Evidence map›Paper›PMID 41660446›Full record

ArticleJournal of thoracic disease2026

Combined anatomical MRI differentiates pulmonary invasive adenocarcinoma from tuberculoma in noncalcified nodule: a retrospective comparison of CT with MRI.

Shuyi Yang, Yuxin Shi, Yaoyao Zhuo, Zhiyong Zhang, Fei Shan

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Article in Journal of thoracic disease, 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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5 · Who and what money

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5 authors.

Shuyi YangDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yuxin ShiShanghai Institute of Medical Imaging, Shanghai, China.
Yaoyao ZhuoDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhiyong ZhangDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Fei ShanShanghai Institute of Medical Imaging, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary adenocarcinoma is the most common pathological type of malignant pulmonary nodules, of which, invasive adenocarcinoma (IAC) is associated with a risk of recurrence. Pulmonary tuberculoma can sometimes present as noncalcified, solid pulmonary nodule with imaging characteristics such as lobulation, spiculation, and pleural indentation, which is difficult to distinguish from IAC. Magnetic resonance imaging (MRI) as a non-ionizing modality can be complementary tool for nodules assessment. This study aimed to evaluate the potential of the combined conventional and modified anatomical MRI sequences for differential diagnosis of IAC and tuberculoma. Methods: Sixty-seven patients with 82 noncalcified nodules underwent computed tomography (CT) and MRI (T1WI-starVIBE, T1WI-VIBE, T2WI-TSE-fBLADE). Two radiologists independently assessed nodule dimensions and morphologic features. The inter-method agreement of morphologic features assessment by CT and MRI sequences were compared using Kappa test. Multivariate logistic regression analyses were applied to identify independent predictors of IAC. Receiver operating characteristic (ROC) analysis was performed to investigate the differential diagnosis capability. Results: Thirty-eight IACs and 44 tuberculomas were identified. Readers 1 and 2 underestimated the nodules mean diameter with T1WI-starVIBE (T1WI-VIBE, T2WI-TSE-fBLADE) by 0.86±1.71 mm (1.19±2.06, 0.15±1.96 mm) and 0.99±1.75 mm (1.27±2.04, 0.19±1.91 mm). The inter-method agreements between MRI and CT were "fair" to "excellent" in the evaluation of morphological features except for spiculation. Compared with the tuberculoma group, the IAC group was significant with unclear margin (T1WI-starVIBE, T1WI-VIBE), irregular morphology (CT, MRI), lobulation (CT, MRI), spiculation (T1WI-starVIBE, T2WI-TSE-fBLADE) and air bronchogram (CT, T1WI-starVIBE and T1WI-VIBE) (P<0.05). The area under the curve (AUC) values for the logistic model by the combination of CT and MRI were 0.867/0.877 (sensitivity 73.68%/76.32%, specificity 86.36%/86.36%) and were significantly higher than that by T1WI-starVIBE (P=0.002) and T1WI-TSE-fBLADE (P=0.03) (reader 1), as well as higher than that by CT (P=0.045) and T1WI-starVIBE (P=0.003) (reader 2). Conclusions: The combined conventional and modified anatomical MRI sequences has diagnostic potential in distinguishing pulmonary IAC from tuberculoma.

Indexed as

Invasive adenocarcinoma (IAC)magnetic resonance imaging (MRI)tuberculoma

Identifiers

PMID41660446
PMCPMC12876006

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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.