Browsing by Author "Buchsbaum, Jeffrey C."

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    Rapid RBE-Weighted Proton Radiation Dosimetry Risk Assessment
    (Sage, 2016-10) Qutub, Mohammad A. Z.; Klein, Susan B.; Buchsbaum, Jeffrey C.; Department of Radiation Oncology, IU School of Medicine
    Proton therapy dose is affected by relative biological effectiveness differently than X-ray therapies. The current clinically accepted weighting factor is 1.1 at all positions along the depth–dose profile. However, the relative biological effectiveness correlates with the linear energy transfer, cell or tissue type, and the dose per fraction causing variation of relative biological effectiveness along the depth–dose profile. In this article, we present a simple relative biological effectiveness-weighted treatment planning risk assessment algorithm in 2-dimensions and compare the results with those derived using the standard relative biological effectiveness of 1.1. The isodose distribution profiles for beams were accomplished using matrices that represent coplanar intersecting beams. These matrices were combined and contoured using MATLAB to achieve the distribution of dose. There are some important differences in dose distribution between the dose profiles resulting from the use of relative biological effectiveness = 1.1 and the empirically derived depth-dependent values of relative biological effectiveness. Significant hot spots of up to twice the intended dose are indicated in some beam configurations. This simple and rapid risk analysis could quickly evaluate the safety of various dose delivery schema.
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    Workshop Report for Cancer Research: Defining the Shades of Gy: Utilizing the Biological Consequences of Radiotherapy in the Development of New Treatment Approaches—Meeting Viewpoint
    (AACR, 2018-05) Ahmed, Mansoor M.; Coleman, C. Norman; Mendonca, Marc; Bentzen, Soren; Vikram, Bhadrasain; Seltzer, Stephen M.; Goodhead, Dudley; Obcemea, Ceferino; Mohan, Radhe; Prise, Kevin M.; Capala, Jacek; Citrin, Deborah; Kao, Gary; Aryankalayil, Molykutty; Eke, Iris; Buchsbaum, Jeffrey C.; Prasanna, Pataje G. S.; Liu, Fei-Fei; Le, Quynh-Thu; Teicher, Beverly; Kirsch, David G.; Smart, DeeDee; Tepper, Joel; Formenti, Silvia; Haas-Kogan, Daphne; Raben, David; Mitchell, James; Radiation Oncology, School of Medicine
    The ability to physically target radiotherapy using image-guidance is continually improving with photons and particle therapy that include protons and heavier ions such as carbon. The unit of dose deposited is the gray (Gy); however, particle therapies produce different patterns of ionizations, and there is evidence that the biological effects of radiation depend on dose size, schedule, and type of radiation. This National Cancer Institute (NCI)–sponsored workshop addressed the potential of using radiation-induced biological perturbations in addition to physical dose, Gy, as a transformational approach to quantifying radiation.