This study evaluates Heuron CTA, a software that helps doctors detect blockages in brain blood vessels using CT angiography images. The software's results will be compared with diagnoses made by medical specialists to assess its accuracy. If it performs well, it may help doctors diagnose these conditions more quickly and effectively.
This study aims to evaluate the efficacy of Heuron CTA in assisting the diagnosis of suspected large vessel occlusion using brain CT angiography. The study will determine whether Heuron CTA meets the predefined clinical success criteria, where the lower bound of the 95% confidence interval for sensitivity and specificity exceeds 80%, using the final clinical diagnosis by a group of surgeons as the reference standard. If Heuron CTA meets the success criteria, it will be considered effective in assisting in the diagnosis of large vessel occlusion.
Study Type
OBSERVATIONAL
Enrollment
270
This software automatically analyzes Computed Tomography Angiography (CTA) images to detect suspected large vessel occlusion, assisting surgeons in their diagnostic decisions
Gachon University Gil Medical Center
Incheon, Namdong-gu, South Korea
Sensitivity and specificity of Heuron CTA in determining the presence of suspected large vessel occlusion
Sensitivity and specificity of Heuron CTA in determining the presence of suspected large vessel occlusion were assessed by calculating their 95% confidence intervals (CIs) and determining whether the lower bound exceeded the clinical success criterion of 80%. The Clopper-Pearson confidence interval method12) was used to calculate the 95% CI.
Time frame: Within 8 weeks after collecting data
Accuracy, ROC Curve and AUC value for classifying suspected large vessel occlusion
Using the calculation method above, the accuracy for classifying suspected large vessel occlusion with a 95% confidence interval. The accuracy calculation method is the following: 100 × \[TP + TN\] / N. A ROC Curve was generated with the x-axis representing the false positive rate (1-specificity) and the y-axis representing sensitivity. The AUC value was calculated as the area under the ROC curve, with a 95% confidence interval provided.
Time frame: Within 8 weeks after collecting data
Sensitivity of Heuron CTA in determining suspected large vessel occlusion for each occluded vessel
For the positive group, Sensitivity of Heuron CTA in determining suspected large vessel occlusion for each occluded vessel was calculated, along with a 95% confidence interval.
Time frame: Within 8 weeks after collecting data
Sensitivity and specificity of Heuron CTA in determining suspected large vessel occlusion based on adjusted occlusion criteria
When the reference standard categories of None, Stenosis but not near occlusion, and Near occlusion were classified as "Large Vessel Occlusion Negative," and Occlusion was classified as "Large Vessel Occlusion Positive," the sensitivity and specificity of Heuron CTA were calculated along with a 95% confidence interval.
Time frame: Within 8 weeks after collecting data
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