scholarly journals CT Myocardial Perfusion Imaging: A New Frontier in Cardiac Imaging

2018 ◽  
Vol 2018 ◽  
pp. 1-21 ◽  
Author(s):  
Sara Seitun ◽  
Cecilia De Lorenzi ◽  
Filippo Cademartiri ◽  
Angelo Buscaglia ◽  
Nicole Travaglio ◽  
...  
Keyword(s):  
Ct Perfusion ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
High Definition ◽  
Technical Improvement ◽  
Advantages And Disadvantages ◽  
Flow Reserve ◽  
Associated Lesions ◽  
Reliable Assessment ◽  
Epicardial Stenosis

The past two decades have witnessed rapid and remarkable technical improvement of multidetector computed tomography (CT) in both image quality and diagnostic accuracy. These improvements include higher temporal resolution, high-definition and wider detectors, the introduction of dual-source and dual-energy scanners, and advanced postprocessing. Current new generation multidetector row (≥64 slices) CT systems allow an accurate and reliable assessment of both coronary epicardial stenosis and myocardial CT perfusion (CTP) imaging at rest and during pharmacologic stress in the same examination. This novel application makes CT the unique noninvasive “one-stop-shop” method for a comprehensive assessment of both anatomical coronary atherosclerosis and its physiological consequences. Myocardial CTP imaging can be performed with different approaches such as static arterial first-pass imaging, and dynamic CTP imaging, with their own advantages and disadvantages. Static CTP can be performed using single-energy or dual-energy CT, employing qualitative or semiquantitative analysis. In addition, dynamic CTP can obtain quantitative data of myocardial blood flow and coronary flow reserve. The purpose of this review was to summarize all available evidence about the emerging role of myocardial CTP to identify ischemia-associated lesions, focusing on technical considerations, clinical applications, strengths, limitations, and the more promising future fields of interest in the broad spectra of ischemic heart disease.

scholarly journals Dual-energy CT perfusion imaging for differentiating WHO subtypes of thymic epithelial tumors

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Chunhai Yu ◽  
Ting Li ◽  
Ruiping Zhang ◽  
Xiaotang Yang ◽  
Zhao Yang ◽  
...  
Keyword(s):  
Perfusion Imaging ◽  
Ct Perfusion ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Thymic Epithelial Tumors ◽  
Epithelial Tumors ◽  
Ct Perfusion Imaging

scholarly journals Author Correction: Dual-energy CT perfusion imaging for differentiating WHO subtypes of thymic epithelial tumors

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Chunhai Yu ◽  
Ting Li ◽  
Ruiping Zhang ◽  
Xiaotang Yang ◽  
Zhao Yang ◽  
...  
Keyword(s):  
Perfusion Imaging ◽  
Ct Perfusion ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Thymic Epithelial Tumors ◽  
Epithelial Tumors ◽  
Ct Perfusion Imaging

Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection

2016 ◽  
Author(s):  
Michael Goetz ◽  
Stephan Skornitzke ◽  
Christian Weber ◽  
Franziska Fritz ◽  
Philipp Mayer ◽  
...  
Keyword(s):  
Machine Learning ◽  
Pancreatic Tumor ◽  
Ct Perfusion ◽  
Tumor Detection ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Perfusion Maps

scholarly journals Non-contrast dual-energy CT virtual ischemia maps accurately estimate ischemic core size in large-vessel occlusive stroke

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dylan N. Wolman ◽  
Fasco van Ommen ◽  
Elizabeth Tong ◽  
Frans Kauw ◽  
Jan Willem Dankbaar ◽  
...  
Keyword(s):  
Primary Outcome ◽  
Ct Perfusion ◽  
Primary Outcome Measure ◽  
Dual Energy ◽  
Large Vessel ◽  
Dual Energy Ct ◽  
Vessel Occlusion ◽  
Ischemic Core ◽  
Contrast Ct

AbstractDual-energy CT (DECT) material decomposition techniques may better detect edema within cerebral infarcts than conventional non-contrast CT (NCCT). This study compared if Virtual Ischemia Maps (VIM) derived from non-contrast DECT of patients with acute ischemic stroke due to large-vessel occlusion (AIS-LVO) are superior to NCCT for ischemic core estimation, compared against reference-standard DWI-MRI. Only patients whose baseline ischemic core was most likely to remain stable on follow-up MRI were included, defined as those with excellent post-thrombectomy revascularization or no perfusion mismatch. Twenty-four consecutive AIS-LVO patients with baseline non-contrast DECT, CT perfusion (CTP), and DWI-MRI were analyzed. The primary outcome measure was agreement between volumetric manually segmented VIM, NCCT, and automatically segmented CTP estimates of the ischemic core relative to manually segmented DWI volumes. Volume agreement was assessed using Bland–Altman plots and comparison of CT to DWI volume ratios. DWI volumes were better approximated by VIM than NCCT (VIM/DWI ratio 0.68 ± 0.35 vs. NCCT/DWI ratio 0.34 ± 0.35; P < 0.001) or CTP (CTP/DWI ratio 0.45 ± 0.67; P < 0.001), and VIM best correlated with DWI (rVIM = 0.90; rNCCT = 0.75; rCTP = 0.77; P < 0.001). Bland–Altman analyses indicated significantly greater agreement between DWI and VIM than NCCT core volumes (mean bias 0.60 [95%AI 0.39–0.82] vs. 0.20 [95%AI 0.11–0.30]). We conclude that DECT VIM estimates the ischemic core in AIS-LVO patients more accurately than NCCT.

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