Brain Metastases
Conditions
Brief summary
BT-M01 is a software that has been pre-learned based on a brain metastasis detection model using brain MR images, and clinical decision support system for brain metastasis by automatically analyzing brain MR images by assisting the medical team. The specific aims of this study are to evaluate efficacy of BT-M01 for brain metastasis compared to the sensitivity and false positive rates of radiologists group.
Interventions
Clinical decision support system for detecting brain metastasis
Sponsors
Study design
Eligibility
Inclusion criteria
* Adults over 19 years old * Brain MR acquired * Positive group: A patient diagnosed with brain metastasis after a brain MR * Negative group: A normal person or a patient not diagnosed with brain metastasis after a brain MR
Exclusion criteria
* Poor or incomplete brain MR image quality * A patient with other pathological lesion in brain * A patients with a history of primary brain tumors
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Sensitivity and false positive rates of BT-M01 | Within 4 weeks after enrollment | Sensitivity and false positive rates of BT-M01 in detection of brain metastasis based on golden standards |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Positive predictive values of BT-M01 | Within 4 weeks after enrollment | Positive predictive values of BT-M01 in detection of brain metastasis based on golden standards |
| Sensitivity and Positive predictive values of BT-M01 by primary cancer | Within 4 weeks after enrollment | Sensitivity and positive predictive values of BT-M01 in detection of brain metastasis based on golden standards by primary cancer |
| Dice coefficient of BT-M01 | Within 4 weeks after enrollment | Dice coefficient of BT-M01 in detection of brain metastasis based on golden standards |
Countries
South Korea