5th International Course on Coronary Image Analysis and Computational Physiology

• understand the basic principles of coronary physiology and computational methods
• carry out QFR and OFR analysis
• familiar with core lab analysis and the latest technology for hemodynamical analysis
• know latest technology for hemodynamical analysis

Pulse Imaging’s software solution and research tools will be available for hands-on training under the supervision of the faculty members.

Day 1: Coronary Physiology

09:00 am Welcome and Opening speech

09:10 am Introduction of Coronary Physiology: FFR, CFR, iFR, IMR

09:30 am Principle of computational physiology: QFR, OFR, CT-QFR

09:50 am Explanation of OFR analysis by OctPlus system

10:10 am Coffee break

10:20 am Hands-on: OFR case analysis

12:00 pm Lunch

01:00 pm Explanation of QFR analysis by AngioPlus system

02:00 pm Hands-on: QFR case analysis

05:00 pm Summary and discussion

06:00 pm Social event (including dinner) in Shanghai

Day 2: Core lab and practices

09:00 am Coronary artery core lab analysis with QCA, IVUS, OCT etc.

10:00 am Hands-on: core lab analysis toolkits

10:45 am Advanced research topics: wall shear stress and superficial wall stress

11:15 am Summary and discussion

12:00 pm Lunch

01:00 pm Advanced training on QFR and OFR

05:00 pm Test and certification

05:30 pm Adjourn

Course Fee: $600

Including: registration fee, Lunch, Dinner, Coffee & Tea

Course Faculty:

Tu, Shengxian; Ph.D., FACC, FESC, (Course Director)

Shanghai Jiao Tong University, China

Han, Jingfeng; Ph.D.

Pulse Medical Imaging Technology (Shanghai) Co., Ltd.

Chang, Yunxiao; M.Sc.

Pulse Medical Imaging Technology (Shanghai) Co., Ltd.

Zhou, Wenxuan; M.Sc.

Pulse Medical Imaging Technology (Shanghai) Co., Ltd.

General information

Language：English is the working language of the Course

Venue: Building 2, Gui-Ping Road 481, Xuhui District, Shanghai, China （上海市徐汇区桂平路481号2号楼）

Recommended Hotel accommodation: Ramada Plaza Shanghai Caohejing (10 min walking distance)

1. Tu S, Westra J, Yang J, von Birgelen C, Ferrara A, Pellicano M, Nef H, Tebaldi M, Murasato Y, Lansky A, Barbato E, van der Heijden LC, Reiber JHC, Holm NR, Wijns W. Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography: The International Multicenter FAVOR Pilot Study. J Am CollCardiol Interv 2016; 9:2024–35.
2. Xu B, Tu S, Qiao S, Qu X, Chen Y, Yang J, Guo L, Sun Z, Li Z, Tian F, Fang W, Chen J, Li W, Guan C, Holm NR, Wijns W, Hu S. Diagnostic Accuracy of the Angiography-Based Quantitative Flow Ratio for Online Assessment of Coronary Stenosis. J Am Coll Cardio 2017; 70: 3077-87.
3. Westra J, Andersen BK, Campo G, Matsuo H, Koltowski L, Eftekhari A, Liu T, Di Serafino L, Di Girolamo D, Escaned J, Nef H, Naber C, Barbierato M, Tu S, Neghabat O, Madsen M, Tebaldi M, Tanigaki T, Kochman J, Somi S, Esposito G, Mercone G, Mejia-Renteria H, Ronco F, Botker HE, Wijns W, Christiansen EH, Holm NR. Diagnostic Performance of In-Procedure Angiography-Derived Quantitative Flow Reserve Compared to Pressure-Derived Fractional Flow Reserve: The FAVOR II Europe-Japan Study JAHA 2018, 14:55.
4. Li Y, Gutiérrez-Chico JL, Holm NR, Yang W, Hebsgaard L, Christiansen EH, Mæng M, Lassen JF, Yan F, Reiber JHC, Tu S. Impact of Side Branch Modeling on Computation of Endothelial Shear Stress in Coronary Artery Disease: Coronary Tree Reconstruction by Fusion of 3D Angiography and OCT. J Am Coll Cardio 2015; 66:125-35.
5. Li Y, Li Z, Holck EN, Xu B, Karanasos A, Fei Z, Chang Y, Chu M, Dijkstra J, Christiansen EH, Reiber JHC, Holm NR, Tu S. Local Flow Patterns After Implantation of Bioresorbable Vascular Scaffold in Coronary Bifurcations: Novel Findings by Computational Fluid Dynamics. Circulation Journal, 2018.82:1575-1583.
6. Tu S, Echavarria-Pinto M, von Birgelen C, Holm NR, Pyxaras SA, Kumsars I, Lam MK, Valkenburg I, Toth GG, Li Y, Escaned J, Wijns W, Reiber JHC. Fractional flow reserve and coronary bifurcation anatomy: A novel quantitative model to assess and report the stenosis severity of bifurcation lesions. J Am CollCardiolInterv 2015; 8:564-74.
7. Wu X, Von Birgelen C, Takashi M, Li Y, Holm NR, Reiber JHC, Tu S. A novel four-dimensional angiogrephic approach to assess dynamic superficial wall stress of coronary arteries in vivo: Initial experience in evaluating vessel sites with subsequent plaque rupture. EuroIntervention 2017; 13: 1099-1103.
8. Yu W, Huang H, Jia D, Chen S, Raffel OC, Ding D, Tian F, Kan J, Zhang S, Yan Y, Chen Y, Bezerra HG, Wijns W, Tu S. Diagnostic Accuracy of Intracoronary Optical Coherence Tomography-derived Fractional Flow Reserve for Assessment of Coronary Stenosis Severity. EuroIntervention 2019;15:189-197.
9. Li Z, Zhang J, Xu L, Yang W, Li G,Ding D, Chang Y, Yu M, Kitslaar P, Zhang S, Reiber JHC, Arbab-Zadeh A, Yan F, Tu S. Diagnostic Accuracy of a Fast Computational Approach to Derive Fractional Flow Reserve from Coronary CT Angiography. J Am Coll Cardiol Img 2019. DOI: https://doi.org/10.1016/j.jcmg.2019.08.003
10. Tu S, Westra J, Adjedj J, Ding D, Liang F, Xu B, Holm N. R., Reiber H, Wijins W. Fractional Flow Reserve in clinical practice: from wire-based invasive measurement to image-based computation. European Heart Journal. 2019. doi.org/10.1093/eurheartj/ehz918.