Prediction of Complications in Patients Undergoing Surgical Treatment of Hepatic Tumors
Overview
- Phase
- Phase 4
- Status
- Not yet recruiting
- Sponsor
- Rigshospitalet, Denmark
- Enrollment
- 192
Overview
Brief Summary
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:
- 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.
- 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 Design
- Study Type
- Interventional
- Allocation
- Na
- Intervention Model
- Single Group
- Primary Purpose
- Diagnostic
- Masking
- None
Eligibility Criteria
- Ages
- 18 Years to 100 Years (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
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:
- •Patients undergoing major liver resection (FLR \< 40%).
- •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.
Investigators
Hans-Christian Pommergaard
Associate professor
Rigshospitalet, Denmark