Cargando…

Prediction of Cardiac Resynchronization Therapy Response Using Quantitative Gated Myocardial Perfusion Imaging

Conventional selection criteria are not consistently able to discriminate between responders and non-responders to cardiac resynchronization therapy (CRT). The objective of this study was to evaluate the usefulness of quantitative gated single-photon emission computed tomography (SPECT) in predictin...

Descripción completa

Detalles Bibliográficos
Autores principales: Abdellatif, Yasser A., Onsy, Ahmad M., Eldemerdash, Salah Eldin H., Rayan, Mona M., Abu Shouk, Hesham M., Badran, Haitham A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MediaSphere Medical 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198296/
https://www.ncbi.nlm.nih.gov/pubmed/37213888
http://dx.doi.org/10.19102/icrm.2023.14014
_version_ 1785044717345439744
author Abdellatif, Yasser A.
Onsy, Ahmad M.
Eldemerdash, Salah Eldin H.
Rayan, Mona M.
Abu Shouk, Hesham M.
Badran, Haitham A.
author_facet Abdellatif, Yasser A.
Onsy, Ahmad M.
Eldemerdash, Salah Eldin H.
Rayan, Mona M.
Abu Shouk, Hesham M.
Badran, Haitham A.
author_sort Abdellatif, Yasser A.
collection PubMed
description Conventional selection criteria are not consistently able to discriminate between responders and non-responders to cardiac resynchronization therapy (CRT). The objective of this study was to evaluate the usefulness of quantitative gated single-photon emission computed tomography (SPECT) in predicting the response to CRT. This prospective cross-sectional study included 25 patients with advanced congestive heart failure who underwent quantitative gated SPECT before and after CRT implantation. Patients with the left ventricular (LV) lead positioned at the latest activation segment away from the scar had a significantly higher chance of responding than those with the lead positioned at a different area. Responders were likely to have a phase standard deviation (PSD) value of >33°, with 86.6% sensitivity and 90% specificity, and a phase histogram bandwidth (PHB) value of >153°, with 100% sensitivity and 80% specificity. Quantitative gated SPECT can help refine patient selection for CRT implantation, using PSD and PHB cutoff points, in addition to guiding the positioning of the LV lead.
format Online
Article
Text
id pubmed-10198296
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MediaSphere Medical
record_format MEDLINE/PubMed
spelling pubmed-101982962023-05-20 Prediction of Cardiac Resynchronization Therapy Response Using Quantitative Gated Myocardial Perfusion Imaging Abdellatif, Yasser A. Onsy, Ahmad M. Eldemerdash, Salah Eldin H. Rayan, Mona M. Abu Shouk, Hesham M. Badran, Haitham A. J Innov Card Rhythm Manag Original Research Conventional selection criteria are not consistently able to discriminate between responders and non-responders to cardiac resynchronization therapy (CRT). The objective of this study was to evaluate the usefulness of quantitative gated single-photon emission computed tomography (SPECT) in predicting the response to CRT. This prospective cross-sectional study included 25 patients with advanced congestive heart failure who underwent quantitative gated SPECT before and after CRT implantation. Patients with the left ventricular (LV) lead positioned at the latest activation segment away from the scar had a significantly higher chance of responding than those with the lead positioned at a different area. Responders were likely to have a phase standard deviation (PSD) value of >33°, with 86.6% sensitivity and 90% specificity, and a phase histogram bandwidth (PHB) value of >153°, with 100% sensitivity and 80% specificity. Quantitative gated SPECT can help refine patient selection for CRT implantation, using PSD and PHB cutoff points, in addition to guiding the positioning of the LV lead. MediaSphere Medical 2023-01-15 /pmc/articles/PMC10198296/ /pubmed/37213888 http://dx.doi.org/10.19102/icrm.2023.14014 Text en Copyright: © 2023 Innovations in Cardiac Rhythm Management https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Abdellatif, Yasser A.
Onsy, Ahmad M.
Eldemerdash, Salah Eldin H.
Rayan, Mona M.
Abu Shouk, Hesham M.
Badran, Haitham A.
Prediction of Cardiac Resynchronization Therapy Response Using Quantitative Gated Myocardial Perfusion Imaging
title Prediction of Cardiac Resynchronization Therapy Response Using Quantitative Gated Myocardial Perfusion Imaging
title_full Prediction of Cardiac Resynchronization Therapy Response Using Quantitative Gated Myocardial Perfusion Imaging
title_fullStr Prediction of Cardiac Resynchronization Therapy Response Using Quantitative Gated Myocardial Perfusion Imaging
title_full_unstemmed Prediction of Cardiac Resynchronization Therapy Response Using Quantitative Gated Myocardial Perfusion Imaging
title_short Prediction of Cardiac Resynchronization Therapy Response Using Quantitative Gated Myocardial Perfusion Imaging
title_sort prediction of cardiac resynchronization therapy response using quantitative gated myocardial perfusion imaging
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198296/
https://www.ncbi.nlm.nih.gov/pubmed/37213888
http://dx.doi.org/10.19102/icrm.2023.14014
work_keys_str_mv AT abdellatifyassera predictionofcardiacresynchronizationtherapyresponseusingquantitativegatedmyocardialperfusionimaging
AT onsyahmadm predictionofcardiacresynchronizationtherapyresponseusingquantitativegatedmyocardialperfusionimaging
AT eldemerdashsalaheldinh predictionofcardiacresynchronizationtherapyresponseusingquantitativegatedmyocardialperfusionimaging
AT rayanmonam predictionofcardiacresynchronizationtherapyresponseusingquantitativegatedmyocardialperfusionimaging
AT abushoukheshamm predictionofcardiacresynchronizationtherapyresponseusingquantitativegatedmyocardialperfusionimaging
AT badranhaithama predictionofcardiacresynchronizationtherapyresponseusingquantitativegatedmyocardialperfusionimaging