Literature DB >> 11823702

Prognostic factors for local control in non-small-cell lung cancer treated with definitive radiation therapy.

Ming Chen1, Guo-Liang Jiang, Xiao-Long Fu, Li-Juan Wang, Hao Qian, Sen Zhao, Tai-Fu Liu.   

Abstract

Radiotherapy plays an important role as a treatment for locally advanced non-small-cell lung cancer (NSCLC), but local failure still occurs in 70% to 80% of the patients. A retrospective analysis was carried out to evaluate the local control predictors for non-SCLC. From January 1990 to December 1996, 256 patients with stages I-IIIb NSCLC entered this analysis. All patients received definitive radiotherapy. The significance of prognostic variables on local control was evaluated using univariate analysis and Cox stepwise regression model. The prognostic index was calculated according to the value of each prognostic factor on local control. Median local progression-free survival time of the whole group was 9.7 months, and 1-, 3-, and 5-year actuarial local progression-free survival were 54%, 24%, and 19%, respectively. Univariate and multivariate analyses showed patients with smaller tumor volume, earlier clinical staging, and treated with higher total dose in shortened overall treatment time had better local control. Tumor volume, clinical staging, and radiotherapy methods were independent prognostic factors on local control. The prognostic index model could predict the local control condition of NSCLC treated with radiation therapy more effectively than a single variable such as TNM staging.

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Year:  2002        PMID: 11823702     DOI: 10.1097/00000421-200202000-00016

Source DB:  PubMed          Journal:  Am J Clin Oncol        ISSN: 0277-3732            Impact factor:   2.339


  5 in total

1.  Molecular imaging biomarkers of resistance to radiation therapy for spontaneous nasal tumors in canines.

Authors:  Tyler J Bradshaw; Stephen R Bowen; Michael A Deveau; Lyndsay Kubicek; Pamela White; Søren M Bentzen; Richard J Chappell; Lisa J Forrest; Robert Jeraj
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-03-15       Impact factor: 7.038

2.  Development of a Fully Cross-Validated Bayesian Network Approach for Local Control Prediction in Lung Cancer.

Authors:  Yi Luo; Daniel McShan; Dipankar Ray; Martha Matuszak; Shruti Jolly; Theodore Lawrence; Feng Ming Kong; Randall Ten Haken; Issam El Naqa
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2018-05-02

3.  Oesophageal cancer: assessment of tumour response to chemoradiotherapy with tridimensional CT.

Authors:  Rita Alfieri; Giovanna Pintacuda; Matteo Cagol; Tommaso Occhipinti; Ivan Capraro; Marco Scarpa; Gianpietro Zanchettin; Francesco Cavallin; Mauro Michelotto; Luciano Giacomelli; Ermanno Ancona; Carlo Castoro
Journal:  Radiol Med       Date:  2014-10-30       Impact factor: 3.469

4.  Is there a selection bias in radiotherapy dose-escalation protocols?

Authors:  Elisabeth Weiss; Viswanathan Ramakrishnan; Paul J Keall
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-05-07       Impact factor: 7.038

5.  Oxygen microbubbles improve radiotherapy tumor control in a rat fibrosarcoma model - A preliminary study.

Authors:  Samantha M Fix; Virginie Papadopoulou; Hunter Velds; Sandeep K Kasoji; Judith N Rivera; Mark A Borden; Sha Chang; Paul A Dayton
Journal:  PLoS One       Date:  2018-04-09       Impact factor: 3.240

  5 in total

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