Evaluation of PD-L1 Expression in Patients With Non–Small Cell Lung Cancer Using DCE-MRI Quantitative Analysis

IF 2.3 4区医学 Q3 RESPIRATORY SYSTEM

Clinical Respiratory Journal Pub Date : 2025-09-27 DOI:10.1111/crj.70125

Chen Yang, Fandong Zhu, Qianling Li, Chenwen Sun, Hongyan Jin, Zhenhua Zhao

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引用次数: 0

Abstract

Purpose

The aim is to evaluate the expression of programmed death ligand 1 (PD-L1) in patients with non–small cell lung cancer (NSCLC) using quantitative perfusion parameters based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).

Methods

A total of 35 patients with a confirmed diagnosis of NSCLC and sufficient tissue pathology were enrolled in the study. The immunohistochemical (IHC) results were used as the gold standard to determine the thresholds for grouping the patients. The patients were divided into three categories based on their PD-L1 expression: (1) PD-L1-negative (IHC < 1%) and PD-L1-positive (IHC ≥ 1%); (2) PD-L1 weak (IHC < 50%) and strong expression (IHC ≥ 50%); and (3) PD-L1 nonexpression (IHC < 1%), low expression (IHC between 1% and 49%), and high expression (IHC ≥ 50%). DCE-MRI datasets were analyzed to acquire histogram parameters, including mean value, uniformity, skewness, kurtosis, entropy, energy, and quantity, of quantitative perfusion parameters using the extended Tofts model (ETM) and the exchange model (ECM). Subsequently, the parameters were compared between the aforementioned groups.

Results

IHC showed PD-L1 < 1% in 20 cases, PD-L1 (1%–49%) in 14 cases, and PD-L1 ≥ 50% in 14 cases. At a threshold of 50%, statistically significant differences were observed for ETM/K^trans (Q25 and Q50), ETM/K_ep (Q10), and ECM/V_e (Q75 and Q90), with values being higher in the weak PD-L1 expression group. With thresholds of 1% and 50%, the results of the pairwise comparison showed that the ECM/V_e (Q75) value in the low PD-L1 expression group was significantly higher than that in the high PD-L1 expression group.

Conclusion

DCE-MRI quantitative analysis is a valuable tool for the evaluation of PD-L1 expression in NSCLC. It provides a noninvasive method that can be employed as an adjunctive technique for the stratification of PD-L1 expression in patients with NSCLC.

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应用DCE-MRI定量分析评估非小细胞肺癌患者PD-L1表达

目的利用基于动态对比增强磁共振成像（DCE-MRI）的定量灌注参数评估非小细胞肺癌（NSCLC）患者中程序性死亡配体1 （PD-L1）的表达。方法入选35例确诊为非小细胞肺癌且组织病理充分的患者。免疫组化（IHC）结果作为金标准来确定患者分组的阈值。根据PD-L1表达情况将患者分为三类：(1)PD-L1阴性（IHC≥1%）和PD-L1阳性（IHC≥1%）；(2) PD-L1弱表达（IHC≥50%）和强表达（IHC≥50%）；(3) PD-L1不表达（IHC≤1%）、低表达（IHC≤1% ~ 49%）、高表达（IHC≥50%）。采用扩展Tofts模型（ETM）和交换模型（ECM）对DCE-MRI数据集进行分析，获取定量灌注参数的均值、均匀性、偏度、峰度、熵、能量、数量等直方图参数。随后，对上述两组间的参数进行比较。结果IHC显示PD-L1≥1% 20例，PD-L1≥1% 49% 14例，PD-L1≥50% 14例。在阈值为50%时，ETM/Ktrans （Q25和Q50）、ETM/Kep （Q10）和ECM/Ve （Q75和Q90）的差异有统计学意义，且弱PD-L1表达组的数值更高。阈值分别为1%和50%，两两比较结果显示，PD-L1低表达组ECM/Ve （Q75）值显著高于PD-L1高表达组。结论DCE-MRI定量分析是评价非小细胞肺癌中PD-L1表达的一种有价值的工具。它提供了一种无创的方法，可以作为非小细胞肺癌患者PD-L1表达分层的辅助技术。

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来源期刊

Clinical Respiratory Journal 医学-呼吸系统

CiteScore

3.70

自引率

0.00%

发文量

104

审稿时长

>12 weeks

期刊介绍： Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)