Triple Phase CT scan in Focal Liver Lesion with Histopathology Correlation
Background:The diagnostic evaluation of liver lesions is critical for accurate clinical management, and imaging plays a pivotal role in this process.This study focuses on assessing the diagnostic performance of triple-phase computed tomography (CT) in characterizing liver lesions, with its findings validated against histopathological results to ensure accuracy and reliability.This study evaluates the diagnostic performance of triple-phase computed tomography (CT) in the assessment of liver lesions, correlating its findings with histopathological results.Methods: This prospective cross-sectional study was conducted as a prospective cross-sectional study from December 2019 to September 2020, the research involved 60 patients who underwent triple-phase CT with subsequent histopathology for comparison. Results:The study found hepatocellular carcinoma (HCC) as the most common malignancy.Three enhancement patterns were observed: homogeneous, abnormal internal vessels, and heterogeneous enhancement, with the abnormal internal vessel pattern showing the highest specificity (90.6%) and positive predictive value (PPV) (78.6%).Rapid washout yielded a specificity of 87.5% and PPV of 72.2% for HCC diagnosis.Dynamic contrast CT demonstrated an overall sensitivity of 93%, specificity of 50%, PPV of 91%, and a diagnostic accuracy of 95.5% in distinguishing benign from malignant lesions. Conclusion:This study highlights the value of triple-phase CT for liver lesion characterization, supporting its use as a diagnostic tool to guide therapeutic decisions.
Authors
- Sagar Dahal (ORCID: https://orcid.org/0000-0002-2669-2434)
- Hensan Khadka (ORCID: https://orcid.org/0000-0001-9826-559X)
- Mamata Bhattarai
- Suraj Dahal (ORCID: https://orcid.org/0000-0003-3737-8376)
- Subaj Bhattarai (ORCID: https://orcid.org/0000-0001-8459-1917)
- Kamal Adhikari (ORCID: https://orcid.org/0000-0001-9431-5588)
- Bikash Bikram Adhikari
- Ramendra Kumar Raman
Publication Details
- Journal
- SSR Institute of International Journal of Life Sciences
- Published
- 2024-11-01
- DOI
- https://doi.org/10.21276/ssr-iijls.2024.10.6.10
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00