RESUMO
We did this systematic review to determine diagnostic accuracy of sono-elastography in evaluating cervical lymph nodes (LNs). A highly sensitive search for sono-elastography and LNs was performed in MEDLINE, Cochrane Library, ACP Journal Club, EMBASE, Health Technology assessment, and ISI web of knowledge for studies published prior to December 2012. SPSS version 18 (SPSS Inc., Chicago, IL, USA) used for descriptive analysis and meta-disk version 1.4 applied for meta-analysis. Forest plots for pooled estimates and summery of receiver operating characteristic plots for different cut-offs were produced. The literature and manual search yielded 69 articles, of which 10 were eligible to include. A total of 578 individuals with a total number of 936 cervical LNs was evaluated (502 malignant and 434 benign). The summary sensitivity of the scoring and strain ratio (SR) measurements for the differentiation of benign and malignant LNs were 0.76 (95% CI: 0.71-0.8) and 0.83 (95% CI: 0.78-0.87). The summary specificities were 0.8 (95% confidence interval [CI]: 0.75-0.84) and 0.84 (95% CI: 0.79-0.88), respectively. Area under the curve for scoring system was 0.86 (standard error [SE] = 0.03) and 0.95 (SE = 0.02) for SR measurement. Sono-elastograohy has high accuracy in differentiating benign and malignant cervical LNs.
RESUMO
PURPOSE: Polycystic syndrome (PCOS) is associated with multiple metabolic abnormalities. Studies in the adolescent population are still limited and the results have been much different. The aim of this study was to investigate the association between PCOS, overweight, and metabolic syndrome in adolescents. METHODS: 30 PCOS adolescents were randomly selected from a PCOS population with NIH 1990 criteria and 71 adolescents from the normal adolescents. Anthropometric, hormonal and metabolic parameters were evaluated in four sub-groups including obese and non-obese PCOS and obese and non-obese normal adolescents. RESULTS: The prevalence of overweight and metabolic syndrome in adolescents with PCOS was 52% and 33.3% respectively vs 22.4% (P = 0.005) and 11.26% in control (normal) adolescents (P = 0.0001). Among all subjects, including obese and non-obese adolescents with or without PCOS, the prevalence of insulin resistance, hypercholesterolemia, central obesity, and metabolic syndrome was higher in obese PCOS with 61.5%, 46.2%, 53.8%, and 69.2%, respectively. CONCLUSIONS: Obesity and IR are important risk factors for metabolic syndrome in PCOS. Considering the long-term health risks, it is necessary to identify metabolic disorders in adolescents with PCOS as early as possible.