Performance of RAPID noncontrast CT stroke platform in large vessel occlusion and intracranial hemorrhage detection
Year: 2023
Type: article
Abstract: Background Noncontrast CT (NCCT) is used to evaluate for intracerebral hemorrhage (ICH) and ischemia in acute ischemic stroke (AIS). Large vessel occlusions (LVOs) are a major cause of AIS, but challenging to detect on NCCT. Aims The purpose of this study is to evaluate an AI software called RAPID NCCT Stroke (RAPID, iSchemaView, Menlo Park, CA) for ICH and LVO detection compared to expert readers. Methods In this IRB approved retrospective, multicenter study, stand-alone performance of the software was assessed based on the consensus of 3 neuroradiologists and sensitivity and specificity were determined. The platform’s performance was then compared to interpretation by readers comprised of eight general radiologists (GR) and three neuroradiologists (NR) in detecting ICH and hyperdense vessel sign (HVS) indicating LVO. Receiver operating characteristics (ROC) curve was used to evaluate the performance of each reader. P < 0.05 was considered significant. Results A total of 244 cases were included. Of the 244, 115 were LVOs and 26 were ICHs. One hundred three cases did not have LVO nor ICH. Stand-alone performance of the software demonstrated sensitivities and specificities of 96.2% and 99.5% for ICH and 63.5% and 95.1% for LVO detection. Compared to all 11 readers and eight GR readers only respectively, the software demonstrated superiority, achieving significantly higher sensitivities (63.5% versus 43.6%, p < 0.0001 and 63.5% versus 40.9%, p =0.001). Conclusion The RAPID NCCT Stroke platform demonstrates superior performance to radiologists for detecting LVO from a NCCT. Use of this software platform could lead to earlier LVO detection and expedited transfer of these patients to a thrombectomy capable center.
Source: Frontiers in Neurology
Authors: Vivek Yedavalli, Jeremy J Heit, Seena Dehkharghani, Hafez Haerian, John M. Mcmenamy, Justin Honce, Vincent M Timpone, Christopher Harnain, Andrew Kesselman, Anthony Filly, Adam Beardsley, Brian Sakamoto, Christopher Song, James L Montuori, Benjamin Navot, Francisco Villar Mena, Dan-Victor Giurgiutiu, Felipe Kitamura, Fabricio Oliveira Lima, Henrique Coelho Silva, Francisco José Arruda Mont’Alverne, Gregory W Albers
Institutions: Johns Hopkins University, Johns Hopkins Medicine, Johns Hopkins Hospital, Stanford Health Care, Stanford Medicine, Stanford University, NYU Langone Health, New York University, LifeBridge Health, University of Colorado Hospital, University of Colorado Denver, Mayo Clinic, Cornell University, Weill Cornell Medicine, University of Virginia Hospital, University of Virginia Medical Center, University of Virginia, Capital District Health Authority, Capital Health, Columbia University Irving Medical Center, Columbia University, Clínica Las Condes, Augusta University, Augusta University Health, Universidade Federal de São Paulo, Universidade de Fortaleza, Hospital Geral de Fortaleza, Santa Casa Hospital
Language: English
Subfield: Clinical Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,295
OpenAlex ID: W4388973602