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

Document Type : Original Article

Authors

1 Radiology department-faculty of medicine-Zagazig university

2 Radiodiagnosis Department, Faculty of Medicine, Zagazig, Egypt

3 radiology department, Faculty of medicine

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.

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