Literature DB >> 28452568

Can CT scan protocols used for radiotherapy treatment planning be adjusted to optimize image quality and patient dose? A systematic review.

Anne T Davis1,2, Antony L Palmer1,2, Andrew Nisbet1,3.   

Abstract

This article reviews publications related to the use of CT scans for radiotherapy treatment planning, specifically the impact of scan protocol changes on CT number and treatment planning dosimetry and on CT image quality. A search on PubMed and EMBASE and a subsequent review of references yielded 53 relevant articles. CT scan parameters significantly affect image quality. Some will also affect Hounsfield unit (HU) values, though this is not comprehensively reported on. Changes in tube kilovoltage and, on some scanners, field of view and reconstruction algorithms have been found to produce notable HU changes. The degree of HU change which can be tolerated without changing planning dose by >1% depends on the body region and size, planning algorithms, treatment beam energy and type of plan. A change in soft-tissue HU value has a greater impact than changes in HU for bone and air. The use of anthropomorphic phantoms is recommended when assessing HU changes. There is limited published work on CT scan protocol optimization in radiotherapy. Publications suggest that HU tolerances of ±20 HU for soft tissue and of ±50 HU for the lung and bone would restrict dose changes in the treatment plan to <1%. Literature related to the use of CT images in radiotherapy planning has been reviewed to establish the acceptable level of HU change and the impact on image quality of scan protocol adjustment. Conclusions have been presented and further work identified.

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Mesh:

Year:  2017        PMID: 28452568      PMCID: PMC5603945          DOI: 10.1259/bjr.20160406

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


  56 in total

1.  A technique for optimization of digitally reconstructed radiographs of the chest in virtual simulation.

Authors:  J H Killoran; E H Baldini; C J Beard; L Chin
Journal:  Int J Radiat Oncol Biol Phys       Date:  2001-01-01       Impact factor: 7.038

Review 2.  Principles of CT: radiation dose and image quality.

Authors:  Lee W Goldman
Journal:  J Nucl Med Technol       Date:  2007-11-15

3.  Experience converting an RT department to full CT simulation: technical issues identified during commissioning of a wide-bore scanner.

Authors:  M A Ebert; J Kenny; P B Greer
Journal:  J Med Imaging Radiat Oncol       Date:  2009-06       Impact factor: 1.735

4.  The effects of field-of-view and patient size on CT numbers from cone-beam computed tomography.

Authors:  Katrina Y T Seet; Arvand Barghi; Slav Yartsev; Jake Van Dyk
Journal:  Phys Med Biol       Date:  2009-10-01       Impact factor: 3.609

5.  Relationships of clinical protocols and reconstruction kernels with image quality and radiation dose in a 128-slice CT scanner: study with an anthropomorphic and water phantom.

Authors:  Jijo Paul; B Krauss; R Banckwitz; W Maentele; R W Bauer; T J Vogl
Journal:  Eur J Radiol       Date:  2011-02-12       Impact factor: 3.528

6.  Cone beam computerized tomography: the effect of calibration of the Hounsfield unit number to electron density on dose calculation accuracy for adaptive radiation therapy.

Authors:  Joan Hatton; Boyd McCurdy; Peter B Greer
Journal:  Phys Med Biol       Date:  2009-07-10       Impact factor: 3.609

7.  Evaluation of a commercial orthopaedic metal artefact reduction tool in radiation therapy of patients with head and neck cancer.

Authors:  H Kwon; K S Kim; Y M Chun; H-G Wu; J N K Carlson; J M Park; J-I Kim
Journal:  Br J Radiol       Date:  2015-05-20       Impact factor: 3.039

8.  An evaluation of three commercially available metal artifact reduction methods for CT imaging.

Authors:  Jessie Y Huang; James R Kerns; Jessica L Nute; Xinming Liu; Peter A Balter; Francesco C Stingo; David S Followill; Dragan Mirkovic; Rebecca M Howell; Stephen F Kry
Journal:  Phys Med Biol       Date:  2015-01-14       Impact factor: 3.609

9.  Acceptance testing computerized radiation therapy treatment planning systems: direct utilization of CT scan data.

Authors:  E C McCullough; T W Holmes
Journal:  Med Phys       Date:  1985 Mar-Apr       Impact factor: 4.071

10.  Correction for 'artificial' electron disequilibrium due to cone-beam CT density errors: implications for on-line adaptive stereotactic body radiation therapy of lung.

Authors:  Brandon Disher; George Hajdok; An Wang; Jeff Craig; Stewart Gaede; Jerry J Battista
Journal:  Phys Med Biol       Date:  2013-05-20       Impact factor: 3.609

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  4 in total

1.  Impact of computed tomography (CT) reconstruction kernels on radiotherapy dose calculation.

Authors:  Irina Vergalasova; Michael McKenna; Ning Jeff Yue; Meral Reyhan
Journal:  J Appl Clin Med Phys       Date:  2020-09-05       Impact factor: 2.102

2.  Patient-Specific Quality Assurance Using a 3D-Printed Chest Phantom for Intraoperative Radiotherapy in Breast Cancer.

Authors:  Yeonho Choi; Ik Jae Lee; Kwangwoo Park; Kyung Ran Park; Yeona Cho; Jun Won Kim; Ho Lee
Journal:  Front Oncol       Date:  2021-03-15       Impact factor: 6.244

3.  Fully automated rigid image registration versus human registration in postoperative spine stereotactic body radiation therapy: a multicenter non-inferiority study.

Authors:  Yutaro Koide; Hidetoshi Shimizu; Risei Miyauchi; Shouichi Haimoto; Hiroshi Tanaka; Yui Watanabe; Sou Adachi; Daiki Kato; Takahiro Aoyama; Tomoki Kitagawa; Hiroyuki Tachibana; Takeshi Kodaira
Journal:  J Radiat Res       Date:  2022-01-20       Impact factor: 2.724

4.  Radiation dosimetry changes in radiotherapy treatment plans for adult patients arising from the selection of the CT image reconstruction kernel.

Authors:  Anne T Davis; Sarah Muscat; Antony L Palmer; David Buckle; James Earley; Matthew G J Williams; Andrew Nisbet
Journal:  BJR Open       Date:  2019-07-30
  4 in total

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