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Phantom-based standardization of CT angiography images for spot sign detection

Authors :
Morotti, Andrea
Romero, Javier M
Jessel, Michael J
Hernandez, Andrew M
Vashkevich, Anastasia
Schwab, Kristin
Burns, Joseph D
Shah, Qaisar A
Bergman, Thomas A
Suri, M Fareed K
Ezzeddine, Mustapha
Kirmani, Jawad F
Agarwal, Sachin
Shapshak, Angela Hays
Messe, Steven R
Venkatasubramanian, Chitra
Palmieri, Katherine
Lewandowski, Christopher
Chang, Tiffany R
Chang, Ira
Rose, David Z
Smith, Wade
Hsu, Chung Y
Liu, Chun-Lin
Lien, Li-Ming
Hsiao, Chen-Yu
Iwama, Toru
Afzal, Mohammad Rauf
Cassarly, Christy
Greenberg, Steven M
Martin, Renee' Hebert
Qureshi, Adnan I
Rosand, Jonathan
Boone, John M
Goldstein, Joshua N
ATACH-II and NETT Investigators
Source :
Neuroradiology, vol 59, iss 9
Publication Year :
2017
Publisher :
eScholarship, University of California, 2017.

Abstract

PurposeThe CT angiography (CTA) spot sign is a strong predictor of hematoma expansion in intracerebral hemorrhage (ICH). However, CTA parameters vary widely across centers and may negatively impact spot sign accuracy in predicting ICH expansion. We developed a CT iodine calibration phantom that was scanned at different institutions in a large multicenter ICH clinical trial to determine the effect of image standardization on spot sign detection and performance.MethodsA custom phantom containing known concentrations of iodine was designed and scanned using the stroke CT protocol at each institution. Custom software was developed to read the CT volume datasets and calculate the Hounsfield unit as a function of iodine concentration for each phantom scan. CTA images obtained within 8h from symptom onset were analyzed by two trained readers comparing the calibrated vs. uncalibrated density cutoffs for spot sign identification. ICH expansion was defined as hematoma volume growth >33%.ResultsA total of 90 subjects qualified for the study, of whom 17/83 (20.5%) experienced ICH expansion. The number of spot sign positive scans was higher in the calibrated analysis (67.8 vs 38.9% p&nbsp

Details

Database :
OpenAIRE
Journal :
Neuroradiology, vol 59, iss 9
Accession number :
edsair.od.......325..252f5deb6838be2c1dad321f704b88f1