Abstract 11863: Enhanced Adventitial Vasa Vasorum Formation in Patients With Vasospastic Angina -Assessment With Optical Frequency Domain Imaging-

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Kensuke Nishimiya ◽  
Yasuharu Matsumoto ◽  
Jun Takahashi ◽  
Takeshi Kato ◽  
Kazuma Oyama ◽  
...  

Background: We have previously demonstrated that adventitial inflammation, including enhanced formation of adventitial vasa vasorum (VV), is involved in the pathogenesis of coronary spasm in porcine models and that optical frequency domain imaging (OFDI) allows us to visualize adventitial VV in humans in vivo. However, it remains to be elucidated whether adventitial VV is also involved in the coronary hyperconstriction in patients with vasospastic angina (VSA). In this study, we thus examined the extent of VV formation in VSA patients and control subjects by using OFDI. Methods: OFDI image acquisition of the left anterior descending coronary artery (LAD) was performed along the LAD at every 10 mm length after intracoronary administration of isosorbide dinitrate in 21 patients with acetylcholine-induced spasm and 10 control subjects without the spasm. Results: Patient characteristics were comparable between VSA patients and control subjects, including sex, age, cardiovascular risks and medications. OFDI and reconstructed 3D-OFDI images clearly visualized enhanced VV formation in VSA patients as compared with control subjects (Figure). Quantitative analysis showed that VV area was significantly larger in VSA patients than in control subjects (VSA, 0.093±0.006 vs. control, 0.040±0.006 mm 2 , P<0.0001), whereas vessel diameter, wall thickness and coronary lesion types were all comparable between the 2 groups. Conclusions: These results demonstrate for the first time that adventitial VV formation is enhanced at the spastic coronary segment in VSA patients, suggesting the important role of adventitial VV in the pathogenesis of coronary spasm.

2014 ◽  
Vol 78 (10) ◽  
pp. 2516-2518 ◽  
Author(s):  
Kensuke Nishimiya ◽  
Yasuharu Matsumoto ◽  
Jun Takahashi ◽  
Hironori Uzuka ◽  
Yuji Odaka ◽  
...  

Author(s):  
Melissa J. Suter ◽  
Milen Shishkov ◽  
Lida P. Hariri ◽  
Matthew B. Applegate ◽  
Guillermo J. Tearney ◽  
...  

2016 ◽  
Vol 80 (10) ◽  
pp. 2252-2254 ◽  
Author(s):  
Kensuke Nishimiya ◽  
Yasuharu Matsumoto ◽  
Hironori Uzuka ◽  
Kazuma Ohyama ◽  
Kiyotaka Hao ◽  
...  

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Masatomo Miura ◽  
Kiyofumi Yamada ◽  
Takuya Kanamaru ◽  
Kazutaka Uchida ◽  
Manabu Shirakawa ◽  
...  

Background: Vasa vasorum neovascularization (VVN) is one of the characteristics of vulnerable plaque. The purpose of this study was to assess VVN using optical frequency domain imaging (OFDI) between symptomatic and asymptomatic carotid artery plaques, and to know its association with progression of stenosis. Methods: The carotid artery plaques were examined before angioplasty using OFDI system (LUNAWAVE TM , Terumo). VVN was defined as a no-signal tubuloluminal structures recognized on at least 3 consecutive images. A total number of VVN was compared between symptomatic and asymptomatic plaques. The stenosis was evaluated by carotid duplex scan within one year. The lesion was diagnosed as ‘progressive’ when the stenotic degree and peak systolic velocity were increased. Results: A total of 60 patients (29 symptomatic, 11 progression) were included. VVN was detected in 54 patients (90%), the total number of VVN was significantly higher in progressive stenosis (8.9 ± 5.7 vs. 4.5 ± 3.8, p = 0.02). However, there was no relationship between the number of VVN and ischemic symptom. Conclusions: VVN was more frequently observed in progressive stenosis. Evaluation of VVN using OFDI might be useful to predict progression of carotid artery stenosis.


2006 ◽  
Vol 14 (10) ◽  
pp. 4403 ◽  
Author(s):  
Edward C. W. Lee ◽  
Johannes F. de Boer ◽  
Mircea Mujat ◽  
Hyungsik Lim ◽  
Seok H. Yun

2013 ◽  
Vol 5 (1) ◽  
pp. 223 ◽  
Author(s):  
Han Saem Cho ◽  
Sun-Joo Jang ◽  
Kyunghun Kim ◽  
Alexey V. Dan-Chin-Yu ◽  
Milen Shishkov ◽  
...  

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