2004Journal of medical imagingRequires access

Applicable value of multislice CT angiography in diagnosing and treating aorta aneurysms and dissections

Zhang Longjiang

Open publisher page 0 citations

Abstract

Objective:To explore the applicable value of multislice CT angiography (MSCTA) in diagnosing and treating aorta aeurysms and dissections.Methods:34 cases were performed MSCTA on a MX8000 scanner with slice thickness of 3.2mm, overlapping interval of 1.6mm, pitch 1.25. Scanning began at the time of 23s to 28s after the initiation of injection contrast media with the volume of 100ml and the rate of 3ml/s. Maxmium intensity projection, multiple reformation, shadowed surface display, virtual endoscopy and volume rendering were performed for all cases.Results:7 cases were normal, 16 cases aortic dissection, 7 cases aortic aneurysms, and 1 case left clavicle aneurysm, 1 case Marfan's syndrome, 1 case postoperation of dissection, 1 case follow-up of aortic intravascular stent among 34 cases.Conclusion:MSCTA has a positive applicable value in diagnosing and treating aortic aneurysms, axial images served as a basic method, which post-processing techniques as complementary for diagnosing aortic diseases.

About this research paper

What this paper is about

Objective:To explore the applicable value of multislice CT angiography (MSCTA) in diagnosing and treating aorta aeurysms and dissections.Methods:34 cases were performed MSCTA on a MX8000 scanner with slice thickness of 3.2mm, overlapping interval of 1.6mm, pitch 1.25. Scanning began at the time of 23s to 28s after the initiation of injection contrast media with the volume of 100ml and the rate of 3ml/s. Maxmium intensity projection, multiple reformation, shadowed surface display, virtual endoscopy and volume rendering were performed for all cases.Results:7 cases were normal, 16 cases aortic dissection, 7 cases aortic aneurysms, and 1 case left clavicle aneurysm, 1 case Marfan's syndrome, 1 case postoperation of dissection, 1 case follow-up of aortic intravascular stent among 34 cases.Conclusion:MSCTA has a positive applicable value in diagnosing and treating aortic aneurysms, axial images served as a basic method, which post-processing techniques as complementary for diagnosing aortic diseases.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Objective:To explore the applicable value of multislice CT angiography (MSCTA) in diagnosing and treating aorta aeurysms and dissections.Methods:34 cases were performed MSCTA on a MX8000 scanner with slice thickness of 3.2mm, overlapping interval of 1.6mm, pitch 1.25. Scanning began at the time of 23s to 28s after the initiation of injection contrast media with the volume of 100ml and the rate of 3ml/s. Maxmium intensity projection, multiple reformation, shadowed surface display, virtual endoscopy and volume rendering were performed for all cases.Results:7 cases were normal, 16 cases aortic dissection, 7 cases aortic aneurysms, and 1 case left clavicle aneurysm, 1 case Marfan's syndrome, 1 case postoperation of dissection, 1 case follow-up of aortic intravascular stent among 34 cases.Conclusion:MSCTA has a positive applicable value in diagnosing and treating aortic aneurysms, axial images served as a basic method, which post-processing techniques as complementary for diagnosing aortic diseases.

Key concepts: Medicine, Radiology, Maximum intensity projection, Volume rendering, Angiography, Aneurysm, Aorta, Multislice

Related papers

Back to paper searchBrowse research topicsOriginal source
Applicable value of multislice CT angiography in diagnosing and treating aorta aneurysms and dissections — Research Paper | ScholarLens