A radiomic approach for adaptive radiotherapy in non-small cell lung cancer patients

The primary goal of precision medicine is to minimize side effects and optimize efficacy of treatments. Recent advances in medical imaging technology allow the use of more advanced image analysis methods beyond simple measurements of tumor size or radiotracer uptake metrics. The extraction of quanti...

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Veröffentlicht in:	PloS one 2018-11, Vol.13 (11), p.e0207455-e0207455
Hauptverfasser:	Ramella, Sara, Fiore, Michele, Greco, Carlo, Cordelli, Ermanno, Sicilia, Rosa, Merone, Mario, Molfese, Elisabetta, Miele, Marianna, Cornacchione, Patrizia, Ippolito, Edy, Iannello, Giulio, D'Angelillo, Rolando Maria, Soda, Paolo
Format:	Artikel
Sprache:	eng
Schlagworte:	Bioinformatics Biology and Life Sciences Biomarkers Cancer Cancer therapies Chemoradiotherapy Computed tomography Computer science Data processing Feasibility studies Feature extraction Heterogeneity Image analysis Image classification Image processing Laboratories Lung cancer Lung diseases Measurement methods Medical imaging Medical prognosis Medicine and Health Sciences Methods Non-small cell lung carcinoma Pathology Patients Precision medicine Radiation Radiation therapy Radioactive tracers Radiomics Research and Analysis Methods Side effects Statistical analysis Tumors
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