{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T20:21:45Z","timestamp":1770063705550,"version":"3.49.0"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T00:00:00Z","timestamp":1722297600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T00:00:00Z","timestamp":1722297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100003970","name":"Isfahan University of Medical Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003970","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Phys Eng Sci Med"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s13246-024-01463-4","type":"journal-article","created":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T08:49:17Z","timestamp":1722934157000},"page":"1513-1524","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Dosiomics-based detection of dose distribution variations in helical tomotherapy for prostate cancer patients: influence of treatment plan parameters"],"prefix":"10.1007","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8876-0087","authenticated-orcid":false,"given":"Marziyeh","family":"Mirzaeiyan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Akhavan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simin","family":"Hemati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahnaz","family":"Etehadtavakol","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alireza","family":"Amouheidari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Atoosa","family":"Adibi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hossein","family":"Khanahmad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zahra","family":"Sharifonnasabi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9023-1923","authenticated-orcid":false,"given":"Parvaneh","family":"Shokrani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,30]]},"reference":[{"key":"1463_CR1","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1093\/jrr\/rry042","volume":"59","author":"H Shimizu","year":"2018","unstructured":"Shimizu H, Sasaki K, Kubota T, Fukuma H, Aoyama T, Iwata T, Tachibana H, Kodaira T (2018) Interfacility variation in treatment planning parameters in tomotherapy: field width, pitch, and modulation factor. J Radiat Res 59:664\u2013668. https:\/\/doi.org\/10.1093\/jrr\/rry042","journal-title":"J Radiat Res"},{"key":"1463_CR2","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1120\/jacmp.v16i5.5282","volume":"16","author":"D Binny","year":"2015","unstructured":"Binny D, Lancaster CM, Harris S, Sylvander SR (2015) Effects of changing modulation and pitch parameters on tomotherapy delivery quality assurance plans. J Appl Clin Med Phys 16:87\u2013105. https:\/\/doi.org\/10.1120\/jacmp.v16i5.5282","journal-title":"J Appl Clin Med Phys"},{"key":"1463_CR3","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.ejmp.2012.03.007","volume":"29","author":"M Sk\u00f3rska","year":"2013","unstructured":"Sk\u00f3rska M, Piotrowski T (2013) Optimization of treatment planning parameters used in tomotherapy for prostate cancer patients. Phys Medica 29:273\u2013285. https:\/\/doi.org\/10.1016\/j.ejmp.2012.03.007","journal-title":"Phys Medica"},{"key":"1463_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13014-015-0497-2","volume":"10","author":"G De Kerf","year":"2015","unstructured":"De Kerf G, Van Gestel D, Mommaerts L, Van den Weyngaert D, Verellen D (2015) Evaluation of the optimal combinations of modulation factor and pitch for Helical TomoTherapy plans made with TomoEdge using Pareto optimal fronts. Radiat Oncol 10:1\u20137. https:\/\/doi.org\/10.1186\/s13014-015-0497-2","journal-title":"Radiat Oncol"},{"key":"1463_CR5","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1002\/acm2.12989","volume":"21","author":"W Nobnop","year":"2020","unstructured":"Nobnop W, Phakoetsuk P, Chitapanarux I, Tippanya D, Khamchompoo D (2020) Dosimetric comparison of TomoDirect, helical tomotherapy, and volumetric modulated arc therapy for postmastectomy treatment. J Appl Clin Med Phys 21:155\u2013162. https:\/\/doi.org\/10.1002\/acm2.12989","journal-title":"J Appl Clin Med Phys"},{"key":"1463_CR6","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.ijrobp.2021.07.1714","volume":"112","author":"Y Murakami","year":"2022","unstructured":"Murakami Y, Soyano T, Kozuka T, Ushijima M, Koizumi Y, Miyauchi H, Kaneko M, Nakano M, Kamima T, Hashimoto T, Yoshioka Y, Oguchi M (2022) Dose-based radiomic analysis (Dosiomics) for intensity modulated radiation therapy in patients with prostate cancer: correlation between planned dose distribution and biochemical failure. Int J Radiat Oncol Biol Phys 112:247\u2013259. https:\/\/doi.org\/10.1016\/j.ijrobp.2021.07.1714","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"1463_CR7","doi-asserted-by":"publisher","first-page":"1781","DOI":"10.1002\/mp.14769","volume":"48","author":"T Adachi","year":"2021","unstructured":"Adachi T, Nakamura M, Shintani T, Mitsuyoshi T, Kakino R, Ogata T, Ono T, Tanabe H, Kokubo M, Sakamoto T, Matsuo Y, Mizowaki T (2021) Multi-institutional dose-segmented dosiomic analysis for predicting radiation pneumonitis after lung stereotactic body radiation therapy. Med Phys 48:1781\u20131791. https:\/\/doi.org\/10.1002\/mp.14769","journal-title":"Med Phys"},{"key":"1463_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fonc.2019.00269","volume":"9","author":"B Liang","year":"2019","unstructured":"Liang B, Yan H, Tian Y, Chen X, Yan L, Zhang T, Zhou Z, Wang L, Dai J (2019) Dosiomics: extracting 3D spatial features from dose distribution to predict incidence of radiation pneumonitis. Front Oncol 9:1\u20137. https:\/\/doi.org\/10.3389\/fonc.2019.00269","journal-title":"Front Oncol"},{"key":"1463_CR9","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/j.ejmp.2021.08.009","volume":"89","author":"W Ren","year":"2021","unstructured":"Ren W, Liang B, Sun C, Wu R, Men K, Xu Y, Han F, Yi J, Qu Y, Dai J (2021) Dosiomics-based prediction of radiation-induced hypothyroidism in nasopharyngeal carcinoma patients. Phys Medica 89:219\u2013225. https:\/\/doi.org\/10.1016\/j.ejmp.2021.08.009","journal-title":"Phys Medica"},{"key":"1463_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fonc.2023.1129918","volume":"13","author":"H Liu","year":"2023","unstructured":"Liu H, Zhao D, Huang Y, Li C, Dong Z, Tian H, Sun Y, Lu Y, Chen C, Wu H, Zhang Y (2023) Comprehensive prognostic modeling of locoregional recurrence after radiotherapy for patients with locoregionally advanced hypopharyngeal squamous cell carcinoma. Front Oncol 13:1\u201310. https:\/\/doi.org\/10.3389\/fonc.2023.1129918","journal-title":"Front Oncol"},{"key":"1463_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13014-021-01950-y","volume":"16","author":"C Puttanawarut","year":"2021","unstructured":"Puttanawarut C, Sirirutbunkajorn N, Khachonkham S, Pattaranutaporn P, Wongsawat Y (2021) Biological dosiomic features for the prediction of radiation pneumonitis in esophageal cancer patients. Radiat Oncol 16:1\u20139. https:\/\/doi.org\/10.1186\/s13014-021-01950-y","journal-title":"Radiat Oncol"},{"key":"1463_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.adro.2023.101227","volume":"8","author":"L Sun","year":"2023","unstructured":"Sun L, Burke B, Quon H, Swallow A, Kirkby C, Smith W (2023) Do dosiomic features extracted from planned 3-dimensional dose distribution improve biochemical failure-free survival prediction: an analysis based on a large multi-institutional data set. Adv Radiat Oncol 8:101227. https:\/\/doi.org\/10.1016\/j.adro.2023.101227","journal-title":"Adv Radiat Oncol"},{"key":"1463_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fonc.2018.00035","volume":"8","author":"HS Gabry\u015b","year":"2018","unstructured":"Gabry\u015b HS, Buettner F, Sterzing F, Hauswald H, Bangert M (2018) Design and selection of machine learning methods using radiomics and dosiomics for normal tissue complication probability modeling of xerostomia. Front Oncol 8:1\u201320. https:\/\/doi.org\/10.3389\/fonc.2018.00035","journal-title":"Front Oncol"},{"key":"1463_CR14","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1093\/bjr\/tqad004","volume":"97","author":"Y Murakami","year":"2024","unstructured":"Murakami Y, Kawahara D, Soyano T, Kozuka T, Takahashi Y, Miyake K, Kashihara K, Kashihara T, Kamima T, Oguchi M, Murakami Y, Yoshioka Y, Nagata Y (2024) Dosiomics for intensity-modulated radiotherapy in patients with prostate cancer: survival analysis stratified by baseline prostate-specific antigen and Gleason grade group in a 2-institutional retrospective study. Br J Radiol 97:142\u2013149. https:\/\/doi.org\/10.1093\/bjr\/tqad004","journal-title":"Br J Radiol"},{"key":"1463_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.oraloncology.2020.104625","volume":"104","author":"A Wu","year":"2020","unstructured":"Wu A, Li Y, Qi M, Lu X, Jia Q, Guo F, Dai Z, Liu Y, Chen C, Zhou L, Song T (2020) Dosiomics improves prediction of locoregional recurrence for intensity modulated radiotherapy treated head and neck cancer cases. Oral Oncol 104:104625. https:\/\/doi.org\/10.1016\/j.oraloncology.2020.104625","journal-title":"Oral Oncol"},{"key":"1463_CR16","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.ejmp.2020.07.022","volume":"77","author":"L Placidi","year":"2020","unstructured":"Placidi L, Lenkowicz J, Cusumano D, Boldrini L, Dinapoli N, Valentini V (2020) Stability of dosomics features extraction on grid resolution and algorithm for radiotherapy dose calculation. Phys Medica 77:30\u201335. https:\/\/doi.org\/10.1016\/j.ejmp.2020.07.022","journal-title":"Phys Medica"},{"key":"1463_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/acm2.13904","volume":"24","author":"L Sun","year":"2023","unstructured":"Sun L, Smith W, Kirkby C (2023) Stability of dosiomic features against variations in dose calculation: an analysis based on a cohort of prostate external beam radiotherapy patients. J Appl Clin Med Phys 24:1\u201314. https:\/\/doi.org\/10.1002\/acm2.13904","journal-title":"J Appl Clin Med Phys"},{"key":"1463_CR18","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.ejmp.2021.09.010","volume":"90","author":"L Placidi","year":"2021","unstructured":"Placidi L, Cusumano D, Lenkowicz J, Boldrini L, Valentini V (2021) On dose cube pixel spacing pre-processing for features extraction stability in dosiomic studies. Phys Medica 90:108\u2013114. https:\/\/doi.org\/10.1016\/j.ejmp.2021.09.010","journal-title":"Phys Medica"},{"key":"1463_CR19","doi-asserted-by":"publisher","DOI":"10.3390\/cancers13153835","author":"L Placidi","year":"2021","unstructured":"Placidi L, Gioscio E, Garibaldi C, Rancati T, Fanizzi A, Maestri D, Massafra R, Menghi E, Mirandola A, Reggiori G, Sghedoni R, Tamborra P, Comi S, Lenkowicz J, Boldrini L, Avanzo M (2021) A multicentre evaluation of dosiomics features reproducibility, stability and sensitivity. Cancers (Basel). https:\/\/doi.org\/10.3390\/cancers13153835","journal-title":"Cancers (Basel)"},{"key":"1463_CR20","unstructured":"Mirzaeiyan M, Hemati S, Akhavan A, Etehadtavakol M, Sharifonnasabi Z, mouheidari A, Adibi A, Khanahmad H, Shokrani P (2024) Evaluation of Variability of Dosiomics Features with Varying Prescribed Dose in Prostate Cancer. J Biomed Phys Eng"},{"key":"1463_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fonc.2022.726896","volume":"12","author":"C Puttanawarut","year":"2022","unstructured":"Puttanawarut C, Sirirutbunkajorn N, Tawong N, Khachonkham S, Pattaranutaporn P, Wongsawat Y (2022) Impact of interfractional error on dosiomic features. Front Oncol 12:1\u20138. https:\/\/doi.org\/10.3389\/fonc.2022.726896","journal-title":"Front Oncol"}],"container-title":["Physical and Engineering Sciences in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13246-024-01463-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13246-024-01463-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13246-024-01463-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T05:45:26Z","timestamp":1735019126000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13246-024-01463-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,30]]},"references-count":21,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["1463"],"URL":"https:\/\/doi.org\/10.1007\/s13246-024-01463-4","relation":{},"ISSN":["2662-4729","2662-4737"],"issn-type":[{"value":"2662-4729","type":"print"},{"value":"2662-4737","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,30]]},"assertion":[{"value":"28 August 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 July 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 July 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This article has no conflict of interest and this issue is approved by the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"The study was performed following the Helsinki Declaration on ethical principles for medical research involving human subjects and was approved by the Institutional Committee for Ethics in Biomedical Research of the Isfahan University of Medical Sciences (approval ID: IR.MUI.MED.REC.1399.862).","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}