Prognostic Value of the PET/CT-Derived Maximum Standardized Uptake Value Combined with the Neutrophil–Lymphocyte Ratio in Patients with Hepatocellular Carcinoma Undergoing Hepatectomy

<b>Background:</b> We aimed to evaluate ability of a novel scoring system that combines fluorodeoxyglucose-uptake parameters and systemic inflammatory response indicators to predict hepatocellular carcinoma (HCC) prognosis. <b>Methods:</b> Clinical data were collected from patients with HCC who underwent hepatectomy at our hospital in 2014-2022. The tumor-to-liver ratio (TLR) was adopted as a positron emission tomography/computed tomography (PET/CT) standardized uptake value (SUV)-related indicator and calculated as the ratio of the SUV<sub>max</sub> of tumor tissue to the SUV<sub>mean</sub> of normal liver tissue. The patients' immune microenvironment reflected the NLR. Postoperative overall survival (OS)- and disease-free survival (DFS)-related independent prognostic factors were analyzed using Cox proportional hazards regression modeling. <b>Results:</b> Eighty-nine patients were included. TLR, NLR, and alpha-fetoprotein levels were independently associated with OS and DFS. The OS and DFS in the zero-point group were significantly longer than those in the one- and two-point groups. Time-dependent ROC curve analyses revealed area under the curve values of 0.830 and 0.752 for 5-year OS and DFS, respectively, for the scoring system, outperforming single evaluation indices. <b>Conclusions:</b> The proposed scoring system, which incorporates both TLR and NLR, simultaneously reflects metabolic tumor characteristics and the host's immune microenvironment, enabling more accurate patients with early to intermediate-stage HCC undergoing hepatectomy classification and better prognostic evaluation.

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Publication Details

Journal
Current Oncology
Published
2025-12-25
DOI
https://doi.org/10.3390/curroncol33010013
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00

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article

Prognostic Value of the PET/CT-Derived Maximum Standardized Uptake Value Combined with the Neutrophil–Lymphocyte Ratio in Patients with Hepatocellular Carcinoma Undergoing Hepatectomy

Chaoliu Dai, Tianyi Zhou
Current Oncology
Inflammatory Biomarkers in Disease Prognosis
article

Prognostic Value of the PET/CT-Derived Maximum Standardized Uptake Value Combined with the Neutrophil–Lymphocyte Ratio in Patients with Hepatocellular Carcinoma Undergoing Hepatectomy

Chaoliu Dai, Tianyi Zhou
article en

Abstract

<b>Background:</b> We aimed to evaluate ability of a novel scoring system that combines fluorodeoxyglucose-uptake parameters and systemic inflammatory response indicators to predict hepatocellular carcinoma (HCC) prognosis. <b>Methods:</b> Clinical data were collected from patients with HCC who underwent hepatectomy at our hospital in 2014-2022. The tumor-to-liver ratio (TLR) was adopted as a positron emission tomography/computed tomography (PET/CT) standardized uptake value (SUV)-related indicator and calculated as the ratio of the SUV<sub>max</sub> of tumor tissue to the SUV<sub>mean</sub> of normal liver tissue. The patients' immune microenvironment reflected the NLR. Postoperative overall survival (OS)- and disease-free survival (DFS)-related independent prognostic factors were analyzed using Cox proportional hazards regression modeling. <b>Results:</b> Eighty-nine patients were included. TLR, NLR, and alpha-fetoprotein levels were independently associated with OS and DFS. The OS and DFS in the zero-point group were significantly longer than those in the one- and two-point groups. Time-dependent ROC curve analyses revealed area under the curve values of 0.830 and 0.752 for 5-year OS and DFS, respectively, for the scoring system, outperforming single evaluation indices. <b>Conclusions:</b> The proposed scoring system, which incorporates both TLR and NLR, simultaneously reflects metabolic tumor characteristics and the host's immune microenvironment, enabling more accurate patients with early to intermediate-stage HCC undergoing hepatectomy classification and better prognostic evaluation.

Current OncologyVol. 33(1)
China Medical University (CN)
China Medical University, Shengjing Hospital
Good health and well-being
Openalex Percentile: Top 31%
Inflammatory Biomarkers in Disease Prognosis
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