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Special Reports |
1 From the Surgical Planning Laboratory, Dept of Radiology, Brigham and Women's Hosp (K.H.Z., M.W., S.D.P., S.K.W., S.M., R.K., W.M.W.); Dept of Health Care Policy (K.H.Z.); and Athinoula A. Martinos Center for Biomedical Imaging, Dept of Radiology, Massachusetts Gen Hosp (D.N.G., N.S.W., M.G.V.), Harvard Medical School, 75 Francis St, L-2, Boston, MA 02115; Isomics, Cambridge, Mass (S.D.P.); Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Mass (S.K.W., W.M.W.); Computational Radiology Laboratory, Dept of Radiology, Brigham and Women's Hosp, Boston, Mass (S.K.W.); Dept of Radiology, Children's Hosp, Boston, Mass (S.K.W.); Laboratory of Cognitive Imaging, Dept of Psychiatry, Univ of California, San Diego, La Jolla, Calif (G.G.B.); and Veterans Affairs San Diego Health Care System, San Diego, Calif (G.G.B.). Received Sep 21, 2004; revision requested Nov 29; revision received Jan 24, 2005; accepted Feb 24. The BIRN study at two sites supported by NIH grants NCRR P41RR13218 and P41RR14075. Supported in part by NIH grants R01LM007861-01A1, R03HS013234-01, R21MH67054, and R21CA89449-01. Address correspondence to K.H.Z. (e-mail: zou{at}bwh.harvard.edu).
PURPOSE: To prospectively investigate the factorsincluding subject, brain hemisphere, study site, field strength, imaging unit vendor, imaging run, and examination visitaffecting the reproducibility of functional magnetic resonance (MR) imaging activations based on a repeated sensory-motor (SM) task.
MATERIALS AND METHODS: The institutional review boards of all participating sites approved this HIPAA-compliant study. All subjects gave informed consent. Functional MR imaging data were repeatedly acquired from five healthy men aged 2029 years who performed the same SM task at 10 sites. Five 1.5-T MR imaging units, four 3.0-T units, and one 4.0-T unit were used. The subjects performed bilateral finger tapping on button boxes with a 3-Hz audio cue and a reversing checkerboard. In a block design, 15-second epochs of alternating baseline and tasks yielded 85 acquisitions per run. Functional MR images were acquired with block-design echo-planar or spiral gradient-echo sequences. Brain activation maps standardized in a unit-sphere for the left and right hemispheres of each subject were constructed. Areas under the receiver operating characteristic curve, intraclass correlation coefficients, multiple regression analysis, and paired Student t tests were used for statistical analyses.
RESULTS: Significant factors were subject (P < .005), k-space (P < .005), and field strength (P = .02) for sensitivity and subject (P = .03) and k-space (P = .05) for specificity. At 1.5-T MR imaging, mean sensitivities ranged from 7% to 32% and mean specificities were higher than 99%. At 3.0 T, mean sensitivities and specificities ranged from 42% to 85% and from 96% to 99%, respectively. At 4.0 T, mean sensitivities and specificities ranged from 41% to 73% and from 95% to 99%, respectively. Mean areas under the receiver operating characteristic curve (± their standard errors) were 0.77 ± 0.05 at 1.5 T, 0.90 ± 0.09 at 3.0 T, and 0.95 ± 0.02 at 4.0 T, with significant differences between the 1.5- and 3.0-T examinations and between the 1.5- and 4.0-T examinations (P < .01 for both comparisons). Intraclass correlation coefficients ranged from 0.49 to 0.71.
CONCLUSION: MR imaging at 3.0- and 4.0-T yielded higher reproducibility across sites and significantly better results than 1.5-T imaging. The effects of subject, k-space, and field strength on examination reproducibility were significant.
© RSNA, 2005
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