Macroscopic Invertebrates on the Higher Aquatic Plants at Clear Lake, lowa

Macroscopic invertebrates were removed and counted from 355 samples of higher aquatic vegetation collected between 23 June 1965 and 3 September 1965 at Clear Lake, Iowa. It was found that all species of higher aquatic plants do not harbor the same populations of animals and that the composition of the macroscopic invertebrate populations on the plants showed a successional variation throughout the summer. A direct linear relationship was found between the surface areas of aquatic plants and the numbers of animals found on their surfaces

Advances in patient communication

This project will help in communication between the patient and the intern. The emphasis will be on providing to the patient a description of their condition through a printed page by means of the computer in the clinical setting. The printed page discusses what the condition is, it\u27s signs, symptoms, treatment, and prognosis. Also included on the page is a picture if appropriate and an area labeled notes for the intern to include pertinent exam findings and special patient instructions. To provide this page of information we created web pages to be located on the College of Optometry\u27s web page. The internet address for the college is www.opt.pacificu.edu/opt/puco/home.htm. The home page of our project includes a title, a logo, a list of common conditions, a disclaimer, and our names. From the home page each condition has a link to its own page. The relevance of this project is in providing a patient with take home information, and in creating another route of communication between the intern and the patient. This in turn will help to increase patient returns and patient compliance

Neuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH -Mutant Lower Grade Gliomas

( )-mutant lower grade gliomas are classified as oligodendrogliomas or diffuse astrocytomas based on 1p/19q-codeletion status. We aimed to test and validate neuroradiologists' performances in predicting the codeletion status of -mutant lower grade gliomas based on simple neuroimaging metrics. One hundred two -mutant lower grade gliomas with preoperative MR imaging and known 1p/19q status from The Cancer Genome Atlas composed a training dataset. Two neuroradiologists in consensus analyzed the training dataset for various imaging features: tumor texture, margins, cortical infiltration, T2-FLAIR mismatch, tumor cyst, T2* susceptibility, hydrocephalus, midline shift, maximum dimension, primary lobe, necrosis, enhancement, edema, and gliomatosis. Statistical analysis of the training data produced a multivariate classification model for codeletion prediction based on a subset of MR imaging features and patient age. To validate the classification model, 2 different independent neuroradiologists analyzed a separate cohort of 106 institutional -mutant lower grade gliomas. Training dataset analysis produced a 2-step classification algorithm with 86.3% codeletion prediction accuracy, based on the following: 1) the presence of the T2-FLAIR mismatch sign, which was 100% predictive of noncodeleted lower grade gliomas, ( = 21); and 2) a logistic regression model based on texture, patient age, T2* susceptibility, primary lobe, and hydrocephalus. Independent validation of the classification algorithm rendered codeletion prediction accuracies of 81.1% and 79.2% in 2 independent readers. The metrics used in the algorithm were associated with moderate-substantial interreader agreement (κ = 0.56-0.79). We have validated a classification algorithm based on simple, reproducible neuroimaging metrics and patient age that demonstrates a moderate prediction accuracy of 1p/19q-codeletion status among -mutant lower grade gliomas

A juvenile sheep model for the long-term evaluation of stentless bioprostheses implanted as aortic root replacements

Background and aim of the study: Orthotopic valve replacement in large animals is an important component of the preclinical assessment of bioprosthetic valves. To provide the most useful preclinical information, the development of models that parallel clinical practice patterns is essential. Therefore, we sought to develop a technically feasible and reproducible model for chronic evaluation of stentless bioprosthetic aortic valves implanted as aortic root replacements in juvenile sheep.Methods: Juvenile domestic sheep (mean age 21 2.28 weeks; range: 17-26 weeks) underwent aortic root replacement using standard cardiopulmonary bypass (CPB) and surgical techniques. Animals were implanted with 19 mm (n = 21), 21 mm (n = 18) or 23 mm (n = 4) bioprostheses from two different manufacturers, and followed for 150 days. Animals surviving at least 150 days were considered long-term survivors; those which died prior to postoperative day (POD) 31 were considered operative deaths.Results: Forty-three animals underwent aortic root replacement. The mean CPB time was 91 +/- 20 min (range: 62-149 min); mean cross-clamp time was 63 +/- 13 min (range: 39-95 min). Thirty-five animals (81%) survived the first 30 days of the study period. Five deaths occurred at POD 0 due to anastomotic complications. One death occurred each on POD 3, 6, and 26 as a result of prosthesis size mismatching, thromboembolic complications, and endocarditis, respectively. There were five late deaths. Twenty animals survived the minimum 150-day study period, and 12 were sacrificed at 183 +/- 17 days. Six animals remain alive at 151 +/- 0.98 days, and one animal died each on POD 184 and 190. The remaining 10 animals are not yet 150 days from their operation. Currently, all are well at 102 +/- 34 days (range: 33-140) days.Conclusion: These data suggest that long-term evaluation of stentless aortic bioprostheses implanted as aortic root replacements can be accomplished using juvenile sheep.Univ Minnesota, Dept Surg, Div Expt Surg, Minneapolis, MN 55455 USAUniv Minnesota, Div Thorac & Cardiovasc Surg, Minneapolis, MN 55455 USAEscola Paulista Med, Dept Cardiovasc & Thorac Surg, BR-04023 Sao Paulo, BrazilLabcor Labs Ltda, Belo Horizonte, MG, BrazilEscola Paulista Med, Dept Cardiovasc & Thorac Surg, BR-04023 Sao Paulo, BrazilWeb of Scienc