Evidence map›Paper›PMID 42292238›Full record

ArticleFrontiers in medicine2026

Correlation between tumor mutational burden and CT radiographic features in EGFR exon 19 deletion-mutated lung adenocarcinoma: a diagnostic accuracy study.

Qing Nie, Shouyu Wang, Changzhi Liu, Hongli Leng

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Qing NieDepartment of Imaging, Funan County People's Hospital, Fuyang, Anhui, China.
Shouyu WangDepartment of Imaging, Funan County People's Hospital, Fuyang, Anhui, China.
Changzhi LiuDepartment of Imaging, Funan County People's Hospital, Fuyang, Anhui, China.
Hongli LengDepartment of Imaging, Funan County People's Hospital, Fuyang, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As the predominant subtype of non-small cell lung cancer, lung adenocarcinoma exhibits a pathogenesis closely associated with molecular characteristics. Tumor mutational burden (TMB) has emerged as a critical biomarker for predicting responses to immunotherapy. Although computed tomography (CT) imaging is widely utilized in diagnosing lung adenocarcinoma and its morphological features may reflect genomic attributes, the precise relationship between TMB and CT radiographic features remains inadequately elucidated. Objective: This study aimed to investigate the correlation between TMB and CT radiographic features in lung adenocarcinoma and to evaluate the diagnostic value of these features in identifying high TMB, thereby providing a non-invasive approach for TMB assessment. Methods: A total of 156 treatment-naïve lung adenocarcinoma patients with epidermal growth factor receptor (EGFR) exon 19 deletion mutations, admitted to Funan County People's Hospital between January 2022 and August 2025, were enrolled. Based on TMB levels, patients were stratified into high-TMB (TMB ≥ 10 mut/Mb, Results: The high-TMB group exhibited a significantly larger maximum tumor diameter compared to the low-TMB group ( Conclusion: CT-based radiological features are significantly correlated with TMB status in lung adenocarcinoma. A composite model incorporating these features demonstrates high diagnostic accuracy for identifying high TMB, offering a valuable non-invasive tool for guiding personalized treatment strategies.

Indexed as

computed tomographydiagnostic accuracylung adenocarcinomaradiological featurestumor mutational burden

Identifiers

PMID42292238
PMCPMC13260179

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.