Literature DB >> 29203732

X-ray angiography perfusion imaging with an intra-arterial injection: comparative study with 15O-gas/water positron emission tomography.

Katsunori Asai1, Hajime Nakamura1, Tadashi Watabe2, Takeo Nishida1, Manabu Sakaguchi3, Jun Hatazawa2, Toshiki Yoshimine4, Haruhiko Kishima1.   

Abstract

BACKGROUND: X-ray angiography perfusion (XAP) is a perfusion imaging technique based on conventional DSA.
OBJECTIVE: In this study, we aimed to validate parameters derived from XAP by comparing them with 15O-gas/water positron emission tomography (PET), using data from patients with chronic ischemic cerebrovascular disease.
METHODS: 18 consecutive patients were included. XAP was performed with intra-arterial infusion of contrast media, and a time-density curve was constructed for each cerebral hemisphere. From the curves, the relative values of mean transit time (rMTT) and wash-in rate (rWiR) were obtained by dividing the values of the right hemisphere by those of the left hemisphere. These were then compared with the relative values of cerebral blood flow (rCBF) and rMTT calculated from the PET data.
RESULTS: XAP rWiR correlated strongly with PET rCBF (r=0.86, P<0.0001). rMTT measurements from the two modalities were also strongly correlated (r=0.85, P<0.0001). Bland-Altman analysis revealed a bias of 0.14±0.18 (95% limits of agreement -0.22 to 0.51) for PET rCBF versus XAP rWiR, and 0.016±0.093 (95% limits of agreement -0.17 to 0.20) for rMTT between the two modalities.
CONCLUSIONS: The relative values obtained from XAP were validated across a population of patients with chronic ischemic cerebrovascular disease. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  angiography; blood flow; stenosis

Mesh:

Substances:

Year:  2017        PMID: 29203732     DOI: 10.1136/neurintsurg-2017-013487

Source DB:  PubMed          Journal:  J Neurointerv Surg        ISSN: 1759-8478            Impact factor:   5.836


  1 in total

1.  Optimizing the Quality of 4D-DSA Temporal Information.

Authors:  K L Ruedinger; E C Harvey; S Schafer; M A Speidel; C M Strother
Journal:  AJNR Am J Neuroradiol       Date:  2019-10-31       Impact factor: 3.825

  1 in total

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