks(CNN)which combine computed tomography(CT)images with clinical data have been developed to predict CRLM development in CRC *** models have also proven themselves to perform similarly or better than expert radiologists in detecting CRLM on CT and magnetic resonance scans or identifying them from the noninvasive analysis of patients’exhaled *** application of AI and machine learning(ML)in diagnosing CRLM has also been extended to histopathological examination in order to rapidly and accurately identify CRLM tissue and its different histopathological growth *** and CNN have shown good accuracy in predicting response to chemotherapy,early local tumor progression after ablation treatment,and patient survival after surgical treatment or *** the initial enthusiasm and the accumulating evidence,AI technologies’role i

关键词： Colorectal cancer Liver metastases Artificial intelligence Machine learning Deep learning Neural networks Radiomics

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