HER2-positive Breast Cancer Clinical Trial
Official title:
Computed Tomography-based Radiomics of Axillary Lymph Node Pathological Complete Remission (ypN0) in Breast Cancer Undergoing Neoadjuvant Chemotherapy
NCT number | NCT04457700 |
Other study ID # | BCP28 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | November 1, 2020 |
Est. completion date | December 30, 2022 |
Verified date | April 2022 |
Source | Peking University |
Contact | Lize Wang, MD |
Phone | +86-10-88271119 |
lize2010[@]163.com | |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
This is a prospective, single-center, non-randomized, non-controlled observational study.
Status | Recruiting |
Enrollment | 218 |
Est. completion date | December 30, 2022 |
Est. primary completion date | July 30, 2022 |
Accepts healthy volunteers | No |
Gender | Female |
Age group | 18 Years to 70 Years |
Eligibility | Inclusion Criteria: - Triple-negative or HER2-positve invasive breast cancer with axillary lymph node metastasis by confirmed by fine needle aspiration or core needle biopsy. - Underwent computed tomography for assessment of axillary lymph node status before and after neoadjuvant chemotherapy. - Attend the study voluntarily, sign the informed consent. Exclusion Criteria: - Contradiction for adjuvant chemotherapy. - Contradiction for proceeding surgery. |
Country | Name | City | State |
---|---|---|---|
China | Peking University Cancer Hospital | Beijing | Beijing |
Lead Sponsor | Collaborator |
---|---|
Peking University |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | The features of CT-based radiomics for axillary lymph node achieved pCR after neoadjuvant chemotherapy | Sensitivity, specificity, positive-predictive value (PPV) and negative-predictive value (NPV) of CT-based radiomics for axillary lymph node status after neoadjuvant chemotherapy will be assessed. | within 8 weeks after obtaining the post-surgery pathological results | |
Secondary | Receiver operating characteristic (ROC) curve analysis | The diagnostic performance of CT-based radiomics for the evaluation of ALN after NAC was evaluated with receiver operating characteristic (ROC) curve analysis. The diagnostic accuracy was estimated by calculating the area under the ROC curve | within 8 weeks after obtaining the post-surgery pathological results |
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