Document Type : Original Article
Authors
1
department of radiology , faculty of medicine , minia university , Minia , Egypt
2
Radiodiagnosis department, Faculty of Medicine, Minia university, El-Minya, Egypt
3
Radiology Department, Minia University, Minia, Egypt
4
radiology department .faculty of medicine minia university
Abstract
The inability of computed tomography (CT) to identify lung nodules is an established clinical issue in radiology.It is common knowledge that radiologist and traditional CT scans fail to identify tiny lesions, and that this is especially true when the lump is near to another nodule in the lung.When it comes to imaging modalities,CT chest has the best sensitivity for pulmonary identification.
Work Objective:Using Maximum Intensity Projection (MIP) images and Volume Rendering (VR), our study aims to investigate the accuracy of Computed Tomography (CT) in detecting tiny pulmonary nodules in suspected metastatic lesions in cancer patients.
Procedures : After receiving clearance from the hospital ethics committee/review board,a prospective observational research was carried out on 60 patients with lung metastases. The research took place at the radiology departments of El Minia University Hospital and the El Minia Oncology Center.
Sixty patients, ranging in age from eighteen to sixty, were enrolled in the present study after being referred from the chest department for the presence of pulmonary nodules.The number and size of nodules were assessed using both MIP and VR methods. There was a statistically significant difference in 4,7,and 10 mm slip thickness when comparing the number of pulmonary nodules smaller than 6 mm between MIP and VR, with P‐values of 0.001,0.001,and 0.001,respectively.The number of discovered nodules varied dramatically according to the slip thickness, with 10 mm being much greater than 4 mm and 7 mm, according to a statistical analysis of the lung nodules.
The following terms are associated with pulmonary nodules:MDCT,MIP,VR.
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