Cargando…

Significance of Cardiac Magnetic Resonance Feature Tracking of the Right Ventricle in Predicting Subclinical Dysfunction in Patients with Thalassemia Major

In patients with thalassemia major (TM), cardiac magnetic resonance feature-tracking (CMR-FT) has been shown to be an effective method for diagnosing subclinical left ventricular (LV) dysfunction. This study aimed to determine whether CMR-FT could detect abnormal RV dysfunction in patients with a no...

Descripción completa

Detalles Bibliográficos
Autores principales: Das, Karuna M., Baskaki, Usama M. A., Pulinchani, Anisha, Ali, Huthaifa M., Almanssori, Taleb M., Gorkom, Klaus Van, Das, Amrita, Dewedar, Hany, Sharma, Sanjiv
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406855/
https://www.ncbi.nlm.nih.gov/pubmed/36010270
http://dx.doi.org/10.3390/diagnostics12081920
_version_ 1784774223270510592
author Das, Karuna M.
Baskaki, Usama M. A.
Pulinchani, Anisha
Ali, Huthaifa M.
Almanssori, Taleb M.
Gorkom, Klaus Van
Das, Amrita
Dewedar, Hany
Sharma, Sanjiv
author_facet Das, Karuna M.
Baskaki, Usama M. A.
Pulinchani, Anisha
Ali, Huthaifa M.
Almanssori, Taleb M.
Gorkom, Klaus Van
Das, Amrita
Dewedar, Hany
Sharma, Sanjiv
author_sort Das, Karuna M.
collection PubMed
description In patients with thalassemia major (TM), cardiac magnetic resonance feature-tracking (CMR-FT) has been shown to be an effective method for diagnosing subclinical left ventricular (LV) dysfunction. This study aimed to determine whether CMR-FT could detect abnormal RV dysfunction in patients with a normal right ventricular ejection fraction (RVEF). We performed a retrospective analysis of TM patients admitted to Dubai’s Rashid Hospital between July 2019 and March 2021. The inclusion criteria were TM patients with SSFP cine with T2* (T2*-weighted imaging), while exclusion criteria included any other cardiovascular disease. When there was no myocardial iron overload (MIO) (T2* ≥ 20 ms) and when there was significant MIO (T2* < 20 ms), the CMR-FT was used to correlate with EF. Among the 89 participants, there were 46 men (51.7%) and 43 women (48.3%), with a mean age of 26.14 ± 7.4 years (range from 10 to 48 years). Forty-six patients (51.69%) did not have MIO, while 43 individuals did (48.31%). Thirty-nine patients (32.6%) were diagnosed with severe MIO, while seventeen (19.1%) were diagnosed with mild to moderate MIO. A significant correlation existed between RVEF and T2* values (r = 0.274, p = 0.014) and between left ventricular ejection fraction (LVEF) and T2* values (r = 0.256, p = 0.022). Using a multiple logistic regression model with predictors such as right ventricular longitudinal strain (RVGLS), LV ejection fraction (LV EF), and hemoglobin, abnormal myocardial iron overload can be predicted. This model demonstrates an AUC of 78.3%, a sensitivity of 72%, and a specificity of 76%. In the group with preserved RVEF > 53%, the left ventricular radial strain (LVGRS) (p = 0.001), right ventricular radial strain (RVGRS) (p = 0.000), and right ventricular basal circumferential strain (RVGCS-basal) (p = 0.000) CMR-FT strain values are significantly lower than those of the control group (p > 0.05). There was no significant correlation between the LVGLS and T2*. RVGLS was ranked among the most accurate predictors of abnormal myocardial iron overload. The LVGRS, RVGRS, and RVGCS-basal CMR-FT strain values were the best predictors of subclinical RV dysfunction in the group with preserved RVEF. The most accurate way to diagnose MIO is still T2*, but FT-strain can help us figure out how MIO affects the myocardium from a pathophysiological point of view.
format Online
Article
Text
id pubmed-9406855
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-94068552022-08-26 Significance of Cardiac Magnetic Resonance Feature Tracking of the Right Ventricle in Predicting Subclinical Dysfunction in Patients with Thalassemia Major Das, Karuna M. Baskaki, Usama M. A. Pulinchani, Anisha Ali, Huthaifa M. Almanssori, Taleb M. Gorkom, Klaus Van Das, Amrita Dewedar, Hany Sharma, Sanjiv Diagnostics (Basel) Article In patients with thalassemia major (TM), cardiac magnetic resonance feature-tracking (CMR-FT) has been shown to be an effective method for diagnosing subclinical left ventricular (LV) dysfunction. This study aimed to determine whether CMR-FT could detect abnormal RV dysfunction in patients with a normal right ventricular ejection fraction (RVEF). We performed a retrospective analysis of TM patients admitted to Dubai’s Rashid Hospital between July 2019 and March 2021. The inclusion criteria were TM patients with SSFP cine with T2* (T2*-weighted imaging), while exclusion criteria included any other cardiovascular disease. When there was no myocardial iron overload (MIO) (T2* ≥ 20 ms) and when there was significant MIO (T2* < 20 ms), the CMR-FT was used to correlate with EF. Among the 89 participants, there were 46 men (51.7%) and 43 women (48.3%), with a mean age of 26.14 ± 7.4 years (range from 10 to 48 years). Forty-six patients (51.69%) did not have MIO, while 43 individuals did (48.31%). Thirty-nine patients (32.6%) were diagnosed with severe MIO, while seventeen (19.1%) were diagnosed with mild to moderate MIO. A significant correlation existed between RVEF and T2* values (r = 0.274, p = 0.014) and between left ventricular ejection fraction (LVEF) and T2* values (r = 0.256, p = 0.022). Using a multiple logistic regression model with predictors such as right ventricular longitudinal strain (RVGLS), LV ejection fraction (LV EF), and hemoglobin, abnormal myocardial iron overload can be predicted. This model demonstrates an AUC of 78.3%, a sensitivity of 72%, and a specificity of 76%. In the group with preserved RVEF > 53%, the left ventricular radial strain (LVGRS) (p = 0.001), right ventricular radial strain (RVGRS) (p = 0.000), and right ventricular basal circumferential strain (RVGCS-basal) (p = 0.000) CMR-FT strain values are significantly lower than those of the control group (p > 0.05). There was no significant correlation between the LVGLS and T2*. RVGLS was ranked among the most accurate predictors of abnormal myocardial iron overload. The LVGRS, RVGRS, and RVGCS-basal CMR-FT strain values were the best predictors of subclinical RV dysfunction in the group with preserved RVEF. The most accurate way to diagnose MIO is still T2*, but FT-strain can help us figure out how MIO affects the myocardium from a pathophysiological point of view. MDPI 2022-08-09 /pmc/articles/PMC9406855/ /pubmed/36010270 http://dx.doi.org/10.3390/diagnostics12081920 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Das, Karuna M.
Baskaki, Usama M. A.
Pulinchani, Anisha
Ali, Huthaifa M.
Almanssori, Taleb M.
Gorkom, Klaus Van
Das, Amrita
Dewedar, Hany
Sharma, Sanjiv
Significance of Cardiac Magnetic Resonance Feature Tracking of the Right Ventricle in Predicting Subclinical Dysfunction in Patients with Thalassemia Major
title Significance of Cardiac Magnetic Resonance Feature Tracking of the Right Ventricle in Predicting Subclinical Dysfunction in Patients with Thalassemia Major
title_full Significance of Cardiac Magnetic Resonance Feature Tracking of the Right Ventricle in Predicting Subclinical Dysfunction in Patients with Thalassemia Major
title_fullStr Significance of Cardiac Magnetic Resonance Feature Tracking of the Right Ventricle in Predicting Subclinical Dysfunction in Patients with Thalassemia Major
title_full_unstemmed Significance of Cardiac Magnetic Resonance Feature Tracking of the Right Ventricle in Predicting Subclinical Dysfunction in Patients with Thalassemia Major
title_short Significance of Cardiac Magnetic Resonance Feature Tracking of the Right Ventricle in Predicting Subclinical Dysfunction in Patients with Thalassemia Major
title_sort significance of cardiac magnetic resonance feature tracking of the right ventricle in predicting subclinical dysfunction in patients with thalassemia major
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406855/
https://www.ncbi.nlm.nih.gov/pubmed/36010270
http://dx.doi.org/10.3390/diagnostics12081920
work_keys_str_mv AT daskarunam significanceofcardiacmagneticresonancefeaturetrackingoftherightventricleinpredictingsubclinicaldysfunctioninpatientswiththalassemiamajor
AT baskakiusamama significanceofcardiacmagneticresonancefeaturetrackingoftherightventricleinpredictingsubclinicaldysfunctioninpatientswiththalassemiamajor
AT pulinchanianisha significanceofcardiacmagneticresonancefeaturetrackingoftherightventricleinpredictingsubclinicaldysfunctioninpatientswiththalassemiamajor
AT alihuthaifam significanceofcardiacmagneticresonancefeaturetrackingoftherightventricleinpredictingsubclinicaldysfunctioninpatientswiththalassemiamajor
AT almanssoritalebm significanceofcardiacmagneticresonancefeaturetrackingoftherightventricleinpredictingsubclinicaldysfunctioninpatientswiththalassemiamajor
AT gorkomklausvan significanceofcardiacmagneticresonancefeaturetrackingoftherightventricleinpredictingsubclinicaldysfunctioninpatientswiththalassemiamajor
AT dasamrita significanceofcardiacmagneticresonancefeaturetrackingoftherightventricleinpredictingsubclinicaldysfunctioninpatientswiththalassemiamajor
AT dewedarhany significanceofcardiacmagneticresonancefeaturetrackingoftherightventricleinpredictingsubclinicaldysfunctioninpatientswiththalassemiamajor
AT sharmasanjiv significanceofcardiacmagneticresonancefeaturetrackingoftherightventricleinpredictingsubclinicaldysfunctioninpatientswiththalassemiamajor