Does EDPVR Represent Myocardial Tissue Stiffness? Toward a Better Definition
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866911963785723904 |
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| author | Mehdi, Rana Raza Mendiola, Emilio A. Naeini, Vahid Choudhary, Gaurav Avazmohammadi, Reza |
| author_facet | Mehdi, Rana Raza Mendiola, Emilio A. Naeini, Vahid Choudhary, Gaurav Avazmohammadi, Reza |
| contents | Accurate assessment of myocardial tissue stiffness is pivotal for the diagnosis and prognosis of heart diseases. Left ventricular diastolic stiffness ($β$) obtained from the end-diastolic pressure-volume relationship (EDPVR) has conventionally been utilized as a representative metric of myocardial stiffness. The EDPVR can be employed to estimate the intrinsic stiffness of myocardial tissues through image-based in-silico inverse optimization. However, whether $β$, as an organ-level metric, accurately represents the tissue-level myocardial tissue stiffness in healthy and diseased myocardium remains elusive. We developed a modeling-based approach utilizing a two-parameter material model for the myocardium (denoted by $a_f$ and $b_f$) in image-based in-silico biventricular heart models to generate EDPVRs for different material parameters. Our results indicated a variable relationship between $β$ and the material parameters depending on the range of the parameters. Interestingly, $β$ showed a very low sensitivity to $a_f$, once averaged across several LV geometries, and even a negative correlation with $a_f$ for small values of $a_f$. These findings call for a critical assessment of the reliability and confoundedness of EDPVR-derived metrics to represent tissue-level myocardial stiffness. Our results also underscore the necessity to explore image-based in-silico frameworks, promising to provide a high-fidelity and potentially non-invasive assessment of myocardial stiffness. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2407_15254 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Does EDPVR Represent Myocardial Tissue Stiffness? Toward a Better Definition Mehdi, Rana Raza Mendiola, Emilio A. Naeini, Vahid Choudhary, Gaurav Avazmohammadi, Reza Medical Physics Tissues and Organs Accurate assessment of myocardial tissue stiffness is pivotal for the diagnosis and prognosis of heart diseases. Left ventricular diastolic stiffness ($β$) obtained from the end-diastolic pressure-volume relationship (EDPVR) has conventionally been utilized as a representative metric of myocardial stiffness. The EDPVR can be employed to estimate the intrinsic stiffness of myocardial tissues through image-based in-silico inverse optimization. However, whether $β$, as an organ-level metric, accurately represents the tissue-level myocardial tissue stiffness in healthy and diseased myocardium remains elusive. We developed a modeling-based approach utilizing a two-parameter material model for the myocardium (denoted by $a_f$ and $b_f$) in image-based in-silico biventricular heart models to generate EDPVRs for different material parameters. Our results indicated a variable relationship between $β$ and the material parameters depending on the range of the parameters. Interestingly, $β$ showed a very low sensitivity to $a_f$, once averaged across several LV geometries, and even a negative correlation with $a_f$ for small values of $a_f$. These findings call for a critical assessment of the reliability and confoundedness of EDPVR-derived metrics to represent tissue-level myocardial stiffness. Our results also underscore the necessity to explore image-based in-silico frameworks, promising to provide a high-fidelity and potentially non-invasive assessment of myocardial stiffness. |
| title | Does EDPVR Represent Myocardial Tissue Stiffness? Toward a Better Definition |
| topic | Medical Physics Tissues and Organs |
| url | https://arxiv.org/abs/2407.15254 |