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The correlation between preoperative total lesion glycolysis and lymphovascular invasion based on 18F-FDG PET/CT and its predictive value in primary gastric cancer: a cross-sectional study

淋巴血管侵犯 医学 预测值 相关性 放射科 病变 癌症 核医学 病理 内科学 转移 数学 几何学
作者
Xiu-Qing Xue,Xiaofeng Li,Xun Shi,Yuetao Wang
出处
期刊:Quantitative imaging in medicine and surgery [AME Publishing Company]
卷期号:15 (9): 7738-7748
标识
DOI:10.21037/qims-2025-644
摘要

Lymphovascular invasion (LVI) is a critical factor in the lymphatic spread of tumor cells, and is closely associated with local recurrence and distant metastasis in gastric cancer. The study aimed to evaluate the correlation and predictive value of preoperative total lesion glycolysis (TLG) in patients with primary gastric cancer as measured by a combination of 18F-labeled fluoro-2-deoxyglucose (18F-FDG) positron emission tomography (PET) and computed tomography (CT) for LVI. A retrospective analysis of the demographic and 18F-FDG PET/CT data of 177 patients with gastric cancer diagnosed by postoperative pathology at The Third Affiliated Hospital of Soochow University between January 2014 and August 2021 was conducted. The cohort comprised 124 males and 53 females. The 18F-FDG PET/CT data analyzed included the primary lesion location and size, lymph node metastasis (LNM) status, and metabolic parameters [i.e., the maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), and TLG]. The patients were categorized into LVI-positive (LVI+) and LVI-negative (LVI-) groups based on postoperative pathological findings. Differences in the clinical data between the two groups were analyzed. Univariate and multivariate logistic regression models were employed to assess the correlation between preoperative TLG and LVI. A generalized additive model (GAM) was applied for curve fitting, and receiver operating characteristic (ROC) curves were plotted to evaluate the predictive efficacy of preoperative TLG for LVI. Among the 177 patients, 71 (40.1%) were LVI+, and 106 (59.9%) were LVI-. Significant differences were observed between the two groups in terms of the primary lesion size, LNM status, age, SUVmax, SUVmean, MTV, and TLG (all P<0.05 or P<0.001). A per standard deviation (SD) increase in TLG was associated with a 59.1% increased risk of LVI [odds ratio (OR) =1.591; 95% confidence interval (CI): 1.142-2.216; P=0.006]. After adjusting for confounders, TLG remained significantly associated with an increased risk of LVI (OR per SD: 1.428; 95% CI: 1.018-2.002; P=0.039). Treating TLG as a categorical variable produced consistent results (P for trend =0.014). In the clinical lymph node metastasis positive (cLNM+) subgroup, a TLG value ≥53.3 predicted LVI with a sensitivity of 81.4% (35/43), a specificity of 37.8% (14/37), and an accuracy of 61.3% (49/80). In the clinical lymph node metastasis negative (cLNM-) subgroup, a TLG value ≥41.9 predicted LVI with a sensitivity of 82.1% (23/28), a specificity of 53.6% (37/69), and an accuracy of 61.9% (60/97). Preoperative TLG exhibits a positive linear correlation with the risk of LVI in primary gastric cancer. TLG shows high sensitivity for predicting LVI, making it a valuable imaging biomarker for assessing LVI risk in gastric cancer, especially in cLNM- but LVI+ patients.
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