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2. Seizures

Author

Kelly, Kevin M., primary, Quezada, Timothy A., additional, and Campbell, Thomas P., additional

Published
2023
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4. Dizziness

Author

Kelly, Kevin M., primary, Lima, Arthur Alcantara, additional, and Campbell, Thomas P., additional

Published
2023
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10. STRONG STAR and the Consortium to Alleviate PTSD: Shaping the future of combat PTSD and related conditions in military and veteran populations

Author

Peterson, Alan L., Young-McCaughan, Stacey, Roache, John D., Mintz, Jim, Litz, Brett T., Williamson, Douglas E., Resick, Patricia A., Foa, Edna B., McGeary, Donald D., Dondanville, Katherine A., Taylor, Daniel J., Wachen, Jennifer Schuster, Fox, Peter T., Bryan, Craig J., McLean, Carmen P., Pruiksma, Kristi E., Yarvis, Jeffrey S., Niles, Barbara L., Abdallah, Chadi G., Averill, Lynnette A., Back, Sudie E., Baker, Monty T., Blount, Tabatha H., Borah, Adam M., Borah, Elisa V., Brock, Matthew S., Brown, Lily A., Burg, Matthew M., Cigrang, Jeffrey A., DeBeer, Bryann B., DeVoe, Ellen R., Fina, Brooke A., Flanagan, Julianne C., Fredman, Steffany J., Gardner, Cubby L., Gatchel, Robert R., Goodie, Jeffrey L., Gueorguieva, Ralitza, Higgs, Jay B., Jacoby, Vanessa M., Kelly, Kevin M., Krystal, John H., Lapiz-Bluhm, M. Danet, López-Roca, Argelio L., Marx, Brian P., Maurer, Douglas M., McDevitt-Murphy, Meghan E., McGeary, Cindy A., Meyer, Eric C., Miles, Shannon R., Monson, Candice M., Morilak, David A., Moring, John C., Mysliwiec, Vincent, Nicholson, Karin L., Rauch, Sheila A.M., Riggs, David S., Rosen, Craig S., Rudd, M. David, Schobitz, Richard P., Schrader, Christian C., Shinn, Antoinette M., Shiroma, Paulo R., Sloan, Denise M., Stern, Stephen L., Strong, Randy, Vannoy, Steven D., Young, Keith A., and Keane, Terence M.

Published
2021
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12. Identifying suicidal subtypes and dynamic indicators of increasing and decreasing suicide risk in active duty military personnel: Study protocol

Author

Brown, Lily A., Bryan, Craig J., Butner, Jonathan E., Tabares, Jeffrey V., Young-McCaughan, Stacey, Hale, Willie J., Fina, Brooke A., Foa, Edna B., Resick, Patricia A., Taylor, Daniel J., Coon, Hillary, Williamson, Douglas E., Dondanville, Katherine A., Borah, Elisa V., McLean, Carmen P., Wachen, Jennifer Schuster, Pruiksma, Kristi E., Hernandez, Ann Marie, Litz, Brett T., Mintz, Jim, Yarvis, Jeffrey S., Borah, Adam M., Nicholson, Karin L., Maurer, Douglas M., Kelly, Kevin M., and Peterson, Alan L.

Published
2021
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13. Editor’s Highlight: Congener-Specific Disposition of Chiral Polychlorinated Biphenyls in Lactating Mice and Their Offspring: Implications for PCB Developmental Neurotoxicity

Author

Kania-Korwel, Izabela, Lukasiewicz, Tracy, Barnhart, Christopher D, Stamou, Marianna, Chung, Haeun, Kelly, Kevin M, Bandiera, Stelvio, Lein, Pamela J, and Lehmler, Hans-Joachim

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Endocrine Disruptors, Pediatric, Neurosciences, Animals, Chromatography, Gas, Female, Lactation, Mice, Mice, Inbred C57BL, Nervous System, Polychlorinated Biphenyls, Stereoisomerism, Teratogens, atropisomer, chiral, cytochrome P450 enzymes, metabolites, persistent organic pollutants, polychlorinated biphenyls, plasticity, Toxicology, Pharmacology and pharmaceutical sciences
Abstract

Chiral polychlorinated biphenyl (PCB) congeners have been implicated by laboratory and epidemiological studies in PCB developmental neurotoxicity. These congeners are metabolized by cytochrome P450 (P450) enzymes to potentially neurotoxic hydroxylated metabolites (OH-PCBs). The present study explores the enantioselective disposition and toxicity of 2 environmentally relevant, neurotoxic PCB congeners and their OH-PCB metabolites in lactating mice and their offspring following dietary exposure of the dam. Female C57BL/6N mice (8-weeks old) were fed daily, beginning 2 weeks prior to conception and continuing throughout gestation and lactation, with 3.1 µmol/kg bw/d of racemic 2,2',3,5',6-pentachlorobiphenyl (PCB 95) or 2,2',3,3',6,6'-hexachlorobiphenyl (PCB 136) in peanut butter; controls received vehicle (peanut oil) in peanut butter. PCB 95 levels were higher than PCB 136 levels in both dams and pups, consistent with the more rapid metabolism of PCB 136 compared with PCB 95. In pups and dams, both congeners were enriched for the enantiomer eluting second on enantioselective gas chromatography columns. OH-PCB profiles in lactating mice and their offspring were complex and varied according to congener, tissue and age. Developmental exposure to PCB 95 versus PCB 136 differentially affected the expression of P450 enzymes as well as neural plasticity (arc and ppp1r9b) and thyroid hormone-responsive genes (nrgn and mbp). The results suggest that the enantioselective metabolism of PCBs to OH-PCBs may influence neurotoxic outcomes following developmental exposures, a hypothesis that warrants further investigation.

Published
2017

14. Research Methodologies for Total Worker Health ® : Proceedings From a Workshop

Author

Tamers, Sara L., Goetzel, Ron, Kelly, Kevin M., Luckhaupt, Sara, Nigam, Jeannie, Pronk, Nicolaas P., Rohlman, Diane S., Baron, Sherry, Brosseau, Lisa M., Bushnell, Tim, Campo, Shelly, Chang, Chia-Chia, Childress, Adele, Chosewood, L. Casey, Cunningham, Thomas, Goldenhar, Linda M., Huang, Terry T.-K., Hudson, Heidi, Linnan, Laura, Newman, Lee S., Olson, Ryan, Ozminkowski, Ronald J., Punnett, Laura, Schill, Anita, Scholl, Juliann, and Sorensen, Glorian

Published
2018

17. Contributors

Author

Arzi, Boaz, primary, Bar-Am, Yoav, additional, Bewley, Arnaud, additional, Bezuidenhout, Abraham J., additional, Bonello, Dea, additional, Boudrieau, Randy J., additional, Campbell, Bonnie G., additional, Chamberlain, Thomas P., additional, Cissell, Derek D., additional, Eisner, Edward R., additional, Emily, Peter P., additional, Fiani, Nadine, additional, Gieger, Tracy, additional, Gorrel, Cecilia E., additional, Gracis, Margherita, additional, Hale, Fraser A., additional, Härle, Franz, additional, Hatcher, David, additional, Hennet, Philippe, additional, Holmstrom, Steven E., additional, Kan-Rohrer, Kimi H., additional, Kelly, Kevin M., additional, Köstlin, Roberto, additional, Lane, J. Geoffrey, additional, Lantz, Gary C., additional, Le, Anh D., additional, Legendre, Loïc F.J., additional, Lommer, Milinda J., additional, Marks, Stanley L., additional, Marretta, Sandra Manfra, additional, Mathews, Kyle G., additional, Matis, Ulrike, additional, McEntee, Margaret C., additional, Nemec, Ana, additional, Pascoe, Peter J., additional, Peavy, George M., additional, Peeters, Marijke E., additional, Peralta, Santiago, additional, Pogrel, M. Anthony, additional, Regezi, Joseph A., additional, Roy, Celeste G., additional, Sarkiala, Eva M., additional, Séguin, Bernard, additional, Shetty, Vivek, additional, Smeak, Daniel D., additional, Smith, Mark M., additional, Snyder, Christopher J., additional, Staley, Barry B., additional, Stanley, Bryden J., additional, Stepaniuk, Kevin, additional, Swaim, Steven F., additional, Terpak, Cheryl H., additional, Tsugawa, Anson J., additional, Verstraete, Frank J.M., additional, and Wilder-Smith, Petra E., additional

Published
2020
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20. The GGXF standard file format for gridded geodetic data

Author

Crook, Chris, Kelly, Kevin M, Lott, Roger, and Stanaway, Richard

Abstract

Monitoring the Earth is undertaken in numerous geometric and physical reference frames and coordinate reference systems. Analysis often requires transformation of coordinates between these frames. As the accuracy of positioning and geospatial data improves, the use of gridded data to describe the quantities used in these coordinate transformations is increasing. Rectangular grids also provide an efficient means of disseminating geodetic data. IAG Commission 1 Working Group 1.3.1 in association with the Open Geospatial Consortium (OGC) have developed a Geodetic data Grid eXchange Format (GGXF) for quantifying and disseminating gridded geodetic data. GGXF was developed in conjunction with a functional model for deformation (DMFM) including support for time-dependent changes, but has been designed to support any type of regularly-gridded geodetic data including but not limited to geoid models, offsets between reference frames (of one, two or three dimensions), velocity grids, tidal surfaces, etc. The purpose of GGXF is to provide a comprehensive, efficient distribution format through which producers can disseminate gridded geodetic data and users can exchange and apply this information. This presentation gives an overview of the GGXF format and describes how it can be applied in geodetic practice., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Published
2023

21. Asthma and Farm Exposures in a Cohort of Rural Iowa Children

Author

Merchant, James A., Naleway, Allison L., Svendsen, Erik R., Kelly, Kevin M., Burmeister, Leon F., Stromquist, Ann M., Taylor, Craig D., Thorne, Peter S., Reynolds, Stephen J., Sanderson, Wayne T., and Chrischilles, Elizabeth A.

Published
2005

22. Breast cancer detection: radiologists' performance using mammography with and without automated whole-breast ultrasound.

Author

Kelly, Kevin M, Dean, Judy, Lee, Sung-Jae, and Comulada, W Scott

Subjects
Humans, Breast Neoplasms, Image Interpretation, Computer-Assisted, Observer Variation, Mammography, Ultrasonography, Mammary, Area Under Curve, Sensitivity and Specificity, ROC Curve, Adult, Aged, Aged, 80 and over, Middle Aged, Female, Multi-reader multi-case (MRMC) study, Diagnostic accuracy, JAFROC analysis, Breast screening, Breast ultrasound, Image Interpretation, Computer-Assisted, Ultrasonography, Mammary, and over, Biomedical Imaging, Clinical Research, Cancer, Breast Cancer, Prevention, 4.2 Evaluation of markers and technologies, Diagnostic Radiology, Nuclear Medicine & Medical Imaging, Clinical Sciences
Abstract

ObjectiveRadiologist reader performance for breast cancer detection using mammography plus automated whole-breast ultrasound (AWBU) was compared with mammography alone.MethodsScreenings for non-palpable breast malignancies in women with radiographically dense breasts with contemporaneous mammograms and AWBU were reviewed by 12 radiologists blinded to the diagnoses; half the studies were abnormal. Readers first reviewed the 102 mammograms. The American College of Radiology (ACR) Breast Imaging Reporting and Data System (BIRADS) and Digital Mammographic Imaging Screening Trial (DMIST) likelihood ratings were recorded with location information for identified abnormalities. Readers then reviewed the mammograms and AWBU with knowledge of previous mammogram-only evaluation. We compared reader performance across screening techniques using absolute callback, areas under the curve (AUC), and figure of merit (FOM).ResultsTrue positivity of cancer detection increased 63%, with only a 4% decrease in true negativity. Reader-averaged AUC was higher for mammography plus AWBU compared with mammography alone by BIRADS (0.808 versus 0.701) and likelihood scores (0.810 versus 0.703). Similarly, FOM was higher for mammography plus AWBU compared with mammography alone by BIRADS (0.786 versus 0.613) and likelihood scores (0.791 versus 0.614).ConclusionAdding AWBU to mammography improved callback rates, accuracy of breast cancer detection, and confidence in callbacks for dense-breasted women.

Published
2010

23. Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts.

Author

Kelly, Kevin M, Dean, Judy, Comulada, W Scott, and Lee, Sung-Jae

Subjects
Humans, Breast Neoplasms, Image Interpretation, Computer-Assisted, Image Enhancement, Radiography, Ultrasonography, Mammary, Sensitivity and Specificity, Reproducibility of Results, Algorithms, Middle Aged, Female, Mammography, Ultrasound, Breast cancer, Screening, Automated, Image Interpretation, Computer-Assisted, Ultrasonography, Mammary, Breast Cancer, Cancer, Clinical Trials and Supportive Activities, Prevention, Biomedical Imaging, Clinical Research, Diagnostic Radiology, Nuclear Medicine & Medical Imaging, Clinical Sciences
Abstract

PurposeMammography, the standard method of breast cancer screening, misses many cancers, especially in dense-breasted women. We compared the performance and diagnostic yield of mammography alone versus an automated whole breast ultrasound (AWBU) plus mammography in women with dense breasts and/or at elevated risk of breast cancer.MethodsAWBU screening was tested in 4,419 women having routine mammography (Trial registrationClinicalTrials.gov Identifier: NCT00649337). Cancers occurring during the study and subsequent 1-year follow-up were evaluated. Sensitivity, specificity and positive predictive value (PPV) of biopsy recommendation for mammography alone, AWBU and mammography with AWBU were calculated.ResultsBreast cancer detection doubled from 23 to 46 in 6,425 studies using AWBU with mammography, resulting in an increase in diagnostic yield from 3.6 per 1,000 with mammography alone to 7.2 per 1,000 by adding AWBU. PPV for biopsy based on mammography findings was 39.0% and for AWBU 38.4%. The number of detected invasive cancers 10 mm or less in size tripled from 7 to 21 when AWBU findings were added to mammography.ConclusionAWBU resulted in significant cancer detection improvement compared with mammography alone. Additional detection and the smaller size of invasive cancers may justify this technology's expense for women with dense breasts and/or at high risk for breast cancer.

Published
2010

28. A functional model for quantifying deformation in reference frame transformations

Author

Stanaway, Richard, Crook, Chris, Kelly, Kevin M., and Lott, Roger

Abstract

IAG Commission 1 Working Group 1.3.1 in association with the Open Geospatial Consortium (OGC) have developed a deformation model functional model (DMFM) and an associated Geodetic Grid Exchange Format (GGXF) for quantifying and disseminating deformation information for use in time-dependent reference frame transformations.The purpose of the DMFM is to provide a framework through which producers and users of deformation models can describe crustal displacement and velocity data using robust grid formats such as GGXF. Using the DMFM and GGXF combined, positional displacements can be readily applied in point motion coordinate operations. This approach is essential in deforming zones where conformal time-dependent transformation approaches do not adequately handle crustal deformation. The presentation describes how the DMFM can be applied in typical use cases. These include: transforming GNSS PPP positions (e.g. in an IGS20 frame) to a national geodetic datum in a deforming zone and transformations between reference frames across earthquake events resulting in significant coseismic and postseismic crustal displacement. The DMFM and associated GGXF provide a framework for developers of geodetic software such as those used in GIS, GNSS processing and positioning to better handle complex deformation., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Published
2023

31. Research Methodologies for Total Worker Health®: Proceedings From a Workshop

Author

Tamers, Sara L., Goetzel, Ron, Kelly, Kevin M., Luckhaupt, Sara, Nigam, Jeannie, Pronk, Nicolaas P., Rohlman, Diane S., Baron, Sherry, Brosseau, Lisa M., Bushnell, Tim, Campo, Shelly, Chang, Chia-Chia, Childress, Adele, Chosewood, L. Casey, Cunningham, Thomas, Goldenhar, Linda M., Huang, Terry T.-K., Hudson, Heidi, Linnan, Laura, Newman, Lee S., Olson, Ryan, Ozminkowski, Ronald J., Punnett, Laura, Schill, Anita, Scholl, Juliann, and Sorensen, Glorian

Published
2018
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34. Oculomotor, vestibular, reaction time, and cognitive tests as objective measures of neural deficits in patients post COVID-19 infection

Author

Kelly, Kevin M., primary, Anghinah, R., additional, Kullmann, A., additional, Ashmore, R. C., additional, Synowiec, A. S., additional, Gibson, L. C., additional, Manfrinati, L., additional, Araújo, A. de, additional, Spera, R. R., additional, Brucki, S. M. D., additional, Tuma, R. L., additional, Braverman, A., additional, and Kiderman, A., additional

Published
2022
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37. Contributors

Author

Aiba, Isamu, primary, Andrade, Pedro, additional, Angamo, Eskedar A., additional, Aronica, Eleonora, additional, Auvin, Stéphane, additional, Baines, Richard A., additional, Balosso, Silvia, additional, Barker-Haliski, Melissa, additional, Bartolomei, Fabrice, additional, Bastar, Jeffrey, additional, Battaglia, Giorgio, additional, Benke, Tim, additional, Berdichevsky, Yevgeny, additional, Bernard, Christophe, additional, Bertoglio, Daniele, additional, Bertram, Edward H., additional, Buchanan, Gordon, additional, Buckmaster, Paul S., additional, Calas, Guilhem, additional, Carlen, Peter L., additional, Carmant, Lionel, additional, Cepeda, Carlos, additional, Cho, Frances S., additional, Clemente, Alexandra, additional, Cloyd, James C., additional, Colciaghi, Francesca, additional, Coles, Lisa D., additional, Conti, Valerio, additional, Copmans, Daniëlle, additional, Coulter, Douglas A., additional, Dal Bo, Gregory, additional, Dang, Louis T., additional, de Curtis, Marco, additional, de Witte, Peter A.M., additional, Dedeurwaerdere, Stefanie, additional, Deleye, Steven, additional, Dengler, Nora, additional, Depaulis, Antoine, additional, Deransart, Colin, additional, Dorandeu, Frederic, additional, Dudek, F. Edward, additional, Dulla, Chris G., additional, Dzhala, Volodya, additional, Ekstrand, Jeffrey, additional, Estrada-Sánchez, Ana M., additional, Eubanks, James H., additional, Faingold, Carl, additional, Fares, Raafat, additional, Ferland, R.J., additional, Ferraro, T.N., additional, Finardi, Adele, additional, Friedman, Alon, additional, Gabriel, Siegrun, additional, Galanopoulou, Aristea S., additional, Giachello, Carlo N.G., additional, Glykys, Joseph, additional, Gnatkovsky, Vadym, additional, Goldman, Alica M., additional, Goodman, Jeffrey, additional, Gorter, Jan A., additional, Gröhn, Olli, additional, Guerrini, Renzo, additional, Guillemain, Isabelle, additional, Halasz, Peter, additional, Heinemann, Uwe, additional, Henshall, David C., additional, Holden, Stephanie, additional, Holmes, Gregory L., additional, Hovens, Chris, additional, Ivanov, Anton I., additional, Jansen, Laura A., additional, Jarre, Guillaume, additional, Jarvis, Paul R., additional, Jefferys, John G.R., additional, Jensen, Frances E., additional, Jeong, Anna, additional, Jin, Xiaoming, additional, Jin, Yishi, additional, Köhling, Rüdiger, additional, Kadam, Shilpa D., additional, Kaufer, Daniela, additional, Kelly, Kevin M., additional, Kelly, Mary E., additional, Klang, Andrea, additional, Klitgaard, Henrik, additional, Kneissl, Sibylle, additional, Kostopoulos, George K., additional, Kotloski, Robert J., additional, Kuker, Marie, additional, Kyyriäinen, Jenni, additional, Löscher, Wolfgang, additional, Lau, Lauren A., additional, Lehmann, Thomas-Nicolas, additional, Leppik, Ilo E., additional, Levine, Michael S., additional, Librizzi, Laura, additional, Lillis, Kyle, additional, Lin, Dean D., additional, Lin, Wei-Hsiang, additional, Mühlebner, Angelika, additional, Marchi, Nicola, additional, Mazarati, Andrey M., additional, Milikovsky, Dan Z., additional, Modolo, Julien, additional, Moshé, Solomon L., additional, N’Gouemo, Prosper, additional, Ndode-Ekane, Xavier Ekolle, additional, Nehlig, Astrid, additional, Newton, Jamila, additional, Nobili, Paola, additional, Noebels, Jeffrey L., additional, O’Brien, Terence J., additional, O’Leary, Heather, additional, Pakozdy, Akos, additional, Parent, Jack M., additional, Pasanen, Lotta, additional, Patel, Dipan C., additional, Patterson, Edward N., additional, Paz, Jeanne T., additional, Petrou, Steve, additional, Ping, Xingjie, additional, Pitkänen, Asla, additional, Potschka, Heidrun, additional, Raikov, Ivan, additional, Ravizza, Teresa, additional, Reddy, Doodipala S., additional, Richards, Kay L., additional, Roper, Steven N., additional, Salar, Seda, additional, Salinas, Felipe S., additional, Sanon, Nathalie T., additional, Shakarjian, Michael P., additional, Shaker, Tarek, additional, Shultz, Sandy, additional, Siekierska, Aleksandra, additional, Soltesz, Ivan, additional, Spampanato, Jay G., additional, Staley, Kevin J., additional, Stewart, Mark, additional, Sun, Hongyu, additional, Sutula, Thomas P., additional, Szabó, Charles Á., additional, Takayanagi-Kiya, Seika, additional, Tanila, Heikki, additional, Tannenbaum, Jerrold, additional, Tupal, Srinivasan, additional, Uva, Laura, additional, van Vliet, Erwin A., additional, Velíšek, Libor, additional, Velíšková, Jana, additional, Walker, Matthew C., additional, Wendling, Fabrice, additional, White, H. Steve, additional, Wilcox, Karen S., additional, Wong, Michael, additional, Wykes, Robert C., additional, Zayachkivsky, Andrew, additional, Zhang, Liang, additional, and Zheng, Ping, additional

Published
2017
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50. Prevalence of Fibromyalgia Syndrome in Active‐DutyMilitary Personnel

Author

Lawrence‐Wolff, Katrina M., Higgs, Jay B., Young‐McCaughan, Stacey, Mintz, Jim, Foa, Edna B., Resick, Patricia A., Kelly, Kevin M., Maurer, Douglas M., Borah, Adam M., Yarvis, Jeffrey S., Litz, Brett T., Hildebrand, Bernard A., Williamson, Douglas E., and Peterson, Alan L.

Abstract

Previous research with civilian populations has found strong associations between fibromyalgia (FM) and posttraumatic stress disorder (PTSD). We undertook this study to investigate the prevalence of FM in military service members with and without PTSD. Participants were active duty military personnel recruited into either an epidemiologic cohort study of service members before a military deployment or 1 of 3 PTSD treatment trials. Instruments used to document FM and PTSD included the PTSD Checklist–Stressor‐Specific Version, the PTSD Symptom Scale‐Interview, and the 2012 American College of Rheumatology FM questionnaire. Across the 4 studies, 4,376 subjects completed surveys. The prevalence of FM was 2.9% in the predeployment cohort, and the prevalence was significantly higher in individuals with PTSD (10.8%) compared with those without PTSD (0.8%). In the treatment trials, all of the participants met criteria for PTSD before starting treatment, and the prevalence of FM was 39.7%. The prevalence of FM in active duty service members preparing to deploy is similar to that reported for the general population of the US but is higher than expected for a predominantly male cohort. Furthermore, the prevalence of FM was significantly higher in service members with comorbid PTSD and was highest among those seeking treatment for PTSD. Further investigation is needed to determine the factors linking PTSD and FM.

Published
2023
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