Abstract

Purpose: Brain metastases (BM), a common occurrence in non-small cell lung cancer (NSCLC), usually lead to a poor prognosis. Recently, the selection of treatment modalities for BM has modestly improved patient survival and quality of life. Treatment choice is largely based on the number of BM, the presence of BM-related symptoms, and performance status. Therefore, early BM detection is crucial. In this study, we aimed to elucidate the factors associated with BM and identify subgroups of patients at higher risk for BM. Methods and patients: The medical records of 596 consecutive patients with stage I-IV NSCLC were reviewed between January 2006 and November 2011. A multivariate logistic regression (MLR) model was used to identify factors associated with BM. Results: Among 482 eligible stage IIIB/IV NSCLC patients, 173 (36%) experienced BM during their disease course. On MLR analysis, female gender, age

Original languageEnglish
Pages (from-to)319-323
Number of pages5
JournalLung Cancer
Volume82
Issue number2
DOIs
Publication statusPublished - Nov 2013

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Non-Small Cell Lung Carcinoma
Neoplasm Metastasis
Brain
Logistic Models
Medical Records
Regression Analysis
Quality of Life
Survival
Therapeutics

Keywords

  • Actuarial incidence of brain metastases
  • Adenocarcinoma
  • Early detection
  • Identification of subgroup patients at higher risk
  • Non-small cell lung cancer
  • Young age

ASJC Scopus subject areas

  • Oncology
  • Pulmonary and Respiratory Medicine
  • Cancer Research

Cite this

Identification of subgroup patients with stage IIIB/IV non-small cell lung cancer at higher risk for brain metastases. / Hsiao, Shih Hsin; Chung, Chi Li; Chou, Yu Ting; Lee, Hsin Lun; Lin, Sey En; Liu, H. Eugene.

In: Lung Cancer, Vol. 82, No. 2, 11.2013, p. 319-323.

Research output: Contribution to journalArticle

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abstract = "Purpose: Brain metastases (BM), a common occurrence in non-small cell lung cancer (NSCLC), usually lead to a poor prognosis. Recently, the selection of treatment modalities for BM has modestly improved patient survival and quality of life. Treatment choice is largely based on the number of BM, the presence of BM-related symptoms, and performance status. Therefore, early BM detection is crucial. In this study, we aimed to elucidate the factors associated with BM and identify subgroups of patients at higher risk for BM. Methods and patients: The medical records of 596 consecutive patients with stage I-IV NSCLC were reviewed between January 2006 and November 2011. A multivariate logistic regression (MLR) model was used to identify factors associated with BM. Results: Among 482 eligible stage IIIB/IV NSCLC patients, 173 (36{\%}) experienced BM during their disease course. On MLR analysis, female gender, age",
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AU - Hsiao, Shih Hsin

AU - Chung, Chi Li

AU - Chou, Yu Ting

AU - Lee, Hsin Lun

AU - Lin, Sey En

AU - Liu, H. Eugene

PY - 2013/11

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N2 - Purpose: Brain metastases (BM), a common occurrence in non-small cell lung cancer (NSCLC), usually lead to a poor prognosis. Recently, the selection of treatment modalities for BM has modestly improved patient survival and quality of life. Treatment choice is largely based on the number of BM, the presence of BM-related symptoms, and performance status. Therefore, early BM detection is crucial. In this study, we aimed to elucidate the factors associated with BM and identify subgroups of patients at higher risk for BM. Methods and patients: The medical records of 596 consecutive patients with stage I-IV NSCLC were reviewed between January 2006 and November 2011. A multivariate logistic regression (MLR) model was used to identify factors associated with BM. Results: Among 482 eligible stage IIIB/IV NSCLC patients, 173 (36%) experienced BM during their disease course. On MLR analysis, female gender, age

AB - Purpose: Brain metastases (BM), a common occurrence in non-small cell lung cancer (NSCLC), usually lead to a poor prognosis. Recently, the selection of treatment modalities for BM has modestly improved patient survival and quality of life. Treatment choice is largely based on the number of BM, the presence of BM-related symptoms, and performance status. Therefore, early BM detection is crucial. In this study, we aimed to elucidate the factors associated with BM and identify subgroups of patients at higher risk for BM. Methods and patients: The medical records of 596 consecutive patients with stage I-IV NSCLC were reviewed between January 2006 and November 2011. A multivariate logistic regression (MLR) model was used to identify factors associated with BM. Results: Among 482 eligible stage IIIB/IV NSCLC patients, 173 (36%) experienced BM during their disease course. On MLR analysis, female gender, age

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