The lifetime utility of liver transplantation (LT) in patients with hepatocellular carcinoma (HCC) is still controversial. The aim of this study was to ascertain when LT is cost-effective for HCC patients, with a view to proposing new transplant selection criteria. The study involved a real cohort of potentially transplantable Italian HCC patients (n = 2419 selected from the Italian Liver Cancer group database) who received nontransplant therapies. A non-LT survival analysis was conducted, the direct costs of therapies were calculated, and a Markov model was used to compute the cost utility of LT over non-LT therapies in Italian and US cost scenarios. Post-LT survival was calculated using the alpha-fetoprotein (AFP) model on the basis of AFP values and radiological size and number of nodules. The primary endpoint was the net health benefit (NHB), defined as LT survival benefit in quality-adjusted life years minus incremental costs (US $)/willingness to pay. The calculated median cost of non-LT therapies per patient was US $53,042 in Italy and US $62,827 in the United States. On Monte Carlo simulation, the NHB of LT was always positive for AFP model values ≤ 3 and always negative for values > 7 in both countries. A multivariate model showed that nontumor variables (patient's age, Child-Turcotte-Pugh [CTP] class, and alternative therapies) had the potential to shift the AFP model threshold of LT cost-ineffectiveness from 3 to 7. LT proved always cost-effective for HCC patients with AFP model values ≤ 3, whereas the cost-ineffectiveness threshold ranged between 3 and 7 using nontumor variables.
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http://dx.doi.org/10.1002/lt.24214 | DOI Listing |
Quant Imaging Med Surg
January 2025
Department of Nuclear Medicine, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Background: Accurately differentiating hepatocellular carcinoma (HCC) from intrahepatic cholangiocarcinoma (ICC) is essential for therapeutic decision-making. This study aimed to explore the value of Fluor 18 (F)-conjugated fibroblast-activation protein inhibitor (FAPI-42) positron emission tomography-computed tomography (PET/CT) in distinguishing HCC from ICC preoperatively.
Methods: Patients with suspected intrahepatic lesions who underwent F-FAPI-42 PET/CT were retrospectively assessed and placed into an HCC group and an ICC group based on postoperative pathology.
BMC Cancer
January 2025
Department of Radiology, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital, The Affiliated Hospital of Beijing Institute of Technology), No. 79 Kangning Road, Zhuhai, 519000, Guangdong Province, China.
Background: Besides tumorous information, synergistic liver parenchyma assessments may provide additional insights into the prognosis of hepatocellular carcinoma (HCC). This study aimed to investigate whether 3D synergistic tumor-liver analysis could improve the prediction accuracy for HCC prognosis.
Methods: A total of 422 HCC patients from six centers were included.
Drugs Real World Outcomes
January 2025
Interventional Radiology Department, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Background: The combination of regorafenib and immune checkpoint inhibitor (ICI) has been the most popular second-line systemic therapy for advanced hepatocellular carcinoma (HCC). However, considering the good anti-tumor performance of lenvatinib, combined immunotherapy on the basis of lenvatinib after first-line lenvatinib failure is also popular in clinical practice. This study aimed to compare the efficacy and safety of regorafenib plus ICI (TACE-R-I) versus lenvatinib plus ICI (TACE-L-I) in patients with advanced HCC after lenvatinib failure.
View Article and Find Full Text PDFExpert Syst Appl
October 2024
Department of Cell Systems and Anatomy, University of Texas Health Science Center at San Antonio, TX, United States.
Hepatocellular carcinoma (HCC) remains a global health challenge with high mortality rates, largely due to late diagnosis and suboptimal efficacy of current therapies. With the imperative need for more reliable, non-invasive diagnostic tools and novel therapeutic strategies, this study focuses on the discovery and application of novel genetic biomarkers for HCC using explainable artificial intelligence (XAI). Despite advances in HCC research, current biomarkers like Alpha-fetoprotein (AFP) exhibit limitations in sensitivity and specificity, necessitating a shift towards more precise and reliable markers.
View Article and Find Full Text PDFEur J Surg Oncol
January 2025
Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, United States. Electronic address:
Objective: We sought to develop a predictive model to preoperatively identify patients with hepatocellular carcinoma (HCC) at risk of undergoing futile upfront liver resection (LR).
Methods: Patients undergoing curative-intent LR for HCC were identified from a large multi-institutional database. Futile LR was defined by death or disease recurrence within six months postoperatively.
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