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cELVO is a software that has been pre-learned based on a large vessel occlusion diagnosis model using brain CT images, and clinical decision support system for diagnosing large vessel occlusion by automatically analyzing brain CT images by assisting the medical team.
The specific aims of this study are to evaluate efficacy of cELVO compared to the sensitivity and specificity levels of medical team to diagnosis with and without cELVO used.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Positive group | A patient diagnosed with large vessel occlusion after a non-contrast CT, CT perfusion and CT angiography |
| |
| Negative group | A normal person or a patient not diagnosed with intracranial haemorrhage after a non-contrast CT, CT perfusion and CT angiography |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| 1st Reading | Device | The medical team visually checks the non-contrast CT without cELVO and diagnose the large vessel occlusion. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity and specificity of medical team compared with/without cELVO | Sensitivity and specificity of determining large vessel occlusion of medical team when using cELVO compared to not using cELVO | Within 2 weeks after completion of reading |
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy of medical team compared with/without cELVO | Accuracy of determining large vessel occlusion of medical team when using cELVO compared to not using cELVO | Within 2 weeks after completion of reading |
| ROC Curve for medical team compared with/without cELVO |
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Inclusion Criteria:
Exclusion Criteria:
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(1) Adults over 19 years old (2) Brain non-contrast CT, CT perfusion and CT angiography acquired (3) who confirmed with large vessel occlusion(positive group) or not large vessel occlusion or normal(negative group)
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| Name | Affiliation | Role |
|---|---|---|
| Myeong Jin Kim, M.D.pH.D | Gachon University Gil Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Gachon University Gil Medical Center | Incheon | Namdong-gu | 21565 | South Korea |
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| ID | Term |
|---|---|
| D000083242 | Ischemic Stroke |
| ID | Term |
|---|---|
| D020521 | Stroke |
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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| ID | Term |
|---|---|
| D058327 | Norwood Procedures |
| D018729 | Fontan Procedure |
| ID | Term |
|---|---|
| D006348 | Cardiac Surgical Procedures |
| D013504 | Cardiovascular Surgical Procedures |
| D013514 | Surgical Procedures, Operative |
| D019616 | Thoracic Surgical Procedures |
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|
| 2nd Reading | Device | The medical team visually checks the non-contrast CT with assistance from the cELVO and diagnose the large vessel occlusion. |
|
|
ROC Curve of determining large vessel occlusion of medical team when using cELVO compared to not using cELVO |
| Within 2 weeks after completion of reading |
| AUC values for medical team compared with/without cELVO | AUC values of determining large vessel occlusion of medical team when using cELVO compared to not using cELVO | Within 2 weeks after completion of reading |
| Sensitivity and specificity of each reader compared with/without cELVO | Sensitivity and specificity of determining large vessel occlusion of each reader when using cELVO compared to not using cELVO | Within 2 weeks after completion of reading |
| Sensitivity and specificity of cELVO | Sensitivity and specificity of cELVO in diagnosis of large vessel occlusion based on golden standards | Within 2 weeks after completion of reading |
| D009422 |
| Nervous System Diseases |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D018610 | Heart Bypass, Right |
| D000714 | Anastomosis, Surgical |
| D058017 | Vascular Grafting |
| D014656 | Vascular Surgical Procedures |