ArticleAnatolian journal of cardiology2026
T1 Mapping In Differentiating Healthy And Pathological Myocardium.
Article in Anatolian journal of cardiology, 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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4 authors.
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Abstract
backgroundThis study aimed to identify the optimal measurement location and technique for native T1 mapping to establish a standardized approach. We evaluated the diagnostic performance of various T1 mapping measurement approaches by comparing non-ischemic dilated cardiomyopathy (NIDCM) and hypertrophic cardiomyopathy (HCM) cohorts with a control group.
methodsWe retrospectively reviewed patients who underwent 1.5T cardiac magnetic resonance (CMR) with standardized protocol functional sequences, T1 mapping, and late gadolinium enhancement (LGE) between November 2016 and January 2023. A total of 143 subjects (61 NIDCM, 60 HCM, and 22 controls) were grouped based on CMR findings. Native T1 mapping images were acquired in basal, midventricular, and apical short-axis slices. Regions of interest were drawn in both the whole left ventricular myocardium (SAX) and the interventricular septum. Diagnostic yield and optimal cut-off values for native T1 were investigated.
resultsNative T1 values were significantly higher than the control group for six different measurement approaches (p<0.05). Basal SAX and basal septal measurements provided the highest diagnostic accuracy values for both groups. Statistical analysis revealed that T1 values could differentiate between healthy and diseased myocardium, with a diagnostic accuracy of 86% for NIDCM and 73.4% for HCM. Furthermore, T1 values correlated with measures of global systolic function and left ventricular remodeling.
conclusionOur study shows that native T1 mapping using a streamlined single-slice acquisition with a septal measurement technique achieves diagnostic performance comparable to multi-slice protocols while reducing measurement heterogeneity. This optimization facilitates a time-efficient workflow and improves patient comfort without compromising diagnostic accuracy.
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