title: Generation of composite dose and biological effective dose (BED) over multiple treatment modalities and multistage planning using deformable image registration.
abstract: Currently there are no commercially available tools to generate composite plans across different treatment modalities and/or different planning image sets. Without a composite plan, it may be difficult to perform a meaningful dosimetric evaluation of the overall treatment course. In this paper, we introduce a method to generate composite biological effective dose (BED) plans over multiple radiotherapy treatment modalities and/or multistage plans, using deformable image registration. Two cases were used to demonstrate the method. Case I was prostate cancer treated with intensity-modulated radiation therapy (IMRT) and a permanent seed implant. Case II involved lung cancer treated with two treatment plans generated on two separate computed tomography image sets. Thin-plate spline or optical flow methods were used as appropriate to generate deformation matrices. The deformation matrices were then applied to the dose matrices and the resulting physical doses were converted to BED and added to yield the composite plan. Cell proliferation and sublethal repair were considered in the BED calculations. The difference in BED between normal tissues and tumor volumes was accounted for by using different BED models, alpha/beta values, and cell potential doubling times. The method to generate composite BED plans presented in this paper provides information not available with the traditional simple dose summation or physical dose summation. With the understanding of limitations and uncertainties of the algorithms involved, it may be valuable for the overall treatment plan evaluation.
authors.affiliation: Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA. geoffrey.zhang@moffitt.org <geoffrey.zhang@moffitt.org>
authors.forename: Geoffrey
authors.initials: G
authors.lastname: Zhang
authors.forename: Tzung-Chi
authors.initials: TC
authors.lastname: Huang
authors.forename: Vladimir
authors.initials: V
authors.lastname: Feygelman
authors.forename: Craig
authors.initials: C
authors.lastname: Stevens
authors.forename: Kenneth
authors.initials: K
authors.lastname: Forster
mesh_terms: D002289:Carcinoma, Non-Small-Cell Lung / Q000000981:diagnostic imaging / Q000473:pathology / Q000628:therapy*; D003131:Combined Modality Therapy; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging / Q000473:pathology / Q000628:therapy*; D008297:Male; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging / Q000473:pathology / Q000628:therapy*; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted; D020266:Radiotherapy, Conformal; D014057:Tomography, X-Ray Computed; D047368:Tumor Burden