ABSTRACT
RESUMEN Fundamento: La obesidad abdominal en gestantes es un marcador de riesgo cardiometabólico independientemente de la adiposidad general, siendo la ultrasonografía de gran utilidad para distinguir los compartimientos adiposos del abdomen y diagnosticar tal peligro al inicio de la gestación. Objetivo: Determinar asociaciones entre variables ecográficas de adiposidad abdominal y variables analíticas y antropométricas en gestantes normopeso al inicio del embarazo según fenotipos metabólicos empleando análisis de correlación canónica. Metodología: Estudio transversal en 526 embarazadas normopeso, entre 12 y 14 semanas de edad gestacional, atendidas en consulta de ultrasonido del Policlínico Docente Chiqui Gómez, municipio Santa Clara. Se midieron las grasas abdominales subcutánea, preperitoneal y visceral, así como variables antropométricas y analíticas. Se conformaron 3 fenotipos metabólicos, y se aplicó la correlación canónica para determinar el nexo entre las mismas y su comportamiento en los diferentes fenotipos. Resultados: Se identificaron 2 conjuntos de variables con correlaciones canónicas que se incrementaron del fenotipo saludable al metabólicamente obeso con valores de 0.6930 a 0.8955 y 0.9298 respectivamente y alta significancia estadística (p=0.000). Conclusiones: Se demuestra el nexo entre las variables ecográficas de adiposidad abdominal grasa subcutánea y grasa visceral y las variables analíticas resistencia a Ia insulina, producto de acumulación lipídico, índice aterogénico y glucemia, evidenciado por los altos valores de correlaciones canónicas obtenidos según cambia el fenotipo de normopeso saludable al metabólicamente obeso; orientando un nuevo enfoque en la determinación de fenotipos de riesgo metabólico en la gestación temprana en mujeres normopeso.
ABSTRACT Background: Abdominal obesity in pregnant women is an indicator of cardiometabolic risk with non-independence of general adiposity, being the ultrasound very useful to distinguish the abdomen adipose compartments also diagnose this risk at the beginning of pregnancy. Objective: To determine possible associations between the ultrasound variables of abdominal adiposity and those analytical and anthropometric in normal-weight pregnant women at the beginning of pregnancy according to metabolic phenotypes using canonical correlation analysis. Methodology: A cross-sectional study in 526 normal-weight pregnant women, between 12 and 14 weeks of gestational age, assisted in the ultrasound office at Chiqui Gómez teaching polyclinic, in Santa Clara city. Subcutaneous, preperitoneal and visceral abdominal fats were measured, as well as anthropometric and analytical variables. Three metabolic phenotypes were formed, and canonical correlation was applied to determine their relation and also behavior among the different phenotypes. Results: 2 sets of variables were identified with canonical correlations that increased from the healthy to the metabolically obese phenotype with values from 0.6930 to 0.8955 and 0.9298 respectively and high statistical significance (p=0.000). Conclusions: The link between the ultrasound variables of abdominal adiposity, subcutaneous and visceral fat and the analytical insulin resistance, lipid accumulation product, atherogenic index and blood glucose is demonstrated, evidenced by the high values of canonical correlations obtained as the phenotype changes from healthy normal-weight to metabolically obese; guiding a new approach in the resolve of the metabolic risk phenotypes in early gestation in normal-weight women.
Subject(s)
Anthropometry , Pregnant Women , Subcutaneous Fat, Abdominal/diagnostic imaging , AdiposityABSTRACT
Introducción. La obesidad infantil puede causar hiperlipidemia y esteatosis hepática y complicaciones crónicas. Nuestro objetivo fue evaluar la relación entre el espesor de la grasa subcutánea abdominal (GSA) y la esteatosis hepática, las transaminasas y los lípidos séricos en niños obesos.Población y métodos. Estudio retrospectivo en niños (4-18 años) que acudieron a los consultorios externos. Se evaluaron las asociaciones entre el espesor de la GSA mediante ecografía y la esteatosis hepática, alanina aminotransferasa (ALT), aspartato aminotransferasa (AST) y el perfil lipídico sérico.Resultados. Se identificaron 95 niños con esteatosis hepática; el grado 1 fue el más frecuente (73,6 %, n: 70), seguido del grado 2 (21,1 %) y del 3 (5,3 %). El espesor medio (en mm) de la GSA de línea media y flancos fue 38,48 ± 11,53 y 20,91 ± 8,00 en grado 1; 41,23 ± 10,03 y 19,84 ± 6,75 en grado 2, y 63,12 ± 12,08 y 23,22 ± 5,92 en grado 3, respectivamente. El espesor de la GSA de línea media y flancos se correlacionó positivamente con triglicéridos en grado 3; el espesor de la GSA de línea media se correlacionó con el índice de masa corporal, colesterol total, colesterol LDL y AST (r: 0,9; p: 0,037; r: 0,648; p: 0,001; r: 0,387; p: 0,001; r: 0,406; p: 0,001; r: 0,463; p: 0,001; respectivamente) en grado 1.Conclusión. El espesor de la GSA mediante ecografía puede predecir hiperlipidemia en niños obesos con esteatosis hepática de grado 3 e hipercolesterolemia en grado 1.
Introduction. Childhood obesity can cause hyperlipidemia and hepatic steatosis at early age and chronic disease complications in adult life. We aimed to evaluate the relationship between abdominal subcutaneous fat thickness (ASFT) and hepatic steatosis, serum lipid and transaminase levels in obese children.Population and methods. A retrospective study was conducted with children (aged 4-18 years) who presented to outpatient clinic due to obesity. Associations between ASFT as assessed by ultrasonography (US) and hepatic steatosis, alanine transaminase (ALT), aspartate transaminase (AST) and serum lipid profile were evaluated.Results. We identified 95 children, all of which were diagnosed as having hepatic steatosis; the most common type was grade 1 (73.6 %, n: 70), followed by grade 2 (21.1 %) and grade 3 (5.3 %). The mean values of midline and flank ASFT were measured as 38.48 ± 11.53 mm and 20.91 ± 8.00 mm in grade 1; 41.23 ± 10.03 and 19.84 ± 6.75 in grade 2 and 63.12 ± 12.08 and 23.22 ± 5.92 in grade 3 hepatic steatosis, respectively. Midline and flank ASFT correlated positively with triglycerides in grade 3 steatosis, while midline ASFT correlated with body mass index, total cholesterol, low-density lipoprotein cholesterol, and AST (r: 0.9; p: 0.037; r: 0.648, p: 0.001; r: 0.387, p: 0.001; r: 0.406, p: 0.001, r: 0.463, p: 0.001; respectively) in grade 1 steatosis.Conclusion. ASFT as assessed by US may be of predictive value for hyperlipidemia in grade 3 and for hypercholesterolemia in grade 1 hepatic steatosis in obese children.
Subject(s)
Humans , Male , Child, Preschool , Child , Adolescent , Subcutaneous Fat, Abdominal/diagnostic imaging , Pediatric Obesity , Turkey/epidemiology , Retrospective Studies , Lipid Metabolism , Fatty Liver/diagnostic imaging , TransaminasesABSTRACT
OBJECTIVE: To evaluate the impact of the adaptive iterative dose reduction (AIDR) three-dimensional (3D) algorithm in CT on noise reduction and the image quality compared to the filtered back projection (FBP) algorithm and to compare the effectiveness of AIDR 3D on noise reduction according to the body habitus using phantoms with different sizes. MATERIALS AND METHODS: Three different-sized phantoms with diameters of 24 cm, 30 cm, and 40 cm were built up using the American College of Radiology CT accreditation phantom and layers of pork belly fat. Each phantom was scanned eight times using different mAs. Images were reconstructed using the FBP and three different strengths of the AIDR 3D. The image noise, the contrast-to-noise ratio (CNR) and the signal-to-noise ratio (SNR) of the phantom were assessed. Two radiologists assessed the image quality of the 4 image sets in consensus. The effectiveness of AIDR 3D on noise reduction compared with FBP were also compared according to the phantom sizes. RESULTS: Adaptive iterative dose reduction 3D significantly reduced the image noise compared with FBP and enhanced the SNR and CNR (p < 0.05) with improved image quality (p < 0.05). When a stronger reconstruction algorithm was used, greater increase of SNR and CNR as well as noise reduction was achieved (p < 0.05). The noise reduction effect of AIDR 3D was significantly greater in the 40-cm phantom than in the 24-cm or 30-cm phantoms (p < 0.05). CONCLUSION: The AIDR 3D algorithm is effective to reduce the image noise as well as to improve the image-quality parameters compared by FBP algorithm, and its effectiveness may increase as the phantom size increases.
Subject(s)
Animals , Algorithms , Body Size , Image Processing, Computer-Assisted/methods , Phantoms, Imaging/standards , Radiation Dosage , Signal-To-Noise Ratio , Subcutaneous Fat, Abdominal/diagnostic imaging , Swine , Tomography, X-Ray Computed/methodsABSTRACT
Computed tomography (CT) exams were conducted to determine the distribution of abdominal fat identified based on the CT number measured in Hounsfield Units (HU) and to measure the volume of the abdominal visceral and subcutaneous fat in minipigs. The relationship between the CT-based fat volumes of several vertebral levels and the entire abdomen and anthropometric data including the sagittal abdominal diameter and waist circumference were evaluated. Moreover, the total fat volumes at the T11, T13, L3, and L5 levels were compared with the total fat volume of the entire abdomen to define the landmark of abdominal fat distribution. Using a single-detector CT, six 6-month-old male minipigs were scanned under general anesthesia. Three radiologists then assessed the HU value of visceral and subcutaneous abdominal fat by drawing the region of interest manually at the T11, T13, L1, L3, and L5 levels. The CT number and abdominal fat determined in this way by the three radiologists was found to be correlated (intra-class coefficient = 0.9). The overall HU ranges for the visceral and subcutaneous fat depots were -147.47 to -83.46 and -131.62 to -90.97, respectively. The total fat volume of the entire abdomen was highly correlated with the volume of abdominal fat at the T13 level (r = 0.97, p < 0.0001). These findings demonstrate that the volume of abdominal adipose tissue measured at the T13 level using CT is a strong and reliable predictor of total abdominal adipose volume.