Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Todd R. McNutt PhD"'
Autor:
Sara R. Alcorn MD, MPH, PhD, Xian Chiong Zhou MS, Casey Bojechko PhD, Rodrigo A. Rubo BS, Michael J. Chen MD, Karin Dieckmann MD, Ralph P. Ermoian MD, Eric C. Ford PhD, Daria Kobyzeva MD, Shannon M. MacDonald MD, Todd R. McNutt PhD, Alexey Nechesnyuk MD, Kristina Nilsson MD, PhD, Hakan Sjostrand BS, Koren S. Smith MS, Markus Stock PhD, Erik J. Tryggestad PhD, Rosangela C. Villar MD, Brian A. Winey PhD, Stephanie A. Terezakis MD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 19 (2020)
Background: Lower-dose cone-beam computed tomography protocols for image-guided radiotherapy may permit target localization while minimizing radiation exposure. We prospectively evaluated a lower-dose cone-beam protocol for central nervous system ima
Externí odkaz:
https://doaj.org/article/63272d7e5e25499289ab133f3b5a6ca6
Autor:
Zhi Cheng, MD, MPH, Lauren M. Rosati, BS, Linda Chen, MD, Omar Y. Mian, MD, PhD, Yilin Cao, MD, Marta Villafania, BS, Minoru Nakatsugawa, PhD, Joseph A. Moore, PhD, Scott P. Robertson, PhD, Juan Jackson, BS, Amy Hacker-Prietz, PA-C, Jin He, MD, PhD, Christopher L. Wolfgang, MD, PhD, Matthew J. Weiss, MD, Joseph M. Herman, MD, MS, Amol K. Narang, MD, Todd R. McNutt, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 3, Iss 4, Pp 601-610 (2018)
Purpose: For patients with localized pancreatic cancer (PC) with vascular involvement, prediction of resectability is critical to define optimal treatment. However, the current definitions of borderline resectable (BR) and locally advanced (LA) disea
Externí odkaz:
https://doaj.org/article/15136fc206b645099c2da69bb6fdbe95
Autor:
Zhi Cheng, MD MPH, Minoru Nakatsugawa, PhD, Chen Hu, PhD, Scott P. Robertson, PhD, Xuan Hui, MD MS, Joseph A. Moore, PhD, Michael R. Bowers, BS, Ana P. Kiess, MD PhD, Brandi R. Page, MD, Laura Burns, BSN, Mariah Muse, BSN, Amanda Choflet, MS RN OCN, Kousuke Sakaue, MS, Shinya Sugiyama, MS, Kazuki Utsunomiya, MS, John W. Wong, PhD, Todd R. McNutt, PhD, Harry Quon, MD MS
Publikováno v:
Advances in Radiation Oncology, Vol 3, Iss 3, Pp 346-355 (2018)
Objective: We explore whether a knowledge–discovery approach building a Classification and Regression Tree (CART) prediction model for weight loss (WL) in head and neck cancer (HNC) patients treated with radiation therapy (RT) is feasible. Methods
Externí odkaz:
https://doaj.org/article/ddd58f81c04b42b097cb24959f3c7845