Frontiers in Neurology (Nov 2023)

Performance of RAPID noncontrast CT stroke platform in large vessel occlusion and intracranial hemorrhage detection

  • Vivek Yedavalli,
  • Jeremy Josef Heit,
  • Seena Dehkharghani,
  • Hafez Haerian,
  • John Mcmenamy,
  • Justin Honce,
  • Vincent M. Timpone,
  • Christopher Harnain,
  • Andrew Kesselman,
  • Anthony Filly,
  • Adam Beardsley,
  • Brian Sakamoto,
  • Chris Song,
  • James Montuori,
  • Benjamin Navot,
  • Francisco Villar Mena,
  • Dan-Victor Giurgiutiu,
  • Felipe Kitamura,
  • Fabricio Oliveira Lima,
  • Henrique Silva,
  • Francisco Jose Mont’Alverne,
  • Gregory Albers

DOI
https://doi.org/10.3389/fneur.2023.1324088
Journal volume & issue
Vol. 14

Abstract

Read online

BackgroundNoncontrast 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.AimsThe 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.MethodsIn 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.ResultsA 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).ConclusionThe 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.

Keywords