The intent of the project was to identify all relevant studies and data related to the topic. There are searches for the following databases: Ovid MEDLINE, Elsevier Embase, Clarivate Web of Science, and Wiley Cochrane Central Register of Controlled Trials. The searches yielded 1168 citations after duplicates were removed in Endnote X8.
DeLong MR, Tandon VJ, Bertrand AA, MacEachern M, Goldberg M, Salibian A, Pusic AL, Festekjian JH, Wilkins EG. Review of Outcomes in Prepectoral Prosthetic Breast Reconstruction with and without Surgical Mesh Assistance. Plast Reconstr Surg. 2021 Feb 1;147(2):305-315. doi: 10.1097/PRS.0000000000007586. PMID: 33177453.
Survey respondents were cancer-affected patients seen at an academic medical center, and self-reported experiences with genetic testing and counseling. This is raw dataset is saved in comma separated value (.csv) format.
The intent of the project to identify all relevant studies and data related to the topic. There are searches for the following databases: Ovid MEDLINE, Elsevier Embase, Clarivate Web of Science, and Wiley Cochrane Central Register of Controlled Trials. The searches yielded 2700 citations after duplicates were removed in Endnote X8.
Woolen, S. A., Shankar, P. R., Gagnier, J. J., MacEachern, M. P., Singer, L., & Davenport, M. S. (2020). Risk of Nephrogenic Systemic Fibrosis in Patients With Stage 4 or 5 Chronic Kidney Disease Receiving a Group II Gadolinium-Based Contrast Agent: A Systematic Review and Meta-analysis. JAMA internal medicine, 180(2), 223–230. https://doi.org/10.1001/jamainternmed.2019.5284
The data set includes one file: Dermatology Clerkship Chalk Talks Raw Dataset which is the raw data collected from the surveys. This raw data was then coded and scored with the following analysis.
Objective knowledge questions were asked for each chalk talk which was scored by authors. A knowledge assessment score was calculated by adding the total number of points accumulated by the student, dividing it by the total number of points possible, and summarizing the score as a percentage. Pre- and post-talk knowledge assessment scores were compared for each chalk talk and for the entire curriculum using 2-tailed paired sample t-tests with statistical significance if p<0.05., Before and after each talk, students were asked how confident they felt differentiating conditions within each disease group. For the erythroderma and immunobullous talks, students were also asked how confident they felt working up the conditions. Answer choices were on a Likert scale ranging from 1 (not at all confident) to 5 (extremely confident). Pre- and post-chalk talk scores were summarized as means with standard deviations and compared using 2-tailed paired sample t-tests with statistical significance if p<0.05. , After each talk, students were asked about its efficacy in terms of enhancing their understanding of the diseases, providing a framework or approach to work-up, and facilitating interaction between student and teacher. Answer choices were on a Likert scale ranging from 1 (not at all effective) to 5 (extremely effective), and summarized as means with standard deviations.
Students were asked for written feedback regarding what they liked about the talk and suggestions for improvement. Qualitative data were sorted into categories and scored by two independent raters (cohen's kappa =0.8)., and In the response Likert scale, "Not at all"=1, "Not so (much)"=2, "Somewhat"=3, "Very"=4, and "Extremely"=5.
The dataset includes all citations considered for inclusion in the literature review. Abstracts and keywords have been removed from the citation file. The citation file was exported in an .RIS format and can be imported with any citation manger such as EndNote, Zotero, Mendeley, RefWorks, etc. The literature search strategies are included for reproducibility and transparency purposes.
Current methods for patient-specific voxel-level dosimetry in radionuclide therapy suffer from a trade-off between accuracy and computational efficiency. Monte Carlo (MC) radiation transport algorithms are considered the gold standard for voxel-level dosimetry but can be computationally expensive, whereas faster dose voxel kernel (DVK) convolution can be sub-optimal in the presence of tissue heterogeneities. Furthermore, the accuracies of both these methods are limited by the spatial resolution of the reconstructed emission image. To overcome these limitations, this paper considers a single deep convolutional neural network (CNN) with residual learning (named DblurDoseNet) that learns to produce dose-rate maps while compensating for the limited resolution of SPECT images.
We took the novel approach of constructing a convolutional neural network with residual learning to handle the accuracy-efficiency tradeoff while compensating for the limited resolution of SPECT images. We then test our CNN on clinically relevant phantoms and patients undergoing Lu-177 DOTATATE therapy in our clinic. Our network demonstrated superior results than Monte Carlo, the current gold standard for voxel dosimetry, but only takes a fraction of time. Thus, the DblurDoseNet has the potential for real-time patient-specific dosimetry in clinical treatment planning due to its demonstrated improvement in accuracy, resolution, noise and speed over the DVK/MC approaches.
Matlab is needed to access the phantoms and Python (with Numpy package installed) is needed to access the DVKs.
"DblurDoseNet: A Deep Residual Learning Network for Voxel Radionuclide Dosimetry Compensating for SPECT Imaging Resolution" by Zongyu Li, Jeffrey A. Fessler, Justin K. Mikell, Scott J. Wilderman and Yuni K. Dewaraja. Accepted by Medical Physics, 2021. DOI: 10.1002/mp.15397
This cross-sectional analysis included 584 participants in the Center for Oral Health Research in Appalachia cohort 1 (COHRA1). We sequenced the V4 region of the 16S rRNA of supragingival plaque from 185 caries-active and 565 caries-free teeth using the Illumina MiSeq platform. Sequences were filtered using the R DADA2 package and assigned taxonomy using the Human Oral Microbiome Database ( http://www.homd.org/).
The search data supports a literature review project on Strategies to Increase Black Enrollment and Retention in Cancer Clinical Trials. This dataset includes the reproducible search strategies (txt file) and the exported results of all citations from all databases (txt, ris, and.nbib files). These searches and exported result files contain all citations originating from the database searches that were considered for inclusion.
Data comparing the Simplified Endoscopic Mucosal Assessment for Crohn's Disease (SEMA-CD) from video recordings of colonoscopies to SEMA-CD scoring of their corresponding colonoscopy reports from pediatric patients with Crohn's disease.