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Japanese Journal of Clinical Oncology Advance Access originally published online on April 12, 2006
Japanese Journal of Clinical Oncology 2006 36(4):193-196; doi:10.1093/jjco/hyl007
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© 2006 Foundation for Promotion of Cancer Research

The Use of Recursive Partitioning Analysis Grouping in Patients with Brain Metastases from Non-Small-Cell Lung Cancer

Hülya Gülbas, Haldun Sükrü Erkal and Meltem Serin

Department of Radiation Oncology, Inönü University Faculty of Medicine, Malatya, Turkey

For reprints and all correspondence: Haldun Sükrü Erkal, MD, Department of Radiation Oncology, Inönü University Faculty of Medicine, Malatya, TR-44280, Turkey. E-mail: hserkal{at}inonu.edu.tr

Received December 5, 2005; accepted January 30, 2006

Background: This study evaluates the use of recursive partitioning analysis (RPA) grouping in an attempt to predict the survival probabilities in patients with brain metastases from non-small-cell lung cancer (NSCLC).

Methods: Seventy-two patients with brain metastases from NSCLC treated with radiation therapy were included in the study. Sixty-three patients were male and nine patients were female. Their median age was 57 years and their median Karnofsky performance status was 70. At the time of brain metastases, there was no evidence of the intrathoracic disease in 27 patients and the extrathoracic disease was limited to the intracranial disease in 42 patients. In accordance with RPA grouping, 12 patients were in Group 1, 24 patients were in Group 2, and 36 patients were in Group 3. Radiation therapy was delivered to the whole brain at a dose of 30 Gy in 10 fractions in most of the patients.

Results: The median survival time was 7 months for Group 1, 5 months for Group 2 and 3 months for Group 3. The survival probability at 1 year was 50% for Group 1, 26% for Group 2 and 14% for Group 3.

Conclusions: This study presents evidence supporting the use of RPA grouping in an attempt to predict the survival probabilities in patients with brain metastases from NSCLC.

Key Words: non-small-cell lung cancer • brain metastases • radiation therapy • recursive partitioning analysis


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