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| Name | Class |
|---|---|
| UMC Utrecht | OTHER |
| Martini Hospital Groningen | OTHER |
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This analytical performance study aims to validate the SPCTRone system for use in breast conserving surgery of breast cancer patients. By collecting spectral biomarkers and correlating these with the golden standard of histopathological assessment by a pathologist, we aim to train and optimize an AI model that is able to achieve the following outcomes with classifying tissues:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Breadloaf slices | Only sliced specimen are scanned during phase 1 | ||
| Whole specimen & Breadloaf slices | Whole specimen and sliced specimen are scanned during phase 2 |
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| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic performance of SPCTRone system to assess margin status of breast cancer specimens | Diagnostic performance indicators are: Sensitivity, Specificity, Negative Predictive Value, and Accuracy. | Through study completion, an average of 6 months |
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Inclusion Criteria:
Exclusion Criteria:
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Patients undergoing breast conserving surgery
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Robin Merjenburgh | Contact | +31681119503 | robin@spctr.tech |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Martini Ziekenhuis | Recruiting | Groningen | Provincie Groningen | 9728NT | Netherlands |
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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| UMC Utrecht | Not yet recruiting | Utrecht | Utrecht | 3584CX | Netherlands |
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| D017437 |
| Skin and Connective Tissue Diseases |