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37 results on '"Holmes, Shannon"'

2. AAPM Medical Physics Practice Guideline 8.b: Linear accelerator performance tests

Author

Krauss, Robert F., primary, Balik, Salim, additional, Cirino, Eileen T., additional, Hadley, Austin, additional, Hariharan, Navneeth, additional, Holmes, Shannon M., additional, Kielar, Kayla, additional, Lavvafi, Hossein, additional, McCullough, Kiernan, additional, Palefsky, Steven, additional, Sawyer, J. Phillip, additional, Smith, Koren, additional, Tracy, Jason, additional, Winter, Jeff D., additional, and Wingreen, Nicholai E., additional

Published
2023
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4. Erratum: “Report of AAPM Task Group 219 on independent calculation‐based dose/MU verification for IMRT”

Author

Zhu, Timothy C., primary, Stathakis, Sotiris, additional, Clark, Jennifer R., additional, Feng, Wenzheng, additional, Georg, Dietmar, additional, Holmes, Shannon M., additional, Kry, Stephen F., additional, Charlie Ma, Chang‐Ming, additional, Miften, Moyed, additional, Mihailidis, Dimitris, additional, Moran, Jean M., additional, Papanikolaou, Niko, additional, Poppe, Bjorn, additional, and Xiao, Ying, additional

Published
2022
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5. Report of AAPM Task Group 219 on independent calculation‐based dose/MU verification for IMRT

Author

Zhu, Timothy C., primary, Stathakis, Sotiris, additional, Clark, Jennifer R., additional, Feng, Wenzheng, additional, Georg, Dietmar, additional, Holmes, Shannon M., additional, Kry, Stephen F., additional, Ma, Chang‐Ming Charlie, additional, Miften, Moyed, additional, Mihailidis, Dimitris, additional, Moran, Jean M., additional, Papanikolaou, Niko, additional, Poppe, Bjorn, additional, and Xiao, Ying, additional

Published
2021
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11. Evaluation of magnetic resonance imaging for the differentiation of inflammatory, neoplastic, and vascular intradural spinal cord diseases in the dog

Author

Masciarelli, Amanda E., primary, Griffin, John F., additional, Fosgate, Geoffrey T., additional, Hecht, Silke, additional, Mankin, Joseph M., additional, Holmes, Shannon P., additional, Platt, Simon R., additional, Kent, Marc, additional, Pancotto, Theresa E., additional, Chen, Annie V., additional, and Levine, Jonathan M., additional

Published
2017
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19. EVALUATION OF STANDARD MAGNETIC RESONANCE CHARACTERISTICS USED TO DIFFERENTIATE NEOPLASTIC, INFLAMMATORY, AND VASCULAR BRAIN LESIONS IN DOGS

Author

Young, Benjamin D., primary, Fosgate, Geoffrey T., additional, Holmes, Shannon P., additional, Wolff, Collin A., additional, Chen-Allen, Annie V., additional, Kent, Marc, additional, Platt, Simon R., additional, Savage, Mason Y., additional, Schatzberg, Scott J., additional, and Levine, Jonathan M., additional

Published
2014
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29. Thorax

Author

Gavin, Patrick R., primary and Holmes, Shannon P., additional

Published
2009
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37. T1ρ, T2 mapping, and EPIC-µCT Imaging in a Canine Model of Knee Osteochondral Injury.

Author

Franklin SP, Stoker AM, Lin ASP, Pownder SL, Burke EE, Bozynski CC, Kuroki K, Guldberg RE, Cook JL, and Holmes SP

Subjects
Animals, Cartilage, Articular metabolism, Collagen metabolism, Disease Models, Animal, Dogs, Female, Knee Injuries metabolism, Magnetic Resonance Imaging, Male, Proteoglycans metabolism, X-Ray Microtomography, Cartilage, Articular diagnostic imaging, Knee Injuries diagnostic imaging
Abstract

The dog is the most commonly used large animal model for the study of osteoarthritis. Optimizing methods for assessing cartilage health would prove useful in reducing the number of dogs needed for a valid study of osteoarthritis and cartilage repair. Twelve beagles had critical-sized osteochondral defects created in the medial femoral condyle of both knees. Eight dogs had T1ρ and T2 magnetic resonance imaging (MRI) performed approximately 6 months after defect creation. Following MRI evaluations, all 12 dogs were humanely euthanatized and cartilage samples were obtained from the medial and lateral femoral condyles, medial and lateral tibial plateaus, trochlear groove, and patella for proteoglycan and collagen quantification. Equilibrium partitioning of an ionic contrast (EPIC)-µCT was then performed followed by the histologic assessment of the knees. Correlations between T1ρ, T2, EPIC-µCT and proteoglycan, collagen, and histology scores were assessed using a multivariate analysis accounting for correlations from samples within the same knee and in the same dog. Pearson's correlation coefficients were calculated to assess the strength of significant relationships. Correlations between µCT values and biochemical or histologic assessment were weak to moderately strong (0.09-0.41; p < 0.0001-0.66). There was a weak correlation between the T2 values and cartilage proteoglycan (-0.32; p = 0.04). The correlation between T1ρ values and cartilage proteoglycan were moderately strong (-0.38; p < 0.05) while the strongest correlation was between the T1ρ values and histological assessment of cartilage with a correlation coefficient of 0.58 (p < 0.0001). These data suggest that T1ρ shows promise for possible utility in the translational study of cartilage health and warrants further development in this species. © 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 38:368-377, 2020., (© 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.)

Published
2020
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