Clinical trial Recruiting at 3 sites Observational Ages 18 and up

Predicting liver failure after major liver surgery using CT measurements and vascular shape changes

Official title: Beyond Size - Integrating CT Volumetry With Hepatic Vascular Deformation Mapping to Anticipate Post-Resection Congestion and Liver Failure

Run by Minia University · NCT07727759 · Data updated 2026-11-12

Doctors are testing whether adding vascular deformation mapping to CT measurements can better predict liver failure after removing a large portion of the liver.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment1070 (estimated)
SponsorMinia University
Academic / other
Locations3 sites (Minya, Minya Governorate and 2 other locations)
StatusRecruiting
StartedAugust 15, 2026
Main results expectedApril 30, 2028
Study endsJuly 31, 2028
Registry record updatedAugust 18, 2026
Trial IDNCT07727759 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults 18 years and older scheduled for major hepatic resection at participating centers with quality preoperative CT available.

Probably not a fit

Patients with small or technically straightforward resections or imaging not suitable for analysis may not gain predictive benefit.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This multicenter, observational study examines adults planned for major hepatectomy (removal of three or more liver segments). It adds hepatic vascular deformation mapping to standard CT volumetry to see if it improves prediction of post-hepatectomy liver failure. The goal is to identify patients at higher risk so surgeons can tailor plans or provide additional care. The study uses preoperative imaging and follows patients for at least 30 days after surgery. It is sponsored by Minia University with collaboration from regional institutions.

Why it matters

Potential benefit: If successful, the approach could lead to more accurate risk stratification and safer surgical decision-making for patients needing major liver resection.

How similar studies have gone: Previous work suggests that vascular factors can influence outcomes after liver resection, but this combination with VDM and CT volumetry remains exploratory.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Age 18 years or older
* Scheduled to undergo major hepatic resection, defined as the removal of three or more Couinaud segments, at a participating center
* Availability of a preoperative multiphasic contrast-enhanced CT of the liver of quality sufficient for central core-laboratory analysis
* Willing and able to complete postoperative clinical and laboratory follow-up for at least 30 days
* Written informed consent

Exclusion Criteria:

* Minor hepatic resection (fewer than three Couinaud segments)
* Significant pre-existing vascular anomaly or vascular pathology (for example, portal vein thrombosis)
* Emergency hepatic resection for trauma
* Preoperative imaging that fails central quality control
* Incomplete follow-up data

Where it's running

  • Liver and GIT Hospital, Faculty of Medicine, Minia University
    Minya, Minya Governorate, Egypt
    Recruiting
  • Maadi Armed Forces Medical Compound - Department of Liver and Pancreas Surgery and Liver Transplantation
    Maadi, Egypt
    Recruiting
  • National Liver Institute, Menoufia University
    Shibīn al Kawm, Egypt
    Recruiting

Study contacts

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.