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

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:
        • 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.

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

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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