OBJECTIVE. The purpose of this study was to determine the accuracy of MRI for discrimination between tuberculous spondylitis and pyogenic spondylitis.MATERIALS AND METHODS. MR images of 52 patients who had MRI of the spine and confirmed spondylitis were retrospectively reviewed. After review of medical records, we compared MRI findings in 20 patients with tuberculous spondylitis and 20 patients with pyogenic spondylitis. Statistical analysis was performed with the chi-square test.RESULTS. The reviewer identified tuberculous spondylitis with sensitivity, specificity, and accuracy of 100% (20/20), 80% (16/20), and 90% (36/40), and pyogenic spondylitis with sensitivity, specificity, and accuracy of 80% (16/20), 100% (20/20), and 90% (36/40), respectively. The patients with tuberculous spondylitis had a significantly higher incidence of MRI findings as follows (p < 0.05): a well-defined paraspinal abnormal signal (95% [19/20] in tuberculous vs 25% [5/20] in pyogenic), a thin and smooth abscess wall (95% [19/2...

This study aims to evaluate the degree of inter- and intraobserver agreement when characterizing breast abnormalities using the Breast Imaging Reporting and Data System (BI-RADS)-ultrasound (US) lexicon, as defined by the American College of Radiology (ACR). Two hundred ninety three female patients with 314 lesions underwent US-guided biopsies at one facility during a two-year period. Static sonographic images of each breast lesion were acquired and reviewed by four radiologists with expertise in breast imaging. Each radiologist independently evaluated all cases and described the mass according to BI-RADS-US. To assess intraobserver variability, one of the four radiologists reassessed all of the cases one month after the initial evaluation. Inter- and intraobserver variabilities were determined using Cohen's kappa (k) statistics. The greatest degree of reliability for a descriptor was found for mass orientation (k = 0.61) and the least concordance of fair was found for the mass margin (k = 0.32) and echo pattern (k = 0.36). Others descriptive terms: shape, lesion boundary and posterior features (k = 0.42, k = 0.55 and k = 0.53, respectively) and the final assessment (k = 0.51) demonstrated only moderate levels of agreement. A substantial degree of intraobserver agreement was found when classifying all morphologic features: shape, orientation, margin, lesion boundary, echo pattern and posterior feature (k = 0.73, k = 0.68, k = 0.64, 0.68, k = 0.65 and k = 0.64, respectively) and rendering final assessments (k = 0.65). Although BI-RADS-US was created to achieve a consensus among radiologists when describing breast abnormalities, our study shows substantial intraobserver agreement but only moderate interobserver agreement in the mass description and final assessment of breast abnormalities according to its use. A better agreement will ultimately require specialized education, as well as self-auditing practice tests.

The aims of this study were to evaluate the associations between the maximum standardized uptake value (SUVmax) and prognostic factors in invasive lobular carcinoma (ILC) and to compare these results with those in invasive ductal carcinoma (IDC). The study included pathologically confirmed ILCs (n = 32) and IDCs (n = 73). We retrospectively evaluated the preoperative 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and measured the SUVmax. The pathologic results were reviewed regarding the size, histological type, histological grade, estrogen receptor (ER) and progesterone receptor (PR) status, human epidermal growth factor receptor 2 (HER2), epidermal growth factor receptor (EGFR), and Ki-67 of the primary tumor. We also compared the associations between the SUVmax and prognostic factors. The mean SUVmax of the ILCs was significantly lower compared with that of the IDCs (P = 0.032). The SUVmax increased with tumor grade (P < 0.001) and was higher with ER negativity compared with ER positivity (P = 0.007) in IDC. The SUVmax was higher with EGFR positivity compared with EGFR negativity (P = 0.013) in IDC and higher with Ki-67 positivity compared with Ki-67 negativity in IDC and ILC (P < 0.001 and P = 0.002, respectively). The SUVmax was not significantly different regarding PR or HER2 for both tumor groups. The correlation between the tumor size and the SUVmax was demonstrated for IDCs (r = 0.57), but not for ILCs (r = 0.25). The SUVmax was significantly different according to the tumor grade, ER, EGFR, and Ki-67 for IDCs. The SUVmax exhibited a positive association with Ki-67 in ILC; however, it was not significantly different with other factors, which suggests that the role of 18F-FDG PET/CT may be limited in ILC.