Automatisierte Mammasonographie und Mammographie: Differenzierung benigner und maligner Mammaläsionen

Abstract

The differentiating criteria from automatic sonography and mammography can, in principle, be used to evaluate the dignity of breast lesions. However, an optimization is necessary since the improvement in specificity does not compensate the loss in sensitivity.

Direct Measurement of Sound Velocity in Various Specimens of Breast Tissue

“…However, the fact that the reflexogen line gives information only about the average ultrasound velocity of all the traversed tissues above the line is a disadvantage, because an elevation of the line (caused by increased ultrasound velocity) may not be exactly correlated with just one hypoechoic or hyperechoic structure above the line. 9 This disadvantage may explain problems in detecting lesions smaller than 1 cm in diameter. Furthermore, variations in the composition of the traversed tissue (containing more or less fatty and mastopathic components) may also cause slight elevations of the reflexogen line, which may be within the range of changes expected from small tumors.…”

Best Practice Guideline – Empfehlungen der DEGUM zur Durchführung und Beurteilung der Mammasonografie

“…Durch die Fusionsforschungen wurde der computerbasierte Automatisierungsprozess in der komplementären Mammadiagnostik vorangetrieben, was für die Zukunft voraussichtlich an Bedeutung gewinnen wird, auch wenn derzeit noch keine routinemäßige Anwendung erfolgt [68].…”

“…Fusion research has advanced the computer-based automation process in complementary breast diagnostics, which, even if it is not yet routinely used, is likely to gain importance in the future [68].…”

The Future of Breast Cancer Diagnostics

“…While conventional tomography, a widely used radiologic technique in the past and still in use today, is characterized by the X-ray source and film simultaneously moving in opposite directions, only the X-ray source moves in flat panel tomosynthesis and the detector is stationary. In this way, many views (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25) algorithms which are now most common) are used to compute single slices from the source data. Contrast-enhanced mammography [27] also enables visualization of tumors without inference from superimposed structures ( fig.…”

“…Automated breast ultrasound [11] is highly desirable from a medical perspective (objective and reproducible results, improved documentation) and for cost reasons. Two principal variants of automated ultrasound are currently under investigation -direct integration of ultrasound in mammography systems, which enables both automated ultrasound scanning and fusion of the image data, and stand-alone ultrasound systems for automated breast scanning by technicians [11,12]. Image fusion is much more difficult with stand-alone systems which only allow simplified documentation of an ultrasound view of the entire breast.…”