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Completed

NCT Number: NCT04909554

MRI-based Approaches for Multi-parametric Model to Early Predict Pathological Complete Response to Neoadjuvant Therapy in Breast Cancer

The purpose of this clinical research is to evaluate the accuracy of a multi-parametric model based on magnetic resonance imaging (MRI) in predicting pathological complete response (pCR) after the first cycle of neoadjuvant therapy (NAT) given to patients with locally advanced breast cancer, thus allowing early chemotherapy regimen modification to increase number of patients achieving pCR or save patients from toxic effects of ineffective chemotherapy.

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Key information

Age range

18 year and older

Sex eligibility

Female

Study type

Observational

Primary location

Guangdong Provincial People's Hospital

Guangzhou, Guangdong, 510080, China

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

  • 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;

Treatment and study plan

Primary outcomes

  1. Sensitivity

    Time frame: up to 28 weeks

    Testing the sensitivity of NeoMDSS model to predict pCR using the area under receiver operating characteristic curve.

Secondary outcomes

  1. Specificity

    Time frame: up to 28 weeks

    Testing the sensitivity of NeoMDSS model to predict non-pCR using the area under receiver operating characteristic curve.

  2. Specificity

    Time frame: up to 6 weeks

    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.

Other outcomes

  1. Shrinkage pattern

    Time frame: up to 28 weeks

    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.

  2. correlation between shrinkage patterns and efficacy

    Time frame: up to 28 weeks

    The correlation between tumor regression shrinkage patterns and treatment efficacy.

Sponsors and collaborators

Lead sponsor

Guangdong Provincial People's Hospital

Other

Collaborators

  • First People's Hospital of Foshan
  • Shantou Central Hospital
  • The First Affiliated Hospital of Clinical Medicine of Guangdong Pharmaceutical University

Registry information

Official study title

MRI-based Approaches for Multi-parametric Model to Early Predict Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer (NeoMDSS)

Acronym: NeoMDSS

Important dates

Study start
2019
Primary completion
2023
Study completion
2023
First posted
Jun 1, 2021
Registry last updated
Aug 6, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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