Papers
1
Total Citations
37
H-Index
1
About
B. Bekman is a leading researcher in radiation oncology, with a primary focus on advanced treatment planning for stereotactic radiosurgery. Their key contributions lie in the development and dosimetric evaluation of automated planning strategies for linac-based systems, particularly for treating multiple brain metastases. Bekman’s most-cited work, an in silico study from 2018 (37 citations), critically appraised a novel automated planning engine, demonstrating its ability to produce high-quality, conformal plans and systematically comparing its performance against robotic-based delivery methods. This research directly addresses a pressing clinical need: improving efficiency and consistency in complex, multi-target radiosurgery. By quantifying the dosimetric quality of automated plans, Bekman’s work provides compelling evidence for the adoption of streamlined workflows, potentially reducing planning time while maintaining or enhancing treatment precision. Their comparative analysis offers valuable guidance for centers choosing between linac and robotic platforms, solidifying Bekman’s reputation as a key voice in the optimization of modern radiosurgery.
Research Focus
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Top Papers
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