Quantification of adiposity in small rodents using micro-CT.

Non-invasive three-dimensional imaging of live rodents is a powerful research tool that has become critical for advances in many biomedical fields. For investigations into adipose development, obesity, or diabetes, accurate and precise techniques that quantify adiposity in vivo are critical. Because total body fat mass does not accurately predict health risks associated with the metabolic syndrome, imaging modalities should be able to stratify total adiposity into subcutaneous and visceral adiposity. Micro-computed tomography (micro-CT) acquires high-resolution images based on the physical density of the material and can readily discriminate between subcutaneous and visceral fat. Here, a micro-CT based method to image the adiposity of live rodents is described. An automated and validated algorithm to quantify the volume of discrete fat deposits from the computed tomography is available. Data indicate that scanning the abdomen provides sufficient information to estimate total body fat. Very high correlations between micro-CT determined adipose volumes and the weight of explanted fat pads demonstrate that micro-CT can accurately monitor site-specific changes in adiposity. Taken together, in vivo micro-CT is a non-invasive, highly quantitative imaging modality with greater resolution and selectivity, but potentially lower throughput, than many other methods to precisely determine total and regional adipose volumes and fat infiltration in live rodents.

[1]  R. Semelka,et al.  Accurate quantification of visceral adipose tissue (VAT) using water‐saturation MRI and computer segmentation: Preliminary results , 2006, Journal of magnetic resonance imaging : JMRI.

[2]  M. Desai,et al.  Obesity is associated with macrophage accumulation in adipose tissue. , 2003, The Journal of clinical investigation.

[3]  J. Seidell,et al.  Imaging techniques for measuring adipose-tissue distribution--a comparison between computed tomography and 1.5-T magnetic resonance. , 1990, The American journal of clinical nutrition.

[4]  M. Heiman,et al.  Quantitative magnetic resonance (QMR) method for bone and whole-body-composition analysis , 2003, Analytical and bioanalytical chemistry.

[5]  Steven K. Boyd,et al.  A Novel 3-D Image-Based Morphological Method for Phenotypic Analysis , 2008, IEEE Transactions on Biomedical Engineering.

[6]  Rik Huiskes,et al.  No effects of in vivo micro‐CT radiation on structural parameters and bone marrow cells in proximal tibia of wistar rats detected after eight weekly scans , 2007, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[7]  Svetlana Lublinsky,et al.  Automated Separation of Visceral and Subcutaneous Adiposity in In Vivo Microcomputed Tomographies of Mice , 2009, Journal of Digital Imaging.

[8]  T. Nakata,et al.  Visceral Obesity in Japanese Patients with Metabolic Syndrome: Reappraisal of Diagnostic Criteria by CT Scan , 2007, Hypertension Research.

[9]  Jason U Tilan,et al.  Neuropeptide Y acts directly in the periphery on fat tissue and mediates stress-induced obesity and metabolic syndrome , 2007, Nature Medicine.

[10]  W. Miller,et al.  TLD assessment of mouse dosimetry during microCT imaging. , 2008, Medical physics.

[11]  L Dalla Palma,et al.  Noninvasive in vivo quantitative assessment of fat content in human liver. , 1997, Journal of hepatology.

[12]  Svetlana Lublinsky,et al.  An Automated Algorithm to Detect the Trabecular-Cortical Bone Interface in Micro-Computed Tomographic Images , 2007, Calcified Tissue International.

[13]  D. Reed,et al.  Forty mouse strain survey of body composition , 2007, Physiology & Behavior.

[14]  D W Holdsworth,et al.  Fundamental image quality limits for microcomputed tomography in small animals. , 2003, Medical physics.

[15]  G. Brockmann,et al.  Using mouse models to dissect the genetics of obesity. , 2002, Trends in genetics : TIG.

[16]  S. Curley,et al.  Comparison of CT methods for determining the fat content of the liver. , 2007, AJR. American journal of roentgenology.

[17]  K. Sjögren,et al.  Body fat content can be predicted in vivo in mice using a modified dual-energy X-ray absorptiometry technique. , 2001, The Journal of nutrition.

[18]  Scott K Holland,et al.  Using a phantom to compare MR techniques for determining the ratio of intraabdominal to subcutaneous adipose tissue. , 2003, AJR. American journal of roentgenology.

[19]  Wolfhard Semmler,et al.  Volumetric computed tomography (VCT): a new technology for noninvasive, high-resolution monitoring of tumor angiogenesis , 2004, Nature Medicine.

[20]  Steven K Boyd,et al.  Radiation effects on bone architecture in mice and rats resulting from in vivo micro-computed tomography scanning. , 2008, Medical engineering & physics.

[21]  C. Ohlsson,et al.  Mature-Onset Obesity in Interleukin-1 Receptor I Knockout Mice , 2006, Diabetes.

[22]  J. Seidell,et al.  Reproducibility of fat area measurements in young, non-obese subjects by computerized analysis of magnetic resonance images , 1997, International Journal of Obesity.

[23]  Shumei S. Sun,et al.  Visceral adiposity and its anatomical distribution as predictors of the metabolic syndrome and cardiometabolic risk factor levels. , 2008, The American journal of clinical nutrition.

[24]  Udo Hoffmann,et al.  Abdominal Visceral and Subcutaneous Adipose Tissue Compartments: Association With Metabolic Risk Factors in the Framingham Heart Study , 2007, Circulation.

[25]  C. Tiribelli,et al.  Fatty Infiltration of the Liver: Quantification by 1H Localized Magnetic Resonance Spectroscopy and Comparison with Computed Tomography , 1993, Investigative radiology.

[26]  C T Rubin,et al.  In vivo quantification of subcutaneous and visceral adiposity by micro-computed tomography in a small animal model. , 2009, Medical engineering & physics.

[27]  Yu Chiba,et al.  Relationship between Visceral Fat and Cardiovascular Disease Risk Factors: The Tanno and Sobetsu Study , 2007, Hypertension Research.

[28]  Laurence Vico,et al.  High‐Resolution pQCT Analysis at the Distal Radius and Tibia Discriminates Patients With Recent Wrist and Femoral Neck Fractures , 2008, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[29]  W. Shen,et al.  Application of imaging and other noninvasive techniques in determining adipose tissue mass. , 2008, Methods in molecular biology.