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dc.contributor.authorYu, Suhong
dc.contributor.authorXu, Huijun
dc.contributor.authorZhang, Yin
dc.contributor.authorZhang, Xin
dc.contributor.authorDyer, Michael
dc.contributor.authorHirsch, Ariel
dc.contributor.authorTam Truong, Minh
dc.contributor.authorZhen, Heming
dc.date.accessioned2021-03-04T13:18:04Z
dc.date.available2021-03-04T13:18:04Z
dc.date.issued2021-02-09
dc.identifier.urihttp://hdl.handle.net/10713/14805
dc.description.abstractForty CyberKnife SRS/SRT plans were retrospectively used to build a linear KBP model which correlated the equivalent radius of the PTV (req_PTV ) and the equivalent radius of volume that receives a set of prescription dose (req_Vi , where Vi  = V10% , V20% … V120% ). To evaluate the model's predictability, a fourfold cross-validation was performed for dosimetric indices such as gradient measure (GM) and brain V50% . The accuracy of the prediction was quantified by the mean and the standard deviation of the difference between planned and predicted values, (i.e., ΔGM = GMpred - GMclin and fractional ΔV50%  = (V50%pred - V50%clin )/V50%clin ) and a coefficient of determination, R2 . Then, the KBP model was incorporated into the planning for another 22 clinical cases. The training plans and the KBP test plans were compared in terms of the new conformity index (nCI) as well as the planning efficiency.en_US
dc.description.urihttps://doi.org/10.1002/acm2.13173en_US
dc.language.isoenen_US
dc.publisherJohn Wiley and Sons Ltden_US
dc.relation.ispartofJournal of Applied Clinical Medical Physicsen_US
dc.rights© 2021 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.en_US
dc.subjectCyberknifeen_US
dc.subjectknowledge-based planningen_US
dc.subjectstereotactic radiosurgeryen_US
dc.subjectstereotactic radiotherapyen_US
dc.titleKnowledge-based planning in robotic intracranial stereotactic radiosurgery treatmentsen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/acm2.13173
dc.identifier.pmid33560592
dc.source.countryUnited States


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