MRI-based Approaches for Multi-parametric Model to Early Predict Pathological Complete Response to Neoadjuvant Therapy in Breast Cancer (NeoMDSS)
MRI-based Approaches for Multi-parametric Model to Early Predict Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer (NeoMDSS)
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Breast cancer is the most prevalent cancer among women worldwide. NAT has been well established in managing breast cancer for patients with locally advanced cancer and early-stage operable breast cancers of specific molecular subtypes. Though pCR has been demonstrated to be associated with better survival, it can only be judged by pathological testing of surgically resected specimens. Thus, predicting pCR earlier during NAT is imperative and can timely switch to a new personalized treatment strategy and exempt from unnecessary chemotherapy toxicity for patients.
This is a multicenter, prospective cohort study of 301 patients undergoing MRI after the first cycle of neoadjuvant chemotherapy. This project plans to establish and validate a model for determining pCR during NAT in breast cancer based on clinical information, imaging and pathological information of patients in multiple centers, in order to provide important references for further early diagnosis and personalized treatment.
- Collecting MRI images data, clinical and pathological information, treatment regimens, and curative effect information to build an MRI-based, multi-parametric model.
- Evaluating the performance of model through internal and external validation cohort by using the receiver operating characteristic (ROC) curve, the area under the curve (AUC), discrimination and calibration measures.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Kun Wang, MD
- Phone Number: 80630 020-83827812
- Email: gzwangkun@126.com
Study Contact Backup
- Name: Yuanqi Chen, MS
- Phone Number: 80631 13798818919
- Email: chen13798818919@163.com
Study Locations
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Guangdong
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Guangzhou, Guangdong, China, 510080
- Guangdong Provincial People's Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
For training cohort:
Inclusion Criteria:
- Age ≥18 years;
- Histologically confirmed invasive breast carcinoma;
- Clinical stage II-III at presentation;
- Complete basic information and image data;
- Have MRI imaging data at baseline and after the first cycle of NAC;
- Finish the standard NAC treatment and undergo surgery;
Exclusion Criteria:
- With chemotherapy contraindications;
- Multifocal of multicentric lesions;
- Poor quality of MRI images;
- For validation cohort:
Inclusion Criteria:
- Age ≥18 years;
- Complete basic information and image data;
- Clinical stage II-III at presentation;
- Scheduled for neoadjuvant chemotherapy;
- Eastern Cooperative Oncology Group (ECOG) performance status of 0-1.
- Signed informed consent;
Exclusion Criteria:
- With chemotherapy contraindications;
- Metastatic breast cancer;
- Multifocal of multicentric lesions;
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
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the training cohort
From January 2019 to December 2020, 140 patients from Guangdong Province People's Hospital with complete clinicopathological information and available images of MRI before treatment and after 1st-NAT were retrospectively recruited for the training cohort
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the internal validation cohort
From June 2021 and December 2023, 120 patients from Guangdong Province People's Hospital were prospectively recruited for the internal validation cohort.
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the external validation cohort
From June 2021 and December 2023, 41 patients from Shantou Central Hospital, The First Affiliated Hospital of Guangdong Pharmaceutical University and The First People's Hospital of Foshan were prospectively recruited for the external validation cohort.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity
Time Frame: up to 28 weeks
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Testing the sensitivity of NeoMDSS model to predict pCR using the area under receiver operating characteristic curve.
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up to 28 weeks
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Specificity
Time Frame: up to 28 weeks
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Testing the sensitivity of NeoMDSS model to predict non-pCR using the area under receiver operating characteristic curve.
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up to 28 weeks
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Specificity
Time Frame: up to 6 weeks
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Testing the difference in the tumor shrinkage patterns on magnetic resonance imaging (MRI) in triple-negative breast cancer patients receiving neoadjuvant therapy , as well as the correlation between tumor regression pattern and efficacy.
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up to 6 weeks
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Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Shrinkage pattern
Time Frame: up to 28 weeks
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The difference in tumor regression shrinkage patterns between the different treatment groups.
Based on the MRI after the first cycle, the tumor SPs were grouped into three categories: CS, diffuse decrease, and no change or enlargement.
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up to 28 weeks
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correlation between shrinkage patterns and efficacy
Time Frame: up to 28 weeks
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The correlation between tumor regression shrinkage patterns and treatment efficacy.
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up to 28 weeks
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Study Chair: Kun Kun, MD, Guangdong Provincial People's Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 20210504
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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