- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04457700
CT-based Radiomics of ALN pCR (ypN0) in Breast Cancer Undergoing NAC
April 14, 2022 updated by: Tao OUYANG, Peking University
Computed Tomography-based Radiomics of Axillary Lymph Node Pathological Complete Remission (ypN0) in Breast Cancer Undergoing Neoadjuvant Chemotherapy
This is a prospective, single-center, non-randomized, non-controlled observational study.
Study Overview
Status
Recruiting
Detailed Description
Almost 55-62% of patients with triple-negative or human epidermal growth factor receptor 2 (HER2) positive, node-positive breast cancer achieve an axillary pathologic complete remission (pCR) after neoadjuvant chemotherapy (NAC).
To avoid surgery post-NAC, it is paramount to accurately identify patients who achieve pCR in axillary lymph node (ALN).
We found that patients with normal-appearing lymph nodes on computed tomography (CT) based radiomics of the axilla after chemotherapy had a lower risk of developing residual nodal disease.
However, the features of CT-based radiomics for pCR ALN following NAC has not been established yet.
This study aimed to assess the performance of CT-based radiomics in evaluating the response and predicting pCR of metastatic lymph nodes after NAC in breast cancer patients.
Study Type
Observational
Enrollment (Anticipated)
218
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Lize Wang, MD
- Phone Number: 5001 +86-10-88271119
- Email: lize2010@163.com
Study Contact Backup
- Name: Yingjian He, MD
- Phone Number: 8018 +86-10-88271119
- Email: mimi487@163.com
Study Locations
-
-
Beijing
-
Beijing, Beijing, China, 100142
- Recruiting
- Peking University Cancer Hospital
-
Contact:
- Lize Wang, MD
- Phone Number: 8018 +86-10-88271119
- Email: lize2010@163.com
-
Principal Investigator:
- Lize Wang, MD
-
Sub-Investigator:
- Jiwei Wang, MD
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 70 years (ADULT, OLDER_ADULT)
Accepts Healthy Volunteers
No
Genders Eligible for Study
Female
Sampling Method
Probability Sample
Study Population
Triple-negative or HER2-positve invasive breast cancer with axillary lymph node metastasis: stage T1-3N1-2M0.
Description
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.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
---|
Triple-negative and HER2 Positive breast cancer
Patients with triple-negative or HER2 Positive breast cancer, axillary lymph node metastasis who underwent NAC are eligible for this study.
Axillary lymph node metastasis is confirmed by fine needle aspiration (FNA) or core needle biopsy (CNB) at initial diagnosis.
CT-based radiomics will be uesd in evaluating the response and predicting pCR of metastatic lymph nodes after NAC in breast cancer patients.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
The features of CT-based radiomics for axillary lymph node achieved pCR after neoadjuvant chemotherapy
Time Frame: within 8 weeks after obtaining the post-surgery pathological results
|
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 Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Receiver operating characteristic (ROC) curve analysis
Time Frame: within 8 weeks after obtaining the post-surgery pathological results
|
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
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Lize Wang, MD, Breast center at Peking University Cancer Hospital
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (ACTUAL)
November 1, 2020
Primary Completion (ANTICIPATED)
July 30, 2022
Study Completion (ANTICIPATED)
December 30, 2022
Study Registration Dates
First Submitted
June 30, 2020
First Submitted That Met QC Criteria
June 30, 2020
First Posted (ACTUAL)
July 7, 2020
Study Record Updates
Last Update Posted (ACTUAL)
April 18, 2022
Last Update Submitted That Met QC Criteria
April 14, 2022
Last Verified
April 1, 2022
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- BCP28
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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