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- Creator:
- Saylor, Kate M
- Description:
- 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.
- Discipline:
- Health Sciences
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- Creator:
- Zongyu Li, Yuni K. Dewaraja, and Jeffrey A. Fessler
- Description:
- 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.
- Keyword:
- Deep learning, Voxel-level dosimetry, Lu-177 therapy, SPECT resolution effects
- Citation to related publication:
- "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
- Discipline:
- Health Sciences
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- Creator:
- Bhaumik, Deesha
- Description:
- 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/).
- Keyword:
- Amplicon Sequence Variant
- Citation to related publication:
- In press
- Discipline:
- Health Sciences
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- Creator:
- Lee, Dahee, Panicker, Veena, and Landis-Lewis, Zach
- Description:
- We use the term “performance summary display” (PSD) to mean a kind of visualization that relates performance levels to other types of information. In the context of healthcare organizations, PSDs are intended to be communicated to a healthcare professional, team, or organization. and Displays were identified, classified, and elements counted and coded. The performance summary display ontology provides a set of descriptions of components of displays that have been used to annotate performance feedback visualizations.
- Keyword:
- Performance
- Citation to related publication:
- Lee, D., Panicker, V., Gross, C., Zhang, J., & Landis-Lewis, Z. (2020). What was visualized? A method for describing content of performance summary displays in feedback interventions. BMC medical research methodology, 20(1), 90. https://doi.org/10.1186/s12874-020-00951-x
- Discipline:
- Health Sciences and Science
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- Creator:
- LaBarre, Jennifer L., Peterson, Karen E., Kachman, Maureen T., Perng, Wei., Tang, Lu., Hao, Wei., Zhou, Ling., Karnovsky, Alla., Cantoral, Alejandra., Téllez-Rojo, Martha María., Song, Peter XK., and Burant, Charles F.
- Description:
- Participants were enrolled in the Early Life Exposure in Mexico to ENvironmental Toxicants (ELEMENT) project which was started in 1994 and consists of three sequentially-enrolled birth cohorts from Mexico City Maternity Hospitals (20). A subset of these children, age 8-14 years, were contacted through their primary caregiver to provide urine samples, serum samples, anthropometry and complete an interview-based questionnaire (n=250). Subjects for this analysis have baseline and follow data on anthropometry, metabolic biomarkers and adequate serum volume for metabolomics analyses (n=206).
- Citation to related publication:
- LaBarre, J. L., Peterson, K. E., Kachman, M. T., Perng, W., Tang, L., Hao, W., Zhou, L., Karnovsky, A., Cantoral, A., Téllez-Rojo, M. M., Song, P. X. K., & Burant, C. F. (2020). Mitochondrial Nutrient Utilization Underlying the Association Between Metabolites and Insulin Resistance in Adolescents. The Journal of Clinical Endocrinology & Metabolism, 105(7), 2442–2455. https://doi.org/10.1210/clinem/dgaa260
- Discipline:
- Health Sciences
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- Creator:
- MacEachern, Mark, Vitous, C Ann, Dinh, Duyhoang, Jafri, Sara, Bennett, Olivia, and Suwanabol, Pasithorn
- Description:
- 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 EBSCOhost CINAHL. The searches yielded 1168 citations after duplicates were removed in Endnote X8.
- Keyword:
- Health Sciences, Systematic Review, Surgeons, Well-being, and Literature Searches
- Citation to related publication:
- Vitous, C. Ann MA, MPH*; Dinh, Duyhoang Q. BS†; Jafri, Sara M. BS‡; Bennett, Olivia M. BS†; MacEachern, Mark MLIS§; Suwanabol, Pasithorn A. MD, MS* Optimizing Surgeon Well-Being, Annals of Surgery Open: March 2021 - Volume 2 - Issue 1 - p e029 doi: 10.1097/AS9.0000000000000029
- Discipline:
- Health Sciences
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- Creator:
- Lee, Joyce Y, Knauer, Heather A, Lee, Shawna J, MacEachern, Mark P, and Garfield, Craig F
- Description:
- The dataset includes all citations considered for inclusion in the systematic review. The citations are accessible in Endnote (enlx), as well as through the primary citation export files from each database. The literature search strategies are included for reproducibility and transparency purposes. See the published methods for more information.
- Keyword:
- Systematic Review, Fathers, Education, and Perinatal
- Citation to related publication:
- Lee JY, Knauer HA, Lee SJ, MacEachern MP, Garfield CF. (2018). Father-inclusive perinatal parent education programs: A systematic review. Pediatrics, 142(1). PMID: 29903835. and https://doi.org/10.1542/peds.2018-0437
- Discipline:
- Health Sciences
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- Creator:
- Harper Diane M
- Description:
- Patients included in this study were all males with no prior HIV diagnosis between 18 and 45 years who had at least one primary care encounter between March 2016 and March 2019. We chose 2016 as the index year because the question of the sexual partners’ gender became coded data elements with the clinic contact. Eligible patients were grouped based on reported sexual partners at the most recent disclosure. Individuals who reported having a male sexual partner or both a male and female partner were included in the MSM group. The non-MSM group included individuals who reported only a female partner or no partner. Patients who did not answer the question were excluded from the study. The study proposal was submitted to the Institutional Review Boards of the University of Michigan Medical School and was exempted from ongoing IRB review (HUM00155091). Individual consent was waived for this study.
- Keyword:
- HIV, MSM, and annual screening
- Discipline:
- Health Sciences
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- Creator:
- MacEachern, Mark P, Marti, Kyriaki C, Mylonas, Anastassios I, and Gruppen, Larry
- Description:
- The dataset includes most citations considered for inclusion in the scoping review. The citations are accessible in the Endnote (enlx) file, as well as the primary citation export files from each database. The literature search strategies are included for reproducibility and transparency purposes. See the methods of the article for more information.
- Keyword:
- Dental Education, Dentistry, Education, Humanities, and Scoping Review
- Citation to related publication:
- Marti KC, Mylonas AI, MacEachern M, Gruppen L. (2019). Humanities in predoctoral dental education: A scoping review. Journal of Dental Education, 83(10), 1174-1198. DOI: 10.21815/JDE.019.126, http://www.jdentaled.org/content/83/10/1174.long, and https://doi.org/10.21815/JDE.019.126
- Discipline:
- Health Sciences
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- Creator:
- Gradwohl, Kelsey M.
- Description:
- 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.
- Keyword:
- Chalk talk, Dermatology clerkship, Dermatology education, Virtual learning, and Online learning
- Discipline:
- Health Sciences