skip to main content
Idioma:

Machine-learning algorithm in acute stroke: real-world experience

Chan, N. ; Sibtain, N. ; Booth, T. ; de Souza, P. ; Bibby, S. ; Mah, Y.-H. ; Teo, J. ; U-King-Im, J.M.

Clinical radiology, 2023-02, Vol.78 (2), p.e45-e51 [Periódico revisado por pares]

England: Elsevier Ltd

Texto completo disponível

Citações Citado por
  • Título:
    Machine-learning algorithm in acute stroke: real-world experience
  • Autor: Chan, N. ; Sibtain, N. ; Booth, T. ; de Souza, P. ; Bibby, S. ; Mah, Y.-H. ; Teo, J. ; U-King-Im, J.M.
  • Assuntos: Adult ; Aged ; Aged, 80 and over ; Algorithms ; Brain Ischemia ; Computed Tomography Angiography ; Female ; Humans ; Machine Learning ; Middle Aged ; Retrospective Studies ; Sensitivity and Specificity ; Stroke - diagnostic imaging ; Young Adult
  • É parte de: Clinical radiology, 2023-02, Vol.78 (2), p.e45-e51
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descrição: To assess the clinical performance of a commercially available machine learning (ML) algorithm in acute stroke. CT and CT angiography (CTA) studies of 104 consecutive patients (43 females, age range 19–93, median age 62) performed for suspected acute stroke at a single tertiary institution with real-time ML software analysis (RAPID™ ASPECTS and CTA) were included. Studies were retrospectively reviewed independently by two neuroradiologists in a blinded manner. The cohort included 24 acute infarcts and 16 large vessel occlusions (LVO). RAPID™ ASPECTS interpretation demonstrated high sensitivity (87.5%) and NPV (87.5%) but very poor specificity (30.9%) and PPV (30.9%) for detection of acute ischaemic parenchymal changes. There was a high percentage of false positives (51.1%). In cases of proven LVO, RAPID™ ASPECTS showed good correlation with neuroradiologists’ blinded independent interpretation, Pearson correlation coefficient = 0.96 (both readers), 0.63 (RAPID™ vs reader 1), 0.69 (RAPID™ vs reader 2). RAPID™ CTA interpretation demonstrated high sensitivity (92.3%), specificity (85.3%), and negative predictive (NPV) (98.5%) with moderate positive predictive value (PPV) (52.2%) for detection of LVO (N=13). False positives accounted for 12.5% of cases, of which 27.3% were attributed to arterial stenosis. RAPID™ CTA was robust and reliable in detection of LVO. Although demonstrating high sensitivity and NPV, RAPID™ ASPECTS interpretation was associated with a high number of false positives, which decreased clinicians’ confidence in the algorithm. However, in cases of proven LVO, RAPID™ ASPECTS performed well and had good correlation with neuroradiologists’ blinded interpretation. •RAPIDTM ASPECTS:•Demonstrated high sensitivity, but poor specificity for acute infarcts.•Is associated with a high percentage of false positives.•Correlates well with neuroradiologists' interpretation in cases of LVO.•RAPIDTM CTA demonstrated high sensitivity and specificity for LVO detection.
  • Editor: England: Elsevier Ltd
  • Idioma: Inglês
Links
Voltar para lista de resultados
Ir para página anteriorAnterior Resultado  5 AvançarIr para próxima página

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.