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Multi-slice CT Analysis and Identification of Anatomical Types of Segmental Bronchi in Right Superior Lobe.

Authors :
Javed S
Mei Y
Zhang Y
Wan D
Liu H
Liu C
Liu S
Source :
Current medical imaging [Curr Med Imaging] 2023 Jul 20. Date of Electronic Publication: 2023 Jul 20.
Publication Year :
2023
Publisher :
Ahead of Print

Abstract

Purpose: The aims were to assess different branching patterns of segmental bronchi in the right superior lobe (RSL), as well as to investigate the anatomical diversity and sex-related variations of these branches in a large sample of the research population.<br />Methods: 10,000 participants (5428 males, and 4,572 females, mean age 50+/-13.5 years [SD] years; age range: 3-91 years) who underwent multi-slice CT (MSCT) scans from September 2019 to December 2021 were retrospectively included. The data were applied to generate three-dimensional (3D) and virtual bronchoscopy (VB) simulations of a bronchial tree using the syngo.via post-processing workstation. Following that, the reconstructed images were interpreted to identify and categorize various bronchial patterns in the RSL. Cross-tabulation analysis and the Pearson chi-square test (χ2) were used to calculate the component ratios of bronchial branch types and determine their relevance between male and female groups.<br />Results: Our results revealed mainly six types for the RSL bronchial tree, i.e., (B1, B2, B3, 60.70%); (B1+2, B3, 18.72%); (B2+3, B1, 6.68%); (B1+3, B2, 7.57%); (B1, B2, B3, B*, 3.19%); (B1a+B3, B1b+B2, 3.14%). There were significant sex-related differences in the proportion of bronchial branches in the RSL (P< 0.05).<br />Conclusion: The current study has validated the presence of segmental bronchial variations in the RSL. These findings may have significant implications for diagnosing symptomatic patients and performing particular procedures, including bronchoscopy, endotracheal intubation, and lung resection.<br /> (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Details

Language :
English
ISSN :
1573-4056
Database :
MEDLINE
Journal :
Current medical imaging
Publication Type :
Academic Journal
Accession number :
37489786
Full Text :
https://doi.org/10.2174/1573405620666230720103122