Construction of Prediction Model of Radiotherapy Set-Up Errors in Patients with Lung Cancer.
Objective. This study intends to construct an error distribution prediction model and analyze its parameters and analyzes the boundary size of CTV extension to PTV, so as to provide a reference for lung cancer patients to control clinical set-up errors and radiotherapy planning. Methods. The prior S...
| Publicado en: | BioMed Research International pp. 1 - 7 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
6/25/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157685402&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157685402 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 6/25/2022 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 157685402 157685402 157685402 10.1155/2022/5642529 157685402 ppf: 1 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Construction of Prediction Model of Radiotherapy Set-Up Errors in Patients with Lung Cancer. aug: au: Yang, Fan Li, Xinxia affil: School of Nuclear Science and Technology, University of South China, Hengyang, Hunan Province 421001, China sug: subj: Lung Neoplasms Radiotherapy Prediction Models Treatment Errors Human Theory Construction ab: Objective. This study intends to construct an error distribution prediction model and analyze its parameters and analyzes the boundary size of CTV extension to PTV, so as to provide a reference for lung cancer patients to control clinical set-up errors and radiotherapy planning. Methods. The prior SBRT set-up error data of 50 patients with lung cancer treated by medical linear accelerator were selected, the Gaussian mixture model was adopted to construct the error distribution prediction model, and the model parameters were solved, based on which the emission boundary from CTV to PTV was calculated. Results. According to the analysis of the model parameters, the spatial distribution of set-up errors is mainly concentrated in the direction of four central points (μ1 ~ μ4), and the error is smaller in the Vrt direction (-0.991~2.808 mm) and Lat direction (-0.447~1.337 mm) and larger in the Lng direction (-1.065~4,463 mm). The possibility of offset of set-up errors in μ2 and μ3 direction (0.4440, 02198) is greater than that of μ1 and μ4 (0.1767, 0.1595). The standard deviation of set-up errors can reach 0.538 mm. The theoretical expansion boundary of CTV to PTV in Vrt, Lng, and Lat can be calculated as 1.7963 mm, 2.3749 mm, and 0.6066 mm. Conclusion. The GMM Gaussian mixture model can quantitatively describe and predict the set-up errors distribution of lung cancer patients and can obtain the emission boundary of CTV to PTV, which provides a reference for radiotherapy set-up errors control and tumor planning target expansion of lung cancer patients without SBRT. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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