Influence of Postoperative Finasteride Therapy on Recurrence of Gynecomastia After Mastectomy in Men Taking Finasteride for Alopecia.

Finasteride is commonly used for treatment of alopecia. Because finasteride is a cause of gynecomastia, there is concern regarding the continuation of finasteride therapy after mastectomy. No studies have been performed to determine whether finasteride should be continued after mastectomy when gynecomastia occurs in patients taking finasteride for the treatment of alopecia. The researchers studied the effects of finasteride on gynecomastia recurrence after mastectomy in men with gynecomastia taking finasteride for alopecia. The researchers retrospectively evaluated 1,673 patients with gynecomastia who underwent subcutaneous mastectomy with liposuction at Damsoyu Hospital from January 2014 to December 2016. In total, 52 of the patients were taking finasteride for alopecia before surgery and continued to use it in the same manner after mastectomy. Ultrasonography was performed 1 year after mastectomy. The patients' median age was 26.5 (24.75-30) years. All 52 patients had bilateral gynecomastia. The median duration of finasteride therapy before and after surgery was 12 (5-25.75) and 33 (27.5-40.5) months, respectively. There were no statistically significant differences between the groups with and without the use of finasteride in relation to postoperative complications and recurrence rates. Taking finasteride seems to have little effect on recurrence in patients with alopecia who have undergone surgical treatment of gynecomastia. Surgeons may recommend continuous finasteride therapy in patients with alopecia who wish to take finasteride after mastectomy.

An Analytic Gabor Feedforward Network for Single-Sample and Pose-Invariant Face Recognition.

Gabor magnitude is known to be among the most discriminative representations for face images due to its space- frequency co-localization property. However, such property causes adverse effects even when the images are acquired under moderate head pose variations. To address this pose sensitivity issue and other moderate imaging variations, we propose an analytic Gabor feedforward network which can absorb such moderate changes. Essentially, the network works directly on the raw face images and produces directionally projected Gabor magnitude features at the hidden layer. Subsequently, several sets of magnitude features obtained from various orientations and scales are fused at the output layer for final classification decision. The network model is analytically trained using a single sample per identity. The obtained solution is globally optimal with respect to the classification total error rate. Our empirical experiments conducted on five face data sets (six subsets) from the public domain show encouraging results in terms of identification accuracy and computational efficiency.

Manifold ranking based scoring system with its application to cardiac arrest prediction: A retrospective study in emergency department patients.

BACKGROUND: The recently developed geometric distance scoring system has shown the effectiveness of scoring systems in predicting cardiac arrest within 72h and the potential to predict other clinical outcomes. However, the geometric distance scoring system predicts scores based on only local structure embedded by the data, thus leaving much room for improvement in terms of prediction accuracy. METHODS: We developed a novel scoring system for predicting cardiac arrest within 72h. The scoring system was developed based on a semi-supervised learning algorithm, manifold ranking, which explores both the local and global consistency of the data. System evaluation was conducted on emergency department patients׳ data, including both vital signs and heart rate variability (HRV) parameters. Comparison of the proposed scoring system with previous work was given in terms of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV). RESULTS: Out of 1025 patients, 52 (5.1%) met the primary outcome. Experimental results show that the proposed scoring system was able to achieve higher area under the curve (AUC) on both the balanced dataset (0.907 vs. 0.824) and the imbalanced dataset (0.774 vs. 0.734) compared to the geometric distance scoring system. CONCLUSIONS: The proposed scoring system improved the prediction accuracy by utilizing the global consistency of the training data. We foresee the potential of extending this scoring system, as well as manifold ranking algorithm, to other medical decision making problems. Furthermore, we will investigate the parameter selection process and other techniques to improve performance on the imbalanced dataset.

Influence of divalent metal ions on E2-induced ER pathway in goldfish (Carassius auratus) hepatocytes.

Metal ions existing in the environment could influence the estrogen pathway in aquatic animal, but the detailed mechanism is still delusive. We here showed that in male Carassius auratus hepatocytes, copper (Cu) or cadmium (Cd), did not directly induce vitellogenin (VTG) expression. Interestingly, co-exposure with Cd²âº (or Cu²âº) and 17-ß-estradiol (E2) greatly increased the VTG level, comparing with single treatment of E2. Meanwhile, Cd²âº or Cu²âº (but not E2) triggers HSP70 expression. But, mixture of Cd²âº or Cu²âº with E2 did not obviously raise HSP70 level. E2 also had no obvious effect on reactive oxygen species. Co-treatment of Cd²âº and E2 showed no obvious increase compared to single treatment with Cd²âº. We further assume that Cd²âº-involved oxidative stress generates misfolded proteins, resulting in the competition of HSP70 proteins from a heterocomplex (with estrogen receptor). Thus, dissociation of the heterocomplex actives the receptor-ligand binding activity and promotes the E2-induced VTG expression.

Estrogenic response in male bullfrog (Rana catesbeiana) hepatocytes after single or combined exposure to cadmium (Cd) and 17beta-estradiol (E2).

Contamination by heavy metals and sex hormones in a water environment is an important health issue. In this study, we investigated the estrogenic effects of cadmium (Cd) administration alone and in combination with 17beta-estradiol (E2) on the hepatocytes of male Bullfrog (Rana catesbeiana). Their vitellogenin (VTG) expression and reactive oxygen species (ROS) were analyzed upon exposure to Cd alone or to both Cd and E2. Our results suggest that the VTG levels induced by the co-treatment of 100 nM E2 and 100 nM CdCl(2) were significantly higher than those induced by 100 nM E2 alone (p < 0.05), and were comparable to vitellogenin induction observed with 1 µM E2. A similar result was observed by western blot analysis in the culture medium of hepatocytes. Meanwhile, Cd (but not E2) increased the ROS levels. These results suggest that Cd has a cooperative effect with E2 in the induction of VTG, thus acting as an estrogenic disruptor. Cd also causes oxidative stress that occurs with the enhanced vitellogenesis.