| Ying Shao,Fuli Zhang,Shi Wang,Weidong Xu,Jing Jiang. Estimation of the effect of target and normal tissue sparing based on equivalent uniform dose-based optimization in hypofractionated radiotherapy for lung cancer. Oncol Transl Med, 2019, 5: 197-203. |
| Estimation of the effect of target and normal tissue sparing based on equivalent uniform dose-based optimization in hypofractionated radiotherapy for lung cancer |
| Received:June 14, 2019 Revised:November 13, 2019 |
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| KeyWord:non-small cell lung cancer (NSCLC); equivalent uniform dose (EUD); hypofractionated radiotherapy; plan optimization |
| Author Name | Affiliation | Postcode | | Ying Shao | Deparment of Radiotherapy, The Seventh Medical Center, PLA General Hospital/Beijing Tsinghua Changgeng Hospital affiliated to Tsinghua University | 102218 | | Fuli Zhang | Department of Radiotherapy, The Seventh Medical Center, PLA General Hospital | 100700 | | Shi Wang | Department of Engineering Physics, Tsinghua University | 100084 | | Weidong Xu | Department of Radiotherapy, The Seventh Medical Center, PLA General Hospital | 100700 | | Jing Jiang | Deparment of Radiotherapy, The Seventh Medical Center, PLA General Hospital/Beijing Tsinghua Changgeng Hospital affiliated to Tsinghua University | 102218 |
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| Abstract: |
| Objective This study aims to investigate the dosimetric differences among four planning methods of
physical and biological optimization in hypofractionated radiation therapy for non-small cell lung cancer
(NSCLC).
Methods Ten NSCLC patients receiving radiation therapy were chosen for this retrospective study.
Volumetric modulated arc treatment plans for each patient were remade with dose-volume (DV) functions,
biological-physical functions, and biological functions, using the same constraint parameters during
optimization. The dosimetric differences between the four types of plans were calculated and analyzed.
Results For the target, equivalent uniform dose (EUD) of the EUD and EUD + DV groups was
approximately 2.8%–3.6% and 3.2%–3.7% higher than those of the DV and DV + EUD groups, respectively.
The average tumor control probability (TCP) of the EUD and EUD + DV groups was also significantly higher
than those of the other two groups (P < 0.05). The difference in heterogeneity index (HI) among the four
groups was also statistically significant (P < 0.05), while the difference of conformity index (CI) was not
significant (P > 0.05). For the organs at risk, the differences of EUD, V5, V10, V20, V30 of normal lung tissues
were not statistically significant (P > 0.05); however, the mean lung dose of the EUD and EUD + DV groups
was slightly lower than those of the other two groups.
Conclusion The biological optimization method has obvious advantages of improving EUD and TCP of
the target, while decreasing the exposed dose of normal lung. This result is meaningful in choosing plan
optimization methods in routine work. |
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