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OBJECTIVE. The purpose of this study was to describe the prevalence of vas deferens (VD) calcifications on abdominal CT examinations and the associations between VD calcifications and several systemic conditions. MATERIALS AND METHODS. The CT examinations of male patients from January 2010 to December 2011 were retrospectively reviewed. After exclusions, the records of 1915 consecutively identified patients were analyzed. Five readers, 3rd- and 4th-year radiology residents, recorded the presence and laterality of VD calcifications and of vascular calcifications presumed due to atherosclerosis. A sixth reader parsed the patient records for diagnoses of type 2 diabetes mellitus (DM) and chronic kidney disease (CKD). RESULTS. The mean age of the entire sample population was 52.9 ± 18.9 years (range, 1-93 years). The mean age of patients with VD calcifications was 59.3 ± 12.0 (SD) years and of the group without VD calcifications was 52.9 ± 19.1 years ( p = 0.17). The prevalence of VD calcification was 1.61% (31 patients): 21 (67.7%) of the patients had bilateral calcification; seven (22.6%), right-sided only; and three, (9.7%) left-sided. The frequency of DM was 28.8% (551/1915), of CKD was 7.58% (150/1915), and of atherosclerosis, 60.4% (1156/1915). The mean caliber of calcified VDs was 5.31 ± 1.29 mm versus 3.63 ± 0.63 mm for patients without calcification or any chronic condition ( p < 0.0001). Among age, atherosclerosis, DM, and CKD in univariate regression analysis, only DM was associated with VD calcification ( p = 0.006). However, because age ( p = 0.063) and atherosclerosis ( p = 0.057) were close to significant, they were included in the multivariate analysis, which also showed only DM associated with VD calcification (odds ratio, 2.14 ± 0.85). CONCLUSION. In the large cohort in this study, the prevalence of VD calcification was 1.61%. VD calcification was strongly associated with DM. The pathologic implications of VD calcification remain unclear and warrant further investigation in prospective longitudinal studies.

Objective: Our purpose was to assess whether histogram analysis of adrenal lesions from a single measurement of mean attenuation and SD, using a threshold of 10% of negative voxels, can replace voxel counting while maintaining diagnostic accuracy., Materials and Methods: In a 4-year period, 325 adrenal lesions were detected on CT examinations of 308 consecutive patients. After exclusions, 91 patients with 108 lesions, including 20 malignant lesions and 88 adenomas (defined by histologic results or follow-up), were enrolled. Two observers retrospectively measured lesion size, mean attenuation value, and SD attenuation value and generated a pixel histogram. The 10th percentile (P10) was obtained from the conventional histogram analysis and was also calculated from the following formula: P10 = mean attenuation - (1.282 × SD). Diagnostic accuracies of the mean attenuation criterion, histogram analysis, and calculated 10th percentile were compared., Results: The study group was composed of 74 patients with 88 adenomas and 17 patients with 20 malignant lesions, including seven adrenocortical carcinomas and 13 metastases; 93.1% of histograms showed normal distribution. The correlation between histogram analysis and calculated 10th percentile was 0.9827 and 0.9843 for reader 1 and 2 (p < 0.00001 for both). For both readers, sensitivity and specificity of the mean attenuation analysis were 65.9% (95% CI, 55.0-75.7%) and 100.0% (95% CI, 83.2-100%). The sensitivity and specificity of histogram analysis and calculated 10th percentile were the same, 87.5% (95% CI, 78.7-93.6%) and 95.0% (95% CI, 75.1-99.8%), for both readers. The increment increase in sensitivity was significant (p < 0.001), whereas the decrease in specificity was not (p = 0.15)., Conclusion: For most adrenal lesions, the pixel attenuation has a gaussian distribution, allowing estimation of 10th percentile with a single measurement. The accuracy of histogram analysis and calculated 10th percentile outperformed the mean attenuation as a diagnostic criterion for nonfunctioning adenomas.