دورية أكاديمية
Applications of artificial intelligence for machine- and patient-specific quality assurance in radiation therapy: current status and future directions.
| العنوان: | Applications of artificial intelligence for machine- and patient-specific quality assurance in radiation therapy: current status and future directions. |
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| المؤلفون: | Ono T; Department of Radiation Oncology, Shiga General Hospital, 5-4-30 Moriyama, Moriyama-shi 524-8524, Shiga, Japan.; Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan., Iramina H; Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan., Hirashima H; Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan., Adachi T; Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan., Nakamura M; Division of Medical Physics, Department of Information Technology and Medical Engineering, Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan., Mizowaki T; Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan. |
| المصدر: | Journal of radiation research [J Radiat Res] 2024 Jul 22; Vol. 65 (4), pp. 421-432. |
| نوع المنشور: | Journal Article; Review |
| اللغة: | English |
| بيانات الدورية: | Publisher: Oxford University Press Country of Publication: England NLM ID: 0376611 Publication Model: Print Cited Medium: Internet ISSN: 1349-9157 (Electronic) Linking ISSN: 04493060 NLM ISO Abbreviation: J Radiat Res Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: July 2012- : Oxford : Oxford University Press Original Publication: Tokyo : Japan Radiation Research Society |
| مواضيع طبية MeSH: | Artificial Intelligence* , Quality Assurance, Health Care*, Humans ; Radiotherapy Planning, Computer-Assisted/methods ; Radiotherapy, Intensity-Modulated/methods ; Radiotherapy/methods |
| مستخلص: | Machine- and patient-specific quality assurance (QA) is essential to ensure the safety and accuracy of radiotherapy. QA methods have become complex, especially in high-precision radiotherapy such as intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT), and various recommendations have been reported by AAPM Task Groups. With the widespread use of IMRT and VMAT, there is an emerging demand for increased operational efficiency. Artificial intelligence (AI) technology is quickly growing in various fields owing to advancements in computers and technology. In the radiotherapy treatment process, AI has led to the development of various techniques for automated segmentation and planning, thereby significantly enhancing treatment efficiency. Many new applications using AI have been reported for machine- and patient-specific QA, such as predicting machine beam data or gamma passing rates for IMRT or VMAT plans. Additionally, these applied technologies are being developed for multicenter studies. In the current review article, AI application techniques in machine- and patient-specific QA have been organized and future directions are discussed. This review presents the learning process and the latest knowledge on machine- and patient-specific QA. Moreover, it contributes to the understanding of the current status and discusses the future directions of machine- and patient-specific QA. (© The Author(s) 2024. Published by Oxford University Press on behalf of The Japanese Radiation Research Society and Japanese Society for Radiation Oncology.) |
| References: | Int J Radiat Oncol Biol Phys. 2006 Mar 15;64(4):1140-50. (PMID: 16198506) J Appl Clin Med Phys. 2023 Feb;24(2):e13898. (PMID: 36626026) Artif Intell Med. 2021 Nov;121:102193. (PMID: 34763808) Phys Med. 2020 May;73:57-64. (PMID: 32330812) Radiother Oncol. 2020 Dec;153:122-129. (PMID: 33039427) Front Oncol. 2019 Apr 12;9:269. (PMID: 31032229) Med Phys. 2020 Apr;47(4):1421-1430. (PMID: 31922604) Med Phys. 2018 Jul 31;:. (PMID: 30066388) Med Phys. 2020 Dec;47(12):6140-6150. (PMID: 33070336) Phys Med. 2021 Jul;87:136-143. (PMID: 33775567) Phys Med. 2021 Sep;89:306-316. (PMID: 34492498) Med Phys. 2019 Sep;46(9):3823-3832. (PMID: 31222758) Phys Med Biol. 2022 Jan 17;67(2):. (PMID: 34844219) Med Phys. 2022 Mar;49(3):1793-1802. (PMID: 35064567) Med Phys. 2020 Oct;47(10):4711-4720. (PMID: 33460182) Med Phys. 2021 Oct;48(10):e808-e829. (PMID: 34213772) Radiother Oncol. 2020 Dec;153:250-257. (PMID: 32712247) Med Phys. 2010 Feb;37(2):505-15. (PMID: 20229859) Med Phys. 2019 Feb;46(2):456-464. (PMID: 30548601) Med Phys. 2018 May;45(5):2243-2251. (PMID: 29500818) J Radiat Res. 2023 Jul 18;64(4):728-737. (PMID: 37177789) Radiother Oncol. 2018 Dec;129(3):421-426. (PMID: 29907338) Radiother Oncol. 2020 Dec;153:55-66. (PMID: 32920005) Phys Med. 2023 Jun;110:102593. (PMID: 37104920) Radiol Phys Technol. 2021 Sep;14(3):318-327. (PMID: 34254251) Ann N Y Acad Sci. 2017 Jan;1387(1):84-94. (PMID: 27627049) Phys Med Biol. 2023 Oct 05;68(19):. (PMID: 37703904) Med Phys. 2023 May;50(5):3137-3147. (PMID: 36621812) Int J Radiat Oncol Biol Phys. 2022 Aug 1;113(5):1091-1102. (PMID: 35533908) Med Phys. 2023 Apr;50(4):2488-2498. (PMID: 36609669) Med Phys. 2019 Jan;46(1):e1-e36. (PMID: 30367497) Radiother Oncol. 2021 Aug;161:230-240. (PMID: 34166717) Med Phys. 2013 Jul;40(7):071718. (PMID: 23822422) Med Phys. 2019 Apr;46(4):1914-1921. (PMID: 30734324) J Appl Clin Med Phys. 2021 Sep;22(9):20-36. (PMID: 34343412) Med Phys. 2016 Jul;43(7):4323. (PMID: 27370147) Med Phys. 2023 Feb;50(2):1205-1214. (PMID: 36342293) Med Phys. 2021 Mar;48(3):991-1002. (PMID: 33382467) Med Phys. 2008 Sep;35(9):4186-215. (PMID: 18841871) Clin Oncol (R Coll Radiol). 2022 Feb;34(2):74-88. (PMID: 34996682) Med Phys. 2019 May;46(5):2006-2014. (PMID: 30927253) Front Oncol. 2020 Oct 23;10:580919. (PMID: 33194711) Med Phys. 2018 Apr;45(4):e53-e83. (PMID: 29443390) Semin Radiat Oncol. 2022 Oct;32(4):421-431. (PMID: 36202444) Phys Imaging Radiat Oncol. 2022 Apr 20;22:36-43. (PMID: 35493850) Med Phys. 2014 Feb;41(2):021716. (PMID: 24506607) J Appl Clin Med Phys. 2023 Oct;24(10):e14055. (PMID: 37261720) Front Artif Intell. 2020 Sep 29;3:577620. (PMID: 33733216) J Nucl Med. 2020 Apr;61(4):488-495. (PMID: 32060219) Radiat Oncol. 2023 Sep 11;18(1):149. (PMID: 37697360) Med Phys. 2021 Jan;48(1):80-93. (PMID: 33128263) Med Phys. 2009 Sep;36(9):4197-212. (PMID: 19810494) J Radiat Res. 2024 Jan 19;65(1):1-9. (PMID: 37996085) Phys Med Biol. 2007 Nov 7;52(21):6511-24. (PMID: 17951859) Nat Methods. 2018 Jan;15(1):5-6. (PMID: 30100821) Med Phys. 2021 Mar;48(3):1003-1018. (PMID: 33368406) Med Phys. 2021 Oct;48(10):e830-e885. (PMID: 34036590) Radiol Phys Technol. 2020 Mar;13(1):6-19. (PMID: 31898014) J Appl Clin Med Phys. 2017 Sep;18(5):279-284. (PMID: 28815994) Phys Med Biol. 2015 Apr 7;60(7):2735-49. (PMID: 25768885) Semin Radiat Oncol. 2019 Jul;29(3):219-227. (PMID: 31027639) Radiother Oncol. 2022 Aug;173:1-9. (PMID: 35618099) J Appl Clin Med Phys. 2017 Sep;18(5):36-42. (PMID: 28661100) Phys Med Biol. 2022 Jul 27;67(15):. (PMID: 35803256) Comput Biol Med. 2018 Jul 1;98:126-146. (PMID: 29787940) J Appl Clin Med Phys. 2023 Dec;24(12):e14136. (PMID: 37633834) J Radiat Res. 2021 Sep 29;:. (PMID: 34590126) Med Phys. 2020 Jun;47(5):e168-e177. (PMID: 30768796) Mach Learn Sci Technol. 2021 Sep;2(3):. (PMID: 35967990) J Radiat Res. 2019 Jan 1;60(1):150-157. (PMID: 30247662) Front Oncol. 2023 Feb 28;13:1099994. (PMID: 36925935) Med Phys. 2021 Sep;48(9):4769-4783. (PMID: 34101848) |
| معلومات مُعتمدة: | 41-38 Casio Science Promotion Foundation; JP21K15782 JSPS KAKENHI |
| فهرسة مساهمة: | Keywords: artificial intelligence; machine learning; machine-specific quality assurance; patient-specific quality assurance |
| تواريخ الأحداث: | Date Created: 20240527 Date Completed: 20240722 Latest Revision: 20240724 |
| رمز التحديث: | 20240725 |
| مُعرف محوري في PubMed: | PMC11262865 |
| DOI: | 10.1093/jrr/rrae033 |
| PMID: | 38798135 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1349-9157 |
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| DOI: | 10.1093/jrr/rrae033 |