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Use Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI. Build an abbreviated protocal, and investigate whether an abbreviated protocol was suitable for breast magnetic resonance imaging screening for breast cancer in high-risk Chinese women, which can shorten the examination time and avoid enhanced imaging while ensuring the accuracy of the diagnosis.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| high risk population | women at high risk of breast cancer undergoing enhanced MRI |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| no intervention | Other | no intervention |
|
| Measure | Description | Time Frame |
|---|---|---|
| screening yield | compare the rates of detection of breast cancers in the screening of high-risk populations between the Breast MRI full sequence, contrast-enhanced and non-contrast-enhanced sequence. | 5 years |
| Measure | Description | Time Frame |
|---|---|---|
| The accuracy of radiologists and deep learning models | compare the sensitivity,specificity, positive predictive value and negative predictive value of breast tumor detection by radiologists and deep learning models. | 5 years |
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Inclusion Criteria:
Exclusion Criteria:
female
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| shu wang, doctor | Contact | 86+010-88324010 | shuwang@pkuph.edu.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Peking university people's hospital | Recruiting | Beijing | Beijing Municipality | 100044 | China |
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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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| Peking University People's Hospital | Recruiting | Beijing | Beijing Municipality | 100044 | China |
|
| D017437 |
| Skin and Connective Tissue Diseases |