COMPUTED TOMOGRAPHY IN DIFFERENTIATING BENIGN AND MALIGNANT PULMONARY NODULES TAKING HISTOPATHOLOGY AS GOLD STANDARD
The research involves retrospective analysis of CT imaging features (size, shape, margins, density, enhancement) and their correlation with histopathological results. The goal is to determine CT’s sensitivity, specificity, and diagnostic accuracy in differentiating nodules, identifying predictive markers of malignancy.
This study aims to improve diagnostic accuracy, reduce unnecessary invasive procedures, and support early detection of malignant nodules. As a final-year DMRD student at the University of Lahore, I am conducting this research for degree completion. I kindly request access to relevant data to advance this project and contribute to evidence-based diagnostic guidelines.
1: To evaluate the diagnostic accuracy of computed tomography (CT) in differentiating benign and malignant pulmonary nodules using histopathology as the gold standard
2: To identify and analyze specific CT imaging features (e.g., size, shape, margin characteristics, internal density, and enhancement patterns) that correlate with malignancy in pulmonary nodules.
3: To determine the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of CT in distinguishing benign from malignant pulmonary nodules.
4: To develop evidence-based imaging criteria for the use of CT in pulmonary nodule characterization, aiming to reduce the need for invasive diagnostic procedures in benign cases.
5: To contribute to the existing body of knowledge by providing data that can support the development of clinical guidelines for the management of pulmonary nodules.
SUPERVISOR I: Dr. Jameel Akhter
M.B.,B.S., DMRD
SUPERVISOR II: Prof. Dr. Muhammad Irfan Malik
MBBS, FCPS (Pulmonology), FRCP(Glasgow), FCCP(USA) CMT(UHS), European Diplomate In Adult Respiratory Medicine,