The SenoUnit of the Radiology Department at the University Hospital Leipzig intends to procure a state-of-the-art digital high-performance mammography system as part of the technical modernization. The goal is to integrate a powerful and future-proof system that meets the highest demands for imaging and interventional applications. The specified system is to include a separate biopsy unit, consisting of a vacuum core biopsy device and an integrated biopsy X-ray system. Additionally, a tomosynthesis function for high-resolution, layered representation of breast tissue is required, as well as a stereotactic function that allows for tomosynthesis-supported biopsies. The system must also permit the performance of contrast-enhanced mammographies and support both standing and sitting positions to ensure flexible and patient-oriented examinations. A reporting workstation with integrated AI-supported CAD function for intelligent diagnostic support is also part of the minimum requirements. The proposed system should seamlessly integrate into existing clinical workflows and meet the highest quality and safety standards.
LOT-0001
Mammography.
The SenoUnit of the Radiology Department at the University Hospital Leipzig intends to procure a state-of-the-art digital high-performance mammography system as part of the technical modernization. The goal is to integrate a powerful and future-proof system that meets the highest demands for imaging and interventional applications. The specified system is to include a separate biopsy unit, consisting of a vacuum core biopsy device and an integrated biopsy X-ray system. Additionally, a tomosynthesis function for high-resolution, layered representation of breast tissue is required, as well as a stereotactic function that allows for tomosynthesis-supported biopsies. The system must also permit the performance of contrast-enhanced mammographies and support both standing and sitting positions to ensure flexible and patient-oriented examinations. A reporting workstation with integrated AI-supported CAD function for intelligent diagnostic support is also part of the minimum requirements. The proposed system should seamlessly integrate into existing clinical workflows and meet the highest quality and safety standards.