Breast Cancer Clinical Trial
Official title:
The Clinical Value of an Artificial Intelligence System Using Abbreviated Protocol of Breast MRI Facilitates Classification of Breast Lessions
NCT number | NCT05892380 |
Other study ID # | AMRI01 |
Secondary ID | |
Status | Not yet recruiting |
Phase | |
First received | |
Last updated | |
Start date | July 1, 2023 |
Est. completion date | August 1, 2025 |
This study aims to use a combination of abbreviated protocol and artificial intelligence to automatically identify lesions and make diagnosis without decreasing the diagnostic accuracy of breast cancer, thus enhancing the comfort of patient examination, accelerating the flow of examination and reducing the load of clinical work.
Status | Not yet recruiting |
Enrollment | 800 |
Est. completion date | August 1, 2025 |
Est. primary completion date | May 1, 2025 |
Accepts healthy volunteers | |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: 1. Patients with breast lesions detected by ultrasound and mammography that cannot be characterized 2. Patients who were consecutively included in our hospital for breast MRI without treatment 3. Underwent preoperative full-protocol breast MRI 4. Pathological results are available, of which benign lesions can be determined by follow-up Exclusion Criteria: 1. Poor MRI image quality 2. Patients who have been received the biopsy |
Country | Name | City | State |
---|---|---|---|
China | Fudan university Shanghai Cancer Center | Shanghai | Shanghai |
Lead Sponsor | Collaborator |
---|---|
Fudan University | Bayer |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Comparison between the diagnostic performance of?AP breast MRI + AI? vs. ?Radiologist?, using the pathological results as golden standard, | Comparison of AUC, sensitivity, specificity, Positive Predictive Value (PPV) and Negative Predictive Value (NPV) between?AP breast MRI + AI? vs. ?Radiologist?, using the pathological results as golden standard, | 2 years | |
Secondary | Comparison of the scan time of abbreviated and full protocol | Comparison of the scan time of abbreviated and full protocol | 2 years | |
Secondary | Comparison of the interpretation time of abbreviated and full protocol | Comparison of the interpretation time of abbreviated and full protocol. Although abbreviated saves scan time, the interpretation time may increase because the usage of AI. | 2 years |
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