Publication

Myocardial perfusion imaging-derived left ventricular strain: Regional abnormalities associated with transthyretin cardiac amyloidosis

Downloadable Content

Persistent URL
Last modified
  • 06/25/2025
Type of Material
Authors
    Steven Lewis, Emory UniversityJingwen Huang, Emory UniversityNidhi Patel, Emory UniversityRussell Folks, Emory UniversityJames Galt, Emory UniversityC. David Cooke, Emory UniversityZiduo Zheng, Emory UniversityRebecca Zhang, Emory UniversityErnest Garcia, Emory UniversityJonathon Nye, Emory UniversityMarina Piccinelli, Emory UniversityValeria M. Moncayo, Emory UniversityKunal Nikhil Bhatt, Emory UniversityAdam Mitchell, Emory University
Language
  • English
Date
  • 2024-04
Publisher
  • Elsevier
Publication Version
Copyright Statement
  • © 2024 The Authors
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 40
Start Page
  • 100377
Grant/Funding Information
  • This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Abstract
  • Background Transthyretin (ATTR) cardiac amyloidosis is associated with an apical-sparing strain pattern on TTE. We hypothesize that strain indices derived from myocardial perfusion imaging (MPI) can identify this abnormality. Methods A group with ATTR amyloidosis was compared to age-matched controls with LVH but without amyloidosis who underwent PET or SPECT MPI. Strain values were used to calculate the apical strain index (ASI), apex-to-base ratio (ABR), and ejection fraction to global strain ratio in multiple planes. Results A direct comparison using Welch's t-tests reveals 6 statistically significant metrics. After regression analysis, the circumferential ASI and ABR at rest remain significantly greater in the ATTR group compared to controls. Conclusion MPI-derived strain from the circumferential plane at rest may distinguish cardiac amyloidosis from other forms of LVH. If these findings are confirmed with validation studies, routine MPI-derived strain analysis could identify patients with subclinical amyloidosis who may benefit from further testing.
Author Notes
Keywords
Research Categories
  • Health Sciences, Medicine and Surgery
  • Health Sciences, Radiology

Tools

Relations

In Collection:

Items