Literature DB >> 15273615

High resolution CT anatomy of the pulmonary fissures.

Aamer Aziz1, Kazuto Ashizawa, Kenji Nagaoki, Kuniaki Hayashi.   

Abstract

RATIONALE AND
OBJECTIVES: Pulmonary interlobar fissures are important landmarks for proper identification of normal pulmonary anatomy and evaluation of disease. The purpose of this study was to define the radiologic anatomy of the pulmonary fissures using high resolution computed tomography (HRCT) in a large population.
METHODS: HRCT of the lungs from aortic arch to diaphragm was performed in 622 patients, with a slice thickness of 1 mm and slice interval of 10 mm. Major, minor, and accessory fissures were studied for their orientation and completeness.
RESULTS: Both major fissures were mostly facing laterally in their upper parts (100% and 89% right and left, respectively). The left major fissure faced medially (69%) while the right major fissure faced lateral (60%) in their lower parts. The right major fissure was more often incomplete (48% as compared with 43% on the left, P < 0.05). Minor fissures were convex superiorly with the apex in the anterolateral part of the base of the upper lobe, and were incomplete in 63% of cases. Azygos, inferior accessory, superior accessory, and left minor fissures were also seen in 1.2%, 8.6%, 4.6%, and 6.1% of the cases, respectively.
CONCLUSION: The pulmonary fissures are highly variable and the right major fissure differs considerably from the left. The fissures are often incomplete.

Entities:  

Mesh:

Year:  2004        PMID: 15273615     DOI: 10.1097/01.rti.0000131590.74658.24

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  25 in total

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Authors:  Premnath Reddy Karre; Gary Brooks Cooper
Journal:  BMJ Case Rep       Date:  2011-09-28

2.  Computerized assessment of pulmonary fissure integrity using high resolution CT.

Authors:  Jiantao Pu; Carl Fuhrman; Janet Durick; Joseph K Leader; Amy Klym; Frank C Sciurba; David Gur
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

3.  Volumetric thin-section CT: evaluation of pulmonaryinterlobar fissures.

Authors:  Chun Shuang Guan; Yan Xu; Dan Han; Jiang Hong Chen; Xin Lian Wang; Da Qing Ma
Journal:  Diagn Interv Radiol       Date:  2015 Nov-Dec       Impact factor: 2.630

4.  Automatic lung lobe segmentation using particles, thin plate splines, and maximum a posteriori estimation.

Authors:  James C Ross; Rail San José Estépar; Gordon Kindlmann; Alejandro Díaz; Carl-Fredrik Westin; Edwin K Silverman; George R Washko
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

5.  Variability of the pulmonary oblique fissures presented by high-resolution computed tomography.

Authors:  Meltem Gülsün; O Macit Ariyürek; R Bariş Cömert; Nevzat Karabulut
Journal:  Surg Radiol Anat       Date:  2006-02-07       Impact factor: 1.246

6.  Azygos lobe.

Authors:  Takako Mikami; Tatsuya Kawasaki; Tadaaki Kamitani
Journal:  J Saudi Heart Assoc       Date:  2013-05-22

7.  Quantifying normal geometric variation in human pulmonary lobar geometry from high resolution computed tomography.

Authors:  Ho-Fung Chan; Alys R Clark; Eric A Hoffman; Duane T K Malcolm; Merryn H Tawhai
Journal:  J Biomech Eng       Date:  2015-03-18       Impact factor: 2.097

Review 8.  Lung Ablation: Indications and Techniques.

Authors:  Bashir Akhavan Tafti; Scott Genshaft; Robert Suh; Fereidoun Abtin
Journal:  Semin Intervent Radiol       Date:  2019-08-19       Impact factor: 1.513

9.  Pulmonary lobe segmentation based on ridge surface sampling and shape model fitting.

Authors:  James C Ross; Gordon L Kindlmann; Yuka Okajima; Hiroto Hatabu; Alejandro A Díaz; Edwin K Silverman; George R Washko; Jennifer Dy; Raúl San José Estépar
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

10.  Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior.

Authors:  Felix J S Bragman; Jamie R McClelland; Joseph Jacob; John R Hurst; David J Hawkes
Journal:  IEEE Trans Med Imaging       Date:  2017-04-18       Impact factor: 10.048

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