Literature DB >> 31254595

Can post-chemotherapy cardiotoxicity be detected in long-term survivors of breast cancer via comprehensive 3D left-ventricular contractility (strain) analysis?

Julia Kar1, Michael V Cohen2, Samuel A McQuiston3, Maria S Figarola3, Christopher M Malozzi2.   

Abstract

PURPOSE: This study applied a novel and automated contractility analysis tool to investigate possible cardiotoxicity-related left-ventricular (LV) dysfunction in breast cancer patients following treatment with anti-neoplastic chemotherapy agents (CTA). Subclinical dysfunction otherwise undetected via LV ejection fraction (LVEF) was determined.
METHODS: Deformation data were acquired with the Displacement Encoding with Stimulated Echoes (DENSE) MRI sequence on 16 female patients who had CTA-based treatment. The contractility analysis tool consisting of image quantization-based boundary detection and the meshfree Radial Point Interpolation Method was used to compare chamber quantifications, 3D regional strains and torsion between patients and healthy subjects (N = 26 females with N = 14 age-matched). Quantifications of patient LVEFs from DENSE and Steady-State Free Precession (SSFP) acquisitions were compared, Bland-Altman interobserver agreements measured on their strain results and differences in contractile parameters with healthy subjects determined via Student's t-tests.
RESULTS: A significant difference was not found between DENSE and SSFP-based patient LVEFs at 58 ± 7% vs 57 ± 9%, p = 0.6. Bland-Altman agreements were - 0.01 ± 0.05 for longitudinal strain and 0.1 ± 1.3° for torsion. Differences in basal diameter indicating enlargement, 5.2 ± 0.5 cm vs 4.5 ± 0.5 cm, p < 0.01, and torsion, 4.7 ± 1.0° vs 8.1 ± 1.1°, p < 0.001 in the mid-ventricle and 5.9 ± 1.2° vs 10.2 ± 0.9°, p < 0.001 apically, were seen between patients and age-matched healthy subjects and similarly in longitudinal strain, but not in LVEF.
CONCLUSIONS: Results from the statistical analysis reveal the likelihood of LV remodeling in this patient subpopulation otherwise not indicated by LVEF measurements. Published by Elsevier Inc.

Entities:  

Keywords:  3D strain; Breast Cancer; Cardiotoxicity; DENSE; LVEF; Left-ventricular contractility; RPIM

Mesh:

Substances:

Year:  2019        PMID: 31254595     DOI: 10.1016/j.mri.2019.06.020

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  4 in total

1.  Comprehensive enhanced methodology of an MRI-based automated left-ventricular chamber quantification algorithm and validation in chemotherapy-related cardiotoxicity.

Authors:  Julia Kar; Michael V Cohen; Samuel A McQuiston; Christopher M Malozzi
Journal:  J Med Imaging (Bellingham)       Date:  2020-11-16

2.  Validation of a deep-learning semantic segmentation approach to fully automate MRI-based left-ventricular deformation analysis in cardiotoxicity.

Authors:  Julia Karr; Michael Cohen; Samuel A McQuiston; Teja Poorsala; Christopher Malozzi
Journal:  Br J Radiol       Date:  2021-02-24       Impact factor: 3.039

3.  A deep-learning semantic segmentation approach to fully automated MRI-based left-ventricular deformation analysis in cardiotoxicity.

Authors:  By Julia Kar; Michael V Cohen; Samuel P McQuiston; Christopher M Malozzi
Journal:  Magn Reson Imaging       Date:  2021-02-08       Impact factor: 2.546

4.  Direct left-ventricular global longitudinal strain (GLS) computation with a fully convolutional network.

Authors:  Julia Kar; Michael V Cohen; Samuel A McQuiston; Teja Poorsala; Christopher M Malozzi
Journal:  J Biomech       Date:  2021-11-27       Impact factor: 2.712

  4 in total

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