Dilon Technologies

Kate Madden Yee

Nov 9, 2004

Dilon Technologies will showcase its dedicated scintimammography system, Dilon 6800, in its RSNA booth. The Newport News, VA-based company, which calls its approach breast-specific gamma imaging (BSGI), was established in 1996 out of a partnership with the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility, also in Newport News.

Dilon

In 1999, Dilon received clearance from the FDA for its technology and made its RSNA debut. Since then, it has weathered financial setbacks, but rallied to refine the unit and establish a sales and marketing force.

Configured much like a mammography unit, Dilon 6800 allows a woman to sit upright with her breast lying on the detector. The camera's gamma isolation shield holds the breast in place from the top, while also protecting the detector from background artifacts and reducing background scatter radiation.

Dilon 6800's detector incorporates 3,000 3 x 3-mm pixelized scintillation crystals and 48 miniature photomultiplier tubes, and measures 6 x 8 inches with 0.4 inches of dead space. Its detector and collimator can be positioned against the chest wall and rotated 360 degrees as the breast is imaged.

By Kate Madden Yee
AuntMinnie.com staff writer
November 10, 2004

Copyright © 2004 AuntMinnie.com

(A) Free-response receiver operating characteristic (FROC) curve for DBT-DINO and DINOv2 (Meta AI) on the detection task. DINOv2 achieved higher sensitivity than DBT-DINO across most false-positive thresholds. (B) Detection rates of DBT-DINO and DINOv2 for lesions that were ultimately found to be benign (n = 70) and lesions that were found to be cancerous (n = 66). Error bars represent 95% CIs estimated via patient-level bootstrapping with 1000 repetitions. Both models showed similar detection rates for cancerous lesions, whereas DINOv2 detected more benign lesions than DBT-DINO. (C) Example bounding box predictions for DBT-DINO and DINOv2 on the detection test set. Each image is a single two-dimensional section from a three-dimensional digital breast tomosynthesis volume; the first column shows a mediolateral oblique view, and the second and third columns show craniocaudal views. Both models struggled to detect very small lesions, such as the 3-mm-diameter lesion shown in the first column. FP = false positive.

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