scholarly journals Reproducibility of semiautomated body composition segmentation of abdominal computed tomography: a multiobserver study

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Lisa Jannicke Kjønigsen ◽  
Magnus Harneshaug ◽  
Ann-Monica Fløtten ◽  
Lena Korsmo Karterud ◽  
Kent Petterson ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Adipose Tissue ◽  
Random Noise ◽  
Intraclass Correlation ◽  
Training Programme ◽  
Ct Images ◽  
Abdominal Muscle ◽  
Tissue Compartments ◽  
Intraobserver Variation

Abstract Background Segmentation of computed tomography (CT) images provides quantitative data on body tissue composition, which may greatly impact the development and progression of diseases such as type 2 diabetes mellitus and cancer. We aimed to evaluate the inter- and intraobserver variation of semiautomated segmentation, to assess whether multiple observers may interchangeably perform this task. Methods Anonymised, unenhanced, single mid-abdominal CT images were acquired from 132 subjects from two previous studies. Semiautomated segmentation was performed using a proprietary software package. Abdominal muscle compartment (AMC), inter- and intramuscular adipose tissue (IMAT), visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were identified according to pre-established attenuation ranges. The segmentation was performed by four observers: an oncology resident with extensive training and three radiographers with a 2-week training programme. To assess interobserver variation, segmentation of each CT image was performed individually by two or more observers. To assess intraobserver variation, three of the observers did repeated segmentations of the images. The distribution of variation between subjects, observers and random noise was estimated by a mixed effects model. Inter- and intraobserver correlation was assessed by intraclass correlation coefficient (ICC). Results For all four tissue compartments, the observer variations were far lower than random noise by factors ranging from 1.6 to 3.6 and those between subjects by factors ranging from 7.3 to 186.1. All interobserver ICC was ≥ 0.938, and all intraobserver ICC was ≥ 0.996. Conclusions Body composition segmentation showed a very low level of operator dependability. Multiple observers may interchangeably perform this task with highly reproducible results.

scholarly journals The Effect of The Body Composition to Prognosis in Young Breast Cancer Patients

2020 ◽  
Author(s):  
Ismail Beypinar ◽  
Furkan Kaya ◽  
Hacer Demir
Keyword(s):  
Breast Cancer ◽  
Body Composition ◽  
Adipose Tissue ◽  
Cancer Patients ◽  
Ct Images ◽  
The Body ◽  
Erector Spinae ◽  
Area Of Interest ◽  
Axial Ct ◽  
The Difference

Abstract Background In cancer patients, the effect of the body composition on prognosis is a new clinical area of interest. In patients with class 2 or 3 obesity (BMI > 35), survival found to be worse control groups in a pooled analysis. BMI category is not truly representing body composition and hard to use to determine the true muscle and fat quantity. Computed tomography (CT) is a frequent method to determine body composition precisely.Methods Axial CT images, including all abdominal muscles (psoas, erector spinae, quadratus lumborum) external and internal oblique and rectus abdominis) total skeletal muscle area (SMA), was calculated. Besides, axial CT images of the body fat subcutaneous adipose and visceral adipose tissue distribution (VAT, SAT) areas were calculated in cm2 using threshold values ​​of -30 to -190 for adipose tissue.Results Eighty-four women included in the study. Most of the patients were normal or over-weighted. Invasive ductal carcinoma was the dominant histological subtypes, with 94% of the study population. The count of the sarcopenic and non-sarcopenic patients was 11 and 68 respectively. Although the median OS cannot be reached at the end of the follow-up period for both sarcopenic and non-sarcopenic patients, the difference between groups statistically insignificant. The median OS was not reached for both groups, the difference between low and high VAT groups was statistically significant.Conclusion In this study, we demonstrate sarcopenia may be seen in patients with breast cancer under 40 years old, and it may not have a prognostic effect.

Computed tomography and radio-graphic assessment of congruity between the ulnar trochlear notch and humeral trochlea in large breed dogs

2017 ◽  
Vol 30 (01) ◽  
pp. 8-14 ◽  
Author(s):  
Mário Ginja ◽  
Armando Fernandes ◽  
António Ferreira ◽  
Pedro Melo-Pinto ◽  
Bruno Colaço ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Intraclass Correlation ◽  
Computer Software ◽  
Ct Images ◽  
Ct Measurements ◽  
Starting Point ◽  
Central Ridge ◽  
Mean Differences ◽  
Extended View ◽  
Lower Limits

Summary Objective: Assess the fit between the ulnar trochlear notch (UTN) and humeral trochlea (HT) in elbow radiographs and computed tomography (CT) images by measuring the curvature radii in normal joints. Methods: Mediolateral extended view (MLE) and CT were performed on 16 elbows from cadaveric dogs weighing over 20 kg. Curves were traced at the subchondral level from the UTN central ridge and the HT sagittal groove related to the UTN on ~132° joint extension. Curvature radii were achieved using appropriate computer software. Results: Intraclass correlation coefficient between MLE/CT measurements were statistically significant, with lower limits of a 95% confidence interval (CI) >0.75. The mean differences between MLE/CT measurements were -0.71 mm (95% CI: -0.97 to -0.45) for UTN and -1.04 mm (95% CI: -1.21 to -0.87) for HT. The UTN and HT curvature radii typology were similar, with maximum radius values at the starting point and two intermediate peaks. The UTN curvature radii were bigger than the HT radii, with the largest differences in the most proximal aspect of the joint and in the second intermediate peak. Clinical significance: To the authors’ knowledge, this is the first report on humeroulnar congruity through curvature radii evaluation. The software and methodology proposed enabled an adequate UTN and HT radii curvature assessment in MLE and CT images. Comparative studies in normal and dysplastic dogs of various breeds could better clarify the role of UTN and HT curvature radii in elbow incongruity and dysplasia.

A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care

2008 ◽  
Vol 33 (5) ◽  
pp. 997-1006 ◽  
Author(s):  
Marina Mourtzakis ◽  
Carla M.M. Prado ◽  
Jessica R. Lieffers ◽  
Tony Reiman ◽  
Linda J. McCargar ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Cancer Patients ◽  
Regional Analysis ◽  
Lumbar Vertebra ◽  
Ct Images ◽  
Fat Free Mass ◽  
Practical Significance ◽  
Whole Body ◽  
Computed Tomography Images

Human body composition is important in numerous cancer research domains. Our objective was to evaluate clinically accessible methods to achieve practical and precise measures of body composition in cancer patients. Dual-energy X-ray absorptiometry (DXA)-based analysis of fat and fat-free mass was performed in 50 cancer patients and compared with bioelectrical impedance analysis (BIA) and with regional computed tomography (CT) images available in the patients’ medical records. BIA overestimated or underestimated fat-free mass substantially compared with DXA as the method of reference (up to 9.3 kg difference). Significant changes in fat-free mass over time detected with DXA in a subset of 21 patients (+2.2 ± 3.2%/100 days, p = 0.003), was beyond the limits of detection of BIA. Regional analysis of fat and fat-free tissue at the 3rd lumbar vertebra with either DXA or CT strongly predicted whole-body fat and fat-free mass (r = 0.86–0.94; p < 0.001). CT images provided detail on specific muscles, adipose tissues and organs, not provided by DXA or BIA. CT presents great practical significance due to the prevalence of these images in patient diagnosis and follow-up, thus marrying clinical accessibility with high precision to quantify specific tissues and to predict whole-body composition.

scholarly journals Association Between Muscle Quality Measured by Abdominal Computed Tomography and Subclinical Coronary Atherosclerosis

2020 ◽  
Author(s):  
Min Jung Lee ◽  
Hong-Kyu Kim ◽  
Eun Hee Kim ◽  
Sung Jin Bae ◽  
Kyung Won Kim ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Adipose Tissue ◽  
Coronary Artery ◽  
Coronary Artery Calcification ◽  
Coronary Atherosclerosis ◽  
Abdominal Muscle ◽  
Muscle Quality ◽  
Muscle Area ◽  
Cross Sectional

Objective: Low muscle mass was known to be associated with cardiovascular diseases. However, only few studies investigated the association between muscle quality and subclinical coronary atherosclerosis. Thus, we evaluated whether muscle quality measured by abdominal computed tomography is associated with the risk of coronary artery calcification. Approach and Results: We conducted a cross-sectional study on 4068 subjects without cardiovascular disease who underwent abdominal and coronary computed tomography between 2012 and 2013 during health examinations. The cross-sectional area of the skeletal muscle was measured at the L3 level (total abdominal muscle area, total abdominal muscle area) and segmented into normal attenuation muscle area, low attenuation muscle area, and intramuscular adipose tissue. We calculated the normal attenuation muscle area/total abdominal muscle area index, of which a higher value reflected a higher proportion of good quality muscle (normal attenuation muscle area) and a lower proportion of myosteatosis (low attenuation muscle area and intramuscular adipose tissue). In women, as the normal attenuation muscle area/total abdominal muscle area quartiles increased, the odds ratios (95% CIs) for significant coronary artery calcification (>100) consistently decreased (0.44 [0.24–0.80], 0.39 [0.19–0.81], 0.34 [0.12–0.98]; P =0.003) after adjusting for cardiovascular risk factors including visceral fat area and insulin resistance. In men, the odds ratios in the Q2 group were significantly lower than those in the Q1, but the association was attenuated in Q3–4 after adjustment. Conclusions: A higher proportion of good quality muscle was strongly associated with a lower prevalence of significant coronary artery calcification after adjustment, especially in women. Poor skeletal muscle quality may be an important risk factor for subclinical coronary atherosclerosis.

scholarly journals Muscle segmentation in axial computed tomography (CT) images at the lumbar (L3) and thoracic (T4) levels for body composition analysis

2019 ◽  
Vol 75 ◽  
pp. 47-55 ◽  
Author(s):  
Setareh Dabiri ◽  
Karteek Popuri ◽  
Elizabeth M. Cespedes Feliciano ◽  
Bette J. Caan ◽  
Vickie E. Baracos ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Ct Images ◽  
Composition Analysis ◽  
Body Composition Analysis ◽  
Muscle Segmentation
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