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Background & Aims: The prognostic accuracy of individual hepatocellular carcinoma (HCC) patient in each Barcelona Clinic Liver Cancer (BCLC) stage is unclear. We aimed to develop and validate an albumin-bilirubin (ALBI) grade-based nomogram of BCLC to estimate survival for individual HCC patient.
Methods: Between 2002 and 2016, 3690 patients with newly diagnosed HCC were prospectively enrolled and retrospectively analysed. Patients were randomly split into derivation and validation cohort by 1:1 ratio. Multivariate Cox proportional hazards model was used to generate the nomogram from tumour burden, ALBI grade and performance status (PS). The concordance index and calibration plot were determined to evaluate the performance of this nomogram.
Results: Beta coefficients from the Cox model were used to assign nomogram points to different degrees of tumour burden, ALBI grade and PS. The scores of the nomogram ranged from 0 to 24, and were used to predict 3- and 5-year patient survival. The concordance index of this nomogram was 0.77 (95% confidence interval [CI]: 0.71-0.81) in the derivation cohort and 0.76 (95% CI: 0.71-0.81) in the validation cohort. The calibration plots to predict both 3- and 5-year survival rate well matched with the 45-degree ideal line for both cohorts, except for ALBI-based BCLC stage 0 in the validation cohort.
Conclusions: The proposed ALBI-based nomogram of BCLC system is a simple and feasible strategy in the precision medicine era. Our data indicate it is a straightforward and user-friendly prognostic tool to estimate the survival of individual HCC patient except for very early stage patients.
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http://dx.doi.org/10.1111/liv.14249 | DOI Listing |
Magn Reson Imaging
August 2025
The First Affiliated Hospital of China Medical University, PR China. Electronic address:
To evaluate the value of a multiparametric MRI-based nomogram on predicting response to transcatheter arterial chemoembolization (TACE) in virus-associated hepatocellular carcinoma (HCC) patients; METHODS: This study enrolled 235 and 51 patients from Center 1 and 2, respectively. All patients underwent baseline MRI scans before treatment. The least absolute shrinkage and selection operator (LASSO) regression method was used to screen radiomics features from intra- and peri-tumor areas to establish the radiomics signatures (RS).
View Article and Find Full Text PDFFront Immunol
August 2025
Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Purpose: This research aims to develop prognostic nomograms to predict tumor recurrence and recurrence-free survival (RFS) in individuals with initially unresectable hepatocellular carcinoma (uHCC) who were later subjected to conversion hepatectomy following lenvatinib, PD-1 inhibitors, and interventional (LPI) therapy.
Methods: We performed a retrospective review of clinical information from 150 individuals diagnosed with HCC who underwent conversion hepatectomy following LPI therapy between November 2019 and December 2024. Independent predictors linked to recurrence and RFS were identified through comprehensive univariate and multivariate analyses, and the identified factors were subsequently integrated into nomogram models.
Front Nutr
June 2025
Department of Hepatobiliary and Pancreatic Surgery, Nanning Ninth People's Hospital, Nanning, China.
Objective: The Global Leadership Initiative on Malnutrition (GLIM) criteria were developed to standardize diagnoses of malnutrition. However, the prognostic utility of the GLIM criteria and predictive models including GLIM criteria in patients diagnosed with hepatocellular carcinoma (HCC) undergoing hepatectomy remains largely unexplored.
Methods: This retrospective study included 477 HCC patients who underwent curative hepatectomy at two centers (training cohort: = 297, January 2014 to November 2020; validation cohort: = 180, April 2018 to December 2019).
Biomedicines
May 2025
Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Interventional Medical Center, Science and Technology Innovation Center, The Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China.
: The primary objective of this study was to develop and validate a predictive nomogram that integrates radiomic features derived from contrast-enhanced computed tomography (CECT) images with clinical variables to predict overall survival (OS) in patients with hepatocellular carcinoma (HCC) after surgical resection. : This retrospective study analyzed the preoperative enhanced CT images and clinical data of 202 patients with HCC who underwent surgical resection at the Affiliated Hospital of North Sichuan Medical College (Institution 1) from June 2017 to June 2021 and at Nanchong Central Hospital (Institution 2) from June 2020 to June 2022. Among these patients, 162 patients from Institution 1 were randomly divided into a training cohort (112 patients) and an internal validation cohort (50 patients) at a 7:3 ratio, whereas 40 patients from Institution 2 were assigned as an independent external validation cohort.
View Article and Find Full Text PDFUpdates Surg
August 2025
Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400000, China.
This study was to construct a nomogram based on prognostic nutritional index (PNI) and preoperative transcatheter arterial chemoembolization (TACE) to predict the overall survival (OS) of patients with hepatocellular carcinoma (HCC) larger than 2 cm after hepatectomy. 307 and 131 patients were included in the development and validation sets, respectively. The clinical endpoint was OS.
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