Study of Sexual Dimorphism in Metatarsal Bones: Geometric and Inertial Analysis of the Three-Dimensional Reconstructed Models.

The aim of the present paper is to determine the sex of the individual using three-dimensional geometric and inertial analyses of metatarsal bones. Metatarsals of 60 adult Chinese subjects of both sexes were scanned using Aquilion One 320 Slice CT Scanner. The three-dimensional models of the metatarsals were reconstructed, and thereafter, a novel software using the center of mass set as the origin and the three principal axes of inertia was employed for model alignment. Eight geometric and inertial variables were assessed: the bone length, bone width, bone height, surface-area-to-volume ratio, bone density, and principal moments of inertia around the x, y, and z axes. Furthermore, the discriminant functions were established using stepwise discriminant function analysis. A cross-validation procedure was performed to evaluate the discriminant accuracy of functions. The results indicated that inertial variables exhibit significant sexual dimorphism, especially principal moments of inertia around the z axis. The highest dimorphic values were found in the surface-area-to-volume ratio, principal moments of inertia around the z axis, and bone height. The accuracy rate of the discriminant functions for sex determination ranged from 88.3% to 98.3% (88.3%-98.3% cross-validated). The highest accuracy of function was established based on the third metatarsal bone. This study showed for the first time that the principal moment of inertia of the human bone may be successfully implemented for sex estimation. In conclusion, the sex of the individual can be accurately estimated using a combination of geometric and inertial variables of the metatarsal bones. The accuracy should be further confirmed in a larger sample size and be tested or independently developed for distinct population/age groups before the functions are widely applied in unidentified skeletons in forensic and bioarcheological contexts.

CT Attenuation and Cross-sectional-area Index of the Pectoralis Are Associated With Prognosis in Sarcoma Patients.

BACKGROUND/AIM: To identify prognostic imaging biomarkers from staging chest computed tomography (CT) in patients with sarcomas. PATIENTS AND METHODS: CT scans for baseline staging, and surveillance 1-year CT scans in patients newly diagnosed with sarcoma were evaluated. Pectoralis muscle area (PMA), pectoralis muscle index (PMI) and pectoralis CT attenuation density (PMT) were measured. Cox proportional-hazard models were used to determine the association with progression-free survival (PFS) and overall survival (OS). RESULTS: There were 147 patients (53.1% male) who were followed for a median 1,414 days (range=219-4851 days). Approximately 47.6% (70/147) of patients progressed and 29.9% (44/147) died. Multivariable Cox-proportional hazards models adjusting for gender, tumor grade and chemotherapy treatment showed that a higher baseline PMT and baseline PMI were associated with increased OS. CONCLUSION: Higher baseline PMI and PMT are associated with increased overall survival in patients with sarcoma.

Cross-sectional anatomy, computed tomography, and magnetic resonance imaging of the banded houndshark (Triakis scyllium).

Due to their important phylogenetic position among extant vertebrates, sharks are an invaluable group in evolutionary developmental biology studies. A thorough understanding of shark anatomy is essential to facilitate these studies and documentation of this iconic taxon. With the increasing availability of cross-sectional imaging techniques, the complicated anatomy of both cartilaginous and soft tissues can be analyzed non-invasively, quickly, and accurately. The aim of this study is to provide a detailed anatomical description of the normal banded houndshark (Triakis scyllium) using computed tomography (CT) and magnetic resonance imaging (MRI) along with cryosection images. Three banded houndsharks were scanned using a 64-detector row spiral CT scanner and a 3 T MRI scanner. All images were digitally stored and assessed using open-source Digital Imaging and Communications in Medicine viewer software in the transverse, sagittal, and dorsal dimensions. The banded houndshark cadavers were then cryosectioned at approximately 1-cm intervals. Corresponding transverse cryosection images were chosen to identify the best anatomical correlations for transverse CT and MRI images. The resulting images provided excellent detail of the major anatomical structures of the banded houndshark. The illustrations in the present study could be considered as a useful reference for interpretation of normal and pathological imaging studies of sharks.

morphomap: An R package for long bone landmarking, cortical thickness, and cross-sectional geometry mapping.

OBJECTIVES: This study describes and demonstrates the functionalities and application of a new R package, morphomap, designed to extract shape information as semilandmarks in multiple sections, build cortical thickness maps, and calculate biomechanical parameters on long bones. METHODS: morphomap creates, from a single input (an oriented 3D mesh representing the long bone surface), multiple evenly spaced virtual sections. morphomap then directly and rapidly computes morphometric and biomechanical parameters on each of these sections. The R package comprises three modules: (a) to place semilandmarks on the inner and outer outlines of each section, (b) to extract cortical thicknesses for 2D and 3D morphometric mapping, and (c) to compute cross-sectional geometry. RESULTS: In this article, we apply morphomap to femora from Homo sapiens and Pan troglodytes to demonstrate its utility and show its typical outputs. morphomap greatly facilitates rapid analysis and functional interpretation of long bone form and should prove a valuable addition to the osteoarcheological analysis software toolkit. CONCLUSIONS: Long bone loading history is commonly retrodicted by calculating biomechanical parameters such as area moments of inertia, analyzing external shape and measuring cortical thickness. morphomap is a software written in the open source R environment, it integrates the main methodological approaches (geometric morphometrics, cortical morphometric maps, and cross-sectional geometry) used to parametrize long bones.

Architecture of female urethral supporting structures based on undeformed high-resolution sectional anatomical images.

Female urinary incontinence mainly relates to damage of female urethra supporting structures, while its anatomy and function specially in which the connective tissue part are still unclear and controversial. We study it based on 4 thin-sectional, high-resolution, transverse sectional anatomical images [Chinese Visible Human (CVH) images] and 10 high-resolution MRI images from volunteers. The female urethral supporting structures and its adjacent structures were segmented and three-dimensional (3D) reconstructed with Amira software. The urethral supporting structures include muscular and connective tissue supporting structures. Muscular supporting structures are composed of levator ani muslce and striated urethral sphincter, the connective tissue supporting structures are composed of anterior vaginal wall, pubovesical muscle, pubovesical ligament, lateral vesical ligament, and tendinous arch of pelvic fascia (TAPF). The anterior vaginal wall includes tight and loose connections between urethral, bladder, and vagina. The lateral vesical ligament connects the proximal part of the urethra to the TAPF. The pubovesical muscle is crescent shaped and continues with the detrusor of the bladder superior and directly connects the TAPF laterally. The TAPF is an obvious fibrous structure that originates at the middle-posterior surface of the pubis, travels onto the parietal pelvic fascia, and inserts posteriorly onto the ischial spine. The anterior vaginal wall, the pubovesical muscle, the lateral vesical ligament, and the TAPF create the "hammock" structure and supplement DeLancey's theory. Its support to the proximal urethra and neck of bladder is crucial to maintain stability and urinary continence during increased abdominal pressure.

Beauty is in the eye of the follower: Facial aesthetics in the age of social media.

BACKGROUND: The advent of social media has influenced the relationship between aesthetic surgeons and their patients, as well as the motivations of such patients to seek cosmetic surgery. AIMS & OBJECTIVES: To determine how the cephalometric proportions of modern social media models fit with historical canons of beauty. MATERIALS & METHODS: Frontal and lateral photographs of 20 high-influence female Instagram models were obtained and evaluated for cephalometric measures. The means of these measures were compared with previous reports in the literature. RESULTS: Cephalometric measurements of social media models were in agreement with historical ideals of beauty for Nostril axis (120.7°), Goode's ratio (0.6), Nasofacial angle (35.7°), Nasofrontal angle (130.9°), and the horizontal thirds. Results were discrepant from historical ideals for the Nasolabial angle (82.6°) and the vertical facial fifths. CONCLUSION: Cephalometric measurements of social media models in the digital age closely resemble the ideal values proposed by previous authors. Due to a preference for larger or altered lip profiles, nostril axis is a more reliable measure of nasal tip rotation than nasolabial angle.

Myosoft: An automated muscle histology analysis tool using machine learning algorithm utilizing FIJI/ImageJ software.

METHODS: Muscle sections were stained for cell boundary (laminin) and myofiber type (myosin heavy chain isoforms). Myosoft, running in the open access software platform FIJI (ImageJ), was used to analyze myofiber size and type in transverse sections of entire gastrocnemius/soleus muscles. RESULTS: Myosoft provides an accurate analysis of hundreds to thousands of muscle fibers within 25 minutes, which is >10-times faster than manual analysis. We demonstrate that Myosoft is capable of handling high-content images even when image or staining quality is suboptimal, which is a marked improvement over currently available and comparable programs. CONCLUSIONS: Myosoft is a reliable, accurate, high-throughput, and convenient tool to analyze high-content muscle histology. Myosoft is freely available to download from Github at https://github.com/Hyojung-Choo/Myosoft/tree/Myosoft-hub.

Bellymount enables longitudinal, intravital imaging of abdominal organs and the gut microbiota in adult Drosophila.

Cell- and tissue-level processes often occur across days or weeks, but few imaging methods can capture such long timescales. Here, we describe Bellymount, a simple, noninvasive method for longitudinal imaging of the Drosophila abdomen at subcellular resolution. Bellymounted animals remain live and intact, so the same individual can be imaged serially to yield vivid time series of multiday processes. This feature opens the door to longitudinal studies of Drosophila internal organs in their native context. Exploiting Bellymount's capabilities, we track intestinal stem cell lineages and gut microbial colonization in single animals, revealing spatiotemporal dynamics undetectable by previously available methods.

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks.

Labeled medical imaging data is scarce and expensive to generate. To achieve generalizable deep learning models large amounts of data are needed. Standard data augmentation is a method to increase generalizability and is routinely performed. Generative adversarial networks offer a novel method for data augmentation. We evaluate the use of CycleGAN for data augmentation in CT segmentation tasks. Using a large image database we trained a CycleGAN to transform contrast CT images into non-contrast images. We then used the trained CycleGAN to augment our training using these synthetic non-contrast images. We compared the segmentation performance of a U-Net trained on the original dataset compared to a U-Net trained on the combined dataset of original data and synthetic non-contrast images. We further evaluated the U-Net segmentation performance on two separate datasets: The original contrast CT dataset on which segmentations were created and a second dataset from a different hospital containing only non-contrast CTs. We refer to these 2 separate datasets as the in-distribution and out-of-distribution datasets, respectively. We show that in several CT segmentation tasks performance is improved significantly, especially in out-of-distribution (noncontrast CT) data. For example, when training the model with standard augmentation techniques, performance of segmentation of the kidneys on out-of-distribution non-contrast images was dramatically lower than for in-distribution data (Dice score of 0.09 vs. 0.94 for out-of-distribution vs. in-distribution data, respectively, p < 0.001). When the kidney model was trained with CycleGAN augmentation techniques, the out-of-distribution (non-contrast) performance increased dramatically (from a Dice score of 0.09 to 0.66, p < 0.001). Improvements for the liver and spleen were smaller, from 0.86 to 0.89 and 0.65 to 0.69, respectively. We believe this method will be valuable to medical imaging researchers to reduce manual segmentation effort and cost in CT imaging.

Deep learning segmentation of major vessels in X-ray coronary angiography.

X-ray coronary angiography is a primary imaging technique for diagnosing coronary diseases. Although quantitative coronary angiography (QCA) provides morphological information of coronary arteries with objective quantitative measures, considerable training is required to identify the target vessels and understand the tree structure of coronary arteries. Despite the use of computer-aided tools, such as the edge-detection method, manual correction is necessary for accurate segmentation of coronary vessels. In the present study, we proposed a robust method for major vessel segmentation using deep learning models with fully convolutional networks. When angiographic images of 3302 diseased major vessels from 2042 patients were tested, deep learning networks accurately identified and segmented the major vessels in X-ray coronary angiography. The average F1 score reached 0.917, and 93.7% of the images exhibited a high F1 score > 0.8. The most narrowed region at the stenosis was distinctly captured with high connectivity. Robust predictability was validated for the external dataset with different image characteristics. For major vessel segmentation, our approach demonstrated that prediction could be completed in real time with minimal image preprocessing. By applying deep learning segmentation, QCA analysis could be further automated, thereby facilitating the use of QCA-based diagnostic methods.

Variation of three-dimensional femoral bowing and its relation to physical status and bone mineral density: a study with CT.

PURPOSE: Anatomically, the femoral bone shows sagittal and coronal bowing. Pronounced bowing would affect femoral implant surgery accuracy, but factors associated with degrees of three-dimensional (3D) femoral bowing have not yet been identified. This study measured 3D femoral bowing and examined the correlation between 3D femoral bowing and risk factors. METHODS: 3D femoral bone models of unaffected legs from 125 patients were reconstructed from computed tomography data. A trans-epicondylar axis (TEA)-based coordinate system was introduced into bone models and the reproducibility of this coordinate system was evaluated. The cross-sectional contours of the femoral canal were extracted along the vertical axis of the TEA-based coordinate system, and the angles of 3D femoral bowing were examined. RESULTS: The reproducibility to set the coordinate was very high. Total, sagittal, and coronal femoral bowing were 8.9 ± 1.8°, 8.7 ± 1.8°, and 0.1 ± 1.9°, respectively. There was no significant difference in the degrees of femoral bowing between males and females. Total, coronal, and sagittal femoral bowing correlated with age, height, and femoral length, but only femoral coronal bowing correlated with bone mineral density (BMD) of the femur and lumbar spine. CONCLUSIONS: We introduced a highly reproducible method for measuring femoral sagittal and coronal bowing by constructing a femoral 3D coordinate system. Anterior femoral bowing was the dominant direction of bowing in our Japanese cohort, whereas the degree of lateral bowing correlated with age, height, femoral length, and BMD. Our results suggest that lateral femoral bowing could increase with aging and decreasing BMD.

Diagnóstico prenatal ultrasonográfico de hemivértebra / Prenatal Ultrasonographic Diagnosis of Hemivertebrae

Introducción: La hemivértebra es un raro defecto congénito de la columna vertebral fetal en la que solo se desarrolla el cuerpo vertebral de un lado, lo cual provoca su deformidad. Objetivo: Presentar un caso con diagnóstico ecográfico tridimensional prenatal de hemivértebra, como único defecto. Método: Se realizó evaluación ecográfica prenatal y examen anátomo patológico y radiológico posmortem al feto con escoliosis congénita provocado por hemivértebra. Se revisó la literatura sobre este defecto congénito, su diagnóstico prenatal y otros aspectos genéticos que deben tenerse en cuenta para el asesoramiento a la familia. Presentación de caso: Gestante de 28 años remitida a la consulta provincial de Genética Médica en la ciudad de Camagüey, Cuba, el 25 de septiembre del 2018, por sospecha ultrasonográfica de hemivértebra fetal con 20 semanas de gestación. Se confirma diagnóstico a esta instancia, mediante ultrasonografía tridimensional. Con el consentimiento familiar informado se realiza interrupción de la gestación y se comprueba el diagnóstico prenatal realizado por estudios radiológicos y anátomo patológico de la región dorso lumbar. Conclusiones: Se concluye como un defecto congénito múltiple, aislado, de posible etiología multifactorial. Se destacó el valor de la ecografía tridimensional, vista sagital coronal, como método no invasivo más empleado para el diagnóstico prenatal(AU)

Introduction: The hemivertebrae is a rare congenital defect of the fetal spine in which only the vertebral body develops on one side, resulting in deformity. Objective: To present a case with three-dimensional prenatal ultrasound diagnosis of hemivertebrae, as the only defect. Method: Prenatal ultrasound evaluation, postmortem anatomopathological and radiological examination were performed in a fetus with congenital scoliosis caused by hemivertebrae. The literature on this congenital defect, the prenatal diagnosis and other genetic aspects that should be taken into account for family counseling was reviewed. Case report: A 28-year-old pregnant woman referred to the provincial office of Medical Genetics in Camagüey, Cuba, on September 25, 2018, due to ultrasonographic suspicion of fetal hemivertebrae. She was 20 weeks of gestation. Diagnosis is confirmed by three-dimensional ultrasonography. After the informed family consent, the pregnancy was interrupted. The prenatal diagnosis was verified by radiological and pathological studies of the lumbar back region. Conclusions: It is concluded as a multiple congenital defect, isolated, of possible multifactorial etiology. The value of three-dimensional ultrasound, coronal sagittal view, was highlighted as the most commonly used, non-invasive method for prenatal diagnosis(AU)

Quantification of spiral artery remodelling using an Adobe Photoshop-based technique.

Uterine spiral arteries undergo remodelling in normal pregnancy, with replacement of the musculoelastic arterial media by fibrinoid containing extravillous trophoblast cells. Deficient spiral artery remodelling is associated with several adverse pregnancy outcomes. Although there are distinct components of spiral artery remodelling, assessment is subjective and often based on an overall impression of morphology. We aimed to develop a quantitative approach for assessment of uterine spiral artery remodelling. Placental bed biopsies were immunostained using smooth muscle markers, digital images of spiral arteries were captured and Adobe Photoshop was used to analyse positive immunostaining. The method was then used to investigate variation in the same vessel at different levels within a paraffin block, and the effect of parity, pre-eclampsia or miscarriage on vascular smooth muscle cell content. Results were also compared with a more subjective morphology-based assessment system. There was good intra- and interobserver agreement and the method correlated well with the more subjective assessment system. There was an overall reduction in vascular smooth muscle, as detected by caldesmon 1 (h-caldesmon) immunopositivity, with increasing gestational age from 8 weeks to term. A previous pregnancy did not affect the amount of spiral artery smooth muscle. Comparison of pre-eclampsia and late miscarriage samples with controls of the appropriate gestational age demonstrated increased medial smooth muscle in pathological samples. This technique provides a simple, rapid, reproducible and inexpensive approach to quantitative assessment of spiral artery remodelling in normal and pathological human pregnancy, a process which although fundamental for successful pregnancy, is still incompletely understood.

Patient-specific probabilistic atlas combining modified distance regularized level set for automatic liver segmentation in CT.

Liver segmentation from CT is regarded as a prerequisite for computer-assisted clinical applications. However, automatic liver segmentation technology still faces challenges due to the variable shapes and low contrast. In this paper, a patient-specific probabilistic atlas (PA)-based method combing modified distance regularized level set for liver segmentation is proposed. Firstly, the similarities between training atlases and testing patient image are calculated, resulting in a series of weighted atlas, which are used to generate the patient-specific PA. Then, a most likely liver region (MLLR) can be determined based on the patient-specific PA. Finally, the refinement is performed by the modified distance regularized level set model, which takes advantage of both edge and region information as balloon force. We evaluated our proposed scheme based on 35 public datasets, and experimental result shows that the proposed method can be deployed for robust and precise liver segmentation, to replace the tedious and time-consuming manual method.

Automated 3D Axonal Morphometry of White Matter.

Axonal structure underlies white matter functionality and plays a major role in brain connectivity. The current literature on the axonal structure is based on the analysis of two-dimensional (2D) cross-sections, which, as we demonstrate, is precarious. To be able to quantify three-dimensional (3D) axonal morphology, we developed a novel pipeline, called ACSON (AutomatiC 3D Segmentation and morphometry Of axoNs), for automated 3D segmentation and morphometric analysis of the white matter ultrastructure. The automated pipeline eliminates the need for time-consuming manual segmentation of 3D datasets. ACSON segments myelin, myelinated and unmyelinated axons, mitochondria, cells and vacuoles, and analyzes the morphology of myelinated axons. We applied the pipeline to serial block-face scanning electron microscopy images of the corpus callosum of sham-operated (n = 2) and brain injured (n = 3) rats 5 months after the injury. The 3D morphometry showed that cross-sections of myelinated axons were elliptic rather than circular, and their diameter varied substantially along their longitudinal axis. It also showed a significant reduction in the myelinated axon diameter of the ipsilateral corpus callosum of rats 5 months after brain injury, indicating ongoing axonal alterations even at this chronic time-point.

Real-Color Volume Models Made from Real-Color Sectioned Images of Visible Korean.

BACKGROUND: Volume models made from magnetic resonance images on computed tomographs can produce horizontal, coronal, sagittal, and oblique planes that are used widely in clinics, although detailed structures cannot be identified. Existing real color volume models are mostly commercial and their production methods have not been released. The aim of this study was to distribute free of charge, real-color volume models produced from sectioned images with the production method. METHODS: The original voxel size of sectioned images was increased appropriately so that the volume model could be handled by typical personal computers. By using Dicom Browser and MRIcroGL, the sectioned images were processed to become the volume models. RESULTS: On the MRIcroGL, the resultant volume model with the voxel size of 0.5 × 0.5 × 0.5 mm3 could be displayed and freely rotated. By adjusting variables of the software, desired oblique planes could be produced instantly. With overlay function, a model of segmented structure can be overlapped to the entire volume models. The sectioned images with high quality and the segmentation data of Visible Korean enabled the identification of detailed anatomical structures on the planes. CONCLUSION: The volume models can be used by medical students and doctors for learning sectional anatomy. Other researchers can utilize the method of this study to produce volume models from their own sectioned images.

Impact of fetal brain ultrasound tutor smartphone application on normal anatomy learning.

OBJECTIVE: The "Fetal Brain Tutor 4us" (FBTApp) is a recently developed application for interactive multiplanar navigation through the normal fetal brain. The purpose of this work was to assess its impact on normal anatomy learning. METHODS: A multiple-choice quiz (MCQ) was administered to first-year resident doctors in Obstetrics and Gynecology in two separate sessions, before and 2 weeks after downloading the FBTApp. For each MCQ, the junior trainee was asked to use one out of five items to label a specific cerebral structure on an ultrasound image of a normal midtrimester fetal brain. Six sonographic images of the fetal brain on each of the three scanning planes (axial, sagittal, and coronal) were shown to the participants at either session. The results of the two sessions were analysed and compared. RESULTS: Overall, 216 questions were administered to the trainees in the 2-week study, 108 before and 108 after the use of the FBTApp. From the first to the second sessions, a significant increase of correct answers was noted (from 47/108 or 43% to 77/108 or 71%, P < 0.01). Particularly, a better improvement was obtained in the correct labelling of cerebral structures on the nonaxial (from 32% to 67%, +35%) vs axial (from 67% to 81%, +14%) view planes of the brain (P < 0.01). CONCLUSION: The use of FBTApp seems capable to improve the knowledge of the normal fetal brain anatomy in subjects naive to dedicated prenatal ultrasound. This improvement seems greater on nonaxial planes.

New Viewpoint of Surface Anatomy Using the Curved Sectional Planes of a Male Cadaver.

BACKGROUND: The curved sectional planes of the human body can provide a new approach of surface anatomy that the classical horizontal, coronal, and sagittal planes cannot do. The purpose of this study was to verify whether the curved sectional planes contribute to the morphological comprehension of anatomical structures. METHODS: By stacking the sectioned images of a male cadaver, a volume model of the right half body was produced (voxel size 1 mm). The sectioned images with the segmentation data were also used to build another volume model. The volume models were peeled and rotated to be screen captured. The captured images were loaded on user-friendly browsing software that had been made in the laboratory. RESULTS: The browsing software was downloadable from the authors' homepage (anatomy.co.kr). On the software, the volume model was peeled at 1 mm thicknesses and rotated at 30 degrees. Since the volume models were made from the cadaveric images, actual colors of the structures were displayed in high resolution. Thanks to the segmentation data, the structures on the volume model could be automatically annotated. Using the software, the sternocleidomastoid muscle and the internal jugular vein in the neck region, the cubital fossa in the upper limb region, and the femoral triangle in the lower limb region were observed to be described. CONCLUSION: For the students learning various medical procedures, the software presents the needed graphic information of the human body. The curved sectional planes are expected to be a tool for disciplinary convergence of the sectional anatomy and surface anatomy.

Ectopic adiposity and cardiometabolic health in COPD.

RATIONALE: Obesity/overweight is the most prevalent body composition abnormality in COPD. However, little is known about the impact of fat distribution on cardiometabolic health in COPD. OBJECTIVE: To study the associations between ectopic adiposity, cardiometabolic health, and COPD. METHODS: A total of 263 subjects (166 males; age=65±9 years) were randomly selected from the general population. Subjects were classified as non-COPD controls and COPD, according to the Global initiative for chronic Obstructive Lung Disease (GOLD) classification, and the presence of cardiometabolic comorbidities was recorded. Ectopic fat accumulation was documented from computed tomography measurements of visceral adipose tissue cross-sectional areas and muscle mean attenuation, assessed at L4-L5. Blood glucose, lipid, and adipokine profiles were also evaluated. RESULTS: After correcting for age, sex, and tobacco exposure, visceral adipose tissue cross-sectional area was higher in GOLD 2+ compared to GOLD 1 individuals. Consistent with this, mean muscle tissue attenuation was lower in GOLD 2+ vs GOLD 1 and non-COPD controls (P<0.001). In multiple regression models, visceral adipose tissue cross-sectional area was strongly associated with hypertension (P<0.001) and diabetes (P<0.001), while muscle attenuation was associated with coronary artery disease (P<0.001). Blood glucose, lipid, and adipokine profiles were similar across groups with the exception of leptin level which was higher in GOLD 2+ subjects compared to GOLD 1 and controls. CONCLUSION: GOLD 2+ COPD was associated with ectopic fat accumulation which modulated cardiometabolic health.

A Simple Endoscopic Technique for Measuring the Cross-Sectional Area of the Upper Airway in a Rabbit Model.

OBJECTIVE: Validate an accurate and reproducible method of measuring the cross-sectional area (CSA) of the upper airway. SUBJECTS AND METHODS: This is a prospective animal study done at a tertiary care medical treatment facility. Control images were obtained using endotracheal tubes of varying sizes. In vivo images were obtained from various timepoints of a concurrent study on subglottic stenosis. Using a 0° rod telescope, an instrument was placed at the level of interest, and a photo was obtained. Three independent and blinded raters then measured the CSA of the narrowest portion of the airway using open source image analysis software. RESULTS: Each blinded rater measured the CSA of 79 photos. The t testing to assess for accuracy showed no difference between measured and known CSAs of the control images ( P = .86), with an average error of 1.5% (SD = 5.5%). All intraclass correlation (ICC) values for intrarater agreement showed excellent agreement (ICC > .75). Interrater reliability among all raters in control (ICC = .975; 95% CI, .817-.995) and in vivo (ICC = .846;, 95% CI, .780-.896) images showed excellent agreement. CONCLUSIONS: We validate a simple, accurate, and reproducible method of measuring the CSA of the airway that can be used in a clinical or research setting.