Abstract DP020: Quantification of Hematoma and Perihematomal Edema Volumes in Intracerebral Hemorrhage The QUANTUM Randomized Clinical Trial

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Authors: Natasha T. Ironside, James Patrie, Jeyan Sathia Kumar, Tanvir Rizvi, Panagiotis Mastorakos, Kareem El Naamani, Rawad Abbas, M. Harrison Snyder, Andrea Pecina Becerril, Ching-Jen Chen
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Abstract

Introduction: Optimizing patient selection and time-to-intervention will be crucial to the success of future clinical trials seeking to implement therapies and improve intracerebral hemorrhage (ICH) patient outcomes. Automated and accurate ICH and perihematomal edema (PHE) volumetry carries significant potential to strengthen trials targeting ICH and PHE expansion. Aims: The Quantification of Hematoma and Perihematomal Edema Volumes in Intracerebral Hemorrhage (QUANTUM) trial was designed with aims of (1) validating a fully automated artificial intelligence (AI) method for supratentorial, spontaneous ICH and PHE volumetry against the manual and semiautomated quantification methods and (2) establishing a model framework for the translation of AI technology through conduct of a clinical trial under the equivalence hypothesis paradigm. Methods: This trial was a prospective, randomized, clinical study with blinded outcome assessment. Six independent raters were randomized in a 1:1 ratio to ICH and PHE volumetry from non-contrast CT scans in the Virtual International Stroke Trials Archive with either the semiautomated or manual quantification method. The primary outcomes were equivalence between (1)ICH volume measurements on admission (

Fields of Study & Subjects

Intracerebral and Subarachnoid Hemorrhage Research Acute Ischemic Stroke Management Medical Image Segmentation Techniques

Publication details

Journal / source
Stroke
Volume
57
Issue
Suppl_1
Publication date
29 January 2026
Language
EN