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

Pelvic body composition measurements by quantitative computed tomography: Association with recent hip fracture

Bone ◽  
2008 ◽  
Vol 42 (4) ◽  
pp. 798-805 ◽  
Author(s):  
T. Lang ◽  
A. Koyama ◽  
C. Li ◽  
J. Li ◽  
Y. Lu ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Hip Fracture ◽  
Quantitative Computed Tomography ◽  
Composition Measurements

scholarly journals Can body composition measures on computed tomography predict mortality in patients with spinal metastases undergoing surgery?

2021 ◽  
Vol 1 ◽  
pp. 100049
Author(s):  
Olivier Groot ◽  
Michiel Bongers ◽  
Colleen Buckless ◽  
Neal Kapoor ◽  
Peter Twining ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Spinal Metastases

Pancreatic Fat and Body Composition Measurements by Computed Tomography are Associated with Pancreatic Fistula After Pancreatectomy

2020 ◽  
Vol 28 (1) ◽  
pp. 530-538 ◽  
Author(s):  
Katsuhito Tanaka ◽  
Suguru Yamada ◽  
Fuminori Sonohara ◽  
Hideki Takami ◽  
Masamichi Hayashi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Pancreatic Fistula ◽  
Pancreatic Fat ◽  
Composition Measurements

scholarly journals Body composition measurements and fat redistribution in HIV-infected children and adolescents from São Paulo city, Brazil

2010 ◽  
Vol 14 ◽  
pp. e71
Author(s):  
C. Zanin Palchetti ◽  
R. Vega Patin ◽  
D.M. Machado ◽  
S. Vasconcelos Beltrão ◽  
E.R. Paulino ◽  
...  
Keyword(s):  
Body Composition ◽  
Children And Adolescents ◽  
Sao Paulo ◽  
São Paulo ◽  
Fat Redistribution ◽  
Composition Measurements

A machine learning risk model based on preoperative computed tomography scan to predict postoperative outcomes after pancreatoduodenectomy

2021 ◽  
Author(s):  
Giovanni Capretti ◽  
Cristiana Bonifacio ◽  
Crescenzo De Palma ◽  
Martina Nebbia ◽  
Caterina Giannitto ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computed Tomography ◽  
Risk Model ◽  
Postoperative Outcomes ◽  
Computed Tomography Scan ◽  
Model Based ◽  
Tomography Scan

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

Comparison of DEXA and Bioimpedance for Body Composition Measurements in Nondialysis Patients With CKD

2019 ◽  
Vol 29 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Yunan Zhou ◽  
Peter Höglund ◽  
Naomi Clyne
Keyword(s):  
Body Composition ◽  
Composition Measurements
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