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Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Research Article

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

Author(s): Saeed Javed, Yixuan Mei, Yi Zhang, Dian Wan, Hailan Liu, Cheng Liu and Shuwei Liu*

Volume 20, 2024

Published on: 29 August, 2023

Article ID: e200723218927 Pages: 9

DOI: 10.2174/1573405620666230720103122

open_access

Open Access Journals Promotions 2
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.

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.

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).

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.

Keywords: 3D Anatomy, Bronchopulmonary Segments, Computed Tomography (CT), Virtual Bronchoscopy (VB), Cross-tabulation analysis, superior lobe.

[1]
Mehran RJ. Fundamental and Practical Aspects of Airway Anatomy. Thorac Surg Clin 2018; 28(2): 117-25.
[http://dx.doi.org/10.1016/j.thorsurg.2018.02.003] [PMID: 29627044]
[2]
Krause GR, Lubert M. The anatomy of the bronchopulmonary segments: Clinical applications. Radiology 1951; 56(3): 333-54.
[http://dx.doi.org/10.1148/56.3.333] [PMID: 14834409]
[3]
Room C. NOMENCLATURE of broncho-pulmonary anatomy; an international nomenclature accepted by the Thoracic Society. Thorax 1950; 5(3): 222-8.
[http://dx.doi.org/10.1136/thx.5.3.222] [PMID: 14776714]
[4]
Boyden EA. Segmental anatomy of the lungs: A study of the patterns of the segmental bronchi and related pulmonary vessels. New York: McGraw-Hill 1955.
[http://dx.doi.org/10.1002/bjs.18004317729]
[5]
Chassagnon G, Morel B, Carpentier E, Ducou Le Pointe H, Sirinelli D. Tracheobronchial branching abnormalities: Lobe-based classification scheme. Radiographics 2016; 36(2): 358-73.
[http://dx.doi.org/10.1148/rg.2016150115] [PMID: 26824513]
[6]
Zhao X, Ju Y, Liu C, et al. Bronchial anatomy of left lung: A study of multi-detector row CT. Surg Radiol Anat 2009; 31(2): 85-91.
[http://dx.doi.org/10.1007/s00276-008-0404-8] [PMID: 18726542]
[7]
D’Antoni AV. The Anatomical Basis of Clinical Practice. Clin Anat 2016; 29(2): 264-5.
[8]
Mori K, Ema S, Kitasaka T, Mekada Y, Ide I, Murase H, et al. Automated nomenclature of bronchial branches extracted from CT images and its application to biopsy path planning in virtual bronchoscopy. Med Image Comput Comput Assist Interv 2005; 8(Pt 2): 854-61.
[http://dx.doi.org/10.1007/11566489_105]
[9]
Nagashima T, Shimizu K, Ohtaki Y, et al. An analysis of variations in the bronchovascular pattern of the right upper lobe using three-dimensional CT angiography and bronchography. Gen Thorac Cardiovasc Surg 2015; 63(6): 354-60.
[http://dx.doi.org/10.1007/s11748-015-0531-1]
[10]
Pitel M, Boyden EA. Variations in the bronchovascular patterns of the left lower lobe of fifty lungs. J Thorac Surg 1953; 26(6): 633-53.
[http://dx.doi.org/10.1016/S0096-5588(20)30791-1] [PMID: 13109892]
[11]
le Roux BT. The bronchial anatomy of the left upper lobe. J Thorac Cardiovasc Surg 1962; 44(2): 216-24.
[http://dx.doi.org/10.1016/S0022-5223(19)32975-7] [PMID: 14463190]
[12]
Naidich DP, Zinn WL, Ettenger NA, McCauley DI, Garay SM. Basilar segmental bronchi: Thin-section CT evaluation. Radiology 1988; 169(1): 11-6.
[http://dx.doi.org/10.1148/radiology.169.1.3420245] [PMID: 3420245]
[13]
Lee KS, Bae WK, Lee BH, Kim IY, Choi EW, Lee BH. Bronchovascular anatomy of the upper lobes: Evaluation with thin-section CT. Radiology 1991; 181(3): 765-72.
[http://dx.doi.org/10.1148/radiology.181.3.1947094] [PMID: 1947094]
[14]
Beder S, Küpeli̇ E, Karnak D, Kayacan O. Tracheobronchial variations in Turkish population. Clin Anat 2008; 21(6): 531-8.
[http://dx.doi.org/10.1002/ca.20667] [PMID: 18698650]
[15]
Sealy WC, Connally SR, Dalton ML. Naming the bronchopulmonary segments and the development of pulmonary surgery. Ann Thorac Surg 1993; 55(1): 184-8.
[http://dx.doi.org/10.1016/0003-4975(93)90507-E] [PMID: 8417676]
[16]
Hammond E, Chan KS, Ames JC, et al. Impact of advanced detector technology and iterative reconstruction on low-dose quantitative assessment of lung computed tomography density in a biological lung model. Med Phys 2018; 45(8): 3657-70.
[http://dx.doi.org/10.1002/mp.13057] [PMID: 29926932]
[17]
Dalrymple NC, Prasad SR, Freckleton MW, Chintapalli KN. Informatics in radiology (infoRAD): Introduction to the language of three-dimensional imaging with multidetector CT. Radiographics 2005; 25(5): 1409-28.
[http://dx.doi.org/10.1148/rg.255055044] [PMID: 16160120]
[18]
Horton KM, Horton MR, Fishman EK. Advanced visualization of airways with 64-MDCT: 3D mapping and virtual bronchoscopy. AJR Am J Roentgenol 2007; 189(6): 1387-96.
[http://dx.doi.org/10.2214/AJR.07.2824] [PMID: 18029875]
[19]
Kiraly AP, Helferty JP, Hoffman EA, McLennan G, Higgins WE. Three-dimensional path planning for virtual bronchoscopy. IEEE Trans Med Imaging 2004; 23(11): 1365-79.
[http://dx.doi.org/10.1109/TMI.2004.829332] [PMID: 15554125]
[20]
Li Y, Xia L. Coronavirus disease 2019 (COVID-19): Role of chest CT in diagnosis and management. AJR Am J Roentgenol 2020; 214(6): 1280-6.
[http://dx.doi.org/10.2214/AJR.20.22954] [PMID: 32130038]
[21]
Rosell J, Cabras P. A three-stage method for the 3D reconstruction of the tracheobronchial tree from CT scans. Comput Med Imaging Graph 2013; 37(7-8): 430-7.
[http://dx.doi.org/10.1016/j.compmedimag.2013.07.003] [PMID: 23981684]
[22]
Wahidi MM, Shojaee S, Lamb CR, et al. The Use of Bronchoscopy During the Coronavirus Disease 2019 Pandemic. Chest 2020; 158(3): 1268-81.
[http://dx.doi.org/10.1016/j.chest.2020.04.036] [PMID: 32361152]
[23]
Ghaye B, Szapiro D, Fanchamps JM, Dondelinger RF. Congenital bronchial abnormalities revisited. Radiographics 2001; 21(1): 105-19.
[http://dx.doi.org/10.1148/radiographics.21.1.g01ja06105] [PMID: 11158647]
[24]
Scannell JG. Bronchographic anatomy of the lungs. Surg Clin North Am 1949; 29(2): 573-81.
[http://dx.doi.org/10.1016/S0039-6109(16)32701-3] [PMID: 18116827]
[25]
Perhomaa M, Lähde S, Rossi O, Suramo I. Helical CT in evaluation of the bronchial tree. Acta Radiol 1997; 38(1): 83-91.
[http://dx.doi.org/10.1080/02841859709171247] [PMID: 9059407]
[26]
Huang M, Wang T, Wang X, Zhao X. An anatomical study of the right bronchial tree using multi-detector computed tomography. Surg Radiol Anat 2019; 41(3): 335-8.
[http://dx.doi.org/10.1007/s00276-019-02199-7] [PMID: 30725216]
[27]
Wang T, Meng M, Huang M, Zhao X. Variations of right bronchial tree: A study with multi-detector CT. Surg Radiol Anat 2018; 40(8): 955-8.
[http://dx.doi.org/10.1007/s00276-018-2033-1] [PMID: 29725762]
[28]
Gariani J, Martin SP, Botsikas D, Becker CD, Montet X. Evaluating the effect of increased pitch, iterative reconstruction and dual source CT on dose reduction and image quality. Br J Radiol 2018; 91(1088): 20170443.
[http://dx.doi.org/10.1259/bjr.20170443] [PMID: 29762055]
[29]
Reck M, Rabe KF. Precision Diagnosis and Treatment for Advanced Non–Small-Cell Lung Cancer. N Engl J Med 2017; 377(9): 849-61.
[http://dx.doi.org/10.1056/NEJMra1703413] [PMID: 28854088]
[30]
Salvolini L, Bichi Secchi E, Costarelli L, De Nicola M. Clinical applications of 2D and 3D CT imaging of the airways — a review. Eur J Radiol 2000; 34(1): 9-25.
[http://dx.doi.org/10.1016/S0720-048X(00)00155-8] [PMID: 10802203]
[31]
Yang Q, Xie B, Hu M, Sun X, Huang X, Guo M. Thoracoscopic anatomic pulmonary segmentectomy: A 3-dimensional guided imaging system for lung operations. Interact Cardiovasc Thorac Surg 2016; 23(2): 183-9.
[http://dx.doi.org/10.1093/icvts/ivw085] [PMID: 27099268]
[32]
Wu WB, Xu XF, Wen W, Xu J, Zhu Q, Chen L. Thoracoscopic Pulmonary Sub-Subsegmentectomy Based on Three-Dimensional Images. Ann Thorac Surg 2016; 102(5): e389-91.
[http://dx.doi.org/10.1016/j.athoracsur.2016.04.048] [PMID: 27772588]
[33]
Ugalde P, Camargo JJ, Deslauriers J. Lobes, fissures, and bronchopulmonary segments. Thorac Surg Clin 2007; 17(4): 587-99.
[http://dx.doi.org/10.1016/j.thorsurg.2006.12.008] [PMID: 18271171]
[34]
Fetita CI, Prêteux F, Beigelman-Aubry C, Grenier P. Pulmonary airways: 3-D reconstruction from multislice CT and clinical investigation. IEEE Trans Med Imaging 2004; 23(11): 1353-64.
[http://dx.doi.org/10.1109/TMI.2004.826945] [PMID: 15554124]
[35]
Keenan RJ, Landreneau RJ, Maley RH Jr, et al. Segmental resection spares pulmonary function in patients with stage I lung cancer. Ann Thorac Surg 2004; 78(1): 228-33.
[http://dx.doi.org/10.1016/j.athoracsur.2004.01.024] [PMID: 15223434]

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