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Record W4229446367 · doi:10.1016/j.xjon.2022.05.004

Reply from authors: Toward physiologically meaningful biomechanical parameters from ex vivo biaxial testing

2022· article· en· W4229446367 on OpenAlexafffundabout
Miriam Nightingale, Taisiya Sigaeva, Elena S. Di Martino

Bibliographic record

VenueJTCVS Open · 2022
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsUniversity of WaterlooLibin Cardiovascular Institute of AlbertaUniversity of Calgary
FundersNational Heart, Lung, and Blood InstituteNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthUniversity of Calgary
KeywordsEx vivoBiomechanicsMedicineIn vivoAnatomyBiology

Abstract

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The authors reported no conflicts of interest. The Journal policy requires editors and reviewers to disclose conflicts of interest and to decline handling or reviewing manuscripts for which they may have a conflict of interest. The editors and reviewers of this article have no conflicts of interest. Stemming from the Commentary by Tang and colleagues1Tang M. Simmons C.A. Chung J.C.Y. Searching for a physiologically meaningful parameter for aortic biomechanics—is energy loss the way?.J Thorac Cardiovasc Surg Open. 2022; 10: 123-124Scopus (2) Google Scholar on our article,2Nightingale M. Gregory A. Sigaeva T. Dobson G.M. Fedak P.W.M. Appoo J.J. et al.Biomechanics in ascending aortic aneurysms correlate with tissue composition and strength.J Thorac Cardiovasc Surg Open. 2022; 9: 1-10Scopus (6) Google Scholar we were excited to be invited to elaborate more on the biaxial ex vivo biomechanical parameters for assessing ascending aortic aneurysms. Particularly, Tang and colleagues2Nightingale M. Gregory A. Sigaeva T. Dobson G.M. Fedak P.W.M. Appoo J.J. et al.Biomechanics in ascending aortic aneurysms correlate with tissue composition and strength.J Thorac Cardiovasc Surg Open. 2022; 9: 1-10Scopus (6) Google Scholar raise an excellent point regarding the limitations of ex vivo testing. Some researchers have tried to estimate an in vivo baseline strain to calculate the modulus of elasticity, this is the case for some of previous work by Chung and colleagues,3Chung J.C. Wong E. Tang M. Eliathamby D. Forbes T.L. Butany J. et al.Biomechanics of aortic dissection: a comparison of aortas associated with bicuspid and tricuspid aortic valves.J Am Heart Assoc. 2020; 9e016715Crossref Scopus (23) Google Scholar who used a physiological strain estimate of 10%. To our knowledge, there is yet no definitive method for calculating a physiological baseline stress/strain. The Law of Laplace, used to calculate stress, likely overestimates the pressure by not considering the transmural pressure within the aorta and there is currently no accurate way to assess residual strains. As such, we have chosen to move away from defining a modulus/stiffness at a specific value (not to mention that these values would need to be patient- and even region-specific) and toward defined features of the aortic material itself such as the low strain tangential modulus (LTM) and stress at the transition zone (TZo). LTM and TZo were chosen as physiologically meaningful given that healthy aortic tissue is not likely to reach the high strain modulus at the displacement control protocol used in this article, which is set to cause 60% biaxial strain in grip-to-grip distances. For our aneurysm samples, only 25 out of 41 samples presented full TZos. Therefore, comparing LTM and TZo seems more meaningful than comparing tangent moduli at a fixed strain because they are likely to not be equivalent measures for aneurysms with different stages of pathology progression. Additionally, these properties are believed to correlate with the microstructure of the tissue and may provide more information beyond a general assessment of stiffening. Tracking changes in LTM over time may shed light on the level of degradation of the elastic lamellae, whereas a lower TZo may illustrate structural changes to collagen.2Nightingale M. Gregory A. Sigaeva T. Dobson G.M. Fedak P.W.M. Appoo J.J. et al.Biomechanics in ascending aortic aneurysms correlate with tissue composition and strength.J Thorac Cardiovasc Surg Open. 2022; 9: 1-10Scopus (6) Google Scholar The energy loss in our article2Nightingale M. Gregory A. Sigaeva T. Dobson G.M. Fedak P.W.M. Appoo J.J. et al.Biomechanics in ascending aortic aneurysms correlate with tissue composition and strength.J Thorac Cardiovasc Surg Open. 2022; 9: 1-10Scopus (6) Google Scholar was calculated from the machine grip-to-grip measurements versus local central dot deformation used to calculate LTM and TZo. As such, our measurement of energy loss was determined with the limitations of nonlocalized deformation and using a standard strain of 60% across all samples. Our research group is cautiously optimistic about energy loss as presented by Chung and colleagues.3Chung J.C. Wong E. Tang M. Eliathamby D. Forbes T.L. Butany J. et al.Biomechanics of aortic dissection: a comparison of aortas associated with bicuspid and tricuspid aortic valves.J Am Heart Assoc. 2020; 9e016715Crossref Scopus (23) Google Scholar We are very excited to see the rigorous analysis conducted by Tang and colleagues1Tang M. Simmons C.A. Chung J.C.Y. Searching for a physiologically meaningful parameter for aortic biomechanics—is energy loss the way?.J Thorac Cardiovasc Surg Open. 2022; 10: 123-124Scopus (2) Google Scholar,4Tang M. Eliathamby D. Ouzounian M. Simmons C.A. Chung J.C. Dependency of energy loss on strain rate, strain magnitude and preload: toward development of a novel biomarker for aortic aneurysm dissection risk.J Mech Behav Biomed Mater. 2021; 124: 104736Crossref PubMed Scopus (4) Google Scholar on sensitivity of energy loss as well as the meaningful discussion on the physics behind this parameter. Studies like the one by Tang and colleagues4Tang M. Eliathamby D. Ouzounian M. Simmons C.A. Chung J.C. Dependency of energy loss on strain rate, strain magnitude and preload: toward development of a novel biomarker for aortic aneurysm dissection risk.J Mech Behav Biomed Mater. 2021; 124: 104736Crossref PubMed Scopus (4) Google Scholar raise our confidence in using this parameter in the future. Finally, it might be too ambitious to expect a single biomechanical parameter to capture disease progression as complex as the ascending aortic aneurysm. As mentioned, we view LTM, TZo, and energy loss as complementary measures each potentially reflecting different structural alterations and, when combined, providing a more comprehensive picture of disease progression. Funding Statement: This work was supported through the Natural Sciences and Engineering Research Council (NSERC) Discovery grant RGPIN/07178-2019, the NIH grant 1 R01 HL133504-01A1, the Libin Cardiovascular Institute of Alberta, and the Biomedical Engineering Graduate Program at the University of Calgary. Searching for a physiologically meaningful parameter for aortic biomechanics—is energy loss the way?JTCVS OpenVol. 10PreviewWe read with interest the article by Nightingale and colleagues,1 who introduced 2 biomechanical parameters, low strain tangential modulus (LTM) and onset stress of the transition zone (TZO), for assessing ascending aortic aneurysms. It is critically important that parameters measuring aortic biomechanics (1) can be measured in the physiologic range and therefore translate clinically, (2) correlate with failure properties as these are the true metrics of interest, and (3) correlate with underlying aortic wall microstructure. Full-Text PDF Open Access

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.165
GPT teacher head0.326
Teacher spread0.161 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2022
Admission routes3
Has abstractyes

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