scholarly journals 3D Fast Spin-Echo T1 Black-Blood Imaging for the Diagnosis of Cervical Artery Dissection

2012 ◽  
Vol 34 (9) ◽  
pp. E103-E106 ◽  
Author(s):  
M. Edjlali ◽  
P. Roca ◽  
C. Rabrait ◽  
O. Naggara ◽  
C. Oppenheim
2017 ◽  
Vol 29 (1) ◽  
pp. 65-73 ◽  
Author(s):  
Dongdong Wang ◽  
Yiping Lu ◽  
Bo Yin ◽  
Mingyu Chen ◽  
Daoying Geng ◽  
...  

2021 ◽  
Vol 10 (9) ◽  
pp. 1850
Author(s):  
Seun-Ah Lee ◽  
Sang-Won Jo ◽  
Suk-Ki Chang ◽  
Ki-Han Kwon

This study aims to investigate the diagnostic ability of the contrast-enhanced 3D T1 black-blood fast spin-echo (T1 BB-FSE) sequence compared with the contrast-enhanced 3D T1-spoiled gradient-echo (CE-GRE) sequence in patients with facial neuritis. Forty-five patients with facial neuritis who underwent temporal bone MR imaging, including T1 BB-FSE and CE-GRE imaging, were examined. Two reviewers independently assessed the T1 BB-FSE and CE-GRE images in terms of diagnostic performance, and qualitative (diagnostic confidence and visual asymmetric enhancement) and quantitative analysis (contrast-enhancing lesion extent of the canalicular segment of the affected facial nerve (LEC) and the affected side-to-normal signal intensity ratio (rSI)). The AUCs of each reviewer, and the sensitivity and accuracy of T1 BB-FSE were significantly superior to those of CE-GRE (p < 0.05). Regarding diagnostic confidence and visual asymmetric enhancement, T1 BB-FSE tended to be rated greater than CE-GRE (p < 0.05). Additionally, in quantitative analysis, LEC and rSI of the canalicular segment on T1 BB-FSE were larger than those on CE-GRE (p < 0.05). The T1 BB-FSE sequence was significantly superior to the CE-GRE sequence, with more conspicuous lesion visualization in terms of both qualitative and quantitative aspects in patients with facial neuritis.


2016 ◽  
Vol 15 (3) ◽  
pp. 266-272 ◽  
Author(s):  
Chengcheng ZHU ◽  
Martin J GRAVES ◽  
Umar SADAT ◽  
Victoria E YOUNG ◽  
Jonathan H GILLARD ◽  
...  

2003 ◽  
Vol 17 (6) ◽  
pp. 648-655 ◽  
Author(s):  
Robert L. Greenman ◽  
John E. Shirosky ◽  
Robert V. Mulkern ◽  
Neil M. Rofsky

2019 ◽  
Vol 62 ◽  
pp. 159-166 ◽  
Author(s):  
Koji Matsumoto ◽  
Hajime Yokota ◽  
Hiroki Mukai ◽  
Ryota Ebata ◽  
Naoki Saito ◽  
...  

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