$A proliferation saturation index to predict radiation response and personalize radiotherapy fractionation$

A proliferation saturation index to predict radiation response and personalize radiotherapy fractionation

Although altered protocols that challenge conventional radiation fractionation have been tested in prospective clinical trials, we still have limited understanding of how to select the most appropriate fractionation schedule for individual patients. Currently, the prescription of definitive radiothe...

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Veröffentlicht in:	Radiation oncology (London, England) England), 2015-07, Vol.10 (1), p.159, Article 159
Hauptverfasser:	Prokopiou, Sotiris, Moros, Eduardo G, Poleszczuk, Jan, Caudell, Jimmy, Torres-Roca, Javier F, Latifi, Kujtim, Lee, Jae K, Myerson, Robert, Harrison, Louis B, Enderling, Heiko
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Carcinoma, Non-Small-Cell Lung - radiotherapy Care and treatment Cell Division - radiation effects Cell Hypoxia Computer Simulation CT imaging Diagnosis Dose Fractionation, Radiation Dose-Response Relationship, Radiation Humans Hydrogen-Ion Concentration Immunologic Surveillance Lung cancer, Non-small cell Lung Neoplasms - radiotherapy Models, Biological Patient outcomes Precision Medicine - methods Prognosis Radiation Radiation Tolerance Radiotherapy Random Allocation Relative Biological Effectiveness Retrospective Studies Tumor Burden Tumor Microenvironment Tumors
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