Evaluating Imaging-Based Techniques for Diagnosis and Analysis of Lung Adenocarcinoma

This study explores current imaging-based techniques involved in the diagnosis of Lung Adenocarcinoma (LUAD), one of the most common forms of lung cancer. Diagnosis of LUAD includes the use of techniques, such as MRI, CT, PET-CT and CECT to identify and treat malignant tumours. This research compares the ability of each diagnosis technique to track positive cases of LUAD. It analyses between CECT, CT and PET-CT in terms of recognising the number of TP, TN, FP and FN cases reported. The paper shows that in terms of LUAD and LUSC, Gene expression analysis revealed higher ENO1 levels in LUSC, indicating greater FDG uptake and suggesting that PET/CT may be more effective for LUSC than LUAD. These data analyses of other peer-reviewed studies highlight the importance of selecting the right medical tools in clinical contexts. It highlights the importance of diagnostic efficacy within clinical contexts and the need for new ways to improve detection accuracy. Overall, the study shows a multi-leveled relationship between tumour biology and diagnostic performance, which can be harnessed to aid the diagnosis of Lung Adenocarcinoma.