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Sakowicz A, Grobman WA, Miller ES. The Diagnostic Utility of Growth Ultrasound for the Indication of Maternal Overweight or Obesity. Am J Perinatol 2024; 41:606-610. [PMID: 35045575 DOI: 10.1055/a-1745-0091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
OBJECTIVE The objective of this study was to evaluate the diagnostic utility of serial growth ultrasounds for the indication of maternal overweight or obesity. STUDY DESIGN This is a retrospective cohort study of all women with a body mass index ≥25 kg/m2 who underwent at least one growth ultrasound at ≥24 weeks gestation and delivered at a single tertiary care institution between January 2010 and December 2013. Women were excluded if they had other medical indications for growth ultrasounds. Ultrasounds were divided into three gestational age epochs: 24 to 316/7 weeks, 32 to 356/7 weeks, and ≥36 weeks. Outcomes examined included the accuracy of sonographic detection of fetal growth restriction (FGR) and fetal overgrowth compared with diagnoses of small for gestational age (SGA) and large for gestational age (LGA) based on the birth weight. The test characteristics of ultrasound and the number needed to screen (NNS) to detect growth abnormalities at the time of birth were estimated for each condition and gestational age epoch. The NNS for the detection of fluid abnormalities was also assessed. RESULTS During the study period, 3,945 eligible sonograms were performed in 2,928 women. FGR was identified on ultrasound in 42 (1.4%) women, fetal overgrowth in 94 (3.2%) women, oligohydramnios in 35 (1.2%) women, and hydramnios in 41 (1.4%) women. The NNS for the diagnoses of SGA, LGA, oligohydramnios, and hydramnios at delivery was at least 137 prior to 32 weeks of gestation and decreased (i.e., at least 45 and 16, for 32 to 356/7 weeks and ≥36 weeks, respectively) with advancing gestational age epochs. CONCLUSION If growth ultrasounds are to be performed for the sole indication of maternal overweight or obesity, consideration should be given to delaying initiation until at least 32 weeks of gestation given the infrequency of growth and fluid abnormalities identified earlier. KEY POINTS · There are limited data to support serial growth ultrasounds in overweight and obese women.. · The sensitivity of ultrasound for growth abnormalities at <32 weeks is low in women with BMI ≥25. · Consideration should be given to delaying initiation of growth ultrasounds until at least 32 weeks.
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Affiliation(s)
- Allie Sakowicz
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - William A Grobman
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Emily S Miller
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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Finkelstein O, Levakov G, Kaplan A, Zelicha H, Meir AY, Rinott E, Tsaban G, Witte AV, Blüher M, Stumvoll M, Shelef I, Shai I, Riklin Raviv T, Avidan G. Deep learning-based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention. Hum Brain Mapp 2024; 45:e26595. [PMID: 38375968 PMCID: PMC10878010 DOI: 10.1002/hbm.26595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 11/16/2023] [Accepted: 01/03/2024] [Indexed: 02/21/2024] Open
Abstract
Obesity is associated with negative effects on the brain. We exploit Artificial Intelligence (AI) tools to explore whether differences in clinical measurements following lifestyle interventions in overweight population could be reflected in brain morphology. In the DIRECT-PLUS clinical trial, participants with criterion for metabolic syndrome underwent an 18-month lifestyle intervention. Structural brain MRIs were acquired before and after the intervention. We utilized an ensemble learning framework to predict Body-Mass Index (BMI) scores, which correspond to adiposity-related clinical measurements from brain MRIs. We revealed that patient-specific reduction in BMI predictions was associated with actual weight loss and was significantly higher in active diet groups compared to a control group. Moreover, explainable AI (XAI) maps highlighted brain regions contributing to BMI predictions that were distinct from regions associated with age prediction. Our DIRECT-PLUS analysis results imply that predicted BMI and its reduction are unique neural biomarkers for obesity-related brain modifications and weight loss.
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Affiliation(s)
- Ofek Finkelstein
- Department of Cognitive and Brain SciencesBen‐Gurion University of the NegevBeer ShevaIsrael
| | - Gidon Levakov
- Department of Cognitive and Brain SciencesBen‐Gurion University of the NegevBeer ShevaIsrael
| | - Alon Kaplan
- The Health & Nutrition Innovative International Research Center, Faculty of Health SciencesBen Gurion University of the NegevBeer ShevaIsrael
- The Chaim Sheba Medical Center, Tel HashomerRamat‐GanIsrael
| | - Hila Zelicha
- The Health & Nutrition Innovative International Research Center, Faculty of Health SciencesBen Gurion University of the NegevBeer ShevaIsrael
| | - Anat Yaskolka Meir
- The Health & Nutrition Innovative International Research Center, Faculty of Health SciencesBen Gurion University of the NegevBeer ShevaIsrael
| | - Ehud Rinott
- The Health & Nutrition Innovative International Research Center, Faculty of Health SciencesBen Gurion University of the NegevBeer ShevaIsrael
| | - Gal Tsaban
- The Health & Nutrition Innovative International Research Center, Faculty of Health SciencesBen Gurion University of the NegevBeer ShevaIsrael
- Soroka University Medical CenterBeer ShevaIsrael
| | - Anja Veronica Witte
- Department of Neurology, Max Planck‐Institute for Human Cognitive and Brain Sciences, and Cognitive NeurologyUniversity of Leipzig Medical CenterLeipzigGermany
| | | | | | - Ilan Shelef
- The Health & Nutrition Innovative International Research Center, Faculty of Health SciencesBen Gurion University of the NegevBeer ShevaIsrael
- Soroka University Medical CenterBeer ShevaIsrael
| | - Iris Shai
- The Health & Nutrition Innovative International Research Center, Faculty of Health SciencesBen Gurion University of the NegevBeer ShevaIsrael
- Department of Nutrition, Harvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Tammy Riklin Raviv
- The School of Electrical and Computer EngineeringBen Gurion University of the NegevBeer ShevaIsrael
| | - Galia Avidan
- Department of PsychologyBen‐Gurion University of the NegevBeer ShevaIsrael
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Peres LM, Luis-Silva F, Menegueti MG, Lovato WJ, Espirito Santo DAD, Donadel MD, Sato L, Malek-Zadeh CH, Basile-Filho A, Martins-Filho OA, Auxiliadora-Martins M. Comparison between ultrasonography and computed tomography for measuring skeletal muscle mass in critically ill patients with different body mass index. Clin Nutr ESPEN 2024; 59:214-224. [PMID: 38220379 DOI: 10.1016/j.clnesp.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 12/04/2023] [Accepted: 12/07/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND & AIM Among critical patients, there is an early onset of changes in both the quantity and quality of muscle mass. It is essential to find tools that promptly identify this muscle mass loss. The aim of this study was to compare the ultrasonography of the quadriceps femoris to the gold standard, thigh computed tomography (CT) for assessing the musculature of critically ill patients with different body mass index who have suffered traumatic brain injury. METHODS This is a prospective validation study in an Intensive Care Unit (ICU) specialized in trauma care, located at a tertiary teaching hospital. Our study involved a convenience sample of patients. Sequential ultrasound and CT scans were performed at three distinct time intervals: upon admission, between 24 and 96 h' post-admission, and finally, between 96 and 168 h' post-admission. For all ultrasound measurements, we conducted simultaneous quadriceps CT measurements. The correlation between measurements obtained by ultrasound and computed tomography at three different times and in three BMI ranges was analyzed, in individuals with normal weight, overweight and obese. RESULTS Results: We analyzed 252 images in 49 patients in time 1, 40 patients in time 2, and 37 in time 3 to compare the thickness quadriceps muscle using US and CT. Of these, 18 patients had a BMI ≤ 24.9 kg/m2 (normal weight), 18 patients from 25 to 29.9 kg/m2 (overweight), and 8 patients had a BMI ≥ 30 kg/m2 (obese). The mean age was 37 years, the majority (94%) were male and the main comorbidities were: hypertension 12%, diabetes 4% and 14% smoking. The results revealed minor discrepancies between measurements obtained through the two methods, these changes were not influenced by the body mass index, with these variations being practically insignificant in the context of clinical application. Thus, the correlation and concordance between the values obtained found a strong positive correlation with good limits of agreement. The Spearman's correlation coefficients obtained were r = 0.89, 0.91 and 0.88, p < 0.01 at T1, T2 and T3 respectively for normal weight, r = 0.91, 0.80 and 0.81, p < 0.01 at T1, T2 and T3 respectively for overweight and r = 0.89, 0.94 and 0.84, p < 0.01 at T1, T2 and T3 respectively for obesity. In addition to a positive correlation, we observed a high agreement between the methods. The Bland & Altman analysis at time 1 showed, respectively, the bias of 1.46, 2.03 and 0.76. At time 2, the bias was 0.42, 3.11 and 2.12. At time 3, the bias was 2.26, 3.38 and 2.11 mm. CONCLUSION Our findings suggest that measure femoral quadriceps muscle thickness ultrasound-based exhibits a comparable performance to thigh CT. This conclusion stems from the excellent correlation and good agreement observed between ultrasound and CT, which is considered the gold standard for muscle assessment in critically ill patients. TRIAL REGISTRATION This clinical trial is registered at REBEC https://ensaiosclinicos.gov.br/ identifier: RBR-2bzspnz. The protocol was approved, on July 30, 2019, by the Research Ethics Committee of the Hospital das Clínicas, Faculdade de Medicina de Ribeirão Preto - Trial Registration Number: 3,475,851.
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Affiliation(s)
- Leandro Moreira Peres
- Division of Intensive Care Medicine, Department of Surgery and Anatomy, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Fabio Luis-Silva
- Division of Intensive Care Medicine, Department of Surgery and Anatomy, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | | | - Wilson José Lovato
- Division of Intensive Care Medicine, Department of Surgery and Anatomy, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Douglas Alexandre do Espirito Santo
- Division of Intensive Care Medicine, Department of Surgery and Anatomy, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Mariana Derminio Donadel
- Division of Intensive Care Medicine, Department of Surgery and Anatomy, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Lucas Sato
- Division of Intensive Care Medicine, Department of Surgery and Anatomy, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Carolina Hunger Malek-Zadeh
- Division of Intensive Care Medicine, Department of Surgery and Anatomy, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Anibal Basile-Filho
- Division of Intensive Care Medicine, Department of Surgery and Anatomy, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | | | - Maria Auxiliadora-Martins
- Division of Intensive Care Medicine, Department of Surgery and Anatomy, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
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Song I, Thompson EW, Verma A, MacLean MT, Duda J, Elahi A, Tran R, Raghupathy P, Swago S, Hazim M, Bhattaru A, Schneider C, Vujkovic M, Torigian DA, Kahn CE, Gee JC, Borthakur A, Kripke CM, Carson CC, Carr R, Jehangir Q, Ko YA, Litt H, Rosen M, Mankoff DA, Schnall MD, Shou H, Chirinos J, Damrauer SM, Serper M, Chen J, Rader DJ, Witschey WRT, Sagreiya H. Clinical correlates of CT imaging-derived phenotypes among lean and overweight patients with hepatic steatosis. Sci Rep 2024; 14:53. [PMID: 38167550 PMCID: PMC10761858 DOI: 10.1038/s41598-023-49470-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 12/08/2023] [Indexed: 01/05/2024] Open
Abstract
The objective of this study is to define CT imaging derived phenotypes for patients with hepatic steatosis, a common metabolic liver condition, and determine its association with patient data from a medical biobank. There is a need to further characterize hepatic steatosis in lean patients, as its epidemiology may differ from that in overweight patients. A deep learning method determined the spleen-hepatic attenuation difference (SHAD) in Hounsfield Units (HU) on abdominal CT scans as a quantitative measure of hepatic steatosis. The patient cohort was stratified by BMI with a threshold of 25 kg/m2 and hepatic steatosis with threshold SHAD ≥ - 1 HU or liver mean attenuation ≤ 40 HU. Patient characteristics, diagnoses, and laboratory results representing metabolism and liver function were investigated. A phenome-wide association study (PheWAS) was performed for the statistical interaction between SHAD and the binary characteristic LEAN. The cohort contained 8914 patients-lean patients with (N = 278, 3.1%) and without (N = 1867, 20.9%) steatosis, and overweight patients with (N = 1863, 20.9%) and without (N = 4906, 55.0%) steatosis. Among all lean patients, those with steatosis had increased rates of cardiovascular disease (41.7 vs 27.8%), hypertension (86.7 vs 49.8%), and type 2 diabetes mellitus (29.1 vs 15.7%) (all p < 0.0001). Ten phenotypes were significant in the PheWAS, including chronic kidney disease, renal failure, and cardiovascular disease. Hepatic steatosis was found to be associated with cardiovascular, kidney, and metabolic conditions, separate from overweight BMI.
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Affiliation(s)
- Isabel Song
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Elizabeth W Thompson
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Anurag Verma
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Matthew T MacLean
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jeffrey Duda
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Ameena Elahi
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Richard Tran
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Pavan Raghupathy
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Sophia Swago
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Mohamad Hazim
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Abhijit Bhattaru
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Carolin Schneider
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marijana Vujkovic
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Drew A Torigian
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Charles E Kahn
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - James C Gee
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Arijitt Borthakur
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Colleen M Kripke
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher C Carson
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rotonya Carr
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Medicine, School of Medicine, University of Washington, Seattle, WA, USA
| | - Qasim Jehangir
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yi-An Ko
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Harold Litt
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Mark Rosen
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - David A Mankoff
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Mitchell D Schnall
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Haochang Shou
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Julio Chirinos
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Scott M Damrauer
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marina Serper
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jinbo Chen
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel J Rader
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Walter R T Witschey
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Hersh Sagreiya
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
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Lu W, Duan Y, Li K, Cheng Z, Qiu J. Metabolic interactions between organs in overweight and obesity using total-body positron emission tomography. Int J Obes (Lond) 2024; 48:94-102. [PMID: 37816863 DOI: 10.1038/s41366-023-01394-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/15/2023] [Accepted: 09/28/2023] [Indexed: 10/12/2023]
Abstract
BACKGROUND AND OBJECTIVES Overweight and obesity is a complex condition resulting from unbalanced energy homeostasis among various organs. However, systemic abnormalities in overweight and obese people are seldom explored in vivo by metabolic imaging techniques. The aim of this study was to determine metabolic abnormities throughout the body in overweight and obese adults using total-body positron emission tomography (PET) glucose uptake imaging. METHODS Thirty normal weight subjects [body mass index (BMI) < 25 kg/m2, 55.47 ± 13.94 years, 16 men and 14 women], and 26 overweight and obese subjects [BMI ≥ 25 kg/m2, 52.38 ± 9.52 years, 21 men and 5 women] received whole-body 18F-fluorodeoxyglucose PET imaging using the uEXPLORER. Whole-body standardized uptake value normalized by lean body mass (SUL) images were calculated. Metabolic networks were constructed based on the whole-body SUL images using covariance network approach. Both group-level and individual-level network differences between normal weight and overweight/obese subjects were evaluated. Correlation analysis was conducted between network properties and BMI for the overweight/obese subjects. RESULTS Compared with normal weight subjects, overweight/obese subjects exhibited altered network connectivity strength in four network nodes, namely the pancreas (p = 0.033), spleen (p = 0.021), visceral adipose tissue (VAT) (p = 1.12 × 10-5) and bone (p = 0.021). Network deviations of overweight/obese subjects from the normal weight were positively correlated with BMI (r = 0.718, p = 3.64 × 10-5). In addition, overweight/obese subjects experienced altered connections between organs, and some of the altered connections, including pancreas-right lung and VAT-bilateral lung connections were significantly correlated with BMI. CONCLUSION Overweight/obese individuals exhibit metabolic alterations in organ level, and altered metabolic interactions at the systemic level. The proposed approach using total-body PET imaging can reveal individual metabolic variability and metabolic deviations between organs, which would open up a new path for understanding metabolic alterations in overweight and obesity.
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Affiliation(s)
- Weizhao Lu
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271016, China
| | - Yanhua Duan
- Department of PET-CT, the First Affiliated Hospital of Shandong First Medical University, Shandong Provincial Qianfoshan Hospital Affiliated to Shandong University, Jinan, 250014, China
| | - Kun Li
- Department of PET-CT, the First Affiliated Hospital of Shandong First Medical University, Shandong Provincial Qianfoshan Hospital Affiliated to Shandong University, Jinan, 250014, China
| | - Zhaoping Cheng
- Department of PET-CT, the First Affiliated Hospital of Shandong First Medical University, Shandong Provincial Qianfoshan Hospital Affiliated to Shandong University, Jinan, 250014, China.
| | - Jianfeng Qiu
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271016, China.
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Wang R, Deng Y, Zhang W, Ning J, Li H, Feng J, Cheng W, Yu J. Associations between adiposity and white matter hyperintensities: Cross-sectional and longitudinal analyses of 34,653 participants. Hum Brain Mapp 2024; 45:e26560. [PMID: 38224536 PMCID: PMC10789203 DOI: 10.1002/hbm.26560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 11/15/2023] [Accepted: 11/28/2023] [Indexed: 01/17/2024] Open
Abstract
OBJECTIVES White matter hyperintensities (WMH) increase the risk of stroke and cognitive impairment. This study aims to determine the cross-sectional and longitudinal associations between adiposity and WMH. METHODS Participants were enrolled from the UK Biobank cohort. Associations of concurrent, past, and changes in overall and central adiposity with WMH were investigated by linear and nonlinear regression models. The association of longitudinal adiposity and WMH volume changes was determined by a linear mixed model. Mediation analysis investigated the potential mediating effect of blood pressure. RESULTS In 34,653 participants with available adiposity measures and imaging data, the concurrent obese group had a 25.3% (β [95% CI] = 0.253 [0.222-0.284]) higher WMH volume than the ideal weight group. Increment in all adiposity measures was associated with a higher WMH volume. Among them, waist circumference demonstrated the strongest effect (β [95% CI] = 0.113 [0.101-0.125]). Past adiposity also demonstrated similar effects. Among the subset of 2664 participants with available WMH follow-up data, adiposity measures were predictive of WMH change. Regarding changes of adiposity, compared with ideal weight stable group, those who turned from ideal weight to overweight/obese had a 8.1% higher WMH volume (β [95% CI] = 0.081 [0.039-0.123]), while participants who turned from overweight/obese to ideal weight demonstrated no significant WMH volume change. Blood pressure partly meditates the associations between adiposity and WMH. CONCLUSIONS Both concurrent and past adiposity were associated with a higher WMH volume. The detrimental effects of adiposity on WMH occurred throughout midlife and in the elderly and may still exist after changes in obesity status.
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Affiliation(s)
- Rong‐Ze Wang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontier Center for Brain Science, Shanghai Medical CollegeFudan UniversityShanghaiChina
| | - Yue‐Ting Deng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontier Center for Brain Science, Shanghai Medical CollegeFudan UniversityShanghaiChina
| | - Wei Zhang
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghaiChina
- Key Laboratory of Computational Neuroscience and Brain Inspired IntelligenceFudan University, Ministry of EducationShanghaiChina
| | - Jing Ning
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontier Center for Brain Science, Shanghai Medical CollegeFudan UniversityShanghaiChina
| | - Hong‐Qi Li
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontier Center for Brain Science, Shanghai Medical CollegeFudan UniversityShanghaiChina
| | - Jian‐Feng Feng
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghaiChina
- Key Laboratory of Computational Neuroscience and Brain Inspired IntelligenceFudan University, Ministry of EducationShanghaiChina
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontier Center for Brain Science, Shanghai Medical CollegeFudan UniversityShanghaiChina
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghaiChina
- Key Laboratory of Computational Neuroscience and Brain Inspired IntelligenceFudan University, Ministry of EducationShanghaiChina
| | - Jin‐Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontier Center for Brain Science, Shanghai Medical CollegeFudan UniversityShanghaiChina
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Hagen F, Estler A, Hofmann J, Walder L, Faby S, Almarie B, Nikolaou K, Wrazidlo R, Horger M. Reduced versus standard dose contrast volume for contrast-enhanced abdominal CT in overweight and obese patients using photon counting detector technology vs. second-generation dual-source energy integrating detector CT. Eur J Radiol 2023; 169:111153. [PMID: 38250749 DOI: 10.1016/j.ejrad.2023.111153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/11/2023] [Accepted: 10/16/2023] [Indexed: 01/23/2024]
Abstract
PURPOSE To compare image quality of contrast-enhanced abdominal-CT using 1st-generation Dual Source Photon-Counting Detector CT (DS-PCD-CT) versus 2nd-generation Dual-Source Energy Integrating-Detector CT (DS-EID-CT) in patients with BMI ≥ 25, applying two different contrast agent volumes, vendor proposed protocols and different virtual monoenergetic images (VMI). METHOD 68 overweight (BMI ≥ 25 kgm2) patients (median age: 65 years; median BMI 33.3 kgm2) who underwent clinically indicated, portal-venous contrast-enhanced abdominal-CT on a commercially available 1st-generation DS-PCD-CT were prospectively included if they already have had a pre-exam on 2nd-generation DS-EID-CT using a standardized exam protocol. Obesity were defined by BMI-calculation (overweight: 25-29.9, obesity grade I: 30-34.9; obesity grade II: 35-39.9; obesity grade III: > 40) and by the absolute weight value. Body weight adapted contrast volume (targeted volume of 1.2 mL/kg for the 1st study and 0.8 mL/kg for the 2nd study) was applied in both groups. Dual Energy mode was used for both the DS-PCD-CT and the DS-EID-CT. Polychromatic images and VMI (40 keV and 70 keV) were reconstructed for both the DS-EID-CT and the DS-PCD-CT data (termed T3D). Two radiologists assessed subjective image quality using a 5-point Likert-scale. Each reader drew ROIs within parenchymatous organs and vascular structures to analyze image noise, contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR). RESULTS Median time interval between scans was 12 months (Min: 6 months; Max: 36 months). BMI classification included overweight (n = 10, 14.7 %), obesity grade I (n = 38, 55.9 %), grade II (n = 13, 19.1 %) and grade III (n = 7, 10.3 %). The SNR achieved with DS-PCD-CT at QIR level 3was 12.61 vs. 11.47 (QIR 2) vs. 10.53 (DS-EID-CT), irrespective of parenchymatous organs. For vessels, the SNR were 16.73 vs. 14.20 (QIR 2) vs. 12.07 (DS-EID-CT). Moreover, the obtained median noise at QIR level 3 was as low as that of the DS-EID-CT (8.65 vs. 8.65). Both radiologists rated the image quality higher for DS-PCD-CT data sets (p < 0.05). The highest CNR was achieved at 40 keV for both scanners. T3D demonstrated significantly higher SNR and lower noise level compared to 40 keV and 70 keV. Median CTDIvol and DLP values for DS-PCD-CT and DS-EID-CT were 10.90 mGy (IQR: 9.31 - 12.50 mGy) vs. 16.55 mGy (IQR: 15.45 - 18.17 mGy) and 589.50 mGy * cm (IQR: 498.50 - 708.25 mGy * cm) vs. 848.75 mGy * cm (IQR: 753.43 - 969.58 mGy * cm) (p < 0.001). CONCLUSION Image quality can be maintained while significantly reducing the contrast volume and the radiation dose (27% and 34% lower DLP and 31% lower CDTIvol) for abdominal contrast-enhanced CT using a 1st-generation DS-PCD-CT. Moreover, polychromatic reconstruction T3D on a DS-PCD-CT enables sufficient diagnostic image quality for oncological imaging.
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Affiliation(s)
- Florian Hagen
- Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
| | - Arne Estler
- Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
| | - Johannes Hofmann
- Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
| | - Lukas Walder
- Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
| | | | - Bassel Almarie
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
| | - Robin Wrazidlo
- Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany
| | - Marius Horger
- Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany.
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8
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Binnewies J, Nawijn L, Brandmaier AM, Baaré WFC, Boraxbekk CJ, Demnitz N, Drevon CA, Fjell AM, Lindenberger U, Madsen KS, Nyberg L, Topiwala A, Walhovd KB, Ebmeier KP, Penninx BWJH. Lifestyle-related risk factors and their cumulative associations with hippocampal and total grey matter volume across the adult lifespan: A pooled analysis in the European Lifebrain consortium. Brain Res Bull 2023; 200:110692. [PMID: 37336327 DOI: 10.1016/j.brainresbull.2023.110692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 06/16/2023] [Indexed: 06/21/2023]
Abstract
BACKGROUND Lifestyle-related risk factors, such as obesity, physical inactivity, short sleep, smoking and alcohol use, have been associated with low hippocampal and total grey matter volumes (GMV). However, these risk factors have mostly been assessed as separate factors, leaving it unknown if variance explained by these factors is overlapping or additive. We investigated associations of five lifestyle-related factors separately and cumulatively with hippocampal and total GMV, pooled across eight European cohorts. METHODS We included 3838 participants aged 18-90 years from eight cohorts of the European Lifebrain consortium. Using individual person data, we performed cross-sectional meta-analyses on associations of presence of lifestyle-related risk factors separately (overweight/obesity, physical inactivity, short sleep, smoking, high alcohol use) as well as a cumulative unhealthy lifestyle score (counting the number of present lifestyle-related risk factors) with FreeSurfer-derived hippocampal volume and total GMV. Lifestyle-related risk factors were defined according to public health guidelines. RESULTS High alcohol use was associated with lower hippocampal volume (r = -0.10, p = 0.021), and overweight/obesity with lower total GMV (r = -0.09, p = 0.001). Other lifestyle-related risk factors were not significantly associated with hippocampal volume or GMV. The cumulative unhealthy lifestyle score was negatively associated with total GMV (r = -0.08, p = 0.001), but not hippocampal volume (r = -0.01, p = 0.625). CONCLUSIONS This large pooled study confirmed the negative association of some lifestyle-related risk factors with hippocampal volume and GMV, although with small effect sizes. Lifestyle factors should not be seen in isolation as there is evidence that having multiple unhealthy lifestyle factors is associated with a linear reduction in overall brain volume.
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Affiliation(s)
- Julia Binnewies
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands.
| | - Laura Nawijn
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany; Department of Psychology, MSB Medical School Berlin, Berlin, Germany
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Carl-Johan Boraxbekk
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark; Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden; Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark; Institute of Sports Medicine Copenhagen (ISMC) and Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Naiara Demnitz
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Christian A Drevon
- Vitas Ltd. Oslo Science Park & Department of Nutrition, IMB, University of Oslo, Norway
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway; Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Anya Topiwala
- Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, United Kingdom
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway; Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, United Kingdom
| | - Brenda W J H Penninx
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands
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9
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Richter M, Widera S, Malz F, Goltermann J, Steinmann L, Kraus A, Enneking V, Meinert S, Repple J, Redlich R, Leehr EJ, Grotegerd D, Dohm K, Kugel H, Bauer J, Arolt V, Dannlowski U, Opel N. Higher body weight-dependent neural activation during reward processing. Brain Imaging Behav 2023; 17:414-424. [PMID: 37012575 PMCID: PMC10435630 DOI: 10.1007/s11682-023-00769-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/21/2023] [Indexed: 04/05/2023]
Abstract
Obesity is associated with alterations in brain structure and function, particularly in areas related to reward processing. Although brain structural investigations have demonstrated a continuous association between higher body weight and reduced gray matter in well-powered samples, functional neuroimaging studies have typically only contrasted individuals from the normal weight and obese body mass index (BMI) ranges with modest sample sizes. It remains unclear, whether the commonly found hyperresponsiveness of the reward circuit can (a) be replicated in well-powered studies and (b) be found as a function of higher body weight even below the threshold of clinical obesity. 383 adults across the weight spectrum underwent functional magnetic resonance imaging during a common card-guessing paradigm simulating monetary reward. Multiple regression was used to investigate the association of BMI and neural activation in the reward circuit. In addition, a one-way ANOVA model comparing three weight groups (normal weight, overweight, obese) was calculated. Higher BMI was associated with higher reward response in the bilateral insula. This association could no longer be found when participants with obesity were excluded from the analysis. The ANOVA revealed higher activation in obese vs. lean, but no difference between lean and overweight participants. The overactivation of reward-related brain areas in obesity is a consistent finding that can be replicated in large samples. In contrast to brain structural aberrations associated with higher body weight, the neurofunctional underpinnings of reward processing in the insula appear to be more pronounced in the higher body weight range.
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Affiliation(s)
- Maike Richter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Jena University Hospital/Friedrich-Schiller-University Jena, Jena, Germany
| | - Sophia Widera
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Franziska Malz
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Janik Goltermann
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Lavinia Steinmann
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Anna Kraus
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Verena Enneking
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Jonathan Repple
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department for Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Ronny Redlich
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department of Psychology, Martin-Luther University of Halle, Halle, Germany
- German Center for Mental Health (DZPG), Jena-Magdeburg-Halle, Germany
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany
| | - Elisabeth J Leehr
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Dohm
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Harald Kugel
- University Clinic for Radiology, University of Münster, Münster, Germany
| | - Jochen Bauer
- University Clinic for Radiology, University of Münster, Münster, Germany
| | - Volker Arolt
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany.
- Department of Psychiatry, Jena University Hospital/Friedrich-Schiller-University Jena, Jena, Germany.
- German Center for Mental Health (DZPG), Jena-Magdeburg-Halle, Germany.
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany.
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10
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Ferdosian S, Orellana I, Nager G, Gruber J, Wong L, Zhang JY, Moneta GL, Nguyen KP. Patients with body mass index ≥25 kg/m 2 as a target population for improvement of rate of follow-up duplex venous ultrasound examinations following initial incomplete examinations. J Vasc Surg Venous Lymphat Disord 2023; 11:774-782.e1. [PMID: 37028512 DOI: 10.1016/j.jvsv.2023.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/08/2023] [Accepted: 03/11/2023] [Indexed: 04/09/2023]
Abstract
OBJECTIVE Obesity is highly prevalent and a major risk factor for deep vein thrombosis (DVT) and chronic venous disease. It can also technically limit duplex ultrasound evaluations for lower extremity DVT. We compared the rates and results of repeat lower extremity venous duplex ultrasound (LEVDUS) after an initial incomplete and negative (IIN) LEVDUS in overweight (body mass index [BMI] ≤25-30 kg/m2) and obese (BMI ≥30 kg/m2) patients with those of patients with a BMI <25 kg/m2 to evaluate whether increasing the rate of follow-up examinations in overweight and obese patients might facilitate improved patient care. METHODS We performed a retrospective review of 617 patients with an IIN LEVDUS study from December 31, 2017 to December 31, 2020. Demographic and imaging data of the patients with an IIN LEVDUS and the frequency of repeat studies performed within 2 weeks were abstracted from the electronic medical records. The patients were divided into three BMI-based groups: normal (BMI <25 kg/m2), overweight (BMI 25-30 kg/m2), and obese (BMI ≥30 kg/m2). RESULTS Of the 617 patients with an IIN LEVDUS, 213 (34.5%) were normal weight, 177 (29%) were overweight, and 227 (37%) were obese. The repeat LEVDUS rates were significantly different across the three weight groups (P < .001). After an IIN LEVDUS, the rate of repeat LEVDUS for the normal weight, overweight, and obese groups was 46% (98 of 213), 28% (50 of 227), and 32% (73 of 227), respectively. The overall rates of thrombosis (both DVT and superficial vein thrombosis) in the repeat LEVDUS examinations were not significantly different among the normal weight (14%), overweight (11%), and obese (18%) patients (P = .431). CONCLUSIONS Overweight and obese patients (BMI ≥25 kg/m2) received fewer follow-up examinations after an IIN LEVDUS. Follow-up LEVDUS examinations of overweight and obese patients after an IIN LEVDUS study have similar rates of venous thrombosis compared with normal weight patients. Targeting improving usage of follow-up LEVDUS studies for all patients, but especially for those who are overweight and obese, with an IIN LEVDUS through quality improvement efforts could help minimize missed diagnoses of venous thrombosis and improve the quality of patient care.
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Affiliation(s)
- Shirin Ferdosian
- Division of Vascular Surgery, Department of Surgery and Knight Cardiovascular Institute, School of Medicine, Oregon Health & Science University, Portland, OR
| | - Isabella Orellana
- Division of Vascular Surgery, Department of Surgery and Knight Cardiovascular Institute, School of Medicine, Oregon Health & Science University, Portland, OR
| | - Gabriel Nager
- Division of Vascular Surgery, Department of Surgery and Knight Cardiovascular Institute, School of Medicine, Oregon Health & Science University, Portland, OR
| | - Joshua Gruber
- Research & Development and Operative Care Division, Veterans Affairs Portland Health Care System, Portland, OR
| | - Leon Wong
- Division of Vascular Surgery, Department of Surgery and Knight Cardiovascular Institute, School of Medicine, Oregon Health & Science University, Portland, OR
| | - Jie Y Zhang
- Division of Vascular Surgery, Department of Surgery and Knight Cardiovascular Institute, School of Medicine, Oregon Health & Science University, Portland, OR
| | - Gregory L Moneta
- Division of Vascular Surgery, Department of Surgery and Knight Cardiovascular Institute, School of Medicine, Oregon Health & Science University, Portland, OR
| | - Khanh P Nguyen
- Division of Vascular Surgery, Department of Surgery and Knight Cardiovascular Institute, School of Medicine, Oregon Health & Science University, Portland, OR; Research & Development and Operative Care Division, Veterans Affairs Portland Health Care System, Portland, OR.
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11
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Sezgin O, Akpınar H, Özer B, Törüner M, Bal K, Bor S. The Abdominal Ultrasonography Results of Cappadocia Cohort Study of Turkey Reveals High Prevalence of Fatty Liver. Turk J Gastroenterol 2023; 34:652-664. [PMID: 37303246 PMCID: PMC10441153 DOI: 10.5152/tjg.2023.23067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 04/26/2023] [Indexed: 06/13/2023]
Abstract
BACKGROUND There is limited data about the prevalence of frequent gastrointestinal diseases in developing parts of the world based on community-based screening studies. Therefore, we aimed to present the detailed transabdominal ultrasonography results of the previously completed Turkey Cappadocia cohort study, which included a population-based evaluation of gastrointestinal symptoms and diseases in adults. METHODS This cross-sectional study was conducted in Cappadocia cohort. The transabdominal ultrasonography, anthropometric measurements, and disease questionnaires were applied to cohort persons. RESULTS Transabdominal ultrasonography was performed in 2797 subjects (62.3% were female and the mean age was 51 ± 15 years). Among them, 36% were overweight, 42% were obese, and 14% had diabetes mellitus. The most common pathological finding in transabdominal ultrasonography was hepatic steatosis (60.1%). The severity of hepatic steatosis was mild in 53.3%, moderate in 38.8%, and severe in 7.9%. Age, body mass index, liver size, portal vein, splenic vein diameter, hypertension, diabetes mellitus, and hyperlipidemia were significantly higher while physical activities were significantly lower in hepatic steatosis group. Ultrasonographic grade of hepatic steatosis was positively correlated with liver size, portal vein and splenic vein diameter, frequency of diabetes mellitus, hypertension, and coronary artery disease. Hepatic steatosis was observed in none of the underweight, 11.4% of the normal weights, 53.3% of the overweight, and 86.7% of the obese subjects. The percentage of hepatic steatosis cases with normal weight (lean nonalcoholic fatty liver disease) was 3.5%. The rate of lean nonalcoholic fatty liver disease in the entire cohort was 2.1%. Regression analysis revealed male gender (hazard ratio [HR]: 3.2), hypertension (HR: 1.5), and body mass index (body mass index: 25-30 HR: 9.3, body mass index >30 HR: 75.2) as independent risk factors for hepatic steatosis. The second most common ultrasonographic finding was gallbladder stone (7.6%). In the regression analysis, female gender (HR: 1.4), body mass index (body mass index: 25-30 HR: 2.1, body mass index >30 HR: 2.9), aging (30-39 age range HR: 1.5, >70 years HR: 5.8), and hypertension (HR: 1.4) were the most important risk factors for gallbladder stone. CONCLUSIONS Cappadocia cohort study in Turkey revealed a high prevalence of hepatic steatosis (60.1%) while the prevalence of gallbladder stones was 7.6% among the participants. The results of the Cappadocia cohort located in central Anatolia, where overweight and lack of physical activity are characteristic, showed that Turkey is one of the leading countries in the world for nonalcoholic fatty liver disease.
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Affiliation(s)
- Orhan Sezgin
- Department of Gastroenterology, Mersin University Medical Faculty, Mersin, Turkey
| | - Hale Akpınar
- Department of Gastroenterology, Dokuz Eylül University, İzmir, Turkey
| | - Birol Özer
- Department of Gastroenterology, Başkent University, Adana, Turkey
| | - Murat Törüner
- Department of Gastroenterology, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Kadir Bal
- Department of Gastroenterology, İstanbul University-Cerrahpaşa, İstanbul, Turkey
| | - Serhat Bor
- Department of Gastroenterology, Ege University Faculty of Medicine, İzmir, Turkey
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12
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Dolenc L, Petrinjak B, Mekiš N, Škrk D. The impact of body mass index on patient radiation dose in general radiography. J Radiol Prot 2022; 42:041505. [PMID: 36319605 DOI: 10.1088/1361-6498/ac9f1f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
The aim of the present study was to determine the influence of the body mass index (BMI) on the dose area product (DAP) and effective dose (ED) in overweight and obese patients. We also wanted to determine the typical dose values as well as suggest adjustments to clinical practice for overweight and obese patients. In this study we considered 597 patients referred for imaging of the chest in posteroanterior and lateral projection, the lumbar spine in anteroposterior (AP) and lateral projection, the pelvis, the knee in AP and lateral projection, and the shoulder in AP projection. For each examination, the image field size, tube voltage, mAs product, source-to-image receptor distance and values of DAP were collected. Based on their BMI, the patients were divided into three groups (normal weight, overweight and obese). At the end, PCXMC 2.0 software was used to calculate the ED. The study showed a statistically significant DAP and ED increase in overweight and obese patients by 28.9% up to 275.4% in the case of DAP and an increase in ED from 11.0% to 241.9% in all mentioned examinations except knee and shoulder imaging. Typical DAP values ranged from 2.2 to 54.8µGym2for normal-weight patients, from 2.2 to 87.6µGym2for overweight patients, and from 2.2 to 172.5µGym2for obese patients. Spearman's correlation coefficient revealed very weak to very strong correlations when comparing BMI and DAP, as well as when comparing BMI and ED. A strong and very strong correlation was found in the case of examinations of the torso (except for the comparison of BMI and ED in the case of lateral lumbar spine projection).
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Affiliation(s)
- Laura Dolenc
- Faculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia
| | - Barbara Petrinjak
- Radiology Department, Community health center Ljubljana, Ljubljana, Slovenia
| | - Nejc Mekiš
- Faculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia
| | - Damijan Škrk
- Faculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia
- Slovenian Radiation Protection Administration, Ljubljana, Slovenia
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13
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Rahmani F, Wang Q, McKay NS, Keefe S, Hantler N, Hornbeck R, Wang Y, Hassenstab J, Schindler S, Xiong C, Morris JC, Benzinger TL, Raji CA. Sex-Specific Patterns of Body Mass Index Relationship with White Matter Connectivity. J Alzheimers Dis 2022; 86:1831-1848. [PMID: 35180116 PMCID: PMC9108572 DOI: 10.3233/jad-215329] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Obesity is an increasingly recognized modifiable risk factor for Alzheimer's disease (AD). Increased body mass index (BMI) is related to distinct changes in white matter (WM) fiber density and connectivity. OBJECTIVE We investigated whether sex differentially affects the relationship between BMI and WM structural connectivity. METHODS A cross-sectional sample of 231 cognitively normal participants were enrolled from the Knight Alzheimer Disease Research Center. Connectome analyses were done with diffusion data reconstructed using q-space diffeomorphic reconstruction to obtain the spin distribution function and tracts were selected using a deterministic fiber tracking algorithm. RESULTS We identified an inverse relationship between higher BMI and lower connectivity in the associational fibers of the temporal lobe in overweight and obese men. Normal to overweight women showed a significant positive association between BMI and connectivity in a wide array of WM fibers, an association that reversed in obese and morbidly obese women. Interaction analyses revealed that with increasing BMI, women showed higher WM connectivity in the bilateral frontoparietal and parahippocampal parts of the cingulum, while men showed lower connectivity in right sided corticostriatal and corticopontine tracts. Subgroup analyses demonstrated comparable results in participants with and without positron emission tomography or cerebrospinal fluid evidence of brain amyloidosis, indicating that the relationship between BMI and structural connectivity in men and women is independent of AD biomarker status. CONCLUSION BMI influences structural connectivity of WM differently in men and women across BMI categories and this relationship does not vary as a function of preclinical AD.
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Affiliation(s)
- Farzaneh Rahmani
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Qing Wang
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Nicole S. McKay
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Sarah Keefe
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Nancy Hantler
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Russ Hornbeck
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Yong Wang
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Jason Hassenstab
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Suzanne Schindler
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Chengjie Xiong
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - John C. Morris
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC), Washington University, St. Louis, MO, USA
| | - Tammie L.S. Benzinger
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC), Washington University, St. Louis, MO, USA
| | - Cyrus A. Raji
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
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Agbaje AO, Barker AR, Tuomainen TP. Effects of Arterial Stiffness and Carotid Intima-Media Thickness Progression on the Risk of Overweight/Obesity and Elevated Blood Pressure/Hypertension: a Cross-Lagged Cohort Study. Hypertension 2022; 79:159-169. [PMID: 34784721 PMCID: PMC8654123 DOI: 10.1161/hypertensionaha.121.18449] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 10/28/2021] [Indexed: 12/19/2022]
Abstract
We examined the temporal longitudinal associations of carotid-femoral pulse wave velocity (cfPWV), a measure of arterial stiffness, and carotid intima-media thickness (cIMT) with the risk of overweight/obesity and elevated blood pressure (BP)/hypertension. We studied 3862 adolescents aged 17.7 years from the Avon Longitudinal Study of Parents and Children, followed-up for 7 years. cfPWV and cIMT were measured by ultrasound. Total and trunk fat mass and lean mass were assessed by dual-energy X-ray absorptiometry. Body mass index and BP were measured. Data were analyzed using logistic regression, linear mixed-effect, and cross-lagged structural equation models, with covariate adjustments. Among 1719 male and 2143 female participants, higher cfPWV at 17.7 years was associated with the risk of elevated systolic BP/hypertension (odds ratio, 1.20 [1.02-1.41]; P=0.026), elevated diastolic BP/hypertension (1.77 [1.32-2.38]; P<0.0001), body mass index-overweight/obesity (1.19 [1.01-1.41]; P=0.041), and trunk fat mass overweight/obesity (1.24 [1.03-1.49]; P=0.023) at 24.5 years. Higher cIMT at 17.7 years had no associations with obesity and elevated BP at follow-up. cfPWV progression was directly associated with 7-year increase in systolic BP (effect estimate 16 mm Hg [9-24]; P<0.0001) and diastolic BP (28 mm Hg [23-34]; P<0.0001). cIMT progression was directly associated with the 7-year increase of all adiposity measures and diastolic BP. In the temporal analysis, baseline cfPWV was directly associated with follow-up systolic and diastolic BP, however, baseline BP was unassociated with follow-up cfPWV. cfPWV but not cIMT was bidirectionally associated with adiposity. Obesity and hypertension prevention from adolescence may require developing novel approaches to mitigate arterial stiffness.
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Affiliation(s)
- Andrew O. Agbaje
- Institute of Public Health and Clinical Nutrition, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland (A.O.A., T.-P.T.)
| | - Alan R. Barker
- Children’s Health and Exercise Research Centre, Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, United Kingdom (A.R.B.)
| | - Tomi-Pekka Tuomainen
- Institute of Public Health and Clinical Nutrition, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland (A.O.A., T.-P.T.)
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15
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Liu ZC, Zhao S, Ma ZP, Zhang TL, Zhao YX. Comparing feasibility of different tube voltages and different concentrations of contrast medium in coronary CT angiography of overweight patients. J Xray Sci Technol 2022; 30:1261-1272. [PMID: 36214032 DOI: 10.3233/xst-221263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
OBJECTIVES To compare image quality, radiation dose, and iodine intake of coronary computed tomography angiography (CCTA) acquired by wide-detector using different tube voltages and different concentrations of contrast medium (CM) for overweight patients. MATERIALS AND METHODS A total of 150 overweight patients (body mass index≥25 kg/m2) who underwent CCTA are enrolled and divided into three groups according to scan protocols namely, group A (120 kVp, 370 mgI/ml CM); group B (100 kVp, 350 mgI/ml CM); and group C (80 kVp, 320 mgI/ml CM). The CT values, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and figure-of-merit (FOM) of all images are calculated. Images are subjectively assessed using a 5-point scale. In addition, the CT dose index volume (CTDIvol) and dose length product (DLP) of each patient are recorded. The effective radiation dose (ED) is also calculated. Above data are then statistically analyzed. RESULTS The mean CT values, SNR, CNR, and subjective image quality of group A are significantly lower than those of groups B and C (P < 0.001), but there is no significant difference between groups B and C (P > 0.05). FOMs show a significantly increase trend from group A to C (P < 0.001). The ED values and total iodine intake in groups B and C are 30.34% and 68.53% and 10.22% and 16.85% lower than those in group A, respectively (P < 0.001). CONCLUSION The lower tube voltage and lower concentration of CM based on wide-detector allows for significant reduction in iodine load and radiation dose in CCTA for overweight patients comparing to routine scan protocols. It also enhances signal intensity of CCTA and maintains image quality.
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Affiliation(s)
- Zhi-Chao Liu
- Department of Radiology, The Affiliated Hospital of Hebei University, Baoding City, China
| | - Sai Zhao
- Department of Radiology, The Affiliated Hospital of Hebei University, Baoding City, China
| | - Ze-Peng Ma
- Department of Radiology, The Affiliated Hospital of Hebei University, Baoding City, China
| | - Tian-Le Zhang
- Department of Radiology, The Affiliated Hospital of Hebei University, Baoding City, China
| | - Yong-Xia Zhao
- Department of Radiology, The Affiliated Hospital of Hebei University, Baoding City, China
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16
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Martins JG, Kawakita T, Gurganus M, Baraki D, Jain P, Papageorghiou AT, Abuhamad AZ. Influence of maternal body mass index on interobserver variability of fetal ultrasound biometry and amniotic-fluid assessment in late pregnancy. Ultrasound Obstet Gynecol 2021; 58:892-899. [PMID: 33836119 DOI: 10.1002/uog.23646] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 03/12/2021] [Accepted: 03/17/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVE To determine the interobserver reproducibility of fetal ultrasound biometric and amniotic-fluid measurements in the third trimester of pregnancy, according to maternal body mass index (BMI) category. METHODS This was a prospective cohort study of women with a singleton gestation beyond 34 weeks, recruited into four groups according to BMI category: normal (18.0-24.9 kg/m2 ), overweight (25.0-29.9 kg/m2) , obese (30.0-39.9 kg/m2 ) and morbidly obese (≥ 40 kg/m2 ). Multiple pregnancies, women with diabetes and pregnancies with a fetal growth, structural or genetic abnormality were excluded. In each woman, fetal biometric (biparietal diameter (BPD), head circumference, abdominal circumference (AC), femur length (FL) and estimated fetal weight) and amniotic-fluid (amniotic-fluid index (AFI) and maximum vertical pocket (MVP)) measurements were obtained by two experienced sonographers or physicians, blinded to gestational age and each other's measurements. Differences in measurements between observers were expressed as gestational age-specific Z-scores. The interobserver intraclass correlation coefficient (ICC) and Cronbach's reliability coefficient (CRC) were calculated. Bland-Altman analysis was used to assess the degree of reproducibility. RESULTS In total, 110 women were enrolled prospectively (including 1320 measurements obtained by 17 sonographers or physicians). Twenty (18.2%) women had normal BMI, 30 (27.3%) women were overweight, 30 (27.3%) women were obese and 30 (27.3%) women were morbidly obese. Except for AFI (ICC, 0.65; CRC, 0.78) and MVP (ICC, 0.49; CRC, 0.66), all parameters had a very high level of interobserver reproducibility (ICC, 0.72-0.87; CRC, 0.84-0.93). When assessing reproducibility according to BMI category, BPD measurements had a very high level of reproducibility (ICC ≥ 0.85; CRC > 0.90) in all groups. The reproducibility of AC and FL measurements increased with increasing BMI, while the reproducibility of MVP measurements decreased. Among the biometric parameters, the difference between the BMI categories in measurement-difference Z-score was significant only for FL. Interobserver differences for biometric measurements fell within the 95% limits of agreement. CONCLUSION Obesity does not seem to impact negatively on the reproducibility of ultrasound measurements of fetal biometric parameters when undertaken by experienced sonographers or physicians who commonly assess overweight, obese and morbidly obese women. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- J G Martins
- Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA, USA
| | - T Kawakita
- Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA, USA
| | - M Gurganus
- Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA, USA
| | - D Baraki
- Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA, USA
| | - P Jain
- Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA, USA
| | - A T Papageorghiou
- St George's, University of London, London, UK
- Maternal Fetal Medicine, Department of Obstetrics and Gynaecology, University of Oxford, Oxford, UK
| | - A Z Abuhamad
- Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA, USA
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17
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Lund A, Ebbing C, Rasmussen S, Qvigstad E, Kiserud T, Kessler J. Pre-gestational diabetes: Maternal body mass index and gestational weight gain are associated with augmented umbilical venous flow, fetal liver perfusion, and thus birthweight. PLoS One 2021; 16:e0256171. [PMID: 34398922 PMCID: PMC8367003 DOI: 10.1371/journal.pone.0256171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/30/2021] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES To assess how maternal body mass index and gestational weight gain are related to on fetal venous liver flow and birthweight in pregnancies with pre-gestational diabetes mellitus. METHODS In a longitudinal observational study, 49 women with pre-gestational diabetes mellitus were included for monthly assessments (gestational weeks 24-36). According to the Institute Of Medicine criteria, body mass index was categorized to underweight, normal, overweight, and obese, while gestational weight gain was classified as insufficient, appropriate or excessive. Fetal size, portal flow, umbilical venous flow and distribution to the fetal liver or ductus venosus were determined using ultrasound techniques. The impact of fetal venous liver perfusion on birthweight and how body mass index and gestational weight gain modified this effect, was compared with a reference population (n = 160). RESULTS The positive association between umbilical flow to liver and birthweight was more pronounced in pregnancies with pre-gestational diabetes mellitus than in the reference population. Overweight and excessive gestational weight gain were associated with higher birthweights in women with pre-gestational diabetes mellitus, but not in the reference population. Fetuses of overweight women with pre-gestational diabetes mellitus had higher umbilical (p = 0.02) and total venous liver flows (p = 0.02), and a lower portal flow fraction (p = 0.04) than in the reference population. In pre-gestational diabetes mellitus pregnancies with excessive gestational weight gain, the umbilical flow to liver was higher than in those with appropriate weight gain (p = 0.02). CONCLUSIONS The results support the hypothesis that umbilical flow to the fetal liver is a key determinant for fetal growth and birthweight modifiable by maternal factors. Maternal pre-gestational diabetes mellitus seems to augment this influence as shown with body mass index and gestational weight gain.
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Affiliation(s)
- Agnethe Lund
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, Research Group for Pregnancy, Fetal Development and Birth, University of Bergen, Bergen, Norway
| | - Cathrine Ebbing
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, Research Group for Pregnancy, Fetal Development and Birth, University of Bergen, Bergen, Norway
- * E-mail:
| | - Svein Rasmussen
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, Research Group for Pregnancy, Fetal Development and Birth, University of Bergen, Bergen, Norway
| | - Elisabeth Qvigstad
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Torvid Kiserud
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, Research Group for Pregnancy, Fetal Development and Birth, University of Bergen, Bergen, Norway
| | - Jörg Kessler
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, Research Group for Pregnancy, Fetal Development and Birth, University of Bergen, Bergen, Norway
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18
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Joo I, Kwak MS, Park DH, Yoon SH. Fully automated waist circumference measurement on abdominal CT: Comparison with manual measurements and potential value for identifying overweight and obesity as an adjunct output of CT scan. PLoS One 2021; 16:e0254704. [PMID: 34280224 PMCID: PMC8289071 DOI: 10.1371/journal.pone.0254704] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 07/02/2021] [Indexed: 12/29/2022] Open
Abstract
Objective Waist circumference (WC) is a widely accepted anthropometric parameter of central obesity. We investigated a fully automated body segmentation algorithm for measuring WC on abdominal computed tomography (CT) in comparison to manual WC measurements (WC-manual) and evaluated the performance of CT-measured WC for identifying overweight/obesity. Materials and methods This retrospective study included consecutive adults who underwent both abdominal CT scans and manual WC measurements at a health check-up between January 2013 and November 2019. Mid-waist WCs were automatically measured on noncontrast axial CT images using a deep learning-based body segmentation algorithm. The associations between CT-measured WC and WC-manual was assessed by Pearson correlation analysis and their agreement was assessed through Bland-Altman analysis. The performance of these WC measurements for identifying overweight/obesity (i.e., body mass index [BMI] ≥25 kg/m2) was evaluated using receiver operating characteristics (ROC) curve analysis. Results Among 763 subjects whose abdominal CT scans were analyzed using a fully automated body segmentation algorithm, CT-measured WCs were successfully obtained in 757 adults (326 women; mean age, 54.3 years; 64 women and 182 men with overweight/obesity). CT-measured WC was strongly correlated with WC-manual (r = 0.919, p < 0.001), and showed a mean difference of 6.1 cm with limits of agreement between -1.8 cm and 14.0 cm in comparison to WC-manual. For identifying overweight/obesity, CT-measured WC showed excellent performance, with areas under the ROC curve (AUCs) of 0.960 (95% CI, 0.933–0.979) in women and 0.909 (95% CI, 0.878–0.935) in men, which were comparable to WC-manual (AUCs of 0.965 [95% CI, 0.938–0.982] and 0.916 [95% CI, 0.886–0.941]; p = 0.735 and 0.437, respectively). Conclusion CT-measured WC using a fully automated body segmentation algorithm was closely correlated with manually-measured WC. While radiation issue may limit its general use, it can serve as an adjunctive output of abdominal CT scans to identify overweight/obesity.
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Affiliation(s)
- Ijin Joo
- Department of Radiology, Seoul National University Hospital and Seoul National Collage of Medicine, Seoul, Korea
| | - Min-Sun Kwak
- Department of Internal Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Korea
| | - Dae Hyun Park
- Department of Research and Development, MEDICALIP Co. Ltd., Seoul, Korea
| | - Soon Ho Yoon
- Department of Radiology, Seoul National University Hospital and Seoul National Collage of Medicine, Seoul, Korea
- * E-mail:
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19
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Apolloni F, Fusetti S. Does overweight affect the sagittal dimension of the posterior airway space in a non-OSAS population? A case control study. Clin Exp Dent Res 2021; 7:226-230. [PMID: 33291187 PMCID: PMC8019763 DOI: 10.1002/cre2.358] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 09/29/2020] [Accepted: 10/10/2020] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE The null hypothesis was that, in a non-obstructive sleep apnea syndrome population, overweight do not reduce the antero-posterior dimension of the posterior airway space. MATERIALS AND METHODS The author retrospectively reviewed the records of subjects evaluated at the Maxillofacial Surgery Unit, Department of Neurosciences, University of Padova Medical School, Padova, Italy, from 2016 to 2018. Only patients with complete demographic, anthropological and CBCT dataset were enrolled. OSAS patient were also ruled-out. Enrolled patients were divided into overweight (28 cases) and non-overweight (32 controls) groups according to the patient's Body Mass Index. Each two-dimensional cephalometric radiography obtained from the cone-beam computer tomography dataset was evaluated in order to measure linear and angular distances between standardized cephalometric landmarks. The two-sample t-test was the statistical test applied to compare the case and control data. RESULTS There were no statistical differences between the two study groups for any of the evaluated variables: the null hypothesis was accepted. CONCLUSION This study showed that in a non-obstructive sleep-apnea population, overweight and class I obesity does not influence the airway space in the antero-posterior dimension. Further investigation should focus on categorized overweight-obese population. Accurate and reliable protocol for tridimensional airways assessment should be implemented.
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Affiliation(s)
- Federico Apolloni
- Maxillofacial Surgery Unit, Department of NeurosciencesUniversity of Padova Medical SchoolPadovaItaly
| | - Stefano Fusetti
- Maxillofacial Surgery Unit, Department of NeurosciencesUniversity of Padova Medical SchoolPadovaItaly
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20
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Peng R, Mardakhaev E, Shmukler A, Levsky JM, Haramati LB. Meeting ACR Dose Guidelines for CT Lung Cancer Screening in an Overweight and Obese Population. Acad Radiol 2021; 28:381-386. [PMID: 32284173 DOI: 10.1016/j.acra.2020.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Revised: 02/05/2020] [Accepted: 02/06/2020] [Indexed: 12/01/2022]
Abstract
RATIONALE AND OBJECTIVES Lung cancer screening adoption coincides with a growing obesity epidemic. Maintaining high-quality imaging at low radiation dose is challenging in obesity. We investigate the feasibility of meeting American College of Radiology (ACR) dose guidelines for lung cancer screening in a predominantly overweight and obese population. MATERIALS AND METHODS Radiation dose (Volumetric CT dose index [CTDIvol], dose-length product), and body mass index (BMI) were collected for baseline screening CTs December, 2012-December, 2017. Dose metrics were analyzed according to BMI classification (normal <25, overweight 25-29, obese ≥30 kg/m2), using k = 0.014 mSv/mGy*cm. Results were compared to ACR dose guidelines and mean national 2017 Lung Cancer Screening Registry dose metrics. Analysis used Kruskal-Wallis (SPSS, version 24.0.0, IBM corp, Armonk, NY). RESULTS Study population comprised 1478 patients (49.2% [727] women: mean BMI 28.1 ± 6.5 kg/m2, 26.9% [397] normal weight, 35.9% [530] overweight, 37.2% [551] obese). ACR dose requirements were met for both genders in all BMI classifications. Dose metrics were higher in men than in women; median effective dose and CTDIvol were 1.39 (0.8-1.58) mSv and 2.78 (1.41-2.80) mGy in men versus 1.16 (0.71-1.43) mSv and 2.70 (1.4-2.78) mGy in women. There were significant differences in dose metrics between men and women in the same BMI classification and between BMI classifications (p < 0.001). Mean dose metrics in our program were considerably lower than 2017 national average- mean CTDIvol and effective dose 2.45 ± 1.14 mGy and 1.26 ± 0.59 mSv versus 3.24 mGy and 1.35 mSv, respectively for our program and nationally. Mean dose metrics were also lower in our obese patients versus obese patients nationally. CONCLUSION ACR dose metrics for lung cancer screening were met and can be appropriately tailored in a predominantly overweight and obese population clinical program.
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Affiliation(s)
- Robert Peng
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210 Street, Bronx, New York 10467.
| | - Edward Mardakhaev
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210 Street, Bronx, New York 10467
| | - Anna Shmukler
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210 Street, Bronx, New York 10467
| | - Jeffrey M Levsky
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210 Street, Bronx, New York 10467
| | - Linda B Haramati
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210 Street, Bronx, New York 10467
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Chiyanika C, Wong VWS, Wong GLH, Chan HLY, Hui SCN, Yeung DKW, Chu WCW. Implications of Abdominal Adipose Tissue Distribution on Nonalcoholic Fatty Liver Disease and Metabolic Syndrome: A Chinese General Population Study. Clin Transl Gastroenterol 2021; 12:e00300. [PMID: 33600104 PMCID: PMC7889374 DOI: 10.14309/ctg.0000000000000300] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 12/10/2020] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION Visceral adipose tissue (VAT) has been found to play a critical role in the development of metabolic syndrome and nonalcoholic fatty liver disease (NAFLD) independent of generalized obesity. METHODS In this secondary study of prospectively acquired data, 625 participants underwent magnetic resonance spectroscopy and chemical shift fat-water separation MRI (2-point Dixon) of the liver and whole abdomen, respectively, in a 3 Tesla magnet. Whole abdominal VAT and subcutaneous adipose tissue (SAT) were extracted from the 2-point Dixon image series using an automated method. Clinical/anthropometric/blood biochemistry parameters were measured. Using region-specific body mass index, participants were classified into 3 paired subgroups (lean, overweight, and obese) and presence of NAFLD (liver fat content ≥ 5.5%). RESULTS All relevant clinical/anthropometric/blood biochemistry characteristics and liver enzymes were statistically significant between groups (P < 0.001). NAFLD was found in 12.1%, 43.8%, and 68.3% and metabolic syndrome in 51.1%, 61.9%, and 65% of the lean, overweight, and obese, respectively. Odds ratio for metabolic syndrome and NAFLD was increased by 2.73 (95% confidence interval [CI] 2.18-3.40) and 2.53 (95% CI 2.04-3.12), respectively, for 1SD increase in VAT volume while prevalence of metabolic syndrome was increased by 2.26 (95% CI 1.83-2.79) for 1SD increase in liver fat content (%). VAT/SAT ratio in the lean with fatty liver showed the highest ratio (0.54) among all the subgroups, without a significant difference between the lean and obese with NAFLD (P = 0.127). DISCUSSION Increased VAT volume/disproportional distribution of VAT/SAT may be vital drivers to the development of metabolic syndrome and NAFLD irrespective of body mass index category.
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Affiliation(s)
- Chileka Chiyanika
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
| | - Vincent Wai-Sun Wong
- Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Grace Lai-Hung Wong
- Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Henry Lik-Yuen Chan
- Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Steve C. N. Hui
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - David K. W. Yeung
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
- Department of Clinical Oncology, The Chinese University of Hong Kong, Hong Kong, China
| | - Winnie C. W. Chu
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
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Schaudinn A, Hudak A, Linder N, Reinhardt M, Stocker G, Lordick F, Denecke T, Busse H. Toward a Routine Assessment of Visceral Adipose Tissue Volume from Computed Tomographic Data. Obesity (Silver Spring) 2021; 29:294-301. [PMID: 33369246 DOI: 10.1002/oby.23061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/14/2020] [Accepted: 09/22/2020] [Indexed: 11/11/2022]
Abstract
OBJECTIVE The study's aim was to determine to what extent total visceral adipose tissue (VAT) volume (VVAT-T ) measured from segmented VAT areas (AVAT ) on all axial computed tomography (CT) sections (thickness of 5 mm) between the diaphragm and pelvic floor can be predicted by the AVAT of commonly selected landmark sections in patients with overweight or obesity. METHODS A total of 113 patients (31 females, 82 males) with images of full abdominopelvic coverage and proper image quality were included (BMI = 25.0-64.1 kg/m2 , 29.5 ± 4.9 kg/m2 ). Linear regression between AVAT and VVAT-T (reference) was used to determine approximate equations for VAT volume for all parameters (single sex, different anatomical landmarks or lumbar intervertebral disc spaces, one or five axial sections). Agreement was evaluated by the multivariate coefficient of determination and by the SD of the percentage difference (sd% ) between the estimated VAT volume on one or five sections and VVAT-T . RESULTS The VVAT-T was 0.9 to 8.4 (3.8 ± 2.2) L for females and 2.7 to 11.7 (5.6 ± 2.1) L for males. Best agreement was found at L2-3 (sd% = 14.3%-15.5%) for females and at L1-2 or L2-3 (11.7%-12.4%) for males. Agreement at the umbilicus or the femoral heads was poor (20.2%-57.9%). Segmentation of one or five sections was substantially faster (11/70 seconds) than whole-abdomen processing (15 minutes). CONCLUSIONS VVAT-T can be rapidly estimated by VAT segmentation of axial CT sections at sex-specific lumbar intervertebral disc spaces.
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Affiliation(s)
- Alexander Schaudinn
- Department of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Germany
| | - Andrea Hudak
- Department of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Germany
| | - Nicolas Linder
- Department of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Germany
- Integrated Research and Treatment Center, Adiposity Diseases, Leipzig University Medical Center, Leipzig, Germany
| | - Martin Reinhardt
- Department of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Germany
| | - Gertraud Stocker
- Leipzig University Cancer Center, Leipzig University Hospital, Leipzig, Germany
| | - Florian Lordick
- Leipzig University Cancer Center, Leipzig University Hospital, Leipzig, Germany
| | - Timm Denecke
- Department of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Germany
| | - Harald Busse
- Department of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Germany
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Kullmann S, Abbas Z, Machann J, Shah NJ, Scheffler K, Birkenfeld AL, Häring HU, Fritsche A, Heni M, Preissl H. Investigating obesity-associated brain inflammation using quantitative water content mapping. J Neuroendocrinol 2020; 32:e12907. [PMID: 33025697 DOI: 10.1111/jne.12907] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 08/28/2020] [Accepted: 08/28/2020] [Indexed: 12/11/2022]
Abstract
There is growing evidence that obesity is associated with inflammation in the brain, which could contribute to the pathogenesis of obesity. In humans, it is challenging to detect brain inflammation in vivo. Recently, quantitative magnetic resonance imaging (qMRI) has emerged as a tool for characterising pathophysiological processes in the brain with reliable and reproducible measures. Proton density imaging provides quantitative assessment of the brain water content, which is affected in different pathologies, including inflammation. We enrolled 115 normal weight, overweight and obese men and women (body mass index [BMI] range 20.1-39.7 kg m-2 , age range 20-75 years, 60% men) to acquire cerebral water content mapping in vivo using MRI at 3 Tesla. We investigated potential associations between brain water content with anthropometric measures of obesity, body fat distribution and whole-body metabolism. No global changes in water content were associated with obesity. However, higher water content values in the cerebellum, limbic lobe and sub-lobular region were detected in participants with higher BMI, independent of age. More specifically, the dorsal striatum, hypothalamus, thalamus, fornix, anterior limb of the internal capsule and posterior thalamic radiation showed the strongest relationship with BMI, independent of age. In a subgroup with available measurements (n = 50), we identified visceral adipose tissue to be the strongest tested link between higher water content values and obesity. Individuals with metabolic syndrome had the highest water content values in the hypothalamus and the fornix. There is accumulating evidence that inflammation of the hypothalamus contributed to obesity-associated insulin resistance in that area. Whether brain inflammation is a cause or consequence of obesity in humans still needs to be investigated using a longitudinal study design. Using qMRI, we were able to detect marked water content changes in young and older obese adults, which is most likely the result of chronic low-grade inflammation.
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Affiliation(s)
- Stephanie Kullmann
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Tübingen, Germany
- Department of Internal Medicine IV, University of Tübingen, Tübingen, Germany
| | - Zaheer Abbas
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich GmbH, Jülich, Germany
- Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Jürgen Machann
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Tübingen, Germany
- Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University of Tübingen, Tübingen, Germany
| | - Nadim J Shah
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich GmbH, Jülich, Germany
- Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine - 11, Forschungszentrum Jülich GmbH, Jülich, Germany
- JARA - BRAIN - Translational Medicine, RWTH Aachen University, Aachen, Germany
- Monash Biomedical Imaging, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Klaus Scheffler
- Department of High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | - Andreas L Birkenfeld
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Tübingen, Germany
- Department of Internal Medicine IV, University of Tübingen, Tübingen, Germany
| | - Hans-Ulrich Häring
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Tübingen, Germany
- Department of Internal Medicine IV, University of Tübingen, Tübingen, Germany
| | - Andreas Fritsche
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Tübingen, Germany
- Department of Internal Medicine IV, University of Tübingen, Tübingen, Germany
| | - Martin Heni
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Tübingen, Germany
- Department of Internal Medicine IV, University of Tübingen, Tübingen, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, University Hospital Tübingen, Tübingen, Germany
| | - Hubert Preissl
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Tübingen, Germany
- Department of Internal Medicine IV, University of Tübingen, Tübingen, Germany
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Department of Pharmacy and Biochemistry, Institute of Pharmaceutical Sciences, Eberhard Karls Universität Tübingen, Tübingen, Germany
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24
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Hyafil F, Chequer R, Sorbets E, Estellat C, Ducrocq G, Rouzet F, Alfaiate T, Regaieg H, Abtan J, Leygnac S, Milliner M, Imbert L, Burg S, Ben Azzouna R, Potier L, Laouénan C, Quintin C, Roussel R, Hartemann A, Montalescot G, Marie PY, Steg G, Le Guludec D. Head-to-head comparison of the diagnostic performances of Rubidium-PET and SPECT with CZT camera for the detection of myocardial ischemia in a population of women and overweight individuals. J Nucl Cardiol 2020; 27:755-768. [PMID: 30574676 DOI: 10.1007/s12350-018-01557-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 11/11/2018] [Indexed: 12/23/2022]
Abstract
BACKGROUND The aim of this study was to compare the diagnostic performances for the detection of myocardial ischemia of 82-Rb-PET-MPS and 99m-Tc-SPECT-MPS in overweight individuals and women. METHODS AND RESULTS Men with BMI ≥ 25 and women referred for MPS were considered for inclusion. All individuals underwent 99m-Tc-SPECT-MPS with CZT cameras and 82-Rb-PET-MPS in 3D-mode. Individuals with at least one positive MPS were referred for coronary angiography (CA) with FFR measurements. A criterion for positivity was a composite endpoint including significant stenosis on CA or, in the absence of CA, the occurrence of acute coronary event during the following year. 313 patients (46% women) with mean BMI of 31.8 ± 6.5 were included. Sensitivity for the detection of myocardial ischemia was higher with 82-Rb-PET-MPS compared with 99m-Tc-SPECT-MPS (85% vs. 57%, P < .05); specificity was equally high with both imaging techniques (93% vs. 94%, P > .05). 82-Rb-PET allowed for a more accurate detection of patients with a high-risk coronary artery disease (HR-CAD) than 99m-Tc-SPECT-MPS (AUC = 0.86 vs. 0.75, respectively; P = .04). CONCLUSIONS In women and overweight individuals, 82-Rb-PET-MPS provides higher sensitivity for the detection of myocardial ischemia than 99m-Tc-SPECT-MPS thanks to a better image quality and an improved detection of HR-CAD.
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Affiliation(s)
- Fabien Hyafil
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
- INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France.
| | - Renata Chequer
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France
| | - Emmanuel Sorbets
- Department of Cardiology, Avicenne University Hospital, AP-HP, University Paris 13, 9300, Bobigny, France
| | - Candice Estellat
- Département de Biostatistiques, Hôpital Pitié-Salpêtrière, AP-HP, Santé Publique et Informatique Médicale, 75013, Paris, France
- INSERM, CIC-EC 1425, ECEVE UMR 1123, 75018, Paris, France
| | - Gregory Ducrocq
- INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France
- Department of Cardiology, Bichat University Hospital, AP-HP, 75018, Paris, France
- French Alliance for Cardiovascular Trials, and F-CRIN Network, Paris, France
| | - François Rouzet
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France
- INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France
| | - Toni Alfaiate
- Département d'Epidémiologie, Hôpital Bichat, AP-HP, Biostatistique et Recherche Clinique, 75018, Paris, France
| | - Hamza Regaieg
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France
| | - Jérémie Abtan
- Department of Cardiology, Bichat University Hospital, AP-HP, 75018, Paris, France
- French Alliance for Cardiovascular Trials, and F-CRIN Network, Paris, France
| | - Sébastien Leygnac
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France
- INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France
| | - Milan Milliner
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France
- INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France
| | - Laetitia Imbert
- Department of Nuclear Medicine, Brambois University Hospital, Lorraine University, 54500, Vandœuvre-Lès-Nancy, France
| | - Samuel Burg
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France
- INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France
| | - Rana Ben Azzouna
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France
- INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France
| | - Louis Potier
- Department of Diabetology, DHU FIRE, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France
| | - Cédric Laouénan
- Département d'Epidémiologie, Hôpital Bichat, AP-HP, Biostatistique et Recherche Clinique, 75018, Paris, France
| | - Caroline Quintin
- Département d'Epidémiologie, Hôpital Bichat, AP-HP, Biostatistique et Recherche Clinique, 75018, Paris, France
| | - Ronan Roussel
- Department of Diabetology, DHU FIRE, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France
| | - Agnès Hartemann
- Department of Diabetology, Pitié-Salpétriêre University Hospital, AP-HP, Sorbonne University Paris 6, 75006, Paris, France
| | - Gilles Montalescot
- ACTION Study Group, Department of Cardiology, Pitié-Salpétriêre, Sorbonne Université-Paris 6, 75006, Paris, France
| | - Pierre-Yves Marie
- Department of Nuclear Medicine, Brambois University Hospital, Lorraine University, 54500, Vandœuvre-Lès-Nancy, France
| | - Gabriel Steg
- INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France
- Department of Cardiology, Bichat University Hospital, AP-HP, 75018, Paris, France
- French Alliance for Cardiovascular Trials, and F-CRIN Network, Paris, France
| | - Dominique Le Guludec
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France
- INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France
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25
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Grossman GB. Myocardial perfusion imaging in overweight patients and women: Is it CZT good enough? J Nucl Cardiol 2020; 27:769-773. [PMID: 30963418 DOI: 10.1007/s12350-019-01656-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 01/30/2019] [Indexed: 12/15/2022]
Affiliation(s)
- Gabriel Blacher Grossman
- Nuclear Medicine Department, Hospital Moinhos de Vento, Porto Alegre, Brazil.
- Cardionuclear, Instituto de Cardiologia, Porto Alegre, Brazil.
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26
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Ren Y, Xu M, von Deneen KM, He Y, Li G, Zheng Y, Zhang W, Li X, Han Y, Cui G, Ji G, Nie Y, Zhang Y. Acute and long-term effects of electroacupuncture alter frontal and insular cortex activity and functional connectivity during resting state. Psychiatry Res Neuroimaging 2020; 298:111047. [PMID: 32114310 DOI: 10.1016/j.pscychresns.2020.111047] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 02/06/2020] [Accepted: 02/14/2020] [Indexed: 12/17/2022]
Abstract
Electroacupuncture (EA) is a safe method for treating obesity; however, its underlying neural mechanisms remain unclear. We employed resting-state-functional-magnetic-resonance-imaging (RS-fMRI) and amplitude-of-low-frequency-fluctuation (ALFF) to investigate acute/long-term effects of EA on brain activity and resting-state-functional-connectivity (RSFC) in overweight/obesity subjects who received real/Sham stimulation. For acute effects, 26 and 19 overweight/obesity subjects were included in EA and Sham groups respectively. There were significant time effects on ALFF in the right insula (INS) and left dorsolateral-prefrontal-cortex (DLPFC) due to decreases/increases in INS/DLPFC in both groups. There were weaker positive RSFC between INS and supplementary-motor-area (SMA)/right DLPFC and weaker negative RSFC between INS and precuneus (PCUN); stronger negative RSFC between DLPFC and dorsomedial-prefrontal-cortex (DMPFC) in both groups. For long-term study, body-mass-index (BMI) had significant reduction in EA (n = 17) and Sham (15) groups; EA had higher BMI reduction than in Sham. There were significant time effects on ALFF in right ventrolateral-prefrontal-cortex (VLPFC) due to significant increases in EA group, and stronger positive RSFC between VLPFC and orbitofrontal-cortex and negative RSFC between VLPFC and left thalamus (THA) in both groups after long-term treatment. These findings suggest that changes in resting-activity and RSFC implicated in inhibitory-control, gastric-motility and satiety-control are associated with EA-induced weight-loss.
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Affiliation(s)
- Yuanyuan Ren
- Department of Acupuncture and Massage, Xi'an Traditional Chinese Medicine Hospital, Shaanxi University of Chinese Medicine, Xi'an, Shaanxi 710021, China.
| | - Mingzhu Xu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
| | - Yang He
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Yang Zheng
- Department of Acupuncture and Massage, Xi'an Traditional Chinese Medicine Hospital, Shaanxi University of Chinese Medicine, Xi'an, Shaanxi 710021, China
| | - Wenjing Zhang
- Department of Acupuncture and Massage, Xi'an Traditional Chinese Medicine Hospital, Shaanxi University of Chinese Medicine, Xi'an, Shaanxi 710021, China
| | - Xiaoping Li
- Department of Acupuncture and Massage, Xi'an Traditional Chinese Medicine Hospital, Shaanxi University of Chinese Medicine, Xi'an, Shaanxi 710021, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710038, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710038, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
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27
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Ribeiro ACR, Lyra A, Bonfitto AJ, Tostes Filho GV, Zanesco L, Fleury EFC, Ferreira AB, Longui CA, Monte O, Kochi C. Assessment of intima-media thickness of the carotid artery and intraluminal diameter of the brachial artery as cardiovascular risk markers in Brazilian adolescents with overweight or obesity. J Pediatr Endocrinol Metab 2020; 33:339-345. [PMID: 32069234 DOI: 10.1515/jpem-2019-0254] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 01/08/2020] [Indexed: 01/01/2023]
Abstract
Background The intima-media thickness of the carotid artery (cIMT) and endothelial dysfunction are associated with cardiovascular (CV) disease. Objectives To evaluate the correlation between cIMT, brachial intraluminal diameter and flow-mediated vasodilation on the reactive hyperemia phase in adolescents with obesity with predictors of CV risk. Methods Seventy-three pubertal patients with overweight or obesity were evaluated (45 girls) with a mean (standard deviation [SD]) age of 12.9 (2.5) years. Patients underwent anthropometric measurements and had the lipid profile, oral glucose tolerance test (oGTT) and serum intercellular adhesion molecule-1 (sICAM-1) levels analyzed. The ratios of the waist circumference (WC)/height (WHtR) and triglycerides (TG)/high-density lipoprotein cholesterol (HDL-C), homeostatic model assessment of insulin resistance (HOMA-IR), the Matsuda index and insulin area under the curve (AUC) were calculated. All patients were evaluated for cIMT and arterial blood flow velocity of the brachial artery. Results 75.3% of the patients had high cIMT values. We found a positive correlation between WHtR and cIMT (r = 0.233; p = 0.050). There was a positive correlation between sICAM-1 and insulin AUC (r = 0.323; p = 0.012) and WHtR (r = 0.258; p = 0.047). Patients with abnormal arterial dilation had higher sICAM-1 values (p = 0.02) despite having smaller WHtR (p = 0.046). Conclusions These adolescents with obesity had high cIMT values. Insulin resistance was associated with sICAM-1. Endothelial dysfunction was positively correlated with sICAM-1. There is no consensus about what the best laboratorial approach to evaluate insulin resistance in adolescents is, and the cutoff values of each method are arbitrary. So, as we saw earlier, the association between anthropometric data (WHtR) and ultrasound findings could be useful to evaluate the CV risk of these adolescents with obesity, because of its practical, direct and low-cost value.
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Affiliation(s)
- Alessandra C R Ribeiro
- Department of Radiology, Santa Casa de Sao Paulo School of Medical Sciences, São Paulo, SP, Brazil
| | - Arthur Lyra
- Pediatric Endocrinology Unit, Santa Casa de Sao Paulo School of Medical Sciences, São Paulo, SP, Brazil
| | | | | | - Leonardo Zanesco
- Santa Casa de Sao Paulo School of Medical Sciences, São Paulo, SP, Brazil
| | - Eduardo F C Fleury
- Department of Radiology, Santa Casa de Sao Paulo School of Medical Sciences, São Paulo, SP, Brazil
| | - Aleksandro B Ferreira
- Pediatric Endocrinology Unit, Santa Casa de Sao Paulo School of Medical Sciences, São Paulo, SP, Brazil
| | - Carlos A Longui
- Pediatric Endocrinology Unit, Santa Casa de Sao Paulo School of Medical Sciences, São Paulo, SP, Brazil
| | - Osmar Monte
- Pediatric Endocrinology Unit, Santa Casa de Sao Paulo School of Medical Sciences, São Paulo, SP, Brazil
| | - Cristiane Kochi
- Pediatric Endocrinology Unit, Santa Casa de Sao Paulo School of Medical Sciences, 112 Dr. Cesário Mota Jr Street, São Paulo, SP, CEP 01238-010, Brazil, Phone: +55 11-3222-0628
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Espeland MA, Hayden KM, Lockhart SN, Yassine HN, Hoscheidt S, Yasar S, Luchsinger JA, Neiberg RH, Diaz Brinton R, Carmichael O. Sex-Related Differences in Brain Volumes and Cerebral Blood Flow Among Overweight and Obese Adults With Type 2 Diabetes: Exploratory Analyses From the Action for Health in Diabetes Brain Magnetic Resonance Imaging Study. J Gerontol A Biol Sci Med Sci 2020; 75:771-778. [PMID: 30997482 PMCID: PMC7205422 DOI: 10.1093/gerona/glz090] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Sex may be an important modifier of brain health in response to risk factors. We compared brain structure and function of older overweight and obese women and men with type 2 diabetes mellitus. METHODS Cross-sectional cognitive assessments and magnetic resonance images were obtained in 224 women and 95 men (mean age 69 years) with histories of type 2 diabetes mellitus and overweight or obesity. Prior to magnetic resonance images, participants had completed an average of 10 years of random assignment to either multidomain intervention targeting weight loss or a control condition of diabetes support and education. Total (summed gray and white) matter volumes, white matter hyperintensity volumes, and cerebral blood flow across five brain regions of interest were analyzed using mixed-effects models. RESULTS After covariate adjustment, women, compared with men, averaged 10.9 [95% confidence interval 3.3, 18.5; ≈1%] cc greater summed region of interest volumes and 1.39 [0.00002, 2.78; ≈54%] cc greater summed white matter hyperintensity volumes. Sex differences could not be attributed to risk factor profiles or intervention response. Their magnitude did not vary significantly with respect to age, body mass index, intervention assignment, or APOE-ε4 genotype. Sex differences in brain magnetic resonance images outcomes did not account for the better levels of cognitive functioning in women than men. CONCLUSIONS In a large cohort of older overweight or obese adults with type 2 diabetes mellitus, differences in brain volumes and white matter disease were apparent between women and men, but these did not account for a lower prevalence of cognitive impairment in women compared with men in this cohort. TRIAL REGISTRATION NCT00017953.
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Affiliation(s)
- Mark A Espeland
- Department of Biostatistics and Data Science, Winston-Salem, NC
| | | | - Samuel N Lockhart
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Hussein N Yassine
- Department of Medicine, Keck School of Medicine, University of Southern California. Los Angeles, CA
| | - Siobhan Hoscheidt
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Sevil Yasar
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Jose A Luchsinger
- Department of Medicine, Columbia University Medical Center, New York, NY
| | | | - Roberta Diaz Brinton
- University of Arizona Center for Innovation in Brain Science, The University of Arizona Health Sciences, Tucson, AZ
| | - Owen Carmichael
- Biomedical Imaging Center, Pennington Biomedical Research Center, Baton Rouge, LA
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Metaxas VI, Messaris GA, Gatzounis GD, Tzortzidis FN, Panayiotakis GS. DO THE BMI AND SURGEON INFLUENCE THE PATIENT DOSE IN FLUOROSCOPICALLY GUIDED LUMBAR DISCECTOMY AND FUSION?☆. Radiat Prot Dosimetry 2019; 185:472-482. [PMID: 30916774 DOI: 10.1093/rpd/ncz039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 02/21/2019] [Accepted: 02/26/2019] [Indexed: 06/09/2023]
Abstract
A survey was conducted to evaluate the role of the surgeon and the patients' body size, on patient radiation dose in fluoroscopically guided lumbar discectomy and fusion (LDF) procedures. Fluoroscopy time (FT), kerma area product (KAP), cumulative dose (CD), as well as anatomical and technical data were recorded for 100 patients, who underwent single or multi-level posterior LDF, which was carried out by three senior neurosurgeons utilising a C-arm fluoroscopy system. The patients were divided into three groups based on the body mass index (BMI) values (normal, overweight, obese) and the neurosurgeon that performed each procedure (surgeon 1, surgeon 2, surgeon 3). Entrance surface dose (ESD) was estimated based on KAP values and exposure data, while the effective dose (ED) was estimated utilising the KAP values and appropriate conversion coefficients. The mean FT, KAP, CD, ESD and ED values were 11.7 s, 0.65 Gy cm2, 2.96 mGy, 11.7 mGy and 0.08 mSv for normal patients, 22.1 s, 0.94 Gy cm2, 4.27 mGy, 21.4 mGy and 0.11 mSv for overweight patients and 67.7 s, 3.59 Gy cm2, 17.79 mGy, 107.2 mGy and 0.44 mSv for obese patients. The corresponding values were 21.5 s, 0.77 Gy cm2, 3.51 mGy, 17.5 mGy, 0.09 mSv for the first, 23.0 s, 1.44 Gy cm2, 6.52 mGy, 30.2 mGy, 0.18 mSv for the second and 14.2 s, 0.64 Gy cm2, 2.91 mGy, 17.0 mGy, 0.08 mSv for the third surgeon. Overweight patients received 83% and 38% higher ESD and ED, while obese patients 816% and 450%, compared to normal patients, respectively. The CD values should be implemented with caution, as a skin dose indicator, for all patient sizes. The weight-FT product could be useful in estimating KAP during LDF procedures. The third surgeon achieved the lowest dose values. Although the first surgeon had the same FT with the second surgeon, the corresponding dose values were decreased by 50%. The differences in FT, KAP, CD and ED values among the groups of patients studied were not statistically significant (Kruskal-Wallis test, p > 0.05), although the p-values were close to the threshold of statistical significance. The pairwise comparisons showed statistically significant differences for KAP, CD and ED values between obese and normal patients and between surgeon 1 and surgeon 3 (Mann-Whitney test, p < 0.05). The ESD values showed statistically significant differences among the BMI-based groups and among the surgeon-based groups studied (Kruskal-Wallis test, p < 0.05). This fact can be attributed to the better implementation of the fluoroscopy system technical parameters concerning the patients' size, clinical conditions and complexity of the procedures. Training and awareness of neurosurgeons on radiation protection issues are of critical importance; however, further studies should be performed towards optimisation procedures regarding patient dose.
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Affiliation(s)
- Vasileios I Metaxas
- Department of Medical Physics, School of Medicine, University of Patras, 265 04 Patras, Greece
| | - Gerasimos A Messaris
- Department of Medical Physics, School of Medicine, University of Patras, 265 04 Patras, Greece
| | - George D Gatzounis
- Department of Neurosurgery, School of Medicine, University of Patras, 265 04 Patras, Greece
| | - Fotios N Tzortzidis
- Department of Neurosurgery, School of Medicine, University of Patras, 265 04 Patras, Greece
| | - George S Panayiotakis
- Department of Medical Physics, School of Medicine, University of Patras, 265 04 Patras, Greece
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Tamura A, Nakayama M, Ota Y, Kamata M, Hirota Y, Sone M, Hamano M, Tanaka R, Yoshioka K. Feasibility of thin-slice abdominal CT in overweight patients using a vendor neutral image-based denoising algorithm: Assessment of image noise, contrast, and quality. PLoS One 2019; 14:e0226521. [PMID: 31846490 PMCID: PMC6917298 DOI: 10.1371/journal.pone.0226521] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 11/26/2019] [Indexed: 11/19/2022] Open
Abstract
The purpose of this study was to investigate whether the novel image-based noise reduction software (NRS) improves image quality, and to assess the feasibility of using this software in combination with hybrid iterative reconstruction (IR) in image quality on thin-slice abdominal CT. In this retrospective study, 54 patients who underwent dynamic liver CT between April and July 2017 and had a body mass index higher than 25 kg/m2 were included. Three image sets of each patient were reconstructed as follows: hybrid IR images with 1-mm slice thickness (group A), hybrid IR images with 5-mm slice thickness (group B), and hybrid IR images with 1-mm slice thickness denoised using NRS (group C). The mean image noise and contrast-to-noise ratio relative to the muscle of the aorta and liver were assessed. Subjective image quality was evaluated by two radiologists for sharpness, noise, contrast, and overall quality using 5-point scales. The mean image noise was significantly lower in group C than in group A (p < 0.01), but no significant difference was observed between groups B and C. The contrast-to-noise ratio was significantly higher in group C than in group A (p < 0.01 and p = 0.01, respectively). Subjective image quality was also significantly higher in group C than in group A (p < 0.01), in terms of noise and overall quality, but not in terms of sharpness and contrast (p = 0.65 and 0.07, respectively). The contrast of images in group C was greater than that in group A, but this difference was not significant. Compared with hybrid IR alone, the novel NRS combined with a hybrid IR could result in significant noise reduction without sacrificing image quality on CT. This combined approach will likely be particularly useful for thin-slice abdominal CT examinations of overweight patients.
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Affiliation(s)
- Akio Tamura
- Department of Radiology, Iwate Medical University School of Medicine, Morioka, Japan
- * E-mail:
| | - Manabu Nakayama
- Department of Radiology, Iwate Medical University School of Medicine, Morioka, Japan
| | - Yoshitaka Ota
- Division of Central Radiology, Iwate Medical University Hospital, Morioka, Japan
| | - Masayoshi Kamata
- Division of Central Radiology, Iwate Medical University Hospital, Morioka, Japan
| | - Yasuyuki Hirota
- Division of Central Radiology, Iwate Medical University Hospital, Morioka, Japan
| | - Misato Sone
- Department of Radiology, Iwate Medical University School of Medicine, Morioka, Japan
| | - Makoto Hamano
- Department of Radiology, Iwate Medical University School of Medicine, Morioka, Japan
| | - Ryoichi Tanaka
- Division of Dental Radiology, Department of General Dentistry, Iwate Medical University School of Dentistry, Morioka, Japan
| | - Kunihiro Yoshioka
- Department of Radiology, Iwate Medical University School of Medicine, Morioka, Japan
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Metaxas VI, Messaris GA, Lekatou AN, Petsas TG, Panayiotakis GS. PATIENT DOSE IN DIGITAL RADIOGRAPHY UTILISING BMI CLASSIFICATION. Radiat Prot Dosimetry 2019; 184:155-167. [PMID: 30452729 DOI: 10.1093/rpd/ncy194] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 10/15/2018] [Accepted: 10/18/2018] [Indexed: 06/09/2023]
Abstract
Dose audit is important towards optimisation of patients' radiation protection in diagnostic radiography. In this study, the effect of the body mass index (BMI) on radiation dose received by 1869 adult patients undergoing chest, abdomen, lumbar spine, kidneys and urinary bladder (KUB) and pelvis radiography in an X-ray room with a digital radiography system was investigated. Patients were categorised into three groups (normal, overweight and obese) based on the BMI values. The patients' entrance surface air kerma (ESAK) and the effective dose (ED) were calculated based on the X-ray tube output, exposure parameters and technical data, as well as utilising appropriate conversion coefficients of the recorded kerma area product (KAP) values. The local diagnostic reference levels (LDRLs) were established at the 75th percentile of the distribution of ESAK and KAP values. Statistically, a significant increase was found in ESAK, KAP and ED values, for all examinations, both for overweight and obese patients compared to normal patients (Mann-Whitney test, p < 0.0001). Regarding the gender of the patients, a statistically significant increase was found in the dose values for male patients compared to female patients, except for the chest LAT examinations (Mann-Whitney test, p = 0.06). The percentage increase for chest PA, chest LAT, abdomen AP, lumbar spine AP, lumbar spine LAT, pelvis AP and KUB AP in overweight patients was 75%, 100%, 136%, 130%, 70%, 66% and 174% for median ESAK, 67%, 81%, 135%, 134%, 85%, 63% and 172% for median KAP, as well as 89%, 54%, 146%, 138%, 82%, 57% and 183% for median ED values, respectively. For obese patients, the corresponding increases were 200%, 186%, 459%, 345%, 203%, 150% and 785% for median ESAK, 200%, 185%, 423%, 357%, 227%, 142% and 597% for median KAP, as well as 222%, 156%, 446%, 363%, 218%, 136% and 625% for median ED. The corresponding LDRLs for overweight patients were 0.17 mGy, 1.21 mGy, 3.74 mGy, 7.70 mGy, 7.99 mGy, 4.07mGy, 5.03 mGy and 0.13 Gy cm2, 0.69 Gy cm2, 2.35 Gy cm2, 2.10 Gy cm2, 2.59 Gy cm2, 2.13 Gy cm2, 2.49 Gy cm2 in terms of ESAK and KAP values, respectively, while in the case of obese patients were 0.28 mGy, 1.82 mGy, 7.26 mGy, 15.10 mGy, 13.86 mGy, 6.89 mGy, 13.40 mGy and 0.21 Gy cm2, 1.10 Gy cm2, 4.68 Gy cm2, 4.01 Gy cm2, 4.80 Gy cm2, 3.27 Gy cm2, 6.02 Gy cm2, respectively. It can be concluded that overweight and obese patients received a significantly increased radiation dose. Careful adjustment of imaging protocols is needed for these patients to reduce patient dose, while keeping the image quality at an acceptable level. Additional studies need to be conducted for these patient groups, that could further contribute to the development of radiation protection culture in diagnostic radiography.
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Affiliation(s)
- Vasileios I Metaxas
- Department of Medical Physics, School of Medicine, University of Patras, Patras, Greece
| | - Gerasimos A Messaris
- Department of Medical Physics, School of Medicine, University of Patras, Patras, Greece
| | - Aristea N Lekatou
- Department of Medical Physics, School of Medicine, University of Patras, Patras, Greece
| | - Theodore G Petsas
- Department of Radiology, School of Medicine, University of Patras, Patras, Greece
| | - George S Panayiotakis
- Department of Medical Physics, School of Medicine, University of Patras, Patras, Greece
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Mesinovic J, McMillan LB, Shore-Lorenti C, Zengin A, De Courten B, Ebeling PR, Scott D. Sex-specific associations between insulin resistance and bone parameters in overweight and obese older adults. Clin Endocrinol (Oxf) 2019; 90:680-689. [PMID: 30724369 DOI: 10.1111/cen.13947] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 02/03/2019] [Accepted: 02/04/2019] [Indexed: 02/06/2023]
Abstract
OBJECTIVES To determine sex-specific associations between insulin resistance and bone parameters measured by peripheral quantitative computed tomography in overweight and obese community-dwelling older adults. STUDY DESIGN Cross-sectional study of 79 community-dwelling overweight and obese adults (mean ± SD age 62.8 ± 7.9 years; body mass index 32.3 ± 6.1 kg/m2 ; 58% women). MAIN OUTCOME MEASURES Peripheral quantitative computed tomography assessed distal radius and tibia trabecular volumetric bone mineral density (vBMD) and proximal radius and tibia cortical vBMD, periosteal circumference, endosteal circumference and stress-strain index. The Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) score was calculated from fasting glucose and insulin values. Lean mass was assessed using dual-energy X-ray absorptiometry. Total minutes of moderate and vigorous physical activity (MVPA) were calculated using the Active Australia Survey. RESULTS Men and women in this cohort had no significant differences in fasting glucose and insulin concentrations, HOMA-IR values and diabetes prevalence (all P > 0.05). In women, HOMA-IR was positively correlated with proximal radius periosteal and endosteal circumference (r = 0.331; P = 0.034 and r = 0.325; P = 0.038, respectively). These associations became nonsignificant in multivariable regression analyses; however, HOMA-IR was negatively associated with proximal radius cortical vBMD (B = -4.79; 95% CI -8.66, -0.92) after adjusting for age, lean mass and MVPA. All associations between HOMA-IR and bone parameters became nonsignificant in a sensitivity analysis excluding individuals with diabetes, or self-reported use of glucose-lowering medications. There were no associations between HOMA-IR and bone parameters in men. CONCLUSIONS Homeostatic Model Assessment of Insulin Resistance was negatively associated with radial cortical vBMD in overweight and obese older women, but not in men. Further studies are needed to clarify sex-specific associations between insulin resistance and bone health in overweight and obese older adults.
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Affiliation(s)
- Jakub Mesinovic
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
| | - Lachlan B McMillan
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
| | - Catherine Shore-Lorenti
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
| | - Ayse Zengin
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
| | - Barbora De Courten
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Peter R Ebeling
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), Department of Medicine - Western Health, Melbourne Medical School, The University of Melbourne, St. Albans, Victoria, Australia
| | - David Scott
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), Department of Medicine - Western Health, Melbourne Medical School, The University of Melbourne, St. Albans, Victoria, Australia
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Bantle AE, Bosch TA, Dengel DR, Wang Q, Mashek DG, Chow LS. DXA-Determined Regional Adiposity Relates to Insulin Resistance in a Young Adult Population with Overweight andObesity. J Clin Densitom 2019; 22:287-292. [PMID: 30064815 PMCID: PMC6391218 DOI: 10.1016/j.jocd.2018.06.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 05/31/2018] [Accepted: 06/01/2018] [Indexed: 01/01/2023]
Abstract
Obesity is a well-established risk factor for insulin resistance and type 2 diabetes mellitus, and body fat distribution has important implications for this metabolic risk. In this cross-sectional study, we used dual X-ray absorptiometry body composition data from 123 young adult participants with overweight or obesity, and correlatedwith 2 indices of insulin resistance calculated from oral glucose tolerance tests. Participants were 70% women, with mean (standard error) age 30.1 (0.6) yr, body mass index (BMI) 34.0 (0.6) kg/m2, homeostatic model assessment of insulin resistance (HOMA-IR) of 2.1 (0.2), and Matsuda insulin sensitivity index (Matsuda ISI) of 5.8 (0.4). In women, the strongest correlations were observed with the android-to-gynoid ratio (r = 0.52, p < 0.001 for HOMA-IR; r = -0.46, p < 0.001 for Matsuda ISI), and these correlations remained significant after adjustment for BMI. For men, the strongest correlations were with android fat mass (r = 0.40, p = 0.01 for HOMA-IR; r = -0.37, p = 0.02 for Matsuda ISI). Visceral adipose tissue was correlated with HOMA-IR and Matsuda ISI in women, and only with Matsuda ISI in men. BMI correlated with HOMA-IR and with Matsuda ISI in both women and men. Regional adiposity determined by dual X-ray absorptiometry correlates with indices of insulin resistance in sedentary young adults with overweight and obesity.
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Affiliation(s)
- Anne E Bantle
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
| | - Tyler A Bosch
- College of Education and Human Development, University of Minnesota, Minneapolis, MN, USA
| | - Donald R Dengel
- School of Kinesiology, University of Minnesota, Minneapolis, MN, USA
| | - Qi Wang
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN, USA
| | - Douglas G Mashek
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, University of Minnesota, Minneapolis, MN, USA; Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Lisa S Chow
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, University of Minnesota, Minneapolis, MN, USA
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Berro AJ, Rassy NA, Ahmaidi S, Sabbagh P, Khawaja A, Maalouf G, El Hage R. Physical Performance Variables and Bone Parameters in a Group of Young Overweight and Obese Women. J Clin Densitom 2019; 22:293-299. [PMID: 30352782 DOI: 10.1016/j.jocd.2018.09.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 09/12/2018] [Accepted: 09/18/2018] [Indexed: 01/03/2023]
Abstract
The aim of this study was to explore the relationships between physical performance variables and bone parameters such as bone mineral density (BMD), bone mineral content, hip geometry indices, and trabecular bone score in a group of young overweight and obese adult women. Sixty-eight overweight/obese (body mass index ≥25 kg/m2; 25.5-42.4 kg/m2) young women whose ages range from 18 to 35 yr participated in this study. Body composition and bone outcomes were measured by dual-energy X-ray absorptiometry. Maximum oxygen consumption (VO2 max, in liter per minute) was determined indirectly using a progressive shuttle run test. One-repetition-maximum half-squat was directly measured. Vertical jump was measured and maximum power (P max) of the lower limbs was calculated. Lean mass was positively correlated to whole body (WB) BMD, total hip BMD, femoral neck (FN) BMD, femoral neck cross-sectional area (FN CSA) and femoral neck cross sectional moment of inertia (FN CSMI) (p < 0.05). VO2 max (in liter per minute) and muscle power were positively correlated to WB BMD, total hip BMD, FN BMD, FN CSA, and FN CSMI (p < 0.05). One-repetition-maximum half-squat was positively correlated with lumbar spine trabecular bone score, WB BMD, FN BMD, FN CSA and FN CSMI (p < 0.05). This study suggests that lean mass, vertical jump, VO2 max (liter per minute), muscle power and one-repetition-maximum half squat are positive determinants of BMD and hip geometry indices in young overweight and obese women.
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Affiliation(s)
- Abdel-Jalil Berro
- Department of Physical Education, Faculty of Arts and Social Sciences, University of Balamand, El-Koura, Lebanon; EA-3300, APERE, Sport Sciences Department, University of Picardie Jules Verne, Amiens, France
| | - Nathalie Al Rassy
- Department of Physical Education, Faculty of Arts and Social Sciences, University of Balamand, El-Koura, Lebanon; Laboratory of Pathophysiology of Inflammatory Bone Diseases PMOI EA4490, University of Littoral Opal Coast ULCO, Boulogne sur Mer and University of Lille, Lille, France
| | - Said Ahmaidi
- EA-3300, APERE, Sport Sciences Department, University of Picardie Jules Verne, Amiens, France
| | - Patchina Sabbagh
- Department of Physical Education, Faculty of Arts and Social Sciences, University of Balamand, El-Koura, Lebanon; University of Lille, EA 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, Ronchin, France
| | - Anthony Khawaja
- Department of Physical Education, Faculty of Arts and Social Sciences, University of Balamand, El-Koura, Lebanon; Movement Sport Science and Health Laboratory (M2S), UFR-STAPS, University of Rennes 2, France
| | - Ghassan Maalouf
- Bellevue University Medical Center, Faculty of Medicine, Saint Joseph University, Mansourieh, Lebanon
| | - Rawad El Hage
- Department of Physical Education, Faculty of Arts and Social Sciences, University of Balamand, El-Koura, Lebanon.
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Park IK, Park J, Kim TH, Lee J, Han K, Oh C, Park CH. Non-inferior low-dose coronary computed tomography angiography image quality with knowledge-based iterative model reconstruction for overweight patients. PLoS One 2018; 13:e0209243. [PMID: 30586449 PMCID: PMC6306215 DOI: 10.1371/journal.pone.0209243] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 12/03/2018] [Indexed: 11/29/2022] Open
Abstract
We investigated the feasibility of low-dose coronary computed tomography angiography (CCTA), using a prospective electrocardiogram (ECG)-triggered axial scan protocol, knowledge-based iterative model reconstruction (IMR), and fixed tube current, in overweight subjects. Forty non-overweight (group A; body-mass index [BMI] < 25 kg/m2) and 40 overweight individuals (group B; BMI = 25–30 kg/m2), who underwent CCTA for coronary artery disease screening, were retrospectively and consecutively enrolled. A 64-slice CT scanner was used at 100-kVp tube voltage and 150-mA tube current, and images were reconstructed using IMR techniques. Image noise, attenuation at the aorta, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) at the proximal right and left main coronary arteries (pRCA and LMCA) were calculated. CCTA images were qualitatively evaluated using a four-point scale (1, poor; 4, excellent) and analyzed using a non-inferiority test with a pre-defined non-inferiority margin of -0.2. The mean CCTA radiation dose (Group A: 1.33 ± 0.02 mSv; Group B: 1.35 ± 0.10 mSv; p = 0.151) and mean aortic root CT attenuation values (Group A: 447.9 ± 81.6 HU; Group B: 439.5 ± 63.6 HU; p = 0.571) did not differ significantly between the two groups. The mean noise in groups A and B was 26.0 ± 4.8 HU and 29.2 ± 4.4 HU, respectively (p = 0.005). The noise reduction ratio in the groups, compared to filtered back projection, was 65.0% and 68.1%, respectively. The mean grade of image quality did not differ significantly (3.75 ± 0.04 vs. 3.71 ± 0.04, p = 0.478). Group B CCTA image quality was non-inferior (mean difference = -0.043, 95% CI = -0.162–0.077) to that of Group A. We concluded that low-dose CCTA with prospective ECG-triggering and IMR might be applied to overweight subjects, as well as to normal-weight subjects, by using a fixed tube current without an increase in tube current based on the patient’s body size.
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Affiliation(s)
- In Kyung Park
- Department of Radiology and Research Institute of Radiological Science, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jeffrey Park
- College of Letters and Science, University of California Berkeley, Berkeley, CA, United States of America
| | - Tae Hoon Kim
- Department of Radiology and Research Institute of Radiological Science, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Joohee Lee
- Department of Radiology and Research Institute of Radiological Science, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyunghwa Han
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Chisuk Oh
- Department of Radiology and Research Institute of Radiological Science, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Chul Hwan Park
- Department of Radiology and Research Institute of Radiological Science, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- * E-mail:
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Perlaki G, Molnar D, Smeets PAM, Ahrens W, Wolters M, Eiben G, Lissner L, Erhard P, van Meer F, Herrmann M, Janszky J, Orsi G. Volumetric gray matter measures of amygdala and accumbens in childhood overweight/obesity. PLoS One 2018; 13:e0205331. [PMID: 30335775 PMCID: PMC6193643 DOI: 10.1371/journal.pone.0205331] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 09/24/2018] [Indexed: 11/18/2022] Open
Abstract
Objectives Neuroimaging data suggest that pediatric overweight and obesity are associated with morphological alterations in gray matter (GM) brain structures, but previous studies using mainly voxel-based morphometry (VBM) showed inconsistent results. Here, we aimed to examine the relationship between youth obesity and the volume of predefined reward system structures using magnetic resonance (MR) volumetry. We also aimed to complement volumetry with VBM-style analysis. Methods Fifty-one Caucasian young subjects (32 females; mean age: 13.8±1.9, range: 10.2–16.5 years) were included. Subjects were selected from a subsample of the I.Family study examined in the Hungarian center. A T1-weighted 1 mm3 isotropic resolution image was acquired. Age- and sex-standardized body mass index (zBMI) was assessed at the day of MRI and ~1.89 years (mean±SD: 689±188 days) before the examination. Obesity related GM alterations were investigated using MR volumetry in five predefined brain structures presumed to play crucial roles in body weight regulation (hippocampus, amygdala, accumbens, caudate, putamen), as well as whole-brain and regional VBM. Results The volumes of accumbens and amygdala showed significant positive correlations with zBMI, while their GM densities were inversely related to zBMI. Voxel-based GM mass also showed significant negative correlation with zBMI when investigated in the predefined amygdala region, but this relationship was mediated by GM density. Conclusions Overweight/obesity related morphometric brain differences already seem to be present in children/adolescents. Our work highlights the disparity between volume and VBM-derived measures and that GM mass (combination of volume and density) is not informative in the context of obesity related volumetric changes. To better characterize the association between childhood obesity and GM morphometry, a combination of volumetric segmentation and VBM methods, as well as future longitudinal studies are necessary. Our results suggest that childhood obesity is associated with enlarged structural volumes, but decreased GM density in the reward system.
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Affiliation(s)
- Gabor Perlaki
- MTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, University of Pecs, Medical School, Pecs, Hungary
- * E-mail:
| | - Denes Molnar
- Department of Pediatrics, University of Pecs, Medical School, Pecs, Hungary
| | - Paul A. M. Smeets
- Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Division of Human Nutrition, Wageningen University & Research, Wageningen, Netherlands
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany
| | - Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany
| | - Gabriele Eiben
- Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Biomedicine and Public Health, School of Health and Education, University of Skövde, Skövde, Sweden
| | - Lauren Lissner
- Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Peter Erhard
- Center for Cognitive Sciences, University of Bremen, Bremen, Germany
- Department of Neuropsychology and Behavioral Neurobiology, University of Bremen, Bremen, Germany
| | - Floor van Meer
- Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Manfred Herrmann
- Center for Cognitive Sciences, University of Bremen, Bremen, Germany
- Department of Neuropsychology and Behavioral Neurobiology, University of Bremen, Bremen, Germany
| | - Jozsef Janszky
- MTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, University of Pecs, Medical School, Pecs, Hungary
| | - Gergely Orsi
- MTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
- Department of Neurology, University of Pecs, Medical School, Pecs, Hungary
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Blew RM, Lee VR, Bea JW, Hetherington-Rauth MC, Galons JP, Altbach MI, Lohman TG, Going SB. Validation of Peripheral Quantitative Computed Tomography-Derived Thigh Adipose Tissue Subcompartments in Young Girls Using a 3 T MRI Scanner. J Clin Densitom 2018; 21:583-594. [PMID: 29705002 PMCID: PMC6151299 DOI: 10.1016/j.jocd.2018.03.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 03/14/2018] [Indexed: 12/14/2022]
Abstract
The ability to assess skeletal muscle adipose tissue is important given the negative clinical implications associated with greater fat infiltration of the muscle. Computed tomography and magnetic resonance imaging (MRI) are highly accurate for measuring appendicular soft tissue and muscle composition, but have limitations. Peripheral quantitative computed tomography (pQCT) is an alternative that investigators find valuable because of its low radiation, fast scan time, and comparatively lower costs. The present investigation sought to assess the accuracy of pQCT-derived estimates of total, subcutaneous, skeletal muscle, intermuscular, and calculated intramuscular adipose tissue areas, and muscle density in the midthigh of young girls using the gold standard, 3 T MRI, as the criterion. Cross-sectional data were analyzed for 26 healthy girls aged 9-12 years. Midthigh soft tissue composition was assessed by both pQCT and 3 T MRI. Mean tissue area for corresponding adipose compartments by pQCT and MRI was compared using t tests, regression analysis, and Bland-Altman plots. Muscle density was regressed on MRI skeletal muscle adipose tissue, intermuscular adipose tissue, and intramuscular adipose tissue, each expressed as a percentage of total muscle area. Correlations were high between MRI and pQCT for total adipose tissue (r2 = 0.98), subcutaneous adipose tissue (r2 = 0.95), skeletal muscle adipose tissue (r2 = 0.83), and intermuscular adipose tissue (r2 = 0.82), and pQCT muscle density correlated well with both MRI skeletal muscle adipose tissue (r2 = 0.70) and MRI intermuscular adipose tissue (r2 = 0.70). There was a slight, but statistically significant underestimation by pQCT for total and subcutaneous adipose tissue, whereas no significant difference was observed for skeletal muscle adipose tissue. Both pQCT-estimated intramuscular adipose tissue and muscle density were weakly correlated with MRI-intramuscular adipose tissue. We conclude that pQCT is a valid measurement technique for estimating all adipose subcompartments, except for intramuscular adipose tissue, for the midthigh region in young/adolescent girls.
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Affiliation(s)
- Robert M Blew
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, USA.
| | - Vinson R Lee
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, USA
| | - Jennifer W Bea
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, USA; Department of Medicine, University of Arizona Cancer Center, Tucson, AZ, USA
| | | | | | - Maria I Altbach
- Department of Medical Imaging, University of Arizona, Tucson, Arizona, USA
| | - Timothy G Lohman
- Department of Physiological Sciences, University of Arizona, Tucson, AZ, USA
| | - Scott B Going
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, USA
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Yu S, Zheng J, Zhang L. Craniocervical computed tomography angiography with adaptive iterative dose reduction 3D algorithm and automatic tube current modulation in patients with different body mass indexes. Medicine (Baltimore) 2018; 97:e11841. [PMID: 30200068 PMCID: PMC6133620 DOI: 10.1097/md.0000000000011841] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
The aim of this study was to investigate the feasibility of head and neck computed tomography angiography (CTA) using the 80-kV tube voltage and the adaptive iterative dose reduction (AIDR) 3D algorithm in patients with different body mass indexes (BMIs).From November 2016 to January 2017, 128 consecutive patients scheduled for head and neck CTA examinations were randomized into the 100-kV group (n = 60) and the 80-kV group (n = 68). Both groups used the automatic tube current modulation technique and the AIDR 3D algorithm. The patients were further grouped as slender (BMI < 22 kg/m), normal weight (22 kg/m≤BMI < 25 kg/m), and overweight (BMI ≥25 kg/m). The image quality and the radiation dose of each subgroup were analyzed.The images of the head and neck vessels and the brain tissue obtained with 100 kV were all of diagnostic quality. Slender and normal weight patients imaged with 80 kV also produced images of diagnostic quality. However, 80 kV in the overweight patients failed to produce images of diagnostic quality. The radiation dose in the patients imaged with 80 kV was significantly decreased in comparison with those imaged with 100 kV. The effective dose was 0.36 ± 0.06 and 0.41 ± 0.05 mSv in the slender and normal weight patients imaged with 80 kV.Head and neck CTA scanning with 80 kV, automatic tube current modulation, and AIDR 3D algorithm can produce high quality images with reduced radiation dose in slender or normal weight patients.
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Lahesmaa M, Eriksson O, Gnad T, Oikonen V, Bucci M, Hirvonen J, Koskensalo K, Teuho J, Niemi T, Taittonen M, Lahdenpohja S, U Din M, Haaparanta-Solin M, Pfeifer A, Virtanen KA, Nuutila P. Cannabinoid Type 1 Receptors Are Upregulated During Acute Activation of Brown Adipose Tissue. Diabetes 2018; 67:1226-1236. [PMID: 29650773 DOI: 10.2337/db17-1366] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Accepted: 04/02/2018] [Indexed: 11/13/2022]
Abstract
Activating brown adipose tissue (BAT) could provide a potential approach for the treatment of obesity and metabolic disease in humans. Obesity is associated with upregulation of the endocannabinoid system, and blocking the cannabinoid type 1 receptor (CB1R) has been shown to cause weight loss and to decrease cardiometabolic risk factors. These effects may be mediated partly via increased BAT metabolism, since there is evidence that CB1R antagonism activates BAT in rodents. To investigate the significance of CB1R in BAT function, we quantified the density of CB1R in human and rodent BAT using the positron emission tomography radioligand [18F]FMPEP-d2 and measured BAT activation in parallel with the glucose analog [18F]fluorodeoxyglucose. Activation by cold exposure markedly increased CB1R density and glucose uptake in the BAT of lean men. Similarly, β3-receptor agonism increased CB1R density in the BAT of rats. In contrast, overweight men with reduced BAT activity exhibited decreased CB1R in BAT, reflecting impaired endocannabinoid regulation. Image-guided biopsies confirmed CB1R mRNA expression in human BAT. Furthermore, CB1R blockade increased glucose uptake and lipolysis of brown adipocytes. Our results highlight that CB1Rs are significant for human BAT activity, and the CB1Rs provide a novel therapeutic target for BAT activation in humans.
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Affiliation(s)
- Minna Lahesmaa
- Turku PET Centre, University of Turku, Turku, Finland
- Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Olof Eriksson
- Turku PET Centre, Åbo Akademi, Turku, Finland
- Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Thorsten Gnad
- Institute of Pharmacology and Toxicology, University of Bonn, Bonn, Germany
| | - Vesa Oikonen
- Turku PET Centre, University of Turku, Turku, Finland
| | - Marco Bucci
- Turku PET Centre, University of Turku, Turku, Finland
| | - Jussi Hirvonen
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Radiology, University of Turku, Turku, Finland
| | - Kalle Koskensalo
- Turku PET Centre, University of Turku, Turku, Finland
- Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Jarmo Teuho
- Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Tarja Niemi
- Department of Plastic and General Surgery, Turku University Hospital, Turku, Finland
| | - Markku Taittonen
- Department of Anesthesiology, Turku University Hospital, Turku, Finland
| | | | - Mueez U Din
- Turku PET Centre, University of Turku, Turku, Finland
| | - Merja Haaparanta-Solin
- Turku PET Centre, University of Turku, Turku, Finland
- MediCity Research Laboratories, University of Turku, Turku, Finland
| | - Alexander Pfeifer
- Institute of Pharmacology and Toxicology, University of Bonn, Bonn, Germany
| | - Kirsi A Virtanen
- Turku PET Centre, University of Turku, Turku, Finland
- Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Pirjo Nuutila
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Endocrinology, Turku University Hospital, Turku, Finland
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Felicani C, De Molo C, Stefanescu H, Conti F, Mazzotta E, Gabusi V, Nardi E, Morselli-Labate AM, Andreone P, Serra C. Point quantification elastography in the evaluation of liver elasticity in healthy volunteers: a reliability study based on operator expertise. J Ultrasound 2018; 21:89-98. [PMID: 29790083 DOI: 10.1007/s40477-018-0300-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Accepted: 04/17/2018] [Indexed: 12/17/2022] Open
Abstract
PURPOSE The assessment of liver fibrosis is essential in the management of patients with chronic liver diseases. Liver biopsy is considered the gold standard procedure for this purpose, though the recent development of new elastosonographic techniques to measure liver stiffness (LS) noninvasively is promising. Point quantification elastography (PQE) showed good results but less is known about the level of skill needed to obtain reliable results. The aim of the study was to evaluate the reproducibility of PQE in assessing LS in healthy subjects comparing three operators with different expertise. METHODS Between December 2012 and April 2013, 50 consecutive healthy volunteers (18 males, 32 females), median age 30 years (range 25-66) and BMI 22.4 (range 16.7-33.6) were submitted to PQE (iU22 Philips, Bothell, WA, USA) by three operators: two US and elastography providers (one expert and one with intermediate skill) and a skilled transient elastography (Fibroscan) operator with no expertise in US. Intra- and inter-observer agreements were assessed by intraclass correlation coefficient (ICC). RESULTS PQE measurement was obtained in all subjects by all evaluators. No significant differences of mean liver stiffness were found among operators (P = 0.980). Intra-observer agreement was excellent 0.918 (0.941 for expert, 0.917 for intermediate and 0.888 for novice). The ICC of the inter-observer agreement among the three ratters was excellent (0.882) and was higher in normal than overweight patients (0.923 vs. 0.603; P = 0.011). CONCLUSION PQE is a reliable and reproducible non-invasive method for the assessment of LE, and can be performed also by a non-experienced operator.
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Affiliation(s)
- Cristina Felicani
- Interventional, Diagnostic and Therapeutic Ultrasound Unit, St Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.
| | - Chiara De Molo
- Interventional, Diagnostic and Therapeutic Ultrasound Unit, St Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | - Horia Stefanescu
- Department of Hepatology, Regional Institute of Gastroenterology and Hepatology, Cluj-Napoca, Romania
- Department of Medical and Surgical Sciences, St Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | - Fabio Conti
- Department of Medical and Surgical Sciences, St Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | - Elena Mazzotta
- Interventional, Diagnostic and Therapeutic Ultrasound Unit, St Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | - Veronica Gabusi
- Interventional, Diagnostic and Therapeutic Ultrasound Unit, St Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | - Elena Nardi
- Department of Medical and Surgical Sciences, St Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | | | - Pietro Andreone
- Department of Medical and Surgical Sciences, St Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | - Carla Serra
- Interventional, Diagnostic and Therapeutic Ultrasound Unit, St Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
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Abstract
BACKGROUND High-intensity interval training (HIIT) is promoted as a time-efficient strategy to improve body composition. OBJECTIVE The aim of this meta-analysis was to assess the efficacy of HIIT in reducing total, abdominal, and visceral fat mass in normal-weight and overweight/obese adults. METHODS Electronic databases were searched to identify all related articles on HIIT and fat mass. Stratified analysis was performed using the nature of HIIT (cycling versus running, target intensity), sex and/or body weight, and the methods of measuring body composition. Heterogeneity was also determined RESULTS: A total of 39 studies involving 617 subjects were included (mean age 38.8 years ± 14.4, 52% females). HIIT significantly reduced total (p = 0.003), abdominal (p = 0.007), and visceral (p = 0.018) fat mass, with no differences between the sexes. A comparison showed that running was more effective than cycling in reducing total and visceral fat mass. High-intensity (above 90% peak heart rate) training was more successful in reducing whole body adiposity, while lower intensities had a greater effect on changes in abdominal and visceral fat mass. Our analysis also indicated that only computed tomography scan or magnetic resonance imaging showed significant abdominal and/or visceral fat-mass loss after HIIT interventions. CONCLUSION HIIT is a time-efficient strategy to decrease fat-mass deposits, including those of abdominal and visceral fat mass. There was some evidence of the greater effectiveness of HIIT running versus cycling, but owing to the wide variety of protocols used and the lack of full details about cycling training, further comparisons need to be made. Large, multicenter, prospective studies are required to establish the best HIIT protocols for reducing fat mass according to subject characteristics.
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Affiliation(s)
- Florie Maillard
- Laboratoire des Adaptations Métaboliques à l'Exercice en conditions Physiologiques et Pathologiques (AME2P), Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Bruno Pereira
- Biostatistics Unit (DRCI), University Hospital Clermont-Ferrand, Clermont-Ferrand, France
| | - Nathalie Boisseau
- Laboratoire des Adaptations Métaboliques à l'Exercice en conditions Physiologiques et Pathologiques (AME2P), Université Clermont Auvergne, 63000, Clermont-Ferrand, France.
- CRNH-Auvergne, Clermont-Ferrand, France.
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Caterini JE, Banks L, Wells GD, Cifra B, Slorach C, McCrindle BW, Seed M. Magnetic resonance imaging reveals elevated aortic pulse wave velocity in obese and overweight adolescents. Clin Obes 2017; 7:360-367. [PMID: 28834246 DOI: 10.1111/cob.12206] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Revised: 06/07/2017] [Accepted: 07/07/2017] [Indexed: 12/01/2022]
Abstract
The aortic pulse wave velocity (PWV) measured via cardiac magnetic resonance (CMR) can be used to non-invasively assess changes in arterial stiffness and potential underlying vascular dysfunction. This technique could unmask early arterial dysfunction in overweight and obese youth at risk for cardiovascular disease. We sought to determine the association between vascular stiffness, percentage body fat, body mass index (BMI), and cardiac function in adolescents across the weight spectrum through both CMR and standard applanation tonometry (AT)-based PWV measurements. PWV and left-ventricular cardiac function were assessed using 3.0 T CMR in obese and overweight (OB/OW) participants (n = 12) and controls (n = 7). PWV was also estimated via carotid-femoral AT. OB/OW participants did not differ from healthy-weight controls regarding cardiometabolic risk factors or physical activity levels, but there was a trend towards higher levels of triglycerides in obese/overweight participants (P = 0.07). Mean PWV was higher in obese participants when corrected for age and sex (P = 0.01), and was positively associated with BMI (β = 0.51, P = 0.02). PWV estimated through AT was not significantly different between groups. Cardiac function measured by left-ventricular ejection fraction z-score was inversely associated with mean PWV (β = -0.57, P = 0.026). Increasing arterial stiffness and decreasing cardiac function were evident among our overweight and obese cohort. PWV estimated by CMR could detect early increases in arterial stiffness vs. traditional AT measurements of PWV.
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Affiliation(s)
- J E Caterini
- Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, Canada
| | - L Banks
- Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, Canada
- Labatt Family Heart Centre, Hospital for Sick Children, Toronto, Canada
| | - G D Wells
- Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, Canada
- Translational Medicine, Hospital for Sick Children, Toronto, Canada
| | - B Cifra
- Labatt Family Heart Centre, Hospital for Sick Children, Toronto, Canada
| | - C Slorach
- Labatt Family Heart Centre, Hospital for Sick Children, Toronto, Canada
| | - B W McCrindle
- Labatt Family Heart Centre, Hospital for Sick Children, Toronto, Canada
- Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - M Seed
- Labatt Family Heart Centre, Hospital for Sick Children, Toronto, Canada
- Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Canada
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Oddstig J, Hindorf C, Hedeer F, Jögi J, Arheden H, Hansson MJ, Engblom H. The radiation dose to overweighted patients undergoing myocardial perfusion SPECT can be significantly reduced: validation of a linear weight-adjusted activity administration protocol. J Nucl Cardiol 2017; 24:1912-1921. [PMID: 27506700 DOI: 10.1007/s12350-016-0628-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Accepted: 06/25/2016] [Indexed: 02/03/2023]
Abstract
BACKGROUND Large body size can cause a higher proportion of emitted photons being attenuated within the patient. Therefore, clinical myocardial perfusion SPECT (MPS) protocols often include unproportionally higher radioisotope activity to obese patients. The aim was to evaluate if a linear weight-adjusted low-dose protocol can be applied to obese patients and thereby decrease radiation exposure. METHODS AND RESULT Two hundred patients (>110 kg, BMI 18-41, [n = 69], ≤ 110 kg, BMI 31-58, [n = 131]) underwent 99mTc-tetrofosmin stress examination on a Cadmium Zinc Telluride or a conventional gamma camera using new generations of reconstruction algorithm (Resolution Recovery). Patients <110 kg were administered 2.5 MBq/kg, patients between 110 and 120 kg received 430 MBq and patients >120 kg received 570 MBq according to clinical routine. Patients >110 kg had 130% total number of counts in the images compared to patients <110 kg. Recalculating the counts to correspond to an administered activity of 2.5 MBq/kg resulted in similar number of counts across the groups. Image analyses in a subgroup with images corresponding to high activity and 2.5 MBq/kg showed no difference in image quality or ischemia quantification. CONCLUSION Linear low-dose weight-adjusted protocol of 2.5 MBq/kg in MPS can be applied over a large weight span without loss of counts or image quality, resulting in a significant reduction in radiation exposure to obese patients.
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Affiliation(s)
- Jenny Oddstig
- Department of Radiation Physics, Skåne University Hospital and Lund University, Lund, Sweden
| | - Cecilia Hindorf
- Department of Radiation Physics, Skåne University Hospital and Lund University, Lund, Sweden
| | - Fredrik Hedeer
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital and Lund University, 221 85, Lund, Sweden
| | - Jonas Jögi
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital and Lund University, 221 85, Lund, Sweden
| | - Håkan Arheden
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital and Lund University, 221 85, Lund, Sweden
| | - Magnus J Hansson
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital and Lund University, 221 85, Lund, Sweden
| | - Henrik Engblom
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital and Lund University, 221 85, Lund, Sweden.
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Wójtowicz J, Łempicka A, Łuczyński W, Szczepański W, Zomerfeld A, Semeran K, Bossowski A. Central aortic pressure, arterial stiffness and echocardiographic parameters of children with overweight/obesity and arterial hypertension. ADV CLIN EXP MED 2017; 26:1399-1404. [PMID: 29442461 DOI: 10.17219/acem/65485] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND A non-invasive estimation of central aortic pressure and echocardiographic parameters, and appropriate interpretation thereof make it possible to determine the status of the vascular wall and myocardium. These parameters are early markers of unfavorable remodeling of the cardiovascular system. OBJECTIVES The aim of this study was to analyze the central aortic pressure and echocardiographic parameters of overweight/obese children (with or without concomitant arterial hypertension). MATERIAL AND METHODS The study included 84 children (mean age: 15 years) - 45 with primary arterial hypertension, 39 normotensive, and 38 controls. Central aortic systolic (cSys) and diastolic (cDia) pressures, pulse wave augmentation index (Aix@75), peripheral resistance, pulse wave reflection and pulse wave velocity (PWV) were determined by means of brachial oscillometry. A number of echocardiographic parameters were recorded. RESULTS Obese children with arterial hypertension showed the highest values of cSys, cDia and PWV, as well as interventricular septal end-diastolic thickness (IVS), left atrial diameter (LAD), left ventricular mass index (LVMI), elongation index and cardiac output (CO). Patient age, cSYS, cDIA and LAD were identified as significant predictors of PWV. The groups did not differ in terms of Aix@75, peripheral resistance and pulse wave reflection values. CONCLUSIONS Children with overweight/obesity present with elevated values of cSys, PWV, LVMI, LAD and CO. The risk of these abnormalities is further increased due to concomitant arterial hypertension.
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Affiliation(s)
- Jerzy Wójtowicz
- Department of Pediatrics, Endocrinology, Diabetology with Cardiology Divisions, Medical University of Bialystok, Poland
| | - Aleksandra Łempicka
- Department of Pediatrics, Endocrinology, Diabetology with Cardiology Divisions, Medical University of Bialystok, Poland
| | - Włodzimierz Łuczyński
- Department of Pediatrics, Endocrinology, Diabetology with Cardiology Divisions, Medical University of Bialystok, Poland
| | - Wojciech Szczepański
- Department of Pediatrics, Endocrinology, Diabetology with Cardiology Divisions, Medical University of Bialystok, Poland
| | - Aleksandra Zomerfeld
- Department of Pediatrics, Endocrinology, Diabetology with Cardiology Divisions, Medical University of Bialystok, Poland
| | - Kornel Semeran
- Department of Pediatrics, Endocrinology, Diabetology with Cardiology Divisions, Medical University of Bialystok, Poland
| | - Artur Bossowski
- Department of Pediatrics, Endocrinology, Diabetology with Cardiology Divisions, Medical University of Bialystok, Poland
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Abstract
PURPOSE OF REVIEW Quetelet reported in the nineteenth century that body weight varies across adults with the square of height. Quetelet's index, now known as BMI, is accepted by most health organizations as a first-level measure of body fat and as a screening tool for diagnosing excess adiposity. Modern imaging methods now, however, indicate that BMI has limited predictive value for estimating body fat and lean mass at the individual level. The use of BMI as a measure of body composition in the clinical setting should therefore be challenged. RECENT FINDINGS Recent studies enrolling cancer and surgical patients reported discrepant outcomes when BMI was used as a body composition surrogate. Sarcopenia, loss of muscle mass and function, which affects the elderly and those with chronic and acute diseases, is not accurately diagnosed with BMI. The distribution of adipose tissue is not characterized by BMI, specific measures of which have greater predictive value for metabolic impairments and clinical outcomes. SUMMARY BMI, as the traditional tool for assessing malnutrition and obesity, is not appropriate to accurately differentiate between important body weight components and therefore should not be used for making clinically important decisions at the individual patient level.
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Affiliation(s)
- Maria Cristina Gonzalez
- aPost-graduate Program in Health and Behavior, Catholic University of Pelotas, Pelotas, RS, BrazilbPennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USAcDepartment of Surgery, Federal University of Minas Gerais Medical School, Belo Horizonte, MG, Brazil
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Chabanova E, Fonvig CE, Bøjsøe C, Holm JC, Thomsen HS. 1H MRS Assessment of Hepatic Fat Content: Comparison Between Normal- and Excess-weight Children and Adolescents. Acad Radiol 2017; 24:982-987. [PMID: 28462823 DOI: 10.1016/j.acra.2017.02.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 02/13/2017] [Accepted: 02/14/2017] [Indexed: 12/31/2022]
Abstract
RATIONALE AND OBJECTIVES The purpose of the present study was to obtain a cutoff value of liver fat content for the diagnosis of hepatic steatosis by comparing magnetic resonance (MR) spectroscopy results in children and adolescents with normal and excess weight. MATERIALS AND METHODS The study included 420 children and adolescents (91 normal-weight, 99 overweight, and 230 obese) 8-18 years of age. Proton magnetic resonance spectroscopy was performed with a 3T MR system using point resolved spectroscopy sequence with series echo times. RESULTS The mean absolute mass concentration of liver fat was obtained: 0.5 ± 0.04% in normal-weight boys; 0.5 ± 0.03% in normal-weight girls; 0.9 ± 0.16% in boys with overweight; 1.1 ± 0.24% in girls with overweight; 1.7 ± 0.24% in boys with obesity; and 1.4 ± 0.21% in girls with obesity. The cutoff value of absolute mass concentration of liver fat for hepatic steatosis was found to be 1.5%. Based on this cutoff value, hepatic steatosis was diagnosed in 16% of boys with overweight, 11% of girls with overweight, 32% of boys with obesity, and 27% of girls with obesity. CONCLUSIONS Proton magnetic resonance spectroscopy was successfully applied to obtain the cutoff value of absolute mass concentration of liver fat for the diagnosis of hepatic steatosis in children and adolescents. Children and adolescents with obesity have higher risk of hepatic steatosis than their peers with overweight.
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Affiliation(s)
- Elizaveta Chabanova
- Department of Diagnostic Radiology, Copenhagen University Hospital Herlev Gentofte, Herlev Ringvej 75, DK-2730 Herlev, Denmark.
| | - Cilius Esmann Fonvig
- The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark; The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Copenhagen, Denmark
| | - Christine Bøjsøe
- The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark; The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Copenhagen, Denmark
| | - Jens-Christian Holm
- The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark; The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Copenhagen, Denmark; Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik S Thomsen
- Department of Diagnostic Radiology, Copenhagen University Hospital Herlev Gentofte, Herlev Ringvej 75, DK-2730 Herlev, Denmark; Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
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Kouda K, Nakamura H, Ohara K, Fujita Y, Iki M. Increased Ratio of Trunk-to-Appendicular Fat and Decreased Adiponectin: A Population-Based Study of School Children in Hamamatsu, Japan. J Clin Densitom 2017; 20:66-72. [PMID: 26655234 DOI: 10.1016/j.jocd.2015.10.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Revised: 10/27/2015] [Accepted: 10/30/2015] [Indexed: 01/13/2023]
Abstract
Very few epidemiological studies have examined the relative impact of visceral fat and subcutaneous fat on serum adiponectin levels. Trunk-to-extremity fat ratio is reportedly a better surrogate for visceral fat than for subcutaneous fat. In the present study, we investigated the association between adiponectin and trunk-to-appendicular fat ratio (TAR) in a school population. The source population was all fifth graders (799 pupils) enrolled in the 2 elementary schools in Hamamatsu, Japan. Of the source population, we analyzed cross-sectional data from 609 children (mean age: 11.2 yr). TAR was evaluated by dual-energy X-ray absorptiometry and calculated as trunk fat mass divided by appendicular (arms and legs) fat mass. After stratification by tertiles of total body fat, multiple regression analysis was used to examine the relationships between adiponectin and TAR adjusted for potential confounding factors. In the highest tertile of total body fat, increasing TARs were significantly (p < 0.05) associated with decreasing serum adiponectin levels after stratification by total body fat (β = -0.32 in boys; β = -0.31 in girls). In the second tertile of total body fat, TAR in girls also showed significant inverse relationships with serum adiponectin levels (β = -0.27). Data from this population-based study demonstrated that an increased proportion of trunk fat is associated with decreased adiponectin in relatively overweight children, and also demonstrated that girls with a normal volume of body fat that follows a more centralized distribution show decreased adiponectin.
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Affiliation(s)
- Katsuyasu Kouda
- Department of Public Health, Kinki University Faculty of Medicine, Osaka-Sayama, Japan.
| | - Harunobu Nakamura
- Department of Health Promotion and Education, Graduate School of Human Development and Environment, Kobe University, Kobe, Japan
| | - Kumiko Ohara
- Department of Health Promotion and Education, Graduate School of Human Development and Environment, Kobe University, Kobe, Japan
| | - Yuki Fujita
- Department of Public Health, Kinki University Faculty of Medicine, Osaka-Sayama, Japan
| | - Masayuki Iki
- Department of Public Health, Kinki University Faculty of Medicine, Osaka-Sayama, Japan
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Romagnoli E, Lubrano C, Carnevale V, Costantini D, Nieddu L, Morano S, Migliaccio S, Gnessi L, Lenzi A. Assessment of trabecular bone score (TBS) in overweight/obese men: effect of metabolic and anthropometric factors. Endocrine 2016; 54:342-347. [PMID: 26815904 DOI: 10.1007/s12020-016-0857-1] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2015] [Accepted: 01/02/2016] [Indexed: 12/19/2022]
Abstract
The "trabecular bone score" (TBS) indirectly explores bone quality, independently of bone mineral density (BMD). We investigated the effects of anthropometric and metabolic parameters on TBS in 87 overweight/obese men. We assessed BMD and TBS by DXA, and some parameters of glucose metabolism, sex-and calciotropic hormone levels. Regression models were adjusted for either age and BMI, or age and waist circumference, or age and waist/hip ratio, also considering BMI >35 (y/n) and metabolic syndrome (MS) (y/n). Correlations between TBS and parameters studied were higher when correcting for waist circumference, although not significant in subjects with BMI >35. The analysis of covariance showed that the same model always had a higher adjusted r-square index. BMD at lumbar spine and total hip, fasting glucose, bioavailable testosterone, and sex hormone-binding globulin are the only covariates having a significant effect (p < 0.05) on the variations of TBS. The presence of MS negatively affected only the association between TBS and BMD at total hip. We did not find any significant effect of BMI >35 on TBS values or significant interaction terms between each covariate and either BMI >35 or the presence of MS. Obesity negatively affected TBS, despite unchanged BMD. Alterations of glucose homeostasis and sex hormone levels seem to influence this relationship, while calciotropic hormones have no role. The effect of waist circumference on TBS is more pronounced than that of BMI.
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Affiliation(s)
- Elisabetta Romagnoli
- Department of Experimental Medicine, Medical Pathophysiology, Food and Science and Endocrinology Section, "Sapienza" University of Rome, Rome, Italy.
| | - Carla Lubrano
- Department of Experimental Medicine, Medical Pathophysiology, Food and Science and Endocrinology Section, "Sapienza" University of Rome, Rome, Italy
| | - Vincenzo Carnevale
- Unit of Internal Medicine, ''Casa Sollievo della Sofferenza'' Hospital I.R.C.C.S., San Giovanni Rotondo, FG, Italy
| | - Daniela Costantini
- Department of Experimental Medicine, Medical Pathophysiology, Food and Science and Endocrinology Section, "Sapienza" University of Rome, Rome, Italy
| | | | - Susanna Morano
- Department of Experimental Medicine, Medical Pathophysiology, Food and Science and Endocrinology Section, "Sapienza" University of Rome, Rome, Italy
| | - Silvia Migliaccio
- Endocrinology Unit, Department of Movement, Human and Health Sciences, University of "Foro Italico", Rome, Italy
| | - Lucio Gnessi
- Department of Experimental Medicine, Medical Pathophysiology, Food and Science and Endocrinology Section, "Sapienza" University of Rome, Rome, Italy
| | - Andrea Lenzi
- Department of Experimental Medicine, Medical Pathophysiology, Food and Science and Endocrinology Section, "Sapienza" University of Rome, Rome, Italy
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Legget KT, Wylie KP, Cornier MA, Melanson EL, Paschall CJ, Tregellas JR. Exercise-related changes in between-network connectivity in overweight/obese adults. Physiol Behav 2016; 158:60-7. [PMID: 26921099 PMCID: PMC4803578 DOI: 10.1016/j.physbeh.2016.02.031] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2015] [Revised: 02/15/2016] [Accepted: 02/22/2016] [Indexed: 01/24/2023]
Abstract
Understanding how exercise affects communication across the brain in overweight/obese individuals may provide insight into mechanisms of weight loss and maintenance. In the current study, we examined the effects of a 6-month exercise program in 11 overweight/obese individuals (mean BMI: 33.6±1.4mg/kg(2); mean age: 38.2±3.2years) on integrative brain "hubs," which are areas with high levels of connectivity to multiple large-scale networks thought to play an important role in multimodal integration among brain regions. These integrative hubs were identified with a recently developed between-network connectivity (BNC) metric, using functional magnetic resonance imaging (fMRI). BNC utilizes a multiple regression analysis approach to assess relationships between the time series of large-scale functionally-connected brain networks (identified using independent components analysis) and the time series of each individual voxel in the brain. This approach identifies brain regions with high between-network interaction, i.e., areas with high levels of connectivity to many large-scale networks. Changes in BNC following exercise were determined using paired t-tests, with results considered significant at a whole-brain level if they exceeded a voxel-wise threshold of p<0.01 and cluster-level family-wise error (FWE) correction for multiple comparisons of p<0.05. Following the intervention, BNC in the posterior cingulate cortex (PCC) was significantly reduced (p<0.001). The changes driving the observed effects were explored using Granger causality, finding significant reductions in both outgoing causal flow from the PCC to a number of networks (p<0.05; language network, visual network, sensorimotor network, left executive control network, basal ganglia network, posterior default mode network), in addition to reductions in ingoing causal flow to the PCC from a number of networks (p<0.05; ventral default mode network, language network, sensorimotor network, basal ganglia network). Change in BNC was related to changes in aerobic fitness level (VO2 max; p=0.008) and perceived hunger (Three Factor Eating Questionnaire; p=0.040). Overall, the impact of exercise on communication between large-scale networks may contribute to individual responsivity to exercise.
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Affiliation(s)
- Kristina T Legget
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States.
| | - Korey P Wylie
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States
| | - Marc-Andre Cornier
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States; Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Edward L Melanson
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States; Division of Geriatric Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States
| | - Courtnie J Paschall
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States
| | - Jason R Tregellas
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, United States; Research Service, VA Medical Center, Denver, CO, United States
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50
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Larsen BA, Wassel CL, Kritchevsky SB, Strotmeyer ES, Criqui MH, Kanaya AM, Fried LF, Schwartz AV, Harris TB, Ix JH. Association of Muscle Mass, Area, and Strength With Incident Diabetes in Older Adults: The Health ABC Study. J Clin Endocrinol Metab 2016; 101:1847-55. [PMID: 26930180 PMCID: PMC4880161 DOI: 10.1210/jc.2015-3643] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
CONTEXT Skeletal muscle plays a key role in glucose regulation, yet the association between muscle quantity or quality and the risk of developing type 2 diabetes has not been explored. OBJECTIVE The objective of the study was to assess the association between muscle quantity and strength and incident diabetes and to explore whether this association differs by body mass index (BMI) category. DESIGN AND SETTING Participants were 2166 older adults in the Health, Aging, and Body Composition Study who were free of diabetes at baseline (1997–1998). Computed tomography and dual-energy x-ray absorptiometry were used to measure abdominal and thigh muscle area and total body lean mass, respectively. Strength was quantified by grip and knee extensions. MAIN OUTCOME MEASURE Incident diabetes, defined as fasting glucose of 126 mg/dL or greater, a physician's diagnosis, and/or the use of hypoglycemic medication were measured. RESULTS After a median 11.3 years of follow-up, there were 265 incident diabetes cases (12.2%). In fully adjusted models, no association was found between muscle or strength measures and incident diabetes (for all, P > .05). For women, there was a significant interaction with BMI category for both abdominal and thigh muscle, such that greater muscle predicted lower risk of incident diabetes for normal-weight women (hazard ratio 0.37 [0.17–0.83] and 0.58 [0.27–1.27] per SD, respectively) and a greater risk for overweight and obese women (hazard ratio 1.23 [0.98–1.54] and 1.28 [1.00–1.64], respectively). No significant interactions by BMI category existed for strength measures or any measures for men (for all, P > .05). CONCLUSIONS Greater muscle area is associated with a lower risk of incident diabetes for older normal-weight women but not for men or overweight women.
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Affiliation(s)
- Britta A Larsen
- Department of Family Medicine and Public Health (B.A.L., M.H.C., I.X.), and Department of Medicine (J.H.I.), University of California, San Diego, San Diego, California 92093-0628; Department of Pathology and Laboratory Medicine (C.L.W.), College of Medicine, University of Vermont, Burlington, Vermont 05446; Wake Forest University and School of Medicine (S.B.K.), Winston-Salem, North Carolina 27157; Graduate School of Public Health (E.S.S.), University of Pittsburgh, Pittsburgh, Pennsylvania 15219; Division of General Internal Medicine (A.M.K.), Department of Epidemiology and Biostatistics (A.V.S.), University of California, San Francisco, San Francisco, California 94143; University of Pittsburgh School of Medicine and Veterans Affairs Pittsburgh Healthcare System (L.F.F.), Pittsburgh, Pennsylvania 15261; and National Institute on Aging (T.B.H.), Bethesda, Maryland 20892
| | - Christina L Wassel
- Department of Family Medicine and Public Health (B.A.L., M.H.C., I.X.), and Department of Medicine (J.H.I.), University of California, San Diego, San Diego, California 92093-0628; Department of Pathology and Laboratory Medicine (C.L.W.), College of Medicine, University of Vermont, Burlington, Vermont 05446; Wake Forest University and School of Medicine (S.B.K.), Winston-Salem, North Carolina 27157; Graduate School of Public Health (E.S.S.), University of Pittsburgh, Pittsburgh, Pennsylvania 15219; Division of General Internal Medicine (A.M.K.), Department of Epidemiology and Biostatistics (A.V.S.), University of California, San Francisco, San Francisco, California 94143; University of Pittsburgh School of Medicine and Veterans Affairs Pittsburgh Healthcare System (L.F.F.), Pittsburgh, Pennsylvania 15261; and National Institute on Aging (T.B.H.), Bethesda, Maryland 20892
| | - Stephen B Kritchevsky
- Department of Family Medicine and Public Health (B.A.L., M.H.C., I.X.), and Department of Medicine (J.H.I.), University of California, San Diego, San Diego, California 92093-0628; Department of Pathology and Laboratory Medicine (C.L.W.), College of Medicine, University of Vermont, Burlington, Vermont 05446; Wake Forest University and School of Medicine (S.B.K.), Winston-Salem, North Carolina 27157; Graduate School of Public Health (E.S.S.), University of Pittsburgh, Pittsburgh, Pennsylvania 15219; Division of General Internal Medicine (A.M.K.), Department of Epidemiology and Biostatistics (A.V.S.), University of California, San Francisco, San Francisco, California 94143; University of Pittsburgh School of Medicine and Veterans Affairs Pittsburgh Healthcare System (L.F.F.), Pittsburgh, Pennsylvania 15261; and National Institute on Aging (T.B.H.), Bethesda, Maryland 20892
| | - Elsa S Strotmeyer
- Department of Family Medicine and Public Health (B.A.L., M.H.C., I.X.), and Department of Medicine (J.H.I.), University of California, San Diego, San Diego, California 92093-0628; Department of Pathology and Laboratory Medicine (C.L.W.), College of Medicine, University of Vermont, Burlington, Vermont 05446; Wake Forest University and School of Medicine (S.B.K.), Winston-Salem, North Carolina 27157; Graduate School of Public Health (E.S.S.), University of Pittsburgh, Pittsburgh, Pennsylvania 15219; Division of General Internal Medicine (A.M.K.), Department of Epidemiology and Biostatistics (A.V.S.), University of California, San Francisco, San Francisco, California 94143; University of Pittsburgh School of Medicine and Veterans Affairs Pittsburgh Healthcare System (L.F.F.), Pittsburgh, Pennsylvania 15261; and National Institute on Aging (T.B.H.), Bethesda, Maryland 20892
| | - Michael H Criqui
- Department of Family Medicine and Public Health (B.A.L., M.H.C., I.X.), and Department of Medicine (J.H.I.), University of California, San Diego, San Diego, California 92093-0628; Department of Pathology and Laboratory Medicine (C.L.W.), College of Medicine, University of Vermont, Burlington, Vermont 05446; Wake Forest University and School of Medicine (S.B.K.), Winston-Salem, North Carolina 27157; Graduate School of Public Health (E.S.S.), University of Pittsburgh, Pittsburgh, Pennsylvania 15219; Division of General Internal Medicine (A.M.K.), Department of Epidemiology and Biostatistics (A.V.S.), University of California, San Francisco, San Francisco, California 94143; University of Pittsburgh School of Medicine and Veterans Affairs Pittsburgh Healthcare System (L.F.F.), Pittsburgh, Pennsylvania 15261; and National Institute on Aging (T.B.H.), Bethesda, Maryland 20892
| | - Alka M Kanaya
- Department of Family Medicine and Public Health (B.A.L., M.H.C., I.X.), and Department of Medicine (J.H.I.), University of California, San Diego, San Diego, California 92093-0628; Department of Pathology and Laboratory Medicine (C.L.W.), College of Medicine, University of Vermont, Burlington, Vermont 05446; Wake Forest University and School of Medicine (S.B.K.), Winston-Salem, North Carolina 27157; Graduate School of Public Health (E.S.S.), University of Pittsburgh, Pittsburgh, Pennsylvania 15219; Division of General Internal Medicine (A.M.K.), Department of Epidemiology and Biostatistics (A.V.S.), University of California, San Francisco, San Francisco, California 94143; University of Pittsburgh School of Medicine and Veterans Affairs Pittsburgh Healthcare System (L.F.F.), Pittsburgh, Pennsylvania 15261; and National Institute on Aging (T.B.H.), Bethesda, Maryland 20892
| | - Linda F Fried
- Department of Family Medicine and Public Health (B.A.L., M.H.C., I.X.), and Department of Medicine (J.H.I.), University of California, San Diego, San Diego, California 92093-0628; Department of Pathology and Laboratory Medicine (C.L.W.), College of Medicine, University of Vermont, Burlington, Vermont 05446; Wake Forest University and School of Medicine (S.B.K.), Winston-Salem, North Carolina 27157; Graduate School of Public Health (E.S.S.), University of Pittsburgh, Pittsburgh, Pennsylvania 15219; Division of General Internal Medicine (A.M.K.), Department of Epidemiology and Biostatistics (A.V.S.), University of California, San Francisco, San Francisco, California 94143; University of Pittsburgh School of Medicine and Veterans Affairs Pittsburgh Healthcare System (L.F.F.), Pittsburgh, Pennsylvania 15261; and National Institute on Aging (T.B.H.), Bethesda, Maryland 20892
| | - Ann V Schwartz
- Department of Family Medicine and Public Health (B.A.L., M.H.C., I.X.), and Department of Medicine (J.H.I.), University of California, San Diego, San Diego, California 92093-0628; Department of Pathology and Laboratory Medicine (C.L.W.), College of Medicine, University of Vermont, Burlington, Vermont 05446; Wake Forest University and School of Medicine (S.B.K.), Winston-Salem, North Carolina 27157; Graduate School of Public Health (E.S.S.), University of Pittsburgh, Pittsburgh, Pennsylvania 15219; Division of General Internal Medicine (A.M.K.), Department of Epidemiology and Biostatistics (A.V.S.), University of California, San Francisco, San Francisco, California 94143; University of Pittsburgh School of Medicine and Veterans Affairs Pittsburgh Healthcare System (L.F.F.), Pittsburgh, Pennsylvania 15261; and National Institute on Aging (T.B.H.), Bethesda, Maryland 20892
| | - Tamara B Harris
- Department of Family Medicine and Public Health (B.A.L., M.H.C., I.X.), and Department of Medicine (J.H.I.), University of California, San Diego, San Diego, California 92093-0628; Department of Pathology and Laboratory Medicine (C.L.W.), College of Medicine, University of Vermont, Burlington, Vermont 05446; Wake Forest University and School of Medicine (S.B.K.), Winston-Salem, North Carolina 27157; Graduate School of Public Health (E.S.S.), University of Pittsburgh, Pittsburgh, Pennsylvania 15219; Division of General Internal Medicine (A.M.K.), Department of Epidemiology and Biostatistics (A.V.S.), University of California, San Francisco, San Francisco, California 94143; University of Pittsburgh School of Medicine and Veterans Affairs Pittsburgh Healthcare System (L.F.F.), Pittsburgh, Pennsylvania 15261; and National Institute on Aging (T.B.H.), Bethesda, Maryland 20892
| | - Joachim H Ix
- Department of Family Medicine and Public Health (B.A.L., M.H.C., I.X.), and Department of Medicine (J.H.I.), University of California, San Diego, San Diego, California 92093-0628; Department of Pathology and Laboratory Medicine (C.L.W.), College of Medicine, University of Vermont, Burlington, Vermont 05446; Wake Forest University and School of Medicine (S.B.K.), Winston-Salem, North Carolina 27157; Graduate School of Public Health (E.S.S.), University of Pittsburgh, Pittsburgh, Pennsylvania 15219; Division of General Internal Medicine (A.M.K.), Department of Epidemiology and Biostatistics (A.V.S.), University of California, San Francisco, San Francisco, California 94143; University of Pittsburgh School of Medicine and Veterans Affairs Pittsburgh Healthcare System (L.F.F.), Pittsburgh, Pennsylvania 15261; and National Institute on Aging (T.B.H.), Bethesda, Maryland 20892
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