AIMC Topic: Sarcopenia

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Deep-learning model for predicting physical fitness in possible sarcopenia: analysis of the Korean physical fitness award from 2010 to 2023.

Frontiers in public health Aug 8, 2023
INTRODUCTION: Physical fitness is regarded as a significant indicator of sarcopenia. This study aimed to develop and evaluate a deep-learning model for predicting the decline in physical fitness due to sarcopenia in individuals with potential sarcope...
Neural Networks, Computer Republic of Korea Female Humans Deep Learning Aged Sarcopenia Male Physical Fitness
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Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer.

JAMA network open Aug 1, 2023
IMPORTANCE: Sarcopenia is an established prognostic factor in patients with head and neck squamous cell carcinoma (HNSCC); the quantification of sarcopenia assessed by imaging is typically achieved through the skeletal muscle index (SMI), which can b...
Humans Retrospective Studies Female Squamous Cell Carcinoma of Head and Neck Male Head and Neck Neoplasms Middle Aged Sarcopenia Deep Learning
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Machine and deep learning-based clinical characteristics and laboratory markers for the prediction of sarcopenia.

Chinese medical journal Apr 7, 2023
BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In...
Deep Learning Sarcopenia Humans Algorithms Biomarkers Aged Aging
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Chest X-ray-based opportunistic screening of sarcopenia using deep learning.

Journal of cachexia, sarcopenia and muscle Dec 1, 2022
BACKGROUND: Early detection and management of sarcopenia is of clinical importance. We aimed to develop a chest X-ray-based deep learning model to predict presence of sarcopenia.
Deep Learning Mass Screening Hand Strength Aged Male Sarcopenia X-Rays Humans Female
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Sarcopenia identified by computed tomography imaging using a deep learning-based segmentation approach impacts survival in patients with newly diagnosed multiple myeloma.

Cancer Nov 22, 2022
BACKGROUND: Sarcopenia increases with age and is associated with poor survival outcomes in patients with cancer. By using a deep learning-based segmentation approach, clinical computed tomography (CT) images of the abdomen of patients with newly diag...
Humans Prospective Studies Prognosis Tomography, X-Ray Computed Muscle, Skeletal Retrospective Studies In Situ Hybridization, Fluorescence Deep Learning Multiple Myeloma Sarcopenia
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Robotic Esophagectomy Compared With Open Esophagectomy Reduces Sarcopenia within the First Postoperative Year: A Propensity Score-Matched Analysis.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer Nov 4, 2022
INTRODUCTION: Sarcopenia is a known risk factor for adverse outcomes after esophageal cancer (EC) surgery. Robot-assisted minimally invasive esophagectomy (RAMIE) offers numerous advantages, including reduced morbidity and mortality. However, no evid...
Esophagectomy Esophageal Neoplasms Propensity Score Robotics Minimally Invasive Surgical Procedures Robotic Surgical Procedures Humans Treatment Outcome Postoperative Complications Sarcopenia Lung Neoplasms
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An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral muscles.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Jul 19, 2022
PURPOSE: Imaging studies about the relevance of muscles in spinal disorders, and sarcopenia in general, require the segmentation of the muscles in the images which is very labour-intensive if performed manually and poses a practical limit to the numb...
Lumbosacral Region Muscles Deep Learning Humans Paraspinal Muscles Magnetic Resonance Imaging Retrospective Studies Sarcopenia
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Deep learning for automatic segmentation of paraspinal muscle on computed tomography.

Acta radiologica (Stockholm, Sweden : 1987) Mar 30, 2022
BACKGROUND: Muscle quantification is an essential step in sarcopenia evaluation.
Paraspinal Muscles Deep Learning Humans Sarcopenia Lumbar Vertebrae Tomography, X-Ray Computed
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Validation of a deep learning segmentation algorithm to quantify the skeletal muscle index and sarcopenia in metastatic renal carcinoma.

European radiology Mar 18, 2022
OBJECTIVES: To validate a deep learning (DL) algorithm for measurement of skeletal muscular index (SMI) and prediction of overall survival in oncology populations.
Kidney Neoplasms Sarcopenia Carcinoma, Renal Cell Humans Algorithms Muscle, Skeletal Retrospective Studies Deep Learning
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Editorial Comment: Pediatric Sarcopenia-Quest for Diagnosis.

AJR. American journal of roentgenology Mar 9, 2022
Humans Sarcopenia Tomography, X-Ray Computed Muscle, Skeletal Deep Learning Reference Values Child
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