Mammography: Transpara supports early breast cancer detection with AI

The introduction of artificial intelligence (AI) into medical diagnostics has brought about transformative changes, particularly in the early detection of breast cancer. One innovative solution: Transpara.

The software from ScreenPoint Medical helps with diagnostics, increases efficiency and also creates greater patient confidence in their medical care. Prof. Ralf-Thorsten Hoffmann and Dr. Sophia Blum from the Carl Gustav Carus University Hospital in Dresden explain exactly how.

"The technical implementation was surprisingly easy once the data protection issues had been resolved," explains Prof. Hoffmann. "The system is embedded in our existing processes, which makes day-to-day work much easier." Thanks to the automation, Transpara can be operated without additional effort, which means that images and data are processed automatically and results are available quickly.

The introduction of Transpara in mammography nevertheless meant a considerable investment and an intensive review of data protection standards. Once these bureaucratic hurdles had been cleared, the system could be seamlessly integrated into the existing infrastructure. "We have the system running in parallel with the doctors' work, without the need for active operation," explains Dr. Blum, one of the radiologists involved. This integration allows the medical staff to continue to focus on patient care, supported by the efficiency and accuracy of the AI.

In one of the largest screening programs in Denmark, the use of Transpara was found to reduce false positives and radiologists' workload by up to 62.6 percent.

Another significant study published in Lancet Oncology documented how the Transpara-assisted workflow was able to detect more cancers while reducing the radiologists' reading load by 44 percent, without an increase in patient recall. Dr. Blum and Prof. Hoffmann have had similar experiences.

"The accuracy of AI in detecting subtle abnormalities offers a valuable second opinion, which can be crucial, especially for borderline findings," emphasizes Prof. Hoffmann. Despite the short period of use to date, the potential of Transpara to improve the early detection of breast cancer is recognized. The technology is seen as an additional level of safety that is appreciated by patients and doctors alike. "Patients are very pleased with the additional level of analysis that Transpara provides. It reassures many of them to know that not only a doctor, but also precise technology is evaluating their images," adds Prof. Hoffmann.

"The feedback from patients has been consistently positive, especially because of the double check by man and machine," reports Dr. Blum. This feedback has further strengthened confidence in the system and shows how technology can help to improve and speed up the diagnostic process.

Transpara is not just a technical enhancement, but also a tool that strengthens patient confidence in diagnostic processes. The future envisages further integration of AI into everyday clinical practice, which should further increase efficiency and support medical staff in their work. "However, the technology will always remain a tool that supports the radiologist's decisions, not replaces them," concludes Dr. Blum.

Transpara has proven to be a valuable addition to breast cancer diagnostics by increasing diagnostic accuracy and improving efficiency. The introduction and application of Transpara is an example of how AI technologies have the potential to revolutionize medical diagnostics and address the shortage of specialists.