Literature DB >> 29178605

RECORDS: improved Reporting of montE CarlO RaDiation transport Studies: Report of the AAPM Research Committee Task Group 268.

Ioannis Sechopoulos1,2, D W O Rogers3, Magdalena Bazalova-Carter4, Wesley E Bolch5, Emily C Heath3, Michael F McNitt-Gray6, Josep Sempau7, Jeffrey F Williamson8.   

Abstract

Studies involving Monte Carlo simulations are common in both diagnostic and therapy medical physics research, as well as other fields of basic and applied science. As with all experimental studies, the conditions and parameters used for Monte Carlo simulations impact their scope, validity, limitations, and generalizability. Unfortunately, many published peer-reviewed articles involving Monte Carlo simulations do not provide the level of detail needed for the reader to be able to properly assess the quality of the simulations. The American Association of Physicists in Medicine Task Group #268 developed guidelines to improve reporting of Monte Carlo studies in medical physics research. By following these guidelines, manuscripts submitted for peer-review will include a level of relevant detail that will increase the transparency, the ability to reproduce results, and the overall scientific value of these studies. The guidelines include a checklist of the items that should be included in the Methods, Results, and Discussion sections of manuscripts submitted for peer-review. These guidelines do not attempt to replace the journal reviewer, but rather to be a tool during the writing and review process. Given the varied nature of Monte Carlo studies, it is up to the authors and the reviewers to use this checklist appropriately, being conscious of how the different items apply to each particular scenario. It is envisioned that this list will be useful both for authors and for reviewers, to help ensure the adequate description of Monte Carlo studies in the medical physics literature.
© 2017 American Association of Physicists in Medicine.

Entities:  

Keywords:  Monte Carlo simulation; diagnosis; guidelines; publication; radiation transport; radiotherapy

Mesh:

Year:  2017        PMID: 29178605     DOI: 10.1002/mp.12702

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  18 in total

1.  Organ doses from CT localizer radiographs: Development, validation, and application of a Monte Carlo estimation technique.

Authors:  Jocelyn Hoye; Shobhit Sharma; Yakun Zhang; Wanyi Fu; Francesco Ria; Anuj Kapadia; W Paul Segars; Joshua Wilson; Ehsan Samei
Journal:  Med Phys       Date:  2019-09-16       Impact factor: 4.071

2.  Applications of MCNP simulation in treatment planning: a comparative study.

Authors:  Seyed Milad Vahabi; Mojtaba Shamsaie Zafarghandi
Journal:  Radiat Environ Biophys       Date:  2020-04-02       Impact factor: 1.925

3.  Reference dataset for benchmarking fetal doses derived from Monte Carlo simulations of CT exams.

Authors:  Anthony J Hardy; Maryam Bostani; Erin Angel; Chris Cagnon; Ioannis Sechopoulos; Michael F McNitt-Gray
Journal:  Med Phys       Date:  2020-11-28       Impact factor: 4.071

Review 4.  Monte Carlo methods for device simulations in radiation therapy.

Authors:  Hyojun Park; Harald Paganetti; Jan Schuemann; Xun Jia; Chul Hee Min
Journal:  Phys Med Biol       Date:  2021-09-14       Impact factor: 4.174

Review 5.  A meta-review of effective doses in dental and maxillofacial cone beam CT using the ROBIS tool.

Authors:  Ayman Al-Okshi; Keith Horner; Madeleine Rohlin
Journal:  Br J Radiol       Date:  2021-05-27       Impact factor: 3.629

6.  Radiation dosimetry of a clinical prototype dedicated cone-beam breast CT system with offset detector.

Authors:  Hsin Wu Tseng; Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2021-01-26       Impact factor: 4.506

7.  Dosimetric study of GZP6 60 Co high dose rate brachytherapy source.

Authors:  Qin Lei; Anjian Xu; Chengjun Gou; Yumei Wen; Donglin He; Junxiang Wu; Qing Hou; Zhangwen Wu
Journal:  J Appl Clin Med Phys       Date:  2018-05-28       Impact factor: 2.102

8.  How have advances in CT dosimetry software impacted estimates of CT radiation dose and cancer incidence? A comparison of CT dosimetry software: Implications for past and future research.

Authors:  Susannah Maxwell; Richard Fox; Donald McRobbie; Max Bulsara; Jenny Doust; Peter O'Leary; John Slavotinek; John Stubbs; Rachael Moorin
Journal:  PLoS One       Date:  2019-08-14       Impact factor: 3.240

9.  PRIMO Monte Carlo software benchmarked against a reference dosimetry dataset for 6 MV photon beams from Varian linacs.

Authors:  Marcelino Hermida-López; David Sánchez-Artuñedo; Juan Francisco Calvo-Ortega
Journal:  Radiat Oncol       Date:  2018-08-07       Impact factor: 3.481

10.  Sensitivity analysis of Monte Carlo model of a gantry-mounted passively scattered proton system.

Authors:  Milad Baradaran-Ghahfarokhi; Francisco Reynoso; Michael T Prusator; Baozhou Sun; Tianyu Zhao
Journal:  J Appl Clin Med Phys       Date:  2020-01-03       Impact factor: 2.102

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