Pilot Study on the Detection of Simulated Lesions Using a 2D and 3D Digital Full-Field Mammography System with a Newly Developed High Resolution Detector Based on Two Shifts of a-Se

Abstract

!Purpose: Experimental study of a new system for digital 2D and 3D full-field mammography (FFDM) using a high resolution detector based on two shifts of a-Se. Material and Methods: Images were acquired using the new FFDM system Amulet ® (FujiFilm, Tokio, Japan), an a-Se detector (receptor 24 × 30 cm 2 , pixel size 50 µm, memory depth 12 bit, spatial resolution 10 lp/mm, DQE > 0.50). Integrated in the detector is a new method for data transfer, based on optical switch technology. The object of investigation was the Wisconsin Mammographic Random Phantom, Model 152A (Radiation Measurement Inc., Middleton, WI, USA) and the same parameters and exposure data (Tungsten, 100 mAs, 30 kV) were consistently used. We acquired 3 different pairs of images in the c-c and ml planes (2D) and in the c-c and c-c planes with an angle of 4 degrees (3D). Five radiologists experienced in mammography (experience ranging from 3 months to more than 5 years) analyzed the images (monitoring) which had been randomly encoded (random generator) with regard to the recognition of details such as specks of aluminum oxide (200-740 µm), nylon fibers (0.4-1.6 mm) and round lesions/masses (diameters 5-14 mm), using special linear glasses for 3D visualization, and compared the results. Results: A total of 225 correct positive decisions could be detected: we found 222 (98.7 %) correct positive results for 2D and 3D visualization in each case. Conclusion:The results of this phantom study showed the same detection rates for both 2D and 3D imaging using full field digital mammography. Our results must be confirmed in further clinical trials.

Full Field Digital Mammography (FFDM) versus CMOS Technology versus Tomosynthesis (DBT) - Which System Increases the Quality of Intraoperative Imaging?

“…The future use of 3-D technology in mammography including 3-D specimen radiograms also offers the potential to improve quality. The prerequisite for this is the integration of all components in an efficient PACS system for the online exchange of information between diagnosticians, pathologists and surgeons as part of a quality management drive [37]. …”

Percent Mammographic Density and Dense Area as Risk Factors for Breast Cancer

“…The primary aim of this analysis was to assess in how far absolute DA of a mammogram can or cannot improve the estimation of breast cancer risk. It is known that mammographic dense areas are highly correlated to both, the amount of epithelial breast cells and the amount of extracellular matrix [37,38]. Therefore the DA might have a higher correlation to the absolute count of epithelial cells, and it has been hypothesized that the correlation of breast cancer risk with mammographic characteristics could be explained stochastically.…”

Mammographic Density and Prediction of Nodal Status in Breast Cancer Patients

“…All mammograms were read in random order by two different observers who were unaware of any previous classifications or pathological findings. The average of the two observersʼ values for percentage mammographic density (PMD) was used for this analysis, into which only measurements of contralateral cranio-caudal (CC) images were included [36,37].…”