CC BY-NC-ND 4.0 · Laryngorhinootologie 2020; 99(S 02): S46
DOI: 10.1055/s-0040-1710842
Abstracts
Imaging/Sonography

Dimensions of the laryngo-tracheal junction in the MRI of an epidemiologic cohort

Achim Georg Beule
1   Univ. HNO-Klinik Münster
,
C Schmidt
2   HNO-Uniklinik Greifswald Greifswald
,
H Völzke
3   Institut für Community Medicine Greifswald Greifswald
,
Sönke Langner
4   Institut für Diagnostische und Interventionelle Radiologie der Universitätsmedizin Rostock Rostock
,
W Hosemann
2   HNO-Uniklinik Greifswald Greifswald
,
T Ivanovska
5   Department for Computational Neuroscience Göttingen
› Author Affiliations
 

Introduction Diseases of the laryngo-tracheal junction (LTJ) are rare, but critical conditions. Data for the normative diameter are missing to serev as a surgical target and to assess the relevance of residual stenosis in patients with multiple airway problems. Aim of this study was to develop a protocol and provide first normative data, as well as to assess previously reported risk factors

Methods Using 100 randomly chosen MRI scans of the Study of Health in Pomerania (SHIP) a reliable protocol to measure the airway dimensions was developed. Using MeVisLab Version 2.4, 801 MRIs of the LTJ and 3.226 data sets of the cricoid arch. On each obtained scan, the maximal anterior-posteriore diameter (APmax), maximal transversal diameter (LLmax) and the crosse sectional area (CSA) was measured

Results 4165 MRI showed sufficient quality for analysis. Of these, the mean APmax was 18,1 ± 2,7 mm, mean LLMax was 14,8 ±2,5mm and the CSA was 212 ± 63,2 mm 2. gender and a previously diagnosed thyroid disease were significant confounding factors.

Discussion For the first time, epidemiologically based dimensions can be presented to serve as comparative data in case of stenosis of the LTJ or as a help in choosing a stent of a maximal intubation tube. Also, these data have the potential to aid in the counselling of patients with multiple airway stenoses.

Poster-PDF A-1618.PDF



Publication History

Article published online:
10 June 2020

© 2020. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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