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| Name | Class |
|---|---|
| GE Healthcare | INDUSTRY |
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Mammography remains the current standard in the detection of breast cancer. However, conventional two-view mammography will not detect all cancers. The major limiting factor of conventional mammography is the presence of superimposed breast tissue that can obscure clinically significant lesions. It is this limitation that decreases the sensitivity of mammography and leads to false negative results.
The recent development of digital detectors has allowed imaging technologies such as tomosynthesis to become clinically feasible. The examination, similar to conventional mammography with regard to patient positioning and glandular dose, allows acquisition of a digital data set that can be reconstructed and viewed in multiple sections. The ability of tomosynthesis to unmask overlapping structures has been shown in preliminary studies to increase lesion visibility. Used as either a primary imaging modality, or as an adjunct to screening mammography, tomosynthesis has the potential to provide increased sensitivity and a lower number of false negative examinations.
The purpose of this study is to compare radiologist impression of digital breast tomosynthesis to digital mammography with respect to their ability to see and characterize specific lesion features.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 1 | All enrolled subjects will undergo digital breast tomosynthesis. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Digital Breast Tomosynthesis Exam | Device | Digital Breast Tomosynthesis Exam consisting of single view (MLO) of each breast will be performed. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Reader Preference | upon recruitment/enrollment phase completion |
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Inclusion Criteria:
Exclusion Criteria:
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Adult women who have undergone previous screening with CR digital mammography and were scheduled for diagnostic workup with full-field digital mammography (FFDM).
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| Name | Affiliation | Role |
|---|---|---|
| Amy S Campbell, MD | University of South Carolina | Principal Investigator |
| Etta D Pisano, MD | University of North Carolina, Chapel Hill | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Breast Imaging Clinic; University of North Carolina Hospitals | Chapel Hill | North Carolina | 27514 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 17661053 | Background | Diekmann F, Bick U. Tomosynthesis and contrast-enhanced digital mammography: recent advances in digital mammography. Eur Radiol. 2007 Dec;17(12):3086-92. doi: 10.1007/s00330-007-0715-x. Epub 2007 Jul 28. | |
| 16696481 | Background | Gong X, Glick SJ, Liu B, Vedula AA, Thacker S. A computer simulation study comparing lesion detection accuracy with digital mammography, breast tomosynthesis, and cone-beam CT breast imaging. Med Phys. 2006 Apr;33(4):1041-52. doi: 10.1118/1.2174127. |
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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| 9356620 | Background | Niklason LT, Christian BT, Niklason LE, Kopans DB, Castleberry DE, Opsahl-Ong BH, Landberg CE, Slanetz PJ, Giardino AA, Moore R, Albagli D, DeJule MC, Fitzgerald PF, Fobare DF, Giambattista BW, Kwasnick RF, Liu J, Lubowski SJ, Possin GE, Richotte JF, Wei CY, Wirth RF. Digital tomosynthesis in breast imaging. Radiology. 1997 Nov;205(2):399-406. doi: 10.1148/radiology.205.2.9356620. |
| 17715109 | Background | Poplack SP, Tosteson TD, Kogel CA, Nagy HM. Digital breast tomosynthesis: initial experience in 98 women with abnormal digital screening mammography. AJR Am J Roentgenol. 2007 Sep;189(3):616-23. doi: 10.2214/AJR.07.2231. |
| D017437 |
| Skin and Connective Tissue Diseases |