Identifying perfusion deficits on CT perfusion images using temporal similarity perfusion (TSP) mapping

Autor: Jill B. De Vis, Jan Willem Dankbaar, Richard C. Reynolds, Wouter Kroon, Reinoud P H Bokkers, Brigitta K Velthuis, Daniel R. Glen, Sunbin Song, Marie Luby, Lawrence L. Latour
Přispěvatelé: ​Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Male
Computed Tomography Angiography
SEGMENTATION
Perfusion scanning
030218 nuclear medicine & medical imaging
0302 clinical medicine
immune system diseases
MEAN TRANSIT-TIME
Medicine
CORE
Tomography
Brain Mapping
Computed Tomography Angiography/methods
Clinical Trials as Topic
Penumbra
Brain
virus diseases
General Medicine
Middle Aged
Multicenter Study
Stroke
Perfusion
Cerebral Arteries/diagnostic imaging
Radiology Nuclear Medicine and imaging
Cerebrovascular Circulation
030220 oncology & carcinogenesis
Infarct volume
RELIABILITY
Temporal similarity
Female
Radiology
medicine.medical_specialty
endocrine system
PENUMBRA
DCE-MRI
Cerebrovascular Circulation/physiology
Transit time
X-ray computed
Article
PARAMETERS
03 medical and health sciences
Brain ischemia
Brain Mapping/methods
Brain Ischemia/diagnostic imaging
Journal Article
Humans
Radiology
Nuclear Medicine and imaging
COMPUTED-TOMOGRAPHY
Aged
Retrospective Studies
business.industry
Tomography
X-ray computed
Cerebral Arteries
Brain/diagnostic imaging
Cross-Sectional Studies
VOLUME
business
Nuclear medicine
Kappa
Stroke/diagnostic imaging
Zdroj: European Radiology, 29(8), 4198. Springer Verlag
Eur Radiol
European Radiology, 29(8), 4198-4206. SPRINGER
ISSN: 0938-7994
DOI: 10.1007/s00330-018-5896-y
Popis: OBJECTIVES: Deconvolution-derived maps of CT perfusion (CTP) data may be confounded by transit delays. We propose temporal similarity perfusion (TSP) analysis to decrease CTP maps' dependence on transit times and investigate its sensitivity to detect perfusion deficits.METHODS: CTP data of acute stroke patients obtained within 9 h of symptom onset was analyzed using a delay-insensitive singular value decomposition method and with TSP. The TSP method applies an iterative process whereby a pixel's highest Pearson's R value is obtained through comparison of a pixel's time-shifted signal density time-series curve and the average whole brain signal density time-series curve. Our evaluation included a qualitative and quantitative rating of deconvolution maps (MTT, CBV, and TTP), of TSP maps, and of follow-up CT.RESULTS: Sixty-five patients (mean 68 (SD 13) years, 34 male) were included. A perfusion deficit was identified in 90%, 86%, 65%, and 84% of MTT, TTP, CBV, and TSP maps. The agreement of MTT, TTP, and TSP with CT follow-up was comparable but noticeably lower for CBV. CBV had the best relationship with final infarct volume (R2 = 0.77, p CONCLUSIONS: TSP maps are easier to interpret for inexperienced readers. Perfusion deficits detected by TSP are smaller which may suggest less dependence on transit delays although more investigation is required.KEY POINTS: • Temporal similarity perfusion mapping assesses CTP data based on similarities in signal time-curves. • TSP maps are comparable in perfusion deficit detection to deconvolution maps. • TSP maps are easier to interpret for inexperienced readers.
Databáze: OpenAIRE
Externí odkaz: