A Digital Tongue Diagnosis Model for High- and Low-risk Esophagogastroduodenal Varices in Cirrhosis
NCT ID: NCT05979935
Last Updated: 2025-08-15
Study Results
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Basic Information
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ACTIVE_NOT_RECRUITING
1300 participants
OBSERVATIONAL
2023-07-01
2029-12-31
Brief Summary
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The main question of this study is to esplore:
question 1: Developing a digital tongue diagnosis model, specifically a deep learning model to diagnose high-risk esophageal and gastric varices (HRV) associated with cirrhosis using sublingual vein images. Answering the question of whether the new tongue diagnosis method can accurately diagnose.
Question 2: Compare the diagnostic efficacy digital tongue diagnosis model with diagnostic models constructed using other biochemical indicators for HRV in cirrhosis, and answer the question of "how to use it optimally."
Question 3: Exploring the correlation between sublingual vein characteristics and Hepatic venous pressure gradient (HVPG).
Question 4: Compared with endoscopic examination results, validate the diagnostic performance of the model (AUC ≥ 0.90) and screen for key parameters of sublingual vein characteristics (such as sublingual vein varicosity diameter, vein length, color, etc.).
Question 5: Follow-up tongue examination images of patients with cirrhosis who underwent treatment (e.g., endoscopy, splenic embolization, TIPS, etc.) at 1, 2, and 3 years post-treatment were evaluated to assess the efficacy of digital tongue examination models in predicting high-risk esophageal and gastric variceal bleeding at 1, 2, and 3 years post-treatment, as well as the efficacy in predicting endoscopic treatment failure rates and patient mortality associated with bleeding.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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patients with high-risk of esophageal varices in liver cirrhosis
The maximum diameter of varices ≥ 5 mm or maximum diameter of varices \<5mm with positive red sign in patients with liver cirrhosis
tongue diagnosis
The tongue image of participants will be collected via camera, and tongue images will be used for AI deep model learning analysis.
patients with low-risk of esophageal varices in liver cirrhosis
the maximum diameter of esophageal varices \< 5 mm without positive red sign in patients with liver cirrhosis.
tongue diagnosis
The tongue image of participants will be collected via camera, and tongue images will be used for AI deep model learning analysis.
Interventions
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tongue diagnosis
The tongue image of participants will be collected via camera, and tongue images will be used for AI deep model learning analysis.
Eligibility Criteria
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Inclusion Criteria
2. Diagnosed with cirrhosis based on clinical presentation, laboratory tests, imaging studies, and/or histopathological examination;
3. Undergone upper gastrointestinal endoscopy within the past 3 months prior to enrollment and have complete endoscopic imaging records;
4. Undergone enhanced CT or MRI scan of the upper abdomen within the past month prior to enrollment;
5. Patients who consent to enrollment and have signed an informed consent form.
Exclusion Criteria
2. Patients with grade 2-3 ascites or overt hepatic encephalopathy;
3. Patients with a history of portal venous system thrombosis (including the portal vein, splenic vein, superior mesenteric vein, etc.) or portal venous cavernous transformation, and who have been diagnosed with thrombosis within the past two weeks;
4. Patients diagnosed with or suspected of having primary liver cancer or other advanced malignant tumors;
5. Patients with chronic obstructive pulmonary disease and right heart failure;
6. Male and female patients with moderate anemia (hemoglobin \<70 g/L);
7. Patients with poorly controlled diabetes or microvascular complications;
8. Patients with poorly controlled hypertension;
9. Patients with hematological disorders such as polycythemia vera;
10. Patients with local oral lesions affecting sublingual venous blood flow, such as Ludwig's angina, Lemierre syndrome, or complications following certain oral surgeries (e.g., scar contracture or hematoma after tongue or floor of mouth surgery);
11. Patients with sublingual venous varicosities;
12. Patients who have experienced other severe systemic infections within the past 2 weeks prior to enrollment;
13. Pregnant women and peripartum women;
14. Patients with mental disorders;
15. Patients with incomplete medical records;
16. Patients unable to cooperate in completing the clinical study;
17. Other reasons deemed unsuitable for participation by the investigator.
18 Years
75 Years
ALL
No
Sponsors
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Shanghai Changzheng Hospital
OTHER
Shanghai East Hospital of Tongji University
OTHER
Eighth Affiliated Hospital, Sun Yat-sen University
OTHER
Meng Chao Hepatobiliary Hospital of Fujian Medical University
OTHER
Tianjin Medical University General Hospital
OTHER
Army Medical Center of PLA
OTHER_GOV
Shandong Provincial Hospital
OTHER_GOV
Qianfoshan Hospital
OTHER
Shandong Public Health Clinical Center
OTHER_GOV
The 960th Hospital of the PLA Joint Logistics Support Force
UNKNOWN
Jinan Central Hospital
OTHER
Weifang People's Hospital
OTHER
Liaocheng People's Hospital
OTHER
The Second Affiliated Hospital of Shandong First Medical University
OTHER
Jining First People's Hospital
OTHER
Qilu Hospital of Shandong University
OTHER
Responsible Party
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Yanjing Gao
Professor
Principal Investigators
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Yanjing Gao, PhD MD
Role: STUDY_CHAIR
Qilu Hospital of Shandong University
Locations
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Qilu Hospital of Shdong University
Jinan, Shandong, China
Countries
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References
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Ou J, Li R, Zeng R, Wu CQ, Chen Y, Chen TW, Zhang XM, Wu L, Jiang Y, Yang JQ, Cao JM, Tang S, Tang MJ, Hu J. CT radiomic features for predicting resectability of oesophageal squamous cell carcinoma as given by feature analysis: a case control study. Cancer Imaging. 2019 Oct 16;19(1):66. doi: 10.1186/s40644-019-0254-0.
Tandon M, Singh H, Singla N, Jain P, Pandey CK. Tongue thickness in health vs cirrhosis of the liver: Prospective observational study. World J Gastrointest Pharmacol Ther. 2020 Aug 8;11(3):59-68. doi: 10.4292/wjgpt.v11.i3.59.
He C, Liao Q, Fu P, Li J, Zhao X, Zhang Q, Gui Q. Microbiological characteristics of different tongue coatings in adults. BMC Microbiol. 2022 Sep 9;22(1):214. doi: 10.1186/s12866-022-02626-7.
Lin Y, Li L, Yu D, Liu Z, Zhang S, Wang Q, Li Y, Cheng B, Qiao J, Gao Y. A novel radiomics-platelet nomogram for the prediction of gastroesophageal varices needing treatment in cirrhotic patients. Hepatol Int. 2021 Aug;15(4):995-1005. doi: 10.1007/s12072-021-10208-4. Epub 2021 Jun 11.
Gralnek IM, Camus Duboc M, Garcia-Pagan JC, Fuccio L, Karstensen JG, Hucl T, Jovanovic I, Awadie H, Hernandez-Gea V, Tantau M, Ebigbo A, Ibrahim M, Vlachogiannakos J, Burgmans MC, Rosasco R, Triantafyllou K. Endoscopic diagnosis and management of esophagogastric variceal hemorrhage: European Society of Gastrointestinal Endoscopy (ESGE) Guideline. Endoscopy. 2022 Nov;54(11):1094-1120. doi: 10.1055/a-1939-4887. Epub 2022 Sep 29.
de Franchis R, Bosch J, Garcia-Tsao G, Reiberger T, Ripoll C; Baveno VII Faculty. Baveno VII - Renewing consensus in portal hypertension. J Hepatol. 2022 Apr;76(4):959-974. doi: 10.1016/j.jhep.2021.12.022. Epub 2021 Dec 30.
Other Identifiers
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20230726-QiluH
Identifier Type: -
Identifier Source: org_study_id
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