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For: De Ruysscher D, Sharifi H, Defraene G, Kerns SL, Christiaens M, De Ruyck K, Peeters S, Vansteenkiste J, Jeraj R, Van Den Heuvel F, van Elmpt W. Quantification of radiation-induced lung damage with CT scans: the possible benefit for radiogenomics. Acta Oncol 2013;52:1405-10. [PMID: 23957564 DOI: 10.3109/0284186X.2013.813074] [Cited by in Crossref: 39] [Cited by in F6Publishing: 40] [Article Influence: 4.3] [Reference Citation Analysis]
Number Citing Articles
1 Choi KH, Seol Y, Kang Y, Lee YK, Ahn SH, Song JH, Choi B, Kim Y, Jang H. Using deep learning to predict radiation pneumonitis in patients treated with stereotactic body radiotherapy (SBRT) for pulmonary nodules: preliminary results. J Korean Phys Soc . [DOI: 10.1007/s40042-022-00543-6] [Reference Citation Analysis]
2 Chandy E, Szmul A, Stavropoulou A, Jacob J, Veiga C, Landau D, Wilson J, Gulliford S, Fenwick JD, Hawkins MA, Hiley C, McClelland JR. Quantitative Analysis of Radiation-Associated Parenchymal Lung Change. Cancers (Basel) 2022;14:946. [PMID: 35205693 DOI: 10.3390/cancers14040946] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
3 Defraene G, van Elmpt W, De Ruysscher D. Regional lung avoidance by CT numbers to reduce radiation-induced lung damage risk in non-small-cell lung cancer: a simulation study. Acta Oncol 2020;59:201-7. [PMID: 31549562 DOI: 10.1080/0284186X.2019.1669814] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Sharifi H, McDonald GC, Lee JK, Ajlouni MI, Chetty IJ, Zhong H. Four-dimensional computed tomography-based biomechanical measurements of pulmonary function and their correlation with clinical outcome for lung stereotactic body radiation therapy patients. Quant Imaging Med Surg 2019;9:1278-87. [PMID: 31448213 DOI: 10.21037/qims.2019.07.03] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Schröder C, Engenhart-Cabillic R, Kirschner S, Blank E, Buchali A. Changes of lung parenchyma density following high dose radiation therapy for thoracic carcinomas - an automated analysis of follow up CT scans. Radiat Oncol 2019;14:72. [PMID: 31036015 DOI: 10.1186/s13014-019-1276-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 9] [Article Influence: 1.3] [Reference Citation Analysis]
6 Wen Q, Zhu J, Meng X, Ma C, Bai T, Sun X, Yu J. The Value of CBCT-based Tumor Density and Volume Variations in Prediction of Early Response to Chemoradiation Therapy in Advanced NSCLC. Sci Rep 2017;7:14650. [PMID: 29116100 DOI: 10.1038/s41598-017-14548-w] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.6] [Reference Citation Analysis]
7 Chen X, Oshima K, Schott D, Wu H, Hall W, Song Y, Tao Y, Li D, Zheng C, Knechtges P, Erickson B, Li XA. Assessment of treatment response during chemoradiation therapy for pancreatic cancer based on quantitative radiomic analysis of daily CTs: An exploratory study. PLoS One. 2017;12:e0178961. [PMID: 28575105 DOI: 10.1371/journal.pone.0178961] [Cited by in Crossref: 25] [Cited by in F6Publishing: 38] [Article Influence: 5.0] [Reference Citation Analysis]
8 Scalco E, Rizzo G. Texture analysis of medical images for radiotherapy applications. Br J Radiol 2017;90:20160642. [PMID: 27885836 DOI: 10.1259/bjr.20160642] [Cited by in Crossref: 59] [Cited by in F6Publishing: 68] [Article Influence: 9.8] [Reference Citation Analysis]
9 Mattonen SA, Ward AD, Palma DA. Pulmonary imaging after stereotactic radiotherapy-does RECIST still apply? Br J Radiol 2016;89:20160113. [PMID: 27245137 DOI: 10.1259/bjr.20160113] [Cited by in Crossref: 14] [Cited by in F6Publishing: 17] [Article Influence: 2.3] [Reference Citation Analysis]
10 Baumann M, Krause M, Overgaard J, Debus J, Bentzen SM, Daartz J, Richter C, Zips D, Bortfeld T. Radiation oncology in the era of precision medicine. Nat Rev Cancer 2016;16:234-49. [PMID: 27009394 DOI: 10.1038/nrc.2016.18] [Cited by in Crossref: 356] [Cited by in F6Publishing: 406] [Article Influence: 59.3] [Reference Citation Analysis]
11 Guo CX, Wang J, Huang LH, Li JG, Chen X. Impact of single-nucleotide polymorphisms on radiation pneumonitis in cancer patients. Mol Clin Oncol 2016;4:3-10. [PMID: 26870349 DOI: 10.3892/mco.2015.666] [Cited by in Crossref: 14] [Cited by in F6Publishing: 13] [Article Influence: 2.0] [Reference Citation Analysis]
12 Essers M, Poortmans PM, Verschueren K, Hol S, Cobben DC. Should breathing adapted radiotherapy also be applied for right-sided breast irradiation? Acta Oncol 2016;55:460-5. [PMID: 26503610 DOI: 10.3109/0284186X.2015.1102321] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 2.0] [Reference Citation Analysis]
13 Sharifi H, van Elmpt W, Oberije C, Nalbantov G, Das M, Öllers M, Lambin P, Dingmans AM, De Ruysscher D. Quantification of CT-assessed radiation-induced lung damage in lung cancer patients treated with or without chemotherapy and cetuximab. Acta Oncol 2016;55:156-62. [PMID: 26399389 DOI: 10.3109/0284186X.2015.1080856] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 1.3] [Reference Citation Analysis]
14 Grau C, Overgaard J, Høyer M, Tanderup K, Lindegaard JC, Muren LP. Biology-guided adaptive radiotherapy (BiGART) is progressing towards clinical reality. Acta Oncol 2015;54:1245-50. [PMID: 26390238 DOI: 10.3109/0284186X.2015.1076992] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.1] [Reference Citation Analysis]
15 Nielsen MS, Østergaard LR, Carl J. A new method to validate thoracic CT-CT deformable image registration using auto-segmented 3D anatomical landmarks. Acta Oncol 2015;54:1515-20. [PMID: 26140536 DOI: 10.3109/0284186X.2015.1061215] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
16 Vargas HA, Miccò M, Hong SI, Goldman DA, Dao F, Weigelt B, Soslow RA, Hricak H, Levine DA, Sala E. Association between morphologic CT imaging traits and prognostically relevant gene signatures in women with high-grade serous ovarian cancer: a hypothesis-generating study. Radiology 2015;274:742-51. [PMID: 25383459 DOI: 10.1148/radiol.14141477] [Cited by in Crossref: 31] [Cited by in F6Publishing: 32] [Article Influence: 3.9] [Reference Citation Analysis]
17 van Elmpt W, Zegers CM, Das M, De Ruysscher D. Imaging techniques for tumour delineation and heterogeneity quantification of lung cancer: overview of current possibilities. J Thorac Dis 2014;6:319-27. [PMID: 24688776 DOI: 10.3978/j.issn.2072-1439.2013.08.62] [Cited by in F6Publishing: 6] [Reference Citation Analysis]
18 Deasy JO, Muren LP. Advancing our quantitative understanding of radiotherapy normal tissue morbidity. Acta Oncol 2014;53:577-9. [PMID: 24724930 DOI: 10.3109/0284186X.2014.907055] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.6] [Reference Citation Analysis]