In Vivo Longitudinal Monitoring of Cardiac Remodeling in Murine Ischemia Models With Adaptive Bayesian Regularized Cardiac Strain Imaging: Validation Against Histology.

Autor: Mukaddim RA; Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA. Electronic address: mukaddim@wisc.edu., Weichmann AM; Small Animal Imaging and Radiotherapy Facility, University of Wisconsin-Madison, Madison, Wisconsin, USA., Taylor R; Cardiovascular Physiology Core Facility, University of Wisconsin-Madison, Madison, Wisconsin, USA., Hacker TA; Cardiovascular Physiology Core Facility, University of Wisconsin-Madison, Madison, Wisconsin, USA., Pier T; Experimental Animal Pathology Lab, University of Wisconsin-Madison, Madison, Wisconsin, USA., Hardin J; Experimental Animal Pathology Lab, University of Wisconsin-Madison, Madison, Wisconsin, USA., Graham M; Comparative Pathology Laboratory, Research Animal Resources and Compliance (RARC), University of Wisconsin-Madison, Madison, Wisconsin, USA., Casper EM; University of Wisconsin Hospitals and Clinics, UW Health, University of Wisconsin-Madison, Madison, Wisconsin, USA., Mitchell CC; Medicine/Division of Cardiovascular Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA., Varghese T; Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jazyk: angličtina
Zdroj: Ultrasound in medicine & biology [Ultrasound Med Biol] 2023 Jan; Vol. 49 (1), pp. 45-61. Date of Electronic Publication: 2022 Sep 30.
DOI: 10.1016/j.ultrasmedbio.2022.07.012
Abstrakt: Adaptive Bayesian regularized cardiac strain imaging (ABR-CSI) uses raw radiofrequency signals to estimate myocardial wall contractility as a surrogate measure of relative tissue elasticity incorporating regularization in the Bayesian sense. We determined the feasibility of using ABR-CSI -derived strain for in vivo longitudinal monitoring of cardiac remodeling in a murine ischemic injury model (myocardial infarction [MI] and ischemia-reperfusion [IR]) and validated the findings against ground truth histology. We randomly stratified 30 BALB/CJ mice (17 females, 13 males, median age = 10 wk) into three surgical groups (MI = 10, IR = 12, sham = 8) and imaged pre-surgery (baseline) and 1, 2, 7 and 14 d post-surgery using a pre-clinical high-frequency ultrasound system (VisualSonics Vevo 2100). We then used ABR-CSI to estimate end-systolic and peak radial (e r ) and longitudinal (e l ) strain estimates. ABR-CSI was found to have the ability to serially monitor non-uniform cardiac remodeling associated with murine MI and IR non-invasively through temporal variation of strain estimates post-surgery. Furthermore, radial end-systole (ES) strain images and segmental strain curves exhibited improved discrimination among infarct, border and remote regions around the myocardium compared with longitudinal strain results. For example, the MI group had significantly lower (Friedman's with Bonferroni-Dunn test, p = 0.002) ES e r values in the anterior middle (infarcted) region at day 14 (n = 9, 9.23 ± 7.39%) compared with the BL group (n = 9, 44.32 ± 5.49). In contrast, anterior basal (remote region) mean ES e r values did not differ significantly (non-significant Friedman's test, χ 2  = 8.93, p = 0.06) at day 14 (n = 6, 33.05 ± 6.99%) compared with baseline (n = 6, 34.02 ± 6.75%). Histology slides stained with Masson's trichrome (MT) together with a machine learning model (random forest classifier) were used to derive the ground truth cardiac fibrosis parameter termed histology percentage of myocardial fibrosis (PMF). Both radial and longitudinal strain were found to have strong statistically significant correlations with the PMF parameter. However, radial strain had a higher Spearman's correlation value (ε r es ρ = -0.67, n = 172, p < 0.001) compared with longitudinal strain (ε l es ρ = -0.60, n = 172, p < 0.001). Overall, the results of this study indicate that ABR-CSI can reliably perform non-invasive detection of infarcted and remote myocardium in small animal studies.
(Copyright © 2022 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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