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Effect of Chemotherapy on Dual-Energy X-ray Absorptiometry (DXA) Body Composition Precision Error in Head and Neck Cancer Patients

  • Ho Chuen Chang
  • , Yu Ching Lin
  • , Shu Hang Ng
  • , Yun Chung Cheung
  • , Cheng Hsu Wang
  • , Fang Ping Chen
  • , Hui Ping Chang
  • , Chen Ming Sung
  • , Chih Ming Fan
  • , Kun Yun Yeh
  • , J. S. Wu

研究成果: 雜誌貢獻文章同行評審

6   連結會在新分頁中打開 引文 斯高帕斯(Scopus)

摘要

Background: Precision error in dual-energy X-ray absorptiometry (DXA) is defined as difference in results due to instrumental and technical factors given no biologic change. The aim of this study is to compare precision error in DXA body composition scans in head and neck cancer patients before and 2 months after chemotherapy. Methodology: A total of 34 male head and neck cancer patients with normal body mass index (BMI) were prospectively enrolled and all patients received 2 consecutive DXA scans both before and after 2 months of chemotherapy for a total of 4 scans. The precision error of 3 DXA body composition values (lean mass, fat mass, and bone mineral content) was calculated for total body and 5 body regions (arms, legs, trunk, android, and gynoid). Precision errors before and after treatment were compared using generalized estimating equation model. Results: There was no significant change in precision error for the DXA total body composition values following chemotherapy; lean mass (0.33%–0.40%, p = 0.179), total fat mass (1.39%–1.70%, p = 0.259) and total bone mineral content (0.42%–0.56%, p = 0.243). However, there were significant changes in regional precision error; trunk lean mass (1.19%–1.77%, p = 0.014) and android fat mass (2.17%–3.72%, p = 0.046). Conclusions: For head and neck cancer patients, precision error of DXA total body composition values did not change significantly following chemotherapy; however, there were significant changes in fat mass in the android and lean mass in the trunk. Caution should be exercised when interpreting longitudinal DXA body composition data in those body parts.

原文英語
頁(從 - 到)437-443
頁數7
期刊Journal of Clinical Densitometry
22
發行號3
DOIs
出版狀態已發佈 - 7月 1 2019
對外發佈

UN SDG

此研究成果有助於以下永續發展目標

  1. SDG 3 - 良好的健康和福祉
    SDG 3 良好的健康和福祉

ASJC Scopus subject areas

  • 內分泌學、糖尿病和代謝
  • 骨科和運動醫學
  • 放射學、核子醫學和影像學

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