Acute lymphoblastic leukemia (ALL) presenting with musculoskeletal pain may be difficult to distinguish from juvenile idiopathic arthritis (JIA). The objective of this study, which separates it from most studies investigating these two diseases, is to determine the role of plain radiography in the initial approach toward patients presenting with musculoskeletal symptoms and to look for signs suggestive of each of the two disease entities. X-rays of patients referred to our center for musculoskeletal symptoms and ultimately diagnosed with JIA or ALL over a period of 10 years were studied retrospectively. The X-rays had been performed in the preliminary stage of the disease process and before the initiation of specific therapeutic measures. Soft tissue swelling, osteopenia, radiolucent metaphyseal bands, coarse trabeculation, and periosteal reactions were studied, and data analysis was performed by SPSS. Among a total of 174 patients, 118 had been diagnosed with JIA and 56 with ALL. The average age of JIA patients and ALL patients were 7.5 and 7.2 years, respectively. Soft tissue swelling was significantly more common among JIA patients (89.8%) than among those with ALL (1.8%) (P < 0.0001). Therefore, it is of the utmost importance to note the presence or absence of soft tissue swelling on plain radiography in the initial diagnostic approach. Osteopenia was seen in 60.2% of JIA patients compared with 14.3% of ALL patients (P < 0.0001). Radiolucent metaphyseal bands were seen among 7.1% of ALL cases but were notably absent in all cases of JIA. Coarse trabeculation was significantly higher in patients with ALL (7.1% ) than among JIA patients (0.8%). Periosteal reactions were seen in 6.8% of JIA group compared with 1.8% of ALL patients. We concluded that plain X-ray may be useful in selecting patients requiring bone marrow examination among those presenting with musculoskeletal symptoms mimicking JIA.
To assess the correlation between breast arterial calcifications (BAC) on digital mammography and the extent of coronary artery disease (CAD) diagnosed with dual source coronary computed tomography angiography (CTA) in a population of women both symptomatic and asymptomatic for coronary artery disease. 100 consecutive women (aged 34 – 86 years) who underwent both coronary CTA and digital mammography were included in the study. Health records were reviewed to determine the presence of cardiovascular risk factors such as hypertension, hyperlipidemia, diabetes mellitus, and smoking. Digital mammograms were reviewed for the presence and degree of BAC, graded in terms of severity and extent. Coronary CTAs were reviewed for CAD, graded based on the extent of calcified and non-calcified plaque, and the degree of major vessel stenosis. A four point grading scale was used for both coronary CTA and mammography. The overall prevalence of positive BAC and CAD in the studied population were 12% and 29%, respectively. Ten of the 12 patients with moderate or advanced BAC on mammography demonstrated moderate to severe CAD as determined by coronary CTA. For all women, the positive predictive value of BAC for CAD was 0.83 and the negative predictive value was 0.78. The presence of BAC on mammography appears to correlate with CAD as determined by coronary CTA (Spearman’s rank correlation coefficient = 0.48, p<.000001). Using logistic regression, the inclusion of BAC as a feature in CAD predication significantly increased classification results (p=0.04).
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