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Updated: Jul 5, 2025
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
[Associations between Skeletal Muscle Mass, Physical Function, and Quality of Life at Diagnosis in Patients with
Keiichi Osaki1, Shinichiro Morishita, Akiho Kamimura
1Dept. of Rehabilitation, Panasonic Health Insurance Organization, Matsushita Memorial Hospital.
Introduction:
Skeletal muscle mass is considered a prognostic factor for survival in patients with cancer. In this study, we investigated the associations between skeletal muscle mass, physical function, fatigue, and quality of life(QOL)at diagnosis in patients with hematological malignancies.
Methods:
In this study, we included 27 untreated patients with newly diagnosed hematological malignancies who visited our hospital. The patients were assessed during the period from diagnosis to the start of chemotherapy. Data regarding age, white blood cell count, hemoglobin level, platelet count, and body mass index(BMI)were obtained from the patients' medical records. In addition, skeletal muscle mass index(SMI), phase angle (PhA), grip strength, knee extension strength, and short physical performance battery, brief fatigue inventory, EuroQol 5 dimensions 5-levels, and mini nutritional assessment short-form scores were calculated.
Results:
The mean SMI value was 6.6±1.3 kg/m2(7.4±1.2 kg/m2 in men and 5.7±0.6 kg/m2 in women). SMI showed significant correlations with platelet count(r=-0.42, p=0.03), BMI(r=0.61, p≤0.01), PhA(r=0.54, p≤0.01), grip strength(r=0.81, p≤0.01), and knee extension strength(r=0.49, p=0.01). Multiple regression analysis, conducted using SMI as the dependent variable, revealed that BMI and grip strength were significant variables(p≤0.01).
Discussion:
In untreated patients with newly diagnosed hematological malignancies, SMI was associated with BMI and grip strength but not with fatigue or QOL. Assessment of BMI and grip strength at diagnosis may help predict skeletal muscle mass.
