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Impact of incomplete ventricular coverage on diagnostic performance of myocardial perfusion imaging
In the context of myocardial perfusion imaging (MPI) with cardiac magnetic resonance (CMR), there is ongoing debate on the merits of using technically complex acquisition methods to achieve whole-heart spatial coverage, rather than conventional 3-slice acquisition. An adequately powered comparative...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859027/ https://www.ncbi.nlm.nih.gov/pubmed/29197024 http://dx.doi.org/10.1007/s10554-017-1265-1 |
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author | Sharif, Behzad Motwani, Manish Arsanjani, Reza Dharmakumar, Rohan Fish, Mathews B. Germano, Guido Li, Debiao Berman, Daniel S. Slomka, Piotr |
author_facet | Sharif, Behzad Motwani, Manish Arsanjani, Reza Dharmakumar, Rohan Fish, Mathews B. Germano, Guido Li, Debiao Berman, Daniel S. Slomka, Piotr |
author_sort | Sharif, Behzad |
collection | PubMed |
description | In the context of myocardial perfusion imaging (MPI) with cardiac magnetic resonance (CMR), there is ongoing debate on the merits of using technically complex acquisition methods to achieve whole-heart spatial coverage, rather than conventional 3-slice acquisition. An adequately powered comparative study is difficult to achieve given the requirement for two separate stress CMR studies in each patient. The aim of this work is to draw relevant conclusions from SPECT MPI by comparing whole-heart versus simulated 3-slice coverage in a large existing dataset. SPECT data from 651 patients with suspected coronary artery disease who underwent invasive angiography were analyzed. A computational approach was designed to model 3-slice MPI by retrospective subsampling of whole- heart data. For both whole-heart and 3-slice approaches, the diagnostic performance and the stress total perfusion deficit (TPD) score—a measure of ischemia extent/severity—were quantified and compared. Diagnostic accuracy for the 3-slice and whole-heart approaches were similar (area under the curve: 0.843 vs. 0.855, respectively; P = 0.07). The majority (54%) of cases missed by 3-slice imaging had primarily apical ischemia. Whole-heart and 3-slice TPD scores were strongly correlated (R(2) = 0.93, P < 0.001) but 3-slice TPD showed a small yet significant bias compared to whole-heart TPD (− 1.19%; P < 0.0001) and the 95% limits of agreement were relatively wide (− 6.65% to 4.27%). Incomplete ventricular coverage typically acquired in 3-slice CMR MPI does not significantly affect the diagnostic accuracy. However, 3-slice MPI may fail to detect severe apical ischemia and underestimate the extent/severity of perfusion defects. Our results suggest that caution is required when comparing the ischemic burden between 3-slice and whole-heart datasets, and corroborate the need to establish prognostic thresholds specific to each approach. |
format | Online Article Text |
id | pubmed-5859027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-58590272018-03-22 Impact of incomplete ventricular coverage on diagnostic performance of myocardial perfusion imaging Sharif, Behzad Motwani, Manish Arsanjani, Reza Dharmakumar, Rohan Fish, Mathews B. Germano, Guido Li, Debiao Berman, Daniel S. Slomka, Piotr Int J Cardiovasc Imaging Original Paper In the context of myocardial perfusion imaging (MPI) with cardiac magnetic resonance (CMR), there is ongoing debate on the merits of using technically complex acquisition methods to achieve whole-heart spatial coverage, rather than conventional 3-slice acquisition. An adequately powered comparative study is difficult to achieve given the requirement for two separate stress CMR studies in each patient. The aim of this work is to draw relevant conclusions from SPECT MPI by comparing whole-heart versus simulated 3-slice coverage in a large existing dataset. SPECT data from 651 patients with suspected coronary artery disease who underwent invasive angiography were analyzed. A computational approach was designed to model 3-slice MPI by retrospective subsampling of whole- heart data. For both whole-heart and 3-slice approaches, the diagnostic performance and the stress total perfusion deficit (TPD) score—a measure of ischemia extent/severity—were quantified and compared. Diagnostic accuracy for the 3-slice and whole-heart approaches were similar (area under the curve: 0.843 vs. 0.855, respectively; P = 0.07). The majority (54%) of cases missed by 3-slice imaging had primarily apical ischemia. Whole-heart and 3-slice TPD scores were strongly correlated (R(2) = 0.93, P < 0.001) but 3-slice TPD showed a small yet significant bias compared to whole-heart TPD (− 1.19%; P < 0.0001) and the 95% limits of agreement were relatively wide (− 6.65% to 4.27%). Incomplete ventricular coverage typically acquired in 3-slice CMR MPI does not significantly affect the diagnostic accuracy. However, 3-slice MPI may fail to detect severe apical ischemia and underestimate the extent/severity of perfusion defects. Our results suggest that caution is required when comparing the ischemic burden between 3-slice and whole-heart datasets, and corroborate the need to establish prognostic thresholds specific to each approach. Springer Netherlands 2017-12-01 2018 /pmc/articles/PMC5859027/ /pubmed/29197024 http://dx.doi.org/10.1007/s10554-017-1265-1 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper Sharif, Behzad Motwani, Manish Arsanjani, Reza Dharmakumar, Rohan Fish, Mathews B. Germano, Guido Li, Debiao Berman, Daniel S. Slomka, Piotr Impact of incomplete ventricular coverage on diagnostic performance of myocardial perfusion imaging |
title | Impact of incomplete ventricular coverage on diagnostic performance of myocardial perfusion imaging |
title_full | Impact of incomplete ventricular coverage on diagnostic performance of myocardial perfusion imaging |
title_fullStr | Impact of incomplete ventricular coverage on diagnostic performance of myocardial perfusion imaging |
title_full_unstemmed | Impact of incomplete ventricular coverage on diagnostic performance of myocardial perfusion imaging |
title_short | Impact of incomplete ventricular coverage on diagnostic performance of myocardial perfusion imaging |
title_sort | impact of incomplete ventricular coverage on diagnostic performance of myocardial perfusion imaging |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859027/ https://www.ncbi.nlm.nih.gov/pubmed/29197024 http://dx.doi.org/10.1007/s10554-017-1265-1 |
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