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Radiobioinformatics:A novel bridge between basic research and clinical practice for clinical decision support in diffuse liver diseases
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作者 pinggui lei Na Hu +6 位作者 Yuhui Wu Maowen Tang Chong Lin Luoyi Kong Lingfeng Zhang Peng Luo Lawrence Wing-Chi Chan 《iRADIOLOGY》 2023年第2期167-189,共23页
The liver is a multifaceted organ that is responsible for many critical functions encompassing amino acid,carbohydrate,and lipid metabolism,all of which make a healthy liver essential for the human body.Contemporary i... The liver is a multifaceted organ that is responsible for many critical functions encompassing amino acid,carbohydrate,and lipid metabolism,all of which make a healthy liver essential for the human body.Contemporary imaging methodologies have remarkable diagnostic accuracy in discerning focal liver lesions;however,a comprehensive understanding of diffuse liver diseases is a requisite for radiologists to accurately diagnose or predict the progression of such lesions within clinical contexts.Nonetheless,the conventional attributes of radiological features,including morphology,size,margin,density,signal intensity,and echoes,limit their clinical utility.Radiomics is a widely used approach that is characterized by the extraction of copious image features from radiographic depictions,which gives it considerable potential in addressing this limitation.It is worth noting that functional or molecular alterations occur significantly prior to the morphological shifts discernible by imaging modalities.Consequently,the explication of potential mechanisms by multiomics analyses(encompassing genomics,epigenomics,transcriptomics,proteomics,and metabolomics)is essential for investigating putative signal pathway regulations from a radiological viewpoint.In this review,we elaborate on the principal pathological categorizations of diffuse liver diseases,the evaluation of multiomics approaches pertaining to diffuse liver diseases,and the prospective value of predictive models.Accordingly,the overarching objective of this review is to scrutinize the interrelations between radiological features and bioinformatics as well as to consider the development of prediction models predicated on radiobioinformatics as integral components of clinical decision support systems for diffuse liver diseases. 展开更多
关键词 artificial intelligence basic research clinical decision support diffuse liver disease radiobioinformatics
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Imaging of pregnancy-related liver diseases
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作者 Zongxue Li Ze Zhang +4 位作者 Jing Yu Xia Du pinggui lei Zhibing Ruan Bo Gao 《iLIVER》 2023年第1期56-66,共11页
Pregnancy-related liver diseases are the most frequent cause of liver dysfunction in pregnancy and pose a real threat to fetal and maternal survival.Although hepatobiliary disorders are uncommon in pregnancy,they may ... Pregnancy-related liver diseases are the most frequent cause of liver dysfunction in pregnancy and pose a real threat to fetal and maternal survival.Although hepatobiliary disorders are uncommon in pregnancy,they may be severe enough to cause risk to both the mother and fetus.There are five different types of liver disease that are unique to pregnancy,including hyperemesis gravidarum,intrahepatic cholestasis of pregnancy,preeclampsia,hemolysis,elevated liver enzyme,and low platelet count syndrome,and acute fatty liver of pregnancy.Ultrasound,computed tomography,and magnetic resonance imaging play important roles in the rapid diagnosis and evaluation of complications.An accurate diagnosis can guide further treatment or the induction of labor to prevent intrauterine fetal death.This review highlights the pathogenesis,clinical features,imaging features,and treatment of pregnancy-related liver diseases with the aim of enhancing awareness of these rare but potentially life-threatening diseases of pregnancy. 展开更多
关键词 Liver diseases PREECLAMPSIA HELLP syndrome Acute fatty liver of pregnancy
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