Distance-to-agreement investigation of Tomotherapy's bony anatomy-based autoregistration and planning target volume contour-based optimization.
Purpose: To compare Tomotherapy's megavoltage computed tomography bony anatomy autoregistration with the best achievable registration, assuming no deformation and perfect knowledge of planning target volume (PTV) location. Methods and Materials: Distance-to-agreement (DTA) of the PTV was determined...
| Published in: | International Journal of Radiation Oncology, Biology, Physics Vol. 85; no. 3; pp. 862 - 866 |
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| Main Authors: | , , , |
| Format: | research Journal Article |
| Published: |
Pergamon Press - An Imprint of Elsevier Science
Mar2013
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104305795&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104305795 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03603016 1ZQ jtl: International Journal of Radiation Oncology, Biology, Physics issn: 03603016 maglogo: N pubinfo: dt: Mar2013 vid: 85 iid: 3 pid: 2410 pub: Pergamon Press - An Imprint of Elsevier Science artinfo: ui: 104305795 NLM22836060 2011920283 10.1016/j.ijrobp.2012.06.015 NLM22836060 104305795 ppf: 862 ppct: 4 formats: tig: atl: Distance-to-agreement investigation of Tomotherapy's bony anatomy-based autoregistration and planning target volume contour-based optimization. aug: au: Suh S Schultheiss TE Suh, Steve Schultheiss, Timothy E affil: Division of Radiation Oncology, City of Hope National Medical Center, Duarte, California, USA sug: subj: Body Regions Radiography Prostatic Neoplasms Radiography Radiotherapy, Computer-Assisted Standards Radiotherapy, Conformal Standards Tomography, X-Ray Computed Standards Human Male Prostate Radiography Prostatic Neoplasms Radiotherapy Radiotherapy, Computer-Assisted Equipment and Supplies Radiotherapy, Conformal Equipment and Supplies Tomography, X-Ray Computed Equipment and Supplies Tomography, X-Ray Computed Methods Male ab: Purpose: To compare Tomotherapy's megavoltage computed tomography bony anatomy autoregistration with the best achievable registration, assuming no deformation and perfect knowledge of planning target volume (PTV) location. Methods and Materials: Distance-to-agreement (DTA) of the PTV was determined by applying a rigid-body shift to the PTV region of interest of the prostate from its reference position, assuming no deformations. Planning target volume region of interest of the prostate was extracted from the patient archives. The reference position was set by the 6 degrees of freedom (dof)-x, y, z, roll, pitch, and yaw-optimization results from the previous study at this institution. The DTA and the compensating parameters were calculated by the shift of the PTV from the reference 6-dof to the 4-dof-x, y, z, and roll-optimization. In this study, the effectiveness of Tomotherapy's 4-dof bony anatomy-based autoregistration was compared with the idealized 4-dof PTV contour-based optimization. Results: The maximum DTA (maxDTA) of the bony anatomy-based autoregistration was 3.2 ± 1.9 mm, with the maximum value of 8.0 mm. The maxDTA of the contour-based optimization was 1.8 ± 1.3 mm, with the maximum value of 5.7 mm. Comparison of Pearson correlation of the compensating parameters between the 2 4-dof optimization algorithms shows that there is a small but statistically significant correlation in y and z (0.236 and 0.300, respectively), whereas there is very weak correlation in x and roll (0.062 and 0.025, respectively). Conclusions: We find that there is an average improvement of approximately 1 mm in terms of maxDTA on the PTV going from 4-dof bony anatomy-based autoregistration to the 4-dof contour-based optimization. Pearson correlation analysis of the 2 4-dof optimizations suggests that uncertainties due to deformation and inadequate resolution account for much of the compensating parameters, but pitch variation also makes a statistically significant contribution. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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