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

NCT04909554 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 301

Last updated 2024-08-06

No results posted yet for this study

Summary

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.

Conditions

Sponsors & Collaborators

  • Shantou Central Hospital

    collaborator OTHER

  • The First Affiliated Hospital of Clinical Medicine of Guangdong Pharmaceutical University

    collaborator UNKNOWN

  • First People's Hospital of Foshan

    collaborator OTHER

  • Guangdong Provincial People's Hospital

    lead OTHER

Principal Investigators

  • Kun Kun, MD · Guangdong Provincial People's Hospital

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-01-01
Primary Completion
2023-07-30
Completion
2023-12-30

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04909554 on ClinicalTrials.gov