From the echocardiography machine to the lecture room: a simple method for transferring echocardiographic frames and loops to a personal computer

The use of computers in scientific and educational presentations is rapidly increasing. As a digital presentation is ideal for showing moving images, the use of multimedia files, e.g., echocardiographic loops within these presentations, is common. Even though recent echocardiography machines store acquired data in a digital format, these data are often not readily accessible to be transferred to a personal computer. We present an easy and cost-efficient method for transferring frames and loops from any echocardiography machine into a personal computer using a digital video camera equipped with a standard analog input and flash memory. Still images and movies are stored in the camera to be subsequently transferred to a personal computer. In the computer, still images and movies are post-processed with graphical and video editing software. Finally, the still images and movies can be projected from the video camera or presented with specialized software such as PowerPoint. The images can also be used for Web-based publications and production of educational material or books on electronic media such as CD-ROM. The described method can also be used to transfer images from other proprietary devices and programs, as long as the devices are equipped with an analog video outlet. IMPLICATIONS: The transfer of frames and loops from echocardiographic machines to personal computers is often useful for publication, teaching, and educational purposes. We present an easy and cost-effective method for transferring frames and loops from any echocardiography machine into a personal computer using a digital video camera.     

Sexual behavior and sexual function of adults after hypospadias surgery: a comparative study

PURPOSE: We assessed sexual behavior and sexual function in adults operated on for hypospadias. MATERIALS AND METHODS: Long-term psychosexual adjustment was assessed with a standardized questionnaire which was mailed to 57 patients with hypospadias older than 18 years and 60 age matched normal control subjects. RESULTS: A total of 37 patients with hypospadias and 39 controls participated. Self-reported strength of libido on a scale of 1 to 5 was shown to be similar in the 2 groups. Patients with hypospadias did not have problems in achieving erection and average self-rated quality of erection ranging from 1 to 5 was the same as that of controls (mean value 4.5). Patients with hypospadias noted curvature in a downward direction in a significantly higher proportion compared to controls (40% vs 18%, respectively). There were 13 patients with hypospadias who had ejaculation difficulties, of whom 6 had spraying and 7 had only dribbling of ejaculate. Patients with hypospadias masturbated significantly less often, were significantly less sexually active and had a smaller total number of sexual partners compared to control subjects. Control subjects were significantly more completely satisfied with their sexual life compared to patients with hypospadias (76.92% vs 51.35%, respectively). CONCLUSIONS: Sexual function of patients who underwent surgery for hypospadias in general is not affected. However, there is clearly a difference in certain aspects of sexual behavior between patients with hypospadias and controls. Followup and adequate counselling of patients who underwent surgery for hypospadias in adult life is necessary.     

Renal infarction in a child with systemic lupus erythematosus

Although patients with systemic lupus erythematosus (SLE), especially those with antiphospholipid antibodies, have a high incidence of arterial and venous thrombotic manifestations, renal infarction has been rarely reported in these patients and is probably underestimated. A 9-year-old boy with renal infarction, diagnosed by computed tomography and scintigraphy, is described. Initially he complained of severe flank pain; he had no urinary abnormalities and his blood pressure was normal. No evidence of systemic disease was found. He responded well to antibiotic treatment without the need for immunosuppressive therapy. In subsequent years he presented a spectrum of clinical symptoms, including fever, malaise, arterial hypertension headache, and mononeuritis multiplex, accompanied by an increased erythrocyte sedimentation rate and transitory proteinuria. This suggested vasculitis involving peripheral vessels as well as the central nervous system. Treatment with oral prednisone and azathioprine led to remission. Four years after the renal infarction, the child presented with recurrence of systemic disease. The diagnosis of SLE was established, with positive antiphospholipid antibodies. The sudden appearance of severe unexplained flank pain should alert the clinician to a possible underlying renal vessel thrombosis. Renal venous thrombosis is probably much more common; however, renal arterial thrombosis and infarction in association with SLE with positive antiphospholipid antibodies should be added to the differential diagnosis.     

Prophylactic antiemetics for laparoscopic cholecystectomy: droperidol, metoclopramide, and droperidol plus metoclopramide

BACKGROUND: Postoperative nausea and vomiting (PONV) is one of the most significant problems in laparoscopic surgery. The antiemetic effects of metoclopramide and droperidol used alone or in combination for prevention of PONV after laparoscopic cholecystectomy (LC) were assessed in this prospective, double blind, placebo controlled randomized study. PATIENTS AND METHODS: A series of 140 patients, ASA physical status I or II, were included in the study. Patients were randomized to one of the following groups: 1, placebo; 2, metoclopramide 10 mg after the induction of anesthesia and placebo at 12 h postoperatively; 3, droperidol 1.25 mg after the induction of anesthesia and droperidol 1.25 mg at 12 h postoperatively; and 4, droperidol 1.25 mg plus metoclopramide 10 mg after the induction of anesthesia and droperidol 1.25 mg at 12 h postoperatively. Patients were observed for 24 hours for PONV, pain, need for rescue analgesics, and adverse events. RESULTS: Data were analyzed using the Student's t-test and chi-square test, with P < 0.05 considered statistically significant. The mean incidence of PONV was 54% with placebo, 42% with metoclopramide, 14% with two doses of droperidol alone, and 11% with a combination of metoclopramide plus droperidol. The patients receiving a combination of metoclopramide and droperidol had a significantly lower rate of PONV than those administered metoclopramide alone (P < 0.05) or placebo (P < 0.001). Those receiving two-dose droperidol alone also had a significantly lower incidence of PONV compared with metoclopramide (P < 0.05) and placebo (P < 0.001). There was no statistically significant difference between the metoclopramide and placebo groups. Sedation was significantly greater in patients administered droperidol 12 h postoperatively. CONCLUSION: The combination of metoclopramide and droperidol, and two-dose droperidol alone, were found to significantly decrease the incidence of PONV after LC, whereas metoclopramide alone proved inefficient.     

Classification and knowledge discovery in protein databases

We consider the problem of classification in noisy, high-dimensional, and class-imbalanced protein datasets. In order to design a complete classification system, we use a three-stage machine learning framework consisting of a feature selection stage, a method addressing noise and class-imbalance, and a method for combining biologically related tasks through a prior-knowledge based clustering. In the first stage, we employ Fisher's permutation test as a feature selection filter. Comparisons with the alternative criteria show that it may be favorable for typical protein datasets. In the second stage, noise and class imbalance are addressed by using minority class over-sampling, majority class under-sampling, and ensemble learning. The performance of logistic regression models, decision trees, and neural networks is systematically evaluated. The experimental results show that in many cases ensembles of logistic regression classifiers may outperform more expressive models due to their robustness to noise and low sample density in a high-dimensional feature space. However, ensembles of neural networks may be the best solution for large datasets. In the third stage, we use prior knowledge to partition unlabeled data such that the class distributions among non-overlapping clusters significantly differ. In our experiments, training classifiers specialized to the class distributions of each cluster resulted in a further decrease in classification error.