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Author Jean, Smith ♦ Cinel, Ismail ♦ Tay, Christina ♦ Parrillo, Joseph E. ♦ Dellinger, R. Phillip
Source World Health Organization (WHO)-Global Index Medicus
Content type Text
Publisher Lippincott Williams & Wilkins
File Format HTM / HTML
Language English
Difficulty Level Medium
Subject Domain (in DDC) Computer science, information & general works ♦ Library & information sciences ♦ Social sciences ♦ Social problems & services; associations ♦ Social welfare problems & services ♦ Natural sciences & mathematics ♦ Life sciences; biology ♦ Physiology & related subjects ♦ Natural history of organisms ♦ Technology ♦ Medicine & health ♦ Human anatomy, cytology, histology ♦ Human physiology ♦ Pharmacology and therapeutics ♦ Diseases ♦ Manufacture for specific uses ♦ Precision instruments & other devices
Subject Domain (in MeSH) Respiratory System ♦ Anatomy ♦ Eukaryota ♦ Organisms ♦ Respiratory Tract Diseases ♦ Diseases ♦ Diagnosis ♦ Therapeutics ♦ Analytical, Diagnostic and Therapeutic Techniques and Equipment ♦ Physical Phenomena ♦ Circulatory and Respiratory Physiological Phenomena ♦ Biological Sciences ♦ Information Science ♦ Information Science ♦ Persons ♦ Persons ♦ Health Care Facilities, Manpower, and Services ♦ Health Care
Subject Keyword Discipline Anesthesiology ♦ Lung Diseases ♦ Diagnosis ♦ Lung ♦ Physiopathology ♦ Respiration ♦ Signal Processing, Computer-assisted ♦ Vibration ♦ Adult ♦ Female ♦ Humans ♦ Intensive Care Units ♦ Male ♦ Middle Aged ♦ Radiography, Thoracic ♦ Respiration, Artificial ♦ Journal Article ♦ Research Support, Non-u.s. Gov't
Abstract BACKGROUND: Vibration response imaging (VRI) is a computer-based technology that creates a visual dynamic two-dimensional image of distribution of vibration within the lung during the respiratory process. The acoustic signals, recorded from 36 posteriorly positioned surface skin sensors, are transferred to a hardware board where several stages of filtering are applied to select a specific frequency band. The filtered output signal frequencies are presented as a gray-scale coded dynamic image, consisting of a series of 0.17 s frames, and as a table featuring the percentage contribution of each lung to the total vibration signal. METHODS: We describe the VRI technology in detail and examine images obtained from consecutive intensive care unit (ICU) patients with one diseased lung on chest radiograph. ICU patients with normal chest radiographs are presented as controls. Analysis of the image was performed by comparing the weighted pixel count analysis from both lungs. In this method, the pixels in the image were assigned values based on their grayscale color with the darker pixels assigned higher values. RESULTS: In patients with normal chest radiographs, the right and left lungs developed similarly in dynamic VRI images, and the percent lung vibrations from both sides were comparable (53%+/-12% and 47%+/-12%, respectively). In ICU patients with asymmetric lung disease, however, the percent lung vibrations from the diseased and nondiseased lungs were 27%+/-23% and 73%+/-23%, respectively (P<0.001). In patients with asymmetric lung disease (one lung has moderate to severe disease and the other appears normal or close to normal as per chest radiograph), the diseased lung usually appeared in VRI as irregular, smaller, and lighter in color (reduced vibration signal) when compared to the nonaffected lung. The weighted pixel count from diseased and nondiseased lungs were 33%+/-21% and 67%+/-21%, respectively (P < 0.003). CONCLUSION: The VRI technology may provide a radiation-free method for identifying and tracking of asymmetric lung parenchymal processes.
Description Country affiliation: United States
Author Affiliation: Jean S ( Department of Medicine, Robert Wood Johnson School of Medicine, University of Medicine and Dentistry of New Jersey, Cooper University Hospital, Camden, NJ 08103, USA.)
ISSN 00032999
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Reading ♦ Research ♦ Self Learning
Interactivity Type Expositive
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2008-10-01
Publisher Place United States
e-ISSN 15267598
Journal Anesthesia & Analgesia
Volume Number 107
Issue Number 4


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Source: WHO-Global Index Medicus