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Texture analysis applied in T1 maps and extracellular volume obtained using cardiac MRI in the diagnosis of hypertrophic cardiomyopathy and hypertensive heart disease compared with normal controls.
Shi, R-Y; Wu, R; An, D-A L; Chen, B-H; Wu, C-W; Du, L; Jiang, M; Xu, J-R; Wu, L-M.
Afiliación
  • Shi RY; Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Wu R; Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • An DL; Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Chen BH; Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Wu CW; Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Du L; Department of Robotics, Ritsumeikan University, Shiga, Japan.
  • Jiang M; Department of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Xu JR; Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. Electronic address: xujrrj@163.com.
  • Wu LM; Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. Electronic address: xujrrj@163.com.
Clin Radiol ; 76(3): 236.e9-236.e19, 2021 Mar.
Article en En | MEDLINE | ID: mdl-33272531
AIM: To assess the potential of texture analysis (TA) applied in T1 maps and extracellular volume (ECV) obtained using cardiac magnetic resonance (CMR) in the diagnosis of hypertrophic cardiomyopathy (HCM) and hypertensive heart disease (HHD) compared with normal controls (NC). Strain parameters were analysed to compare with final TA models. MATERIALS AND METHODS: This retrospective study included 66 HCM patients, 39 HHD patients, and 41 NC. Step-wise dimension reduction and feature selection were performed by reproducibility, machine learning, collinearity, and multivariable regression analysis to select the texture features that enable diagnosis of and differentiation between HCM and HHD. Strain parameters were calculated by short-axis and three long-axis cine sequences. RESULTS: Independent features in T1 maps and ECV analysis allowed for the differentiation between patients (HCM and HHD) and NC. Of the best-calculated model, the areas under the receiver operating curve (AUCs) were as follows: 0.969 for T1 map and 0.964 for ECV. To distinguish HCM from HHD, two independent features were screened out for both T1 and ECV maps. The AUCs were as follows: 0.793 for T1 map and 0.894 for ECV. Radial, circumferential, and longitudinal strain parameters could differentiate patients from NC, but only longitudinal strain parameters was significantly different between HCM and HHD. CONCLUSIONS: Texture analysis of T1 maps and ECV shows high accuracy in differentiating hypertrophic myocardium from NC, and HCM from HHD. Strain parameters are able to demonstrate the difference between patients and NC, but were less impressive in differentiating HCM and HHD.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cardiomiopatía Hipertrófica / Imagen por Resonancia Magnética / Hipertensión Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Radiol Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cardiomiopatía Hipertrófica / Imagen por Resonancia Magnética / Hipertensión Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Radiol Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido