Recurrence is of utmost importance for hepatocellular carcinoma (HCC) after ultrasound-guided microwave ablation (UGMWA) therapy. The fibrosis 4 (FIB-4) index is a valuable predictor of HCC recurrence after surgical resection. However, whether FIB-4 can predict the recurrence of HCC patients receiving UGMWA remains unclear. The FIB-4 index was detected in healthy controls, hepatitis patients, and HCC patients. The predictive value of FIB-4 in HCC occurrence and recurrence following UGMWA therapy was evaluated using receiver operating characteristic analysis. The associated factors of FIB-4 in HCC patients were compared between patients with high and low levels of FIB-4. A Kaplan-Meier plot was used to assess the impact of FIB-4 on overall survival (OS) and recurrence-free survival (RFS). FIB-4 levels were increased in HCC patients and could predict the occurrence of HCC. Meanwhile, it was associated with five factors, including recurrence. Furthermore, FIB-4 levels decreased in HCC patients after UGMWA therapy but increased in recurrent HCC patients following UGMWA therapy. Importantly, FIB-4 could predict recurrence after UGMWA. The HCC patients had shorter OS and RFS. FIB-4 was associated with HCC recurrence after UGMWA therapy. Specifically, it had a predictive value for HCC occurrence and recurrence following UGMWA therapy.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s12010-024-05108-w | DOI Listing |
World J Surg Oncol
January 2025
Department for General, Visceral and Pediatric Surgery, Medical Faculty, Heinrich Heine University Düsseldorf, University Hospital Düsseldorf, Düsseldorf, Germany.
Background: Hepatocellular Carcinoma (HCC) and cholangiocellular adenocarcinoma (CCA) are the most common primary liver tumors representing a major global health burden. In early disease stages, tumor resection may provide long-term survival in selected patients. However, morbidity and mortality rates are still relatively high after extended liver surgery with perioperative bacterial infections representing major complications.
View Article and Find Full Text PDFBiol Direct
January 2025
Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, 610041, China.
Background: Liquid-liquid phase separation (LLPS) is essential for the formation of membraneless organelles and significantly influences cellular compartmentalization, chromatin remodeling, and gene regulation. Previous research has highlighted the critical function of liquid-liquid biopolymers in the development of hepatocellular carcinoma (HCC).
Methods: This study conducted a comprehensive review of 3,685 liquid-liquid biopolymer regulators, leading to the development of a LLPS related Prognostic Risk Score (LPRS) for HCC through bootstrap-based univariate Cox, Random Survival Forest (RSF), and LASSO analyses.
J Gastroenterol Hepatol
January 2025
Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan.
Aim: This study aimed to compare the prognostic performance of the risk models for patients with hepatocellular carcinoma (HCC) receiving atezolizumab and bevacizumab (Atez/Bev) as first-line treatment.
Methods: Among 449 patients included in this retrospective multicenter study, we compared the prognostic performance of 13 risk models for the 12-month and 18-month survival status using area under the curve (AUC), net reclassification improvement (NRI), and relative integrated discrimination improvement (IDI) analysis. We also constructed a calibration plot to assess the fitness of each model.
Clin Mol Hepatol
January 2025
Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Background/aims: There are no hepatocellular carcinoma (HCC) surveillance recommendations for non-viral chronic liver diseases (CLD), such as metabolic dysfunction associated steatotic liver disease (MASLD). We explored the Steatosis-Associated Fibrosis Estimator (SAFE) score to predict HCC in MASLD and other CLD etiologies.
Methods: Patients with various CLDs were included from medical centers in Taiwan.
Health Aff (Millwood)
January 2025
David J. Meyers, Brown University.
Under the current Medicare Advantage (MA) risk-adjustment system, plans are incentivized to report diagnosis codes on enrollees' medical claims reflecting additional and more severe health conditions to increase enrollees' risk scores and corresponding plan payments. To improve the integrity of risk adjustment, researchers have proposed four alternative methods to construct risk scores: calculate Hierarchical Condition Categories (HCC) scores excluding diagnosis codes from health risk assessments and chart reviews, calculate HCC scores excluding diagnosis codes most subject to score inflation, use pharmaceutical claims alone, and use self-reported survey responses alone or in combination with diagnosis codes. Using 2016-19 medical and pharmaceutical claims linked to Consumer Assessment of Healthcare Providers and Systems survey responses from 151,432 MA enrollees, we compared the predictive accuracy of each alternative strategy with the standard HCC approach.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!