A Digital Tongue Diagnosis Model for High- and Low-risk Esophagogastroduodenal Varices in Cirrhosis

NCT ID: NCT05979935

Last Updated: 2025-08-15

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

1300 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-07-01

Study Completion Date

2029-12-31

Brief Summary

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The aim of this observational study is to establish an AI deep learning model that can dianosie high-risk varices for patients with cirrhosis effeciently.

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.

Detailed Description

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Firstly, participants will be divided into two groups according to their degree of esophageal varices from endoscopic examination and CT report, including high-risk varices (HRV) group and low-risk varices (LRV) group. Secondly, participants will be asked to show their tongue, including the surface and sublingual veins of tongue, and the tongue images of each participants will be collected by researchers via camera. After finishing tongue image collection, participants will receive a professional tongue diagnosis report in Traditional Chinese Medicine and health suggestion. Finally, tongue images will be analyzed by AI deep learning model and some specifialized information will be estracted exactly. Besides, 60 patietns will be selected to eplore whtether sublingual vein characteristics is assoicated with HVPG. Finally, patietns will be followed up during 3 years, and gastric variceal bleeding, endoscopic treatment failure rates, and patient mortality risks related to bleeding will be analyzed.

Conditions

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Esophageal Varices Liver Cirrhosis Sublingual Varices Portal Hypertension

Study Design

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Observational Model Type

COHORT

Study Time Perspective

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

Intervention Type DIAGNOSTIC_TEST

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

Intervention Type DIAGNOSTIC_TEST

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.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

1. Age 18-75 years (including both age limits), no gender restrictions;
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

1. Patients who have previously undergone endoscopic treatment for esophageal or gastric varices, transjugular intrahepatic portosystemic shunt (TIPS), splenectomy, hepatectomy, balloon occlusion of the portal vein, or liver transplantation;
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.
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Shanghai Changzheng Hospital

OTHER

Sponsor Role collaborator

Shanghai East Hospital of Tongji University

OTHER

Sponsor Role collaborator

Eighth Affiliated Hospital, Sun Yat-sen University

OTHER

Sponsor Role collaborator

Meng Chao Hepatobiliary Hospital of Fujian Medical University

OTHER

Sponsor Role collaborator

Tianjin Medical University General Hospital

OTHER

Sponsor Role collaborator

Army Medical Center of PLA

OTHER_GOV

Sponsor Role collaborator

Shandong Provincial Hospital

OTHER_GOV

Sponsor Role collaborator

Qianfoshan Hospital

OTHER

Sponsor Role collaborator

Shandong Public Health Clinical Center

OTHER_GOV

Sponsor Role collaborator

The 960th Hospital of the PLA Joint Logistics Support Force

UNKNOWN

Sponsor Role collaborator

Jinan Central Hospital

OTHER

Sponsor Role collaborator

Weifang People's Hospital

OTHER

Sponsor Role collaborator

Liaocheng People's Hospital

OTHER

Sponsor Role collaborator

The Second Affiliated Hospital of Shandong First Medical University

OTHER

Sponsor Role collaborator

Jining First People's Hospital

OTHER

Sponsor Role collaborator

Qilu Hospital of Shandong University

OTHER

Sponsor Role lead

Responsible Party

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Yanjing Gao

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

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

Site Status

Countries

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China

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.

Reference Type RESULT
PMID: 31619297 (View on PubMed)

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.

Reference Type RESULT
PMID: 32844044 (View on PubMed)

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.

Reference Type RESULT
PMID: 36085010 (View on PubMed)

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.

Reference Type RESULT
PMID: 34115257 (View on PubMed)

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.

Reference Type RESULT
PMID: 36174643 (View on PubMed)

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.

Reference Type RESULT
PMID: 35120736 (View on PubMed)

Other Identifiers

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20230726-QiluH

Identifier Type: -

Identifier Source: org_study_id

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