1,520 research outputs found

    Optimal MRI sequences for 68Ga-PSMA-11 PET/MRI in evaluation of biochemically recurrent prostate cancer.

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    BackgroundPET/MRI can be used for the detection of disease in biochemical recurrence (BCR) patients imaged with 68Ga-PSMA-11 PET. This study was designed to determine the optimal MRI sequences to localize positive findings on 68Ga-PSMA-11 PET of patients with BCR after definitive therapy. Fifty-five consecutive prostate cancer patients with BCR imaged with 68Ga-PSMA-11 3.0T PET/MRI were retrospectively analyzed. Mean PSA was 7.9 Â± 12.9 ng/ml, and mean PSA doubling time was 7.1 Â± 6.6 months. Detection rates of anatomic correlates for prostate-specific membrane antigen (PSMA)-positive foci were evaluated on small field of view (FOV) T2, T1 post-contrast, and diffusion-weighted images. For prostate bed recurrences, the detection rate of dynamic contrast-enhanced (DCE) imaging for PSMA-positive foci was evaluated. Finally, the detection sensitivity for PSMA-avid foci on 3- and 8-min PET acquisitions was compared.ResultsPSMA-positive foci were detected in 89.1% (49/55) of patients evaluated. Small FOV T2 performed best for lymph nodes and detected correlates for all PSMA-avid lymph nodes. DCE imaging performed the best for suspected prostate bed recurrence, detecting correlates for 87.5% (14/16) of PSMA-positive prostate bed foci. The 8-min PET acquisition performed better than the 3-min acquisition for lymph nodes smaller than 1 cm, detecting 100% (57/57) of lymph nodes less than 1 cm, compared to 78.9% (45/57) for the 3-min acquisition.ConclusionPSMA PET/MRI performed well for the detection of sites of suspected recurrent disease in patients with BCR. Of the MRI sequences obtained for localization, small FOV T2 images detected the greatest proportion of PSMA-positive abdominopelvic lymph nodes and DCE imaging detected the greatest proportion of PSMA-positive prostate bed foci. The 8-min PET acquisition was superior to the 3 min acquisition for detection of small lymph nodes

    Neutral Plasma Oscillations at Zero Temperature

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    We use cold plasma theory to calculate the response of an ultracold neutral plasma to an applied rf field. The free oscillation of the system has a continuous spectrum and an associated damped quasimode. We show that this quasimode dominates the driven response. We use this model to simulate plasma oscillations in an expanding ultracold neutral plasma, providing insights into the assumptions used to interpret experimental data [Phys. Rev. Lett. 85, 318 (2000)].Comment: 4.3 pages, including 3 figure

    This We Believe, This We Do: Performance-Based Assessment in Middle Level Teacher Education

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    To assist institutions in developing high quality middle level teacher preparation programs, five veteran members of the NCATE/NMSA Program Review Board have identified more than 75 performance-based assessments directly correlated with the seven NMSA Standards for Teacher Preparation. In this article, 14 of these assessments are described in detail along with a sampling of rubrics. In addition, authors reveal their own challenges writing program reports as well as gaining stakeholder’s buy-in to performance-based assessment systems at their own institutions

    Introduction

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    Introduction to the assessing, planning and adapting to climate change Impacts in Skagit River watershed session of the Salish Sea Conference

    The quality of surgical pathology care for men undergoing radical prostatectomy in the U.S.

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    BACKGROUND. The authors assessed adherence with the College of American Pathologists (CAP) radical prostatectomy (RP) practice protocol in a national sample of men who underwent RP for early-stage prostate cancer. METHODS. Using the National Cancer Data Base, the authors identified a nationally representative sample of 1240 men (unweighted) who underwent RP. For each patient, local cancer registrars performed an explicit medical record review to assess patient-level compliance with surgical pathology report documentation of 7 morphologic criteria (ie, quality indicators). Applying the CAP prognostic factor classification framework, composite measures and all-or-none measures of quality indicator compliance were calculated for the following analytic categories: 1) a strict subset of CAP category I prognostic factors (3 indicators), 2) a broad subset of CAP category I factors (6 indicators), and 3) the full set of 7 indicators. RESULTS. Among a weighted sample of 24,420 patients who underwent RP, compliance with documentation of the CAP category I factors varied from 54% (95% confidence interval [95% CI], 50–58%) for pathologic tumor, lymph node, metastases classification (according to the American Joint Committee on Cancer staging system) to 97% (95% CI, 96–99%) for Gleason score. In composite, RP pathology reports contained 83% (95% CI, 81–84%), 85% (95% CI, 84–87%), and 79% (95% CI, 78–80%) of the recommended data elements measured by the strict CAP category I subset, the broad CAP category I subset, and the full set of 7 indicators, respectively. In contrast to the generally higher composite scores, only 52% (95% CI, 48–56%) and 41% (95% CI, 37–45%) of men who underwent RP had complete documentation in their pathology reports for the strict and broad CAP category I subsets, respectively. CONCLUSIONS. RP surgical pathology reports contained most of the recommended data elements; however, the frequent absence of pathologic stage provides an opportunity for quality improvement. Cancer 2007. © 2007 American Cancer Society.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/56046/1/22698_ftp.pd

    DeepSF: deep convolutional neural network for mapping protein sequences to folds

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    Motivation Protein fold recognition is an important problem in structural bioinformatics. Almost all traditional fold recognition methods use sequence (homology) comparison to indirectly predict the fold of a tar get protein based on the fold of a template protein with known structure, which cannot explain the relationship between sequence and fold. Only a few methods had been developed to classify protein sequences into a small number of folds due to methodological limitations, which are not generally useful in practice. Results We develop a deep 1D-convolution neural network (DeepSF) to directly classify any protein se quence into one of 1195 known folds, which is useful for both fold recognition and the study of se quence-structure relationship. Different from traditional sequence alignment (comparison) based methods, our method automatically extracts fold-related features from a protein sequence of any length and map it to the fold space. We train and test our method on the datasets curated from SCOP1.75, yielding a classification accuracy of 80.4%. On the independent testing dataset curated from SCOP2.06, the classification accuracy is 77.0%. We compare our method with a top profile profile alignment method - HHSearch on hard template-based and template-free modeling targets of CASP9-12 in terms of fold recognition accuracy. The accuracy of our method is 14.5%-29.1% higher than HHSearch on template-free modeling targets and 4.5%-16.7% higher on hard template-based modeling targets for top 1, 5, and 10 predicted folds. The hidden features extracted from sequence by our method is robust against sequence mutation, insertion, deletion and truncation, and can be used for other protein pattern recognition problems such as protein clustering, comparison and ranking.Comment: 28 pages, 13 figure

    Cytogenetic Studies of Normal and Cleft-Palate Epitheliums in Mice

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    This study investigated teratogenic activity on a cellular level through analysis of the cytogenetic complex in cleft-palate epithelial cells from the progenies of mice treated with cortisone. Analysis showed no detectable aberration from a normal chromosomal complement.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68120/2/10.1177_00220345690480041601.pd

    Epidemiology, Clinical Features, and Management of Texas Coral Snake (Micrurus tener) Envenomations Reported to the North American Snakebite Registry.

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    INTRODUCTION: Few of the 5000-8000 snakebites reported to poison control centers annually in the USA are attributed to coral snakes. This study describes Texas coral snake envenomations reported to the North American Snakebite Registry. METHODS: All Texas coral snake envenomation cases reported to the registry were identified for the period from January 1, 2015, through December 31, 2019. Data reviewed for this study included details regarding the snake encounter, patient demographics, signs and symptoms, treatment, and outcomes. Descriptive statistics were used to report results. RESULTS: Ten men and four nonpregnant women reported coral snake bites. The median patient age was 15.5 (range 5-72 years). There were 12 upper extremity bites and two bites to the lower extremity. The most common symptoms reported were paresthesias and pain. All subjects had paresthesias, often described as an electric sensation. Seven patients described them as painful. The most common clinical findings were erythema and swelling. No patient developed tissue damage, hematotoxicity, rhabdomyolysis, hypotension, weakness, or respiratory symptoms. Thirteen subjects were treated with opioids. Six patients were treated with antiemetics: three prophylactically and two for opioid-induced nausea. One patient developed nausea and non-bloody, nonbilious emesis within 1 hour of the bite, prior to receiving opioids. No patients were treated with antivenom. Antibiotics were not administered to any patient, and no infections were reported. CONCLUSIONS: Envenomations from M. tener in Southeast Texas are characterized by painful paresthesias. Mild swelling and erythema are common. Neurotoxicity necessitating antivenom or mechanical ventilation did not occur
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