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

Authors :
David Z. Rose
Tiffany R. Chang
Javier Romero
Toru Iwama
Qaisar A. Shah
Jawad F. Kirmani
Adnan I Qureshi
Steven M. Greenberg
Mustapha A. Ezzeddine
Joshua N. Goldstein
Christopher Lewandowski
Christy Cassarly
Steven R. Messé
Ira Chang
Chitra Venkatasubramanian
Andrew M. Hernandez
Renee H Martin
Sachin Agarwal
Wade S. Smith
Andrea Morotti
Anastasia Vashkevich
Kristin Schwab
Thomas A. Bergman
Chun Lin Liu
Li Ming Lien
Angela Hays Shapshak
Chen Yu Hsiao
Jonathan Rosand
Michael J. Jessel
Joseph D. Burns
John M. Boone
M. Fareed K. Suri
Chung Y. Hsu
Mohammad Rauf Afzal
Katherine Palmieri
Source :
Neuroradiology. 59:839-844
Publication Year :
2017
Publisher :
Springer Science and Business Media LLC, 2017.

Abstract

The 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. A 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 8 h 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%. A 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

Details

ISSN :
14321920 and 00283940
Volume :
59
Database :
OpenAIRE
Journal :
Neuroradiology
Accession number :
edsair.doi.dedup.....930098cdc9e5aa53f3abe4918b288921
Full Text :
https://doi.org/10.1007/s00234-017-1857-4