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Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
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Semi-automated cerebral aneurysm segmentation and geometric analysis for WEB sizing utilizing a cloud-based

Ansaar T Rai1, Ryan G Brotman2, Gerald R Hobbs3

  • 1Interventional Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University School of Medicine, Morgantown, WV, USA.

Interventional Neuroradiology : Journal of Peritherapeutic Neuroradiology, Surgical Procedures and Related Neurosciences
|April 7, 2021
PubMed
Summary

The cloud-based SurgicalPreview platform shows good reliability and agreement for aneurysm measurements compared to manual methods. This aids in accurate selection of the WEB device for treatment.

Keywords:
WEBcomputationsizing

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Area of Science:

  • Neurosurgery
  • Medical Imaging Analysis
  • Device Selection

Background:

  • Accurate aneurysm measurements are critical for appropriate WEB device selection.
  • Manual measurement methods can be time-consuming and prone to variability.
  • A cloud-based platform offers a potential solution for standardized aneurysm analysis.

Purpose of the Study:

  • To validate the accuracy and reliability of the cloud-based SurgicalPreview (SP) platform.
  • To compare SP measurements against traditional manual measurements for intracranial aneurysms.
  • To assess the utility of SP in predicting the correct WEB device size.

Main Methods:

  • Two sets of measurements for 40 aneurysms using both SP and manual methods.
  • Intra-class correlation coefficient (ICC) for reliability assessment.
  • Bland-Altman plots and Kappa coefficient for agreement analysis.

Main Results:

  • SurgicalPreview demonstrated excellent reliability for repeat measurements of aneurysm diameter, height, and neck.
  • Good agreement was found between SP and manual methods for aneurysm diameter and height.
  • Strong agreement was observed in predicting WEB diameter using SP, with moderate agreement for WEB height.

Conclusions:

  • The SurgicalPreview platform offers reliable and accurate aneurysm measurements.
  • SP shows good agreement with manual methods, particularly for predicting WEB device size.
  • This validation supports the use of SP for improved WEB device selection in clinical practice.