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Detection of intratumoral heterogeneity of breast cancer by multiparametric imaging using 18F-FDG-PET/MRT

Detection of intratumoral heterogeneity of breast cancer by multiparametric imaging using 18F-FDG-PET/MRT - GK-PET/MR_Tü-018

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
DRKS
Registry ID
DRKS00013891
Enrollment
60
Registered
2018-01-22
Start date
2018-04-23
Completion date
Unknown
Last updated
2025-04-07

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

Conditions

primary breasttumor C50

Interventions

Group 1: Pre- or postmenopausal women with a primary breast tumor, PET/MRT examination pre-surgery.

Sponsors

Universitätsklinikum Tübingen, Radiologiesche Klinik, Interv. u. Diagnostische Radiologie
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 99 Years

Inclusion criteria

Inclusion criteria: women, age =18 years, proven primary breast carcinoma (by punch biopsy, =14G) (subtypes luminal A, B, and HER-"/neu-pos. basal-like tumors) tumor size =10 mm, clinical indication for primary surgery, contraception, informed consent for clinical study, informed consent for useage of biomaterial

Exclusion criteria

Exclusion criteria: clinical indication for neo-adjuvant therapy, precnancy/breast feeding women, contra-indication for MRT such as metallic implants, pacemaker etc., clip-marking of breast tumor, contra-indication for MR-contrast agent Gadolinium, claustrophobia, high sensitivity to temperatur sensitivity, high sensitivity to noise, limited contractual capability, exclusion criteria due to StrlSchV such as job-related radiation exposure >15mSv/a

Design outcomes

Primary

MeasureTime frame
Feasibiliy: Recovery of complete datasets composed of PET/MR-image data and corresponding morphologic data (histopathological). Possibility to define different intra-tumoral cluster by imaging data.

Secondary

MeasureTime frame
Development and clinical use of machine-learning approaches for texture analysis of breast tumors, subtyping breast tumors by multiparametric imaging data sets regarding prognosis and therapy response, voxel-based analysis of PET/MR data sets and correlation with corresponding genom-, proteom- and metabolom-data sets

Countries

Germany

Contacts

Public ContactMarkus Hahn

Universitätsklinikum Tübingen, Frauenklinik

markus.hahn@med.uni-tuebingen.de07071-2982211

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026