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

The association between body composition (e.g. sarcopenia or visceral obesity) and treatment outcomes, such as survival, using single‐slice computed tomography (CT)‐based measurements has recently been studied in various patient groups. These studies have been conducted with different software programmes, each with their specific characteristics, of which the inter‐observer, intra‐observer, and inter‐software correlation are unknown. Therefore, a comparative study was performed.

[1]  T. Ploeg,et al.  Visceral obesity determined by CT scan and outcomes after colorectal surgery; a systematic review and meta-analysis , 2015, International Journal of Colorectal Disease.

[2]  Stephen J. Wigmore,et al.  Prospective Volumetric Assessment of the Liver on a Personal Computer by Nonradiologists Prior to Partial Hepatectomy , 2010, World Journal of Surgery.

[3]  Gary A Wu,et al.  Assessment of gluteus maximus muscle area with different image analysis programs. , 2009, Archives of physical medicine and rehabilitation.

[4]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[5]  Y. Rolland,et al.  Cachexia versus sarcopenia , 2011, Current opinion in clinical nutrition and metabolic care.

[6]  K. Pienta,et al.  The Lethal Phenotype of Cancer: The Molecular Basis of Death Due to Malignancy , 2007, CA: a cancer journal for clinicians.

[7]  P. Thaker,et al.  Pre-operative Assessment of Muscle Mass to Predict Surgical Complications and Prognosis in Patients With Endometrial Cancer , 2014, Annals of Surgical Oncology.

[8]  Douglas E Schaubel,et al.  Sarcopenia and mortality after liver transplantation. , 2010, Journal of the American College of Surgeons.

[9]  D. McMillan,et al.  The Relationships between Body Composition and the Systemic Inflammatory Response in Patients with Primary Operable Colorectal Cancer , 2012, PloS one.

[10]  J. Reynolds,et al.  Establishing computed tomography-defined visceral fat area thresholds for use in obesity-related cancer research. , 2013, Nutrition research.

[11]  J. Pow-Sang,et al.  Sarcopenia as a predictor of complications in penile cancer patients undergoing inguinal lymph node dissection , 2014, World Journal of Urology.

[12]  M. V. Van Vledder,et al.  Body composition and outcome in patients undergoing resection of colorectal liver metastases , 2012, The British journal of surgery.

[13]  Stanley Heshka,et al.  Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. , 2004, Journal of applied physiology.

[14]  S. Yamashita,et al.  Abdominal fat: standardized technique for measurement at CT. , 1999, Radiology.

[15]  S. Tarima,et al.  Sarcopenia and Frailty in Elderly Trauma Patients , 2015, World Journal of Surgery.

[16]  Swarnali Acharyya,et al.  Dystrophin glycoprotein complex dysfunction: a regulatory link between muscular dystrophy and cancer cachexia. , 2005, Cancer cell.

[17]  M. Englesbe,et al.  Frailty, core muscle size, and mortality in patients undergoing open abdominal aortic aneurysm repair. , 2011, Journal of vascular surgery.

[18]  R. Roubenoff Sarcopenia: a major modifiable cause of frailty in the elderly. , 2000, The journal of nutrition, health & aging.

[19]  C. Leeuwenburgh,et al.  Skeletal muscle apoptosis, sarcopenia and frailty at old age , 2006, Experimental Gerontology.

[20]  Geerard L Beets,et al.  Functional compromise reflected by sarcopenia, frailty, and nutritional depletion predicts adverse postoperative outcome after colorectal cancer surgery. , 2015, Annals of surgery.

[21]  T. Robinson,et al.  Frailty predicts increased hospital and six-month healthcare cost following colorectal surgery in older adults. , 2011, American journal of surgery.

[22]  Adel Shalabi,et al.  Reliability of computed tomography measurements in assessment of thigh muscle cross-sectional area and attenuation , 2010, BMC Medical Imaging.

[23]  Michael J. Englesbe,et al.  Sarcopenia as a Prognostic Factor among Patients with Stage III Melanoma , 2011, Annals of Surgical Oncology.

[24]  B. Carr,et al.  Systemic Treatment of Gastrointestinal Cancer in Elderly Patients , 2013, Journal of Gastrointestinal Cancer.

[25]  J. Stoot,et al.  Value of Geriatric Frailty and Nutritional Status Assessment in Predicting Postoperative Mortality in Gastric Cancer Surgery , 2014, Journal of Gastrointestinal Surgery.

[26]  K. Fearon Cancer cachexia: developing multimodal therapy for a multidimensional problem. , 2008, European journal of cancer.

[27]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[28]  O. Mir,et al.  Sarcopenia and body mass index predict sunitinib-induced early dose-limiting toxicities in renal cancer patients , 2013, British Journal of Cancer.

[29]  W. Evans,et al.  Skeletal muscle loss: cachexia, sarcopenia, and inactivity. , 2010, The American journal of clinical nutrition.

[30]  S. Heymsfield,et al.  Epidemiology of sarcopenia among the elderly in New Mexico. , 1998, American journal of epidemiology.

[31]  E. Carey Sarcopenia in solid organ transplantation. , 2014, Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition.

[32]  Terence Tang,et al.  Assessment for frailty is useful for predicting morbidity in elderly patients undergoing colorectal cancer resection whose comorbidities are already optimized. , 2012, American journal of surgery.

[33]  H. Friess,et al.  Cachexia Worsens Prognosis in Patients with Resectable Pancreatic Cancer , 2008, Journal of Gastrointestinal Surgery.

[34]  Stephanie Daignault,et al.  Worsening Central Sarcopenia and Increasing Intra-Abdominal Fat Correlate with Decreased Survival in Patients with Adrenocortical Carcinoma , 2012, World Journal of Surgery.

[35]  X. Yao,et al.  Lower skeletal muscle index and early complications in patients undergoing radical cystectomy for bladder cancer , 2014, World Journal of Surgical Oncology.

[36]  L. Birdsell,et al.  Low body mass index and sarcopenia associated with dose-limiting toxicity of sorafenib in patients with renal cell carcinoma. , 2010, Annals of oncology : official journal of the European Society for Medical Oncology.

[37]  F. Ris,et al.  Perirenal Fat Surface Area as a Risk Factor for Morbidity After Elective Colorectal Surgery , 2014, Diseases of the colon and rectum.

[38]  A. Beckett,et al.  AKUFO AND IBARAPA. , 1965, Lancet.

[39]  L. Sarli,et al.  Computed Tomography Volumetric Fat Parameters versus Body Mass Index for Predicting Short-term Outcomes of Colon Surgery , 2011, World Journal of Surgery.

[40]  S B Heymsfield,et al.  Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography. , 1998, Journal of applied physiology.

[41]  M. Tisdale Mechanisms of cancer cachexia. , 2009, Physiological reviews.

[42]  Paula Ravasco,et al.  Definition and classification of cancer cachexia: an international consensus. , 2011, The Lancet. Oncology.

[43]  L. Mccargar,et al.  Sarcopenia as a Determinant of Chemotherapy Toxicity and Time to Tumor Progression in Metastatic Breast Cancer Patients Receiving Capecitabine Treatment , 2009, Clinical Cancer Research.

[44]  C. Cooper,et al.  Frailty and sarcopenia: definitions and outcome parameters , 2012, Osteoporosis International.

[45]  P. Jaccard,et al.  Etude comparative de la distribution florale dans une portion des Alpes et des Jura , 1901 .

[46]  M. Dew,et al.  Objective Radiologic Assessment of Body Composition in Patients with End-Stage Liver Disease: Going Beyond the BMI , 2013, Transplantation.

[47]  Kevin He,et al.  Analytic Morphomics, Core Muscle Size, and Surgical Outcomes , 2012, Annals of surgery.

[48]  G. Gaesser,et al.  NIH ImageJ and Slice‐O‐Matic Computed Tomography Imaging Software to Quantify Soft Tissue , 2007, Obesity.

[49]  Maryse Fortin,et al.  Quantitative Paraspinal Muscle Measurements: Inter-Software Reliability and Agreement Using OsiriX and ImageJ , 2012, Physical Therapy.

[50]  Stephan von Haehling,et al.  Ethical guidelines for publishing in the Journal of Cachexia, Sarcopenia and Muscle: update 2015 , 2015, Journal of cachexia, sarcopenia and muscle.

[51]  P. Ponikowski,et al.  Cachexia: a new definition. , 2008, Clinical nutrition.

[52]  Patricia M Sheean,et al.  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. , 2016, JPEN. Journal of parenteral and enteral nutrition.

[53]  S. Noble,et al.  The assessment and impact of sarcopenia in lung cancer: a systematic literature review , 2014, BMJ Open.

[54]  O. Mir,et al.  Sarcopenia Predicts Early Dose-Limiting Toxicities and Pharmacokinetics of Sorafenib in Patients with Hepatocellular Carcinoma , 2012, PloS one.

[55]  E. Lanoy,et al.  Impact of sarcopenia on the prognosis and treatment toxicities in patients diagnosed with cancer , 2013, Current opinion in supportive and palliative care.

[56]  J. Ijzermans,et al.  Systematic Review and Meta‐Analysis of the Impact of Computed Tomography–Assessed Skeletal Muscle Mass on Outcome in Patients Awaiting or Undergoing Liver Transplantation , 2016, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[57]  Luigi Ferrucci,et al.  From bedside to bench: research agenda for frailty. , 2005, Science of aging knowledge environment : SAGE KE.

[58]  J. Ijzermans,et al.  Systematic review of sarcopenia in patients operated on for gastrointestinal and hepatopancreatobiliary malignancies , 2015, The British journal of surgery.

[59]  Tony Reiman,et al.  Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. , 2008, The Lancet. Oncology.