Prediction of Stress Urinary Incontinence Using the Retrovesical (ß) Angle in Transperineal Ultrasound.

OBJECTIVES: The accurate, rapid diagnosis of stress urinary incontinence (SUI) in women can profoundly improve their sexual and psychosocial life. In this study, the diagnostic power of SUI was assessed by transperineal ultrasound. METHODS: In this hospital-based case-control study, married women who were referred to the gynecologic and ultrasound wards with negative urinalysis and culture results were enrolled by random sampling. Patients with positive cough signs based on the urodynamic testing data were considered cases, whereas control women showed no cough symptoms and were recruited from the same ward. RESULTS: There was a significant difference (P < .001) in bladder neck descent (mean ± SD, 10.89 ± 5.51 versus 7.08 ± 2.60 mm, respectively; P = .0001) and the retrovesical (ß) angle with the Valsalva maneuver (144.22° ± 19.63° versus 111.81° ± 24.47°; P < .001) between the case and control groups. Also, the ß angle without the Valsalva maneuver was higher in the case group (112.35° ± 23.10°) than the control group (120.17° ± 25.16°; P = .001). There was no case of a urinary leak, urethral diverticulitis, a bladder stone or mass, and cystourethrocele in the patients of each group. The results of multivariate logistic regression with a backward method showed that bladder neck descent (odds ratio [OR], 1.24; 95% confidence interval [CI], 1.09-1.40), the ß angles with and without the Valsalva maneuver (OR, 1.1; 95% CI, 1.06-1.13; and OR, 1.04; 95% CI, 1.01-1.06) were the predictors of SUI. A ß angle higher than 127° with the Valsalva maneuver, with an area under the curve of 0.89 (95% CI, 0.75-0.96), could very well predict the SUI response. This finding shows that it can be very well used to distinguish between normal and non-normal responses, with 89% sensitivity and 79% specificity. CONCLUSIONS: The ß angle with the Valsalva maneuver could very well predict the SUI response.

Effects of Obesity on Axillary Lymph Node Structure: Association of Hilar Fat Deposition and Alterations in Cortex Width.

Introduction: This study aims to evaluate the effects of obesity on the structure of axillary lymph nodes in women with no evidence of breast or axilla pathology. Method: In this prospective study, we documented the body mass index of 204 women who were referred for screening mammography. Two radiologists have independently viewed the mammograms to find the largest axillary lymph node and reported its dimensions. Independent sample T-test was used to evaluate the association of the above indices with participants' body mass index. Associations between indices were investigated using multiple regression analyses. Results: All measurements of axillary lymph nodes and hilo-cortical ratio were significantly increased with increasing body mass index (p<0.001), except for cortex width (p=0.15). There were strong associations (p < 0.001) between increasing hilum length and increasing lymph node length (R²=0.90), increasing hilum width and increasing lymph node width (R²=0.85), and increasing hilum width and decreasing cortex width (R²=0.12). There was no association between cortex width and lymph node width (R²=0.0001). Inter-rater reliability ranged from 0.49 to 0.70. Conclusion: Our study demonstrated that axillary lymph nodes with a bigger hilum width had a smaller cortex width in obese but apparently normal population. Considering the important role of axillary lymph node cortex in their immune function, this may be a cause for immune dysfunction of axillary lymph nodes in obesity and explain the worse prognosis of breast cancer in obese women. The limited number of participants, the 2-dimensional nature of mammograms and the difficulty of measuring the dimensions of axillary lymph nodes using mammography were important limitations of this study. Implications for practice: Obesity may result in structural change and dysfunction of axillary lymph nodes. Dysfunction of axillary lymph nodes may have a role in worse prognosis of breast cancer in obese patients.