1. Dosimetric factors and Lyman normal-tissue complication modelling analysis for predicting radiation-induced lung injury in postoperative breast cancer radiotherapy: a prospective study
- Author
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Ying-Jie Zi, Zhi-Rui Zhou, Shi-Xiong Liang, Xiao-Dong He, Qing Han, and Nu-Yun Cao
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Adult ,Normal tissue ,Breast Neoplasms ,Lung injury ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,breast cancer ,0302 clinical medicine ,Breast cancer ,normal tissue complication probability ,medicine ,Humans ,Postoperative Period ,Prospective Studies ,intensity modulated radiotherapy ,radiation-induced lung injury ,Radiation Injuries ,Radiometry ,Prospective cohort study ,Aged ,Neoplasm Staging ,business.industry ,Cancer ,Radiotherapy Dosage ,Lung Injury ,Middle Aged ,Prognosis ,medicine.disease ,Combined Modality Therapy ,ROC Curve ,Oncology ,Radiation-induced lung injury ,030220 oncology & carcinogenesis ,Female ,Radiotherapy, Intensity-Modulated ,Intensity modulated radiotherapy ,Clinical Research Paper ,Nuclear medicine ,business ,Complication ,Follow-Up Studies - Abstract
// Zhi-Rui Zhou 1,2,3,* , Qing Han 3,* , Shi-Xiong Liang 3,4 , Xiao-Dong He 4 , Nu-Yun Cao 5 and Ying-Jie Zi 3 1 Department of Radiation Oncology, Fudan University, Shanghai Cancer Center, Shanghai, P.R.China 2 Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, P.R.China 3 Department of Radiation Oncology, Cancer Hospital of Guangxi Medical University, Nanning, P.R.China 4 Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, P.R.China 5 College of Mathematics and Information Science, Guangxi University, Nanning, P.R.China * These authors have contributed equally to this paper Correspondence to: Shi-Xiong Liang, email: // Keywords : intensity modulated radiotherapy; normal tissue complication probability; radiation-induced lung injury; breast cancer Received : September 16, 2016 Accepted : October 24, 2016 Published : October 28, 2016 Abstract To investigate the relationship between dosimetric factors, including Lyman normal-tissue complication (NTCP) parameters and radiation-induced lung injury (RILI), in postoperative breast cancer patients treated by intensity modulated radiotherapy (IMRT). 109 breast cancer patients who received IMRT between January 2012 and December 2013 were prospectively enrolled. A maximum likelihood analysis yielded the best estimates for Lyman NTCP parameters. Ten patients were diagnosed with RILI (primarily Grade 1 or Grade 2 RILI); the rate of RILI was 9.17% (10/109). Multivariate analysis demonstrated that ipsilateral lung V 20 was an independent predictor ( P =0.001) of RILI. Setting V 20 =29.03% as the cut-off value, the prediction of RILI achieved high accuracy (94.5%), with a sensitivity of 80% and specificity of 96%. The NTCP model parameters for 109 patients were m=0.437, n =0.912, and TD 50 (1)=17.211 Gy. The sensitivity of the modified Lyman NTCP model to predict the RILI was 90% (9/10), the specificity was 69.7% (69/99), and the accuracy was 71.6% (78/109). The RILI rate of the NTCP 9.62% in patients with breast cancer was 23.08% (9/39), ( P =0.001). In conclusion, V 20 is an independent predictive factor for RILI in patients with breast cancer treated by IMRT; V 20 =29.03% could be a useful dosimetric parameter to predict the risk of RILI. The Lyman NTCP model parameters of the new value (m=0.437, n =0.912, TD50 (1) =17.211 Gy) can be used as an effective biological index to evaluate the risk of RILI.
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- 2016