Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment
Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment
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DOI：
10.1148/radiol.2019190512
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发表时间：
2019-11-01
期刊：
影响因子：
19.7
通讯作者：
Pickhardt, Perry J.
中科院分区：
文献类型：
--
作者：
Graffy, Peter M.;Sandfort, Veit;Pickhardt, Perry J.
背景资料：非酒精性脂肪性肝病及其后果是一个日益增长的公共卫生问题，需要横断面成像进行无创诊断和肝脏脂肪定量。目的：研究一种基于深度学习的自动肝脏脂肪定量工具，在非增强CT上确定大型筛查队列中脂肪变性的患病率。材料和方法：在这项回顾性研究中，通过使用三维卷积神经网络，将全自动肝脏分割算法应用于连续无症状成人的非对比腹部CT检查，包括随访扫描的子队列。分析了自动化的基于体积的肝脏衰减，包括转换为CT脂肪分数，并在一个大的扫描子集中与手动测量进行了比较。（平均年龄+/-标准差，57.2岁+/- 7.9岁; 5314名女性和4238名男性;中位体重指数[BMI]，27.8 kg/m2），包括1862名成人（平均年龄59.2岁; 971名女性和891名男性;平均间隔5.5年）的2117次随访扫描。在7次扫描中出现算法故障。平均CT肝脏衰减为55 HU +/- 10，对应于CT脂肪分数为6.4%（男性比女性略胖[7.4% +/- 6.0 vs 5.8% +/- 5.7%; P < .001]）。平均肝脏亨斯菲尔德单位随年龄变化不大（
Background: Nonalcoholic fatty liver disease and its consequences are a growing public health concern requiring cross-sectional imaging for noninvasive diagnosis and quantification of liver fat.Purpose: To investigate a deep learning-based automated liver fat quantification tool at nonenhanced CT for establishing the prevalence of steatosis in a large screening cohort.Materials and Methods: In this retrospective study, a fully automated liver segmentation algorithm was applied to noncontrast abdominal CT examinations from consecutive asymptomatic adults by using three-dimensional convolutional neural networks, including a subcohort with follow-up scans. Automated volume-based liver attenuation was analyzed, including conversion to CT fat fraction, and compared with manual measurement in a large subset of scans.Results: A total of 11 669 CT scans in 9552 adults (mean age +/- standard deviation, 57.2 years +/- 7.9; 5314 women and 4238 men; median body mass index [BMI], 27.8 kg/m(2)) were evaluated, including 2117 follow-up scans in 1862 adults (mean age, 59.2 years; 971 women and 891 men; mean interval, 5.5 years). Algorithm failure occurred in seven scans. Mean CT liver attenuation was 55 HU +/- 10, corresponding to CT fat fraction of 6.4% (slightly fattier in men than in women [7.4% +/- 6.0 vs 5.8% +/- 5.7%; P < .001]). Mean liver Hounsfield unit varied little by age (