Masseter muscle thickness is predictive of cancer cachexia in patients with head and neck cancer

Author:

Balanta‐Melo Julián12ORCID,Jones Alexander J.3ORCID,Novinger Leah J.45ORCID,Moore Michael G.3,Bonetto Andrea45ORCID

Affiliation:

1. Department of Anatomy, Cell Biology & Physiology Indiana University School of Medicine Indianapolis Indiana USA

2. Department of Prosthodontics Universidad del Valle School of Dentistry Cali Colombia

3. Department of Otolaryngology – Head & Neck Surgery Indiana University School of Medicine Indianapolis Indiana USA

4. Department of Pathology University of Colorado Anschutz Medical Campus Aurora Colorado USA

5. Comprehensive Cancer Center University of Colorado Anschutz Medical Campus Aurora Colorado USA

Abstract

AbstractBackgroundCancer cachexia is prevalent in head and neck cancer patients. The L3 skeletal muscle index (SMI) is often used to assess sarcopenia and cachexia but is infrequently able to be measured in this population. Masseter muscle thickness (MT) may serve as an alternative predictor of cachexia.MethodsSMI and MT were calculated from 20 trauma (CTRL) and 40 cachectic (CA‐CX) and non‐cachectic (CA‐NCX) head and neck cancer patients. Area Under the Curve of the Receiver Operating Characteristics (AUC‐ROC) analysis was performed for SMI and MT.ResultsBoth SMI and MT were significantly decreased in CA‐CX patients (vs. CA‐NCX mean difference −19.5 cm2/m2 and −2.06 mm, respectively) and significant predictors of CA‐CX (AUC = 0.985 and 0.805, respectively). When analyzed by sex, the same findings were observed for MT in males and trended toward significance in females.ConclusionsCompared with SMI, MT is a good alternative prognostic biomarker to determine CA‐CX status in HNC patients.

Funder

National Institute of Arthritis and Musculoskeletal and Skin Diseases

National Cancer Institute

American Cancer Society

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3