Literature DB >> 3558430

Factors in the propagation of aortic dissections in canine thoracic aortas.

C van Baardwijk, M R Roach.   

Abstract

Factors were examined which altered the propagation of aortic dissections in canine aortas. Thoracic aortas were removed from sacrificed dogs from the distal end of the arch to the diaphragm. An intimal tear was created at the proximal end of the aorta. The dissection was propagated using a pulsatile pressure system with no flow. The aorta was perfused with a dilute black paint solution, which allowed both video monitoring of the extension of the dissection and measurement of the dissection rate. The dependence of the dissection rate on the variables peak pressure, (dP/dt)max and intimal tear depth was examined. The dissection rate was found to be dependent on (dP/dt)max (p less than 0.005) and the intimal tear depth, expressed as a percentage of wall thickness (p less than 0.01), but not on the peak pressure or intimal tear length. The equation relating the significant variables was log (dissection rate) = (-0.034) X % tear depth +(1.89 +/- 0.56) X (dP/dt)max -(4.3 +/- 1.8); r = 78. Thus a higher (dP/dt)max was associated with a more rapid dissection rate and a deeper intimal tear was associated with a slower dissection rate.

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Year:  1987        PMID: 3558430     DOI: 10.1016/0021-9290(87)90268-5

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  9 in total

1.  Fluid-structure interaction within a layered aortic arch model.

Authors:  Feng Gao; Zhihong Guo; Makoto Sakamoto; Teruo Matsuzawa
Journal:  J Biol Phys       Date:  2006-12-13       Impact factor: 1.365

2.  Prefailure and failure mechanics of the porcine ascending thoracic aorta: experiments and a multiscale model.

Authors:  Sachin B Shah; Colleen Witzenburg; Mohammad F Hadi; Hallie P Wagner; Janna M Goodrich; Patrick W Alford; Victor H Barocas
Journal:  J Biomech Eng       Date:  2014-02       Impact factor: 2.097

3.  Failure of the Porcine Ascending Aorta: Multidirectional Experiments and a Unifying Microstructural Model.

Authors:  Colleen M Witzenburg; Rohit Y Dhume; Sachin B Shah; Christopher E Korenczuk; Hallie P Wagner; Patrick W Alford; Victor H Barocas
Journal:  J Biomech Eng       Date:  2017-03-01       Impact factor: 2.097

4.  Failure properties and microstructure of healthy and aneurysmatic human thoracic aortas subjected to uniaxial extension with a focus on the media.

Authors:  Selda Sherifova; Gerhard Sommer; Christian Viertler; Peter Regitnig; Thomas Caranasos; Margaret Anne Smith; Boyce E Griffith; Ray W Ogden; Gerhard A Holzapfel
Journal:  Acta Biomater       Date:  2019-08-26       Impact factor: 8.947

Review 5.  Possible mechanical roles of glycosaminoglycans in thoracic aortic dissection and associations with dysregulated transforming growth factor-β.

Authors:  J D Humphrey
Journal:  J Vasc Res       Date:  2012-09-25       Impact factor: 1.934

6.  Simulating progressive intramural damage leading to aortic dissection using DeepONet: an operator-regression neural network.

Authors:  Minglang Yin; Ehsan Ban; Bruno V Rego; Enrui Zhang; Cristina Cavinato; Jay D Humphrey; George Em Karniadakis
Journal:  J R Soc Interface       Date:  2022-02-09       Impact factor: 4.118

7.  Biomechanical roles of medial pooling of glycosaminoglycans in thoracic aortic dissection.

Authors:  Sara Roccabianca; Gerard A Ateshian; Jay D Humphrey
Journal:  Biomech Model Mechanobiol       Date:  2013-03-15

8.  Avalanches and power law behavior in aortic dissection propagation.

Authors:  Xunjie Yu; Béla Suki; Yanhang Zhang
Journal:  Sci Adv       Date:  2020-05-22       Impact factor: 14.136

9.  Failure Properties of Healthy and Diabetic Rabbit Thoracic Aortas and Their Potential Correlation with Mass Fractions of Collagen.

Authors:  J Tong; X Xu; Y F Xin; Z Zhang; C H Wu
Journal:  Cardiovasc Eng Technol       Date:  2021-06-17       Impact factor: 2.495

  9 in total

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