Wang Chengyan, Huang Yifei, Liu Changchun, Liu Fuquan, Hu Xumei, Kuang Xutong, An Weimin, Liu Chuan, Liu Yanna, Liu Shanghao, He Ruiling, Wang He, Qi Xiaolong
From the Human Phenome Institute (C.W., X.H., X.K., H.W.) and Institute of Science and Technology for Brain-inspired Intelligence (H.W.), Fudan University, Shanghai, China; Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou, China (Y.H., S.L., R.H.); Center of Portal Hypertension, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China (Y.H., Chuan Liu, X.Q.); Department of Radiology, Fifth Medical Center of Chinese People’s Liberation Army General Hospital, Beijing, China (Changchun Liu, W.A.); Department of Interventional Therapy, Beijing Shijitan Hospital, Beijing, China (F.L.); and Department of Gastroenterology and Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China (Y.L.).
Radiology. 2023 Apr;307(2):e221648. doi: 10.1148/radiol.221648. Epub 2023 Jan 31.
Background Currently, the hepatic venous pressure gradient (HVPG) remains the reference standard for diagnosis of clinically significant portal hypertension (CSPH) but is limited by its invasiveness and availability. Purpose To investigate a vascular geometric model for noninvasive diagnosis of CSPH (HVPG ≥10 mm Hg) in patients with liver cirrhosis for both contrast-enhanced CT and MRI. Materials and Methods In this retrospective study, consecutive patients with liver cirrhosis who underwent HVPG measurement from August 2016 to April 2019 were included. Patients without hepatic diseases were included and marked as non-CSPH to balance the ratio of CSPH 1:1. A variety of vascular parameters were extracted from the portal vein, hepatic vein, aorta, and inferior vena cava and then entered into a vascular geometric model for identification of CSPH. Diagnostic performance was assessed with the area under the receiver operating characteristic curve (AUC). Results The model was developed and tested with retrospective data from 250 patients with liver cirrhosis and 273 patients without clinical evidence of hepatic disease at contrast-enhanced CT examination, including 213 patients with CSPH (mean age, 49 years ± 12 [SD]; 138 women) and 310 patients without CSPH (mean age, 50 years ± 9; 177 women). For external validation, an MRI data set with 224 patients with cirrhosis (mean age, 49 years ± 10; 158 women) and a CT data set with 106 patients with cirrhosis (mean age, 53 years ± 12; 71 women) were analyzed. Significant reductions in mean whole-vessel volumes were observed in the portal vein (ranging from 36.9 cm ± 16.0 to 29.6 cm ± 11.1; < .05) and hepatic vein (ranging from 35.3 cm ± 21.5 to 22.4 cm ± 15.7; < .05) when CSPH occurred. Similarly, the mean whole-vessel lengths were shorter in patients with CSPH (portal vein: 1.7 m ± 1.2 vs 3.0 m ± 2.4, < .05; hepatic vein: 0.9 m ± 1.5 vs 1.8 m ± 1.5, < .05) than in those without CSPH. The proposed vascular model performed well in the internal test set (mean AUC, 0.90 ± 0.02) and external test sets (mean AUCs, 0.84 ± 0.12 and 0.87 ± 0.11). Conclusion A contrast-enhanced CT- and MRI-based vascular model was proposed with good diagnostic consistency for hepatic venous pressure gradient measurement. ClinicalTrials.gov registration nos. NCT03138915 and NCT03766880 © RSNA, 2023 See also the editorial by Roldán-Alzate and Reeder in this issue.
目前,肝静脉压力梯度(HVPG)仍是诊断临床显著性门静脉高压(CSPH)的参考标准,但受其侵入性和可及性限制。目的:研究一种用于通过对比增强CT和MRI对肝硬化患者的CSPH(HVPG≥10 mmHg)进行无创诊断的血管几何模型。材料与方法:本回顾性研究纳入了2016年8月至2019年4月期间接受HVPG测量的连续性肝硬化患者。纳入无肝脏疾病的患者并标记为非CSPH,以平衡CSPH的比例为1:1。从门静脉、肝静脉、主动脉和下腔静脉提取各种血管参数,然后将其输入血管几何模型以识别CSPH。使用受试者操作特征曲线(AUC)下的面积评估诊断性能。结果:该模型使用来自250例肝硬化患者和273例在对比增强CT检查中无肝脏疾病临床证据患者的回顾性数据进行开发和测试,其中包括213例CSPH患者(平均年龄49岁±12[标准差];138例女性)和310例非CSPH患者(平均年龄50岁±9;177例女性)。为进行外部验证,分析了一个包含224例肝硬化患者(平均年龄49岁±10;158例女性)的MRI数据集和一个包含106例肝硬化患者(平均年龄53岁±12;71例女性)的CT数据集。当发生CSPH时,观察到门静脉(范围从36.9 cm±16.0至29.6 cm±11.1;P<0.05)和肝静脉(范围从35.3 cm±21.5至22.4 cm±15.7;P<0.05)的平均全血管体积显著减小。同样,CSPH患者的平均全血管长度比非CSPH患者短(门静脉:1.7 m±1.2对3.0 m±2.4,P<0.05;肝静脉:0.9 m±1.5对1.8 m±1.5,P<0.05)。所提出的血管模型在内部测试集(平均AUC,0.90±0.02)和外部测试集(平均AUC,0.84±0.12和0.87±0.11)中表现良好。结论:提出了一种基于对比增强CT和MRI的血管模型,用于肝静脉压力梯度测量具有良好的诊断一致性。ClinicalTrials.gov注册号:NCT03138915和NCT03766880 © RSNA,2023 另见本期Roldán-Alzate和Reeder的社论。