Literature DB >> 16647222

Final toxicity results of a radiation-dose escalation study in patients with non-small-cell lung cancer (NSCLC): predictors for radiation pneumonitis and fibrosis.

Feng-Ming Kong1, James A Hayman, Kent A Griffith, Gregory P Kalemkerian, Douglas Arenberg, Susan Lyons, Andrew Turrisi, Allen Lichter, Benedick Fraass, Avraham Eisbruch, Theodore S Lawrence, Randall K Ten Haken.   

Abstract

PURPOSE: We aimed to report the final toxicity results on a radiation-dose escalation trial designed to test a hypothesis that very high doses of radiation could be safely administered to patients with non-small-cell lung cancer (NSCLC) by quantifying the dose-volume toxicity relationship of the lung. METHODS AND MATERIALS: A total of 109 patients with unresectable or medically inoperable NSCLC were enrolled and treated with radiation-dose escalation (on the basis of predicted normal-lung toxicity) either alone or with neoadjuvant chemotherapy by use of 3D conformal techniques. Eighty-four patients (77%) received more than 69 Gy, the trial was stopped after the dose reached 103 Gy. Estimated median follow-up was 110 months.
RESULTS: There were 17 (14.6%) Grade 2 to 3 pneumonitis and 15 (13.8%) Grade 2 to 3 fibrosis and no Grade 4 to 5 lung toxicity. Multivariate analyses showed them to be (1) not associated with the dose prescribed to the tumor, and (2) significantly (p<0.001) associated with lung-dosimetric parameters such as the mean lung dose (MLD), volume of lung that received at least 20 Gy (V20), and the normal-tissue complication probability (NTCP) of the lung. If cutoffs are 30% for V20, 20 Gy for MLD, and 10% for NTCP, these factors have positive predictive values of 50% to 71% and negative predictive value of 85% to 89%.
CONCLUSIONS: With long-term follow-up for toxicity, we have demonstrated that much higher doses of radiation than are traditionally administered can be safely delivered to a majority of patients with NSCLC. Quantitative lung dose-volume toxicity-based dose escalation can form the basis for individualized high-dose radiation treatment to maximize the therapeutic ratio in these patients.

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Year:  2006        PMID: 16647222     DOI: 10.1016/j.ijrobp.2006.01.051

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  107 in total

1.  Soy isoflavones radiosensitize lung cancer while mitigating normal tissue injury.

Authors:  Gilda G Hillman; Vinita Singh-Gupta; Lindsay Runyan; Christopher K Yunker; Joseph T Rakowski; Fazlul H Sarkar; Steven Miller; Shirish M Gadgeel; Seema Sethi; Michael C Joiner; Andre A Konski
Journal:  Radiother Oncol       Date:  2011-11-11       Impact factor: 6.280

2.  Spanish radiobiological pattern of care in lung cancer: a GOECP/SEOR study.

Authors:  J A González; M Chust; R Delgado; A Gómez; N Rodríguez; M J Ruiz; F Casas
Journal:  Clin Transl Oncol       Date:  2010-04       Impact factor: 3.405

Review 3.  Radiation dose effect in locally advanced non-small cell lung cancer.

Authors:  Feng-Ming Spring Kong; Jing Zhao; Jingbo Wang; Corrine Faivre-Finn
Journal:  J Thorac Dis       Date:  2014-04       Impact factor: 2.895

4.  Differential effect of soy isoflavones in enhancing high intensity radiotherapy and protecting lung tissue in a pre-clinical model of lung carcinoma.

Authors:  Gilda G Hillman; Vinita Singh-Gupta; David J Hoogstra; Lisa Abernathy; Joseph Rakowski; Christopher K Yunker; Shoshana E Rothstein; Fazlul H Sarkar; Shirish Gadgeel; Andre A Konski; Fulvio Lonardo; Michael C Joiner
Journal:  Radiother Oncol       Date:  2013-09-07       Impact factor: 6.280

5.  Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): an introduction to the scientific issues.

Authors:  Søren M Bentzen; Louis S Constine; Joseph O Deasy; Avi Eisbruch; Andrew Jackson; Lawrence B Marks; Randall K Ten Haken; Ellen D Yorke
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

6.  The lessons of QUANTEC: recommendations for reporting and gathering data on dose-volume dependencies of treatment outcome.

Authors:  Andrew Jackson; Lawrence B Marks; Søren M Bentzen; Avraham Eisbruch; Ellen D Yorke; Randal K Ten Haken; Louis S Constine; Joseph O Deasy
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

Review 7.  Radiation dose-volume effects in the lung.

Authors:  Lawrence B Marks; Soren M Bentzen; Joseph O Deasy; Feng-Ming Spring Kong; Jeffrey D Bradley; Ivan S Vogelius; Issam El Naqa; Jessica L Hubbs; Joos V Lebesque; Robert D Timmerman; Mary K Martel; Andrew Jackson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

8.  Combining multiple models to generate consensus: application to radiation-induced pneumonitis prediction.

Authors:  Shiva K Das; Shifeng Chen; Joseph O Deasy; Sumin Zhou; Fang-Fang Yin; Lawrence B Marks
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

Review 9.  The Prediction of Radiotherapy Toxicity Using Single Nucleotide Polymorphism-Based Models: A Step Toward Prevention.

Authors:  Sarah L Kerns; Suman Kundu; Jung Hun Oh; Sandeep K Singhal; Michelle Janelsins; Lois B Travis; Joseph O Deasy; A Cecile J E Janssens; Harry Ostrer; Matthew Parliament; Nawaid Usmani; Barry S Rosenstein
Journal:  Semin Radiat Oncol       Date:  2015-05-15       Impact factor: 5.934

10.  Investigation of the support vector machine algorithm to predict lung radiation-induced pneumonitis.

Authors:  Shifeng Chen; Sumin Zhou; Fang-Fang Yin; Lawrence B Marks; Shiva K Das
Journal:  Med Phys       Date:  2007-10       Impact factor: 4.071

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