Novel Quantitative Magnetic Resonance Imaging Features with Liver Function Tests to Distinguish Parenchymal and Biliary Disease

被引：1

作者：

Arndtz, Katherine ^{[3
,4
,5
]}

Irving, Benjamin ^{[1
]}

Eddowes, Peter ^{[3
,4
,5
]}

Green, Dan ^{[1
]}

Kelly, Matt ^{[1
]}

Jayaratne, Naomi ^{[1
]}

Banerjee, Rajarshi ^{[1
]}

Brady, Sir Michael ^{[1
,2
]}

Hirschfield, Gideon M. ^{[3
,4
,5
]}

机构：

[1] Perspectum Diagnost, Oxford, England

[2] Univ Oxford, Dept Oncol, Oxford, England

[3] Natl Inst Hlth Res NIHR, Birmingham Biomed Res Ctr, Birmingham, W Midlands, England

[4] Univ Birmingham, Inst Immunol & Immunotherapy, Birmingham, W Midlands, England

[5] Univ Hosp Birmingham NHS Fdn Trust, Ctr Rare Dis, Inst Translat Med, Queen Elizabeth Hosp Birmingham,Birmingham Hlth P, Birmingham, W Midlands, England

来源：

MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2018 | 2018年 / 894卷

关键词：

D O I：

10.1007/978-3-319-95921-4_4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Liver disease affects millions of people worldwide and autoimmune disease in particular has unmet needs for improvement of noninvasive methods for risk-stratification. Especially in cases where clinical markers are inconclusive. In this study we develop novel imaging features for quantitative MRI and show that these features improve the differentiation of AIH from biliary disease in challenging cases, where including imaging features with clinical markers improved the AUROC from 0.76 to 0.85.

引用

页码：37 / 43

页数：7

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