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Bai H, Song H, Li Q, Bai J, Wang R, Liu X, Chen F, Pan X. Application of dose-gradient function in reducing radiation induced lung injury in breast cancer radiotherapy. J Xray Sci Technol 2024; 32:415-426. [PMID: 38189733 DOI: 10.3233/xst-230198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
OBJECTIVE Try to create a dose gradient function (DGF) and test its effectiveness in reducing radiation induced lung injury in breast cancer radiotherapy. MATERIALS AND METHODS Radiotherapy plans of 30 patients after breast-conserving surgery were included in the study. The dose gradient function was defined as DGH=VDVp3, then the area under the DGF curve of each plan was calculated in rectangular coordinate system, and the minimum area was used as the trigger factor, and other plans were triggered to optimize for area reduction. The dosimetric parameters of target area and organs at risk in 30 cases before and after re-optimization were compared. RESULTS On the premise of ensuring that the target dose met the clinical requirements, the trigger factor obtained based on DGF could further reduce the V5, V10, V20, V30 and mean lung dose (MLD) of the ipsilateral lung in breast cancer radiotherapy, P < 0.01. And the D2cc and mean heart dose (MHD) of the heart were also reduced, P < 0.01. Besides, the NTCPs of the ipsilateral lung and the heart were also reduced, P < 0.01. CONCLUSION The trigger factor obtained based on DGF is efficient in reducing radiation induced lung injury in breast cancer radiotherapy.
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Affiliation(s)
- Han Bai
- Department of Radiation Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Cancer Center of Yunnan Province, Xishan District, Kunming, Yunnan, People's Republic of China
- Department of Physics and Astronomy, Yunnan University, Kunming, Yunnan
| | - Hui Song
- Department of Radiation Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Cancer Center of Yunnan Province, Xishan District, Kunming, Yunnan, People's Republic of China
| | - Qianyan Li
- Department of Radiation Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Cancer Center of Yunnan Province, Xishan District, Kunming, Yunnan, People's Republic of China
| | - Jie Bai
- Department of Radiation Oncology, Daqin Tumor Hospital, Guiyang, Guizhou, China
| | - Ru Wang
- Department of Radiation Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Cancer Center of Yunnan Province, Xishan District, Kunming, Yunnan, People's Republic of China
| | - Xuhong Liu
- Department of Radiation Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Cancer Center of Yunnan Province, Xishan District, Kunming, Yunnan, People's Republic of China
| | - Feihu Chen
- Department of Radiation Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Cancer Center of Yunnan Province, Xishan District, Kunming, Yunnan, People's Republic of China
| | - Xiang Pan
- Department of Radiation Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Cancer Center of Yunnan Province, Xishan District, Kunming, Yunnan, People's Republic of China
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