AIMC Topic: Sarcopenia

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Use of artificial intelligence in the imaging of sarcopenia: A narrative review of current status and perspectives.

Nutrition (Burbank, Los Angeles County, Calif.) Mar 3, 2021
Sarcopenia is a muscle disease which previously was associated only with aging, but in recent days it has been gaining more attention for its predictive value in a vast range of conditions and its potential link with overall health. Up to this point,...
Humans Artificial Intelligence Machine Learning Precision Medicine Sarcopenia Diagnostic Imaging
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Identifying sarcopenia in advanced non-small cell lung cancer patients using skeletal muscle CT radiomics and machine learning.

Thoracic cancer Aug 6, 2020
BACKGROUND: Sarcopenia has been confirmed as a poor prognostic indicator of lung cancer. However, the lack of abdominal computed tomography (CT) hindered the application to assess the status of sarcopenia. The purpose of this study was to assess the ...
Female Male Middle Aged Lung Neoplasms Prognosis Retrospective Studies Tomography, X-Ray Computed Carcinoma, Non-Small-Cell Lung Sarcopenia Radiometry Humans Machine Learning
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Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment.

Diagnostic and interventional imaging May 22, 2020
PURPOSE: The purpose of this study was to build and train a deep convolutional neural networks (CNN) algorithm to segment muscular body mass (MBM) to predict muscular surface from a two-dimensional axial computed tomography (CT) slice through L3 vert...
Algorithms Tomography, X-Ray Computed Deep Learning Sarcopenia Abdominal Muscles Humans Neural Networks, Computer
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Automated body composition analysis of clinically acquired computed tomography scans using neural networks.

Clinical nutrition (Edinburgh, Scotland) Jan 22, 2020
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 computed tomography (CT) scans are commonly used for quantificatio...
Automation North America Radiographic Image Interpretation, Computer-Assisted Lumbar Vertebrae Adiposity Deep Learning Humans Europe Neural Networks, Computer Sarcopenia Predictive Value of Tests Aged Tomography, X-Ray Computed Male Muscle, Skeletal Body Composition Adult Adipose Tissue Middle Aged Female Reproducibility of Results
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Prognostic networks for unraveling the biological mechanisms of Sarcopenia.

Mechanisms of ageing and development Aug 21, 2019
Sarcopenia is an age-related multifactorial process that involved several biological mechanisms, whose specific contribution and interplay is still unknown. The present study proposes prognostic networks based on machine learning approaches to unrave...
Female Aged Aged, 80 and over Male Sarcopenia Humans Machine Learning Prognosis
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Machine Learning for Automatic Paraspinous Muscle Area and Attenuation Measures on Low-Dose Chest CT Scans.

Academic radiology Jul 17, 2019
RATIONALE AND OBJECTIVES: To develop and evaluate an automated machine learning (ML) algorithm for segmenting the paraspinous muscles on chest computed tomography (CT) scans to evaluate for presence of sarcopenia.
Tomography, X-Ray Computed Paraspinal Muscles Female Humans Middle Aged Aged Machine Learning Sarcopenia Male Algorithms Radiation Dosage
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Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment.

The British journal of radiology Jun 24, 2019
OBJECTIVE: To investigate a fully automated abdominal CT-based muscle tool in a large adult screening population.
Sarcopenia Humans Abdominal Muscles Male Retrospective Studies Tomography, X-Ray Computed Deep Learning Image Interpretation, Computer-Assisted Middle Aged Female Cohort Studies Radiography, Abdominal Longitudinal Studies
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Sarcopenia: Beyond Muscle Atrophy and into the New Frontiers of Opportunistic Imaging, Precision Medicine, and Machine Learning.

Seminars in musculoskeletal radiology May 23, 2018
As populations continue to age worldwide, the impact of sarcopenia on public health will continue to grow. The clinically relevant and increasingly common diagnosis of sarcopenia is at the confluence of three tectonic shifts in medicine: opportunisti...
Absorptiometry, Photon Tomography, X-Ray Computed Humans Mass Screening Sarcopenia Machine Learning Precision Medicine
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ODIASP: An Open-Source Software for Automated SMI Determination-Application to an Inpatient Population.

Journal of cachexia, sarcopenia and muscle Aug 1, 2025
BACKGROUND: The diagnosis of malnutrition has evolved with the GLIM recommendations, which advocate for integrating phenotypic criteria, including muscle mass measurement. The GLIM framework specifically suggests using skeletal muscle index (SMI) ass...
Algorithms Retrospective Studies Tomography, X-Ray Computed Female Humans Software Middle Aged Sarcopenia Muscle, Skeletal Inpatients Aged Adult Male
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Automated three-dimensional body composition analysis identifies visceral adipose tissue radiodensity as a predictor of mortality and recurrence in colorectal cancer.

Clinical nutrition (Edinburgh, Scotland) Aug 1, 2025
BACKGROUND: Artificial intelligence enables automated three-dimensional (3D) volumetric body composition (BC) analysis from computed tomography (CT), opposed to single third lumbar vertebra (L3) slices alone. This study aimed to identify relationship...
Intra-Abdominal Fat Male Middle Aged Imaging, Three-Dimensional Body Composition Neoplasm Recurrence, Local Sarcopenia Humans Tomography, X-Ray Computed Predictive Value of Tests Aged Female Colorectal Neoplasms
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