CT image biomarkers to improve patient-specific prediction of radiation-induced xerostomia and sticky saliva.
暂无分享,去创建一个
A. van der Schaaf | R. Steenbakkers | J. Burgerhof | J. Langendijk | L. V. van Dijk | N. Sijtsema | R. J. Beukinga | C. Brouwer | R. Beukinga
[1] A. van der Schaaf,et al. Swallowing sparing intensity modulated radiotherapy (SW-IMRT) in head and neck cancer: Clinical validation according to the model-based approach. , 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[2] R. Steenbakkers,et al. CT-based delineation of organs at risk in the head and neck region: DAHANCA, EORTC, GORTEC, HKNPCSG, NCIC CTG, NCRI, NRG Oncology and TROG consensus guidelines. , 2015, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[3] P. Lambin,et al. Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach , 2014, Nature Communications.
[4] P. Lambin,et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach , 2014, Nature Communications.
[5] S. Roberts,et al. Stabilizing the lasso against cross-validation variability , 2014, Comput. Stat. Data Anal..
[6] Giovanna Rizzo,et al. Texture analysis for the assessment of structural changes in parotid glands induced by radiotherapy. , 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[7] Johannes A Langendijk,et al. Selection of patients for radiotherapy with protons aiming at reduction of side effects: the model-based approach. , 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[8] Johannes A Langendijk,et al. Predictive modelling for swallowing dysfunction after primary (chemo)radiation: results of a prospective observational study. , 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[9] Johannes A Langendijk,et al. NTCP models for patient-rated xerostomia and sticky saliva after treatment with intensity modulated radiotherapy for head and neck cancer: the role of dosimetric and clinical factors. , 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[10] A. Vissink,et al. Development of NTCP models for head and neck cancer patients treated with three-dimensional conformal radiotherapy for xerostomia and sticky saliva: the role of dosimetric and clinical factors. , 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[11] Johannes A Langendijk,et al. Multivariate modeling of complications with data driven variable selection: guarding against overfitting and effects of data set size. , 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[12] J. Langendijk,et al. The potential benefit of swallowing sparing intensity modulated radiotherapy to reduce swallowing dysfunction: an in silico planning comparative study. , 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[13] S Marzi,et al. Anatomical and dose changes of gross tumour volume and parotid glands for head and neck cancer patients during intensity-modulated radiotherapy: effect on the probability of xerostomia incidence. , 2012, Clinical oncology (Royal College of Radiologists (Great Britain)).
[14] E. R. van den Heuvel,et al. 3D Variation in delineation of head and neck organs at risk , 2012, Radiation oncology.
[15] J. Langendijk,et al. Delineation of organs at risk involved in swallowing for radiotherapy treatment planning. , 2011, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[16] C. Burke,et al. Imaging the major salivary glands. , 2011, The British journal of oral & maxillofacial surgery.
[17] Randall K Ten Haken,et al. A comparison of dose-response models for the parotid gland in a large group of head-and-neck cancer patients. , 2010, International journal of radiation oncology, biology, physics.
[18] Trevor Hastie,et al. Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.
[19] Marta Paiusco,et al. A two-variable linear model of parotid shrinkage during IMRT for head and neck cancer. , 2009, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[20] J. Pignon,et al. Meta-analysis of chemotherapy in head and neck cancer (MACH-NC): an update on 93 randomised trials and 17,346 patients. , 2009, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[21] Johannes A Langendijk,et al. Intensity-modulated radiotherapy reduces radiation-induced morbidity and improves health-related quality of life: results of a nonrandomized prospective study using a standardized follow-up program. , 2009, International journal of radiation oncology, biology, physics.
[22] A. Garden,et al. Factors associated with severe late toxicity after concurrent chemoradiation for locally advanced head and neck cancer: an RTOG analysis. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[23] T. Hesterberg,et al. Least angle and ℓ1 penalized regression: A review , 2008, 0802.0964.
[24] Christopher U. Jones,et al. Radiotherapy plus cetuximab for squamous-cell carcinoma of the head and neck. , 2006, The New England journal of medicine.
[25] C. Leemans,et al. Does radiation dose to the salivary glands and oral cavity predict patient-rated xerostomia and sticky saliva in head and neck cancer patients treated with curative radiotherapy? , 2005, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[26] Yasumasa Nishimura,et al. Importance of the initial volume of parotid glands in xerostomia for patients with head and neck cancers treated with IMRT. , 2005, Japanese journal of clinical oncology.
[27] K. Ang,et al. CT-based delineation of lymph node levels and related CTVs in the node-negative neck: DAHANCA, EORTC, GORTEC, NCIC,RTOG consensus guidelines. , 2003, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[28] J. Habbema,et al. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. , 2001, Journal of clinical epidemiology.
[29] A. Hida,et al. MR imaging of the salivary glands in sicca syndrome: comparison of lipid profiles and imaging in patients with hyperlipidemia and patients with Sjögren's syndrome. , 2000, AJR. American journal of roentgenology.
[30] Xiaoou Tang,et al. Texture information in run-length matrices , 1998, IEEE Trans. Image Process..
[31] D. Nyberg,et al. Increased salivary gland density on contrast-enhanced CT after head and neck radiation. , 1987, AJR. American journal of roentgenology.
[32] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[33] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[34] Damaris Zurell,et al. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance , 2013 .
[35] Toshinori Hirai,et al. Radiation-induced parotid gland changes in oral cancer patients: correlation between parotid volume and saliva production. , 2010, Japanese journal of clinical oncology.
[36] Bernard Fertil,et al. Texture indexes and gray level size zone matrix. Application to cell nuclei classification , 2009 .
[37] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .