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- 저자 : Rollins, Ralph L. (검색결과 6 건)
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Seo, Youngseob,Wang, Zhiyue J,Ball, Gareth,Rollins, Nancy K Springer-Verlag 2013 Pediatric radiology Vol.43 No.1
<P>Diffusion tensor data can be analyzed using region-of-interest (ROI) analysis and tract-based spatial statistics (TBSS). There is essentially no literature validating or comparing these techniques in the neonate.</P>
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Alexis R. Peedin,Irina Perjar,Marshall A. Mazepa,Marian A. Rollins-Raval,Yara A. Park,Jay S. Raval 대한혈액학회 2019 Blood Research Vol.54 No.2
BackgroundTransfusion medicine (TM) knowledge varies widely among physician trainees. In addi-tion, there have been few instances in which curricular changes have been meaningfully assessed for TM education in medical school.MethodsWe created and presented a novel lecture to improve TM knowledge for graduating medi-cal students using eight objectives designed to reinforce critical information about blood management. Each objective was coded according to unique color schemes, fonts, and graphics to create visual associations while quickly and clearly presenting complex concepts. The validated BEST Collaborative exam was used to measure changes in student TM knowledge, while a survey was conducted to gauge changes in confidence for each objective. Students were asked to submit anonymous feedback about their experiences. ResultsThe mean student post-course exam score was 50.0%, while the pre-course baseline score was 27.5% (P<0.0001). Mean confidence levels increased significantly for all objectives. Student feedback was universally positive.ConclusionThis study improved knowledge and confidence for graduating medical students by utiliz-ing engaging and visually stimulating presentations to display high-impact TM material. However, further efforts are needed to optimize learning.
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De Jong, Wim H.,Hoffmann, Sebastian,Lee, Michelle,Kandá,rová,, Helena,Pellevoisin, Christian,Haishima, Yuji,Rollins, Beau,Zdawczyk, Austin,Willoughby, Jamin,Bachelor, Michael,Schatz, Timot Elsevier 2018 Toxicology in vitro Vol.50 No.-
<P><B>Highlights</B></P> <P> <UL> <LI> Alternative in vitro testing of medical device extracts for irritation is possible. </LI> <LI> Reconstructed human epidermis (RhE) model detects presence of irritant in extracts. </LI> <LI> High predictivity RhE model for presence of strong irritants in material extracts. </LI> <LI> Predictivity in saline or sesame oil extract depends on hydrophilicity of irritant. </LI> <LI> Four positive polymer test materials containing a known irritant were evaluated. </LI> </UL> </P>
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Wang, Zhiyue J.,Seo, Youngseob,Babcock, Evelyn,Huang, Hao,Bluml, Stefan,Wisnowski, Jessica,Holshouser, Barbara,Panigrahy, Ashok,Shaw, Dennis W.W.,Altman, Nolan,McColl, Roderick W.,Rollins, Nancy K. John Wiley and Sons Inc. 2016 Journal of applied clinical medical physics Vol.17 No.3
<P>The purpose of this study was to explore the feasibility of assessing quality of diffusion tensor imaging (DTI) from multiple sites and vendors using American College of Radiology (ACR) phantom. Participating sites (Siemens (n=2), GE (n=2), and Philips (n=4)) reached consensus on parameters for DTI and used the widely available ACR phantom. Tensor data were processed at one site. <SUB>B0</SUB> and eddy current distortions were assessed using grid line displacement on phantom Slice 5; signal‐to‐noise ratio (SNR) was measured at the center and periphery of the b=0 image; fractional anisotropy (FA) and mean diffusivity (MD) were assessed using phantom Slice 7. Variations of acquisition parameters and deviations from specified sequence parameters were recorded. Nonlinear grid line distortion was higher with linear shimming and could be corrected using the 2nd order shimming. Following image registration, eddy current distortion was consistently smaller than acquisition voxel size. SNR was consistently higher in the image periphery than center by a factor of 1.3–2.0. ROI‐based FA ranged from 0.007 to 0.024. ROI‐based MD ranged from 1.90×<SUP>10−3</SUP> to 2.33×<SUP>10−3</SUP><SUP>mm2</SUP>/s(median=2.04×<SUP>10−3</SUP><SUP>mm2</SUP>/s). Two sites had image void artifacts. The ACR phantom can be used to compare key quality measures of diffusion images acquired from multiple vendors at multiple sites.</P><P>PACS number(s): 87.57.‐s, 87.19.lf</P>
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