Notes

Radiological diagnostics within nose dermoids: Issues, predictive ideals as well as novels evaluation.
Recent studies report that up to 50% of medical students feel burned out. Medical student burnout has significant public health consequences-as students detach, the quality of patient care is impacted, and students themselves suffer, as evidenced by the increased risk in substance use and suicide. While some theorize that medical student burnout is due to an inability to confront suffering, death, and their own mortality, this hypothesis fails to explain why pre-clinical students also experience burnout despite having minimal clinical exposure. learn more /r/medicalschool, a news-aggregating website for medical students, was queried for posts from the creation of the subreddit, December 11, 2009, to July 1, 2018, for the term "burnout" and its grammatical variations. Three hundred fifty-two posts and their comment threads were analyzed using a grounded theory approach. When the causes of burnout were interpreted using an existential psychodynamic framework, the predominant themes that arose were difficulties dealing with freedom (groundlessness), existential isolation, and meaninglessness, rather than death anxiety stemming from witnessing the suffering of patients. Students feel as if they are not living up to their own values of what a physician should be like and are troubled by the inconsistent values within the hidden, informal, and formal curriculum. Individualized interventions are temporary fixes that allow people to withstand their environment and complete their training; however, the learning environment needs change to better empower students to live a life full of existential meaning.Metaphor analysis is a useful tool for uncovering tacit assumptions and beliefs. In education, metaphor analysis of students' attitudes and motivations can provide useful insights for educational discourse and curriculum development. The current metaphor analysis of Japanese entry-level medical students' conceptualizations of their future profession of physician was conducted to determine what insights might be derived therefrom for medical educational discourse and curriculum development. For the analysis, the students filled in the blanks of a metaphorical statement, A physician is like _____ because _____, and the metaphors thus collected were coded using content analysis procedures. Ninety-one metaphorical statements were included for analysis. Two generic-level conceptual metaphors were identified the physician as deeply caring figure (49/91, 53.8%), in which metaphors relating to family members were predominant (25/49, 51.0%), and the physician as specially able and skillful figure, in which just over half of the metaphors related to a super being (22/42, 52.3%). The predominantly positive metaphors elicited by this study reflect high levels of idealism in this group of students about to embark on their medical studies. However, the high number of metaphors relating the physician to a super being emphasizes the need for space in the medical curriculum devoted to discussion of the realities of uncertainty and fallibility in medical care. Extrapolating more broadly, metaphor analysis may be used in other areas of the medical profession, such as for exploring values and beliefs about medical practice and for comparing cross-cultural perspectives in medical teams composed of members from different countries.
Our goal was to determine whether use of the iPad would increase the students' radiologic knowledge, aid in their interpretation of imaging exams, and increase learner satisfaction.

iPads were pre-populated with ten image data sets, which included plain film, ultrasound, and CT of the head, chest, abdomen, and pelvis. The students, working in small groups, were charged with identifying the salient imaging findings, formulating a differential diagnosis, and choosing the most appropriate imaging modality, if further work-up was necessary. After the student group problem-solved for an hour, a faculty facilitator joined the group and reviewed the cases with them in an interactive fashion. Pre- and post- intervention tests were administered, and statistical analysis was performed.

Student satisfaction surveys were administered to 125 students in the first 2years of the study. These scores rated their assessment of the iPad exercise and ranged from 4.6 to 4.9 out of 5. The knowledge evaluation group included 219 students, 110 in the study group and 109 in the control group, in the latter 3years of the study. The average improvement from the initial to the second test was 1.04 points among the control group and 2.32 among the study group, which was statistically significant (
 = 0.0001).

We demonstrate increased learner satisfaction, as well as improved knowledge acquisition and interpretive skills of third year medical students engaged in hands-on learning using iPads.
We demonstrate increased learner satisfaction, as well as improved knowledge acquisition and interpretive skills of third year medical students engaged in hands-on learning using iPads.
Medical schools are shifting to a holistic approach for admissions. As non-cognitive abilities become more valued in the medical field and admissions become more competitive, multiple mini-interviews (MMI) are becoming increasingly common in selection criteria. The purpose of this article is to examine the relationship among admissions criteria to create a predictive model of acceptance to medical school. This article also aims to examine, among matriculated students, the relationship between MMI and traditional academic success, and the relationship between MMI scores and clinical competence and academic accolades.

This longitudinal study followed a cohort of students from the MMI process through the first two pre-clinical years at a medical school in the southeastern USA. Multiple logistic regression with backward elimination variable selection was used to examine the relationship between admission criteria and acceptance. A multivariate multinomial ordered probit model was used to assess the relationship between MMI and traditional academic success among matriculated students. Simple linear regression models were used to assess relationships between MMI and Objective Structured Clinical Examination (OSCE) scores and honors nomination.

MMI are among eight significant predictors of acceptance. Among matriculated students, there were weak negative associations between MMI and traditional academic success; however, all but one relationship was statistically non-significant. There was not a significant association between MMI and OSCE scores or academic accolades.

While MMI can identify students with non-cognitive skills needed to be a good physician, continued assessment needs to be incorporated in their education.
While MMI can identify students with non-cognitive skills needed to be a good physician, continued assessment needs to be incorporated in their education.Applications of far infrared (Far-IR) and terahertz (THz) radiation in areas such as healthcare and security are fast-growing. As a consequence, humans and the environment are becoming more exposed to mm-wave and Far-IR radiation than previously. We examined typical skin-care and sunscreen ingredients and propitiatory products with transmission FTIR, ATR-FTIR and THz-time domain spectroscopy (THz-TDS) methods using fresh and dehydrated toad and fresh human skin samples for their absorption properties in these frequency ranges. The skin hydration compounds glycerol and sorbitol have comparable absorption characteristics to physiological bulk water. Products containing these and similar hydrating compounds have significant Far-IR absorption characteristics. The sunscreen ingredients ZnO (20 micron), TiO2 (mesh 325), and graphene platelet demonstrate a generally poor Far-IR absorbance, with TiO2 displaying some frequency-specific absorption in the 3-6 THz and 12 THz regions. The Far-IR absorbance of proprietary sunscreens was, however, shown not to be significant. The absorption properties of melanin, collagen, bound water, and other constituents are significant in dehydrated skin samples but are not of the same order of importance as the hydrating agents examined.Optical coherence tomography (OCT) is a three-dimensional non-invasive high-resolution imaging modality that has been widely used for applications ranging from medical diagnosis to industrial inspection. Common OCT systems are equipped with limited field-of-view (FOV) in both the axial depth direction (a few millimeters) and lateral direction (a few centimeters), prohibiting their applications for samples with large and irregular surface profiles. Image stitching techniques exist but are often limited to at most 3 degrees-of-freedom (DOF) scanning. In this work, we propose a robotic-arm-assisted OCT system with 7 DOF for flexible large FOV 3D imaging. The system consists of a depth camera, a robotic arm and a miniature OCT probe with an integrated RGB camera. The depth camera is used to get the spatial information of targeted sample at large scale while the RGB camera is used to obtain the exact position of target to align the image probe. Eventually, the real-time 3D OCT imaging is used to resolve the relative pose of the probe to the sample and as a feedback for imaging pose optimization when necessary. Flexible probe pose manipulation is enabled by the 7 DOF robotic arm. We demonstrate a prototype system and present experimental results with flexible tens of times enlarged FOV for plastic tube, phantom human finger, and letter stamps. It is expected that robotic-arm-assisted flexible large FOV OCT imaging will benefit a wide range of biomedical, industrial and other scientific applications.The purpose of this study is to quantitatively assess correlations between local geographic atrophy (GA) growth rates and local optical coherence tomography angiography (OCTA)-measured choriocapillaris (CC) flow deficits. Thirty-eight eyes from 27 patients with GA secondary to age-related macular degeneration (AMD) were imaged with a commercial 1050 nm swept-source OCTA instrument at 3 visits, each separated by ∼6 months. Pearson correlations were computed between local GA growth rates, estimated using a biophysical GA growth model, and local OCTA CC flow deficit percentages measured along the GA margins of the baseline visits. The p-values associated with the null hypothesis of no Pearson correlation were estimated using a Monte Carlo permutation scheme that incorporates the effects of spatial autocorrelation. The null hypothesis (Pearson's ρ = 0) was rejected at a Benjamini-Hochberg false discovery rate of 0.2 in 15 of the 114 visit pairs, 11 of which exhibited positive correlations; even amongst these 11 visit pairs, correlations were modest (r in [0.30, 0.53]). The presented framework appears well suited to evaluating other potential imaging biomarkers of local GA growth rates.Tissue polarimetry holds great promise to improve the effectiveness of conventional cancer diagnostics and staging, being a fast, minimally invasive, and low-cost optical technique. We introduce an enhanced diagnostic method for ex vivo colon specimens assessment by utilizing Stokes and Mueller matrix polarimetry. The proposed method makes use of experimental Mueller matrices, measured from healthy and tumor zones of a colon specimen, as input data for post-processing algorithms that include physical realisability filtering, symmetric decomposition and estimation of various polarization and depolarization metrics for colon specimen diagnostics. We validated our results with the gold standard histological diagnostics provided by pathologists. It was found that the Stokes-Mueller matrix polarimetry, combined with the appropriate filtering, decomposition algorithms and polarization/depolarization metrics calculations provides relevant optical markers of the colon tissue pathological conditions (healthy versus cancer), as confirmed by histopathology analysis.
My Website: https://www.selleckchem.com/TGF-beta.html