[HTML][HTML] Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: a review

A Tolonen, T Pakarinen, A Sassi, J Kyttä… - European journal of …, 2021 - Elsevier
Purpose of the review We aim to review the methods, current research evidence, and future
directions in body composition analysis (BCA) with CT imaging. Recent findings CT images …

The advantages and limitations of cross-sectional body composition analysis

AJ MacDonald, CA Greig… - Current opinion in …, 2011 - journals.lww.com
CS imaging can reliably measure muscle and fat distribution and uniquely discriminate
between intra-abdominal organ and muscle component of fat-free mass. It precisely tracks …

[HTML][HTML] Prediction of abdominal CT body composition parameters by thoracic measurements as a new approach to detect sarcopenia in a COVID-19 cohort

I Molwitz, AK Ozga, L Gerdes, A Ungerer, D Köhler… - Scientific reports, 2022 - nature.com
As most COVID-19 patients only receive thoracic CT scans, but body composition, which is
relevant to detect sarcopenia, is determined in abdominal scans, this study aimed to …

[HTML][HTML] The impact of chest CT body composition parameters on clinical outcomes in COVID-19 patients

G Besutti, M Pellegrini, M Ottone, M Cantini, J Milic… - PloS one, 2021 - journals.plos.org
We assessed the impact of chest CT body composition parameters on outcomes and
disease severity at hospital presentation of COVID-19 patients, focusing also on the possible …

Automated body composition analysis of clinically acquired computed tomography scans using neural networks

MT Paris, P Tandon, DK Heyland, H Furberg, T Premji… - Clinical Nutrition, 2020 - Elsevier
Background & aims The quantity and quality of skeletal muscle and adipose tissue is an
important prognostic factor for clinical outcomes across several illnesses. Clinically acquired …

[HTML][HTML] Artificial intelligence-aided CT segmentation for body composition analysis: a validation study

P Borrelli, R Kaboteh, O Enqvist, J Ulén… - European Radiology …, 2021 - Springer
Background Body composition is associated with survival outcome in oncological patients,
but it is not routinely calculated. Manual segmentation of subcutaneous adipose tissue (SAT) …

Quantification of fat and skeletal muscle tissue at abdominal computed tomography: associations between single-slice measurements and total compartment volumes

A Faron, JA Luetkens, FC Schmeel, DLR Kuetting… - Abdominal …, 2019 - Springer
Purpose Body composition is of great prognostic value in several severe diseases, including
different types of cancer as well as cardiometabolic disorders. We aimed to investigate the …

Validation study of a new semi-automated software program for CT body composition analysis

N Takahashi, M Sugimoto, SP Psutka, B Chen… - Abdominal …, 2017 - Springer
Background Computed tomography (CT) has been increasingly used to quantify abdominal
muscle and fat in clinical research studies, and multiple studies have shown importance of …

A systematic review of automated segmentation of 3D computed‐tomography scans for volumetric body composition analysis

DVC Mai, I Drami, ET Pring, LE Gould… - Journal of Cachexia …, 2023 - Wiley Online Library
Automated computed tomography (CT) scan segmentation (labelling of pixels according to
tissue type) is now possible. This technique is being adapted to achieve three‐dimensional …

[HTML][HTML] Body composition findings by computed tomography in SARS-CoV-2 patients: increased risk of muscle wasting in obesity

P Gualtieri, C Falcone, L Romano, S Macheda… - International journal of …, 2020 - mdpi.com
Obesity is a characteristic of COVID-19 patients and the risk of malnutrition can be
underestimated due to excess of fat: a paradoxical danger. Long ICU hospitalization …