Update on body composition tools in clinical settings: computed tomography, ultrasound, and bioimpedance applications for assessment and monitoring

A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care

Mourtzakis, M., Prado, C. M. M., Lieffers, J. R., Reiman, T., McCargar, L. J., & Baracos, V. E. (2008) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/h08-075 · Cited by 2,224 · see citing works

Acute skeletal muscle wasting in critical illness

Puthucheary, Z. A., Rawal, J., McPhail, M., Connolly, B., Ratnayake, G., Chan, P., Hopkinson, N. S., Padhke, R., Dew, T., Sidhu, P. S., et al. (2013) · JAMA · doi:10.1001/jama.2013.278481 · Cited by 2,103 · see citing works

Lean Tissue Imaging: A New Era for Nutritional Assessment and Intervention

Prado, C. M. M., & Heymsfield, S. B. (2014) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607114550189 · Cited by 550 · see citing works

A multicenter study to define sarcopenia in patients with end-stage liver disease

Carey, E. J., Lai, J. C., Wang, C. W., Dasarathy, S., Lobach, I., Montano‐Loza, A. J., Dunn, M. A., & for the Fitness, L. E. (2017) · Liver Transplantation · doi:10.1002/lt.24750 · Cited by 498 · see citing works

Skeletal muscle predicts ventilator-free days, ICU-free days, and mortality in elderly ICU patients

Moisey, L. L., Mourtzakis, M., Cotton, B. A., Premji, T., Heyland, D. K., Wade, C. E., Bulger, E. M., & Kozar, R. A. (2013) · Critical Care · doi:10.1186/cc12901 · Cited by 494 · see citing works

Low skeletal muscle area is a risk factor for mortality in mechanically ventilated critically ill patients

Weijs, P. J. M., Looijaard, W. G. P. M., Dekker, I. M., Stapel, S. N., Girbes, A. R. J., Straaten, H. M. O., & Beishuizen, A. (2014) · Critical Care · doi:10.1186/cc13189 · Cited by 462 · see citing works

Ultrasonography in the intensive care setting can be used to detect changes in the quality and quantity of muscle and is related to muscle strength and function

Parry, S. M., El‐Ansary, D., Cartwright, M. S., Sarwal, A., Berney, S. C., Koopman, R., Annoni, R., Puthucheary, Z., Gordon, I. R., Morris, P. E., et al. (2015) · Journal of Critical Care · doi:10.1016/j.jcrc.2015.05.024 · Cited by 438 · see citing works

Environmental enrichment strengthens corticocortical interactions and reduces amyloid-β oligomers in aged mice

Mainardi, M., Garbo, A. D., Caleo, M., Berardi, N., Sale, A., & Maffei, L. (2013) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00001 · Cited by 438 · see citing works

Impact of prolonged assisted ventilation on diaphragmatic efficiency: NAVA versus PSV

Mussi, R. D., Spadaro, S., Mirabella, L., Volta, C. A., Serio, G., Staffieri, F., DAMBROSIO, M., Cinnella, G., Bruno, F., & Grasso, S. (2016) · Critical Care · doi:10.1186/s13054-015-1178-0 · Cited by 404 · see citing works

Assessment of adult malnutrition and prognosis with bioelectrical impedance analysis

Lukaski, H. C., Kyle, U. G., & Kondrup, J. (2017) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000387 · Cited by 376 · see citing works

Bioimpedance at the Bedside: Current Applications, Limitations, and Opportunities

Mulasi, U., Kuchnia, A. J., Cole, A. J., & Earthman, C. P. (2015) · Nutrition in Clinical Practice · doi:10.1177/0884533614568155 · Cited by 337 · see citing works

Muscle Ultrasound and Sarcopenia in Older Individuals: A Clinical Perspective

Ticinesi, A., Meschi, T., Narici, M. V., Lauretani, F., & Maggio, M. G. (2017) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2016.11.013 · Cited by 323 · see citing works

Evolution of bioimpedance: a circuitous journey from estimation of physiological function to assessment of body composition and a return to clinical research

Lukaski, H. C. (2013) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2012.149 · Cited by 306 · see citing works

Echo intensity obtained from ultrasonography images reflecting muscle strength in elderly men

Watanabe, Y., Yamada, Y., Fukumoto, Yokoyama, K., Yoshida, T., Miyake, Yamagata, E., Kimura, K., & Ishihara (2013) · Clinical Interventions in Aging · doi:10.2147/cia.s47263 · Cited by 298 · see citing works

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

Gomez‐Perez, S. L., Haus, J. M., Sheean, P., Patel, B., Mar, W., Chaudhry, V., McKeever, L., & Braunschweig, C. (2016) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607115604149 · Cited by 275 · see citing works

Qualitative Ultrasound in Acute Critical Illness Muscle Wasting

Puthucheary, Z., Phadke, R., Rawal, J., McPhail, M. J. W., Sidhu, P. S., Rowlerson, A. M., Moxham, J., Harridge, S. D. R., Hart, N., & Montgomery, H. (2015) · Critical Care Medicine · doi:10.1097/ccm.0000000000001016 · Cited by 244 · see citing works

Body Composition Tools for Assessment of Adult Malnutrition at the Bedside

Earthman, C. P. (2015) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607115595227 · Cited by 238 · see citing works

The course of diaphragm atrophy in ventilated patients assessed with ultrasound: a longitudinal cohort study

Schepens, T., Verbrugghe, W., Dams, K., Corthouts, B., Parizel, P. M., & Jorens, P. G. (2015) · Critical Care · doi:10.1186/s13054-015-1141-0 · Cited by 194 · see citing works

Skeletal Muscle Ultrasound in Critical Care: A Tool in Need of Translation

Mourtzakis, M., Parry, S. M., Connolly, B. A., & Puthucheary, Z. (2017) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201612-967ps · Cited by 182 · see citing works

Body Composition and Survival in Dialysis Patients

Marcelli, D., Usvyat, L. A., Kotanko, P., Bayh, I., Canaud, B., Etter, M., Gatti, E., Grassmann, A., Wang, Y., Marelli, C., et al. (2015) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.08550814 · Cited by 170 · see citing works

Validation of Bedside Ultrasound of Muscle Layer Thickness of the Quadriceps in the Critically Ill Patient (VALIDUM Study)

Paris, M. T., Mourtzakis, M., Day, A. G., Leung, R., Watharkar, S. S., Kozar, R. A., Earthman, C. P., Kuchnia, A. J., Dhaliwal, R., Moisey, L. L., et al. (2016) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607116637852 · Cited by 166 · see citing works

A Comparison of Muscle Function, Mass, and Quality in Liver Transplant Candidates

Wang, C. W., Feng, S., Covinsky, K. E., Hayssen, H., Zhou, L.-Q., Yeh, B. M., & Lai, J. C. (2016) · Transplantation · doi:10.1097/tp.0000000000001232 · Cited by 151 · see citing works

Fat-free mass at admission predicts 28-day mortality in intensive care unit patients: the international prospective observational study Phase Angle Project

Thibault, R., Makhlouf, A.-M., Mulliez, A., Cristina Gonzalez, M., Kekstas, G., Kozjek, N. R., Preiser, J.-C., Rozalen, I. C., Dadet, S., Krznaric, Z., et al. (2016) · Intensive Care Medicine · doi:10.1007/s00134-016-4468-3 · Cited by 151 · see citing works

Diminished adrenal sensitivity to endogenous and exogenous adrenocorticotropic hormone in critical illness: a prospective cohort study

de Jong, M. F. C., Molenaar, N., Beishuizen, A., & Groeneveld, A. B. J. (2015) · Critical Care · doi:10.1186/s13054-014-0721-8 · Cited by 150 · see citing works

Muscle ultrasound for early assessment of critical illness neuromyopathy in severe sepsis

Grimm, A. M., Teschner, U., Porzelius, C., Ludewig, K., Zielske, J., Witte, O. W., Brunkhorst, F. M., & Axer, H. (2013) · Critical Care · doi:10.1186/cc13050 · Cited by 142 · see citing works

Age-Related Ultrasound Changes in Muscle Quantity and Quality in Women

Fukumoto, Y., Ikezoe, T., Yamada, Y., Tsukagoshi, R., Nakamura, M., Takagi, Y., Kimura, M., & Ichihashi, N. (2015) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2015.06.017 · Cited by 141 · see citing works

Electrical Properties Assessed by Bioelectrical Impedance Spectroscopy as Biomarkers of Age-related Loss of Skeletal Muscle Quantity and Quality

Yamada, Y., Buehring, B., Krueger, D. C., Anderson, R. M., Schoeller, D. A., & Binkley, N. (2016) · The Journals of Gerontology Series A · doi:10.1093/gerona/glw225 · Cited by 133 · see citing works

The Prevalence of Sarcopenia in Patients With Respiratory Failure Classified as Normally Nourished Using Computed Tomography and Subjective Global Assessment

Sheean, P., Peterson, S. J., Gomez‐Perez, S. L., Troy, K. L., Patel, A. K., Sclamberg, J. S., Ajanaku, F. C., & Braunschweig, C. A. (2013) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607113500308 · Cited by 128 · see citing works

Bioelectrical impedance analysis-derived phase angle at admission as a predictor of 90-day mortality in intensive care patients

Stapel, S. N., Looijaard, W. G. P. M., Dekker, I. M., Girbes, A. R. J., Weijs, P. J. M., & Straaten, H. M. O. (2018) · European Journal of Clinical Nutrition · doi:10.1038/s41430-018-0167-1 · Cited by 117 · see citing works

Impact of hyperhydration on the mortality risk in critically ill patients admitted in intensive care units: comparison between bioelectrical impedance vector analysis and cumulative fluid balance recording

Samoni, S., Vigo, V., Reséndiz, L. I. B., Villa, G., Rosa, S. D., Nalesso, F., Ferrari, F., Meola, M., Brendolan, A., Malacarne, P., et al. (2016) · Critical Care · doi:10.1186/s13054-016-1269-6 · Cited by 105 · see citing works

The Extracellular to Intracellular Water Ratio in Upper Legs is Negatively Associated With Skeletal Muscle Strength and Gait Speed in Older People

Yamada, Y., Yoshida, T., Yokoyama, K., Watanabe, Y., Miyake, M., Yamagata, E., Yamada, M., Kimura, M., & Study, K.-K. (2016) · The Journals of Gerontology Series A · doi:10.1093/gerona/glw125 · Cited by 104 · see citing works

Development of a bedside viable ultrasound protocol to quantify appendicular lean tissue mass

Paris, M. T., Lafleur, B., Dubin, J. A., & Mourtzakis, M. (2017) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12213 · Cited by 97 · see citing works

Preoperative Pectoralis Muscle Quantity and Attenuation by Computed Tomography Are Novel and Powerful Predictors of Mortality After Left Ventricular Assist Device Implantation

Teigen, L. M., John, R., Kuchnia, A. J., Nagel, E., Earthman, C. P., Kealhofer, J. V., Martin, C. M., & Cogswell, R. J. (2017) · Circulation Heart Failure · doi:10.1161/circheartfailure.117.004069 · Cited by 95 · see citing works

Evaluation of Bioelectrical Impedance Analysis in Critically Ill Patients: Results of a Multicenter Prospective Study

Kuchnia, A., Earthman, C., Teigen, L., Cole, A., Mourtzakis, M., Paris, M., Looijaard, W., Weijs, P., Oudemans‐van Straaten, H., Beilman, G., et al. (2017) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607116651063 · Cited by 91 · see citing works

Assessment of skeletal muscle mass in critically ill patients

Paris, M. T., & Mourtzakis, M. (2016) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000259 · Cited by 85 · see citing works

Fluid Management in the Intensive Care Unit: Bioelectrical Impedance Vector Analysis as a Tool to Assess Hydration Status and Optimal Fluid Balance in Critically Ill Patients

Basso, F., Berdin, G., Virzì, G. M., Mason, G., Piccinni, P., Day, S., Cruz, D. N., Wojewódzka‐Żeleźniakowicz, M., Giuliani, A., Brendolan, A., et al. (2013) · Blood Purification · doi:10.1159/000356366 · Cited by 83 · see citing works

Exploitation of diagnostic computed tomography scans to assess the impact of nutrition support on body composition changes in respiratory failure patients

Braunschweig, C. A., Sheean, P. M., Peterson, S. J., Gomez Perez, S., Freels, S., Troy, K. L., Ajanaku, F. C., Patel, A., Sclamberg, J. S., & Wang, Z. (2014) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607113500505 · Cited by 81 · see citing works

Quantitative Ultrasound: Measurement Considerations for the Assessment of Muscular Dystrophy and Sarcopenia

Harris‐Love, M. O., Monfaredi, R., Ismail, C., Blackman, M. R., & Cleary, K. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00172 · Cited by 79 · see citing works

Computed tomography measured psoas density predicts outcomes in trauma

Yoo, T., Lo, W. D., & Evans, D. C. (2017) · Surgery · doi:10.1016/j.surg.2017.03.014 · Cited by 78 · see citing works

The Use of Technology for Estimating Body Composition: Strengths and Weaknesses of Common Modalities in a Clinical Setting

Teigen, L. M., Kuchnia, A. J., Mourtzakis, M., & Earthman, C. P. (2017) · Nutrition in Clinical Practice · doi:10.1177/0884533616676264 · Cited by 75 · cited 2× · see citing works

Impact of psoas muscle index on short-term outcome after living donor liver transplantation

Izumi, T., Watanabe, J., Tohyama, T., & Takada, Y. (2016) · The Turkish Journal of Gastroenterology · doi:10.5152/tjg.2016.16201 · Cited by 60 · see citing works

Mifepristone Reduces Food Palatability and AffectsDrosophilaFeeding and Lifespan

Yamada, R., Deshpande, S. A., Keebaugh, E. S., Ehrlich, M. R., Obando, A. S., & Ja, W. W. (2016) · The Journals of Gerontology Series A · doi:10.1093/gerona/glw072 · Cited by 53 · see citing works

Resistivity coefficients for body composition analysis using bioimpedance spectroscopy: effects of body dominance and mixture theory algorithm

Ward, L. C., Isenring, E. A., Dyer, J. M., Kagawa, M., & Essex, T. (2015) · Physiological Measurement · doi:10.1088/0967-3334/36/7/1529 · Cited by 47 · see citing works

Quantification of Muscle Volume by Echography: Comparison with MRI Data on Subjects in Long-Term Bed Rest

Arbeille, P. L., Kerbeci, P., Capri, A., Dannaud, C., Trappe, S. W., & Trappe, T. A. (2009) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2009.01.004 · Cited by 46 · see citing works

The Associations Between Body Cell Mass and Nutritional and Inflammatory Markers in Patients With Chronic Kidney Disease and in Subjects Without Kidney Disease

Rymarz, A., Bartoszewicz, Z., Szamotulska, K., & Niemczyk, S. (2015) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2015.09.005 · Cited by 41 · see citing works

Bioelectrical impedance vector analysis and clinical outcomes in patients with acute heart failure

Núñez, J. E., Mascarell, B., Stubbe, H. C., Ventura, S., Bonanad, C., Bodı́, V., Núñez, E., Miñana, G., Fácila, L., Bayés‐Genís, A., et al. (2014) · Journal of Cardiovascular Medicine · doi:10.2459/jcm.0000000000000208 · Cited by 38 · see citing works

Assessment of hydration status using bioelectrical impedance vector analysis in critical patients with acute kidney injury

Hise, A. C. D. R., & González, M. C. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2017.02.016 · Cited by 33 · see citing works

Impact of Software Selection and ImageJ Tutorial Corrigendum on Skeletal Muscle Measures at the Third Lumbar Vertebra on Computed Tomography Scans in Clinical Populations

Teigen, L. M., Kuchnia, A. J., Nagel, E., Deuth, C., Vock, D. M., Mulasi, U., & Earthman, C. P. (2017) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.1036 · Cited by 33 · see citing works

Bioimpedance Spectroscopy for Assessment of Volume Status in Patients before and after General Anaesthesia

Ernstbrunner, M., Kostner, L., Kimberger, O., Wabel, P., Säemann, M. D., Markstaller, K., Fleischmann, E., Kabon, B., & Hecking, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111139 · Cited by 31 · see citing works

Computed Tomography–Measured Psoas Density Predicts Outcomes After Enterocutaneous Fistula Repair

Lo, W. D., Evans, D. C., & Yoo, T. (2017) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.1028 · Cited by 28 · see citing works

Bioelectrical impedance spectroscopy to estimate fluid balance in critically ill patients

Dewitte, A., Carles, P., Joannès-Boyau, O., Fleureau, C., Rozé, H., Combe, C., & Ouattara, A. (2015) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-015-9706-7 · Cited by 26 · see citing works

Utility of Volume Assessment Using Bioelectrical Impedance Analysis in Critically Ill Patients Receiving Continuous Renal Replacement Therapy: A Prospective Observational Study

Park, K. H., Shin, J., Hwang, J. H., & Kim, S. (2017) · The Korean Journal of Critical Care Medicine · doi:10.4266/kjccm.2017.00136 · Cited by 25 · see citing works

Relationship between Dual-Energy X-Ray Absorptiometry-Derived Appendicular Lean Tissue Mass and Total Body Skeletal Muscle Mass Estimated by Ultrasound

Abe, T., Dabbs, N. C., Nahar, V. K., Ford, M. A., Bass, M. A., & Loftin, M. (2013) · International Journal of Clinical Medicine · doi:10.4236/ijcm.2013.46049 · Cited by 20 · see citing works

Fasciitis frequently accompanies myopathy in acute critical illness muscle wasting: Evidence from qualitative ultrasound and muscle biopsy analysis

Phadke, R., Puthucheary, Z., Rawal, J., McPhail, M. J. W., Sidhu, P. S., Rowlerson, A. M., Moxham, J., Harridge, S. D. R., Hart, N., & Montgomery, H. (2015) · Neuromuscular Disorders · doi:10.1016/j.nmd.2015.06.237 · Cited by 6 · see citing works

Evaluation of Advanced Bioimpedance Spectroscopy Models for Measuring Body Composition in Healthy Adults (NHANES 1999-2004) and Those Undergoing Massive Weight Loss Following Roux-en-Y Gastric Bypass Surgery.

Johnson, A. J., Matthie, J. R., Kuchnia, A. J., Teigen, L. M., Beckman, L. M., Mager, J. R., Nicklay, S. A., Mulasi, U., Sibley, S. D., Nagel, E., et al. (2017) · PubMed · Cited by 4 · see citing works

Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition (GLIM) diagnosis of malnutrition

Barazzoni, R., Jensen, G. L., Correia, M. I. T. D., Gonzalez, M. C., Higashiguchi, T., Shi, H. P., Bischoff, S. C., Boirie, Y., Carrasco, F., Cruz-Jentoft, A., et al. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.02.001 · Cited by 406 · see citing works

The current use of ultrasound to measure skeletal muscle and its ability to predict clinical outcomes: a systematic review

Casey, P., Alasmar, M., McLaughlin, J., Ang, Y., McPhee, J., Heire, P., & Sultan, J. (2022) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1002/jcsm.13041 · Cited by 164 · see citing works

Dietary management of adults with IBD — the emerging role of dietary therapy

Fitzpatrick, J. A., Melton, S. L., Yao, C. K., Gibson, P. R., & Halmos, E. P. (2022) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-022-00619-5 · Cited by 138 · see citing works

Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition diagnosis of malnutrition

Compher, C., Cederholm, T., Correia, M. I. T. D., Gonzalez, M. C., Higashiguch, T., Shi, H. P., Bischoff, S. C., Boirie, Y., Carrasco, F., Cruz‐Jentoft, A., et al. (2022) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.2366 · Cited by 125 · see citing works

New Prediction Equations to Estimate Appendicular Skeletal Muscle Mass Using Calf Circumference: Results From NHANES 1999–2006

Santos, L. P., Gonzalez, M. C., Orlandi, S. P., Bielemann, R. M., Barbosa‐Silva, T. G., Heymsfield, S. B., & COCONUT Study Group (2019) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.1605 · Cited by 122 · see citing works

Clinical Oncology Society of Australia: Position statement on cancer‐related malnutrition and sarcopenia

Kiss, N. K., Loeliger, J. M., Findlay, M., Isenring, E. A., Baguley, B. J., Boltong, A. G., Butler, A., Deftereos, I., Eisenhuth, M., Fraser, S. F., et al. (2020) · Nutrition & Dietetics · doi:10.1111/1747-0080.12631 · Cited by 87 · see citing works

Artificial intelligence for body composition and sarcopenia evaluation on computed tomography: A systematic review and meta-analysis

Bedrikovetski, S., Seow, W., Kroon, H. M., Traeger, L., Moore, J. W., & Sammour, T. (2022) · European Journal of Radiology · doi:10.1016/j.ejrad.2022.110218 · Cited by 72 · see citing works

Current Insights in Nutrition Assessment and Intervention for Malnutrition or Muscle Loss in People with Lung Cancer: A Narrative Review

Kiss, N. K., & Curtis, A. R. (2022) · Advances in Nutrition · doi:10.1093/advances/nmac070 · Cited by 44 · see citing works

The Role of Standardized Phase Angle in the Assessment of Nutritional Status and Clinical Outcomes in Cancer Patients: A Systematic Review of the Literature

Jiang, N., Zhang, J., Cheng, S., & Liang, B. (2022) · Nutrients · doi:10.3390/nu15010050 · Cited by 44 · see citing works

Low phase angle is associated with 60‐day mortality in critically ill patients with COVID‐19

Osuna-Padilla, I., Rodríguez-Moguel, N., Rodríguez-Llamazares, S., Aguilar-Vargas, A., Casas-Aparicio, G., Ríos-Ayala, M., & Hernández-Cárdenas, C. (2021) · JPEN - Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.2236 · Cited by 31 · see citing works

Current diagnostic and quantitative techniques in the field of lymphedema management: a critical review

Vargo, M. M., Aldrich, M. B., Donahue, P. M. C., Iker, E., Koelmeyer, L. A., Crescenzi, R. L., & Cheville, A. L. (2024) · Medical Oncology · doi:10.1007/s12032-024-02472-9 · Cited by 41 · see citing works

Systematic Review With Meta‐Analysis of Patient‐Centered Outcomes, Comparing International Guideline–Recommended Enteral Protein Delivery With Usual Care

Fetterplace, K., Gill, B. M. T., Chapple, L. S., Presneill, J., MacIsaac, C., & Deane, A. M. (2019) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.1725 · Cited by 38 · see citing works

New insights on how and where to measure muscle mass

Fayh, A. P. T., de Sousa, I. M., & González, M. C. (2020) · Current Opinion in Supportive and Palliative Care · doi:10.1097/spc.0000000000000524 · Cited by 38 · see citing works

A Deep Learning Model to Automate Skeletal Muscle Area Measurement on Computed Tomography Images

Amarasinghe, K. C., Lopes, J. J., Beraldo, J., Kiss, N. K., Bucknell, N. W., Everitt, S., Jackson, P. A., Litchfield, C., Denehy, L., Blyth, B. J., et al. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.580806 · Cited by 39 · see citing works

Low muscle mass in COVID-19 critically-ill patients: Prognostic significance and surrogate markers for assessment

Osuna‐Padilla, I. A., Rodríguez‐Moguel, N. C., Rodríguez‐Llamazares, S., Orsso, C. E., Prado, C. M. M., Ríos‐Ayala, M. A., Villanueva-Camacho, O., Aguilar‐Vargas, A., Pensado-Piedra, L. E., Juárez-Hernández, F., et al. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.02.019 · Cited by 35 · see citing works

Ultrasound for measurement of skeletal muscle mass quantity and muscle composition/architecture in critically ill patients: A scoping review on studies' aims, methods, and findings

Lima, J., Foletto, E., Cardoso, R. C. B., Garbelotto, C., Frenzel, A. P., Carneiro, J. U., Carpes, L. S., Barbosa-Silva, T. G., González, M. C., & Silva, F. M. (2023) · Clinical Nutrition · doi:10.1016/j.clnu.2023.11.003 · Cited by 33 · see citing works

Three compartment bioimpedance spectroscopy in the nutritional assessment and the outcome of patients with advanced or end stage kidney disease: What have we learned so far?

Broers, N. J. H., Canaud, B., Dekker, M. J. E., SANDE, F. M. V. D., Stuard, S., Wabel, P., & Kooman, J. P. (2020) · Hemodialysis International · doi:10.1111/hdi.12812 · Cited by 33 · see citing works

Impact of CT-based body composition parameters at baseline, their early changes and response in metastatic cancer patients treated with immune checkpoint inhibitors

Crombé, A., Kind, M., Toulmonde, M., Italiano, A., & Cousin, S. (2020) · European Journal of Radiology · doi:10.1016/j.ejrad.2020.109340 · Cited by 30 · see citing works

Effect of 12-Week Swimming Training on Body Composition in Young Women

Charmas, M., & Gromisz, W. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16030346 · Cited by 30 · see citing works

How does muscularity assessed by bedside methods compare to computed tomography muscle area at intensive care unit admission? A pilot prospective cross‐sectional study

Lambell, K., Earthman, C. P., Tierney, A. C., Goh, G. S., Forsyth, A. K., & King, S. (2020) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12804 · Cited by 29 · see citing works

Assessment of muscle mass using ultrasound with minimal versus maximal pressure compared with computed tomography in critically ill adult patients

Fetterplace, K., Corlette, L., Abdelhamid, Y. A., Presneill, J., Paris, M. T., Stella, D. L., Mourtzakis, M., MacIsaac, C., & Deane, A. M. (2020) · Australian Critical Care · doi:10.1016/j.aucc.2020.10.008 · Cited by 28 · see citing works

Evolution of the diagnosis of malnutrition in adults: a primer for clinicians

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Time course of the Bioelectrical Impedance Vector Analysis and muscular ultrasound in critically ill patients

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Clinical evaluation of automated segmentation for body composition analysis on abdominal L3 CT slices in polytrauma patients

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Validation of a new prognostic body composition parameter in cancer patients

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Nutrition competencies for undergraduate medical education: Results of an international interdisciplinary consensus

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Update on nutritional assessment and therapy in critical care

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Non invasive techniques for direct muscle quality assessment after exercise intervention in older adults: a systematic review

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Wireless, Artefact Aware Impedance Sensor Node for Continuous Bio-Impedance Monitoring

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Status of adult inpatient burn rehabilitation in Europe: are we neglecting metabolic outcomes?

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Comparative assessment of abdominal and thigh muscle characteristics using CT-derived images

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Agreement between bioimpedance analysis and ultrasound scanning in body composition assessment

Bondareva, E. A., Parfenteva, O. I., Troshina, E. A., Ershova, E. V., Mazurina, N. V., Komshilova, K. A., Kulemin, N. A., & Ahmetov, I. I. (2023) · American Journal of Human Biology · doi:10.1002/ajhb.24001 · Cited by 11 · see citing works

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Ability of malnutrition screening and assessment tools to identify computed tomography defined low muscle mass in colorectal cancer surgery

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The influence of coffee consumption on bioelectrical impedance parameters: a randomized, double-blind, cross-over trial

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Body Composition Assessment in Critically Ill Adults – Where are We now?

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Starkoff, B. E., & Nickerson, B. S. (2024) · Nutrition in Clinical Practice · doi:10.1002/ncp.11151 · Cited by 8 · see citing works

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Zuo, J., Huang, Z., Ge, Y., Ding, X., Wang, X., & Huang, Y. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1515918 · Cited by 7 · see citing works

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Loeliger, J. M., Edbrooke, L., Daly, R. M., Stewart, J. A., Bucci, L., Puskas, C., Fitzgerald, M., Baguley, B. J., & Kiss, N. K. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19074038 · Cited by 7 · see citing works

Bioimpedance spectroscopy and volumetry in the immediate/short-term monitoring of intensive complex decongestive treatment of lymphedema

Cavezzi, A., Urso, S. U., Paccasassi, S., Mosti, G. B., Campana, F., & Colucci, R. (2020) · Phlebology The Journal of Venous Disease · doi:10.1177/0268355520938578 · Cited by 7 · see citing works

Medical imaging in the assessment of cardiovascular disease risk

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Reproducibility of Body Fat and Fat-Free Mass Measurements by Bioimpedance and Ultrasound Scanning Analysis in a Group of Young Adults

Bondareva, E. A., Parfenteva, O. I., Vasil’eva, A. A., Kulemin, N. A., Popova, E. V., Gadzhiakhmedova, A. N., Ковалева, О. Н., & Николаевич, Х.-Б. Н. (2023) · Human Physiology · doi:10.1134/s0362119723600042 · Cited by 6 · see citing works

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Potential Role of Imaging in the Evaluation of Adiposity and Approval of Anti-Obesity Drugs

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Maddox, S. S., Palines, P. A., Hoffman, R. D., Danos, D., Womac, D. J., Tuggle, C. T., & Stalder, M. W. (2021) · Journal of Reconstructive Microsurgery · doi:10.1055/s-0041-1726396 · Cited by 5 · see citing works

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Bondareva, E. A., & Parfenteva, O. I. (2021) · Экология человека · doi:10.33396/1728-0869-2021-10-57-64 · Cited by 5 · see citing works

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Silva-Filho, J. Z., Pereira, J. P. D. C., Zapanta, I. K., Brasil, E. C. L., Silva, R. L. S., & Silva, F. M. (2025) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2025.07.1131 · Cited by 4 · see citing works

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Yan, G., Liu, L., Liu, M., Jiang, X., Chen, P., Li, M., Ma, Q., Li, Y., Duan, S., You, R., et al. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1381995 · Cited by 4 · see citing works

Acute muscle loss in elderly hospitalized patients: Risk factors and adverse clinical outcomes

Liu, J., Xue, H., Ma, Y., & Wang, Z. (2024) · Geriatric Nursing · doi:10.1016/j.gerinurse.2024.12.032 · Cited by 3 · see citing works

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High physical activity in persons with psoriatic arthritis is associated with reduced visceral fat mass and percentage body fat: the Trøndelag Health study

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Muscularity of older trauma patients at intensive care unit admission, association with functional outcomes, and relationship with frailty: A retrospective observational study

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Body Composition Evaluation and Clinical Markers of Cardiometabolic Risk in Patients with Phenylketonuria

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Investigating Transducer–Tissue Interface Pressure for Soft Tissue Stress–Strain Behavior and the Effects on Echoic Intensities in Ultrasound Imaging of Periodontium

La, T., Nguyen, K. T., Kaipatur, N. R., Lou, E. H. M., Major, P. W., & Le, L. H. (2024) · Advanced Materials Technologies · doi:10.1002/admt.202301732 · Cited by 3 · see citing works

Inter- and Intra-Day Precision of a Low-Cost and Wearable Bioelectrical Impedance Analysis Device

Robertz, L., Rieppo, L., Korkala, S., Jaako, T., & Saarakkala, S. S. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-59091-7_29 · Cited by 3 · see citing works

Looking at or beyond the tumor - a systematic review and meta-analysis of quantitative imaging biomarkers predicting pancreatic cancer prognosis

Wang, Z., Zhu, L., Wang, Y., Han, X., Xu, Q., & Dai, M. (2025) · Abdominal Radiology · doi:10.1007/s00261-025-04919-7 · Cited by 2 · see citing works

Combining GLIM phenotypic criteria improves survival prediction in cancer-associated malnutrition.

Gallardo, M. G., Jiménez, B. R., Pena, N. G., Gómez, P. R. D. V., Padillo, J. P., Arenas, Á. V., López, M. L., Aguilera, B. G., Martínez-Brocca, M. A., & Restrepo, J. R. R. (2025) · Nutrition (Burbank, Los Angeles County, Calif.) · doi:10.1016/j.nut.2025.112958 · Cited by 3 · see citing works

A survey on the perception of the specialty of Endocrinology and Nutrition among students preparing for the entrance exam for medical specialty training in Spain

Blasco, L. G., Corrales, P. J. P., Hanzu, F. A., Martínez, A. F., Lesmes, I. B., & Martín, J. E. S. (2023) · Endocrinología Diabetes y Nutrición (English ed ) · doi:10.1016/j.endien.2023.04.004 · Cited by 2 · see citing works

Validity of bioelectric impedance analysis for body composition assessment in interstitial lung disease patients

Osuna‐Padilla, I. A., Valle-Alegría, G. R. G. D., Gómez‐Rodriguez, A. L., Alarcón-Dionet, A., Rodriguez-Díaz, Z., & Buendía-Roldán, I. (2024) · Nutrición Hospitalaria · doi:10.20960/nh.04882 · Cited by 2 · see citing works

Psoas Muscle Volume as an Indicator of Sarcopenia and Disposition in Traumatic Hip Fracture Patients

Hovsepian, S. E., Zwemer, C. H., Halpern, A. I., Wu, S. H., Farag, C. M., Herur-Raman, A., Ismail, A., Srivastava, A. P., Melnyk, O., Baginsky, M., et al. (2024) · Journal of Surgical Research · doi:10.1016/j.jss.2024.10.005 · Cited by 2 · see citing works

Automated Assessment of Sarcopenia with Hounsfield Unit Average Calculation in Computed Tomography Scans Using Deep Learning Techniques

Rengan, V. S., Sundaram, P. M., Arora, E., Sitaraman, R. R., Sekaran, P. G., Kalla, R., Bawa, A., Alexander, N., & Ramanan, R. V. (2024) · Journal of Gastrointestinal and Abdominal Radiology · doi:10.1055/s-0044-1795111 · Cited by 2 · see citing works

Encuesta sobre la docencia pregrado de Endocrinología y Nutrición en España-2021

Pinés-Corrales, P. J., Hanzu, F. A., Fernández, R. C., Martínez, A. F., Pérez, C. T., Escalada, J., & Lesmes, I. B. (2022) · Endocrinología Diabetes y Nutrición · doi:10.1016/j.endinu.2022.05.005 · Cited by 2 · see citing works

Morphofunctional Assessment beyond Malnutrition: Fat Mass Assessment in Adult Patients with Phenylketonuria—Systematic Review

Pérez, L. M. L., Fernández-Bueso, M., Guzmán-Carmona, C., López-Navia, A., & García-Lobato, C. (2024) · Nutrients · doi:10.3390/nu16121833 · Cited by 2 · see citing works

Agreement and reproducibility of a portable electrical impedance myography device for body fat percentage estimation in normal weight men and women

Ribeiro, J. G., Rossato, M. F., Orssatto, L. B. R., Picanço, L. A. A., Silva, D. A. S., & Bezerra, E. D. S. (2023) · Brazilian Journal of Kinanthropometry and Human Performance · doi:10.1590/1980-0037.2023v25e92458 · Cited by 1 · see citing works

Applications of bioimpedance measurement in clinical and allied fields: a comprehensive review

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Morphometric Changes in Children With Small Bowel Crohn Disease During Induction of Therapy

Steien, D. B., Dillman, J. R., Lopez, M. J., Ehrlich, P. F., & Adler, J. (2020) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0000000000003009 · Cited by 1 · see citing works

Agreement of bioimpedance analysis and ultrasound scanning for fat mass, fat free mass and body fat percentage evaluation in the group of adult women

Bondareva, E. A., Parfenteva, O. I., Vasileva, A. A., Kulemin, N. A., Gadzhiakhmedova, A. N., Ковалева, О. Н., & Николаевич, Х.-Б. Н. (2023) · Biological Communications · doi:10.21638/spbu03.2023.305 · Cited by 1 · see citing works

Bioelectrical impedance analysis for measuring body composition in an outpatient haemodialysis setting: a feasibility study

Gomes, K., Irwin, C. G., Desbrow, B., & Roberts, S. (2023) · Renal Society of Australasia Journal · doi:10.33235/rsaj.19.2.56-67 · Cited by 1 · see citing works

Bioelectrical Impedance Analysis to Assess Energy Expenditure in Critically Ill Patients: A Cross-Sectional Study

Zheng, Q., Li, F., Tang, W., Huang, X., Cao, S., Ping, F., Li, Y., Zhang, Z., & Huang, W. (2024) · American Journal of Critical Care · doi:10.4037/ajcc2024240 · Cited by 1 · see citing works

Aplicação de métodos de imagem, bioelétricos, antropométricos e funcionais para avaliação de composição corporal e estado nutricional na doença renal crônica

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In Reply: Acute Skeletal Muscle Wasting is Associated with Prolonged Hospital Stay in Critical Illness with Brain Injury

Kangalgil, M., Ulusoy, H., & Ayaz, S. (2024) · Neurocritical Care · doi:10.1007/s12028-024-02104-0 · Cited by 1 · see citing works

Mortality in COPD: Comparison of Different Predictors in Patients Seeking a Pulmonary Rehabilitation Program

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Body Composition Assessment and Protein Recommendations In Clinical Populations

Price, K. L. (2020) · University of Minnesota Digital Conservancy (University of Minnesota)

Imaging all the people : Associations of computed tomography-based body composition with mortality and fatigue in stage I-III colorectal cancer patients

van Baar, H. (2021) · doi:10.18174/551516

Desnutrición hospitalaria

Vaamonde, J., Buey, G. G., & Llavero-Valero, M. (2022) · Medicine - Programa de Formación Médica Continuada Acreditado · doi:10.1016/j.med.2022.12.002

Survey on Endocrinology and Nutrition undergraduate teaching in Spain-2021

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Paternina, F. J. P., Pereira, M. L., Durán, J. L. J., & Barbosa-Barbosa, J. (2023) · Revista de Nutrición Clínica y Metabolismo · doi:10.35454/rncm.v6n2.478

ВІДХИЛЕННЯ ВІД НОРМИ БІОІМПЕДАНСНИХ ПОКАЗНИКІВ ОРГАНІЗМУ У ПАЦІЄНТІВ З РІЗНИМ СТУПЕНЕМ ЗАХВОРЮВАННЯ ПАРОДОНТУ

Пиндус, В. Б., Дєньга, Е. М., Pyndus, T. O., Щепанський, Ф., & Шнайдер, С. А. (2023) · Інновації в стоматології · doi:10.35220/2523-420x/2023.4.4

Ángulo de fase y su relación con marcadores biológicos de salud.

Almanza, S. J. H., Perdomo, L. R., & Sierra, L. S. M. (2023) · REDIIS / Revista de Investigación e Innovación en Salud · doi:10.23850/rediis.v7i7.5624

Repeatability of Body Fat and Fat-Free Mass Measurements by Bioimpedance and Ultrasound Scanning Analysis in the Group of Young Adults

Bondareva, E. A., Parfenteva, O. I., Vasileva, A. A., Kulemin, N. A., Popova, E. V., Gadzhiakhmedova, A. N., Ковалева, О. Н., & Николаевич, Х.-Б. Н. (2023) · Human Physiology · doi:10.31857/s0131164622601002 · Cited by 1 · see citing works

Efficacy of Prehabilitation in Abdominal Cancer Surgery

Edbrooke, L., Abo, S., & Denehy, L. (2024) · Springer eBooks · doi:10.1007/978-3-031-56270-9_6

Development and validation of anthropometric equations for the prediction of skeletal muscle mass in hospitalized adults and older people using computer tomography.Preprint

Soares, B. L. D. M., Soares, N. M. D. M., Burgos, M. G. P. D. A., & de Arruda, I. K. G. (2024) · Research Square · doi:10.21203/rs.3.rs-4232829/v1

Nutritional Care Process in Hospitalized Patients with Obesity-Related Multimorbidity

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Equations for Assessing Body Composition by Ultrasound in Older Adults: A Narrative Review

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Age dynamics of somatometric indicators in composition with regards to mortality from circulatory system diseases in the population of northerners

Alyoshina, O. О., & Averyanova, I. V. (2025) · Siberian Journal of Life Sciences and Agriculture · doi:10.12731/2658-6649-2025-17-1-1047

Lumbar muscle density as a prognostic marker of nutritional deficiency in patients with pancreatic necrosis complicated by external duodenal fistulas: a pilot study

Petrikov, S. S., Kiselev, V. V., Сергеевна, Ж. М., Muslimov, R. S., Yartsev, P. A., & Хамидова, Л. Т. (2025) · Pirogov Russian Journal of Surgery · doi:10.17116/hirurgia202507146

Developing a predictive model for healing of clinically relevant pancreatic fistulas post-pancreatoduodenectomy based on clinical and imaging nutritional status

Xu, Y., Liu, B., Liu, H., Xu, R., Sun, J., Li, Y., Ren, T., Liu, H., Liu, H., & Zhou, J. (2025) · Japanese Journal of Radiology · doi:10.1007/s11604-025-01847-w

Interchangeability of different indirect methods for determining body composition

Bondareva, E. A., Аркадьевич, Г. Б., Николаевич, Х.-Б. Н., Mazurina, N. V., Ershova, E. V., Komshilova, K. A., & Troshina, E. A. (2025) · Problems of Endocrinology · doi:10.14341/probl13538

Decision-Making for Lymphedema Diagnostic and Surveillance Measures: A Case-Based Approach

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