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Negative Predictive Value of Breast-Specific Gamma Imaging in Low Suspicion Breast Lesions: A Potential Means for Reducing Benign Biopsies

2011; Wiley; Volume: 17; Issue: 3 Linguagem: Inglês

10.1111/j.1524-4741.2011.01077.x

ISSN

1524-4741

Autores

R. Keßler, Joseph Sutcliffe, Lisa M. Bell, Yong Bradley, Shane B. Anderson, Kevin Banks,

Tópico(s)

Medical Imaging Techniques and Applications

Resumo

The Breast JournalVolume 17, Issue 3 p. 319-321 LETTER TO THE EDITOR Negative Predictive Value of Breast-Specific Gamma Imaging in Low Suspicion Breast Lesions: A Potential Means for Reducing Benign Biopsies Rebecca Kessler DO, Rebecca Kessler DO Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TexasSearch for more papers by this authorJoseph B Sutcliffe MD, Joseph B Sutcliffe MD Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TexasSearch for more papers by this authorLisa Bell MD, Lisa Bell MD Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TexasSearch for more papers by this authorYong C Bradley MD, Yong C Bradley MD Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TexasSearch for more papers by this authorShane Anderson MD, Shane Anderson MD Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TexasSearch for more papers by this authorKevin P Banks MD, Kevin P Banks MD Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TexasSearch for more papers by this author Rebecca Kessler DO, Rebecca Kessler DO Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TexasSearch for more papers by this authorJoseph B Sutcliffe MD, Joseph B Sutcliffe MD Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TexasSearch for more papers by this authorLisa Bell MD, Lisa Bell MD Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TexasSearch for more papers by this authorYong C Bradley MD, Yong C Bradley MD Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TexasSearch for more papers by this authorShane Anderson MD, Shane Anderson MD Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TexasSearch for more papers by this authorKevin P Banks MD, Kevin P Banks MD Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TexasSearch for more papers by this author First published: 14 April 2011 https://doi.org/10.1111/j.1524-4741.2011.01077.xCitations: 8 Address correspondence and reprint requests to: Kevin P Banks, MD, Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, TX 78234, USA, or e-mail: [email protected] Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL References 1 Brem RF, Floerke AC, Rapelyea JA, Teal C, Kelly T, Mathur V. Breast-specific gamma imaging as an adjunct imaging modality for the diagnosis of breast cancer. Radiology 2008; 247: 651– 7. 2 American College of Radiology. Breast Imaging Reporting System (BI-RADS). Reston, VA: American College of Radiology, 2003. 3 Sickles EA. Probably benign breast lesions: when should follow-up be recommended and what is the optimal follow-up protocol? Radiology 1999; 213: 11– 4. 4 Sickles EA. Periodic mammographic follow-up of probably benign breast lesions: results in 3,184 consecutive cases. Radiology 1991; 179: 463– 8. 5 Sickles EA. Nonpalpable, circumscribed, noncalcified, solid breast masses: likelihood of malignancy based on lesion size and age of patient. Radiology 1994; 192: 439– 42. 6 Burnside ES, Rubin DL, Fine JP, et al. Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results. Radiology 2006; 240: 666– 73. 7 Berg Wa, Arnoldus CL, Teferra E, Bhargavan M. Biopsy of amorphous breast calcifications: pathologic outcome and yield at stereotactic biopsy. Radiology 2001; 221: 495– 503. 8 Berg WA, D’Orsi CJ, Jackson VP, et al. Does training in the Breast Imaging Reporting and Data System (BI-RADS) improve biopsy recommendations or feature analysis agreement with experienced breast imagers at mammography? Radiology 2002; 224: 871– 80. 9 Liberman L, Abramson AF, Squires FB, et al. The Breast Imaging Reporting and Data System: Positive predictive values of mammographic features and final assessment categories. AJR Am J Roentgenol 1998; 171: 35– 40. 10 Lazarus E, Mainiero MB, Schepps B, Koelliker SL, Livingston LS. BI-RADS lexicon for US and mammography: interobserver variability and positive predictive value. Radiology 2006; 239: 385– 91. Citing Literature Volume17, Issue3May/June 2011Pages 319-321 ReferencesRelatedInformation

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