scholarly journals Characterization of changes in total body composition for patients with head and neck cancer undergoing chemoradiotherapy using dual-energy x-ray absorptiometry

Head & Neck ◽  
2013 ◽  
pp. n/a-n/a ◽  
Author(s):  
William Jackson ◽  
Neil Alexander ◽  
Matthew Schipper ◽  
Lorraine Fig ◽  
Felix Feng ◽  
...  
2019 ◽  
Vol 22 (3) ◽  
pp. 437-443 ◽  
Author(s):  
Ho-Chuen Chang ◽  
Yu-Ching Lin ◽  
Shu-Hang Ng ◽  
Yun-Chung Cheung ◽  
Cheng-Hsu Wang ◽  
...  

2013 ◽  
Vol 4 (1) ◽  
pp. 1-5
Author(s):  
Neizekhotuo Brian Shunyu ◽  
Judita Syiemlieh

ABSTRACT In India, 20 to 40% of all cancer arises in the head and neck region. The highest rate is seen in the eastern and southern regions of our country. The alarming high prevalence of head and neck cancer (HNC) in this region has prompted us to undertake this retrospective study. This study is to give the picture on the prevalence of HNC in the region, as such studies are lacking, till date. This is a 5 years retrospective study of cancer patients from 2007 to 2011 who have been registered in Civil Hospital, Shillong. The period of study is short as registry before 2007 was not properly recorded, but the high prevalence of cancer especially HNC warranted the need to undertake this retrospective study. During the 5-year period, there were a total of 3,123 cancer patients, registered in Civil Hospital, Shillong. In this study, HNC and esophageal cancer constitute 2,207 (70.67%) cases of the total body malignancy (TBM) which is much higher than other studies done in other parts of the country. Fourth decade is the most common age group comprising of 471 cases which accounts for 32.72% of all HNC. This high prevalence of HNC in the young population of the region is alarming and hence needs a comprehensive afford to meet this challenge. This paper, therefore, is an attempt to quantify the spectrum of HNC in the region hoping that this paper will help the health professionals to understand the burden of HNC in the region, so as to generate strategies for future planning. How to cite this article Shunyu NB, Syiemlieh J. Prevalence of Head and Neck Cancer in the State of Meghalaya: Hospital-based Study. Int J Head and Neck Surg 2013;4(1):1-5.


Nutrition ◽  
2018 ◽  
Vol 51-52 ◽  
pp. 60-65 ◽  
Author(s):  
Micheline Tereza Pires Souza ◽  
Pierre Singer ◽  
Gislaine Aparecida Ozorio ◽  
Vitor Modesto Rosa ◽  
Maria Manuela Ferreira Alves ◽  
...  

2019 ◽  
Vol 188 (11) ◽  
pp. 2031-2039
Author(s):  
Patrick T Bradshaw ◽  
Jose P Zevallos ◽  
Kathy Wisniewski ◽  
Andrew F Olshan

Abstract Previous studies have suggested a “J-shaped” relationship between body mass index (BMI, calculated as weight (kg)/height (m)2) and survival among head and neck cancer (HNC) patients. However, BMI is a vague measure of body composition. To provide greater resolution, we used Bayesian sensitivity analysis, informed by external data, to model the relationship between predicted fat mass index (FMI, adipose tissue (kg)/height (m)2), lean mass index (LMI, lean tissue (kg)/height (m)2), and survival. We estimated posterior median hazard ratios and 95% credible intervals for the BMI-mortality relationship in a Bayesian framework using data from 1,180 adults in North Carolina with HNC diagnosed between 2002 and 2006. Risk factors were assessed by interview shortly after diagnosis and vital status through 2013 via the National Death Index. The relationship between BMI and all-cause mortality was convex, with a nadir at 28.6, with greater risk observed throughout the normal weight range. The sensitivity analysis indicated that this was consistent with opposing increases in risk with FMI (per unit increase, hazard ratio = 1.04 (1.00, 1.08)) and decreases with LMI (per unit increase, hazard ratio = 0.90 (0.85, 0.95)). Patterns were similar for HNC-specific mortality but associations were stronger. Measures of body composition, rather than BMI, should be considered in relation to mortality risk.


2019 ◽  
Vol 116 ◽  
pp. 98-106 ◽  
Author(s):  
Ah Ra Jung ◽  
Jong-Lyel Roh ◽  
Jae Seung Kim ◽  
Sung-Bae Kim ◽  
Seung-Ho Choi ◽  
...  

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