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定量CT分析预测肺腺癌中PD-L1的表达

Quantitative CT analysis for predicting the PD-L1 expression in lung adenocarcinoma.

作者信息

Tanabe Masaya, Kunihiro Yoshie, Tanabe Masahiro, Kameda Fumi, Nakashima Masatoshi, Kobayashi Taiga, Tanaka Toshiki, Hoshii Yoshinobu, Ito Katsuyoshi

机构信息

Department of Radiology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minamikogushi, Ube, Yamaguchi, 755-8505, Japan.

Department of Radiology, National Hospital Organization Kanmon Medical Center, 1-1 Chofusotouracho, Shimonoseki, Yamaguchi, 752-8510, Japan.

出版信息

Jpn J Radiol. 2025 Aug 26. doi: 10.1007/s11604-025-01857-8.

DOI:10.1007/s11604-025-01857-8
PMID:40856947
Abstract

PURPOSE

The objective of this study was to explore the relationship between a quantitative CT analysis and the expression of programmed death-ligand 1 (PD-L1) in lung adenocarcinoma.

MATERIALS AND METHODS

This study included 116 patients diagnosed with lung adenocarcinoma who were assessed for the expression of PD-L1. Tumors were classified as pure ground-glass nodules (GGNs), part-solid nodules, and solid nodules. The quantitative CT analysis included the tumor diameter and volume, solid component diameter and volume, and rate of the solid components. The CT criteria, and PD-L1 expression rates were compared based on the tumor proportion score (TPS). Optimal cutoff values were obtained utilizing the maximized Youden index method based on the receiver operating characteristic (ROC) analysis. Univariate and multiple linear regression analyses were also performed to examine the influencing factors of 50% and 1% PD-L1 expression.

RESULTS

Solid nodules were significantly more frequent in the TPS ≥ 50% group (TPS ≥ 50% = 81.8% vs. TPS < 1% = 10.0%). The rate of solid component diameter and rate of solid component volume were significantly smaller in TPS < 1% than in TPS < 50% and 1-49% (p < 0.001, respectively). Multiple linear regression analysis identified the rate of solid component volume as a significant factor influencing 50% and 1% PD-L1 expression (p < 0.001 and p = 0.048, respectively).

CONCLUSION

High PD-L1 expression rates may be associated with higher rates of solid components in lung adenocarcinoma.

摘要

目的

本研究的目的是探讨定量CT分析与肺腺癌中程序性死亡配体1(PD-L1)表达之间的关系。

材料与方法

本研究纳入了116例经诊断为肺腺癌的患者,评估其PD-L1表达情况。肿瘤分为纯磨玻璃结节(GGN)、部分实性结节和实性结节。定量CT分析包括肿瘤直径和体积、实性成分直径和体积以及实性成分比例。根据肿瘤比例评分(TPS)比较CT标准和PD-L1表达率。利用基于受试者工作特征(ROC)分析的最大化约登指数法获得最佳截断值。还进行了单因素和多因素线性回归分析,以检查50%和1% PD-L1表达的影响因素。

结果

TPS≥50%组中实性结节明显更常见(TPS≥50% = 81.8% vs. TPS < 1% = 10.0%)。TPS < 1%组的实性成分直径比例和实性成分体积比例明显小于TPS < 50%组和1-49%组(分别为p < 0.001)。多因素线性回归分析确定实性成分体积比例是影响50%和1% PD-L1表达的重要因素(分别为p < 0.001和p = 0.048)。

结论

肺腺癌中高PD-L1表达率可能与较高的实性成分比例相关。

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