TY - JOUR
T1 - Imaging body composition in cancer patients
T2 - visceral obesity, sarcopenia and sarcopenic obesity may impact on clinical outcome
AU - Yip, Connie Siew Poh
AU - Dinkle, Charlotte
AU - Mahajan, Abhishek
AU - Siddique, Muhammad Musib
AU - Cook, Gary John Russell
AU - Goh, Vicky Joo-Lin
PY - 2015
Y1 - 2015
N2 - In recent years, there has been increasing interest in the influence of body composition on oncological patient outcomes. Visceral obesity, sarcopenia and sarcopenic obesity have been identified as adverse factors in cancer patients. Imaging quantification of body composition such as lean muscle mass and fat distribution is a potentially valuable tool. This review describes the following imaging techniques that may be used to assess body composition: dual-energy X-ray absorptiometry (DXA), computed tomography (CT) and magnetic resonance imaging (MRI). CT and MRI are acquired as part of oncological patient care, thus providing an opportunity to integrate body composition assessment into the standard clinical pathway and allowing supportive care to be commenced as appropriate to improve outcome.
AB - In recent years, there has been increasing interest in the influence of body composition on oncological patient outcomes. Visceral obesity, sarcopenia and sarcopenic obesity have been identified as adverse factors in cancer patients. Imaging quantification of body composition such as lean muscle mass and fat distribution is a potentially valuable tool. This review describes the following imaging techniques that may be used to assess body composition: dual-energy X-ray absorptiometry (DXA), computed tomography (CT) and magnetic resonance imaging (MRI). CT and MRI are acquired as part of oncological patient care, thus providing an opportunity to integrate body composition assessment into the standard clinical pathway and allowing supportive care to be commenced as appropriate to improve outcome.
U2 - 10.1007/s13244-015-0414-0
DO - 10.1007/s13244-015-0414-0
M3 - Literature review
SN - 1869-4101
JO - Insights into imaging
JF - Insights into imaging
ER -