ArticleQuantitative imaging in medicine and surgery2026
T1 mapping-based multi-parametric MRI for subtyping and differentiation grading of non-small cell lung cancer.
Article in Quantitative imaging in medicine and surgery, 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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Abstract
Background: Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast and enables multi-parametric assessment of tumor biology. Longitudinal relaxation time (T1) mapping has emerged as a quantitative method capable of measuring the intrinsic T1 value of tissues, reflecting microscopic structural and compositional changes in the tumor microenvironment. This study aimed to evaluate the utility of magnetic resonance T1 mapping, alone and in combination with diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE-MRI), in differentiating histologic subtypes and assessing tumor differentiation in non-small cell lung cancer (NSCLC). Methods: A total of 76 patients with pathologically confirmed NSCLC [48 adenocarcinoma (AD), 28 squamous cell carcinoma (SCC)] were prospectively enrolled. Patients were further stratified into poorly differentiated (n=32) and moderately/highly differentiated (n=44) groups. All underwent conventional MRI, DWI, DCE-MRI, and native/post-contrast T1 mapping. Quantitative parameters included apparent diffusion coefficient (ADC), Ktrans, Kep, Ve, T1 Results: The agreement between the two readers was reasonably good with intraclass coefficient (ICC) values of 0.938 for T1 Conclusions: Multi-parametric MRI centered on T1 mapping, particularly when combined with ADC, provides a reproducible and non-invasive tool for subtyping and grading NSCLC, underscoring its potential as a clinically useful imaging biomarker.
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