L Saba1, G Micheletti2, W Brinjikji3, P Garofalo2, R Montisci4, A Balestrieri2, J S Suri5,6,7, J K DeMarco8, G Lanzino9, R Sanfilippo4. 1. From the Departments of Radiology (L.S., G.M., P.G., A.B.) lucasaba@tiscali.it. 2. From the Departments of Radiology (L.S., G.M., P.G., A.B.). 3. Departments of Radiology (W.B.). 4. Vascular Surgery (R.M., R.S.), Azienda Ospedaliero Universitaria, Monserrato (Cagliari), Italy. 5. Stroke Monitoring and Diagnostic Division (J.S.S.), AtheroPoint, Roseville, California. 6. Point-of-Care Devices (J.S.S.), Global Biomedical Technologies, Roseville, California. 7. Department of Electrical Engineering (J.S.S.), University of Idaho, Moscow, Idaho (Affiliated). 8. Department of Radiology (J.K.D.), Walter Reed Medical Center, Bethesda, Maryland. 9. Neurosurgery (G.L.), Mayo Clinic, Rochester, Minnesota.
Abstract
BACKGROUND AND PURPOSE: Our aim was to assess the relationship between volume and percentage of intraplaque hemorrhage measured using CT and the occurrence of cerebrovascular events at the time of CT. MATERIALS AND METHODS: One-hundred-twenty-three consecutive subjects (246 carotid arteries) with a mean age of 69 years who underwent CTA were included in this retrospective study. Plaque volume of components and subcomponents (including intraplaque hemorrhage volume) was quantified with dedicated software. RESULTS: Forty-six arteries were excluded because no plaque was identified. In the remaining 200 carotid arteries, a statistically significant difference was found between presentation with cerebrovascular events and lipid volume (P = .002), intraplaque hemorrhage volume (P = .002), percentage of lipid (P = .002), percentage of calcium (P = .001), percentage of intraplaque hemorrhage (P = .001), percentage of lipid-intraplaque hemorrhage (P = .001), and intraplaque hemorrhage/lipid ratio (P = .001). The highest receiver operating characteristic area under the curve was obtained with the intraplaque hemorrhage volume with a value of 0.793 (P = .001), percentage of intraplaque hemorrhage with an area under the curve of 0.812 (P = .001), and the intraplaque hemorrhage/lipid ratio with an area under the curve value of 0.811 (P = .001). CONCLUSIONS: Results of our study suggest that Hounsfield unit values <25 have a statistically significant association with the presence of cerebrovascular events and that the ratio intraplaque hemorrhage/lipid volume represents a strong parameter for the association of cerebrovascular events.
BACKGROUND AND PURPOSE: Our aim was to assess the relationship between volume and percentage of intraplaque hemorrhage measured using CT and the occurrence of cerebrovascular events at the time of CT. MATERIALS AND METHODS: One-hundred-twenty-three consecutive subjects (246 carotid arteries) with a mean age of 69 years who underwent CTA were included in this retrospective study. Plaque volume of components and subcomponents (including intraplaque hemorrhage volume) was quantified with dedicated software. RESULTS: Forty-six arteries were excluded because no plaque was identified. In the remaining 200 carotid arteries, a statistically significant difference was found between presentation with cerebrovascular events and lipid volume (P = .002), intraplaque hemorrhage volume (P = .002), percentage of lipid (P = .002), percentage of calcium (P = .001), percentage of intraplaque hemorrhage (P = .001), percentage of lipid-intraplaque hemorrhage (P = .001), and intraplaque hemorrhage/lipid ratio (P = .001). The highest receiver operating characteristic area under the curve was obtained with the intraplaque hemorrhage volume with a value of 0.793 (P = .001), percentage of intraplaque hemorrhage with an area under the curve of 0.812 (P = .001), and the intraplaque hemorrhage/lipid ratio with an area under the curve value of 0.811 (P = .001). CONCLUSIONS: Results of our study suggest that Hounsfield unit values <25 have a statistically significant association with the presence of cerebrovascular events and that the ratio intraplaque hemorrhage/lipid volume represents a strong parameter for the association of cerebrovascular events.
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Authors: L Saba; H Chen; R Cau; G D Rubeis; G Zhu; F Pisu; B Jang; G Lanzino; J S Suri; Y Qi; M Wintermark Journal: AJNR Am J Neuroradiol Date: 2022-02 Impact factor: 3.825
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Authors: Carlotta Onnis; Christian Cadeddu Dessalvi; Filippo Cademartiri; Giuseppe Muscogiuri; Simone Angius; Francesca Contini; Jasjit S Suri; Sandro Sironi; Rodrigo Salgado; Antonio Esposito; Luca Saba Journal: Front Cardiovasc Med Date: 2022-09-13
Authors: Jasjit S Suri; Mrinalini Bhagawati; Sudip Paul; Athanasios D Protogerou; Petros P Sfikakis; George D Kitas; Narendra N Khanna; Zoltan Ruzsa; Aditya M Sharma; Sanjay Saxena; Gavino Faa; John R Laird; Amer M Johri; Manudeep K Kalra; Kosmas I Paraskevas; Luca Saba Journal: Diagnostics (Basel) Date: 2022-03-16