Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Diaphragm ultrasound makes it possible to diagnose diaphragmatic atrophy and dysfunction. Important indications include unclear dyspnea; diaphragmatic elevation; assessment of diaphragm dysfunction in pulmonary, neuromuscular and neurovascular diseases; and in critically ill patients before noninvasive and mechanical ventilation and follow-up of diaphragm thickness and function during mechanical ventilation with potential prediction of prolonged weaning. In patients with respiratory insufficiency and potential diaphragm dysfunction, it is possible to objectify the contribution of diaphragm dysfunction. In addition, assessment of diaphragmatic hernias, tumors and diaphragmatic dysfunction in COVID-19 and diaphragmatic ultrasound in sports medicine have been described. This narrative review includes the sonomorphology of the diaphragm, standardization of ultrasonographic investigation with transducer positions and ultrasound techniques, normal findings and diagnostic criteria for pathological findings. The correct sonographic measurement, calculation and evaluation can ultimately influence further therapeutic procedures for the patient suffering from diaphragm dysfunction in various diseases.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11857681 | PMC |
| http://dx.doi.org/10.3390/life15020239 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
AI Model Based on Diaphragm Ultrasound to Improve the Predictive Performance of Invasive Mechanical Ventilation Weaning: Prospective Cohort Study.
JMIR Form Res
September 2025
Department of Critical Care Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Provincial Geriatrics Institute, No. 106, Zhongshaner Rd, Guangzhou, 510080, China, 86 15920151904.
Background: Point-of-care ultrasonography has become a valuable tool for assessing diaphragmatic function in critically ill patients receiving invasive mechanical ventilation. However, conventional diaphragm ultrasound assessment remains highly operator-dependent and subjective. Previous research introduced automatic measurement of diaphragmatic excursion and velocity using 2D speckle-tracking technology.
View Article and Find Full Text PDFEffect of pressure biofeedback training combined with Liuzijue Qigong training on respiratory function improvement in post-stroke patients with tracheotomy and decannulation: study protocol for a randomised controlled trial.
BMJ Open
September 2025
School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
Introduction: Stroke causes neurological deficits and respiratory dysfunction, with prolonged bed rest exacerbating secondary pulmonary injury. This study evaluated the efficacy of pressure biofeedback training combined with Liuzijue Qigong (LQG) in improving functional outcomes and respiratory function in patients with tracheostomised stroke.
Methods And Analysis: This will be a parallel, single-centre randomised controlled trial involving 66 patients.
Functional Thoracic MRI: Recent Advances in Pulmonary Assessment.
Radiol Cardiothorac Imaging
October 2025
Edinburgh Imaging and Centre for Cardiovascular Science, Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom.
Functional thoracic MRI provides regional assessment of the three principal components of lung function: ventilation, perfusion, and gas exchange. It offers advantages over pulmonary function tests like spirometry, which yield only global measurements. MRI enables comprehensive evaluation of respiratory mechanics, including chest wall and diaphragm motion, dynamic large airway instability, and lung ventilation using various contrast mechanisms and gas agents.
View Article and Find Full Text PDFA novel personalized time-varying biomechanical model for estimating lung tumor motion and deformation.
Med Phys
August 2025
Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing, People's Republic of China.
Background: Accurate prediction of lung tumor motion and deformation (LTMD) is essential for precise radiotherapy. However, existing models often rely on static, population-based material parameters, overlooking patient-specific and time-varying lung biomechanics. Personalized dynamic models that capture temporal changes in lung elasticity are needed to improve LTMD prediction and guide treatment planning more effectively.
View Article and Find Full Text PDFTransformer-based multimodal precision intervention model for enhancing diaphragm function in elderly patients.
Front Comput Neurosci
August 2025
General Surgery Department, The Second Hospital of Jilin University, Changchun, Jilin, China.
Diaphragm dysfunction represents a significant complication in elderly patients undergoing mechanical ventilation, often resulting in extended intensive care stays, unsuccessful weaning attempts, and increased healthcare expenditures. To address the deficiency of precise, real-time decision support in this context, a novel artificial intelligence framework is proposed, integrating imaging, physiological signals, and ventilator parameters. Initially, a hierarchical Transformer encoder is employed to extract modality-specific embeddings, followed by an attention-guided cross-modal fusion module and a temporal network for dynamic trend prediction.
View Article and Find Full Text PDF