172 related articles for article (PubMed ID: 29274686)
1. Fluid-structure interaction models based on patient-specific IVUS at baseline and follow-up for prediction of coronary plaque progression by morphological and biomechanical factors: A preliminary study.
Wang L; Tang D; Maehara A; Wu Z; Yang C; Muccigrosso D; Zheng J; Bach R; Billiar KL; Mintz GS
J Biomech; 2018 Feb; 68():43-50. PubMed ID: 29274686
[TBL] [Abstract][Full Text] [Related]
2. Multi-factor decision-making strategy for better coronary plaque burden increase prediction: a patient-specific 3D FSI study using IVUS follow-up data.
Wang L; Tang D; Maehara A; Molony D; Zheng J; Samady H; Wu Z; Lu W; Zhu J; Ma G; Giddens DP; Stone GW; Mintz GS
Biomech Model Mechanobiol; 2019 Oct; 18(5):1269-1280. PubMed ID: 30937650
[TBL] [Abstract][Full Text] [Related]
3. Combining morphological and biomechanical factors for optimal carotid plaque progression prediction: An MRI-based follow-up study using 3D thin-layer models.
Wang Q; Tang D; Wang L; Canton G; Wu Z; Hatsukami TS; Billiar KL; Yuan C
Int J Cardiol; 2019 Oct; 293():266-271. PubMed ID: 31301863
[TBL] [Abstract][Full Text] [Related]
4. IVUS-based FSI models for human coronary plaque progression study: components, correlation and predictive analysis.
Wang L; Wu Z; Yang C; Zheng J; Bach R; Muccigrosso D; Billiar K; Maehara A; Mintz GS; Tang D
Ann Biomed Eng; 2015 Jan; 43(1):107-21. PubMed ID: 25245219
[TBL] [Abstract][Full Text] [Related]
5. Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid-structure interaction models and machine learning methods with patient follow-up data: a feasibility study.
Guo X; Maehara A; Matsumura M; Wang L; Zheng J; Samady H; Mintz GS; Giddens DP; Tang D
Biomed Eng Online; 2021 Apr; 20(1):34. PubMed ID: 33823858
[TBL] [Abstract][Full Text] [Related]
6. Using Optical Coherence Tomography and Intravascular Ultrasound Imaging to Quantify Coronary Plaque Cap Stress/Strain and Progression: A Follow-Up Study Using 3D Thin-Layer Models.
Lv R; Maehara A; Matsumura M; Wang L; Zhang C; Huang M; Guo X; Samady H; Giddens DP; Zheng J; Mintz GS; Tang D
Front Bioeng Biotechnol; 2021; 9():713525. PubMed ID: 34497800
[TBL] [Abstract][Full Text] [Related]
7. Combination of plaque burden, wall shear stress, and plaque phenotype has incremental value for prediction of coronary atherosclerotic plaque progression and vulnerability.
Corban MT; Eshtehardi P; Suo J; McDaniel MC; Timmins LH; Rassoul-Arzrumly E; Maynard C; Mekonnen G; King S; Quyyumi AA; Giddens DP; Samady H
Atherosclerosis; 2014 Feb; 232(2):271-6. PubMed ID: 24468138
[TBL] [Abstract][Full Text] [Related]
8. Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change.
Wang L; Tang D; Maehara A; Wu Z; Yang C; Muccigrosso D; Matsumura M; Zheng J; Bach R; Billiar KL; Stone GW; Mintz GS
Comput Methods Biomech Biomed Engin; 2020 Nov; 23(15):1267-1276. PubMed ID: 32696674
[TBL] [Abstract][Full Text] [Related]
9. Multi-patient study for coronary vulnerable plaque model comparisons: 2D/3D and fluid-structure interaction simulations.
Wang Q; Tang D; Wang L; Meahara A; Molony D; Samady H; Zheng J; Mintz GS; Stone GW; Giddens DP
Biomech Model Mechanobiol; 2021 Aug; 20(4):1383-1397. PubMed ID: 33759037
[TBL] [Abstract][Full Text] [Related]
10. A Multimodality Image-Based Fluid-Structure Interaction Modeling Approach for Prediction of Coronary Plaque Progression Using IVUS and Optical Coherence Tomography Data With Follow-Up.
Guo X; Giddens DP; Molony D; Yang C; Samady H; Zheng J; Matsumura M; Mintz GS; Maehara A; Wang L; Tang D
J Biomech Eng; 2019 Sep; 141(9):0910031-9. PubMed ID: 31141591
[TBL] [Abstract][Full Text] [Related]
11. Human coronary plaque wall thickness correlated positively with flow shear stress and negatively with plaque wall stress: an IVUS-based fluid-structure interaction multi-patient study.
Fan R; Tang D; Yang C; Zheng J; Bach R; Wang L; Muccigrosso D; Billiar K; Zhu J; Ma G; Maehara A; Mintz GS
Biomed Eng Online; 2014 Mar; 13(1):32. PubMed ID: 24669780
[TBL] [Abstract][Full Text] [Related]
12. Positive remodeling at 3 year follow up is associated with plaque-free coronary wall segment at baseline: a serial IVUS study.
Wentzel JJ; Gijsen FJ; van der Giessen R; Rodriguez-Granillo G; Schuurbiers JC; Regar E; de Feyter PJ; van der Steen AF
Atherosclerosis; 2014 Sep; 236(1):82-90. PubMed ID: 25016362
[TBL] [Abstract][Full Text] [Related]
13. Impact of flow rates in a cardiac cycle on correlations between advanced human carotid plaque progression and mechanical flow shear stress and plaque wall stress.
Yang C; Canton G; Yuan C; Ferguson M; Hatsukami TS; Tang D
Biomed Eng Online; 2011 Jul; 10():61. PubMed ID: 21771293
[TBL] [Abstract][Full Text] [Related]
14. Biomechanical factors in coronary vulnerable plaque risk of rupture: intravascular ultrasound-based patient-specific fluid-structure interaction studies.
Liang X; Xenos M; Alemu Y; Rambhia SH; Lavi I; Kornowski R; Gruberg L; Fuchs S; Einav S; Bluestein D
Coron Artery Dis; 2013 Mar; 24(2):75-87. PubMed ID: 23363983
[TBL] [Abstract][Full Text] [Related]
15. In vivo serial MRI-based models and statistical methods to quantify sensitivity and specificity of mechanical predictors for carotid plaque rupture: location and beyond.
Wu Z; Yang C; Tang D
J Biomech Eng; 2011 Jun; 133(6):064503. PubMed ID: 21744932
[TBL] [Abstract][Full Text] [Related]
16. Comparison of optical coherence tomography and intravascular ultrasound for evaluation of coronary lipid-rich atherosclerotic plaque progression and regression.
Xie Z; Tian J; Ma L; Du H; Dong N; Hou J; He J; Dai J; Liu X; Pan H; Liu Y; Yu B
Eur Heart J Cardiovasc Imaging; 2015 Dec; 16(12):1374-80. PubMed ID: 25911116
[TBL] [Abstract][Full Text] [Related]
17. Combining IVUS and Optical Coherence Tomography for More Accurate Coronary Cap Thickness Quantification and Stress/Strain Calculations: A Patient-Specific Three-Dimensional Fluid-Structure Interaction Modeling Approach.
Guo X; Giddens DP; Molony D; Yang C; Samady H; Zheng J; Mintz GS; Maehara A; Wang L; Pei X; Li ZY; Tang D
J Biomech Eng; 2018 Apr; 140(4):0410051-04100512. PubMed ID: 29059332
[TBL] [Abstract][Full Text] [Related]
18. Combining IVUS + OCT Data, Biomechanical Models and Machine Learning Method for Accurate Coronary Plaque Morphology Quantification and Cap Thickness and Stress/Strain Index Predictions.
Lv R; Wang L; Maehara A; Matsumura M; Guo X; Samady H; Giddens DP; Zheng J; Mintz GS; Tang D
J Funct Biomater; 2023 Jan; 14(1):. PubMed ID: 36662088
[TBL] [Abstract][Full Text] [Related]
19. Comparison of angiographic and IVUS derived coronary geometric reconstructions for evaluation of the association of hemodynamics with coronary artery disease progression.
Timmins LH; Suo J; Eshtehardi P; Molony DS; McDaniel MC; Oshinski JN; Giddens DP; Samady H
Int J Cardiovasc Imaging; 2016 Sep; 32(9):1327-1336. PubMed ID: 27229349
[TBL] [Abstract][Full Text] [Related]
20. Prediction of progression of coronary artery disease and clinical outcomes using vascular profiling of endothelial shear stress and arterial plaque characteristics: the PREDICTION Study.
Stone PH; Saito S; Takahashi S; Makita Y; Nakamura S; Kawasaki T; Takahashi A; Katsuki T; Nakamura S; Namiki A; Hirohata A; Matsumura T; Yamazaki S; Yokoi H; Tanaka S; Otsuji S; Yoshimachi F; Honye J; Harwood D; Reitman M; Coskun AU; Papafaklis MI; Feldman CL;
Circulation; 2012 Jul; 126(2):172-81. PubMed ID: 22723305
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]