scholarly journals Internal Motion Estimation by Internal-external Motion Modeling for Lung Cancer Radiotherapy

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Haibin Chen ◽  
Zichun Zhong ◽  
Yiwei Yang ◽  
Jiawei Chen ◽  
Linghong Zhou ◽  
...  
2015 ◽  
Author(s):  
Salam Dhou ◽  
Martina Hurwitz ◽  
Pankaj Mishra ◽  
Ross Berbeco ◽  
John Lewis

2012 ◽  
Vol 57 (24) ◽  
pp. 8201-8215 ◽  
Author(s):  
Bin Dong ◽  
Yan Jiang Graves ◽  
Xun Jia ◽  
Steve B Jiang

2017 ◽  
Vol 35 (15) ◽  
pp. 1641-1649 ◽  
Author(s):  
Carolyn Taylor ◽  
Candace Correa ◽  
Frances K. Duane ◽  
Marianne C. Aznar ◽  
Stewart J. Anderson ◽  
...  

Purpose Radiotherapy reduces the absolute risk of breast cancer mortality by a few percentage points in suitable women but can cause a second cancer or heart disease decades later. We estimated the absolute long-term risks of modern breast cancer radiotherapy. Methods First, a systematic literature review was performed of lung and heart doses in breast cancer regimens published during 2010 to 2015. Second, individual patient data meta-analyses of 40,781 women randomly assigned to breast cancer radiotherapy versus no radiotherapy in 75 trials yielded rate ratios (RRs) for second primary cancers and cause-specific mortality and excess RRs (ERRs) per Gy for incident lung cancer and cardiac mortality. Smoking status was unavailable. Third, the lung or heart ERRs per Gy in the trials and the 2010 to 2015 doses were combined and applied to current smoker and nonsmoker lung cancer and cardiac mortality rates in population-based data. Results Average doses from 647 regimens published during 2010 to 2015 were 5.7 Gy for whole lung and 4.4 Gy for whole heart. The median year of irradiation was 2010 (interquartile range [IQR], 2008 to 2011). Meta-analyses yielded lung cancer incidence ≥ 10 years after radiotherapy RR of 2.10 (95% CI, 1.48 to 2.98; P < .001) on the basis of 134 cancers, indicating 0.11 (95% CI, 0.05 to 0.20) ERR per Gy whole-lung dose. For cardiac mortality, RR was 1.30 (95% CI, 1.15 to 1.46; P < .001) on the basis of 1,253 cardiac deaths. Detailed analyses indicated 0.04 (95% CI, 0.02 to 0.06) ERR per Gy whole-heart dose. Estimated absolute risks from modern radiotherapy were as follows: lung cancer, approximately 4% for long-term continuing smokers and 0.3% for nonsmokers; and cardiac mortality, approximately 1% for smokers and 0.3% for nonsmokers. Conclusion For long-term smokers, the absolute risks of modern radiotherapy may outweigh the benefits, yet for most nonsmokers (and ex-smokers), the benefits of radiotherapy far outweigh the risks. Hence, smoking can determine the net effect of radiotherapy on mortality, but smoking cessation substantially reduces radiotherapy risk.


2014 ◽  
Vol 30 ◽  
pp. e93-e94 ◽  
Author(s):  
Fatma Rahma ◽  
Wiviann Ottosson ◽  
Claus F. Behrens ◽  
David Sjöström ◽  
Patrik Sibolt

2014 ◽  
Vol 53 (04) ◽  
pp. 257-263 ◽  
Author(s):  
R. Werner ◽  
M. Blendowski ◽  
J. Ortmüller ◽  
H. Handels ◽  
M. Wilms

SummaryObjectives: A major problem associated with the irradiation of thoracic and abdominal tumors is respiratory motion. In clinical practice, motion compensation approaches are frequently steered by low-dimensional breathing signals (e.g., spirometry) and patient-specific correspondence models, which are used to estimate the sought internal motion given a signal measurement. Recently, the use of multidimensional signals derived from range images of the moving skin surface has been proposed to better account for complex motion patterns. In this work, a simulation study is carried out to investigate the motion estimation accuracy of such multidimensional signals and the influence of noise, the signal dimensionality, and different sampling patterns (points, lines, regions).Methods: A diffeomorphic correspondence modeling framework is employed to relate multidimensional breathing signals derived from simulated range images to internal motion patterns represented by diffeomorphic non-linear transformations. Furthermore, an automatic approach for the selection of optimal signal combinations/patterns within this framework is presented.Results: This simulation study focuses on lung motion estimation and is based on 28 4D CT data sets. The results show that the use of multidimensional signals instead of one-dimensional signals significantly improves the motion estimation accuracy, which is, however, highly affected by noise. Only small differences exist between different multidimensional sampling patterns (lines and regions). Automatically determined optimal combinations of points and lines do not lead to accuracy improvements compared to results obtained by using all points or lines.Conclusions: Our results show the potential of multidimensional breathing signals derived from range images for the model-based estimation of respiratory motion in radiation therapy.


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