RecruitingNCT06708910

AI-based pCR Assessment/Prediction in HER2-Positive BC Using PET/MRI

Multiparametric 18F-FDG PET/MRI for Assessment and Prediction of Locoregional Therapy Response in HER2-positive Breast Cancer Patients Using Artificial Intelligence


Sponsor

Heinrich-Heine University, Duesseldorf

Enrollment

460 participants

Start Date

Jul 18, 2025

Study Type

OBSERVATIONAL

Conditions

Summary

Goal of the observational study: Based on PET/MRI data it is possible to differentiate between complete and incomplete pathological remission after neoadjuvant systemic therapy in HER2-positive breast cancer patients. The main question it aims to answer are: Primary endpoint: 1\) Sensitivity and specificity as co-primary endpoints for identification of HER2-positive breast carcinoma with complete pathologic remission (pCR; yT0 yN0) using 18F-FDG PET/MRI (response assessment) Secondary endpoint(s): 1. Accuracy for the identification of patients with HER2-positive breast carcinoma with complete pathologic remission (pCR; yT0 yN0) using 18F-FDG PET/MRI (response assessment) 2. Sensitivity, specificity, and accuracy for the identification of patients with HER2-positive breast carcinoma with complete pathologic remission (pCR) of the primary (yT0) after neoadjuvant therapy using 18F-FDG PET/MRI (response assessment) 3. Sensitivity, specificity, and accuracy for the identification of patients with HER2-positive breast carcinoma with complete pathologic remission (pCR) of locoregional lymph node metastases (yN0) after neoadjuvant therapy using 18F-FDG PET/MRI (response assessment) 4. Evaluation of pre-treatment (baseline) 18F-FDG PET/MRI for predicting therapy response of the primary and locoregional lymph node metastases in patients with HER2-positive breast carcinoma supported by artificial-intelligence (prediction) 5. Evaluation of 18F-FDG PET/MRI for predicting therapy response of the primary in patients with HER2-positive breast carcinoma after the first cycles of systemic therapy supported by artificial-intelligence (prediction) 6. Evaluation of 18F-FDG PET/MRI for predicting therapy response of locoregional lymph node metastases in patients with HER2-positive breast carcinoma after the first cycles of system therapy supported by artificial-intelligence (prediction) The guideline-recommended staging procedure (S3 Germany) using CT will be replaced by a whole-body 18F-FDG PET/MRI, including dedicated 18F-FDG PET/MRI of the breast. The histopathologic results of tissue samples obtained during routine clinical treatment after successful neoadjuvant systemic therapy will serve as a reference standard. The study protocol involves the following examinations for all included patients: 1. Baseline (pre-treatment) examination to substitute for the staging examinations specified in the S3 guideline: Initial whole-body 18F-FDG PET/MRI including 18F-FDG PET/MRI of the breast 2. Thoracic 18F-FDG PET/MRI including 18F-FDG PET/MRI of the breast after the first two cycles of systemic therapy 3. Thoracic 18F-FDG PET/MRI including 18F-FDG PET/MRI of the breast after completion of systemic therapy and immediately before clinically indicated surgery


Eligibility

Sex: FEMALEMin Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This study is using AI-based analysis of PET/MRI scans taken during neoadjuvant (pre-surgery) treatment to predict whether HER2-positive breast cancer will achieve a complete response (no remaining cancer at surgery), helping doctors personalize treatment plans. **You may be eligible if...** - You are a woman aged 18 or older - You have confirmed HER2-positive breast cancer - You are scheduled to receive chemotherapy before surgery (neoadjuvant systemic therapy) - You have no evidence of cancer spreading to distant organs - You can attend scheduled scan visits and provide written consent **You may NOT be eligible if...** - You have had another cancer diagnosis in the past 5 years - You have conditions that make MRI unsafe (e.g., certain implants) - You have severe kidney disease - You are pregnant or breastfeeding Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Locations(1)

Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf

Düsseldorf, North Rhine-Westphalia, Germany

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NCT06708910


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