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Published online before print November 16, 2007, 10.1148/radiol.2461061298
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Meta-Analysis of MR Imaging in the Diagnosis of Breast Lesions1

Nicky H. G. M. Peters, MD, Inne H. M. Borel Rinkes, MD, PhD, Nicolaas P. A. Zuithoff, MSc, Willem P. T. M. Mali, MD, PhD, Karel G. M. Moons, MSc, PhD, and Petra H. M. Peeters, MD, PhD

1 From the Department of Radiology (N.H.G.M.P., W.P.T.M.M.); Department of Surgical Oncology (I.H.M.B.R.); and Department of Clinical Epidemiology, Julius Center for Health Sciences and Primary Care (N.H.G.M.P., N.P.A.Z., K.G.M.M., P.H.M.P.), University Medical Center Utrecht, Heidelberglaan 100, E01.132, 3584 CX Utrecht, the Netherlands. Received July 28, 2006; revision requested October 3; revision received December 21; accepted January 30, 2007; final version accepted June 1. Address correspondence to N.H.G.M.P. (e-mail: n.peters{at}umcutrecht.nl).


Figure 1
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  		Figure 1: Flowchart of eligible studies. *Other clinical domains such as patients with metastatic breast cancer, patients with recurrent cancer, and patients at high risk. {dagger}Other aims such as MR-guided interventions, MR evaluation of effect chemotherapy, and MR evaluation of breast implants.

 

Figure 2
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  		Figure 2: Forest plot of sensitivity and specificity, with corresponding 95% CIs, of included studies. Numbers 15–58 are the reference numbers of the individual studies. n/N = number of studies included/total number of studies. p/P = number of patients included/total number of patients.

 

Figure 3
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  		Figure 3: Sensitivity and specificity plotted in receiver operating characteristic space for individual studies; an sROC curve is plotted through the data points. {blacksquare} = overall sensitivity and overall specificity, with the 95% confidence ellipse ({circ}) indicating the region that contains the most likely combinations of summary sensitivity and specificity values.

 




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