Cancer centers implement latest techniques for breast care

AuntMinnie.com staff writers

May 12, 2004

Computer-aided detection (CAD) systems and breast biopsy tools were the new technologies most frequently invested in by U.S. cancer centers, according to a survey by the Association of Community Cancer Centers (ACCC).

The Rockville, MD-based organization surveyed 120 hospital cancer programs and oncology private practices about their breast care programs and services. The results of the survey showed that 87% of the centers nationwide offered a comprehensive breast care program with prevention, early detection, treatment, rehabilitation, and palliation components. In addition, 60% stated that their institution had a separate facility for their breast care patients.

Twenty-seven percent of the centers reported that they purchased CAD systems in 2002, with 21% reporting that they bought biopsy tools.

A summary of the survey can be found in the May/June Oncology Issues journal.

By AuntMinnie.com staff writers
May 13, 2004

Related Reading

Computer assistance aids mammographers in making more specific diagnosis, avoiding biopsy, March 16, 2004

Computer analysis does not improve mammographic detection of breast cancer, February 4, 2004

Probability calculator identifies cancers dismissed by mammographers, January 29, 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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