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112498

Incremental benefit of maximum intensity projection images on detection of metastatic small pulmonary nodules revealed by Multi-detector CT

Article

Last updated: 01 Jan 2025

Subjects

-

Tags

Radiodiagnosis

Abstract

Background: Difficulty of detecting pulmonary nodules on CT is a common clinical problem in radiology.Lung nodules of less than 10mm in size can be very easily over looked specially when located close to nodules& however Failure of both convintional CT and the radiologist to detect small lesions is well known vessels.CT chest is the imaging modality with the highest sensitivity for detection of pulmonary. Aim and objectives: To prove that multi-detector computed tomography (MDCT) with maximum intensity projections (MIP) is more accurate than conventional MDCT in detection of metastatic small pulmonary nodules. Subjects and methods: This study was a cross sectional study that was performed in Radio-diagnosis Department, Zagazig university hospitals during the period from March to December 2019 and included 24 patients with metastatic cancer to the lung. All patients were subjected to complete history taking, full clinical examination, laboratory examination; kidney function tests and radiological examination including Multi-detector CT, post contrast studies and processing "MIP reconstruction image". All examinations were reviewed by two readers. Results: There was a significant difference between axial CT and MIP in numbers of pulmonary metastatic nodules detected. The diagnostic performance of MIP was statistically highly significant compared with axial CT in detection of small nodules. There was a highly significant difference in detection time of nodules between both reviewers regarding axial CT and MIP images. Conclusion: The use of axial MIP images for small pulmonary nodule detection improves the diagnostic performance when compared with conventional source axial thin-slice MDCT images alone.

DOI

10.21608/zumj.2020.29112.1833

Keywords

Multi-detector CT, MIP, Radiology

Authors

First Name

Muhammad

Last Name

Abdelaal

MiddleName

-

Affiliation

Radiology department-faculty of medicine-Zagazig university

Email

muh.tharwat@yahoo.com

City

Awlad Sakr- El sharqia

Orcid

-

First Name

Fatma

Last Name

zaiton

MiddleName

-

Affiliation

Radiodiagnosis Department, Faculty of Medicine, Zagazig, Egypt

Email

fatmamzaiton@hotmail.com

City

-

Orcid

0000-0003-2151-1144

First Name

Hamed

Last Name

Gobran

MiddleName

Abdalhakim

Affiliation

Radiodiagnosis Department, Faculty of Medicine, Zagazig, Egypt

Email

hamed_gobran@yahoo.com

City

-

Orcid

-

First Name

Heba

Last Name

Tantawy

MiddleName

F.

Affiliation

radiology department, Faculty of medicine

Email

hebatantawy1980@gmail.com

City

-

Orcid

0000-0001-5932-303X

Volume

29

Article Issue

1.2

Related Issue

39915

Issue Date

2023-01-01

Receive Date

2020-04-30

Publish Date

2023-01-01

Page Start

1

Page End

8

Print ISSN

1110-1431

Online ISSN

2357-0717

Link

https://zumj.journals.ekb.eg/article_112498.html

Detail API

https://zumj.journals.ekb.eg/service?article_code=112498

Order

546

Type

Original Article

Type Code

273

Publication Type

Journal

Publication Title

Zagazig University Medical Journal

Publication Link

https://zumj.journals.ekb.eg/

MainTitle

Incremental benefit of maximum intensity projection images on detection of metastatic small pulmonary nodules revealed by Multi-detector CT

Details

Type

Article

Created At

30 Dec 2024