Near Real-Time Assessment of Anatomic and Dosimetric Variations for Head and Neck Radiation Therapy via Graphics Processing Unit-based Dose Deformation Framework.
Purpose: The purpose of this study was to systematically monitor anatomic variations and their dosimetric consequences during intensity modulated radiation therapy (IMRT) for head and neck (H&N) cancer by using a graphics processing unit (GPU)-based deformable image registration (DIR) framework. Met...
| Publicado en: | International Journal of Radiation Oncology, Biology, Physics Vol. 92; no. 2; pp. 415 - 423 |
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| Autores principales: | , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Pergamon Press - An Imprint of Elsevier Science
Jun2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109785938&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109785938 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: Jun2015 vid: 92 iid: 2 pid: 2410 pub: Pergamon Press - An Imprint of Elsevier Science artinfo: ui: 109785938 109785938 NLM25847607 2013004655 10.1016/j.ijrobp.2015.01.033 NLM25847607 109785938 ppf: 415 ppct: 8 formats: tig: atl: Near Real-Time Assessment of Anatomic and Dosimetric Variations for Head and Neck Radiation Therapy via Graphics Processing Unit-based Dose Deformation Framework. aug: au: Qi, X Sharon Santhanam, Anand Neylon, John Min, Yugang Armstrong, Tess Sheng, Ke Staton, Robert J Pukala, Jason Pham, Andrew Low, Daniel A Lee, Steve P Steinberg, Michael Manon, Rafael Chen, Allen M Kupelian, Patrick sug: subj: Head and Neck Neoplasms Radiography Head and Neck Neoplasms Radiotherapy Parotid Gland Radiation Effects Parotid Gland Radiography Radiotherapy, Computer-Assisted Methods Radiotherapy, Conformal Methods Ethmoid Sinus Pilot Studies Human Nasopharyngeal Neoplasms Radiography Nasopharyngeal Neoplasms Radiotherapy Body Regions Radiation Effects Body Regions Radiography Paranasal Sinus Neoplasms Radiography Paranasal Sinus Neoplasms Radiotherapy Radiation Dosage Tomography, X-Ray Computed Methods Tongue Neoplasms Radiography Tongue Neoplasms Radiotherapy Pharyngeal Neoplasms Radiography Pharyngeal Neoplasms Radiotherapy ab: Purpose: The purpose of this study was to systematically monitor anatomic variations and their dosimetric consequences during intensity modulated radiation therapy (IMRT) for head and neck (H&N) cancer by using a graphics processing unit (GPU)-based deformable image registration (DIR) framework. Methods and Materials: Eleven IMRT H&N patients undergoing IMRT with daily megavoltage computed tomography (CT) and weekly kilovoltage CT (kVCT) scans were included in this analysis. Pretreatment kVCTs were automatically registered with their corresponding planning CTs through a GPU-based DIR framework. The deformation of each contoured structure in the H&N region was computed to account for nonrigid change in the patient setup. The Jacobian determinant of the planning target volumes and the surrounding critical structures were used to quantify anatomical volume changes. The actual delivered dose was calculated accounting for the organ deformation. The dose distribution uncertainties due to registration errors were estimated using a landmark-based gamma evaluation. Results: Dramatic interfractional anatomic changes were observed. During the treatment course of 6 to 7 weeks, the parotid gland volumes changed up to 34.7%, and the center-of-mass displacement of the 2 parotid glands varied in the range of 0.9 to 8.8 mm. For the primary treatment volume, the cumulative minimum and mean and equivalent uniform doses assessed by the weekly kVCTs were lower than the planned doses by up to 14.9% (P=.14), 2% (P=.39), and 7.3% (P=.05), respectively. The cumulative mean doses were significantly higher than the planned dose for the left parotid (P=.03) and right parotid glands (P=.006). The computation including DIR and dose accumulation was ultrafast (∼45 seconds) with registration accuracy at the subvoxel level. Conclusions: A systematic analysis of anatomic variations in the H&N region and their dosimetric consequences is critical in improving treatment efficacy. Nearly real-time assessment of anatomic and dosimetric variations is feasible using the GPU-based DIR framework. Clinical implementation of this technology may enable timely plan adaptation and improved outcome. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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