Zobrazeno 1 - 10
of 32
pro vyhledávání: '"M.A.M. Meheissen"'
Autor:
Jason M. Johnson, Penny Fang, Shirley Y. Su, Baher Elgohari, Sweet Ping Ng, David I. Rosenthal, Renata Ferrarotto, Jay Reddy, Mona Kamal, Adam S. Garden, Hesham Elhalawani, Clifton D. Fuller, G. Brandon Gunn, Steven J. Frank, Jack Phan, Houda Bahig, Courtney Pollard, Nandita Guha-Thakurta, Amy C. Moreno, M.A.M. Meheissen, Carlos E. Cardenas
Publikováno v:
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology, Vol 14, Iss, Pp 1-5 (2020)
Physics and Imaging in Radiation Oncology, Vol 14, Iss, Pp 1-5 (2020)
Highlights • GTVs on the 60 kV and 140 kV from DECT, and the T1c and T2 from MRI were compared. • Delineation was the most consistent using T1c (no interobserver difference in DSC). • T1c MRI provided higher interobserver agreement for skull ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e6b6fb8e3c565363be5d3c936e88120
https://doi.org/10.1016/j.phro.2020.04.001
https://doi.org/10.1016/j.phro.2020.04.001
Autor:
Abdallah S.R. Mohamed, G. Brandon Gunn, Carlos E. Cardenas, David I. Rosenthal, Stephen Y. Lai, Katherine A. Hutcheson, Renata Ferrarotto, Jhankruti Zaveri, Clifton D. Fuller, Mona Kamal, M.A.M. Meheissen, Amit Jethanandani, Stefania Volpe, Martha P. Barrow, Jan S. Lewin, Samuel L Mulder
Publikováno v:
Radiotherapy and Oncology. 128:442-451
Purpose Our primary aim was to prospectively validate retrospective dose–response models of chronic radiation-associated dysphagia (RAD) after intensity modulated radiotherapy (IMRT) for oropharyngeal cancer (OPC). The secondary aim was to validate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f4d689c2f6fc0b2b53eb68780477432
https://doi.org/10.1016/j.radonc.2018.06.013
https://doi.org/10.1016/j.radonc.2018.06.013
Autor:
Laurence E. Court, Mona Kamal, Rachel E. McCarroll, Arvind Rao, Abdallah S.R. Mohamed, Carlos E. Cardenas, Clifton D. Fuller, Jinzhong Yang, Andrew J. Wong, M.A.M. Meheissen, Michalis Aristophanous, Bowman Williams, Baher Elgohari, Hesham Elhalawani
Publikováno v:
International Journal of Radiation Oncology*Biology*Physics. 101:468-478
Purpose Automating and standardizing the contouring of clinical target volumes (CTVs) can reduce interphysician variability, which is one of the largest sources of uncertainty in head and neck radiation therapy. In addition to using uniform margin ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c8b69e3330ca1d7c8718ffacfbe6fc4
https://doi.org/10.1016/j.ijrobp.2018.01.114
https://doi.org/10.1016/j.ijrobp.2018.01.114
Autor:
Abdallah S.R. Mohamed, Mark S. Chambers, Jeremy M. Aymard, M.A.M. Meheissen, A. Dursteler, Katherine A. Hutcheson, Charles Lu, Karine A. Al Feghali, Tito R. Mendoza, S. Eraj, Joshua B. Smith, Stefania Volpe, Ryan P. Goepfert, Anderson Head, A. White, William H. Morrison, Mona Kamal, Adam S. Garden, David I. Rosenthal, Clifton D. Fuller, Joel Berends, Erich M. Sturgis, Richard C. Cardoso, Steven J. Frank, G. Brandon Gunn, Bowman Williams
Publikováno v:
Radiotherapy and Oncology. 126:75-80
To identify a clinically meaningful cut-point for the single item dry mouth question of the MD Anderson Symptom Inventory-Head and Neck module (MDASI-HN).Head and neck cancer survivors who had received radiation therapy (RT) completed the MDASI-HN, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1bf21f51da2f7c53890321988ea0116
https://doi.org/10.1016/j.radonc.2017.10.037
https://doi.org/10.1016/j.radonc.2017.10.037
Autor:
M.A.M. Meheissen, David I. Rosenthal, James Zafereo, Stephen Y. Lai, Rachel B. Ger, Joel Berends, Clifton D. Fuller, David M. Vock, Mona Kamal, Adam S. Garden, Abdallah S.R. Mohamed, Carlos E. Cardenas, Ben Warren, Subha Perni, Aasheesh Kanwar, A. White, Bassem Youssef, Pei Yang, Hesham Elhalawani, Lifei Zhang, X Fave, Bowman Williams, J.A. Messer, Dennis Stephen Mackin, Jeremy M. Aymard, Baher Elgohari, Shady Abohashem, G. Elisabeta Marai, Guadalupe Canahuate, Laurence E. Court, Andrew J. Wong, G. Brandon Gunn
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
Scientific Reports
Scientific Reports
Radiomics is one such “big data” approach that applies advanced image refining/data characterization algorithms to generate imaging features that can quantitatively classify tumor phenotypes in a non-invasive manner. We hypothesize that certain t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29e0c623b9ec382f4d1c4cefd24a83dc
https://doaj.org/article/14dc704120a64401851bd9962500904a
https://doaj.org/article/14dc704120a64401851bd9962500904a
Akademický článek
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Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Autor:
Geoffrey V. Martin, Courtney Pollard, Houda Bahig, Huamin Wang, Nandita Guha-Thakurta, Abdallah S.R. Mohamed, Sweet Ping Ng, M.A.M. Meheissen, S.J. Frank, C.D. Fuller, Jack Phan, William H. Morrison, Adam S. Garden, Theresa Nguyen, Amy C. Moreno, Jay Reddy, Gary Brandon Gunn
Publikováno v:
International Journal of Radiation Oncology*Biology*Physics. 111:e375
Purpose/Objective(s) In the setting of head and neck (HN) re-irradiation (reRT), the goal is to adequately cover disease with as small a volume as appropriate to minimize normal tissue toxicity without compromising local control. However, it can be a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1815460a65adaaa35939bfde783b42a4
https://doi.org/10.1016/j.ijrobp.2021.07.1104
https://doi.org/10.1016/j.ijrobp.2021.07.1104
Autor:
Jack Phan, Amit Jethanandani, Kendall J. Kiser, Houda Bahig, Neamat Hegazy, Yao Ding, Gary Brandon Gunn, Y. Rostom, Renjie He, Sweet Ping Ng, M.A.M. Meheissen, David I. Rosenthal, Stephen Y. Lai, Clifton D. Fuller, Hesham Elhalawani, Steven J. Frank, Jihong Wang, Kristy K. Brock, Mona Kamal, Adam S. Garden, Joint Head, Abdallah S.R. Mohamed
Publikováno v:
Clinical and Translational Radiation Oncology
Clinical and Translational Radiation Oncology, Vol 18, Iss, Pp 120-127 (2019)
Clinical and Translational Radiation Oncology, Vol 18, Iss, Pp 120-127 (2019)
Highlights • MRI-CT deformable image registration was not superior to rigid registration. • Dice similarity coefficients were 0.65, 0.62, and 0.63 for deformable registrations. • Dice similarity coefficient was 0.63 for rigid registration. •
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59082a03edfae225ff793dc9d65fb577
https://pubmed.ncbi.nlm.nih.gov/31341987
https://pubmed.ncbi.nlm.nih.gov/31341987
Autor:
M.A.M. Meheissen, Adam S. Garden, Carlos E. Cardenas, Penny Fang, C.D. Fuller, Jack Phan, H. Elhalawani, Sweet Ping Ng, Jay Reddy, Baher Elgohari, Houda Bahig
Publikováno v:
International Journal of Radiation Oncology*Biology*Physics. 108:e424
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::376b3cb863de63e4a27a429bbe24c60e
https://doi.org/10.1016/j.ijrobp.2020.07.2497
https://doi.org/10.1016/j.ijrobp.2020.07.2497