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Published online before print November 19, 2001, 10.1148/radiol.2221010237
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(Radiology 2002;222:149-155.)
© RSNA, 2001


Nuclear Medicine

99mTc Sestamibi Breast Imaging for the Examination of Patients with Dense and Fatty Breasts: Multicenter Study1

Iraj Khalkhali, MD, Janet K. Baum, MD, Javier Villanueva-Meyer, MD, Steven L. Edell, DO, Laurence G. Hanelin, MD, Carlos E. Lugo, MD, Raymond Taillefer, MD, Leonard M. Freeman, MD, Charles E. Neal, MD, Alice M. Scheff, MD, James L. Connolly, MD, Stuart J. Schnitt, MD, Mary J. Houlihan, MD, John S. Sampalis, PhD and Stephen B. Haber, PhD

1 From the Harbor UCLA Medical Center, Torrance, Calif (I.K.); Beth Israel Hosp, Boston, Mass (J.K.B., J.L.C., S.J.S., M.J.H.); Univ of Texas Medical Branch at Galveston (J.V.M.); Women’s Imaging Center of Delaware, Newark (S.L.E.); Aultman Hosp, Canton, Ohio (L.G.H.); St Paul Medical Center, Dallas, Tex (C.E.L.); Hotel Dieu, Montreal, Quebec, Canada (R.T.); Montefiore Medical Center, Bronx, NY (L.M.F.); Memorial Medical Center, Springfield, Ill (C.E.N.), Hosp of the Univ of Pennsylvania, Philadelphia (A.M.S.); JSS Medical Research, Montreal, Quebec, Canada (J.S.S.); and DuPont Pharmaceuticals Company, 331 Treble Cove Rd, 500-2, North Billerica, MA 01862 (S.B.H.). The participating investigators and hospitals are listed at the end of this article. From the 1996 RSNA scientific assembly. Received Jan 2, 2001; revision requested Feb 7; revision received Jun 12; accepted Jul 5. All authors received financial support from DuPont Pharmaceuticals. Address correspondence to S.B.H. (e-mail: habersb@stanfordalumni.org).

PURPOSE: To evaluate the accuracy of scintimammography as an adjunct to physical examination and mammography in the detection of breast cancer in women with dense and fatty breasts.

MATERIALS AND METHODS: A total of 558 women were prospectively enrolled from 42 centers in North America. Images were interpreted by readers blinded to the subjects’ clinical history, mammographic findings, and other test results. The Breast Imaging Reporting and Data System classification was used to describe breast density. Parenchymal patterns of "heterogeneously dense" and "extremely dense" were used to classify breasts as dense, whereas "almost entirely fat" and "numerous vague densities" defined fatty breasts. Between-group differences were evaluated with the {chi}2 test for categorical variables and Student t test for continuous variables. Accuracy of scintimammography was assessed against the core laboratory histopathologic evaluation, the standard. The 95% CIs around point estimates of sensitivity, specificity, and positive and negative predictive values were calculated with the normal approximation to the binomial distribution.

RESULTS: The analyses were based on 580 breasts with an abnormality; 276 (48%) breasts were dense and 228 had a malignant lesion. Diagnostic properties for scintimammography of fatty versus dense breasts were, respectively, sensitivity, 72% versus 70%; specificity, 80% versus 78%; positive predictive value, 72% versus 67%; negative predictive value, 81% versus 81%; and accuracy, 77% versus 75% (all not significant). Scintimammography led to similar and significant changes in the posttest likelihood of cancer for both dense and fatty breasts.

CONCLUSION: The diagnostic accuracy of scintimammography is not affected by breast density.

Index terms: Breast, radionuclide studies, 00.1216 • Breast neoplasms, diagnosis, 00.31, 00.32 • Breast radiography, comparative studies, 00.11, 00.1216




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