Evidence map›Paper›PMID 39825348›Full record

SynthesisBiomedical engineering online2025

The potential of MRI radiomics based on extrapulmonary metastases in predicting EGFR mutations: a systematic review and meta-analysis.

Linyong Wu, Dayou Wei, Songhua Li, Shaofeng Wu, Yan Lin, Lifei Chen

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Biomedical engineering online, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Linyong Wu *Department of Medical Ultrasound, Maoming People's Hospital, Maoming, Guangdong, 525011, People's Republic of China.
Dayou WeiDepartment of Medical Ultrasound, Maoming People's Hospital, Maoming, Guangdong, 525011, People's Republic of China. weidayoumm@163.com.
Songhua LiDepartment of Medical Ultrasound, Maoming People's Hospital, Maoming, Guangdong, 525011, People's Republic of China.
Shaofeng WuDepartment of Medical Ultrasound, Maoming People's Hospital, Maoming, Guangdong, 525011, People's Republic of China.
Yan LinDepartment of Medical Ultrasound, Maoming People's Hospital, Maoming, Guangdong, 525011, People's Republic of China.
Lifei ChenDepartment of Medical Ultrasound, Maoming People's Hospital, Maoming, Guangdong, 525011, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidermal growth factor receptor (EGFR) gene mutations can lead to distant metastasis in non-small cell lung cancer (NSCLC). When the primary NSCLC lesions are removed or cannot be sampled, the EGFR status of the metastatic lesions are the potential alternative method to reflect EGFR mutations in the primary NSCLC lesions. This review aimed to evaluate the potential of magnetic resonance imaging (MRI) radiomics based on extrapulmonary metastases in predicting EGFR mutations through a systematic reviews and meta-analysis. MATERIALS AND

methodsA systematic review of the studies on MRI radiomics based on extrapulmonary metastases in predicting EGFR mutations. The area under the curve (AUC), sensitivity (SNEC), and specificity (SPEC) of each study were separately extracted for comprehensive evaluation of MRI radiomics in predicting EGFR mutations in primary or metastatic NSCLC.

resultsThirteen studies were ultimately included, with 2369 cases of metastatic NSCLC, including five studies predicting EGFR mutations in primary NSCLC, eight studies predicting EGFR mutations in metastatic NSCL. In terms of EGFR mutations in the primary lesion of NSCLC, the pooled AUC was 0.90, with SENC and SPEC of 0.80 and 0.85, respectively, which seems superior to the radiomics meta-analysis based on NSCLC primary lesions. In terms of EGFR mutations in NSCLC metastases, the pooled AUC was 0.86, with SENC and SEPC of 0.79 and 0.79, respectively, indicating moderate evaluation performance.

conclusionsMRI radiomics helps to predict the EGFR mutation status in the primary or metastatic lesions of NSCLC, serve as a high-precision supplement to current molecular detection methods.

Indexed as

Carcinoma, Non-Small-Cell LungErbB ReceptorsImage Processing, Computer-AssistedLung NeoplasmsMagnetic Resonance ImagingMutationHumansNeoplasm MetastasisRadiomicsEGFR protein, humanErbB ReceptorsEpidermal growth factor receptorMagnetic resonance imagingMetastasesNon-small cell lung cancerRadiomicsSystematic review

Identifiers

PMID39825348
PMCPMC11742221

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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.