Document Type

Article

Publication Date

3-1-2019

Department

Computing

School

Computing Sciences and Computer Engineering

Abstract

Aim The aim of this study is to develop and validate a new method to diagnose apical hypertrophic cardiomyopathy (AHCM) by the integral quantitative analysis of myocardial perfusion and wall thickening from gated single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI).

Patients and methods Twenty-two consecutive patients, who showed T wave inversion of at least 3 mm in precordial leads and sinus rhythm in ECG, were enrolled. All the patients underwent cardiac magnetic resonance (CMR), gated rest SPECT MPI and echocardiography. According to CMR diagnostic results, 13 patients were categorized as in the AHCM group and the remaining nine patients were categorized as in the non-AHCM group. Operators who were blinded to the CMR diagnosis independently performed the diagnosis by gated SPECT MPI. The regions of interest inside the apical hotspots on the perfusion polar map were drawn and the mean values of wall thickening in the drawn region of interests were calculated. Using MRI diagnosis as the gold standard, AHCM was diagnosed based on receiver operating characteristic analysis of the mean wall thickening in the apical perfusion hotspot. The area under curve, sensitivity, specificity, and accuracy of our method were 0.97, 100, 89, and 95%, respectively.

Conclusion Our new method has high sensitivity, specificity, and accuracy against CMR diagnosis. It has great promise to become a clinical tool in the diagnosis of AHCM.

Comments

This is the peer reviewed version of the following article: "Development and Validation of a New Method to Diagnose Apical Hypertrophic Cardiomyopathy by Gated Single-Photon Emission Computed Tomography Myocardial Perfusion Imaging," which has been published in final form at 10.1097/MNM.0000000000000967.

Publication Title

Nuclear Medicine Communications

Volume

40

Issue

3

First Page

206

Last Page

211

Available for download on Monday, January 06, 2020

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