Clinical trial Recruiting at 3 sites Observational

Does removing more normal liver tissue raise the risk of liver failure after liver resection?

Official title: A Model Based on Resected Normal Liver Parenchymal Volume(RNLV)to Predict the Risk of Post-Hepatectomy Liver Failure (PHLF)

Run by National Natural Science Foundation of China · NCT06366048 · Data updated 2026-11-12

This study tests whether the amount of normal liver removed (RNLV) helps predict liver failure after surgery in people with hepatocellular carcinoma or intrahepatic cholangiocarcinoma.

More Liver Failure trials

Quick facts

Study typeObservational
SexAll
Enrollment1600 (estimated)
SponsorNational Natural Science Foundation of China
Government
Locations3 sites (Fujian, Shanghai Municipality and 2 other locations)
StatusRecruiting
StartedDecember 1, 2022
Main results expectedDecember 31, 2026
Study endsDecember 31, 2026
Registry record updatedApril 14, 2026
Trial IDNCT06366048 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults with histologically confirmed hepatocellular carcinoma or intrahepatic cholangiocarcinoma who underwent selective hepatectomy and have complete, accessible preoperative and operative data.

Probably not a fit

Patients with prior ALPPS, portal vein embolization, tumor rupture, emergency surgery, concurrent major organ resections, or diagnoses other than HCC/ICC were excluded and are unlikely to benefit from this specific model.

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

What this trial studies

Investigators performed a large retrospective review of over a thousand consecutive patients with hepatocellular carcinoma or intrahepatic cholangiocarcinoma who underwent selective hepatectomy at multiple Chinese centers. They calculated resected normal liver parenchymal volume (RNLV) from imaging and operative data and recorded post-hepatectomy liver failure (PHLF) according to 50-50 and ISGLS criteria. The team planned to build a predictive model combining RNLV with clinical variables and compare its performance to future liver remnant (FLR) metrics, with special attention to patients with large or multiple tumors. The goal was to see whether RNLV can be an informative variable for preoperative risk stratification and surgical safety planning.

Why it matters

Potential benefit: If successful, the model could help surgeons better predict and reduce the risk of post-hepatectomy liver failure and guide safer surgical planning.

How similar studies have gone: Other research supports the use of future liver remnant to predict PHLF, but using resected normal parenchymal volume (RNLV) as a predictive variable is relatively novel and less established.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion criteria:

* selective hepatectomies;
* histologically confirmed as HCC and ICC
* complete and accessible data

Exclusion criteria:

* any history of Associated Liver Partition and Portal vein ligation for Staged hepatectomy (ALPPS)
* any history of portal vein embolism (PVE)
* any history of tumor rupture
* emergency surgery
* pathologically diagnosed with neither HCC nor ICC
* concomitant resection of gastrointestinal organs, spleenectomy or other organs

Where it's running

  • Mengchao Hepatobiliary Hospital of Fujian Medical University
    Fujian, Shanghai Municipality, China
    Recruiting
  • The Third Affiliated Hospital of Naval Medical University
    Shanhai, Shanghai Municipality, China
    Recruiting
  • Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen, Mengchao Hepatobiliary Hospital of Fujian Medical University
    Shenzhencun, Shanghai Municipality, China
    Recruiting

Study contacts

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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.
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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.