Literature DB >> 6340157

Evaluation of peripheral vascular disease using digital subtraction angiography.

D F Guthaner, L Wexler, D R Enzmann, S J Riederer, G S Keyes, W F Collins, W R Brody.   

Abstract

Intravenous digital subtraction angiography (DSA) facilitates imaging of peripheral arteries and bypass grafts on an outpatient basis. Forty-five patients underwent intravenous peripheral angiography, 16 following placement of bypass grafts. Complex oblique and sagittal angulations optimize visualization of bifurcations and overlapping vascular structures. Reprocessing techniques using integrated masks and contrast images allow for diagnostic delineation of fine vascular detail. This is a practical, noninvasive, well tolerated method for both diagnostic screening and follow-up evaluation of patients with peripheral vascular disease.

Entities:  

Mesh:

Substances:

Year:  1983        PMID: 6340157     DOI: 10.1148/radiology.147.2.6340157

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  4 in total

1.  [Preoperative intra-arterial digital subtraction angiography in aortoiliac vascular occlusion].

Authors:  P Busch; J Hoevels; H D Saeger
Journal:  Langenbecks Arch Chir       Date:  1983

2.  Detection and Severity Assessment of Peripheral Occlusive Artery Disease via Deep Learning Analysis of Arterial Pulse Waveforms: Proof-of-Concept and Potential Challenges.

Authors:  Sooho Kim; Jin-Oh Hahn; Byeng Dong Youn
Journal:  Front Bioeng Biotechnol       Date:  2020-06-30

3.  Dynamic quantitative nonenhanced magnetic resonance angiography of the abdominal aorta and lower extremities using cine fast interrupted steady-state in combination with arterial spin labeling: a feasibility study.

Authors:  Emily A Aherne; Ioannis Koktzoglou; Benjamin B Lind; Robert R Edelman
Journal:  J Cardiovasc Magn Reson       Date:  2019-09-02       Impact factor: 5.364

4.  Deep Learning-Based Diagnosis of Peripheral Artery Disease via Continuous Property-Adversarial Regularization: Preliminary in Silico Study.

Authors:  Sooho Kim; Jin-Oh Hahn; Byeng Dong Youn
Journal:  IEEE Access       Date:  2021-09-14       Impact factor: 3.367

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.