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Yu Q, Huang Y, Li X, Pavlides M, Liu D, Luo H, Ding H, An W, Liu F, Zuo C, Lu C, Tang T, Wang Y, Huang S, Liu C, Zheng T, Kang N, Liu C, Wang J, Akçalar S, Çelebioğlu E, Üstüner E, Bilgiç S, Fang Q, Fu CC, Zhang R, Wang C, Wei J, Tian J, Örmeci N, Ellik Z, Asiller ÖÖ, Ju S, Qi X. An imaging-based artificial intelligence model for non-invasive grading of hepatic venous pressure gradient in cirrhotic portal hypertension. Cell Rep Med 2022; 3:100563. [PMID: 35492878 PMCID: PMC9040173 DOI: 10.1016/j.xcrm.2022.100563] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 12/19/2021] [Accepted: 02/17/2022] [Indexed: 12/15/2022]
Abstract
The hepatic venous pressure gradient (HVPG) is the gold standard for cirrhotic portal hypertension (PHT), but it is invasive and specialized. Alternative non-invasive techniques are needed to assess the hepatic venous pressure gradient (HVPG). Here, we develop an auto-machine-learning CT radiomics HVPG quantitative model (aHVPG), and then we validate the model in internal and external test datasets by the area under the receiver operating characteristic curves (AUCs) for HVPG stages (≥10, ≥12, ≥16, and ≥20 mm Hg) and compare the model with imaging- and serum-based tools. The final aHVPG model achieves AUCs over 0.80 and outperforms other non-invasive tools for assessing HVPG. The model shows performance improvement in identifying the severity of PHT, which may help non-invasive HVPG primary prophylaxis when transjugular HVPG measurements are not available. aHVPG is an automated HVPG quantitative estimation model based on CT aHVPG has the potential to assess HVPG and outperforms other non-invasive tools Non-invasive tools may help PHT monitoring when invasive HVPG is not available
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Affiliation(s)
- Qian Yu
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yifei Huang
- CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China
| | - Xiaoguo Li
- CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China
| | - Michael Pavlides
- Radcliffe Department of Medicine, Oxford Centre for Magnetic Resonance Research, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Dengxiang Liu
- CHESS Working Party, Xingtai People's Hospital, Xingtai, China
| | - Hongwu Luo
- Department of General Surgery, Third Xiangya Hospital of Central South University, Changsha, China
| | - Huiguo Ding
- Department of Gastroenterology and Hepatology, Beijing You'an Hospital, Capital Medical University, Beijing, China
| | - Weimin An
- Department of Radiology, Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Fuquan Liu
- Department of Interventional Therapy, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Changzeng Zuo
- CHESS Working Party, Xingtai People's Hospital, Xingtai, China
| | - Chunqiang Lu
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Tianyu Tang
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yuancheng Wang
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Shan Huang
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Chuan Liu
- CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China
| | - Tianlei Zheng
- CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China
| | - Ning Kang
- CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China
| | - Changchun Liu
- Department of Radiology, Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Jitao Wang
- CHESS Working Party, Xingtai People's Hospital, Xingtai, China
| | - Seray Akçalar
- Department of Radiology, Ankara University School of Medicine, Ankara, Turkey
| | - Emrecan Çelebioğlu
- Department of Radiology, Ankara University School of Medicine, Ankara, Turkey
| | - Evren Üstüner
- Department of Radiology, Ankara University School of Medicine, Ankara, Turkey
| | - Sadık Bilgiç
- Department of Radiology, Ankara University School of Medicine, Ankara, Turkey
| | - Qu Fang
- Shanghai Aitrox Technology Corporation, Shanghai, China
| | - Chi-Cheng Fu
- Shanghai Aitrox Technology Corporation, Shanghai, China
| | - Ruiping Zhang
- Department of Radiology, Shanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi, China
| | - Chengyan Wang
- Human Phenome Institute, Fudan University, Shanghai, China
| | - Jingwei Wei
- Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Key Laboratory of Molecular Imaging, Beijing, China
| | - Jie Tian
- Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Key Laboratory of Molecular Imaging, Beijing, China
| | - Necati Örmeci
- Department of Gastroenterology, Ankara University School of Medicine, Ankara, Turkey
| | - Zeynep Ellik
- Department of Gastroenterology, Ankara University School of Medicine, Ankara, Turkey
| | - Özgün Ömer Asiller
- Department of Gastroenterology, Ankara University School of Medicine, Ankara, Turkey
| | - Shenghong Ju
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Xiaolong Qi
- CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China
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