Literature DB >> 30433821

An evaluation of techniques for dose calculation on cone beam computed tomography.

Valentina Giacometti1, Raymond B King1,2, Christina E Agnew2, Denise M Irvine2, Suneil Jain1,2, Alan R Hounsell1,2, Conor K McGarry1,2.   

Abstract

OBJECTIVE: : To assess the accuracy and efficiency of four different techniques, thus determining the optimum method for recalculating dose on cone beam CT (CBCT) images acquired during radiotherapy treatments.
METHODS: : Four established techniques were investigated and their accuracy assessed via dose calculations: (1) applying a standard planning CT (pCT) calibration curve, (2) applying a CBCT site-specific calibration curve, (3) performing a density override and (4) using deformable registration. Each technique was applied to 15 patients receiving volumetric modulated arc therapy to one of three treatment sites, head and neck, lung and prostate. Differences between pCT and CBCT recalculations were determined with dose volume histogram metrics and 2.0%/0.1 mm gamma analysis using the pCT dose distribution as a reference.
RESULTS: : Dose volume histogram analysis indicated that all techniques yielded differences from expected results between 0.0 and 2.3% for both target volumes and organs at risk. With volumetric gamma analysis, the dose recalculation on deformed images yielded the highest pass-rates. The median pass-rate ranges at 50% threshold were 99.6-99.9%, 94.6-96.0%, and 94.8.0-96.0% for prostate, head and neck and lung patients, respectively.
CONCLUSION: : Deformable registration, HU override and site-specific calibration curves were all identified as dosimetrically accurate and efficient methods for dose calculation on CBCT images. ADVANCES IN KNOWLEDGE:: With the increasing adoption of CBCT, this study provides clinical radiotherapy departments with invaluable information regarding the comparison of dose reconstruction methods, enabling a more accurate representation of a patient's treatment. It can also integrate studies in which CBCT is used in image-guided radiation therapy and for adaptive radiotherapy planning processes.

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Year:  2019        PMID: 30433821      PMCID: PMC6540850          DOI: 10.1259/bjr.20180383

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  38 in total

1.  Flat-panel cone-beam computed tomography for image-guided radiation therapy.

Authors:  David A Jaffray; Jeffrey H Siewerdsen; John W Wong; Alvaro A Martinez
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-08-01       Impact factor: 7.038

2.  Shading correction algorithm for improvement of cone-beam CT images in radiotherapy.

Authors:  T E Marchant; C J Moore; C G Rowbottom; R I MacKay; P C Williams
Journal:  Phys Med Biol       Date:  2008-09-26       Impact factor: 3.609

3.  Automatic segmentation of thoracic and pelvic CT images for radiotherapy planning using implicit anatomic knowledge and organ-specific segmentation strategies.

Authors:  B Haas; T Coradi; M Scholz; P Kunz; M Huber; U Oppitz; L André; V Lengkeek; D Huyskens; A van Esch; R Reddick
Journal:  Phys Med Biol       Date:  2008-03-07       Impact factor: 3.609

4.  Dosimetric feasibility of cone-beam CT-based treatment planning compared to CT-based treatment planning.

Authors:  Sua Yoo; Fang-Fang Yin
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-10-23       Impact factor: 7.038

Review 5.  Image registration and data fusion in radiation therapy.

Authors:  M L Kessler
Journal:  Br J Radiol       Date:  2006-09       Impact factor: 3.039

6.  A radiographic and tomographic imaging system integrated into a medical linear accelerator for localization of bone and soft-tissue targets.

Authors:  D A Jaffray; D G Drake; M Moreau; A A Martinez; J W Wong
Journal:  Int J Radiat Oncol Biol Phys       Date:  1999-10-01       Impact factor: 7.038

7.  Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors.

Authors:  Pierre Castadot; John Aldo Lee; Adriane Parraga; Xavier Geets; Benoît Macq; Vincent Grégoire
Journal:  Radiother Oncol       Date:  2008-05-22       Impact factor: 6.280

8.  A study on adaptive IMRT treatment planning using kV cone-beam CT.

Authors:  George X Ding; Dennis M Duggan; Charles W Coffey; Matthew Deeley; Dennis E Hallahan; Anthony Cmelak; Arnold Malcolm
Journal:  Radiother Oncol       Date:  2007-08-20       Impact factor: 6.280

9.  Correction of conebeam CT values using a planning CT for derivation of the "dose of the day".

Authors:  Mathilda van Zijtveld; Maarten Dirkx; Ben Heijmen
Journal:  Radiother Oncol       Date:  2007-10-23       Impact factor: 6.280

10.  Investigation of the usability of conebeam CT data sets for dose calculation.

Authors:  Anne Richter; Qiaoqiao Hu; Doreen Steglich; Kurt Baier; Jürgen Wilbert; Matthias Guckenberger; Michael Flentje
Journal:  Radiat Oncol       Date:  2008-12-16       Impact factor: 3.481

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  12 in total

1.  Adaptive Radiotherapy: Moving Into the Future.

Authors:  Kristy K Brock
Journal:  Semin Radiat Oncol       Date:  2019-07       Impact factor: 5.934

2.  Patterns of practice for adaptive and real-time radiation therapy (POP-ART RT) part II: Offline and online plan adaption for interfractional changes.

Authors:  Jenny Bertholet; Gail Anastasi; David Noble; Arjan Bel; Ruud van Leeuwen; Toon Roggen; Michael Duchateau; Sara Pilskog; Cristina Garibaldi; Nina Tilly; Rafael García-Mollá; Jorge Bonaque; Uwe Oelfke; Marianne C Aznar; Ben Heijmen
Journal:  Radiother Oncol       Date:  2020-06-21       Impact factor: 6.280

3.  Cone beam computed tomography for dose calculation quality assurance for magnetic resonance-only radiotherapy.

Authors:  Jonathan J Wyatt; Rachel A Pearson; Christopher P Walker; Rachel L Brooks; Karen Pilling; Hazel M McCallum
Journal:  Phys Imaging Radiat Oncol       Date:  2021-02-02

4.  Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy.

Authors:  Liugang Gao; Kai Xie; Xiaojin Wu; Zhengda Lu; Chunying Li; Jiawei Sun; Tao Lin; Jianfeng Sui; Xinye Ni
Journal:  Radiat Oncol       Date:  2021-10-14       Impact factor: 3.481

5.  Adaptive radiotherapy for head and neck cancer reduces the requirement for rescans during treatment due to spinal cord dose.

Authors:  Louise Belshaw; Christina E Agnew; Denise M Irvine; Keith P Rooney; Conor K McGarry
Journal:  Radiat Oncol       Date:  2019-11-01       Impact factor: 3.481

6.  Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning.

Authors:  You Zhang; Xiaokun Huang; Jing Wang
Journal:  Vis Comput Ind Biomed Art       Date:  2019-12-12

7.  Adaptive radiotherapy based on statistical process control for oropharyngeal cancer.

Authors:  Hesheng Wang; Jinyu Xue; Ting Chen; Tanxia Qu; David Barbee; Moses Tam; Kenneth Hu
Journal:  J Appl Clin Med Phys       Date:  2020-08-08       Impact factor: 2.102

8.  CBCT image quality QA: Establishing a quantitative program.

Authors:  Sameer Taneja; David L Barbee; Anthony J Rea; Martha Malin
Journal:  J Appl Clin Med Phys       Date:  2020-10-19       Impact factor: 2.243

9.  Feasibility evaluation of kilovoltage cone-beam computed tomography dose calculation following scatter correction: investigations of phantom and representative tumor sites.

Authors:  Huipeng Meng; Xiangjuan Meng; Qingtao Qiu; Yanlong Zhang; Xin Ming; Qifeng Li; Keqiang Wang; Ruohui Zhang; Jinghao Duan
Journal:  Transl Cancer Res       Date:  2021-08       Impact factor: 1.241

10.  A Deep Unsupervised Learning Model for Artifact Correction of Pelvis Cone-Beam CT.

Authors:  Guoya Dong; Chenglong Zhang; Xiaokun Liang; Lei Deng; Yulin Zhu; Xuanyu Zhu; Xuanru Zhou; Liming Song; Xiang Zhao; Yaoqin Xie
Journal:  Front Oncol       Date:  2021-07-16       Impact factor: 6.244

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