Objective: To determine long-term effects of transendoscopic, laser-assisted ventriculocordectomy (LAVC) on airway noise and performance in horses with naturally occurring left laryngeal hemiplegia.
Design: Retrospective case series.
Animals: 22 horses with left laryngeal hemiplegia treated by means of LAVC.
Procedures: Medical records were reviewed and initial complaint, intended use of the horse, duration of abnormal airway noise, preoperative performance level, endoscopic findings, surgical procedure, postoperative treatment, and complications were recorded. Follow-up telephone interviews with owners and trainers were conducted to determine time for return to intended use, level of postoperative performance, and percentage reduction in airway noise.
Results: All horses were examined because of excessive airway noise; 10 (45%) had concurrent exercise intolerance. Left ventriculocordectomy was performed in all 22 horses; bilateral ventriculocordectomy (right ventriculocordectomy was done 1 year later) was performed in 1 horse (5%). Complications occurred in 3 (14%) horses. Twenty (91%) horses returned to their intended use. Excessive airway noise was eliminated after surgery in 18 (82%) horses; exercise intolerance improved postoperatively in 8 of 10 horses. Three racing Thoroughbreds returned to racing; 1 additional racehorse returned to racing but required a laryngoplasty 1 year later to continue racing.
Conclusions And Clinical Relevance: Results suggested that LAVC was an effective procedure for elimination of excessive airway noise and improvement of performance in horses with left laryngeal hemiplegia.
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http://dx.doi.org/10.2460/javma.231.12.1868 | DOI Listing |
J Comput Assist Tomogr
November 2024
From the Department of Radiology and Radiological Science, Divisions of Cardiovascular and Thoracic Imaging, Medical University of South Carolina. Charleston, SC.
Background: The latest generation of computed tomography (CT) systems based on photon-counting detector promises significant improvements in several clinical applications, including chest imaging.
Purpose: The aim of the study is to evaluate the image quality of ultra-high-resolution (UHR) photon-counting detector CT (PCD-CT) of the lung using four sharp reconstruction kernels.
Material And Methods: This retrospective study included 25 patients (11 women and 14 men; median age, 71 years) who underwent unenhanced chest CT from April to May 2023.
Comput Biol Med
December 2024
Division of Obstructive Sleep Apnea Syndrome Diagnosis, School of Mechanical Engineering, College of Engineering, Yonsei University, Seoul, Republic of Korea; The Center for Hemodynamic Precision Medical Platform, Seoul, Republic of Korea. Electronic address:
Background And Objective: Computed tomography (CT) of the head and neck is crucial for diagnosing internal structures. The demand for substituting traditional CT with cone beam CT (CBCT) exists because of its cost-effectiveness and reduced radiation exposure. However, CBCT cannot accurately depict airway shapes owing to image noise.
View Article and Find Full Text PDFGeriatrics (Basel)
October 2024
Department of Physical Therapy, Faculty of Health Sciences, University of Granada, 18016 Granada, Spain.
(1) Background: Older adults with chronic stroke may experience compromised upper airway functions due to stroke-related changes and aging. This study aimed to evaluate the functional capacity of the upper airway in older adults with chronic stroke. (2) Methods: A total of 44 patients (22 in each group) were included in the study.
View Article and Find Full Text PDFComput Methods Programs Biomed
February 2025
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China; Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China; Department of Respiratory and Critical Care Medicine, Central Hospital Affiliated to Shenyang Medical College, Shenyang, China. Electronic address:
J Thorac Imaging
September 2024
Department of Radiology and Radiological Science, Medical University of South Carolina. Charleston, SC.
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