Particle Therapy for Cancer Treatment

Displaying 1 - 21 of 21CSV
Valencia Lozano, I., Buss, E., Spina, C. S., Horowitz, D. P., Kachnic, L. A., Price, M., Wang, Y., & Munbodh, R. (2025). Quantification and dosimetric impact of intra‐fractional bladder changes during CBCT‐guided online adaptive radiotherapy for pelvic cancer treatments. Journal of Applied Clinical Medical Physics. Portico. https://doi.org/10.1002/acm2.70074
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Smith, T. L., Ryan, T. L., Escalona, M. B., Shuryak, I. E., & Balajee, A. S. (2024). Application of FISH based G2-PCC assay for the cytogenetic assessment of high radiation dose exposures: Potential implications for rapid triage biodosimetry. PLOS ONE, 19(10), e0312564. https://doi.org/10.1371/journal.pone.0312564
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Nemzow, L., Phillippi, M. A., Kanagaraj, K., Shuryak, I., Taveras, M., Wu, X., & Turner, H. C. (2024). Validation of a blood biomarker panel for machine learning-based radiation biodosimetry in juvenile and adult C57BL/6 mice. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-74953-w
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Lee, A., Pasetsky, J., Lavrova, E., Wang, Y.-F., Sedor, G., Li, F. L., Gallitto, M., Garrett, M., Elliston, C., Price, M., Kachnic, L. A., & Horowitz, D. P. (2024). CT-guided online adaptive stereotactic body radiotherapy for pancreas ductal adenocarcinoma: Dosimetric and initial clinical experience. Clinical and Translational Radiation Oncology, 48, 100813. https://doi.org/10.1016/j.ctro.2024.100813
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Kanagaraj, K., Phillippi, M. A., Ober, E. H., Shuryak, I., Kleiman, N. J., Olson, J., Schaaf, G., Cline, J. M., & Turner, H. C. (2024). BAX and DDB2 as biomarkers for acute radiation exposure in the human blood ex vivo and non-human primate models. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-69852-z
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Wang, E., Shuryak, I., & Brenner, D. J. (2024). A competing risks machine learning study of neutron dose, fractionation, age, and sex effects on mortality in 21,000 mice. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-68717-9
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Carswell, L., Sridharan, D. M., Chien, L.-C., Hirose, W., Giroux, V., Nakagawa, H., & Pluth, J. M. (2024). Modeling Radiation-Induced Epithelial Cell Injury in Murine Three-Dimensional Esophageal Organoids. Biomolecules, 14(5), 519. https://doi.org/10.3390/biom14050519
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Wang, E., Shuryak, I., & Brenner, D. J. (2023). Quantifying the effects of neutron dose, dose protraction, age and sex on mouse survival using parametric regression and machine learning on a 21,000-mouse data set. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-49262-3
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Ghandhi, S. A., Morton, S. R., Shuryak, I., Lee, Y., Soni, R. K., Perrier, J. R., Bakke, J., Gahagan, J., Bujold, K., Authier, S., Amundson, S. A., Brenner, D. J., Nishita, D., Chang, P., & Turner, H. C. (2023). Longitudinal multi-omic changes in the transcriptome and proteome of peripheral blood cells after a 4 Gy total body radiation dose to Rhesus macaques. BMC Genomics, 24(1). https://doi.org/10.1186/s12864-023-09230-7
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Shuryak, I., Nemzow, L., Bacon, B. A., Taveras, M., Wu, X., Deoli, N., Ponnaiya, B., Garty, G., Brenner, D. J., & Turner, H. C. (2023). Machine learning approach for quantitative biodosimetry of partial-body or total-body radiation exposures by combining radiation-responsive biomarkers. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-28130-0
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Shuryak, I., Ghandhi, S. A., Laiakis, E. C., Garty, G., Wu, X., Ponnaiya, B., Kosowski, E., Pannkuk, E., Kaur, S. P., Harken, A. D., Deoli, N., Fornace, A. J., Brenner, D. J., & Amundson, S. A. (2023). Biomarker integration for improved biodosimetry of mixed neutron + photon exposures. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-37906-3
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Rayn, K., Clark, R., Magliari, A., Jeffers, B., Lavrova, E., Lozano, I. V., Price, M. J., Rosa, L., & Horowitz, D. P. (2023). Scorecards: Quantifying Dosimetric Plan Quality in Pancreatic Ductal Adenocarcinoma Stereotactic Body Radiation Therapy. Advances in Radiation Oncology, 8(6), 101295. https://doi.org/10.1016/j.adro.2023.101295
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Li, F., & Price, M. (2023). Commissioning of Mobius3D/FX for patient‐specific quality assurance: The CUIMC—NewYork Presbyterian Hospital experience. Journal of Applied Clinical Medical Physics, 25(2). Portico. https://doi.org/10.1002/acm2.14183
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Elliston, C., Rahman, M., Sloop, A., Wang, Y. F., Xu, Y., Zhang, R., Adamovics, J. A., & Wuu, C. S. (2023). 3D Dosimetry for Electron Flash Radiotherapy: Assessment of Radiochromic Dosimeter Phantoms with Optical CT Scanning as a 3D Dosimetry System. International Journal of Radiation Oncology*Biology*Physics, 117(2), S142. https://doi.org/10.1016/j.ijrobp.2023.06.553
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Nemzow, L., Boehringer, T., Bacon, B., & Turner, H. C. (2023). Development of a human peripheral blood ex vivo model for rapid protein biomarker detection and applications to radiation biodosimetry. PLOS ONE, 18(8), e0289634. https://doi.org/10.1371/journal.pone.0289634
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Columbia Affiliation
Abend, M., Amundson, S. A., Badie, C., Brzoska, K., Kriehuber, R., Lacombe, J., Lopez-Riego, M., Lumniczky, K., Endesfelder, D., O’Brien, G., Doucha-Senf, S., Ghandhi, S. A., Hargitai, R., Kis, E., Lundholm, L., Oskamp, D., Ostheim, P., Schüle, S., Schwanke, D., … Port, M. (2023). RENEB Inter-Laboratory Comparison 2021: The Gene Expression Assay. Radiation Research, 199(6). https://doi.org/10.1667/rade-22-00206.1
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Columbia Affiliation
Yu, J. B., Kinslow, C. J., Cheng, S. K., Ellis, R. J., & Horowitz, D. P. (2023). National Patterns of Early Adoption of Magnetic Resonance Imaging–Guided Linear Accelerators in 2018 to 2019. Advances in Radiation Oncology, 8(3), 101167. https://doi.org/10.1016/j.adro.2022.101167
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Shuryak, I., Slaba, T. C., Plante, I., Poignant, F., Blattnig, S. R., & Brenner, D. J. (2022). A practical approach for continuous in situ characterization of radiation quality factors in space. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-04937-1
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Genecin, I., Fullwood, D., Moisander-Joyce, H., Padilla, O., Minns, H., Garvin, J., Szalontay, L., Wu, C.-C., Kahn, J., & Gartrell, R. D. (2022). EPID-07. Outcome disparities in children, adolescents and young adults with medulloblastoma: A population-based analysis. Neuro-Oncology, 24(Supplement_1), i48–i48. https://doi.org/10.1093/neuonc/noac079.175
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Shuryak, I., Sachs, R. K., & Brenner, D. J. (2021). Quantitative modeling of carcinogenesis induced by single beams or mixtures of space radiations using targeted and non-targeted effects. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-02883-y
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