scholarly journals Is SUV Corrected for Lean Body Mass Superior to SUV of Body Weight in 68Ga-PSMA PET/CT?

2021 ◽  
Vol 30 (3) ◽  
pp. 144-149
Author(s):  
Ayşegül Aksu ◽  
Gamze Çapa Kaya
Keyword(s):  
Body Weight ◽  
Lean Body Mass ◽  
Body Mass ◽  
Psma Pet ◽  
Pet Ct

scholarly journals Evaluation of SUV normalized by lean body mass (SUL) in 68Ga-PSMA11 PET/CT: a bi-centric analysis

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Andrei Gafita ◽  
Jeremie Calais ◽  
Charlott Franz ◽  
Isabel Rauscher ◽  
Hui Wang ◽  
...  
Keyword(s):  
Body Weight ◽  
Lean Body Mass ◽  
Body Mass ◽  
Standardized Uptake Value ◽  
Ct Scans ◽  
Volume Of Interest ◽  
Pet Ct ◽  
Positive Correlations ◽  
The Right

Abstract Introduction The aim of this analysis was to investigate whether the standardized uptake value (SUV) normalized by lean body mass (SUL) is a more appropriate quantitative parameter compared to the commonly used SUV normalized by patient’s weight in 68Ga-PSMA11 PET/CT. Material and methods 68Ga-PSMA11 PET/CT scans of 121 patients with prostate cancer from two institutions were evaluated. Liver SUV was measured within a 3-cm volume-of-interest (VOI) in the right hepatic lobe and corrected for lean body mass using the Janmahasatian formula. SUV and SUL repeatability between baseline and follow-up scans of the same patients were assessed. Results SUV was significantly positively correlated with body weight (r = 0.35, p = 0.02). In contrast, SUL was not correlated with body weight (r = 0.23, p = 0.07). No significant differences were found between baseline and follow-up scan (p = 0.52). Conclusion The Janmahasatian formula annuls the positive correlations between SUV and body weight, suggesting that SUL is preferable to SUV for quantitative analyses of 68Ga-PSMA11 PET/CT scans.

scholarly journals A method for evaluation of patient-specific lean body mass from limited-coverage CT images and its application in PERCIST: comparison with predictive equation

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Jingjie Shang ◽  
Zhiqiang Tan ◽  
Yong Cheng ◽  
Yongjin Tang ◽  
Bin Guo ◽  
...  
Keyword(s):  
Lean Body Mass ◽  
Body Mass ◽  
Whole Body ◽  
Patient Specific ◽  
Predictive Equation ◽  
Reference Standard ◽  
Pet Ct ◽  
Before And After ◽  
Percist 1.0 ◽  
Limited Coverage

Abstract Background Standardized uptake value (SUV) normalized by lean body mass ([LBM] SUL) is recommended as metric by PERCIST 1.0. The James predictive equation (PE) is a frequently used formula for LBM estimation, but may cause substantial error for an individual. The purpose of this study was to introduce a novel and reliable method for estimating LBM by limited-coverage (LC) CT images from PET/CT examinations and test its validity, then to analyse whether SUV normalised by LC-based LBM could change the PERCIST 1.0 response classifications, based on LBM estimated by the James PE. Methods First, 199 patients who received whole-body PET/CT examinations were retrospectively retrieved. A patient-specific LBM equation was developed based on the relationship between LC fat volumes (FVLC) and whole-body fat mass (FMWB). This equation was cross-validated with an independent sample of 97 patients who also received whole-body PET/CT examinations. Its results were compared with the measurement of LBM from whole-body CT (reference standard) and the results of the James PE. Then, 241 patients with solid tumours who underwent PET/CT examinations before and after treatment were retrospectively retrieved. The treatment responses were evaluated according to the PE-based and LC-based PERCIST 1.0. Concordance between them was assessed using Cohen’s κ coefficient and Wilcoxon’s signed-ranks test. The impact of differing LBM algorithms on PERCIST 1.0 classification was evaluated. Results The FVLC were significantly correlated with the FMWB (r=0.977). Furthermore, the results of LBM measurement evaluated with LC images were much closer to the reference standard than those obtained by the James PE. The PE-based and LC-based PERCIST 1.0 classifications were discordant in 27 patients (11.2%; κ = 0.823, P=0.837). These discordant patients’ percentage changes of peak SUL (SULpeak) were all in the interval above or below 10% from the threshold (±30%), accounting for 43.5% (27/62) of total patients in this region. The degree of variability is related to changes in LBM before and after treatment. Conclusions LBM algorithm-dependent variability in PERCIST 1.0 classification is a notable issue. SUV normalised by LC-based LBM could change PERCIST 1.0 response classifications based on LBM estimated by the James PE, especially for patients with a percentage variation of SULpeak close to the threshold.

scholarly journals Topiramate administration decreases body weight and preserves lean body mass in hemicranic women

2009 ◽  
Vol 4 (3) ◽  
pp. e148-e151
Author(s):  
Francesco Di Sabato ◽  
Pamela Fiaschetti ◽  
Carlina V. Albanese ◽  
Roberto Passariello ◽  
Filippo Rossi Fanelli ◽  
...  
Keyword(s):  
Body Weight ◽  
Lean Body Mass ◽  
Body Mass

Increases in adipose and total body weight, but not in lean body mass, associated with subcutaneous administration of Sonic hedgehog-Ig fusion protein to mice

2002 ◽  
Vol 57 (3) ◽  
pp. 107-114 ◽  
Author(s):  
Pauline L. Martin ◽  
Joan Lane ◽  
Louise Pouliot ◽  
Malcolm Gains ◽  
Rudolph Stejskal ◽  
...  
Keyword(s):  
Body Weight ◽  
Fusion Protein ◽  
Lean Body Mass ◽  
Body Mass ◽  
Sonic Hedgehog ◽  
Subcutaneous Administration ◽  
Total Body Weight ◽  
Total Body

A Simple Test for the Assessment of Aerobic Fitness

1988 ◽  
Vol 74 (2) ◽  
pp. 107-114
Author(s):  
D. J. Smith ◽  
R. J. Pethybridge ◽  
A Duggan
Keyword(s):  
Heart Rate ◽  
Body Weight ◽  
Physical Fitness ◽  
Lean Body Mass ◽  
Body Mass ◽  
Test Score ◽  
Linear Regression Analysis ◽  
Treadmill Running ◽  
Step Test ◽  
Anthropometric Measures

SummaryThe relationship between physical fitness, anthropometric measures, and the scores in three submaximal step tests have been evaluated in a group of 30 male subjects. Physical fitness was assessed as VO2max measured directly during uphill treadmill running. Each submaximal exercise test was of six minutes duration and the heart rate recorded during the last minute (fH6) constituted the test score. Significant negative correlation coefficients were found between VO2max and each test score while lean body mass, gross body weight and body surface area were allpositively correlated with VO2max (1/min). The score in the least severe step test was included with anthropometric measures in multiple linear regression analysis for the prediction of VO2max and a number of prediction equations were derived. It was found that when lean body mass is calculated from skinfold measurements and weight, VO2max can be calculated from the equation:VO2max(1/min) = 1.470 + 0.0614 × Lean Body mass −0.0131 × fH6This equation accounts for 73% of the total variation of VO2max. If lean body mass cannot be calculated, a combination of gross body weight and age plus fH6 gives the equation:VO2max = 3.614 + 0.0349 × Weight – 0.0177 × fH6−0.0161 × Ageaccounting for 66% of the variance. The test has the following advantages over those currently employed:It is simple to administer requiring 6 minutes of stepping onto a 32 cm platform—the height of a gymnasium bench—20 times per minute.Although ideally an assessment oflean body mass is required, gross body weight plus age is a good second best.It is submaximal, minimising the stress on the individual (mean heart rate achieved 121 beats per minute).Its accuracy in terms of its ability to predict maximal aerobic power is better than either the Ohio or Harvard University tests.It is suggested that this test could be used where maximal testing is contraindicated or where currently used tests are insufficiently accurate.

Changes in the aerobic capacity and body composition in obese boys after reduction

1965 ◽  
Vol 20 (5) ◽  
pp. 934-937 ◽  
Author(s):  
ŠtĚpánka Šprynarová ◽  
Jana Pařízková
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Lean Body Mass ◽  
Body Mass ◽  
Negative Relationship ◽  
Maximum Oxygen Consumption ◽  
Vo2 Max ◽  
Significant Drop ◽  
Body Weight Reduction ◽  
Significant Negative Relationship

Seven obese boys submitted themselves to a 7-week regimen of dietary restriction and regular exercise. Measurements were made at the beginning and end of the period. A significant drop in body weight was achieved by reduction of adipose tissue and also of lean body mass (LBM). The ratio of LBM to body weight increased. These changes were associated with significant drop of maximum oxygen consumption. The increase of the Vo2 max per kilogram of body weight and the drop of the Vo2 max per kilogram of LBM were not significant. Between the decrease of LBM and the drop of Vo2 max there exists a significant negative relationship; and between the decrease of LBM and the rise of the Vo2 max per kilogram of body weight, a significant positive relationship. The decrease of Vo2 max in these boys was not considered due to deteriorated circulatory or respiratory function but to changes in body composition. maximum O2 consumption; body weight reduction; lean body mass Submitted on February 17, 1964

Effects of exercise on fluid exchange and body composition in man during 14-day bed rest

1977 ◽  
Vol 43 (1) ◽  
pp. 126-132 ◽  
Author(s):  
J. E. Greenleaf ◽  
E. M. Bernauer ◽  
L. T. Juhos ◽  
H. L. Young ◽  
J. T. Morse ◽  
...  
Keyword(s):  
Body Weight ◽  
Metabolic Rate ◽  
Lean Body Mass ◽  
Body Mass ◽  
Body Position ◽  
Isometric Exercise ◽  
Bed Rest ◽  
The Body ◽  
Fluid Exchange ◽  
Isotonic Exercise

To determine the cause of the body weight loss during bed rest (BR), fluid balance and anthropometric measurements were taken from seven men (19–21 yr) during three 2-wk BR periods which were separated by 3-wk ambulatory recovery periods. Caloric intake was 3,073 +/- 155 (SD) kcal/day. During two of the three BR periods they performed supine isotonic exercise at 68% of VO2max on the ergometer for 1 h/day; or supine isometric exercise at 21% of maximal leg extension force for 1 min followed by a 1-min rest for 1 h/day. No prescribed exercise was given during the other BR period. During BR, body weight decreased slightly with no exercise (-0.43 kg, NS), but decreased significantly (P less than 0.05) by -0.91 kg with isometric and by -1.77 kg with isotonic exercise. About one-third of the weight reduction with isotonic exercise was due to fat loss (-0.69 kg) and, the remainder, to loss of lean body mass (-0.98 kg). It is concluded that the reduction in body weight during bed rest has two major components: First, a loss of lean body mass caused by assumption of the horizontal body position that is independent of the metabolic rate. Second, a loss of body fat content that is proportional to the metabolic rate.

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