2022
DOI: 10.1007/s00366-022-01659-w
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Texas TriValve 1.0 : a reverse-engineered, open model of the human tricuspid valve

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Cited by 7 publications
(3 citation statements)
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“…A complete account of all model details, including the geometry, material properties, and boundary conditions, can be found in Appendix E1 and our recent work. 14 To investigate the impact of device shape and size on the mechanics of the diseased, ie, regurgitant, tricuspid valve, we altered our published healthy valve model to mirror the pathology of pulmonary arterial hypertension-induced functional tricuspid regurgitation. As such, we asymmetrically dilated the tricuspid annulus in the lateral direction until achieving an end-diastolic annular area increase of 62% and an annular circularity of one.…”
Section: Methodsmentioning
confidence: 99%
“…A complete account of all model details, including the geometry, material properties, and boundary conditions, can be found in Appendix E1 and our recent work. 14 To investigate the impact of device shape and size on the mechanics of the diseased, ie, regurgitant, tricuspid valve, we altered our published healthy valve model to mirror the pathology of pulmonary arterial hypertension-induced functional tricuspid regurgitation. As such, we asymmetrically dilated the tricuspid annulus in the lateral direction until achieving an end-diastolic annular area increase of 62% and an annular circularity of one.…”
Section: Methodsmentioning
confidence: 99%
“… The geometric data of these tricuspid annuloplasty devices will allow surgeons to objectively compare these devices and thus help make the best selection for tricuspid valve repair. These data may further help scientists who build computational models of the tricuspid valve and tricuspid valve repair procedures [4] , [5] , [6] , [7] , [8] , [9] , [10] , [11] , [12] . For example, predictive models of tricuspid valve annuloplasty procedures may use our data to inform their device geometries.…”
Section: Value Of the Datamentioning
confidence: 99%
“…These data may further help scientists who build computational models of the tricuspid valve and tricuspid valve repair procedures [4] , [5] , [6] , [7] , [8] , [9] , [10] , [11] , [12] . For example, predictive models of tricuspid valve annuloplasty procedures may use our data to inform their device geometries.…”
Section: Value Of the Datamentioning
confidence: 99%