References
- Marks LB, Bentzen SM, Deasy JO. Radiation dose-volume effects in the lung. Int J Radiat Oncol Biol Phys. 2010;76(3 Suppl):S70–S76.
- De Ruysscher D, Faivre-Finn C, Moeller D, et al. European Organization for Research and Training of Cancer (EORTC) recommendations for planning and delivery of high-dose, high precision radiotherapy for lung cancer. Radiother Oncol. 2017;124(1):1–10.
- Hoffman EA, McLennan G. Assessment of the pulmonary structure-function relationship and clinical outcomes measures: quantitative volumetric CT of the lung. Acad Radiol. 1997;4(11):758–776.
- Seppenwoolde Y, Engelsman M, De Jaeger K, et al. Optimizing radiation treatment plans for lung cancer using lung perfusion information. Radiother Oncol. 2002;63(2):165–177.
- Ireland R, Tahir B, Wild J, et al. Functional image-guided radiotherapy planning for normal lung avoidance. Clin Oncol (R Coll Radiol). 2016;28(11):695–707.
- Lambin P, Petit SF, Aerts H, et al. The ESTRO Breur Lecture 2009. From population to voxel-based radiotherapy: exploiting intra-tumour and intra-organ heterogeneity for advanced treatment of non-small cell lung cancer. Radiother Oncol. 2010;96(2):145–152.
- Marks L, Spencer D, Bentel G, et al. The utility of SPECT lung perfusion scans in minimizing and assessing the physiologic consequences of thoracic irradiation. Int J Radiat Oncol Biol Phys. 1993;26(4):659–668.
- Siva S, Devereux T, Ball D, et al. Ga-68 MAA perfusion 4DPET/CT scanning allows for functional lung avoidance using conformal radiation therapy planning. Technol Cancer Res Treat. 2016;15(1):114–121.
- van Beek E, Wild J, Kauczor H, et al. Functional MRI of the lung using hyperpolarized 3-helium gas. J Magn Reson Imaging 2004;20(4):540.
- Reinhardt J, Ding K, Cao K, et al. Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation. Med Image Anal. 2008;12(6):752–763.
- Yamamoto T, Kabus S, Lorenz C, et al. Pulmonary ventilation imaging based on 4-dimensional computed tomography: comparison with pulmonary function tests and SPECT ventilation images. Int J Radiat Oncol Biol Phys. 2014;90(2):414–422.
- Castillo R, Castillo E, Martinez J, et al. Ventilation from four-dimensional computed tomography: density versus Jacobian methods. Phys Med Biol. 2010;55(16):4661–4685.
- Yamamoto T, Kabus S, von Berg J, et al. Impact of four-dimensional computed tomography pulmonary ventilation imaging-based functional avoidance for lung cancer radiotherapy. Int J Radiat Oncol Biol Phys. 2011;79(1):279–288.
- St-Hilaire J, Lavoie C, Dagnault A, et al. Functional avoidance of lung in plan optimization with an aperture-based inverse planning system. Radiother Oncol. 2011;100(3):390–395.
- Siva S, Thomas R, Callahan J, et al. High-resolution pulmonary ventilation and perfusion PET/CT allows for functionally adapted intensity-modulated radiotherapy in lung cancer. Radiother Oncol. 2015;115(2):157–162.
- Seppenwoolde Y, Muller SH, Theuws JC, et al. Radiation dose-effect relations and local recovery in perfusion for patients with non-small-cell lung cancer. Int J Radiat Oncol Biol Phys. 2000;47(3):681–690.
- Siva S, Hardcastle N, Kron T, et al. Ventilation/perfusion positron emission tomography-based assessment of radiation injury to lung. Int J Radiat Oncol Biol Phys. 2015;93(2):408–417.
- Defraene G, van Elmpt W, Crijns W, et al. CT characteristics allow identification of patient-specific susceptibility for radiation-induced lung damage. Radiother Oncol. 2015;117(1):29–35.
- Palma DA, van Sörnsen de Koste J, Verbakel W, et al. Lung density changes after stereotactic radiotherapy: a quantitative analysis in 50 patients. Int J Radiat Oncol Biol Phys. 2011;81(4):974–978.
- Diot Q, Kavanagh B, Schefter T, et al. Regional normal lung tissue density changes in patients treated with stereotactic body radiation therapy for lung tumors. Int J Radiat Oncol Biol Phys. 2012;84(4):1024–1030.
- Defraene G, van Elmpt W, Crijns W, et al. Regional variability in radiation-induced lung damage can be predicted by baseline CT numbers. Radiother Oncol. 2017;122(2):300–306.
- Ghobadi G, Wiegman EM, Langendijk JA, et al. A new CT-based method to quantify radiation-induced lung damage in patients. Radiother Oncol. 2015;117(1):4–8.
- Bellomi M, Rampinelli C, Veronesi G, et al. Evolution of emphysema in relation to smoking. Eur Radiol. 2010;20(2):286–292.
- Bentzen SM, Saunders MI, Dische S. From CHART to CHARTWEL in non-small cell lung cancer: clinical radiobiological modeling of the expected change in outcome. Clin Oncol. 2002;14(5):372–381.
- Yamamoto T, Kabus S, Bal M, et al. The first patient treatment of computed tomography functional image-guided radiotherapy for lung cancer. Radiother Oncol. 2016;118(2):227–231.
- Mets OM, Buckens CF, Zanen P, et al. Identification of chronic obstructive pulmonary disease in lung cancer screening computed tomography scans. JAMA. 2011;306(16):1775–1781.
- Farr KP, Kallehauge JF, Moller DS, et al. Inclusion of functional information from perfusion SPECT improves predictive value of dose-volume parameters in lung toxicity outcome after radiotherapy for non-small lung cancer: a prospective study. Radiother Oncol. 2015;117(1):9–16.
- Kimura T, Nishibuchi I, Murakami Y, et al. Functional image-guided radiotherapy planning in respiratory-gated intensity-modulated radiotherapy for lung cancer patients with chronic obstructive pulmonary disease. Int J Radiat Oncol Biol Phys. 2012;82:e633–e670.
- Mihaylov I. New approach in lung cancer radiotherapy offers better normal tissue sparing. Radiother Oncol. 2016;121(2):316–321.
- Bertelsen A, Schytte T, Bentzen SM, et al. Radiation dose response of normal lung assessed by Cone Beam CT – a potential tool for biologically adaptive radiation therapy. Radiother Oncol. 2011;100(3):351–355.
- Defraene G, La Fontaine M, van Kranen S, et al. Radiation-induced lung density changes on CT scan for NSCLC: no impact of dose-escalation level or volume. Int J Radiat Oncol Biol Phys. 2018;102(3):642–650.
- De Ruysscher D, Sharifi H, Defraene G, et al. Quantification of radiation-induced lung damage with CT scans: the possible benefit for radiogenomics. Acta Oncol. 2013;52(7):1405–1410.
- De Ruysscher D, Defraene G, Ramaekers BLT, et al. Optimal design and patient selection for interventional trials using radiogenomic biomarkers: a REQUITE and Radiogenomics consortium statement. Radiother Oncol. 2016;121(3):440–446.
- Bradley J, Hope A, El Naqa I, et al. A nomogram to predict radiation pneumonitis, derived from a combined analysis of RTOG 9311 and institutional data. Int J Radiat Oncol Biol Phys. 2007;69 (4):985–992.
- Vogelius IR, Bentzen SM. A literature-based meta-analysis of clinical risk factors for development of radiation induced pneumonitis. Acta Oncol. 2012;51(8):975–983.
- De Ruysscher D, Dehing C, Yu S, et al. Dyspnea evolution after high-dose radiotherapy in patients with non-small cell lung cancer. Radiother Oncol. 2009;91(3):353–359.
- Huang EX, Hope AJ, Lindsay PE, et al. Heart irradiation as a risk factor for radiation pneumonitis. Acta Oncol. 2011;50(1):51–60.