Prediction of Complications in Hepatic Tumors

January 13, 2026 updated by: Hans-Christian Pommergaard, Rigshospitalet, Denmark

Prediction of Complications in Patients Undergoing Surgical Treatment of Hepatic Tumors

Liver failure is one of the most severe complications in patients undergoing liver surgery for hepatic malignancies. However, it can be predicted through preoperative assessment of liver function. Technetium-99m galactosyl human serum albumin ([99mTc] Tc-GSA), combined with single-photon emission computed tomography fused with computed tomography ([99mTc] Tc-GSA SPECT/CT), is widely used in Asia due to its superiority in predicting postoperative liver failure. Unfortunately, its clinical use in Western countries remains limited due to concerns about disease transmission.

In 2022, the Department of Clinical Physiology and Nuclear Medicine at Rigshospitalet optimized the in-house production of [99mTc] Tc-GSA under European regulations, and in April 2025, received approval from the Danish Medicines Agency for its clinical use. This study aims to evaluate, for the first time, the diagnostic accuracy of [99mTc] Tc-GSA SPECT/CT in quantifying liver function in European patients with hepatic tumors.

Hypothesis: [99mTc] Tc-GSA SPECT/CT is capable of and superior to indocyanine green clearance test (ICG), Child-Pug score, Model for End-Stage Liver Disease (MELD) score, and ultrasound elastography in quantifying liver function and predicting surgical outcomes in a Danish cohort of patients with liver tumors. Perceived quality of life may be associated with postoperative complications. However, postoperative complications and survival can be more accurately predicted when quality of life is assessed in combination with preoperative liver function and clinical conditions.

Objectives

Primary objectives:

  1. To evaluate the correlation between [99mTc] Tc-GSA SPECT/CT and established liver function assessments, including ICG clearance, Child-Pugh score, MELD score, and ultrasound elastography.
  2. To compare the discriminative ability of [99mTc] Tc-GSA SPECT/CT with existing liver function tests in predicting postoperative complications.

    Secondary objectives:

  3. To assess the correlation of [99mTc] Tc-GSA SPECT/CT, ICG clearance, Child-Pugh score, MELD score, and ultrasound elastography with postoperative outcomes.
  4. To develop and internally validate a multivariable predictive model combining the best predictive liver function test with preoperative clinical characteristics to predict postoperative complications.

Study Overview

Status

Not yet recruiting

Conditions

Study Type

Interventional

Enrollment (Estimated)

192

Phase

  • Phase 4

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

Adults over 18 years who have the capacity to act, with a confirmed or suspected diagnosis of one or more hepatic tumors and a planned local treatment proposed by a multidisciplinary team of specialists, specifically those:

  1. Patients undergoing major liver resection (FLR < 40%).
  2. Patients undergoing minor resections or open/laparoscopic ablations with a risk of impaired liver function, defined by at least one of the following:

    • Histological diagnosis of liver cirrhosis or fibrosis (Meta-analysis of Histological Data in Viral Hepatitis scoring system [METAVIR] score 1 to 4).
    • Radiological signs of cirrhosis.
    • Preoperative chemotherapy.
    • Known liver disease associated with cirrhosis: metabolic dysfunction-associated steatohepatitis, chronic infection with hepatitis B or C, primary sclerosing cholangitis, primary biliary cholangitis, and autoimmune hepatitis.

Exclusion Criteria:

  • History of hypersensitivity to Technetium-99m or albumin
  • Diagnosis of pulmonary hypertension,
  • Pregnant or breastfeeding individuals. For fertile women, non-pregnancy must be confirmed by a negative pregnancy test. No contraception methods are required after the study due to the short radioactive half-life of the IMP.
  • Patients under 18 years old or unable to make autonomous care decisions.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: All participants
To evaluate preoperative liver function using [99mTc] Tc-GSA SPECT/CT, participants will receive an intravenous injection of 185 MBq/3 mg [99mTc] Tc-GSA through a peripheral vein. SPECT imaging will be performed 20 minutes after tracer injection.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Correlation between [99mTc] Tc-GSA SPECT/CT parameters and ICG clearance
Time Frame: Once before receiving the planned treatment for a hepatic tumor.

The correlation between quantitative liver uptake parameters derived from [99mTc] Tc-GSA SPECT/CT and indocyanine green (ICG) clearance will be assessed using Pearson's/Spearman's rank correlation coefficient.

[99mTc] Tc-GSA SPECT/CT units: Liver function test expresed in Uptake Index (UI) and percentage of total liver volume (FLR%).

Indocyanine green (ICG) clearance units: Liver function test reported as: 1.- ICG retention ratio after 15 min (ICGR15), unit: percentage (%) 2.- Rate constant (k) of ICG indicator-dilution curve (KICG), unit: min-1 3.- Plasma dis-appearance rate of ICG (PDRICG), unit: % min-1.

Once before receiving the planned treatment for a hepatic tumor.
Correlation between [99mTc] Tc-GSA SPECT/CT parameters and Child-Pugh score
Time Frame: Once before receiving the planned treatment for a hepatic tumor.

The correlation between quantitative [99mTc] Tc-GSA SPECT/CT-derived liver function parameters and Child-Pugh score will be assessed using Pearson's/Spearman's rank correlation coefficient.

[99mTc] Tc-GSA SPECT/CT units: Uptake Index (UI) and percentage of total liver volume (FLR%).

Child-Pug score description and units: : Scoring system that estimates cirrhosis severity. It classifies patients into three categories: A - good hepatic function, B - moderately impaired hepatic function, and C - advanced hepatic dysfunction.

Once before receiving the planned treatment for a hepatic tumor.
Correlation between [99mTc] Tc-GSA SPECT/CT parameters and the Model for End-Stage Liver Disease (MELD) score
Time Frame: Once before receiving the planned treatment for a hepatic tumor.

he correlation between quantitative [99mTc] Tc-GSA SPECT/CT-derived liver function parameters and MELD score will be assessed using Pearson's/Spearman's rank correlation coefficient.

[99mTc] Tc-GSA SPECT/CT units: Uptake Index (UI) and percentage of total liver volume (FLR%).

MELD score definition and units: The Model for End-Stage Liver Disease (MELD) is a prognostic score to measure the severity of liver failure. The MELD score is based on results from five blood tests: Bilirubin, Creatinine, Internal normalized ratio (INR), Serum sodium, and Albumin. The MELD score ranges from 6 to 40, and quantifies end-stage liver disease for transplant planning. The higher the score, the more severe the disease.

Once before receiving the planned treatment for a hepatic tumor.
Correlation between [99mTc] Tc-GSA SPECT/CT parameters and liver stiffness measured by ultrasound elastography
Time Frame: Once before receiving the planned treatment for a hepatic tumor.

The correlation between quantitative [99mTc] Tc-GSA SPECT/CT-derived liver function parameters and liver stiffness measured by ultrasound elastography will be assessed using Pearson's/Spearman's rank correlation coefficient.

99mTc] Tc-GSA SPECT/CT units: Uptake Index (UI) and percentage of total liver volume (FLR%) Ultrasound elastography: kilopascals (kPa)

Once before receiving the planned treatment for a hepatic tumor.
Discriminative ability of [99mTc] Tc-GSA SPECT/CT compared with standard liver function tests to predict major postoperative complications
Time Frame: Once after the completion of 90-day follow-up.

The discriminative ability of [99mTc]Tc-GSA SPECT/CT to predict major postoperative complications (Clavien-Dindo grade ≥ III) will be compared with standard liver function tests, including ICG clearance, Child-Pugh score, MELD score, and ultrasound elastography (units and definitions have been previously described).

The Clavien-Dindo classification ranks the severity of surgical complications and consists of seven grades (I, II, IIIa, IIIb, IVa, IVb, and V). Complications of grade ≥ III will be considered major.

Discriminative performance will be assessed using the area under the receiver operating characteristic curve (AUC) for each test. AUCs will be compared using DeLong's test.

Once after the completion of 90-day follow-up.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Association of [99mTc] Tc-GSA, ICG, Child-Pugh, MELD, and ultrasound elastography with 90-day mortality
Time Frame: Once during the final analysis after completion of 90-day follow-up.

A regression model will be run between the variables. Parameters derived from [99mTc] Tc-GSA, ICG, Child-Pugh, MELD, and ultrasound elastography will be treated as independent variables, while 90-day mortality will be treated as binary and dependent variable.

Units for [99mTc] Tc-GSA, ICG, Child-Pugh, MELD, and ultrasound elastography has been described before.

90-day mortality categories: yes, no.

Once during the final analysis after completion of 90-day follow-up.
Association of [99mTc] Tc-GSA, ICG, Child-Pugh, MELD, and ultrasound elastography with post-hepatectomy liver failure
Time Frame: Once during the final analysis after completion of 90-day follow-up.

A regression model will be run between the variables. Parameters derived from [99mTc] Tc-GSA, ICG, Child-Pugh, MELD, and ultrasound elastography will be treated as independent variables, while post-hepatectomy liver failure will be treated as binary and dependent variable.

Units for [99mTc] Tc-GSA, ICG, Child-Pugh, MELD, and ultrasound elastography has been described before.

Post-hepatectomy liver failure categories: yes, no

Once during the final analysis after completion of 90-day follow-up.
Association of [99mTc] Tc-GSA, ICG, Child-Pugh, MELD, and ultrasound elastography with length of stay.
Time Frame: Once during the final analysis after completion of 90-day follow-up.

A regression model will be run between the variables. Parameters derived from [99mTc] Tc-GSA, ICG, Child-Pugh, MELD, and ultrasound elastography will be treated as independent variables, while length of stay. will be treated as dependent variable.

Units for [99mTc] Tc-GSA, ICG, Child-Pugh, MELD, and ultrasound elastography has been described before.

Units for length of stay: days

Once during the final analysis after completion of 90-day follow-up.
Association of [99mTc] Tc-GSA, ICG, Child-Pugh, MELD, and ultrasound elastography with readmission.
Time Frame: Once during the final analysis after completion of 90-day follow-up.

A regression model will be run between the variables. Parameters derived from [99mTc] Tc-GSA, ICG, Child-Pugh, MELD, and ultrasound elastography will be treated as independent variables, while readmision will be treated as binary and dependent variable.

Units for [99mTc] Tc-GSA, ICG, Child-Pugh, MELD, and ultrasound elastography has been described before.

Readmision: yes, no

Once during the final analysis after completion of 90-day follow-up.
Model development and internal validation of a multivariable predictive model combining the most accurate liver function test with preoperative clinical factors (frailty, sarcopenia, grip strength, age, sex, etc.) to predict complications.
Time Frame: Once during the final analysis after completion of 90-day follow-up.
The model performance will be assessed using penalized regression with discrimination, calibration, and bootstrap validation.
Once during the final analysis after completion of 90-day follow-up.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

March 1, 2026

Primary Completion (Estimated)

July 1, 2028

Study Completion (Estimated)

December 1, 2028

Study Registration Dates

First Submitted

December 5, 2025

First Submitted That Met QC Criteria

January 13, 2026

First Posted (Actual)

January 22, 2026

Study Record Updates

Last Update Posted (Actual)

January 22, 2026

Last Update Submitted That Met QC Criteria

January 13, 2026

Last Verified

November 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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