scholarly journals Use of computed tomography to determine body composition of heavy strain turkey hens (Meleagris gallopavo) from rearing to early laying

2018 ◽  
Vol 97 (11) ◽  
pp. 4093-4106 ◽  
Author(s):  
Marine F Dewez ◽  
Patrice Etourneau ◽  
François Lecompte ◽  
Sylvain Briere ◽  
Pascal Froment
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Meleagris Gallopavo

scholarly journals Can computed tomography defined body composition measurements be used as predictors for postoperative outcomes in spinal metastases undergoing surgery?

2021 ◽  
Vol 1 ◽  
pp. 100115
Author(s):  
Olivier Groot ◽  
Neal Kapoor ◽  
Colleen Buckless ◽  
peter Twining ◽  
Michiel Bongers ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Spinal Metastases ◽  
Postoperative Outcomes ◽  
Composition Measurements

scholarly journals “Influence of Body Composition Assessed by Computed Tomography on Mortality in Older Adults Undergoing Hematopoietic Stem Cell Transplantation”

2021 ◽  
Author(s):  
Ludmila Koch ◽  
Andrea Z Pereira ◽  
Nelson Hamerschlak ◽  
Adham do Amaral e Castro ◽  
Adriano Tachibana ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Stem Cell ◽  
Hematopoietic Stem Cell Transplantation ◽  
Stem Cell Transplantation ◽  
Positive Association ◽  
Allogeneic Transplantation ◽  
Hematopoietic Stem ◽  
Death Risk ◽  
Graft Versus Host

Abstract Aim: The incidence of most hematologic malignancies increases with age. Hematopoietic stem cell transplantation (HSCT) provides a potentially life-prolonging or curative option for many patients in this scenario. Limited data is available on muscle mass and density assessed from CT-images on outcomes after HSCT. We aimed to evaluate the influence of body composition on morbidity and mortality in older adults undergoing (HSCT). Methods: Retrospective longitudinal study conducted with 50 patients ≥ 60 years undergoing HSCT at Hospital Israelita Albert Einstein, São Paulo. Body composition was assessed by chest computed tomography and treatment related mortality, graft versus host disease, neutrophil grafting, and overall survival were analyzed.Results: 148 HSCT patients were evaluated, 50 patients were eligible: 60% with autologous and 40% with allogeneic transplantation. Body mass index in patients was (female: 26.9 ± 4.7 kg/m2; 30.1± 4.9 kg/m2) - autologous and (female: 24.3 ± 5.15 kg/m2; male: 26.4 ± 2.0 kg/m2) - allogeneic. In autologous transplant group, we found a positive association between age and death risk with an increase of 63.5% in this risk (p=0.006) and also Karnofsky performance scale with decrease of 11.9% in death risk (p<0.001). A negative association between muscle radiodensity and death risk was observed in allogeneic transplantation patients with risk decrease of 20.1% (p = 0.032). We found a positive association between T4 muscle area and radiodensity with risk of acute graft versus host disease (p= 0.028). Conclusion: In population studied, body composition assessed by chest tomography showed the importance of radiodensity for better prognosis.

OR39: The Impact of Contrast-Enhanced Versus Non-Enhanced Imaging on Computed Tomography Calculation of Body Composition Variables

2016 ◽  
Vol 35 ◽  
pp. S16
Author(s):  
K.E. Rollins ◽  
H. Javanmard-Emamghissi ◽  
A. Awwad ◽  
I.A. Macdonald ◽  
K.C. Fearon ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Contrast Enhanced ◽  
The Impact ◽  
Enhanced Imaging

Computed Tomography–Determined Body Composition Abnormalities Usefully Predict Long-term Mortality in Patients With Liver Cirrhosis

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Young Seo Cho ◽  
Ha Young Lee ◽  
Jae Yoon Jeong ◽  
Jae Gon Lee ◽  
Tae Yeob Kim ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Liver Cirrhosis ◽  
Long Term Mortality

scholarly journals Muscle Characteristics Obtained Using Computed Tomography as Prognosticators in Patients with Castration-Resistant Prostate Cancer

Cancers ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1864
Author(s):  
Jongsoo Lee ◽  
Jee Soo Park ◽  
Ji Eun Heo ◽  
Hyun Kyu Ahn ◽  
Won Sik Jang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Computed Tomography ◽  
Skeletal Muscle ◽  
Body Composition ◽  
Survival Rates ◽  
Castration Resistant Prostate Cancer ◽  
Vertebral Level ◽  
Skeletal Muscle Index ◽  
Castration Resistant ◽  
Muscle Attenuation

Limited studies have investigated the correlation between body composition and prostate cancer outcomes. We analyzed the effect of muscle mass and quality on castration-resistant prostate cancer (CRPC) outcomes. Skeletal muscle index (SMI) and skeletal muscle attenuation (SMA) were measured for 411 patients at the L3 vertebral level using computed tomography at CRPC diagnosis and were dived to low and high groups at the value of median. Analysis of the skeletal phenotypes and age (<70 and >70 years) was performed to evaluate the effect of SMI and SMA. The median survival rates for patients with low and high SMI were 19 and 24 months (p = 0.015), and those with low and high SMAs were 15 and 26 months (p < 0.001), respectively. In the subgroup analysis by age, SMA was a significant prognosticator in both groups, while SMI was a significant prognosticator only in patients aged >70 years. Patients with low SMA + low SMI had the worst prognosis. Muscle characteristics seems to be a prognosticator in survival of CRPC patients and may be considered in treatment planning.

Clinical outcomes associated with computed tomography‐based body composition measures in lung transplantation: a systematic review

2020 ◽  
Vol 33 (12) ◽  
pp. 1610-1625
Author(s):  
Dmitry Rozenberg ◽  
Camila E. Orsso ◽  
Karan Chohan ◽  
Ani Orchanian‐Cheff ◽  
Sahar Nourouzpour ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Systematic Review ◽  
Body Composition ◽  
Lung Transplantation ◽  
Clinical Outcomes

Body composition evaluation with computed tomography: Contrast media and slice thickness cause methodological errors

Nutrition ◽  
2019 ◽  
Vol 59 ◽  
pp. 50-55 ◽  
Author(s):  
Fabian Morsbach ◽  
Yi-Hua Zhang ◽  
Lena Martin ◽  
Catarina Lindqvist ◽  
Torkel Brismar
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Contrast Media ◽  
Slice Thickness ◽  
Methodological Errors

Evaluating body composition by combining quantitative spectral detector computed tomography and deep learning-based image segmentation

2020 ◽  
Vol 130 ◽  
pp. 109153 ◽  
Author(s):  
David Zopfs ◽  
Khaled Bousabarah ◽  
Simon Lennartz ◽  
Daniel Pinto dos Santos ◽  
Max Schlaak ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Image Segmentation ◽  
Deep Learning
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