Introduction: In recent decades, airway reconstruction has become the treatment of choice for subglottic stenosis (SGS) in children, which is performed in either single or multiple stages. However, there is evidence in the literature that single-stage surgery is more effective.
Objective: To evaluate the success rate of single-stage laryngotracheoplasty (LTP) and cricotracheal resection (CTR) in patients that were treated in our hospital.
Materials And Method: We performed a retrospective study of children undergoing laryngotracheal reconstruction.
Results: Twenty-four children were included. The etiology of SGS was postintubation in 91.6% and congenital in 8.3%. One patient (4.2%) had grade 4 SGS, 17 (70.8%) presented with grade 3 SGS, 4 (16.6%) had grade 2 SGS, 1 (4.2%) had grade 3 SGS associated with glottic stenosis, and 1 (4.2%) had grade 3 SGS with tracheal stenosis. We performed 26 LTPs and 3 CTRs. Decannulation rates were 66% in the CTR procedures and 85.7% in the LTP procedures; the overall decannulation rate was 83.3%. All children presented with fever in the postoperative period, but were afebrile after the tube was removed.
Conclusion: Our series showed a decannulation rate of 83.3%.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432553 | PMC |
| http://dx.doi.org/10.7162/S1809-97772012000200010 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Management of benign airway stenosis-predictors of tracheal resection.
J Thorac Dis
November 2024
Department of Thoracic Surgery, University Hospitals Birmingham, Birmingham, UK.
Background: Benign airway stenoses are complex disorders that present with progressive dyspnoea, stridor, and significant respiratory distress. These conditions have a high recurrence rate and despite the plethora of endoscopic and open techniques available for treatment, the outcomes are variable. Our primary was to determine the pre-operative factors associated with an increased hazard of cricotracheal resection (CTR)/tracheal resection (TR) and reconstruction in cases of benign subglottic and tracheal strictures.
View Article and Find Full Text PDFAre We Missing Obstructive Sleep Apnea in Patients With Non-traumatic Subglottic Stenosis?
Ann Otol Rhinol Laryngol
December 2024
Department of Otolaryngology-Head and Neck Surgery, University of Colorado Denver, Aurora, CO, USA.
Objective: To investigate the association between subglottic stenosis (SGS) and obstructive sleep apnea (OSA).
Methods: This is a cross-sectional pilot cohort study conducted at a single tertiary academic center from 2022 to 2023. Subjects with non-traumatic SGS were recruited for enrollment.
Detecting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions Using T2w-Derived Radiomics Feature Maps in 3T Prostate MRI.
Curr Oncol
November 2024
Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Radiology, Hindenburgdamm 30, 12203 Berlin, Germany.
Prostate Imaging Reporting and Data System version 2.1 (PI-RADS) category 3 lesions are a challenge in the clinical workflow. A better detection of the infrequently occurring clinically significant prostate cancer (csPCa) in PI-RADS 3 lesions is an important objective.
View Article and Find Full Text PDFThe Study on Nondestructive Detection Methods for Internal Quality of Korla Fragrant Pears Based on Near-Infrared Spectroscopy and Machine Learning.
Foods
November 2024
College of Mechanical and Electronic Engineering, Tarim University, Alaer 843300, China.
Quality control and grading of Korla fragrant pears significantly impact their commercial value. Rapid and non-destructive detection of soluble solids content (SSC) and firmness is crucial to improving this. This study proposes a method combining near-infrared spectroscopy (NIRS) with machine learning for the rapid, non-destructive detection of SSC and firmness in Korla pears.
View Article and Find Full Text PDFThe RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.
Radiol Artif Intell
November 2024
From the Department of Radiology, Scripps Clinic Medical Group and University of California, San Diego, 200 W Arbor Dr, San Diego, CA 92103-8749 (J.D.R.); Department of Medical Imaging, St Michael's Hospital, Unity Health Toronto, Toronto, Canada (H.M.L., S.H., S.M., E.C.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.J., S.N.); Department of Radiology, The Ohio State University, Columbus, Ohio (L.M.P.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (B.S.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.); Department of Radiology, Duke University School of Medicine, Durham, NC (K.M.); Department of Radiology, Weill Cornell Medicine, New York, NY (G.S.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.A.D.); Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, Calif (J.M.); Departments of Radiological Sciences and Computer Science, University of California, Irvine, Irvine, Calif (P.D.C.); Department of Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada (F.H.B.); Department of Radiology, Alfred Health, Monash University, Melbourne, Australia (M.L.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany (J.P.G., A.S.K.); Department of Medical Imaging, Mater Dei Hospital, Msida, Malta (S.G.S.); Department of Diagnostic Radiology, Kingston Health Sciences Center, Queen's University, Kingston, Canada (A.D.C.); Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tübingen, Tübingen, Germany (S.A.); Division of Nephrology, Department of Internal Medicine, China Medical University Hospital and College of Medicine, China Medical University, Taichung, Taiwan (C.C.K.); Big Data Center, China Medical University Hospital, Taichung, Taiwan (C.C.K.); AKI-CARE (Clinical Advancement, Research and Education) Center, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan (C.C.K.); Department of Medical Imaging, Liverpool Hospital, Sydney, Australia (L.A.); Department of Radiology, Hospital Universitario Ramón y Cajal, Madrid, Spain (A.V.C.); Department of Radiology, Gold Coast University Hospital, Griffith University, Gold Coast, Australia (A.S.); Department of Medical Imaging, Clínica Santa María, Santiago, Chile (F.A.S.T.); Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand (A.J.); Department of Radiology, University Hospitals Cleveland Medical Center and Case Western Reserve University School of Medicine, Cleveland, Ohio (L.K.B.); Department of Radiology, Tallaght University Hospital, Dublin, Ireland (M. Brassil); Department of Radiology, Arrazi Hospital, CHU Mohamed VI Cadi Ayyad University, Marrakech, Morocco (A.E.H.); Department of Radiology, Koç University School of Medicine, Istanbul, Turkey (H.D.); Clinical Center University of Sarajevo, Sarajevo, Bosnia and Herzegovina (M. Becircic); Department of Diagnostic Radiology, Medical College of Wisconsin, Milwaukee, Wis (A.G.B.); Department of Diagnostic Imaging, Universidade Federal de São Paulo, São Paulo, Brazil (E.M.J.d.M.F.); and Department of Medical Imaging, University of Toronto, Toronto, Canada (S.M., S.H., E.C.).
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!