Impacts of lung and tumor volumes on lung dosimetry for nonsmall cell lung cancer
Autor: | Weijie Lei, Ruifen Cao, Jing Song, Jing Jia, Liqin Hu |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Oncology
medicine.medical_specialty Lung Neoplasms 87.55.dk medicine.medical_treatment 87.53.Kn Planning target volume 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Internal medicine Carcinoma Non-Small-Cell Lung 87.55.d Medicine Dosimetry Radiation Oncology Physics Humans Radiology Nuclear Medicine and imaging Lung volumes volumetric‐modulated arc therapy Lung cancer Instrumentation intensity‐modulated radiotherapy Lung Radiation business.industry Radiotherapy Planning Computer-Assisted Radiotherapy Dosage medicine.disease Tumor Burden Radiation therapy lung cancer medicine.anatomical_structure 030220 oncology & carcinogenesis Cohort Non small cell 87.55.x Radiotherapy Intensity-Modulated business Nuclear medicine |
Zdroj: | Journal of Applied Clinical Medical Physics |
ISSN: | 1526-9914 |
Popis: | The purpose of this study was to determine the impacts of lung and tumor volumes on normal lung dosimetry in three‐dimensional conformal radiotherapy (3DCRT), step‐and‐shoot intensity‐modulated radiotherapy (ssIMRT), and single full‐arc volumetric‐modulated arc therapy (VMAT) in treatment of nonsmall cell lung cancers (NSCLC). All plans were designed to deliver a total dose of 66 Gy in 33 fractions to PTV for the 32 NSCLC patients with various total (bilateral) lung volumes, planning target volumes (PTVs), and PTV locations. The ratio of the lung volume (total lung volume excluding the PTV volume) to the PTV volume (LTR) was evaluated to represent the impacts in three steps. (a) The least squares method was used to fit mean lung doses (MLDs) to PTVs or LTRs with power‐law function in the population cohort (N = 32). (b) The population cohort was divided into three groups by LTRs based on first step and then by PTVs, respectively. The MLDs were compared among the three techniques in each LTR group (LG) and each PTV group (PG). (c) The power‐law correlation was tested by using the adaptive radiation therapy (ART) planning data of individual patients in the individual cohort (N = 4). Different curves of power‐law function with high R2 values were observed between averaged LTRs and averaged MLDs for 3DCRT, ssIMRT, and VMAT, respectively. In the individual cohort, high R2 values of fitting curves were also observed in individual patients in ART, although the trend was highly patient‐specific. There was a more obvious correlation between LTR and MLD than that between PTV and MLD. |
Databáze: | OpenAIRE |
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