Purpose: To prospectively compare the capabilities of dynamic perfusion area-detector computed tomography (CT), dynamic magnetic resonance (MR) imaging, and positron emission tomography (PET) combined with CT (PET/CT) with use of fluorine 18 fluorodeoxyglucose (FDG) for the diagnosis of solitary pulmonary nodules. Materials and Methods: The institutional review board approved this study, and written informed consent was obtained from each subject. A total of 198 consecutive patients with 218 nodules prospectively underwent dynamic perfusion area-detector CT, dynamic MR imaging, FDG PET/CT, and microbacterial and/or pathologic examinations. Nodules were classi-fied into three groups: malignant nodules (n = 133) and benign nodules with low (n = 53) or high (n = 32) biologic activity. Total perfusion was determined with dual-input maximum slope models at area-detector CT, maximum and slope of enhancement ratio at MR imaging, and maximum standardized uptake value (SUVmax) at PET/CT. Next, all indexes for malignant and benign nodules were compared with the Tukey honest significant difference test. Then, receiver operating characteristic analysis was performed for each index. Finally, sensitivity, specificity, and accuracy were compared with the McNemar test. Results: All indexes showed significant differences between malignant nodules and benign nodules with low biologic activity (P <.0001). The area under the receiver operating characteristic curve for total perfusion was significantly larger than that for other indexes (.0006 c P c.04). The specificity and accuracy of total perfusion were significantly higher than those of maximum relative enhancement ratio (specificity, P <.0001; accuracy, P <.0001), slope of enhancement ratio (specificity, P <.0001; accuracy, P <.0001), and SUVmax (specificity, P <.0001; accuracy, P <.0001). Conclusion: Dynamic perfusion area-detector CT is more specific and accurate than dynamic MR imaging and FDG PET/CT in the diagnosis of solitary pulmonary nodules in routine clinical practice.
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