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Role of advanced imaging techniques in the evaluation of oncological therapies in patients with colorectal liver metastases

作     者:Martina Caruso Arnaldo Stanzione Anna Prinster Laura Micol Pizzuti Arturo Brunetti Simone Maurea Pier Paolo Mainenti 

作者机构:Department of Advanced Biomedical SciencesUniversity of Naples"Federico II"Napoli 80131Italy Institute of Biostructures and BioimagingNational Research CouncilNapoli 80131Italy 

出 版 物:《World Journal of Gastroenterology》 (世界胃肠病学杂志(英文版))

年 卷 期:2023年第29卷第3期

页      面:521-535页

核心收录:

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主  题:Colorectal cancer metastases Prediction response Computed tomography Magnetic resonance imaging Positron emission tomography Parametric imaging 

摘      要:In patients with colorectal liver metastasis(CRLMs)unsuitable for surgery,oncological treatments,such as chemotherapy and targeted agents,can be ***-sectional imaging[computed tomography(CT),magnetic resonance imaging(MRI),18-fluorodexoyglucose positron emission tomography with CT/MRI]evaluates the response of CRLMs to therapy,using post-treatment lesion shrinkage as a qualitative imaging *** point is critical because the risk of toxicity induced by oncological treatments is not always balanced by an effective response to ***,there is a pressing need to define biomarkers that can predict treatment responses and estimate the likelihood of drug resistance in individual *** quantitative imaging(diffusionweighted imaging,perfusion imaging,molecular imaging)allows the in vivo evaluation of specific biological tissue features described as quantitative ***,radiomics can represent large amounts of numerical and statistical information buried inside cross-sectional images as quantitative *** a result,parametric analysis(PA)translates the numerical data contained in the voxels of each image into quantitative parameters representative of peculiar neoplastic features such as perfusion,structural heterogeneity,cellularity,oxygenation,and glucose *** could be a potentially useful imaging marker for predicting CRLMs treatment *** review describes the role of PA applied to cross-sectional imaging in predicting the response to oncological therapies in patients with CRLMs.

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