Evidence map›Paper›PMID 41395598›Full record

ArticleFrontiers in oncology2025

A T2-weighted MRI grading system for preoperative prediction of visceral pleural invasion in small non-small cell lung cancers.

Ning Zhang, Bei Liu, Hui Feng, Yang Li, Xiaolong Gu, Qian Xu, Li Yang, Xinran Wang, Yingmin Zhai, Gaofeng Shi

Abstract read
In one paragraph

Article in Frontiers in oncology, 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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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

10 authors.

Ning ZhangDepartment of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Bei LiuDepartment of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Hui FengDepartment of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Yang LiDepartment of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Xiaolong GuDepartment of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Qian XuDepartment of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Li YangDepartment of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Xinran WangDepartment of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Yingmin ZhaiDepartment of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Gaofeng ShiDepartment of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the supplemental diagnostic value of T2WI for assessing VPI in NSCLC ≤3 cm with indeterminate CT features (pleural contact/tags). Materials and methods: This prospective single-center study enrolled 138 participants with NSCLC ≤3 cm and CT-suspected pleural involvement, of whom 98 underwent surgical resection and histopathologic VPI confirmation from January 2021 to March 2023. All participants underwent thoracic MRI (3.0T), including T2WI sequences. Two radiologists independently graded tumor-pleural interface signals (Grades 0-3: absent to wedge-shaped hyperintensity). Pathologic VPI served as the reference standard. Logistic regression and ROC analysis were performed to develop a predictive model integrating tumor size and T2WI grades. Results: VPI-positive lesions (35/98, 35.7%) demonstrated larger mean tumor size (22.32 ± 5.58 mm vs. 16.17 ± 4.22 mm; Conclusion: T2WI-based grading of tumor-pleural interface hyperintensity serves as a radiation-free method for preoperative VPI prediction in small NSCLC, offering potential as a complementary tool to CT diagnosis. While promising, these findings require multicenter validation due to the single-center design.

Indexed as

diagnostic accuracynon-small cell lung cancerpreoperative predictionT2-weighted magnetic resonance imagingtumor stagingvisceral pleural invasion

Identifiers

PMID41395598
PMCPMC12695614

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