A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients

Journal of Cachexia, Sarcopenia and Muscle

Volumn 8, Issue 2, 2017, Pages 285-297

  van Vugt, Jeroen L A ^a   Levolger, Stef ^a   Gharbharan, Arvind ^a   Koek, Marcel ^a   Niessen, Wiro J ^a,b   Burger, Jacobus W A ^a   Willemsen, Sten P ^a   de Bruin, Ron W F ^a   IJzermans, Jan N M ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Adipose tissue mass; Body composition; Comparability; Computed tomography; Skeletal muscle mass; Software

Indexed keywords

ABDOMINAL OBESITY; ABDOMINAL RADIOGRAPHY; ABDOMINAL WALL MUSCULATURE; ADIPOSE TISSUE; ADULT; AGED; ARTICLE; CANCER PATIENT; CLINICAL ARTICLE; COMPARATIVE STUDY; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; CORRELATION COEFFICIENT; CROSS-SECTIONAL STUDY; FEMALE; HUMAN; INTRAPERITONEAL FAT; MALE; MEASUREMENT; OBLIQUE ABDOMINAL MUSCLE; PARASPINAL MUSCLE; PRIORITY JOURNAL; PSOAS MUSCLE; RECTUM CANCER; RECTUS ABDOMINIS MUSCLE; SARCOPENIA; SKELETAL MUSCLE; SOFTWARE; SUBCUTANEOUS FAT; ABDOMEN; ANATOMY AND HISTOLOGY; DIAGNOSTIC IMAGING; INTRA-ABDOMINAL FAT; MIDDLE AGED; OBSERVER VARIATION; RECTUM TUMOR; VERY ELDERLY; X-RAY COMPUTED TOMOGRAPHY;

ABDOMEN; ADULT; AGED; AGED, 80 AND OVER; FEMALE; HUMANS; INTRA-ABDOMINAL FAT; MALE; MIDDLE AGED; MUSCLE, SKELETAL; OBSERVER VARIATION; RECTAL NEOPLASMS; SOFTWARE; SUBCUTANEOUS FAT; TOMOGRAPHY, X-RAY COMPUTED;

EID: 85005992069     PISSN: 21905991     EISSN: 21906009     Source Type: Journal    
DOI: 10.1002/jcsm.12158     Document Type: Article

References (58)

1. Leo S, Accettura C, Gnoni A, Licchetta A, Giampaglia M, Mauro A, Saracino V, Carr BI. Systemic treatment of gastrointestinal cancer in elderly patients. J Gastrointest Cancer 2013;44:22–32.
2. Englesbe MJ, Lee JS, He K, Fan L, Schaubel DE, Sheetz KH, Harbaugh CM, Holcombe SA, Campbell DA Jr, Sonnenday CJ, Wang SC. Analytic morphomics, core muscle size, and surgical outcomes. Ann Surg 2012;256:255–61.
3. Fried LP, Hadley EC, Walston JD, Newman AB, Guralnik JM, Studenski S, Harris TB, Ershler WB, Ferrucci L. From bedside to bench: research agenda for frailty. Sci Aging Knowledge Environ 2005;2005:pe24.
4. Robinson TN, Wu DS, Stiegmann GV, Moss M. Frailty predicts increased hospital and six-month healthcare cost following colorectal surgery in older adults. Am J Surg 2011;202:511–4.
5. Tan KY, Kawamura YJ, Tokomitsu A, Tang T. Assessment for frailty is useful for predicting morbidity in elderly patients undergoing colorectal cancer resection whose comorbidities are already optimized. Am J Surg 2012;204:139–43.
6. Tegels JJ, de Maat MF, Hulsewe KW, Hoofwijk AG, Stoot JH. Value of geriatric frailty and nutritional status assessment in predicting postoperative mortality in gastric cancer surgery. J Gastrointest Surg 2014.
7. Reisinger KW, van Vugt JL, Tegels JJ, Snijders C, Hulsewe KW, Hoofwijk AG, Stoot JH, Von Meyenfeldt MF, Beets GL, Derikx JP, Poeze M. Functional compromise reflected by sarcopenia, frailty, and nutritional depletion predicts adverse postoperative outcome after colorectal cancer surgery. Ann Surg 2015;261:345–52.
8. Rolland Y. Abellan van Kan G, Gillette-Guyonnet S, and Vellas B. Cachexia versus sarcopenia. Curr Opin Clin Nutr Metab Care 2011;14:15–21.
9. Cooper C, Dere W, Evans W, Kanis JA, Rizzoli R, Sayer AA, Sieber CC, Kaufman JM. Abellan van Kan G, Boonen S, Adachi J, Mitlak B, Tsouderos Y, Rolland Y, and Reginster JY. Frailty and sarcopenia: definitions and outcome parameters. Osteoporos Int 2012;23:1839–48.
10. Marzetti E, Leeuwenburgh C. Skeletal muscle apoptosis, sarcopenia and frailty at old age. Exp Gerontol 2006;41:1234–8.
11. Roubenoff R. Sarcopenia: a major modifiable cause of frailty in the elderly. J Nutr Health Aging 2000;4:140–2.
12. Baumgartner RN, Koehler KM, Gallagher D, Romero L, Heymsfield SB, Ross RR, Garry PJ, Lindeman RD. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol 1998;147:755–63.
13. Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL, Jatoi A, Loprinzi C, MacDonald N, Mantovani G, Davis M, Muscaritoli M, Ottery F, Radbruch L, Ravasco P, Walsh D, Wilcock A, Kaasa S, Baracos VE. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol 2011;12:489–95.
14. Evans WJ. Skeletal muscle loss: cachexia, sarcopenia, and inactivity. Am J Clin Nutr 2010;91:1123S–7S.
15. Evans WJ, Morley JE, Argiles J, Bales C, Baracos V, Guttridge D, Jatoi A, Kalantar-Zadeh K, Lochs H, Mantovani G, Marks D, Mitch WE, Muscaritoli M, Najand A, Ponikowski P, Rossi Fanelli F, Schambelan M, Schols A, Schuster M, Thomas D, Wolfe R, Anker SD. Cachexia: a new definition. Clin Nutr 2008;27:793–9.
16. Bachmann J, Heiligensetzer M, Krakowski-Roosen H, Buchler MW, Friess H, Martignoni ME. Cachexia worsens prognosis in patients with resectable pancreatic cancer. J Gastrointest Surg 2008;12:1193–201.
17. Antoun S, Baracos VE, Birdsell L, Escudier B, Sawyer MB. Low body mass index and sarcopenia associated with dose-limiting toxicity of sorafenib in patients with renal cell carcinoma. Ann Oncol 2010;21:1594–8.
18. Prado CM, Baracos VE, McCargar LJ, Reiman T, Mourtzakis M, Tonkin K, Mackey JR, Koski S, Pituskin E, Sawyer MB. Sarcopenia as a determinant of chemotherapy toxicity and time to tumor progression in metastatic breast cancer patients receiving capecitabine treatment. Clin Cancer Res 2009;15:2920–6.
19. Fearon KC. Cancer cachexia: developing multimodal therapy for a multidimensional problem. Eur J Cancer 2008;44:1124–32.
20. Tisdale MJ. Mechanisms of cancer cachexia. Physiol Rev 2009;89:381–410.
21. Acharyya S, Butchbach ME, Sahenk Z, Wang H, Saji M, Carathers M, Ringel MD, Skipworth RJ, Fearon KC, Hollingsworth MA, Muscarella P, Burghes AH, Rafael-Fortney JA, Guttridge DC. Dystrophin glycoprotein complex dysfunction: a regulatory link between muscular dystrophy and cancer cachexia. Cancer Cell 2005;8:421–32.
22. Loberg RD, Bradley DA, Tomlins SA, Chinnaiyan AM, Pienta KJ. The lethal phenotype of cancer: the molecular basis of death due to malignancy. CA Cancer J Clin 2007;57:225–41.
23. Prado CM, Lieffers JR, McCargar LJ, Reiman T, Sawyer MB, Martin L, Baracos VE. Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol 2008;9:629–35.
24. Huillard O, Mir O, Peyromaure M, Tlemsani C, Giroux J, Boudou-Rouquette P, Ropert S, Delongchamps NB, Zerbib M, Goldwasser F. Sarcopenia and body mass index predict sunitinib-induced early dose-limiting toxicities in renal cancer patients. Br J Cancer 2013;108:1034–41.
25. Antoun S, Borget I, Lanoy E. Impact of sarcopenia on the prognosis and treatment toxicities in patients diagnosed with cancer. Curr Opin Support Palliat Care 2013;7:383–9.
26. Levolger S, van Vugt JL, de Bruin RW, IJzermans JN. Systematic review of sarcopenia in patients operated on for gastrointestinal and hepatopancreatobiliary malignancies. Br J Surg 2015;102:1448–58.
27. Lee JS, He K, Harbaugh CM, Schaubel DE, Sonnenday CJ, Wang SC, Englesbe MJ, Eliason JL, Michigan Analytic Morphomics G. Frailty, core muscle size, and mortality in patients undergoing open abdominal aortic aneurysm repair. J Vasc Surg 2011;53:912–7.
28. Carey EJ. Sarcopenia in solid organ transplantation. Nutr Clin Pract 2014;29:159–70.
29. van Vugt JL, Levolger S, de Bruin RW, van Rosmalen J, Metselaar HJ, IJzermans JN. Systematic review and meta-analysis of the impact of computed tomography assessed skeletal muscle mass on outcome in patients awaiting or undergoing liver transplantation. Am J Transplant 2016 Aug;16:2277–2292.
30. Cakir H, Heus C, van der Ploeg TJ, Houdijk AP. Visceral obesity determined by CT scan and outcomes after colorectal surgery; a systematic review and meta-analysis. Int J Colorectal Dis 2015;30:875–82.
31. Cecchini S, Cavazzini E, Marchesi F, Sarli L, Roncoroni L. Computed tomography volumetric fat parameters versus body mass index for predicting short-term outcomes of colon surgery. World J Surg 2011;35:415–23.
32. Jung M, Volonte F, Buchs NC, Gayet-Ageron A, Pugin F, Gervaz P, Ris F, Morel P. Perirenal fat surface area as a risk factor for morbidity after elective colorectal surgery. Dis Colon Rectum 2014;57:201–9.
33. van Vledder MG, Levolger S, Ayez N, Verhoef C, Tran TC, Ijzermans JN. Body composition and outcome in patients undergoing resection of colorectal liver metastases. Br J Surg 2012;99:550–7.
34. Doyle SL, Bennett AM, Donohoe CL, Mongan AM, Howard JM, Lithander FE, Pidgeon GP, Reynolds JV, Lysaght J. Establishing computed tomography-defined visceral fat area thresholds for use in obesity-related cancer research. Nutr Res 2013;33:171–9.
35. Mitsiopoulos N, Baumgartner RN, Heymsfield SB, Lyons W, Gallagher D, Ross R. Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography. J Appl Physiol (1985) 1998;85:115–22.
36. Yoshizumi T, Nakamura T, Yamane M, Islam AH, Menju M, Yamasaki K, Arai T, Kotani K, Funahashi T, Yamashita S, Matsuzawa Y. Abdominal fat: standardized technique for measurement at CT. Radiology 1999;211:283–6.
37. Gomez-Perez SL, Haus JM, Sheean P, Patel B, Mar W, Chaudhry V, McKeever L, Braunschweig C. Measuring abdominal circumference and skeletal muscle from a single cross-sectional computed tomography image: a step-by-step guide for clinicians using National Institutes of Health ImageJ. JPEN J Parenter Enteral Nutr 2016;40:308–18.
38. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1:307–10.
39. Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull 1979;86:420–8.
40. Jaccard P. Étude comparative de la distribution florale dans une portion des alpes et des jura. Bulletin de la Société Vaudoise des Sciences Naturelles 1901;37:547–79.
41. Sharma P, Zargar-Shoshtari K, Caracciolo JT, Richard GJ, Poch MA, Pow-Sang J, Sexton WJ, Spiess PE. Sarcopenia as a predictor of complications in penile cancer patients undergoing inguinal lymph node dissection. World J Urol 2015;33:1585–1592.
42. Wan F, Zhu Y, Gu C, Yao X, Shen Y, Dai B, Zhang S, Zhang H, Cheng J, Ye D. Lower skeletal muscle index and early complications in patients undergoing radical cystectomy for bladder cancer. World J Surg Oncol 2014;12:14.
43. Miller BS, Ignatoski KM, Daignault S, Lindland C, Doherty M, Gauger PG, Hammer GD, Wang SC. Doherty GM, and University of Michigan Analytical Morphomics G. Worsening central sarcopenia and increasing intra-abdominal fat correlate with decreased survival in patients with adrenocortical carcinoma. World J Surg 2012;36:1509–16.
44. Kuroki LM, Mangano M, Allsworth JE, Menias CO, Massad LS, Powell MA, Mutch DG, Thaker PH. Pre-operative assessment of muscle mass to predict surgical complications and prognosis in patients with endometrial cancer. Ann Surg Oncol 2015;22:972–979.
45. Fairchild B, Webb TP, Xiang Q, Tarima S, Brasel KJ. Sarcopenia and frailty in elderly trauma patients. World J Surg 2014;39:373–379.
46. Mir O, Coriat R, Blanchet B, Durand JP, Boudou-Rouquette P, Michels J, Ropert S, Vidal M, Pol S, Chaussade S, Goldwasser F. Sarcopenia predicts early dose-limiting toxicities and pharmacokinetics of sorafenib in patients with hepatocellular carcinoma. PLoS One 2012;7:e37563:.
47. Collins J, Noble S, Chester J, Coles B, Byrne A. The assessment and impact of sarcopenia in lung cancer: a systematic literature review. BMJ Open 2014;4:e003697:.
48. Sabel MS, Lee J, Cai S, Englesbe MJ, Holcombe S, Wang S. Sarcopenia as a prognostic factor among patients with stage III melanoma. Ann Surg Oncol 2011;18:3579–85.
49. Englesbe MJ, Patel SP, He K, Lynch RJ, Schaubel DE, Harbaugh C, Holcombe SA, Wang SC, Segev DL, Sonnenday CJ. Sarcopenia and mortality after liver transplantation. J Am Coll Surg 2010;211:271–8.
50. Irving BA, Weltman JY, Brock DW, Davis CK, Gaesser GA, Weltman A. NIH ImageJ and Slice-O-Matic computed tomography imaging software to quantify soft tissue. Obesity (Silver Spring) 2007;15:370–6.
51. Wu GA, Bogie K. Assessment of gluteus maximus muscle area with different image analysis programs. Arch Phys Med Rehabil 2009;90:1048–54.
52. Strandberg S, Wretling ML, Wredmark T, Shalabi A. Reliability of computed tomography measurements in assessment of thigh muscle cross-sectional area and attenuation. BMC Med Imaging 2010;10:18.
53. Dello SA, Stoot JH, van Stiphout RS, Bloemen JG, Wigmore SJ, Dejong CH, van Dam RM. Prospective volumetric assessment of the liver on a personal computer by nonradiologists prior to partial hepatectomy. World J Surg 2011;35:386–92.
54. Richards CH, Roxburgh CS, MacMillan MT, Isswiasi S, Robertson EG, Guthrie GK, Horgan PG, McMillan DC. The relationships between body composition and the systemic inflammatory response in patients with primary operable colorectal cancer. PLoS One 2012;7:e41883:.
55. Cruz RJ Jr, Dew MA, Myaskovsky L, Goodpaster B, Fox K, Fontes P, DiMartini A. Objective radiologic assessment of body composition in patients with end-stage liver disease: going beyond the BMI. Transplantation 2013;95:617–22.
56. Fortin M, Battie MC. Quantitative paraspinal muscle measurements: inter-software reliability and agreement using OsiriX and ImageJ. Phys Ther 2012;92:853–64.
57. Shen W, Punyanitya M, Wang Z, Gallagher D, St-Onge MP, Albu J, Heymsfield SB, Heshka S. Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol (1985) 2004;97:2333–8.
58. von Haehling S, Morley JE, Coats AJS, Anker SD. Ethical guidelines for publishing in the Journal of Cachexia, Sarcopenia and Muscle: update 2015. J Cachexia Sarcopenia Muscle 2015;6:315–6.