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Feature tracking for assessment of diastolic function by cardiovascular magnetic resonance imaging.
Ng, M Y; Tong, X; He, J; Lin, Q; Luo, L; Chen, Y; Shen, X P; Wan, E Y F; Yan, A T; Yiu, K H.
Afiliación
  • Ng MY; University of Hong Kong - Shenzhen Hospital, Department of Medical Imaging, 1st Haiyuan Road, Shenzhen, Guangdong, China; The University of Hong Kong, Department of Diagnostic Radiology, Hong Kong SAR, China. Electronic address: myng2@hku.hk.
  • Tong X; The University of Hong Kong, Department of Diagnostic Radiology, Hong Kong SAR, China.
  • He J; University of Hong Kong - Shenzhen Hospital, Department of Medical Imaging, 1st Haiyuan Road, Shenzhen, Guangdong, China.
  • Lin Q; University of Hong Kong - Shenzhen Hospital, Department of Medical Imaging, 1st Haiyuan Road, Shenzhen, Guangdong, China.
  • Luo L; University of Hong Kong - Shenzhen Hospital, Department of Medical Imaging, 1st Haiyuan Road, Shenzhen, Guangdong, China.
  • Chen Y; University of Hong Kong - Shenzhen Hospital, Department of Medical Imaging, 1st Haiyuan Road, Shenzhen, Guangdong, China.
  • Shen XP; University of Hong Kong - Shenzhen Hospital, Department of Medical Imaging, 1st Haiyuan Road, Shenzhen, Guangdong, China.
  • Wan EYF; University of Hong Kong, Department of Family Medicine and Primary Care, Hong Kong SAR, China.
  • Yan AT; University of Toronto, Toronto, Ontario, Canada; Department of Medicine and Department of Medical Imaging, St Michael's Hospital, Canada.
  • Yiu KH; University of Hong Kong, Department of Medicine, Hong Kong SAR, China.
Clin Radiol ; 75(4): 321.e1-321.e11, 2020 04.
Article en En | MEDLINE | ID: mdl-31898961
ABSTRACT

AIM:

To assess the agreement of cardiovascular magnetic resonance imaging (CMRI) feature-tracking (FT) parameters with echocardiography to diagnose diastolic dysfunction; to determine whether a similar parameter to mitral inflow early diastolic velocity to early diastolic tissue velocity ratio (E/e') can increase accuracy of imaging by dividing the phase contrast (PC) mitral inflow E-wave (E) with a CMRI-FT parameter; to compare the agreement between CMRI-FT and PC diastolic function assessment using echocardiography. MATERIALS AND

METHODS:

Patients (n=71; 43 abnormal diastolic function) undergoing both CMRI and echocardiography independently were included. Echocardiography was the reference standard. CMRI-FT analysed the short and long axis cine contours. PC images of mitral inflow, tissue velocity, pulmonary vein flow, and left atrial area were assessed.

RESULTS:

Using CMRI-FT, the area under the curve (AUC) for identifying diastolic dysfunction was >0.80 for radial and circumferential strain, systolic strain rate (SSR), and early diastolic strain rate (DSR). For cases with CMRI-determined left ventricular ejection fraction (LVEF) ≥50% (n=38), circumferential DSR was the only parameter with good accuracy (AUC=0.87; cut-off 0.93/s). E/circumferential DSR ratio and longitudinal strain had high accuracy in all patients (AUC=0.88 and 0.93 respectively) and CMRI-determined LVEF ≥50% (AUC=0.81; cut-off 76.7). Circumferential DSR showed the highest agreement with echocardiography (higher than E/circumferential DSR and PC assessment) in all cases (kappa 0.75; p<0001) and cases with CMRI LVEF ≥50% (kappa 0.73; p<0.0001).

CONCLUSIONS:

CMRI-FT circumferential DSR showed the highest accuracy for determining diastolic dysfunction with good agreement with echocardiography. Circumferential DSR had higher accuracy than E/circumferential DSR and PC.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Cinemagnética / Insuficiencia Cardíaca Diastólica Tipo de estudio: Observational_studies / Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Cinemagnética / Insuficiencia Cardíaca Diastólica Tipo de estudio: Observational_studies / Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article