Association between muscle mass assessed by an artificial intelligence-based ultrasound imaging system and quality of life in patients with cancer-related malnutrition.

Authors

de Luis D,Cebria A,Primo D,Izaola O,Godoy EJ,Gomez JJL

Affiliations (3)

  • Centro de Investigación of Endocrinología and Nutrición Facultad de medicina Universidad de Valladolid. Depto. Endocrinología Nutrición Hospital Clínico Universitario de Valladolid, Valladolid, Spain. Electronic address: [email protected].
  • DAWAKO Medtech S.L., Parc Cientìfic de la Universitat de Valencia, Valencia, Spain; Departamento de Informática, Universitat de Valencia, Técnicas Avanzadas de Desarrollo de Software centrado en la Persona, Valencia. Spain.
  • Centro de Investigación of Endocrinología and Nutrición Facultad de medicina Universidad de Valladolid. Depto. Endocrinología Nutrición Hospital Clínico Universitario de Valladolid, Valladolid, Spain.

Abstract

Emerging evidence suggests that diminished skeletal muscle mass is associated with lower health-related quality of life (HRQOL) in individuals with cancer. There are no studies that we know of in the literature that use ultrasound system to evaluate muscle mass and its relationship with HRQOL. The aim of our study was to evaluate the relationship between HRQOL determined by the EuroQol-5D tool and muscle mass determined by an artificial intelligence-based ultrasound system at the rectus femoris (RF) level in outpatients with cancer. Anthropometric data by bioimpedance (BIA), muscle mass by ultrasound by an artificial intelligence-based at the RF level, biochemistry determination, dynamometry and HRQOL were measured. A total of 158 patients with cancer were included with a mean age of 70.6 ±9.8 years. The mean body mass index was 24.4 ± 4.1 kg/m<sup>2</sup> with a mean body weight of 63.9 ± 11.7 kg (38% females and 62% males). A total of 57 patients had a severe degree of malnutrition (36.1%). The distribution of the location of the tumors was 66 colon-rectum cancer (41.7%), 56 esophageal-stomach cancer (35.4%), 16 pancreatic cancer (10.1%), and 20.2% other locations. A positive correlation cross-sectional area (CSA), muscle thickness (MT), pennation angle, (BIA) parameters, and muscle strength was detected. Patients in the groups below the median for the visual scale and the EuroQol-5D index had lower CSA and MT, BIA, and muscle strength values. CSA (beta 4.25, 95% CI 2.03-6.47) remained in the multivariate model as dependent variable (visual scale) and muscle strength (beta 0.008, 95% CI 0.003-0.14) with EuroQol-5D index. Muscle strength and pennation angle by US were associated with better score in dimensions of mobility, self-care, and daily activities. CSA, MT, and pennation angle of RF determined by an artificial intelligence-based muscle ultrasound system in outpatients with cancer were related to HRQOL determined by EuroQol-5D.

Topics

Quality of LifeNeoplasmsMalnutritionArtificial IntelligenceQuadriceps MuscleMuscle, SkeletalJournal Article

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