Regional 4D Cardiac Magnetic Resonance Strain Predicts Cardiomyopathy Progression in Duchenne Muscular Dystrophy.
Diastolic dysfunction
Duchenne muscular dystrophy
Left ventricular function
cardiomyopathy
gadolinium
progression
strain
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
08 Nov 2023
08 Nov 2023
Historique:
pubmed:
21
11
2023
medline:
21
11
2023
entrez:
21
11
2023
Statut:
epublish
Résumé
Cardiomyopathy (CMP) is the leading cause of death in Duchenne muscular dystrophy (DMD). Characterization of disease trajectory can be challenging, especially in the early stage of CMP where onset and clinical progression may vary. Traditional metrics from cardiovascular magnetic resonance (CMR) imaging such as LVEF (left ventricular ejection fraction) and LGE (late gadolinium enhancement) are often insufficient for assessing disease trajectory. We hypothesized that strain patterns from a novel 4D (3D+time) CMR regional strain analysis method can be used to predict the rate of DMD CMP progression. We compiled 115 short-axis cine CMR image stacks for n=40 pediatric DMD patients (13.6±4.2 years) imaged yearly for 3 consecutive visits and computed regional strain metrics using custom-built feature tracking software. We measured regional strain parameters by determining the relative change in the localized 4D endocardial surface mesh using end diastole as the initial reference frame. We first separated patients into two cohorts based on their initial CMR: LVEF≥55% (n=28, normal cohort) and LVEF<55% (n=12, abnormal cohort). Using LVEF decrease measured two years following the initial scan, we further subclassified these cohorts into slow (ΔLVEF%≤5) or fast (ΔLVEF%>5) progression groups for both the normal cohort (n=12, slow; n=15, fast) and the abnormal cohort (n=8, slow; n=4, fast). There was no statistical difference between the slow and fast progression groups in standard biomarkers such as LVEF, age, or LGE status. However, basal circumferential strain (E Regional strain metrics from 4D CMR can be used to differentiate between slow or fast CMP progression in a longitudinal DMD cohort. These results demonstrate that 4D CMR strain is useful for early identification of CMP progression in patients with DMD. Cardiomyopathy is the number one cause of death in Duchenne muscular dystrophy, but the onset and progression of the disease are variable and heterogeneous. In this study, we used a novel 4D cardiovascular magnetic resonance regional strain analysis method to evaluate 40 pediatric Duchenne patients over three consecutive annual visits. From our analysis, we found that peak systolic strain and late diastolic strain rate were early indicators of cardiomyopathy progression. This method offers promise for early detection and monitoring, potentially improving patient outcomes through timely intervention and management.
Sections du résumé
Background
UNASSIGNED
Cardiomyopathy (CMP) is the leading cause of death in Duchenne muscular dystrophy (DMD). Characterization of disease trajectory can be challenging, especially in the early stage of CMP where onset and clinical progression may vary. Traditional metrics from cardiovascular magnetic resonance (CMR) imaging such as LVEF (left ventricular ejection fraction) and LGE (late gadolinium enhancement) are often insufficient for assessing disease trajectory. We hypothesized that strain patterns from a novel 4D (3D+time) CMR regional strain analysis method can be used to predict the rate of DMD CMP progression.
Methods
UNASSIGNED
We compiled 115 short-axis cine CMR image stacks for n=40 pediatric DMD patients (13.6±4.2 years) imaged yearly for 3 consecutive visits and computed regional strain metrics using custom-built feature tracking software. We measured regional strain parameters by determining the relative change in the localized 4D endocardial surface mesh using end diastole as the initial reference frame.
Results
UNASSIGNED
We first separated patients into two cohorts based on their initial CMR: LVEF≥55% (n=28, normal cohort) and LVEF<55% (n=12, abnormal cohort). Using LVEF decrease measured two years following the initial scan, we further subclassified these cohorts into slow (ΔLVEF%≤5) or fast (ΔLVEF%>5) progression groups for both the normal cohort (n=12, slow; n=15, fast) and the abnormal cohort (n=8, slow; n=4, fast). There was no statistical difference between the slow and fast progression groups in standard biomarkers such as LVEF, age, or LGE status. However, basal circumferential strain (E
Conclusion
UNASSIGNED
Regional strain metrics from 4D CMR can be used to differentiate between slow or fast CMP progression in a longitudinal DMD cohort. These results demonstrate that 4D CMR strain is useful for early identification of CMP progression in patients with DMD.
Clinical Perspective
UNASSIGNED
Cardiomyopathy is the number one cause of death in Duchenne muscular dystrophy, but the onset and progression of the disease are variable and heterogeneous. In this study, we used a novel 4D cardiovascular magnetic resonance regional strain analysis method to evaluate 40 pediatric Duchenne patients over three consecutive annual visits. From our analysis, we found that peak systolic strain and late diastolic strain rate were early indicators of cardiomyopathy progression. This method offers promise for early detection and monitoring, potentially improving patient outcomes through timely intervention and management.
Identifiants
pubmed: 37986975
doi: 10.1101/2023.11.07.23298238
pmc: PMC10659514
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NCATS NIH HHS
ID : UL1 TR000445
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002529
Pays : United States
Organisme : FDA HHS
ID : R01 FD006649
Pays : United States
Organisme : NHLBI NIH HHS
ID : F30 HL162452
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR024975
Pays : United States
Organisme : NHLBI NIH HHS
ID : R56 HL141248
Pays : United States
Organisme : NHLBI NIH HHS
ID : K23 HL123938
Pays : United States
Références
Int J Mol Sci. 2019 Aug 22;20(17):
pubmed: 31443395
Circulation. 2022 May 3;145(18):e895-e1032
pubmed: 35363499
J Am Soc Echocardiogr. 2006 Jul;19(7):865-71
pubmed: 16824995
Int J Cardiovasc Imaging. 2020 Oct;36(10):1907-1916
pubmed: 32507994
Int J Cardiovasc Imaging. 2009 Jan;25(1):57-63
pubmed: 18686011
Am J Physiol Heart Circ Physiol. 2022 Mar 1;322(3):H359-H372
pubmed: 34995167
Front Physiol. 2023 Jun 26;14:1183101
pubmed: 37435300
ERJ Open Res. 2023 Sep 18;9(5):
pubmed: 37727676
Curr Heart Fail Rep. 2020 Jun;17(3):57-66
pubmed: 32270339
Acta Physiol (Oxf). 2023 Jun;238(2):e13933
pubmed: 36625322
Circulation. 2002 Jan 29;105(4):539-42
pubmed: 11815441
Eur J Epidemiol. 2020 Jul;35(7):643-653
pubmed: 32107739
J Cardiovasc Magn Reson. 2021 Apr 29;23(1):48
pubmed: 33910579
Int J Cardiol. 2023 Oct 1;388:131162
pubmed: 37433407
Pediatr Cardiol. 2015 Jan;36(1):111-9
pubmed: 25085262
J Cardiovasc Magn Reson. 2023 Feb 16;25(1):14
pubmed: 36793101
Am J Physiol Heart Circ Physiol. 2021 Jul 1;321(1):H197-H207
pubmed: 34085843
Pediatr Pulmonol. 2021 Apr;56(4):766-781
pubmed: 33651923
J Clin Invest. 1975 Jul;56(1):56-64
pubmed: 124746
Curr Heart Fail Rep. 2021 Aug;18(4):211-224
pubmed: 34319529
Front Cardiovasc Med. 2022 Nov 23;9:1031205
pubmed: 36505382
Orphanet J Rare Dis. 2020 Jun 5;15(1):141
pubmed: 32503598
Front Pediatr. 2022 Mar 14;10:818608
pubmed: 35359887
Circ Cardiovasc Imaging. 2020 Nov;13(11):e011526
pubmed: 33190531
Orphanet J Rare Dis. 2017 Apr 26;12(1):79
pubmed: 28446219