1. MDCT at LUMHS: Detection of the Small Pulmonary Nodules by Use of Maximum Intensity Projection Images
Adnan Ahmed1, Suhail Ahmed Almani2, Muhammad Iqbal2 and Zubair Suhail Almani2
ABSTRACT
Objective: To assess the benefit of computed tomography by using Maximum Intensity Projection (MIP) compare to Volume Rendering (VR) reconstructions to study pulmonary metastases. Study Design: Observational / descriptive study.
Place and Duration of Study: This study was conducted at Radiology Department of Liaquat Medical University Hospital Hyderabad from July 2015 to April 2016.
Materials and Methods: Computed tomography studies of 30 pulmonary metastatic cases were reviewed retrospectively. Images were evaluated as number of the nodules. Two viewers on VR & MIP reconstructions on axial-source images assessed these parameters. Independent evaluation of the MIP & VR images was done by well experienced chest radiologist. In the course of independent image assessment, each pulmonary nodule was indicated by an arrow as well as recorded in the Performa.
Results: A total of 30 cases were integrated in our study. The mean age of the cases was 52.12 ± 7.33 years. Out of 30 cases male were in majority 24(80%). Total 334 nodules were detected by MIP images, while out of them 276 were detected by VR images and 58 were missed, therefore MIP images is the significantly more detectable technique for pulmonary nodules detection. P= value 0.001. Following by central 253 nodules were detected by MIP images, out of them 40 nodules missed by VR images and 113 were detected, with significant difference P value = 0.001. Similarly all the peripheral nodules were also significantly more detected by MIP images, as compare to VR images. P value = 0.001
Conclusion: Maximum intensity projection is more useful and best technique, to detect the small pulmonary nodules especially in central lung.
Key Words: Small pulmonary nodules, MIP, VR
Citation of article: Ahmed A, Almani SA, Iqbal M, Almani ZS. MDCT at LUMHS: Detection of the Small Pulmonary Nodules by Use of Maximum Inte sity Pr jection Images. Med Forum 2016;27(8):2-5.