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

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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Publication Details

Journal
The Clinical Respiratory Journal
Published
2025-09-27
DOI
https://doi.org/10.1111/crj.70125
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

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

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1 citations
The Clinical Respiratory Journal
Radiomics and Machine Learning in Medical Imaging
1.36
article

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

Zhenhua Zhao, Chenwen Sun, Fandong Zhu, Hongyan Jin, Qianling Li, Chen Long Yang
article en
1 citations

Abstract

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.

The Clinical Respiratory JournalVol. 19(10)
Shaoxing No.6 People's Hospital (CN), Shaoxing People's Hospital (CN)
Openalex Percentile: Top 15%
Radiomics and Machine Learning in Medical Imaging
1.36
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