Evaluation of Clinical Decision Support System for Scoring of ASPECT Score Using Brain CT Images

An Open Label, Single-center, Retrospective, Pivotal Study to Evaluate the Efficacy of Clinical Decision Support System for Scoring of ASPECT Score Using Brain CT Images

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04983927

Enrollment

326

Registered

2021-07-30

Start date

2021-08-11

Completion date

2021-12-06

Last updated

2022-01-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ischemic Stroke

Brief summary

cASPECTS is a software that has been pre-learned based on ASPECTS Score of ischemic stroke patients using brain CT images, and clinical decision support system for scoring ASPECTS score by automatically analyzing brain CT images by assisting the medical team. The specific aims of this study are to evaluate efficacy of cASPECTS for scoring ASPECTS Score compared to the sensitivity and specificity levels of human expert.

Interventions

DEVICEcASPECTS

Clinical decision support system for scoring ASPECTS score

Study design

Observational model

CASE_CONTROL

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

19 Years to No maximum

Healthy volunteers

Inclusion criteria

* Adults over 19 years old * Brain CT acquired

Exclusion criteria

* Patients with ischemic stroke in posterior circulation * Poor or incomplete brain CT image quality

Design outcomes

Primary

Measure	Time frame	Description
Differences between ASPECTS scores in golden standard and in cASPECTS	Within 4 weeks after collecting data	Mean difference between ASPECTS scores calculated by human experts and ASPECTS scores calculated by cASPECTS

Countries

South Korea

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026