Pseudo dual energy CT imaging using deep learning-based framework: basic material estimation

2018 ◽  
Author(s):  
Jianhua Ma ◽  
Yuting Liao ◽  
Yongbo Wang ◽  
Sui Li ◽  
Ji He ◽  
...  
Keyword(s):  
Deep Learning ◽  
Dual Energy ◽  
Ct Imaging ◽  
Basic Material ◽  
Dual Energy Ct

Abstract P327: Utilizing Iodine Contrast Extravasation Post Reperfusion and Dual Energy Ct Imaging to Predict Risk of Hemorrhagic Conversion in Acute Stroke Patients

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Tri Huynh* ◽  
Niran Vijayaraghavan* ◽  
Hannah Branstetter ◽  
Natalie Buchwald ◽  
Justin De Prey ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Infarct Volume ◽  
Reperfusion Therapy ◽  
Dual Energy ◽  
Ct Imaging ◽  
Dual Energy Ct ◽  
Stroke Patients ◽  
Post Intervention ◽  
Contrast Extravasation ◽  
Post Contrast

Introduction: Hyperintense acute reperfusion marker (HARM) has been identified on post-contrast magnetic resonance imaging (MRI) to be a marker of hemorrhagic conversion (HC) post reperfusion therapy in acute stroke patients. We have previously described a case where MRI HARM was mimicked on post contrast computed topography (CT) imaging in an acute stroke patient post reperfusion. Dual-Energy (DECT) allows for differentiation between acute blood and iodine contrast extravasation (ICE), and thus can have utility when ICE is present. Here we sought to validate whether post-intervention ICE/CT hyperdensity reperfusion maker (CT HARM), and contrast subtracted on DECT is associated with HC in acute stroke patients. Method: Data was obtained from our Institutional Review Board approved stroke admission database from January 2017 to November 2019, including ischemic stroke patients that received thrombolysis or thrombectomy, had evaluable images within 24 hours of admission, and received a DECT. Ischemic volumes of the stroke was measured on diffusion-weighted image (DWI). ICE was measured on CT head and DECT using the freehand 3D region of interest tool on the Visage Imaging PACS System. Susceptibility weighted MRI sequences were used to grade HC. Data analysis was conducted with regression modeling. Results: A total of 82 patients were included, 49% women, median age 73 (interquartile range (IQR), 61- 77), admission NIHSS 12 (IQR, 7 - 21), 24 hour change in NIHSS 4 (IQR, 0 -13), glucose 125 (IQR, 106 -158), creatinine 1.0 (IQR, 0.8 - 1.2), infarct volume 50.6 ± 7.1 mL, 48% treated with thrombectomy, 7% with PH-1 or PH-2 identified on MRI, and 56% with MCA infarcts. ICE volume was 2.6 ± 1.0 mL and DECT volume was 2.2 ± 1.1mL. ICE increased the likelihood of MRI confirmed PH-1 or PH-2 hemorrhagic conversion (odds ratio (OR) 14.34, 95% confidence interval (CI) 5.74 - 22.94) and decreased likelihood of increase in NIHSS at 24 hours (OR 0.20, 95% CI 0.01 to 0.40). There were no other significant associations with ICE or DECT volumes. Conclusion: Our results are supportive of our proposed association between CT HARM and risk of HC. More studies are needed to study whether quantitative of DECT can be predictive of stroke outcomes post reperfusion therapy.

scholarly journals Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography

Radiographics ◽  
2018 ◽  
Vol 38 (7) ◽  
pp. 2034-2050 ◽  
Author(s):  
Rie Tachibana ◽  
Janne J. Näppi ◽  
Junko Ota ◽  
Nadja Kohlhase ◽  
Toru Hironaka ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ct Colonography ◽  
Dual Energy ◽  
Dual Energy Ct

Dual-energy CT to detect recurrent HCC after TACE: Initial experience of color-coded iodine CT imaging

2013 ◽  
Vol 82 (4) ◽  
pp. 569-576 ◽  
Author(s):  
Jeong-Ah Lee ◽  
Woo Kyoung Jeong ◽  
Yongsoo Kim ◽  
Soon-Young Song ◽  
Jinoo Kim ◽  
...  
Keyword(s):  
Dual Energy ◽  
Ct Imaging ◽  
Dual Energy Ct ◽  
Initial Experience
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