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Purpose: To evaluate the performance of the integrated liver inflammatory score (ILIS) in predicting survival in patients with hepatocellular carcinoma (HCC) who received transarterial chemoembolization, and to compare ILIS to other prognostic scoring systems and inflammatory indices.
Materials And Methods: This study included 192 patients with unresectable HCC who underwent transarterial chemoembolization from 3 medical centers. The potential risk factors of the patients' overall survival (OS) were determined by multivariate Cox regression analysis. The predictive performances of ILIS in 1-, 2-, 3-, 4-, and 5-year survival were evaluated using receiver operating characteristic curves. The discriminatory power in the OS of ILIS and the other known scoring systems or inflammatory indices was determined by C-statistic.
Results: Multivariate regression analysis showed that high ILIS (P = .047), low lymphocyte count (P = .034), beyond up-to-seven criteria (P = .021), and nonresponse to the first transarterial chemoembolization session (P = .039) were risk factors for poor prognosis after transarterial chemoembolization. The predictive performances of ILIS for 1-, 2-, 3-, 4-, and 5-year survival were good, with area under the curve values of 0.627, 0.631, 0.621, 0.577, and 0.681, respectively. ILIS outperformed other standard scoring systems and inflammatory indices in predicting OS, with a C-statistic of 0.625.
Conclusions: ILIS is a powerful prognostic index for predicting the survival of patients with HCC after transarterial chemoembolization, which suggests that ILIS before treatment should be considered during the patient evaluation process.
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http://dx.doi.org/10.1016/j.jvir.2021.03.540 | DOI Listing |
Int J Surg
September 2025
The Affiliated Nanhai Hospital of Traditional Chinese Medicine of Jinan University, Foshan, China.
J Hepatocell Carcinoma
August 2025
Department of Gastroenterology, Liver Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Purpose: Transarterial chemoembolization (TACE) may cause gut dysbiosis by increasing portal vein pressure. However, its association with clinical outcomes remains unknown. We hypothesized that gut microbiota composition and diversity are associated with treatment response and prognosis in patients with hepatocellular carcinoma (HCC) undergoing TACE.
View Article and Find Full Text PDFAm J Case Rep
September 2025
Department of Hematology Oncology, University of Illinois, Chicago, IL, USA.
BACKGROUND Treatment of metastatic vasoactive intestinal peptide tumors (VIPoma) is challenging and requires a careful multidisciplinary approach to achieve optimal disease control. We present a case of metastatic VIPoma with recurring episodes of life-threatening diarrhea necessitating multiple intensive care unit (ICU) admissions. CASE REPORT A 54-year-old man presented with severe watery diarrhea and metabolic acidosis with MRI showing a necrotic pancreatic body mass, and multiple liver lesions.
View Article and Find Full Text PDFEur J Radiol
September 2025
Department of Interventional Therapy, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China. Electronic address:
Objectives: Preoperatively identifying patients with unresectable hepatocellular carcinoma (uHCC) who are likely to achieve an objective response to the treatment regimen of transarterial chemoembolization (TACE) plus lenvatinib and programmed death-1 inhibitors (TLP) remains challenging. We aimed to develop and validate a predictive model for tumor response to TLP treatment in patients with uHCC.
Materials And Methods: Patients with uHCC who received TLP treatment were divided into training (n = 107), internal validation (n = 46), and external validation (n = 52) cohorts.
Radiol Imaging Cancer
September 2025
Department of Radiation Oncology, Cancer Center, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road, Guangzhou, China 510080.
Purpose To develop and test a machine learning (ML)-based model that integrates preoperative variables for prediction of advanced-stage progression (ASP) after transarterial chemoembolization (TACE). Materials and Methods This multicenter retrospective study (ResearchRegistry.com identifier no.
View Article and Find Full Text PDF