Skip to main content
Top
Published in: Insights into Imaging 4/2015

Open Access 01-08-2015 | Review

Imaging body composition in cancer patients: visceral obesity, sarcopenia and sarcopenic obesity may impact on clinical outcome

Authors: Connie Yip, Charlotte Dinkel, Abhishek Mahajan, Musib Siddique, Gary J. R. Cook, Vicky Goh

Published in: Insights into Imaging | Issue 4/2015

Login to get access

Abstract

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.

Main Messages

Sarcopenia, sarcopenic obesity and visceral obesity are adverse prognostic factors in cancer patients.
CT and MRI are the current gold standard in body composition evaluation.
Body composition may affect chemotherapy tolerance and toxicities.
Literature
1.
go back to reference Prado CM, Lieffers JR, McCargar LJ et al (2008) Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol 9(7):629–635PubMedCrossRef Prado CM, Lieffers JR, McCargar LJ et al (2008) Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol 9(7):629–635PubMedCrossRef
2.
go back to reference Prado CM, Baracos VE, McCargar LJ et al (2007) Body composition as an independent determinant of 5-fluorouracil-based chemotherapy toxicity. Clin Cancer Res 13(11):3264–3268PubMedCrossRef Prado CM, Baracos VE, McCargar LJ et al (2007) Body composition as an independent determinant of 5-fluorouracil-based chemotherapy toxicity. Clin Cancer Res 13(11):3264–3268PubMedCrossRef
3.
go back to reference Antoun S, Baracos VE, Birdsell L, Escudier B, Sawyer MB (2010) Low body mass index and sarcopenia associated with dose-limiting toxicity of sorafenib in patients with renal cell carcinoma. Ann Oncol 21(8):1594–1598PubMedCrossRef Antoun S, Baracos VE, Birdsell L, Escudier B, Sawyer MB (2010) Low body mass index and sarcopenia associated with dose-limiting toxicity of sorafenib in patients with renal cell carcinoma. Ann Oncol 21(8):1594–1598PubMedCrossRef
4.
go back to reference Lieffers JR, Bathe OF, Fassbender K, Winget M, Baracos VE (2012) Sarcopenia is associated with postoperative infection and delayed recovery from colorectal cancer resection surgery. Br J Cancer 107(6):931–936PubMedCentralPubMedCrossRef Lieffers JR, Bathe OF, Fassbender K, Winget M, Baracos VE (2012) Sarcopenia is associated with postoperative infection and delayed recovery from colorectal cancer resection surgery. Br J Cancer 107(6):931–936PubMedCentralPubMedCrossRef
5.
go back to reference Cecchini S, Cavazzini E, Marchesi F, Sarli L, Roncoroni L (2011) Computed tomography volumetric fat parameters versus body mass index for predicting short-term outcomes of colon surgery. World J Surg 35(2):415–423PubMedCrossRef Cecchini S, Cavazzini E, Marchesi F, Sarli L, Roncoroni L (2011) Computed tomography volumetric fat parameters versus body mass index for predicting short-term outcomes of colon surgery. World J Surg 35(2):415–423PubMedCrossRef
6.
go back to reference Moon HG, Ju YT, Jeong CY et al (2008) Visceral obesity may affect oncologic outcome in patients with colorectal cancer. Ann Surg Oncol 15(7):1918–1922PubMedCrossRef Moon HG, Ju YT, Jeong CY et al (2008) Visceral obesity may affect oncologic outcome in patients with colorectal cancer. Ann Surg Oncol 15(7):1918–1922PubMedCrossRef
7.
go back to reference Thibault R, Genton L, Pichard C (2012) Body composition: why, when and for who? Clin Nutr 31(4):435–447PubMedCrossRef Thibault R, Genton L, Pichard C (2012) Body composition: why, when and for who? Clin Nutr 31(4):435–447PubMedCrossRef
8.
go back to reference Balentine CJ, Enriquez J, Fisher W et al (2010) Intra-abdominal fat predicts survival in pancreatic cancer. J Gastrointest Surg 14(11):1832–1837PubMedCrossRef Balentine CJ, Enriquez J, Fisher W et al (2010) Intra-abdominal fat predicts survival in pancreatic cancer. J Gastrointest Surg 14(11):1832–1837PubMedCrossRef
9.
go back to reference World Health Organization (2000) Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser, 894:i-xii, 1–253 World Health Organization (2000) Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser, 894:i-xii, 1–253
10.
go back to reference Clark W, Siegel EM, Chen YA et al (2013) Quantitative measures of visceral adiposity and body mass index in predicting rectal cancer outcomes after neoadjuvant chemoradiation. J Am Coll Surg 216(6):1070–1081PubMedCrossRef Clark W, Siegel EM, Chen YA et al (2013) Quantitative measures of visceral adiposity and body mass index in predicting rectal cancer outcomes after neoadjuvant chemoradiation. J Am Coll Surg 216(6):1070–1081PubMedCrossRef
11.
go back to reference Rickles AS, Iannuzzi JC, Mironov O et al (2013) Visceral obesity and colorectal cancer: are we missing the boat with BMI? J Gastrointest Surg 17(1):133–143, discussion p 143 Rickles AS, Iannuzzi JC, Mironov O et al (2013) Visceral obesity and colorectal cancer: are we missing the boat with BMI? J Gastrointest Surg 17(1):133–143, discussion p 143
12.
go back to reference Lee CM, Huxley RR, Wildman RP, Woodward M (2008) Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis. J Clin Epidemiol 61(7):646–653PubMedCrossRef Lee CM, Huxley RR, Wildman RP, Woodward M (2008) Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis. J Clin Epidemiol 61(7):646–653PubMedCrossRef
13.
go back to reference Zimmet P, Magliano D, Matsuzawa Y, Alberti G, Shaw J (2005) The metabolic syndrome: a global public health problem and a new definition. J Atheroscler Thromb 12(6):295–300PubMedCrossRef Zimmet P, Magliano D, Matsuzawa Y, Alberti G, Shaw J (2005) The metabolic syndrome: a global public health problem and a new definition. J Atheroscler Thromb 12(6):295–300PubMedCrossRef
14.
go back to reference Harding JL, Shaw JE, Anstey KJ et al (2015) Comparison of anthropometric measures as predictors of cancer incidence: A pooled collaborative analysis of 11 Australian cohorts. Int J Cancer. doi:10.1002/ijc.29529 PubMed Harding JL, Shaw JE, Anstey KJ et al (2015) Comparison of anthropometric measures as predictors of cancer incidence: A pooled collaborative analysis of 11 Australian cohorts. Int J Cancer. doi:10.​1002/​ijc.​29529 PubMed
15.
go back to reference Aune D, Navarro Rosenblatt DA, Chan DS et al (2015) Anthropometric factors and endometrial cancer risk: a systematic review and dose–response meta-analysis of prospective studies. Ann Oncol. doi:10.1093/annonc/mdv142 PubMed Aune D, Navarro Rosenblatt DA, Chan DS et al (2015) Anthropometric factors and endometrial cancer risk: a systematic review and dose–response meta-analysis of prospective studies. Ann Oncol. doi:10.​1093/​annonc/​mdv142 PubMed
16.
go back to reference Steffen A, Huerta JM, Weiderpass E et al (2015) General and abdominal obesity and risk of esophageal and gastric adenocarcinoma in the European Prospective Investigation into Cancer and Nutrition. Int J Cancer 137(3):646–657PubMedCrossRef Steffen A, Huerta JM, Weiderpass E et al (2015) General and abdominal obesity and risk of esophageal and gastric adenocarcinoma in the European Prospective Investigation into Cancer and Nutrition. Int J Cancer 137(3):646–657PubMedCrossRef
17.
go back to reference Roswall N, Freisling H, Bueno-de-Mesquita HB et al (2014) Anthropometric measures and bladder cancer risk: a prospective study in the EPIC cohort. Int J Cancer 135(12):2918–2929PubMedCrossRef Roswall N, Freisling H, Bueno-de-Mesquita HB et al (2014) Anthropometric measures and bladder cancer risk: a prospective study in the EPIC cohort. Int J Cancer 135(12):2918–2929PubMedCrossRef
18.
go back to reference Fedirko V, Romieu I, Aleksandrova K et al (2014) Pre-diagnostic anthropometry and survival after colorectal cancer diagnosis in Western European populations. Int J Cancer 135(8):1949–1960PubMedCrossRef Fedirko V, Romieu I, Aleksandrova K et al (2014) Pre-diagnostic anthropometry and survival after colorectal cancer diagnosis in Western European populations. Int J Cancer 135(8):1949–1960PubMedCrossRef
19.
go back to reference Matsuzawa Y, Nakamura T, Shimomura I, Kotani K (1995) Visceral fat accumulation and cardiovascular disease. Obes Res 3(Suppl 5):645S–647SPubMedCrossRef Matsuzawa Y, Nakamura T, Shimomura I, Kotani K (1995) Visceral fat accumulation and cardiovascular disease. Obes Res 3(Suppl 5):645S–647SPubMedCrossRef
20.
go back to reference Tsujinaka S, Konishi F, Kawamura YJ et al (2008) Visceral obesity predicts surgical outcomes after laparoscopic colectomy for sigmoid colon cancer. Dis Colon Rectum 51(12):1757–1765, discussion 1765–1757 PubMedCrossRef Tsujinaka S, Konishi F, Kawamura YJ et al (2008) Visceral obesity predicts surgical outcomes after laparoscopic colectomy for sigmoid colon cancer. Dis Colon Rectum 51(12):1757–1765, discussion 1765–1757 PubMedCrossRef
21.
go back to reference Hans TS, Seidell JC, Currall JE, Morrison CE, Deurenberg P, Lean ME (1997) The influences of height and age on waist circumference as an index of adiposity in adults. Int J Obes Relat Metab Disord 21(1):83–89CrossRef Hans TS, Seidell JC, Currall JE, Morrison CE, Deurenberg P, Lean ME (1997) The influences of height and age on waist circumference as an index of adiposity in adults. Int J Obes Relat Metab Disord 21(1):83–89CrossRef
22.
go back to reference Schreiner PJ, Terry JG, Evans GW, Hinson WH, Crouse JR 3rd, Heiss G (1996) Sex-specific associations of magnetic resonance imaging-derived intra-abdominal and subcutaneous fat areas with conventional anthropometric indices. The Atherosclerosis Risk in Communities Study. Am J Epidemiol 144(4):335–345PubMedCrossRef Schreiner PJ, Terry JG, Evans GW, Hinson WH, Crouse JR 3rd, Heiss G (1996) Sex-specific associations of magnetic resonance imaging-derived intra-abdominal and subcutaneous fat areas with conventional anthropometric indices. The Atherosclerosis Risk in Communities Study. Am J Epidemiol 144(4):335–345PubMedCrossRef
23.
go back to reference Matsuzawa Y, Shimomura I, Nakamura T, Keno Y, Kotani K, Tokunaga K (1995) Pathophysiology and pathogenesis of visceral fat obesity. Obes Res 3(Suppl 2):187S–194SPubMedCrossRef Matsuzawa Y, Shimomura I, Nakamura T, Keno Y, Kotani K, Tokunaga K (1995) Pathophysiology and pathogenesis of visceral fat obesity. Obes Res 3(Suppl 2):187S–194SPubMedCrossRef
24.
go back to reference Ibrahim MM (2010) Subcutaneous and visceral adipose tissue: structural and functional differences. Obes Rev 11(1):11–18PubMedCrossRef Ibrahim MM (2010) Subcutaneous and visceral adipose tissue: structural and functional differences. Obes Rev 11(1):11–18PubMedCrossRef
25.
go back to reference Fox CS, Massaro JM, Hoffmann U et al (2007) Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation 116(1):39–48PubMedCrossRef Fox CS, Massaro JM, Hoffmann U et al (2007) Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation 116(1):39–48PubMedCrossRef
26.
go back to reference Otake S, Takeda H, Suzuki Y et al (2005) Association of visceral fat accumulation and plasma adiponectin with colorectal adenoma: evidence for participation of insulin resistance. Clin Cancer Res 11(10):3642–3646PubMedCrossRef Otake S, Takeda H, Suzuki Y et al (2005) Association of visceral fat accumulation and plasma adiponectin with colorectal adenoma: evidence for participation of insulin resistance. Clin Cancer Res 11(10):3642–3646PubMedCrossRef
27.
go back to reference van Kruijsdijk RC, van der Wall E, Visseren FL (2009) Obesity and cancer: the role of dysfunctional adipose tissue. Cancer Epidemiol Biomarkers Prev 18(10):2569–2578PubMedCrossRef van Kruijsdijk RC, van der Wall E, Visseren FL (2009) Obesity and cancer: the role of dysfunctional adipose tissue. Cancer Epidemiol Biomarkers Prev 18(10):2569–2578PubMedCrossRef
28.
go back to reference Baumgartner RN, Koehler KM, Gallagher D et al (1998) Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol 147(8):755–763PubMedCrossRef Baumgartner RN, Koehler KM, Gallagher D et al (1998) Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol 147(8):755–763PubMedCrossRef
29.
go back to reference Goodpaster BH, Park SW, Harris TB et al (2006) The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. J Gerontol A Biol Sci Med Sci 61(10):1059–1064PubMedCrossRef Goodpaster BH, Park SW, Harris TB et al (2006) The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. J Gerontol A Biol Sci Med Sci 61(10):1059–1064PubMedCrossRef
30.
go back to reference Cruz-Jentoft AJ, Baeyens JP, Bauer JM et al (2010) Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing 39(4):412–423PubMedCentralPubMedCrossRef Cruz-Jentoft AJ, Baeyens JP, Bauer JM et al (2010) Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing 39(4):412–423PubMedCentralPubMedCrossRef
31.
32.
go back to reference Muscaritoli M, Anker SD, Argiles J et al (2010) Consensus definition of sarcopenia, cachexia and pre-cachexia: joint document elaborated by Special Interest Groups (SIG) "cachexia-anorexia in chronic wasting diseases" and "nutrition in geriatrics". Clin Nutr 29(2):154–159PubMedCrossRef Muscaritoli M, Anker SD, Argiles J et al (2010) Consensus definition of sarcopenia, cachexia and pre-cachexia: joint document elaborated by Special Interest Groups (SIG) "cachexia-anorexia in chronic wasting diseases" and "nutrition in geriatrics". Clin Nutr 29(2):154–159PubMedCrossRef
33.
go back to reference Fearon K, Strasser F, Anker SD et al (2011) Definition and classification of cancer cachexia: an international consensus. Lancet Oncol 12(5):489–495PubMedCrossRef Fearon K, Strasser F, Anker SD et al (2011) Definition and classification of cancer cachexia: an international consensus. Lancet Oncol 12(5):489–495PubMedCrossRef
34.
go back to reference Stenholm S, Harris TB, Rantanen T, Visser M, Kritchevsky SB, Ferrucci L (2008) Sarcopenic obesity: definition, cause and consequences. Curr Opin Clin Nutr Metab Care 11(6):693–700PubMedCentralPubMedCrossRef Stenholm S, Harris TB, Rantanen T, Visser M, Kritchevsky SB, Ferrucci L (2008) Sarcopenic obesity: definition, cause and consequences. Curr Opin Clin Nutr Metab Care 11(6):693–700PubMedCentralPubMedCrossRef
35.
36.
go back to reference Schrager MA, Metter EJ, Simonsick E et al (2007) Sarcopenic obesity and inflammation in the InCHIANTI study. J Appl Physiol (1985) 102(3):919–925CrossRef Schrager MA, Metter EJ, Simonsick E et al (2007) Sarcopenic obesity and inflammation in the InCHIANTI study. J Appl Physiol (1985) 102(3):919–925CrossRef
37.
38.
go back to reference Thompson DL, Thompson WR, Prestridge TJ et al (1991) Effects of hydration and dehydration on body composition analysis: a comparative study of bioelectric impedance analysis and hydrodensitometry. J Sports Med Phys Fitness 31(4):565–570PubMed Thompson DL, Thompson WR, Prestridge TJ et al (1991) Effects of hydration and dehydration on body composition analysis: a comparative study of bioelectric impedance analysis and hydrodensitometry. J Sports Med Phys Fitness 31(4):565–570PubMed
39.
go back to reference Yoshida D, Shimada H, Park H et al (2014) Development of an equation for estimating appendicular skeletal muscle mass in Japanese older adults using bioelectrical impedance analysis. Geriatr Gerontol Int 14(4):851–857PubMedCrossRef Yoshida D, Shimada H, Park H et al (2014) Development of an equation for estimating appendicular skeletal muscle mass in Japanese older adults using bioelectrical impedance analysis. Geriatr Gerontol Int 14(4):851–857PubMedCrossRef
40.
go back to reference Yoshida D, Suzuki T, Shimada H et al (2014) Using two different algorithms to determine the prevalence of sarcopenia. Geriatr Gerontol Int 14(Suppl 1):46–51PubMedCrossRef Yoshida D, Suzuki T, Shimada H et al (2014) Using two different algorithms to determine the prevalence of sarcopenia. Geriatr Gerontol Int 14(Suppl 1):46–51PubMedCrossRef
41.
go back to reference Albanese CV, Diessel E, Genant HK (2003) Clinical applications of body composition measurements using DXA. J Clin Densitom 6(2):75–85PubMedCrossRef Albanese CV, Diessel E, Genant HK (2003) Clinical applications of body composition measurements using DXA. J Clin Densitom 6(2):75–85PubMedCrossRef
42.
go back to reference Rothney MP, Brychta RJ, Schaefer EV, Chen KY, Skarulis MC (2009) Body composition measured by dual-energy X-ray absorptiometry half-body scans in obese adults. Obesity (Silver Spring) 17(6):1281–1286 Rothney MP, Brychta RJ, Schaefer EV, Chen KY, Skarulis MC (2009) Body composition measured by dual-energy X-ray absorptiometry half-body scans in obese adults. Obesity (Silver Spring) 17(6):1281–1286
43.
44.
45.
go back to reference Shepherd JA, Fan B, Lu Y et al (2012) A multinational study to develop universal standardization of whole-body bone density and composition using GE Healthcare Lunar and Hologic DXA systems. J Bone Miner Res 27(10):2208–2216PubMedCrossRef Shepherd JA, Fan B, Lu Y et al (2012) A multinational study to develop universal standardization of whole-body bone density and composition using GE Healthcare Lunar and Hologic DXA systems. J Bone Miner Res 27(10):2208–2216PubMedCrossRef
46.
go back to reference Tylavsky FA, Lohman TG, Dockrell M et al (2003) Comparison of the effectiveness of 2 dual-energy X-ray absorptiometers with that of total body water and computed tomography in assessing changes in body composition during weight change. Am J Clin Nutr 77(2):356–363PubMed Tylavsky FA, Lohman TG, Dockrell M et al (2003) Comparison of the effectiveness of 2 dual-energy X-ray absorptiometers with that of total body water and computed tomography in assessing changes in body composition during weight change. Am J Clin Nutr 77(2):356–363PubMed
47.
go back to reference Baracos VE, Reiman T, Mourtzakis M, Gioulbasanis I, Antoun S (2010) Body composition in patients with non-small cell lung cancer: a contemporary view of cancer cachexia with the use of computed tomography image analysis. Am J Clin Nutr 91(4):1133S–1137SPubMedCrossRef Baracos VE, Reiman T, Mourtzakis M, Gioulbasanis I, Antoun S (2010) Body composition in patients with non-small cell lung cancer: a contemporary view of cancer cachexia with the use of computed tomography image analysis. Am J Clin Nutr 91(4):1133S–1137SPubMedCrossRef
48.
go back to reference Tan BH, Birdsell LA, Martin L, Baracos VE, Fearon KC (2009) Sarcopenia in an overweight or obese patient is an adverse prognostic factor in pancreatic cancer. Clin Cancer Res 15(22):6973–6979PubMedCrossRef Tan BH, Birdsell LA, Martin L, Baracos VE, Fearon KC (2009) Sarcopenia in an overweight or obese patient is an adverse prognostic factor in pancreatic cancer. Clin Cancer Res 15(22):6973–6979PubMedCrossRef
49.
go back to reference Mourtzakis M, Prado CM, Lieffers JR, Reiman T, McCargar LJ, Baracos VE (2008) A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Appl Physiol Nutr Metab 33(5):997–1006PubMedCrossRef Mourtzakis M, Prado CM, Lieffers JR, Reiman T, McCargar LJ, Baracos VE (2008) A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Appl Physiol Nutr Metab 33(5):997–1006PubMedCrossRef
50.
go back to reference Mitsiopoulos N, Baumgartner RN, Heymsfield SB, Lyons W, Gallagher D, Ross R (1998) Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography. J Appl Physiol (1985) 85(1):115–122 Mitsiopoulos N, Baumgartner RN, Heymsfield SB, Lyons W, Gallagher D, Ross R (1998) Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography. J Appl Physiol (1985) 85(1):115–122
51.
go back to reference Seidell JC, Bakker CJ, van der Kooy K (1990) Imaging techniques for measuring adipose-tissue distribution–a comparison between computed tomography and 1.5-T magnetic resonance. Am J Clin Nutr 51(6):953–957PubMed Seidell JC, Bakker CJ, van der Kooy K (1990) Imaging techniques for measuring adipose-tissue distribution–a comparison between computed tomography and 1.5-T magnetic resonance. Am J Clin Nutr 51(6):953–957PubMed
52.
go back to reference Brennan DD, Whelan PF, Robinson K et al (2005) Rapid automated measurement of body fat distribution from whole-body MRI. AJR Am J Roentgenol 185(2):418–423PubMedCrossRef Brennan DD, Whelan PF, Robinson K et al (2005) Rapid automated measurement of body fat distribution from whole-body MRI. AJR Am J Roentgenol 185(2):418–423PubMedCrossRef
53.
go back to reference Shen W, Punyanitya M, Wang Z et al (2004) Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol (1985) 97(6):2333–2338CrossRef Shen W, Punyanitya M, Wang Z et al (2004) Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol (1985) 97(6):2333–2338CrossRef
54.
go back to reference Warren M, Schreiner PJ, Terry JG (2006) The relation between visceral fat measurement and torso level—is one level better than another? The Atherosclerosis Risk in Communities Study, 1990–1992. Am J Epidemiol 163(4):352–358PubMedCrossRef Warren M, Schreiner PJ, Terry JG (2006) The relation between visceral fat measurement and torso level—is one level better than another? The Atherosclerosis Risk in Communities Study, 1990–1992. Am J Epidemiol 163(4):352–358PubMedCrossRef
55.
go back to reference Balentine CJ, Marshall C, Robinson C et al (2010) Validating quantitative obesity measurements in colorectal cancer patients. J Surg Res 164(1):18–22PubMedCrossRef Balentine CJ, Marshall C, Robinson C et al (2010) Validating quantitative obesity measurements in colorectal cancer patients. J Surg Res 164(1):18–22PubMedCrossRef
56.
go back to reference Thibault R, Pichard C (2012) The evaluation of body composition: a useful tool for clinical practice. Ann Nutr Metab 60(1):6–16PubMedCrossRef Thibault R, Pichard C (2012) The evaluation of body composition: a useful tool for clinical practice. Ann Nutr Metab 60(1):6–16PubMedCrossRef
57.
go back to reference Foster MA, Hutchison JM, Mallard JR, Fuller M (1984) Nuclear magnetic resonance pulse sequence and discrimination of high- and low-fat tissues. Magn Reson Imaging 2(3):187–192PubMedCrossRef Foster MA, Hutchison JM, Mallard JR, Fuller M (1984) Nuclear magnetic resonance pulse sequence and discrimination of high- and low-fat tissues. Magn Reson Imaging 2(3):187–192PubMedCrossRef
58.
go back to reference Fowler PA, Fuller MF, Glasbey CA et al (1991) Total and subcutaneous adipose tissue in women: the measurement of distribution and accurate prediction of quantity by using magnetic resonance imaging. Am J Clin Nutr 54(1):18–25PubMed Fowler PA, Fuller MF, Glasbey CA et al (1991) Total and subcutaneous adipose tissue in women: the measurement of distribution and accurate prediction of quantity by using magnetic resonance imaging. Am J Clin Nutr 54(1):18–25PubMed
59.
go back to reference Machann J, Thamer C, Schnoedt B et al (2005) Standardized assessment of whole body adipose tissue topography by MRI. J Magn Reson Imaging 21(4):455–462PubMedCrossRef Machann J, Thamer C, Schnoedt B et al (2005) Standardized assessment of whole body adipose tissue topography by MRI. J Magn Reson Imaging 21(4):455–462PubMedCrossRef
60.
go back to reference Abate N, Burns D, Peshock RM, Garg A, Grundy SM (1994) Estimation of adipose tissue mass by magnetic resonance imaging: validation against dissection in human cadavers. J Lipid Res 35(8):1490–1496PubMed Abate N, Burns D, Peshock RM, Garg A, Grundy SM (1994) Estimation of adipose tissue mass by magnetic resonance imaging: validation against dissection in human cadavers. J Lipid Res 35(8):1490–1496PubMed
61.
go back to reference Abate N, Garg A, Coleman R, Grundy SM, Peshock RM (1997) Prediction of total subcutaneous abdominal, intraperitoneal, and retroperitoneal adipose tissue masses in men by a single axial magnetic resonance imaging slice. Am J Clin Nutr 65(2):403–408PubMed Abate N, Garg A, Coleman R, Grundy SM, Peshock RM (1997) Prediction of total subcutaneous abdominal, intraperitoneal, and retroperitoneal adipose tissue masses in men by a single axial magnetic resonance imaging slice. Am J Clin Nutr 65(2):403–408PubMed
62.
go back to reference Coombs BD, Szumowski J, Coshow W (1997) Two-point Dixon technique for water-fat signal decomposition with B0 inhomogeneity correction. Magn Reson Med 38(6):884–889PubMedCrossRef Coombs BD, Szumowski J, Coshow W (1997) Two-point Dixon technique for water-fat signal decomposition with B0 inhomogeneity correction. Magn Reson Med 38(6):884–889PubMedCrossRef
64.
go back to reference Glover GH, Schneider E (1991) Three-point Dixon technique for true water/fat decomposition with B0 inhomogeneity correction. Magn Reson Med 18(2):371–383PubMedCrossRef Glover GH, Schneider E (1991) Three-point Dixon technique for true water/fat decomposition with B0 inhomogeneity correction. Magn Reson Med 18(2):371–383PubMedCrossRef
65.
go back to reference Liu M, Chino N, Ishihara T (1993) Muscle damage progression in Duchenne muscular dystrophy evaluated by a new quantitative computed tomography method. Arch Phys Med Rehabil 74(5):507–514PubMedCrossRef Liu M, Chino N, Ishihara T (1993) Muscle damage progression in Duchenne muscular dystrophy evaluated by a new quantitative computed tomography method. Arch Phys Med Rehabil 74(5):507–514PubMedCrossRef
66.
go back to reference Visser M, Kritchevsky SB, Goodpaster BH et al (2002) Leg muscle mass and composition in relation to lower extremity performance in men and women aged 70 to 79: the health, aging and body composition study. J Am Geriatr Soc 50(5):897–904PubMedCrossRef Visser M, Kritchevsky SB, Goodpaster BH et al (2002) Leg muscle mass and composition in relation to lower extremity performance in men and women aged 70 to 79: the health, aging and body composition study. J Am Geriatr Soc 50(5):897–904PubMedCrossRef
67.
go back to reference Martin L, Birdsell L, Macdonald N et al (2013) Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol 31(12):1539–1547PubMedCrossRef Martin L, Birdsell L, Macdonald N et al (2013) Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol 31(12):1539–1547PubMedCrossRef
68.
go back to reference Awad S, Tan BH, Cui H et al (2012) Marked changes in body composition following neoadjuvant chemotherapy for oesophagogastric cancer. Clin Nutr 31(1):74–77PubMedCrossRef Awad S, Tan BH, Cui H et al (2012) Marked changes in body composition following neoadjuvant chemotherapy for oesophagogastric cancer. Clin Nutr 31(1):74–77PubMedCrossRef
69.
go back to reference Yip C, Goh V, Davies A et al (2014) Assessment of sarcopenia and changes in body composition after neoadjuvant chemotherapy and associations with clinical outcomes in oesophageal cancer. Eur Radiol 24(5):998–1005PubMedCrossRef Yip C, Goh V, Davies A et al (2014) Assessment of sarcopenia and changes in body composition after neoadjuvant chemotherapy and associations with clinical outcomes in oesophageal cancer. Eur Radiol 24(5):998–1005PubMedCrossRef
70.
go back to reference Prado CM, Baracos VE, McCargar LJ et al (2009) Sarcopenia as a determinant of chemotherapy toxicity and time to tumor progression in metastatic breast cancer patients receiving capecitabine treatment. Clin Cancer Res 15(8):2920–2926PubMedCrossRef Prado CM, Baracos VE, McCargar LJ et al (2009) Sarcopenia as a determinant of chemotherapy toxicity and time to tumor progression in metastatic breast cancer patients receiving capecitabine treatment. Clin Cancer Res 15(8):2920–2926PubMedCrossRef
71.
go back to reference Griggs JJ, Mangu PB, Anderson H et al (2012) Appropriate chemotherapy dosing for obese adult patients with cancer: American Society of Clinical Oncology clinical practice guideline. J Clin Oncol 30(13):1553–1561PubMedCrossRef Griggs JJ, Mangu PB, Anderson H et al (2012) Appropriate chemotherapy dosing for obese adult patients with cancer: American Society of Clinical Oncology clinical practice guideline. J Clin Oncol 30(13):1553–1561PubMedCrossRef
72.
go back to reference Huxley R, Mendis S, Zheleznyakov E, Reddy S, Chan J (2010) Body mass index, waist circumference and waist:hip ratio as predictors of cardiovascular risk–a review of the literature. Eur J Clin Nutr 64(1):16–22PubMedCrossRef Huxley R, Mendis S, Zheleznyakov E, Reddy S, Chan J (2010) Body mass index, waist circumference and waist:hip ratio as predictors of cardiovascular risk–a review of the literature. Eur J Clin Nutr 64(1):16–22PubMedCrossRef
Metadata
Title
Imaging body composition in cancer patients: visceral obesity, sarcopenia and sarcopenic obesity may impact on clinical outcome
Authors
Connie Yip
Charlotte Dinkel
Abhishek Mahajan
Musib Siddique
Gary J. R. Cook
Vicky Goh
Publication date
01-08-2015
Publisher
Springer Berlin Heidelberg
Published in
Insights into Imaging / Issue 4/2015
Electronic ISSN: 1869-4101
DOI
https://doi.org/10.1007/s13244-015-0414-0

Other articles of this Issue 4/2015

Insights into Imaging 4/2015 Go to the issue