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Gianluca Iacobellis - One of the best experts on this subject based on the ideXlab platform.
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Epicardial Fat Thickness as a Biomarker in Cardiovascular Disease
2016Co-Authors: Gianluca IacobellisAbstract:Epicardial adipose tissue is the visceral Fat depot of the heart with unique anatomical and functional properties. Epicardial Fat can be considered a novel biomarker of cardiovascular disease. Its Thickness can be visualized and measured using standard two-dimensional echocardiography with several advantages, including its low cost, easy accessibility, and good reproducibility. Echocardiographic epicardial Fat Thickness reflects the intra-abdominal visceral Fat and intramyocardial Fat accumulation. Epicardial Fat Thickness is related to traditional G. Iacobellis (*) Division of Diabetes, Endocrinology and Metabolism, Miller School of Medicine, University of Miami, Miami, FL, USA e-mail: giacobellis@med.miami.edu # Springer Science+Business Media Dordrecht 2015 V.B. Patel, V.R. Preedy (eds.), Biomarkers in Cardiovascular Disease, DOI 10.1007/978-94-007-7741-5_13-1 1 and novel cardiovascular risk factors. Epicardial Fat Thickness correlates and predicts the risk of metabolic syndrome. Epicardial Fat has been associated with the presence and severity of coronary artery disease, independent of traditional cardiometabolic risk factor and coronary calcification. Given its rapid metabolism and its simple objective measurability, epicardial Fat can serve as target for pharmaceutical agents targeting the adipose tissue.
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epicardial Fat Thickness and nonalcoholic Fatty liver disease in obese subjects
Obesity, 2014Co-Authors: Gianluca Iacobellis, Giorgio Barbarini, C Letizia, Giuseppe BarbaroAbstract:Objective Ectopic Fat accumulation within the heart and the liver are linked to an increased cardiovascular risk. Ultrasound-measured cardiac and liver steatosis are easily accessible markers of intra-organ ectopic Fat accumulation. The hypothesis that echocardiographic epicardial Fat Thickness is independently associated with nonalcoholic Fatty liver disease (NAFLD) in obese subjects is tested. Design and Methods Sixty-two obese (BMI > 30 kg m−2) subjects with ultrasonographic evidence of NAFLD and 62 control obese subjects without history or signs of NAFLD underwent echocardiographic epicardial Fat Thickness measurement. Results Epicardial Fat Thickness was significantly higher (P < 0.01) in obese subjects with NAFLD when compared to those without NAFLD. Epicardial Fat Thickness was significantly higher (9.7 ± 0.2 vs. 8 ± 0.7 mm, P < 0.01) in subjects with severe (ultrasound score 3) than those with moderate (score 2) liver steatosis. Among waist circumference and BMI, epicardial Fat Thickness resulted in the best independent correlate of liver steatosis (R2 = 0.77, P < 0.001). Conclusions Our study suggests that epicardial Fat is a good predictor of liver steatosis in obese subjects. Echocardiographic epicardial Fat predicts ultrasound-measured Fatty liver better than BMI or waist circumferences does. Patients with severe Fatty liver infiltration presented with the highest amount of cardiac Fat accumulation.
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Epicardial Fat Thickness and nonalcoholic Fatty liver disease in obese subjects
Obesity (Silver Spring Md.), 2013Co-Authors: Gianluca Iacobellis, Giorgio Barbarini, C Letizia, Giuseppe BarbaroAbstract:Objective Ectopic Fat accumulation within the heart and the liver are linked to an increased cardiovascular risk. Ultrasound-measured cardiac and liver steatosis are easily accessible markers of intra-organ ectopic Fat accumulation. The hypothesis that echocardiographic epicardial Fat Thickness is independently associated with nonalcoholic Fatty liver disease (NAFLD) in obese subjects is tested. Design and Methods Sixty-two obese (BMI > 30 kg m−2) subjects with ultrasonographic evidence of NAFLD and 62 control obese subjects without history or signs of NAFLD underwent echocardiographic epicardial Fat Thickness measurement. Results Epicardial Fat Thickness was significantly higher (P
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epicardial Fat Thickness and left ventricular mass in subjects with adrenal incidentaloma
Endocrine, 2013Co-Authors: Gianluca Iacobellis, Atil Y Kargi, Laura Zinnamosca, Luciano Colangelo, Cristiano Marinelli, Giuseppe Barbaro, Antonio Ciardi, Luigi Petramala, Valentina Serra, Giorgio De TomaAbstract:Emerging evidences indicate that patients diagnosed with adrenal incidentaloma may present with cardiovascular complications. Epicardial Fat is known to play a role in left ventricle (LV) changes. Whether epicardial Fat can be associated with LV mass (LVM) in patients with incidentaloma is unknown. We test the hypothesis that echocardiographic epicardial Fat Thickness is independently related to LVM in a well-studied group of subjects with adrenal incidentaloma. 46 consecutive patients (age 59 ± 9 years) with imaging diagnosis of adrenal incidentaloma and 30 healthy controls underwent echocardiogram for epicardial Fat Thickness and LVM measurement. Non-functional incidentaloma was confirmed in 40 subjects, whereas 6 patients were actually diagnosed with mild Cushing’s syndrome. Epicardial Fat Thickness was significantly higher in patients with incidentaloma and mild Cushing’s syndrome when compared to controls, (p < 0.01 for both). LVMh2.7 was higher in subjects with adrenal incidentaloma than in controls and higher in subjects with mild Cushing’s syndrome than in those with adrenal incidentaloma (p < 0.05 and p < 0.01). Multiple regression analysis showed that epicardial Fat Thickness was the best correlate (R 2 = 0.36, β 2.8, p < 0.01) of LVM in overall study patients. We showed for the first time that (1) epicardial Fat Thickness and LVM are higher in subjects with adrenal incidentaloma and (2) epicardial Fat Thickness independently correlates with LVM. Echocardiographic epicardial Fat may serve as non-invasive marker of visceral Fat and earlier cardiac abnormalities in patients with adrenal incidentaloma.
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Relation of Echocardiographic Epicardial Fat Thickness and Myocardial Fat
The American journal of cardiology, 2010Co-Authors: Alexis Elias Malavazos, Giovanni Di Leo, Francesco Secchi, Eleonora Norma Lupo, Giada Dogliotti, Calin Coman, Lelio Morricone, Massimiliano M. Corsi, Francesco Sardanelli, Gianluca IacobellisAbstract:Epicardial and myocardial Fats increase with degree of visceral adiposity and possibly contribute to obesity-associated cardiac changes. Echocardiographic epicardial Fat Thickness is a new and independent marker of visceral adiposity. The aim of this study was to test whether echocardiographic epicardial Fat is related to myocardial Fat. Twenty consecutive Caucasian men (body mass index 30.5 ± 2 kg/m 2 , 42 ± 7 years of age) underwent transthoracic echocardiography for epicardial Fat Thickness, morphologic and diastolic parameter measurements, hydrogen-1 magnetic resonance spectroscopy for myocardial Fat quantification, and magnetic resonance imaging for epicardial Fat volume estimation. Hydrogen-1 magnetic resonance spectroscopic myocardial Fat content, magnetic resonance imaging of epicardial Fat volume, and echocardiographic epicardial Fat Thickness range varied from 0.5% to 31%, 4.5 to 43 ml, and 3 to 15 mm, respectively. Myocardial Fat content showed a statistically significant correlation with echocardiographic epicardial Fat Thickness (r = 0.79, p
Serkan Guclu - One of the best experts on this subject based on the ideXlab platform.
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Ultrasonographic visceral Fat Thickness in the first trimester can predict metabolic syndrome and gestational diabetes mellitus.
Endocrine, 2014Co-Authors: Esra Bahar Gur, Ozlem Ince, Guluzar Arzu Turan, Muammer Karadeniz, Sumeyra Tatar, Esin Celik, Murat Yalcin, Serkan GucluAbstract:The aim of this study is to evaluate whether ultrasonographic visceral Fat Thickness measurement in the early gestational period is useful for predicting the development of gestational diabetes mellitus (GDM) and metabolic syndrome (MS). The visceral Fat Thickness and subcutaneous Fat Thickness were measured via ultrasound at the first prenatal visit. The correlation between visceral and subcutaneous Fat Thickness and MS parameters, such as dyslipidemia, hypertension, and insulin resistance, was assessed. We also compared the use of visceral Fat Thickness measurement with body mass index (BMI) and waist circumference (WC) measurements for predicting the development of GDM. The subcutaneous Fat Thickness was found to be similar in the normal glucose metabolism and GDM groups at the first visit, whereas the visceral Fat Thickness was found to be considerably higher in the GDM groups (p = 0.04). The visceral Fat Thickness in the early stage of the gestation was correlated with hyperglycemia, dyslipidemia, high diastolic blood pressure, and insulin resistance. In contrast to subcutaneous Fat Thickness, BMI, and WC, only the visceral Fat Thickness was correlated with insulin resistance. The subcutaneous and visceral Fat Thicknesses at the first visit were significantly higher in the MS group (p = 0.02). There was a good correlation between visceral and subcutaneous Fat Thicknesses (r = 0.492, p < 0.001); however, there were poor correlations between visceral Fat Thickness and BMI and WC (r = 0.338, p = 0.01; r = 0.312, p = 0.02). The visceral Fat Thickness seemed to be a more sensitive predictor of GDM than WC and BMI. The optimal cutoff points for predicting GDM were visceral Fat Thickness 19.5 mm [area under curve (AUC) = 0.66, p = 0.043], WC 103.5 cm (AUC = 0.64, p = 0.079), and BMI 34.5 (AUC = 0.64, p = 0.069). Ultrasonographic visceral Fat Thickness measurement in the early period of gestation may be an easy, safe, and cost-effective scan test for predicting the development of metabolic diseases and GDM.
Kunsoo Shin - One of the best experts on this subject based on the ideXlab platform.
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optical skin Fat Thickness measurement using miniaturized chip leds a preliminary human study
Journal of The Optical Society of Korea, 2009Co-Authors: Ee Hwa Kim, In Duk Hwang, Kunsoo Shin, Beop-min KimAbstract:We tested the feasibility of measuring Fat Thickness using a miniaturized chip LED sensor module, testing 12 healthy female subjects. The module consisted of a single detector and four sources at four different source-detector distances (SD). A segmental curve-fitting procedure was applied, using an empirical algorithm obtained by Monte-Carlo simulation, and Fat Thicknesses were estimated. These Thicknesses were compared to computed-tomography (CT) results; the correlation coefficient between CT and optical measurements was 0.932 for bicep sites. The mean percentage error between the two measurements was 13.12%. We conclude that Fat Thickness can be efficiently measured using the simple sensor module.
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Fat Thickness measurement using optical technique with miniaturized chip LEDs: A preliminary human study
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007Co-Authors: In Duk Hwang, Kunsoo ShinAbstract:In this study, we present the possibility of the Fat Thickness measurement using the miniaturized chip LEDs sensor module for the twelve healthy women. The newly developed sensor module consisted of four different source-detector distances. The measurement sites are the five parts of biceps, triceps, upper abdomen, front thigh, and calf and the range of Fat Thickness is from 3.5 mm to 39.0 mm. The fitting curve for each measurement sites is separately obtained. We obtained the correlation coefficient of 0.932 compared with the Fat Thickness of CT measurement for biceps site. For the three measurement sites of biceps, front thigh, and calf of twelve persons and namely 36 data points, the mean absolute difference Thickness and % error for the measured Thickness compared with that of reference CT Thickness are 1.08 mm and 11.49%, respectively. Based on this preliminary experiment, it is confirmed that the Fat Thickness measurement is possible with proper curve fitting procedure using slope analysis.
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evaluation of chip led sensor module for Fat Thickness measurement using tissue phantoms
International Conference of the IEEE Engineering in Medicine and Biology Society, 2006Co-Authors: In Duk Hwang, Kunsoo Shin, Beop-min KimAbstract:� Abstract— We tested the feasibility of noninvasive Fat Thickness measurements by using a diffuse optical method with variable source-detector pairs. A light source module composed of 770 nm low-power chip LEDs and a photodetector were used in this study. The tissue phantoms are composed of a Fat and a muscle layer made with gels with appropriate absorption/scattering coefficients. The Fat Thickness was varied from several to 30 mm. Based on this preliminary study, it is concluded that the noninvasive Fat Thickness measurement is possible with proper curve fitting procedure. I. INTRODUCTION here are many techniques used to study the lean body mass and subcutaneous Fat distribution (1). The imaging methods such as magnetic resonance imaging (MRI), computer tomography (CT), dual-energy X-ray absorptionmetry (DEXA), and ultrasound imaging, are precise and accurate techniques. But those methods are applicable in vary limited cases due to the high cost and the risk of radiological burden (CT, DEXA). A noninvasive optical approach for measuring the Fat Thickness has many advantages over these expensive technologies since it costs less and poses no radiation toxicity (2)-(3). More importantly, it can be incorporated with mobile devices. To develop a portable, miniaturized optical sensor module for targeting the general audience, appropriate source-detector distances (SD) and LED power should be determined within the limited
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Evaluation of chip LED sensor module for Fat Thickness measurement using tissue phantoms.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and, 2006Co-Authors: In Duk Hwang, Kunsoo Shin, Beop-min KimAbstract:We tested the feasibility of noninvasive Fat Thickness measurements by using a diffuse optical method with variable source-detector pairs. A light source module composed of 770 nm low-power chip LEDs and a photodetector were used in this study. The tissue phantoms are composed of a Fat and a muscle layer made with gels with appropriate absorption/scattering coefficients. The Fat Thickness was varied from several to 30 mm. Based on this preliminary study, it is concluded that the noninvasive Fat Thickness measurement is possible with proper curve fitting procedure.
Kin Hung Liu - One of the best experts on this subject based on the ideXlab platform.
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mesenteric Fat Thickness is associated with increased risk of obstructive sleep apnoea
Respirology, 2014Co-Authors: Kin Hung Liu, Winnie Cw W Chu, J Ngai, Jeff Wai Sang Chan, Anil T Ahuja, David Sc HuiAbstract:Background and objective Mesenteric Fat is a type of intraperitoneal adipose tissue draining into portal circulation. The objective of this study was to investigate the relationships between mesenteric Fat Thickness and obstructive sleep apnoea (OSA) in patients with suspected OSA. Methods One hundred forty-nine subjects (men: 114; women: 35) with suspected OSA underwent ultrasound examinations of mesenteric, preperitoneal and subcutaneous Fat Thickness after overnight polysomnography. Body mass index (BMI) and neck circumference were recorded. Results The subjects with OSA (n = 130, apnoea/hypopnoea index (AHI) >5/h) had greater neck circumference, higher BMI, and greater mesenteric and preperitoneal Fat Thickness than those without OSA (n = 19, AHI ≤ 5/h). There was positive correlation of AHI with mesenteric (r = 0.43, P < 0.001) and preperitoneal Fat Thickness (r = 0.3, P < 0.001), whereas no significant association was observed between AHI and subcutaneous Fat Thickness (r = 0.09, P = 0.27). On multivariate logistic regression, after adjustments for gender, age, BMI, neck circumference, and preperitoneal and subcutaneous Fat Thickness, the mesenteric Fat Thickness had a positive association with the presence of moderate OSA and severe OSA, with odds ratios of 7.18 and 7.45 for every 1 cm increase in mesenteric Fat Thickness when AHI was defined as ≥15/h and AHI ≥ 30/h, respectively. Conclusions Mesenteric Fat Thickness is associated with increased risk of OSA, independent of other abdominal Fat Thickness, BMI and neck circumference. Sonographic measurement is potentially a useful tool for further evaluating the complex association of visceral Fat, metabolic syndrome and OSA.
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Mesenteric Fat Thickness is associated with increased risk of obstructive sleep apnoea.
Respirology (Carlton Vic.), 2013Co-Authors: Kin Hung Liu, Winnie Cw W Chu, J Ngai, Jeff Wai Sang Chan, Anil T Ahuja, David Sc HuiAbstract:Background and objective Mesenteric Fat is a type of intraperitoneal adipose tissue draining into portal circulation. The objective of this study was to investigate the relationships between mesenteric Fat Thickness and obstructive sleep apnoea (OSA) in patients with suspected OSA. Methods One hundred forty-nine subjects (men: 114; women: 35) with suspected OSA underwent ultrasound examinations of mesenteric, preperitoneal and subcutaneous Fat Thickness after overnight polysomnography. Body mass index (BMI) and neck circumference were recorded. Results The subjects with OSA (n = 130, apnoea/hypopnoea index (AHI) >5/h) had greater neck circumference, higher BMI, and greater mesenteric and preperitoneal Fat Thickness than those without OSA (n = 19, AHI ≤ 5/h). There was positive correlation of AHI with mesenteric (r = 0.43, P
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mesenteric Fat Thickness is an independent determinant of metabolic syndrome and identifies subjects with increased carotid intima media Thickness
Diabetes Care, 2006Co-Authors: Kin Hung Liu, Juliana C.n. Chan, Y L Chan, Wing Bun Chan, Chiu Wing Winnie ChuAbstract:OBJECTIVE —Mesenteric Fat, a reflection of visceral adiposity, may play an important role in the pathogenesis of metabolic syndrome and cardiovascular diseases (CVD). In this study, we examined the independent relationship between mesenteric Fat Thickness and metabolic syndrome and defined its optimal cutoff value to identify high-risk subjects for metabolic syndrome and CVD. RESEARCH DESIGN AND METHODS —A total of 290 Chinese subjects had an ultrasound examination for measurements of Thickness of mesenteric, preperitoneal, and subcutaneous Fat as well as carotid intima-media Thickness (IMT). Anthropometric measurements and metabolic risk profile were assessed by physical examination and blood taking. RESULTS —Twenty (6.9%) subjects had metabolic syndrome according to the National Cholesterol Education Panel Adult Treatment Panel III criteria with Asian definitions for central obesity (waist circumference >80 cm in women and >90 cm in men). Mesenteric Fat Thickness had significant correlations ( P < 0.05) with various metabolic variables. On multivariate regression, mesenteric Fat Thickness was an independent determinant of all components of metabolic syndrome after adjustment for age, sex, homeostasis model assessment of insulin resistance, and other Fat deposits. The odds ratio of metabolic syndrome was increased by 1.35 (95% CI 1.10–1.66)-fold for every 1-mm increase in mesenteric Fat Thickness. On receiver-operating characteristic curve analysis, mesenteric Fat Thickness of ≥10 mm was the optimal cutoff value to identify metabolic syndrome, with sensitivity of 70% and specificity of 75%. Subjects with mesenteric Fat Thickness ≥10 mm had higher carotid IMT than those with Thickness <10 mm (0.73 ± 0.19 vs. 0.64 ± 0.16 mm, P = 0.001). CONCLUSIONS —Mesenteric Fat Thickness was an independent determinant of metabolic syndrome and identified subjects with increased carotid IMT.
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Mesenteric Fat Thickness Is an Independent Determinant of Metabolic Syndrome and Identifies Subjects With Increased Carotid Intima-Media Thickness
Diabetes care, 2006Co-Authors: Kin Hung Liu, Juliana C.n. Chan, Yu Leung Chan, Bun Chan, Chiu Wing Winnie ChuAbstract:OBJECTIVE —Mesenteric Fat, a reflection of visceral adiposity, may play an important role in the pathogenesis of metabolic syndrome and cardiovascular diseases (CVD). In this study, we examined the independent relationship between mesenteric Fat Thickness and metabolic syndrome and defined its optimal cutoff value to identify high-risk subjects for metabolic syndrome and CVD. RESEARCH DESIGN AND METHODS —A total of 290 Chinese subjects had an ultrasound examination for measurements of Thickness of mesenteric, preperitoneal, and subcutaneous Fat as well as carotid intima-media Thickness (IMT). Anthropometric measurements and metabolic risk profile were assessed by physical examination and blood taking. RESULTS —Twenty (6.9%) subjects had metabolic syndrome according to the National Cholesterol Education Panel Adult Treatment Panel III criteria with Asian definitions for central obesity (waist circumference >80 cm in women and >90 cm in men). Mesenteric Fat Thickness had significant correlations ( P < 0.05) with various metabolic variables. On multivariate regression, mesenteric Fat Thickness was an independent determinant of all components of metabolic syndrome after adjustment for age, sex, homeostasis model assessment of insulin resistance, and other Fat deposits. The odds ratio of metabolic syndrome was increased by 1.35 (95% CI 1.10–1.66)-fold for every 1-mm increase in mesenteric Fat Thickness. On receiver-operating characteristic curve analysis, mesenteric Fat Thickness of ≥10 mm was the optimal cutoff value to identify metabolic syndrome, with sensitivity of 70% and specificity of 75%. Subjects with mesenteric Fat Thickness ≥10 mm had higher carotid IMT than those with Thickness
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Mesenteric Fat Thickness as an independent determinant of Fatty liver
International journal of obesity (2005), 2006Co-Authors: Kin Hung Liu, Yuen-shan Chan, Juliana C.n. Chan, W.b. Chan, W L KongAbstract:Mesenteric Fat is drained by the portal circulation and has been suggested to be a key component in obesity-related health risk, notably the metabolic syndrome. There are increasing epidemiological and experimental data showing that Fatty liver is another component of this multifaceted syndrome. Given their intimate anatomical and physiological relationships, we hypothesized that mesenteric Fat Thickness may be independently associated with the risk of Fatty liver. To test this hypothesis, we examined the predictive role of various Fat deposits including mesenteric Fat Thickness, and various metabolic variables on the risk of Fatty liver. A total of 291 Chinese subjects (134 men and 157 women with a mean BMI of 23.7 kg/m2, range: 16.5–33.4 kg/m2) underwent ultrasound examination for measurement of mesenteric, subcutaneous and preperitoneal Fat Thickness, and for diagnosis of Fatty liver. Body mass index, waist circumference, and waist–hip ratio were recorded. Blood pressure was measured. Fasting plasma glucose, insulin resistance, high-density lipoprotein cholesterol (HDL-C), triglycerides, low-density lipoprotein cholesterol (LDL-C), liver enzymes were determined by common methods. The subjects with Fatty liver had greater abdominal Fat Thickness and higher anthropometric indexes than those without Fatty liver. The subjects with Fatty liver also showed higher blood pressure, worse lipid and glycaemic profile compared with those without Fatty liver. Using multiple logistic regression analysis, mesenteric Fat Thickness was a risk factor of Fatty liver, independent of body mass index, age, sex, insulin resistance, fasting plasma glucose, lipid and blood pressure. The odds ratio was 1.5 (95% confidence interval: 1.27–1.77) for every 1 mm increase in the mesenteric Fat Thickness. Measurement of preperitoneal and subcutaneous Fat deposits did not show significant associations with Fatty liver. Mesenteric Fat Thickness measured on ultrasound is an independent determinant of Fatty liver.
In Duk Hwang - One of the best experts on this subject based on the ideXlab platform.
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optical skin Fat Thickness measurement using miniaturized chip leds a preliminary human study
Journal of The Optical Society of Korea, 2009Co-Authors: Ee Hwa Kim, In Duk Hwang, Kunsoo Shin, Beop-min KimAbstract:We tested the feasibility of measuring Fat Thickness using a miniaturized chip LED sensor module, testing 12 healthy female subjects. The module consisted of a single detector and four sources at four different source-detector distances (SD). A segmental curve-fitting procedure was applied, using an empirical algorithm obtained by Monte-Carlo simulation, and Fat Thicknesses were estimated. These Thicknesses were compared to computed-tomography (CT) results; the correlation coefficient between CT and optical measurements was 0.932 for bicep sites. The mean percentage error between the two measurements was 13.12%. We conclude that Fat Thickness can be efficiently measured using the simple sensor module.
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Fat Thickness measurement using optical technique with miniaturized chip LEDs: A preliminary human study
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007Co-Authors: In Duk Hwang, Kunsoo ShinAbstract:In this study, we present the possibility of the Fat Thickness measurement using the miniaturized chip LEDs sensor module for the twelve healthy women. The newly developed sensor module consisted of four different source-detector distances. The measurement sites are the five parts of biceps, triceps, upper abdomen, front thigh, and calf and the range of Fat Thickness is from 3.5 mm to 39.0 mm. The fitting curve for each measurement sites is separately obtained. We obtained the correlation coefficient of 0.932 compared with the Fat Thickness of CT measurement for biceps site. For the three measurement sites of biceps, front thigh, and calf of twelve persons and namely 36 data points, the mean absolute difference Thickness and % error for the measured Thickness compared with that of reference CT Thickness are 1.08 mm and 11.49%, respectively. Based on this preliminary experiment, it is confirmed that the Fat Thickness measurement is possible with proper curve fitting procedure using slope analysis.
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evaluation of chip led sensor module for Fat Thickness measurement using tissue phantoms
International Conference of the IEEE Engineering in Medicine and Biology Society, 2006Co-Authors: In Duk Hwang, Kunsoo Shin, Beop-min KimAbstract:� Abstract— We tested the feasibility of noninvasive Fat Thickness measurements by using a diffuse optical method with variable source-detector pairs. A light source module composed of 770 nm low-power chip LEDs and a photodetector were used in this study. The tissue phantoms are composed of a Fat and a muscle layer made with gels with appropriate absorption/scattering coefficients. The Fat Thickness was varied from several to 30 mm. Based on this preliminary study, it is concluded that the noninvasive Fat Thickness measurement is possible with proper curve fitting procedure. I. INTRODUCTION here are many techniques used to study the lean body mass and subcutaneous Fat distribution (1). The imaging methods such as magnetic resonance imaging (MRI), computer tomography (CT), dual-energy X-ray absorptionmetry (DEXA), and ultrasound imaging, are precise and accurate techniques. But those methods are applicable in vary limited cases due to the high cost and the risk of radiological burden (CT, DEXA). A noninvasive optical approach for measuring the Fat Thickness has many advantages over these expensive technologies since it costs less and poses no radiation toxicity (2)-(3). More importantly, it can be incorporated with mobile devices. To develop a portable, miniaturized optical sensor module for targeting the general audience, appropriate source-detector distances (SD) and LED power should be determined within the limited
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Evaluation of chip LED sensor module for Fat Thickness measurement using tissue phantoms.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and, 2006Co-Authors: In Duk Hwang, Kunsoo Shin, Beop-min KimAbstract:We tested the feasibility of noninvasive Fat Thickness measurements by using a diffuse optical method with variable source-detector pairs. A light source module composed of 770 nm low-power chip LEDs and a photodetector were used in this study. The tissue phantoms are composed of a Fat and a muscle layer made with gels with appropriate absorption/scattering coefficients. The Fat Thickness was varied from several to 30 mm. Based on this preliminary study, it is concluded that the noninvasive Fat Thickness measurement is possible with proper curve fitting procedure.