The value of medical shadowing for high school students: A three-dimensional view.

Medical shadowing helps provide clinical exposure to aspiring and current medical students, mainly at the college level. This paper makes a case for making medical shadowing opportunities more widely available for high school students. Through the perspective of a high school student who got such an opportunity, we demonstrate that high school students can gain valuable clinical knowledge and exposure to the ethics involved in patient care, inspiring them to explore further pathways that will help them make better-informed academic and career choices. This high school student provides pointers on preparing for medical shadowing encounters through background research and developing a note-taking template. We also offer early-career and experienced physicians' perspectives on how providing medical shadowing opportunities to high school students benefits practicing physicians by energizing their motivation, reaffirming their commitment to the profession, and gaining a fresh perspective on their work. We believe that medical shadowing for high school students can open channels to attract and motivate a young and diverse talent pool to the medical profession that will help mitigate the projected shortfall of physicians in the next decade.

Cincinnati Prehospital Stroke Scale Implementation of an Urban County Severity-Based Stroke Triage Protocol: Impact and Outcomes on a Comprehensive Stroke Center.

BACKGROUND AND PURPOSE: Screening scales are recommended to assist field-based triage of acute stroke patients to designated stroke centers. Cincinnati prehospital stroke scale (CPSS) is a commonly used prehospital stroke screening tool and has been validated to identify large vessel occlusion (LVO). This study addresses the impact of county-based CPSS implementation to triage suspected LVO patients to a comprehensive stroke center (CSC). MATERIALS AND METHODS: Dekalb County in Atlanta, Georgia, implemented CPSS-based protocol with score of 3 and last seen normal time < 24 h mandating transfer to the nearest CSC if the added bypass time was <15 min. Frequency of stroke codes, LVO, IV-tPA use, and thrombectomy treatment were compared six months before and after protocol change (November 1, 2020). RESULTS: During the study period, 907 stroke patients presented to the CSC by EMS, including 289 (32%) with CPSS score 3. There was an increase in monthly ischemic stroke volume (pre-16 ± 2 vs.19 ± 3 p = 0.03), LVO (pre-4.3 ± 1.7 vs. post-7.0 ± 2.4; p = 0.03), EVT (pre-15% vs. post-30%; p = 0.001), without significant increase in stroke mimic volume or delay in mean time from last seen normal to IV-tPA (pre-165 ± 66, post-158 ± 49 min; p = 0.35). CPSS score 3 was associated with increased likelihood of LVO diagnosis (OR 8.5, 95% CI 5.0-14.4; p = 0.001) and decreased the likelihood of stroke mimics (OR 0.66, 95% CI 0.50-0.88; p = 0.004). CONCLUSION: CPSS is a quick, easy to implement, and reliable prehospital severity scale for EMS to triage LVO to CSC without delaying IV-tPA treatment or significantly increasing stroke mimics.

Statistical Laws of Protein Motion in Neuronal Dendritic Trees.

Across their dendritic trees, neurons distribute thousands of protein species that are necessary for maintaining synaptic function and plasticity and that need to be produced continuously and trafficked to their final destination. As each dendritic branchpoint splits the protein flow, increasing branchpoints decreases the total protein number downstream. Consequently, a neuron needs to produce more proteins to maintain a minimal protein number at distal synapses. Combining in vitro experiments and a theoretical framework, we show that proteins that diffuse within the cell plasma membrane are, on average, 35% more effective at reaching downstream locations than proteins that diffuse in the cytoplasm. This advantage emerges from a bias for forward motion at branchpoints when proteins diffuse within the plasma membrane. Using 3D electron microscopy (EM) data, we show that pyramidal branching statistics and the diffusion lengths of common proteins fall into a region that minimizes the overall protein need.

Diagnostic A-Scan of Choroidal Melanoma: Automated Quantification of Parameters.

AIM: To develop an automated algorithm to quantify ultrasonographic A-scan parameters of choroidal melanoma. METHODS: The study included 100 consecutive patients with a clinical diagnosis of choroidal melanoma. Ultrasonographic A-scans (8 MHz, 1,550 m/s, tissue sensitivity = 67 dB) were performed by standard techniques. We created and then utilized a MATLAB® script to generate four quantifiable A-scan parameters: (1) tumor height (mm), (2) the number of internal reflectivity peaks (numerical value), (3) median internal reflectivity (%), and (4) angle κ (°). RESULTS: There were small (≤2.5 mm, n = 32), medium (2.6-10.0 mm, n = 53), and large (> 10.0 mm, n = 14) tumors. The mean number of internal reflectivity peaks counted between the two tumor boundary spikes (surface and base) was 10.0 (σ = 8.7, range 1-37). The median value of the internal reflectivity peaks for all cases varied from 19.8 to 99.5 (mean = 68.3, σ = 20.5). A statistically significant correlation was observed between the tumor height categories and each of the three A-scan parameters: the number of internal reflectivity peaks (ρ = 0.90, p < 0.01), median internal reflectivity (ρ = -0.63, p < 0.01), and a positive angle κ (ρ = -0.32, p = 0.03). CONCLUSIONS: An automated algorithm can provide quantifiable A-scan parameters for choroidal melanoma.

Diagnostic A-Scan of Choroidal Tumors: Comparison of Quantified Parameters.

AIM: To compare quantified ultrasonographic A-scan parameters of common choroidal tumors. METHODS: Consecutive patients with a clinical diagnosis of choroidal melanoma (n = 100), choroidal nevus (n = 30), choroidal metastasis (n = 10), and circumscribed choroidal hemangioma (n = 10) were included in this study. Ultrasonographic A-scans (8 MHz, 1,550 m/s, tissue sensitivity = 67 dB) were performed by standard techniques. Using a custom made MATLAB® script, four quantifiable A-scan parameters: tumor height (mm), number of internal reflectivity peaks (numerical value), median internal reflectivity (%), and angle κ (°) were obtained for all (n = 150) tumors. RESULTS: The mean number of internal reflectivity peaks for choroidal nevus, choroidal metastasis, and circumscribed choroidal hemangioma was 3.1, 5.1, and 4.0, respectively. The median internal reflectivity for choroidal melanoma varied from 21.5 to 99.5% (mean = 76.4%). The median internal reflectivity was ≥65% in all choroidal nevus (100%), choroidal metastasis (100%), and circumscribed choroidal hemangioma (100%), and majority of the choroidal melanoma (78%). CONCLUSIONS: The quantified A-scan patterns of common choroidal tumors were significantly influenced by the tumor height. Other than median internal reflectivity of < 65%, which seems to distinguish choroidal melanoma from other tumors (choroidal nevus, choroidal metastasis, and circumscribed choroidal hemangioma), there were no specific diagnostic patterns.

How mRNA Localization and Protein Synthesis Sites Influence Dendritic Protein Distribution and Dynamics.

Proteins drive the function of neuronal synapses. The synapses are distributed throughout the dendritic arbor, often hundreds of micrometers away from the soma. It is still unclear how somatic and dendritic sources of proteins shape protein distribution and respectively contribute to local protein changes during synaptic plasticity. Here, we present a unique computational framework describing for a given protein species the dendritic distribution of the mRNA and the corresponding protein in a dendrite. Using CaMKIIα as a test case, our model reveals the key role active transport plays in the maintenance of dendritic mRNA and protein levels and predicts the short and long timescales of protein dynamics. Our model reveals the fundamental role of mRNA localization and dendritic mRNA translation in synaptic maintenance and plasticity in distal compartments. We developed a web application for neuroscientists to explore the dynamics of the mRNA or protein of interest.