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Quantification of hematoma and perihematomal edema volumes in intracerebral hemorrhage study: Design considerations in an artificial intelligence validation (QUANTUM) study

Natasha Ironside et al. Quantification of hematoma and perihematomal edema volumes in intracerebral hemorrhage study: Design considerations in an artificial intelligence validation (QUANTUM) study Clinical Trials.

Publication Date
July 2, 2022

How Analyze was Used
“Hematoma and perihematomal edema volumes of supratentorial intracerebral hemorrhage on 252 computed tomography scans will be prospectively quantified in random order by six raters using the fully automated, semi-automated, and manual quantification methods. Primary outcome measures for hematoma and perihematomal edema volumes will be quantified via computed tomography scan on admission (<24 h from symptom onset) and on day 3 (72 ± 12 h from symptom onset), respectively. "Keywords
Stroke, Intracerebral hemorrhage, Edema, Machine learning, Artificial intelligence, Study

Author Affiliation(s)
University of Virginia School of Medicine, Charlottesville, Virginia, USA

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