References
- [1] Rancati T, Wennberg B, Lind P, et al. Early clinical and radiological pulmonary complications following breast cancer radiation therapy: NTCP fit with four different models. Radiother Oncol. 2007;82(3):308-316.10.1016/j.radonc.2006.12.001
- [2] Lind PA, Wennberg B, Gagliardi G, Fornander T. Pulmonary complications following different radiotherapy techniques for breast cancer, and the association to irradiated lung volume and dose. Breast Cancer Res Treat. 2001;68(3):199-210.10.1023/A:1012292019599
- [3] Johansson S, Bjermer L, Franzen L, Henriksson R. Effects of ongoing smoking on the development of radiation-induced pneumonitis in breast cancer and oesophagus cancer patients. Radiother Oncol. 1998;49(1):41-47.10.1016/S0167-8140(98)00064-4
- [4] Fragkandrea I, Kouloulias V, Mavridis P, et al. Radiation induced pneumonitis following whole breast radiotherapy treatment in early breast cancer patients treated with breast conserving surgery: a single institution study. Hippokratia. 2013;17(3):233-238.
- [5] Taylor ME, Perez CA, Halverson KJ, et al. Factors influencing cosmetic results after conservation therapy for breast cancer. Int J Radiat Oncol Biol Phys. 1995;31(4):753-764.10.1016/0360-3016(94)00480-3
- [6] Wang S, Liao Z, Wei X, et al. Analysis of clinical and dosimetric factors associated with treatment-related pneumonitis (TRP) in patients with non–small-cell lung cancer (NSCLC) treated with concurrent chemotherapy and three-dimensional conformal radiotherapy (3D-CRT). Int J Radiat Oncol Biol Phys. 2006;66(5):1399-1407.10.1016/j.ijrobp.2006.07.133716997503
- [7] Xu C-J, van der Schaaf A, Van’t Veld AA, et al. Statistical validation of normal tissue complication probability models. Int J Radiat Oncol Biol Phys. 2012;84(1):e123-e129.10.1016/j.ijrobp.2012.02.02222541961
- [8] Xu C-J, van der Schaaf A, Schilstra C, et al. Impact of statistical learning methods on the predictive power of multivariate normal tissue complication probability models. Int J Radiat Oncol Biol Phys. 2012;82(4):e677-e584.10.1016/j.ijrobp.2011.09.03622245199
- [9] Lee T-F, Chao P-J, Chang L, et al. Developing multivariable normal tissue complication probability model to predict the incidence of symptomatic radiation pneumonitis among breast cancer patients. PloS one. 2015;10(7):e0131736.10.1371/journal.pone.0131736449261726147496
- [10] Lee T-F, Liou M-H, Huang Y-J, et al. LASSO NTCP predictors for the incidence of xerostomia in patients with head and neck squamous cell carcinoma and nasopharyngeal carcinoma. Sci Rep. 2014;4:6217.10.1038/srep06217
- [11] Khan FM, Gerbi BJ. Treatment planning in radiation oncology: Wolters Kluwer Health/Lippincott Williams & Wilkins; 2012.
- [12] Hasanabdali M, Khoshgard K, SedighiPashaki A, et al. Prediction of Lung Tissue Damage by Evaluating Clinical and Dosimetric Parameters in Breast Cancer Patients. J Mazandaran Univ Med Sci. 2016;26(142):40-49.
- [13] Sánchez-Nieto B, Goset KC, Caviedes I, et al. Predictive models for pulmonary function changes after radiotherapy for breast cancer and lymphoma. Int J Radiat Oncol Biol Phys. 2012;82(2):e257-e264.10.1016/j.ijrobp.2011.03.01121621341
- [14] Claude L, Pérol D, Ginestet C, et al. A prospective study on radiation pneumonitis following conformal radiation therapy in non-small-cell lung cancer: clinical and dosimetric factors analysis. Radiother Oncol. 2004;71(2):175-181.10.1016/j.radonc.2004.02.00515110451
- [15] American Joint Committee for Cancer Staging and End Results Reporting. Manual for staging of cancer. American Joint Committee, Chicago; 1978.
- [16] Trotti A, Byhardt R, Stetz J, et al. Common toxicity criteria: version 2.0. an improved reference for grading the acute effects of cancer treatment: impact on radiotherapy. Int J Radiat Oncol Biol Phys. 2000;47(1):13-47.10.1016/S0360-3016(99)00559-3
- [17] Franklin J. The elements of statistical learning: data mining, inference and prediction. The Mathematical Intelligencer. 2005;27:83-85.10.1007/BF02985802
- [18] Tibshirani R. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society Series B (Methodological). 1996;58(1):267-288.10.1111/j.2517-6161.1996.tb02080.x
- [19] Tokatli F KM, Kocak Z, Ture M, et al. Sequential pulmonary effects of radiotherapy detected by functional and radiological end points in women with breast cancer. Clin Oncol (R Coll Radiol). 2005;17(1):39-46.10.1016/j.clon.2004.07.012
- [20] Hernberg M, Virkkunen P, Maasilta P, et al. Pulmonary toxicity after radiotherapy in primary breast cancer patients: results from a randomized chemotherapy study. Int J Radiat Oncol Biol Phys. 2002;52(1):128-136.10.1016/S0360-3016(01)01760-6
- [21] Jaén J, Vázquez G, Alonso E, et al. Changes in pulmonary function after incidental lung irradiation for breast cancer: A prospective study. Int J Radiat Oncol Biol Phys. 2006;65(5):1381-1388.10.1016/j.ijrobp.2006.03.008
- [22] Skwarchuk MW, Jackson A, Zelefsky MJ, et al. Late rectal toxicity after conformal radiotherapy of prostate cancer (I): multivariate analysis and dose–response. Int J Radiat Oncol Biol Phys. 2000;47(1):103-113.10.1016/S0360-3016(99)00560-X
- [23] Svolos P, Tsougos I, Kyrgias G, et al. On the use of published radiobiological parameters and the evaluation of NTCP models regarding lung pneumonitis in clinical breast radiotherapy. Australas Phys Eng Sci Med. 2011;34(1):69-81.10.1007/s13246-010-0051-321213098
- [24] Beetz I, Schilstra C, van Luijk P, et al. External validation of three dimensional conformal radiotherapy based NTCP models for patient-rated xerostomia and sticky saliva among patients treated with intensity modulated radiotherapy. Radiother Oncol. 2012;105(1):94-100.10.1016/j.radonc.2011.11.00622169766
- [25] Ling TC, Slater JM, Nookala P, et al. Analysis of intensity-modulated radiation therapy (IMRT), proton and 3D conformal radiotherapy (3D-CRT) for reducing perioperative cardiopulmonary complications in esophageal cancer patients. Cancers. 2014;6(4):2356-2368.10.3390/cancers6042356427697125489937