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자료유형
학술저널
저자정보
Jimi Huh (Department of Radiology Ajou University Hospital Ajou University School of Medicine Suwon Korea) Bumhee Park (Department of Biomedical Informatics Ajou University School of Medicine Suwon Korea) Heirim Lee (Department of Biomedical Informatics Ajou University School of Medicine Suwon Korea) Young-Sil An (Department of Nuclear Medicine and Molecular Imaging Ajou University School of Medicine Suwon Kor) Yongsik Jung (Department of Surgery Ajou University School of Medicine Suwon Korea) Ji Young Kim (Department of Surgery Ajou University School of Medicine Suwon Korea) Doo Kyoung Kang (Department of Radiology Ajou University School of Medicine Suwon Korea) Kyung Won Kim (Department of Radiology University of Ulsan College of Medicine Asan Medical Center Suwon Korea) Tae Hee Kim (Department of Radiology Ajou University School of Medicine Suwon Korea)
저널정보
한국유방암학회 Journal of Breast Cancer Journal of Breast Cancer Vol.23 No.1
발행연도
2020.1
수록면
80 - 92 (13page)

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Purpose: The purpose of this study was to evaluate the prognostic value of skeletal muscle depletion measured on computed tomography (CT) in patients with non-metastatic invasive breast cancer. Methods: This retrospective study included 577 consecutive women (mean age ± standard deviation: 48.9 ± 10.2 years with breast cancer who underwent a preoperative positronemission tomography (PET)/CT scan and curative surgery between January 2012 and August 2014. The total abdominal muscle area (TAMA), subcutaneous fat area (SFA), and visceral fat area (VFA) were measured on CT images at the L3 vertebral level. Univariate and multivariate Cox proportional-hazard regression analyses were performed to evaluate whether there was an association between sarcopenia and overall survival (OS) outcome. Results: Of the 577 women, 49 (8.5%) died after a mean of 46 months. The best TAMA threshold for predicting OS was 83.7 cm2 . The multivariate Cox proportional-hazard analysis revealed that sarcopenia (TAMA ≤ 83.70 cm2 ) was a strong prognostic biomarker (hazard ratio [HR], 1.951; 95% confidence interval [CI], 1.061–3.586), along with large tumor size, axillary lymph node metastasis, high nuclear grade, estrogen receptor status, and adjuvant radiation therapy. In the subgroup analysis of patients aged ≥ 50 years, TAMA (≤ 77.14 cm2 ) was a significant independent factor (HR, 2.856; 95% CI, 1.218–6.695). Conclusion: Skeletal muscle depletion measured on CT was associated with worse OS outcome in patients with non-metastatic breast cancer

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