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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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06708910
Enrollment
460
Registered
2024-11-27
Start date
2025-07-18
Completion date
2031-07-31
Last updated
2025-09-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

HER2 Positive Breast Carcinoma

Brief 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

Interventions

None listed

Sponsors

University Hospital, Essen
CollaboratorOTHER
Marienhospital Bottrop
CollaboratorUNKNOWN
Heinrich-Heine University, Duesseldorf
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Female * HER2-positive breast carcinoma * legally competent female patients aged ≥ 18 years * willing and able to attend scheduled examinations * written informed consent for study participation * decision to receive neoadjuvant systemic therapy / exclusion of distant metastases

Exclusion criteria

* previous cancer diagnosis within the last five years or second, synchronous malignancy * contraindication to MRI examination * severe renal insufficiency * pregnancy or lactation

Design outcomes

Primary

MeasureTime frameDescription
Response assessment Primary EPFrom enrollment to the end of treatment at 15 weeksSensitivity 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

Secondary

MeasureTime frameDescription
Response assessment 2From enrollment to the end of treatment at 15 weeksSensitivity, 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 3From enrollment to the end of treatment at 15 weeksSensitivity, 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 1From enrollment to the end of treatment at 15 weeksAccuracy for the identification of patients with HER2-positive breast carcinoma with complete pathologic remission (pCR; yT0 yN0) using 18F-FDG PET/MRI
Prediction 23 weeks post NAST startEvaluation 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 33 weeks post NAST startEvaluation 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 1post baseline stagingEvaluation 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

Countries

Germany

Contacts

Primary ContactPD Dr. med. Kirchner
Julian.Kirchner@med.uni-duesseldorf.de+492118117552
Backup ContactDr. med. Jannusch
kai.jannusch@med.uni-duesseldorf.de+492118117552

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026