COMPARISON OF CT AND PET-CT FOR THE STAGING OF NON SMALL CELL LUNG CARCINOMA & IT'S IMPACT ON PATIENT MANAGEMENT
Background: Lung cancer remains one of the leading causes of cancer-related mortality worldwide. Among its subtypes, non-small cell lung carcinoma (NSCLC) accounts for approximately 80% of cases. Accurate staging of NSCLC is crucial for determining the most appropriate therapeutic approach and predicting patient outcomes. While contrast-enhanced computed tomography (CT) is the standard imaging modality for staging, integrated positron emission tomography-computed tomography (PET-CT) has emerged as a valuable tool, offering functional and metabolic insights beyond anatomical imaging. This study aims to compare the staging accuracy of PET Aim: -CT with contrast-enhanced CT thorax in NSCLC patients and evaluate the impact of PET-CT on disease staging and subsequent patient management. A cross-sectional Methods: study was conducted on 87 biopsy-proven NSCLC patients over a two-year period. Each patient underwent both contrast-enhanced CT and PETCT. Staging differences were analyzed, and statistical tests were applied to assess the sensitivity, specicity, and predictive values of each modality. Results: PET-CT led to upstaging in 27.59% of cases and downstaging in 4.60% of cases compared to CT alone. PET-CT demonstrated superior sensitivity and specicity, particularly in detecting satellite nodules, lymph node metastases, and distant metastases. It improved TNM staging accuracy and inuenced management decisions in 32% of cases, with 24% undergoing treatment modications based on PET-CT ndings. Conclusion: PET-CT provides a more comprehensive assessment of NSCLC staging compared to CT, reducing both under- and overestimation of disease extent. Its ability to rene staging and guide management decisions underscores its importance in NSCLC evaluation. Incorporating PETCT into routine staging protocols can enhance treatment planning and improve patient outcomes.
Authors
- Venugopal Kodumur
- Nitish Guduru
- Sai Priya Kintali
Institutions
- GSL Medical College & General Hospital (IN)
Publication Details
- Journal
- INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH
- Published
- 2025-03-01
- DOI
- https://doi.org/10.36106/ijsr/0209493
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00