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Singh AP, Jain VS, Yu JPJ. Diffusion radiomics for subtyping and clustering in autism spectrum disorder: A preclinical study. Magn Reson Imaging 2023; 96:116-125. [PMID: 36496097 PMCID: PMC9815912 DOI: 10.1016/j.mri.2022.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/24/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022]
Abstract
Autism spectrum disorder (ASD) is a highly prevalent, heterogenous neurodevelopmental disorder. Neuroimaging methods such as functional, structural, and diffusion MRI have been used to identify candidate imaging biomarkers for ASD, but current findings remain non-specific and likely arise from the heterogeneity present in ASD. To account for this, efforts to subtype ASD have emerged as a potential strategy for both the study of ASD and advancement of tailored behavioral therapies and therapeutics. Towards these ends, to improve upon current neuroimaging methods, we propose combining biologically sensitive neurite orientation dispersion and density index (NODDI) diffusion MR imaging with radiomics image processing to create a new methodological approach that, we hypothesize, can sensitively and specifically capture neurobiology. We demonstrate this method can sensitively distinguish differences between four genetically distinct rat models of ASD (Fmr1, Pten, Nrxn1, Disc1). Further, we demonstrate diffusion radiomic analyses hold promise for subtyping in ASD as we show unsupervised clustering of NODDI radiomic data generates clusters specific to the underlying genetic differences between the animal models. Taken together, our findings suggest the unique application of radiomic analysis on NODDI diffusion MRI may have the capacity to sensitively and specifically disambiguate the neurobiological heterogeneity present in the ASD population.
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Affiliation(s)
- Ajay P. Singh
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA.,Medical Scientist Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA,Graduate Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Vansh S. Jain
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
| | - John-Paul J. Yu
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA.,Graduate Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, WI 53706, USA.,Neuroscience Training Program, Wisconsin Institutes for Medical Research, University of Wisconsin–Madison, Madison, WI 53705, USA.,Department of Biomedical Engineering, University of Wisconsin–Madison, Madison, WI 53706, USA.,Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA.,Corresponding Author: John-Paul J. Yu, MD, PhD, Departments of Radiology, Psychiatry, and Biomedical Engineering, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792,
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Yi SY, Pirasteh A, Wang J, Bradshaw T, Jeffery JJ, Barnett BR, Stowe NA, McMillan AB, Vivas EI, Rey FE, Yu JPJ. 18F-SynVesT-1 PET/MR Imaging of the Effect of Gut Microbiota on Synaptic Density and Neurite Microstructure: A Preclinical Pilot Study. Front Radiol 2022; 2:895088. [PMID: 37492655 PMCID: PMC10365022 DOI: 10.3389/fradi.2022.895088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 05/04/2022] [Indexed: 07/27/2023]
Abstract
The gut microbiome profoundly influences brain structure and function. The gut microbiome is hypothesized to play a key role in the etiopathogenesis of neuropsychiatric and neurodegenerative illness; however, the contribution of an intact gut microbiome to quantitative neuroimaging parameters of brain microstructure and function remains unknown. Herein, we report the broad and significant influence of a functional gut microbiome on commonly employed neuroimaging measures of diffusion tensor imaging (DTI), neurite orientation dispersion and density (NODDI) imaging, and SV2A 18F-SynVesT-1 synaptic density PET imaging when compared to germ-free animals. In this pilot study, we demonstrate that mice, in the presence of a functional gut microbiome, possess higher neurite density and orientation dispersion and decreased synaptic density when compared to age- and sex-matched germ-free mice. Our results reveal the region-specific structural influences and synaptic changes in the brain arising from the presence of intestinal microbiota. Further, our study highlights important considerations for the development of quantitative neuroimaging biomarkers for precision imaging in neurologic and psychiatric illness.
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Affiliation(s)
- Sue Y. Yi
- Neuroscience Training Program, Wisconsin Institutes for Medical Research, University of Wisconsin–Madison, Madison, WI, United States
| | - Ali Pirasteh
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - James Wang
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Tyler Bradshaw
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Justin J. Jeffery
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Brian R. Barnett
- Neuroscience Training Program, Wisconsin Institutes for Medical Research, University of Wisconsin–Madison, Madison, WI, United States
| | - Nicholas A. Stowe
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Alan B. McMillan
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Eugenio I. Vivas
- Department of Bacteriology, University of Wisconsin–Madison, Madison, WI, United States
- Gnotobiotic Animal Core Facility, Biomedical Research Model Services, University of Wisconsin–Madison, Madison, WI, United States
| | - Federico E. Rey
- Department of Bacteriology, University of Wisconsin–Madison, Madison, WI, United States
| | - John-Paul J. Yu
- Neuroscience Training Program, Wisconsin Institutes for Medical Research, University of Wisconsin–Madison, Madison, WI, United States
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
- Department of Biomedical Engineering, University of Wisconsin–Madison, Madison, WI, United States
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
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Yi SY, Barnett BR, Poetzel MJ, Stowe NA, Yu JPJ. Clinical translational neuroimaging of the antioxidant effect of N-acetylcysteine on neural microstructure. Magn Reson Med 2022; 87:820-836. [PMID: 34590731 PMCID: PMC8627450 DOI: 10.1002/mrm.29035] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/20/2021] [Accepted: 09/15/2021] [Indexed: 02/03/2023]
Abstract
PURPOSE Oxidative stress and downstream effectors have emerged as important pathological processes that drive psychiatric illness, suggesting that antioxidants may have a therapeutic role in psychiatric disease. However, no imaging biomarkers are currently available to track therapeutic response. The purpose of this study was to examine whether advanced DWI techniques are able to sensitively detect the potential therapeutic effects of the antioxidant N-acetylcysteine (NAC) in a Disc1 svΔ2 preclinical rat model of psychiatric illness. METHODS Male and female Disc1 svΔ2 rats and age-matched, sex-matched Sprague-Dawley wild-type controls were treated with a saline vehicle or NAC before ex vivo MRI acquisition at P50. Imaging data were fit to DTI and neurite orientation dispersion and density imaging models and analyzed for region-specific changes in quantitative diffusion metrics. Brains were further processed for cellular quantification of microglial density and morphology. All experiments were repeated for Disc1 svΔ2 rats exposed to chronic early-life stress to test how gene-environment interactions might alter effectiveness of NAC therapy. RESULTS The DTI and neurite orientation dispersion and density imaging analyses demonstrated amelioration of early-life, sex-specific neural microstructural deficits with concomitant differences in microglial morphology across multiple brain regions relevant to neuropsychiatric illness with NAC treatment, but only in male Disc1 svΔ2 rats. Addition of chronic early-life stress reduced the ability of NAC to restore microstructural deficits. CONCLUSION These findings provide evidence for a treatment pathway targeting endogenous antioxidant capacity, and the clinical translational utility of neurite orientation dispersion and density imaging microstructural imaging to sensitively detect microstructural alterations resulting from antioxidant treatment.
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Affiliation(s)
- Sue Y. Yi
- Neuroscience Training Program, Wisconsin Institutes for Medical Research, University of Wisconsin–Madison, Madison, WI 53705, USA
| | - Brian R. Barnett
- Neuroscience Training Program, Wisconsin Institutes for Medical Research, University of Wisconsin–Madison, Madison, WI 53705, USA
| | - McKenzie J. Poetzel
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
| | - Nicholas A. Stowe
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
| | - John-Paul J. Yu
- Neuroscience Training Program, Wisconsin Institutes for Medical Research, University of Wisconsin–Madison, Madison, WI 53705, USA
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
- Department of Biomedical Engineering, University of Wisconsin–Madison, Madison, WI 53706, USA
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
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Zarbock KR, Han JH, Singh AP, Thomas SP, Bendlin BB, Denu JM, Yu JPJ, Rey FE, Ulland TK. Trimethylamine N-Oxide Reduces Neurite Density and Plaque Intensity in a Murine Model of Alzheimer's Disease. J Alzheimers Dis 2022; 90:585-597. [PMID: 36155509 PMCID: PMC9881463 DOI: 10.3233/jad-220413] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) is the most common aging-associated neurodegenerative disease; nevertheless, the etiology and progression of the disease is still incompletely understood. We have previously shown that the microbially-derived metabolite trimethylamine N-oxide (TMAO) is elevated in the cerebrospinal fluid (CSF) of individuals with cognitive impairment due to AD and positively correlates with increases in CSF biomarkers for tangle, plaque, and neuronal pathology. OBJECTIVE We assessed the direct impact of TMAO on AD progression. METHODS To do so, transgenic 5XFAD mice were supplemented with TMAO for 12 weeks. Neurite density was assessed through quantitative brain microstructure imaging with neurite orientation dispersion and density imaging magnetic resonance imaging (MRI). Label-free, quantitative proteomics was performed on cortex lysates from TMAO-treated and untreated animals. Amyloid-β plaques, astrocytes, and microglia were assessed by fluorescent immunohistochemistry and synaptic protein expression was quantified via western blot. RESULTS Oral TMAO administration resulted in significantly reduced neurite density in several regions of the brain. Amyloid-β plaque mean intensity was reduced, while plaque count and size remained unaltered. Proteomics analysis revealed that TMAO treatment impacted the expression of 30 proteins (1.5-fold cut-off) in 5XFAD mice, including proteins known to influence neuronal health and amyloid-β precursor protein processing. TMAO treatment did not alter astrocyte and microglial response nor cortical synaptic protein expression. CONCLUSION These data suggest that elevated plasma TMAO impacts AD pathology via reductions in neurite density.
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Affiliation(s)
- Katie R. Zarbock
- University of Wisconsin-Madison, Department of Bacteriology
- University of Wisconsin-Madison, Department of Pathology and Laboratory Medicine
| | - Jessica H. Han
- University of Wisconsin-Madison, Department of Bacteriology
- University of Wisconsin-Madison, Department of Biomolecular Chemistry
| | - Ajay P. Singh
- University of Wisconsin-Madison, Department of Radiology, Division of Neuroradiology
| | - Sydney P. Thomas
- University of Wisconsin-Madison, Department of Biomolecular Chemistry
| | - Barbara B. Bendlin
- University of Wisconsin-Madison, Department of Medicine, Division of Geriatrics and Gerontology
- Wisconsin Alzheimer’s Disease Research Center
| | - John M. Denu
- University of Wisconsin-Madison, Department of Biomolecular Chemistry
| | - John-Paul J. Yu
- University of Wisconsin-Madison, Department of Radiology, Division of Neuroradiology
| | | | - Tyler K. Ulland
- University of Wisconsin-Madison, Department of Pathology and Laboratory Medicine
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Stefely JA, Theisen E, Hanewall C, Scholl L, Burkard ME, Huttenlocher A, Yu JPJ. A physician-scientist preceptorship in clinical and translational research enhances training and mentorship. BMC Med Educ 2019; 19:89. [PMID: 30917818 PMCID: PMC6438136 DOI: 10.1186/s12909-019-1523-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 03/17/2019] [Indexed: 05/15/2023]
Abstract
BACKGROUND Dual degree program MD/PhD candidates typically train extensively in basic science research and in clinical medicine, but often receive little formal experience or mentorship in clinical and translational research. METHODS To address this educational and curricular gap, the University of Wisconsin Medical Scientist Training Program partnered with the University of Wisconsin Institute for Clinical and Translational Research to create a new physician-scientist preceptorship in clinical and translational research. This six-week apprentice-style learning experience-guided by a physician-scientist faculty mentor-integrates both clinical work and a translational research project, providing early exposure and hands-on experience with clinically oriented research and the integrated career of a physician-scientist. Five years following implementation, we retrospectively surveyed students and faculty members to determine the outcomes of this preceptorship. RESULTS Over five years, 38 students and 36 faculty members participated in the physician-scientist preceptorship. Based on student self-assessments (n = 29, response rate 76%), the course enhanced competency in conducting translational research and understanding regulation of clinical research among other skills. Mentor assessments (n = 17, response rate 47%) supported the value of the preceptorship in these same areas. Based on work during the preceptorship, half of the students produced a peer-reviewed publication or a meeting abstract. At least eleven peer-reviewed manuscripts were generated. The preceptorship also provided a structure for physician-scientist mentorship in the students' clinical specialty of choice. CONCLUSION The physician-scientist preceptorship provides a new curricular model to address the gap of clinical research training and provides for mentorship of physician-scientists during medical school. Future work will assess the long-term impact of this course on physician-scientist career trajectories.
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Affiliation(s)
- Jonathan A. Stefely
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - Erin Theisen
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - Chelsea Hanewall
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - Linda Scholl
- Institute for Clinical and Translational Research, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - Mark E. Burkard
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
- Department of Medicine, Hematology/Oncology, and the UW Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - Anna Huttenlocher
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
- Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - John-Paul J. Yu
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
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Yi SY, Barnett BR, Torres-Velázquez M, Zhang Y, Hurley SA, Rowley PA, Hernando D, Yu JPJ. Detecting Microglial Density With Quantitative Multi-Compartment Diffusion MRI. Front Neurosci 2019; 13:81. [PMID: 30837826 PMCID: PMC6389825 DOI: 10.3389/fnins.2019.00081] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 01/25/2019] [Indexed: 12/31/2022] Open
Abstract
Neuroinflammation plays a central role in the neuropathogenesis of a wide-spectrum of neurologic and psychiatric disease, but current neuroimaging methods to detect and characterize neuroinflammation are limited. We explored the sensitivity of quantitative multi-compartment diffusion MRI, and specifically neurite orientation dispersion and density imaging (NODDI), to detect changes in microglial density in the brain. Monte Carlo simulations of water diffusion using a NODDI acquisition scheme were performed to measure changes in a virtual MRI signal following modeled cellular changes within the extra-neurite space. 12-week-old C57BL/6J male mice (n = 48; 24 control, 24 treated with colony stimulating factor 1 receptor (CSF1R) inhibitor, PLX5622) were sacrificed at 0, 1, 3, and 7 days following withdrawal of CSF1R inhibition and were imaged ex-vivo to obtain measures of the orientation dispersion index (ODI). Following imaging, all brains were immunostained with Iba-1, NeuN, and GFAP for quantitative fluorescence microscopy. Cell populations were calculated with the ImageJ particle analyzer tool; correlation between microglial density and mean ODI values were calculated with Kendall's tau. Monte Carlo simulations demonstrate the sensitivity and positive correlation of ODI to increased occupancy in the extra-neurite space. Commensurate with our simulation data, ex-vivo NODDI imaging demonstrates an increase in ODI as microglia repopulate the brain following the withdrawal of CSF1R inhibition. Quantitative immunofluorescence of microglial density reveals that microglial density is positively correlated with ODI and greater hindered diffusion in the extra-neurite space (τ = 0.386, p < 0.05). Our results demonstrate that clinically feasible multi-compartment diffusion weighted imaging techniques such as NODDI are sensitive to microglial density and the cellular changes associated with microglial activation and highlights its potential to improve clinical diagnostic accuracy, patient risk stratification, and therapeutic monitoring of neuroinflammation in neurologic and psychiatric disease.
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Affiliation(s)
- Sue Y. Yi
- Neuroscience Training Program, Wisconsin Institutes for Medical Research, University of Wisconsin–Madison, Madison, WI, United States
| | - Brian R. Barnett
- Neuroscience Training Program, Wisconsin Institutes for Medical Research, University of Wisconsin–Madison, Madison, WI, United States
| | - Maribel Torres-Velázquez
- Department of Biomedical Engineering, College of Engineering, University of Wisconsin–Madison, Madison, WI, United States
| | - Yuxin Zhang
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Samuel A. Hurley
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Paul A. Rowley
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Diego Hernando
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - John-Paul J. Yu
- Neuroscience Training Program, Wisconsin Institutes for Medical Research, University of Wisconsin–Madison, Madison, WI, United States
- Department of Biomedical Engineering, College of Engineering, University of Wisconsin–Madison, Madison, WI, United States
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
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Feldman WB, Besterman AD, Yu JPJ, Devido JJ, Bourgeois JA. Persistent Perceptual Disturbances After Lithium Toxicity: A Case Report and Discussion. Psychosomatics 2015; 56:306-10. [DOI: 10.1016/j.psym.2014.08.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Revised: 08/09/2014] [Accepted: 08/11/2014] [Indexed: 10/24/2022]
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Abramson RG, Burton KR, Yu JPJ, Scalzetti EM, Yankeelov TE, Rosenkrantz AB, Mendiratta-Lala M, Bartholmai BJ, Ganeshan D, Lenchik L, Subramaniam RM. Methods and challenges in quantitative imaging biomarker development. Acad Radiol 2015; 22:25-32. [PMID: 25481515 PMCID: PMC4258641 DOI: 10.1016/j.acra.2014.09.001] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2014] [Revised: 09/03/2014] [Accepted: 09/03/2014] [Indexed: 12/18/2022]
Abstract
Academic radiology is poised to play an important role in the development and implementation of quantitative imaging (QI) tools. This article, drafted by the Association of University Radiologists Radiology Research Alliance Quantitative Imaging Task Force, reviews current issues in QI biomarker research. We discuss motivations for advancing QI, define key terms, present a framework for QI biomarker research, and outline challenges in QI biomarker development. We conclude by describing where QI research and development is currently taking place and discussing the paramount role of academic radiology in this rapidly evolving field.
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Affiliation(s)
- Richard G. Abramson
- Department of Radiology and Radiological Sciences Vanderbilt University 1161 21 Ave. S, CCC-1121 MCN Nashville, TN 37232-2675 (615)322-6759 Fax (615) 322-3764
| | - Kirsteen R. Burton
- Dept. of Medical Imaging and Institute of Health Policy, Management and Evaluation University of Toronto 263 McCaul Street, 4th Floor Toronto, ON M5T1W7 (416) 978-6801
| | - John-Paul J. Yu
- Department of Radiology and Biomedical Imaging University of California, San Francisco 505 Parnassus Ave., M-391 Box 0628 San Francisco, CA 94143-0628
| | - Ernest M. Scalzetti
- Department of Radiology SUNY Upstate Medical University 750 E. Adams St. Syracuse NY 13210
| | - Thomas E. Yankeelov
- Institute of Imaging Science Vanderbilt University 1161 21 Ave. S, AA-1105 MCN Nashville, TN 37232-2310
| | - Andrew B. Rosenkrantz
- Department of Radiology NYU Langone Medical Center 550 First Avenue New York, NY 10016 (212) 263-0232 fax: (212) 263-6634
| | - Mishal Mendiratta-Lala
- Abdominal and Cross-sectional Interventional Radiology Henry Ford Hospital 2799 West Grand Blvd. Detroit, MI 48202 (313) 461-1648
| | - Brian J. Bartholmai
- Chair, Division of Radiology Informatics Mayo Clinic Rochester, MN Phone 507-284-4292 FAX: 507-284-8996
| | - Dhakshinamoorthy Ganeshan
- Department of Abdominal Imaging University of Texas MD Anderson Cancer Center Houston, TX 77030 713-792-2486 Fax: 713-745-1151
| | - Leon Lenchik
- Department of Radiology Wake Forest School of Medicine Medical Center Boulevard Winston-Salem, NC 27157 Phone: 336-716-4316 Fax: 336-716-1278
| | - Rathan M. Subramaniam
- Russell H Morgan Department of Radiology and Radiological Sciences Johns Hopkins School of Medicine Department of Health Policy and Management Johns Hopkins Bloomberg School of Public Health Johns Hopkins University Baltimore, MD
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Yu JPJ, Kansagra AP, Thaker A, Colucci A, Sherry SJ, Subramaniam RM. Building for tomorrow today: opportunities and directions in radiology resident research. Acad Radiol 2015; 22:50-7. [PMID: 25442797 DOI: 10.1016/j.acra.2014.08.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2014] [Revised: 08/28/2014] [Accepted: 08/31/2014] [Indexed: 01/29/2023]
Abstract
RATIONALE AND OBJECTIVES With rapid scientific and technological advancements in radiological research, there is renewed emphasis on promoting early research training to develop researchers who are capable of tackling the hypothesis-driven research that is typically funded in contemporary academic research enterprises. This review article aims to introduce radiology residents to the abundant radiology research opportunities available to them and to encourage early research engagement among trainees. MATERIALS AND METHODS To encourage early resident participation in radiology research, we review the various research opportunities available to trainees spanning basic, clinical, and translational science opportunities to ongoing research in information technology, informatics, and quality improvement research. CONCLUSIONS There is an incredible breadth and depth of ongoing research at academic radiology departments across the country, and the material presented herein aspires to highlight both subject matter and opportunities available to radiology residents eager to engage in radiologic research. The opportunities for interested radiology residents are as numerous as they are broad, spanning the basic sciences to clinical research to informatics, with abundant opportunities to shape our future practice of radiology.
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Yu JPJ, Kansagra AP, Mongan J. The Radiologist's Workflow Environment: Evaluation of Disruptors and Potential Implications. J Am Coll Radiol 2014; 11:589-93. [DOI: 10.1016/j.jacr.2013.12.026] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2013] [Accepted: 12/26/2013] [Indexed: 11/29/2022]
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Yu JPJ, Kansagra AP, Naeger DM, Gould RG, Coakley FV. Template-driven computed tomography radiation dose reporting: implementation of a radiology housestaff quality improvement project. Acad Radiol 2013; 20:769-72. [PMID: 23664402 DOI: 10.1016/j.acra.2012.11.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2012] [Revised: 11/24/2012] [Accepted: 11/24/2012] [Indexed: 10/26/2022]
Abstract
RATIONALE AND OBJECTIVES Radiation exposure from medical imaging has received increasing attention in recent years. Ongoing calls to report radiation doses received during radiology studies as a means of recording cumulative exposure and identifying rare over-exposures have culminated in the State of California passing a mandatory reporting requirement effective July 1, 2012. Herein we describe a radiology housestaff-led quality improvement project to track radiation dose reporting a full year prior to state reporting mandates using a template-driven reporting system and our results over the first 12 months of its implementation. MATERIALS AND METHODS Effective July 2011, all radiology trainees were instructed to use a standard computed tomography (CT) report template that included a CT dose measurement derived from dose information routinely displayed on our picture archiving and communication system. Consecutive reports from July 1, 2011, to June 30, 2012, of patients who underwent CT examinations at our institution were then retrospectively reviewed. Compliance of each study with the reporting requirement was assessed based on the presence or absence of a radiation dose statement within the finalized report. RESULTS A total of 36,217 eligible consecutive CT reports were identified within the review period. Of these, 91.9% reported the radiation dose for the examination, greatly exceeding the initial goal of 80% compliance with the dose reporting requirement. CONCLUSION Successful reporting of CT radiation doses resulted from template-driven reporting, readily accessible calculation tools to facilitate dose calculation, and minimization of reporting burden on the radiologist a full year prior to state regulatory mandates.
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