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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 mass in 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 |
|---|---|---|---|
| Clinically symptomatic patients | Clinically symptomatic patients (defined as palpable masses, nipple discharge, asymmetric thickening or nodules, and abnormal skin changes according to the guidelines) should be examined by BMRI at the judgment of the clinician. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| MRI | Diagnostic Test | undergoing enhanced MRI |
|
| Measure | Description | Time Frame |
|---|---|---|
| Breast Cancer Screening | Compare the area under the curve of the deep learning model of the BMRI full sequence, contrast-enhanced and non-contrast-enhanced sequence in the diagnosis of breast cancer. | 5 years |
| Measure | Description | Time Frame |
|---|---|---|
| The accuracy of radiologists and deep learning models | Under the conditions of BMRI full sequence, contrast-enhanced and non-contrast-enhanced sequences, 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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Clinically symptomatic patients (defined as palpable masses, nipple discharge, asymmetric thickening or nodules, and abnormal skin changes according to the guidelines) should be examined by BMRI at the judgment of the clinician.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yi Wang, doctor | Contact | 86+010-88325813 | wangyi@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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| Health economics |
Compare the examination time, reading time and cost of BMRI full sequence, contrast-enhanced and non-contrast-enhanced sequences. |
| 5 years |
| D017437 |
| Skin and Connective Tissue Diseases |