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Neuroradiology

, Volume 60, Issue 12, pp 1267–1272 | Cite as

Automated ASPECT rating: comparison between the Frontier ASPECT Score software and the Brainomix software

  • Juliane Goebel
  • Elena Stenzel
  • Nika Guberina
  • Isabel Wanke
  • Martin Koehrmann
  • Christoph Kleinschnitz
  • Lale Umutlu
  • Michael Forsting
  • Christoph Moenninghoff
  • Alexander Radbruch
Diagnostic Neuroradiology
  • 116 Downloads

Abstract

Purpose

Computer-aided diagnosis (CAD) appears promising in early ischemic change detection computed tomography (CT). This study aimed to compare the performance of two new CAD systems (Frontier ASPECTS Prototype and Brainomix) with two experienced readers in selected patients with suspected acute ischemic stroke.

Methods

Retrospectively, non-contrast brain CTs of 150 patients suspected for acute middle cerebral artery ischemia were analyzed with respect to ASPECTS first separately, than in consensus by two senior radiologists, and by use of Frontier and Brainomix. Besides the fully automatic Frontier and Brainomix readings (Frontier_1, Brainomix_1), readings adjusted for the affected brain side (known by CT angiography or clinical presentation, Frontier_2, Brainomix_2) were assessed. Statistical analysis was performed by intraclass correlation and Bland-Altman statistics.

Results

The score-based ASPECTS readings of Brainomix_1, Brainomix_2, both radiologists, and the expert consensus reading correlated highly (r = 0.714 to 0.841; always p < 0.001), whereas Frontier_1 and Frontier_2 correlated only lowly or moderately with both radiologists, the expert consensus reading, and Brainomix (r = 0.471 to 0.680; always p < 0.001). Bland-Altman analysis revealed lower mean ASPECT difference and standard deviation of difference for Brainomix_2 (mean difference = −0.2; SD = 1.15) compared to Frontier_2 (mean difference = 1.2; SD = 1.76). Correlation of region-based ASPECTS reading with the expert consensus reading was moderate for Brainomix_2 (r = 0.534), but only low for Frontier_2 (r = 0283; always p < 0.001).

Conclusion

We found high agreement in ASPECTS rating between both radiologists, expert consensus reading, and Brainomix, but only low to moderate agreement to Frontier.

Keywords

Artificial intelligence Computer-aided diagnosis Early ischemic change detection Brain computed tomography ASPECTS 

Notes

Compliance with ethical standards

Funding

No funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in the studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. For this type of study formal consent is not required.

Informed consent

Informed consent was obtained from all individual participants included in the study.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Juliane Goebel
    • 1
  • Elena Stenzel
    • 1
  • Nika Guberina
    • 1
  • Isabel Wanke
    • 1
  • Martin Koehrmann
    • 2
  • Christoph Kleinschnitz
    • 2
  • Lale Umutlu
    • 1
  • Michael Forsting
    • 1
  • Christoph Moenninghoff
    • 1
  • Alexander Radbruch
    • 1
  1. 1.Department of Diagnostic and Interventional Radiology and NeuroradiologyUniversity Hospital EssenEssenGermany
  2. 2.Clinic of NeurologyUniversity Hospital EssenEssenGermany

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