ClinicalTrials.gg
Not yet recruitingNCT05068492Updated Apr 25, 2023

A Novel Imaging Based Quantitative Model-aided Detection of Portal Hypertension in Patients With Cirrhosis (CHESS2104)

An observational study in Portal Hypertension, sponsored by Hepatopancreatobiliary Surgery Institute of Gansu Province. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2023-04-25.

Sponsored by Hepatopancreatobiliary Surgery Institute of Gansu Province · Observational

From the registry’s dates

  • Primary completion was expected by Dec 2025, 11 months ago, but the record still lists the study as not yet recruiting.
Study type
Observational
Model
Cohort
Time perspective
Cross-sectional
Enrollment
2,000
Ages
18 Years and older
Sex
All
01

Study summary

How to construct a novel, non-invasive, accurate, and convenient method to achieve prediction of hepatic venous pressure gradient (HVPG) is an important general problem in the management of portal hypertension in cirrhosis. We plan to investigate the ability of AI analysis of Ultrasound, computed tomography (CT) or magnetic resonance (MR) to establish a risk stratification system and perform tailored management for portal hypertension in cirrhosis.

Read the detailed description

China suffers the heaviest burden of liver disease in the world. The number of chronic liver disease is more than 400 million. Either viral-related hepatitis, alcoholic hepatitis, or metabolic-related fatty hepatitis, etc. may progress to cirrhosis, which greatly threatens public health. Portal hypertension is a critical risk factor that correlates with clinical prognosis of patients with cirrhosis. According to the Consensus on clinical application of hepatic venous pressure gradient in China (2018), hepatic venous pressure gradient (HVPG) greater than 10,12,16,20 mmHg correspondingly predicts different outcomes of patients with cirrhosis portal hypertension. It is of great significance to establish a risk stratification system and perform tailored management for portal hypertension in cirrhosis. As a universal gold standard for diagnosing and monitoring portal hypertension, HVPG remains limitation for clinical application due to its invasiveness. How to construct a novel, non-invasive, accurate, and convenient method to achieve prediction of HVPG is an important general problem in the management of portal hypertension in cirrhosis.

The development of radiomics technique provides an approach to solve abovementioned clinical issues. Based on artificial intelligence algorithms, radiomics harnesses mineable, high-resolution, and quantitative features from encrypted medical images, along with clinical or genetic data to produce evidence-based decision support system, to achieve the clinical targets including diagnosis, treatment effect evaluation, and prognosis prediction. In this project, aiming at development of a risk stratification system for hypertension management in cirrhosis, we will construct a standard-of-care database and utilize radiomics tool to construct the decision making system. We will take responsibility for achievement of organ and vessel segmentation, radiomic feature selection, and signature construction for prediction of hypertension classification, and accomplish the development of prototype system which would integrate four modules including database management, HVPG risk stratification application module, predicted outcome presentation module, and prognostic information curation module. This project will focus on two aspects which are correspondingly machine learning algorithms optimization and prototype system development, so as to promote the precision medicine in liver disease.

02

Conditions studied

  • Portal Hypertension

Keywords

  • Cirrhosis
  • Portal hypertension
  • Artificial intelligence
  • CT
  • MRI
  • Ultrasound
03

In context

Hypertension, Portal

375 studies on the registry are indexed under Hypertension, Portal; 114 are open to participants now.

This study's planned enrollment of 2,000 is above the median of 150 across 135 observational studies indexed under Hypertension, Portal.

Browse Hypertension, Portal studies →

Lead sponsor

Hepatopancreatobiliary Surgery Institute of Gansu Province is the lead sponsor of 44 studies on the registry; 8 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Organize paticipating units to collect standard-of-care data including radiological and clinical data. Patients diagnosed with cirrhosis who received HVPG measurement and enhanced abdominal ultrasound/CT/MRI scan should be enrolled.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. age > 18 years old;
  2. confirmed cirrhosis (laboratory, imaging and clinical symptoms);
  3. with ultrasound/CT/MRI within 1 month prior to HVPG measurement;
  4. written .

Exclusion criteria

Exclusion Criteria:

  1. any previous liver or spleen surgery;
  2. liver cancer; chronic acute liver failure;
  3. acute portal hypertension;
  4. unreliable HVPG or ultrasound/CT/MRI results due to technical reasons.
  5. with liver interventional therapy between HVPG and ultrasound/CT/MRI
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Cohort
Time perspective
Cross-sectional
Enrollment
2,000 participants (estimated)
Patient registry
No

Groups and cohorts

  • Training cohort

    Training cohort was set to develop the novel non-invasive model for virtual HVPG

    Diagnostic Test: CT · Diagnostic Test: MRI · Diagnostic Test: HVPG · Diagnostic Test: Ultrasound

  • Validation cohort

    Validation cohort was set to validate the novel non-invasive model for virtual HVPG in different people in same environments

    Diagnostic Test: CT · Diagnostic Test: MRI · Diagnostic Test: HVPG · Diagnostic Test: Ultrasound

  • Test cohort

    Test cohort was set to test the novel non-invasive model for virtual HVPG in different environments

    Diagnostic Test: CT · Diagnostic Test: MRI · Diagnostic Test: HVPG · Diagnostic Test: Ultrasound

Interventions

  • Diagnostic testCT

    enhanced CT with standard procedure

  • Diagnostic testMRI

    enhanced MRI with standard procedure

  • Diagnostic testHVPG

    HVPG measurements are performed by well-trained interventional radiologists in accordance with standard operating procedures

  • Diagnostic testUltrasound

    Digestive ultrasound with standard procedure

06

What researchers measure

Primary outcomes

  1. Diagnostic value

    Accuracy of the novel model for virtual HVPG

    Time frame: 24 months

07

Study locations

No study locations are listed for this record.

08

References and documents

Publications

  • Liu Y, Ning Z, Ormeci N, An W, Yu Q, Han K, Huang Y, Liu D, Liu F, Li Z, Ding H, Luo H, Zuo C, Liu C, Wang J, Zhang C, Ji J, Wang W, Wang Z, Wang W, Yuan M, Li L, Zhao Z, Wang G, Li M, Liu Q, Lei J, Liu C, Tang T, Akcalar S, Celebioglu E, Ustuner E, Bilgic S, Ellik Z, Asiller OO, Liu Z, Teng G, Chen Y, Hou J, Li X, He X, Dong J, Tian J, Liang P, Ju S, Zhang Y, Qi X. Deep Convolutional Neural Network-Aided Detection of Portal Hypertension in Patients With Cirrhosis. Clin Gastroenterol Hepatol. 2020 Dec;18(13):2998-3007.e5. doi: 10.1016/j.cgh.2020.03.034. Epub 2020 Mar 21. PubMed 32205218 ↗
  • Liu F, Ning Z, Liu Y, Liu D, Tian J, Luo H, An W, Huang Y, Zou J, Liu C, Liu C, Wang L, Liu Z, Qi R, Zuo C, Zhang Q, Wang J, Zhao D, Duan Y, Peng B, Qi X, Zhang Y, Yang Y, Hou J, Dong J, Li Z, Ding H, Zhang Y, Qi X. Development and validation of a radiomics signature for clinically significant portal hypertension in cirrhosis (CHESS1701): a prospective multicenter study. EBioMedicine. 2018 Oct;36:151-158. doi: 10.1016/j.ebiom.2018.09.023. Epub 2018 Sep 27. PubMed 30268833 ↗

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Start is estimated for Dec 2023; primary completion for Dec 2025, 23 months later.

How these figures are worked out, and which studies are left out of them.

Registered
Sep 27, 2021
First posted
Oct 5, 2021
StartEst.
Dec 10, 2023
Primary completionEst.
Dec 1, 2025
CompletionEst.
Dec 1, 2025
Last update
Apr 25, 2023
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 25, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05068492
Lead sponsor
Hepatopancreatobiliary Surgery Institute of Gansu Province
Collaborators
Portal Hypertension Alliance in China
Responsible party
Xiaolong Qi (Chief, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Hepatopancreatobiliary Surgery Institute of Gansu Province) — Principal investigator
First posted
Oct 5, 2021
Start date
Dec 10, 2023 (estimated)
Primary completion
Dec 1, 2025 (estimated)
Completion
Dec 1, 2025 (estimated)
Last update
Apr 25, 2023

Study contacts

Yifei Huang
Contact
huangyf1995@foxmail.com
15800004518
Xiaolong Qi, Prof.
principal investigator · CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou, China

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Apr 2023. You cannot join it, but the record below documents what was studied.

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