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J-GLOBAL ID:201702255882330498
整理番号:17A1060037
低侵襲技術を用いた大動脈腸骨動脈閉塞性疾患における責任病変を同定できるコンピュータ断層撮影心筋血流予備量比【Powered by NICT】
Computed Tomography Fractional Flow Reserve Can Identify Culprit Lesions in Aortoiliac Occlusive Disease Using Minimally Invasive Techniques
著者 (9件):
Ward Erin P.
(Department of Vascular Surgery, University of California, San Diego, San Diego, CA)
,
Shiavazzi Daniele
(Department of Pediatrics, Stanford University, Stanford, CA)
,
Shiavazzi Daniele
(Department of Bioengineering, Stanford University, Stanford, CA)
,
Sood Divya
(Department of Vascular Surgery, University of California, San Diego, San Diego, CA)
,
Marsden Allison
(Department of Pediatrics, Stanford University, Stanford, CA)
,
Marsden Allison
(Department of Bioengineering, Stanford University, Stanford, CA)
,
Lane John
(Department of Vascular Surgery, University of California, San Diego, San Diego, CA)
,
Owens Erik
(Department of Vascular Surgery, University of California, San Diego, San Diego, CA)
,
Barleben Andrew
(Department of Vascular Surgery, University of California, San Diego, San Diego, CA)
資料名:
Annals of Vascular Surgery
(Annals of Vascular Surgery)
巻:
38
ページ:
151-157
発行年:
2017年
JST資料番号:
W3411A
ISSN:
0890-5096
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)