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作 者:Valeria Tonini Gabriele Vigutto Riccardo Donati
机构地区:[1]Department of Medical and Surgical Sciences,Sant'Orsola Hospital University of Bologna,Bologna 40138,Italyl [2]Department of Medical and Surgical Sciences,St Orsola Hospital,University of Bologna,Bologna 40138,Italy [3]Department of Electrical,Electronic and Information Engineering“Guglielmo Marconi”(DEI),University of Bologna,Bologna 40138,Italy
出 处:《Artificial Intelligence in Gastroenterology》2022年第2期28-35,共8页胃肠病学中的人工智能(英文)
摘 要:Colorectal cancer is one of the most common neoplasia with an high risk to metastatic spread.Improving medical and surgical treatment is moving along with improving the precision of diagnosis and patient's assessment,the latter two aided more and more with the use of artificial intelligence(AI).The management of colorectal liver metastasis is multidisciplinary,and surgery is the main option.After the diagnosis,a surgical assessment of the patient is fundamental.Reaching a R0 resection with a proper remnant liver volume can be done using new techniques involving also artificial intelligence.Considering the recent application of artificial intelligence as a valid substitute for liver biopsy in chronic liver diseases,several authors tried to apply similar techniques to pre-operative imaging of liver metastasis.Radiomics showed good results in identifying structural changes in a unhealthy liver and in evaluating the prognosis after a liver resection.Recently deep learning has been successfully applied in estimating the remnant liver volume before surgery.Moreover AI techniques can help surgeons to perform an early diagnosis of neoplastic relapse or a better differentiation between a colorectal metastasis and a benign lesion.AI could be applied also in the histopathological diagnostic tool.Although AI implementation is still partially automatized,it appears faster and more precise than the usual diagnostic tools and,in the short future,could become the new gold standard in liver surgery.
关 键 词:Colo-rectal cancer Liver metastasis Artificial intelligence Radiomics Deep learning
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