3D CT scan for perioperative identification of anatomical variations of lungs
The aim of this study is to investigate anatomical lung variations and vascular patterns using volumetric 3D computed tomography (CT) representations. We considered 24 major thoracic surgery performed in our ward. In these, we discovered some interesting anatomical variations of the main pulmonary f...
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Published in | Future oncology (London, England) Vol. 12; no. 23s; pp. 27 - 30 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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England
Future Medicine Ltd
01.12.2016
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Abstract | The aim of this study is to investigate anatomical lung variations and vascular patterns using volumetric 3D computed tomography (CT) representations.
We considered 24 major thoracic surgery performed in our ward. In these, we discovered some interesting anatomical variations of the main pulmonary fissures. These findings were not visible on the plain x-ray or during routine examination of a preoperative CT scan. After re-examination of 3D CT scan reconstruction the anatomical variations were detected.
General thoracic surgeons must familiarize themselves with anatomical variations in lungs. 3D images may aid the general thoracic surgeon in performing safer surgeries.
3D CT scan should be performed before surgery if possible. |
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AbstractList | Aim: The aim of this study is to investigate anatomical lung variations and vascular patterns using volumetric 3D computed tomography (CT) representations. Methods & results: We considered 24 major thoracic surgery performed in our ward. In these, we discovered some interesting anatomical variations of the main pulmonary fissures. These findings were not visible on the plain x-ray or during routine examination of a preoperative CT scan. After re-examination of 3D CT scan reconstruction the anatomical variations were detected. Discussion: General thoracic surgeons must familiarize themselves with anatomical variations in lungs. 3D images may aid the general thoracic surgeon in performing safer surgeries. Conclusion: 3D CT scan should be performed before surgery if possible. The aim of this study is to investigate anatomical lung variations and vascular patterns using volumetric 3D computed tomography (CT) representations. We considered 24 major thoracic surgery performed in our ward. In these, we discovered some interesting anatomical variations of the main pulmonary fissures. These findings were not visible on the plain x-ray or during routine examination of a preoperative CT scan. After re-examination of 3D CT scan reconstruction the anatomical variations were detected. General thoracic surgeons must familiarize themselves with anatomical variations in lungs. 3D images may aid the general thoracic surgeon in performing safer surgeries. 3D CT scan should be performed before surgery if possible. AIMThe aim of this study is to investigate anatomical lung variations and vascular patterns using volumetric 3D computed tomography (CT) representations.METHODS & RESULTSWe considered 24 major thoracic surgery performed in our ward. In these, we discovered some interesting anatomical variations of the main pulmonary fissures. These findings were not visible on the plain x-ray or during routine examination of a preoperative CT scan. After re-examination of 3D CT scan reconstruction the anatomical variations were detected.DISCUSSIONGeneral thoracic surgeons must familiarize themselves with anatomical variations in lungs. 3D images may aid the general thoracic surgeon in performing safer surgeries.CONCLUSION3D CT scan should be performed before surgery if possible. |
Author | Genova, Claudio Raffaele, Francesco Mancuso, Giovanna Cocchiara, Gerlando Galluzzo, Anna Geraci, Girolamo Midiri, Massimo Cajozzo, Massimo Fatica, Federica Caternicchia, Filippo |
AuthorAffiliation | 1IBFM-CNR, DIBIMED, University of Palermo, Palermo, Italy 2Thoracic Surgery Department, University of Palermo, Palermo, Italy 3University of Palermo, Palermo, Italy 4Radiology Department, University of Palermo, Palermo, Italy |
AuthorAffiliation_xml | – name: 2Thoracic Surgery Department, University of Palermo, Palermo, Italy – name: 1IBFM-CNR, DIBIMED, University of Palermo, Palermo, Italy – name: 4Radiology Department, University of Palermo, Palermo, Italy – name: 3University of Palermo, Palermo, Italy |
Author_xml | – sequence: 1 givenname: Anna surname: Galluzzo fullname: Galluzzo, Anna – sequence: 2 givenname: Federica surname: Fatica fullname: Fatica, Federica – sequence: 3 givenname: Filippo surname: Caternicchia fullname: Caternicchia, Filippo – sequence: 4 givenname: Girolamo surname: Geraci fullname: Geraci, Girolamo – sequence: 5 givenname: Giovanna surname: Mancuso fullname: Mancuso, Giovanna – sequence: 6 givenname: Francesco surname: Raffaele fullname: Raffaele, Francesco – sequence: 7 givenname: Claudio surname: Genova fullname: Genova, Claudio – sequence: 8 givenname: Gerlando surname: Cocchiara fullname: Cocchiara, Gerlando – sequence: 9 givenname: Massimo surname: Midiri fullname: Midiri, Massimo – sequence: 10 givenname: Massimo surname: Cajozzo fullname: Cajozzo, Massimo |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27690632$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1136_bcr_2020_238138 crossref_primary_10_1111_1759_7714_12448 crossref_primary_10_1007_s12194_019_00541_7 crossref_primary_10_1007_s10388_021_00852_y crossref_primary_10_2217_fon_2016_0465 crossref_primary_10_3389_fsurg_2022_1079857 |
Cites_doi | 10.1016/j.athoracsur.2012.04.137 10.1148/radiol.10081220 10.1016/0899-7071(92)90001-P 10.5115/acb.2014.47.4.253 10.1002/ca.20971 10.1148/radiographics.21.4.g01jl24861 10.1002/ca.20834 10.2217/fon.14.258 10.4066/AMJ.2013.1856 |
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Copyright | Anna Galluzzo 2016. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Snippet | The aim of this study is to investigate anatomical lung variations and vascular patterns using volumetric 3D computed tomography (CT) representations.
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SubjectTerms | Age Aged Aged, 80 and over anatomic variations Clinical medicine Contraindications CT reconstruction Female Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Imaging, Three-Dimensional - methods Localization Lung Neoplasms - diagnostic imaging Lung Neoplasms - pathology Lung Neoplasms - surgery lung surgery Lungs Male Medical imaging Middle Aged Patients Perioperative Period Pneumonectomy - methods Pulmonary arteries Software Strategic planning Surgery Thoracic surgery Thoracic Surgery, Video-Assisted - methods Tomography Tomography, X-Ray Computed - methods Veins & arteries Work stations |
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Title | 3D CT scan for perioperative identification of anatomical variations of lungs |
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