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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Triple Phase CT scan in Focal Liver Lesion with Histopathology Correlation

Sagar Dahal, Hensan Khadka, Mamata Bhattarai, Suraj Dahal et al.
SSR Institute of International Journal of Life Sciences
Advanced X-ray and CT Imaging
article

Triple Phase CT scan in Focal Liver Lesion with Histopathology Correlation

Sagar Dahal, Hensan Khadka, Mamata Bhattarai, Suraj Dahal, Subaj Bhattarai, Kamal Adhikari, Bikash Bikram Adhikari, Ramendra Kumar Raman
article en

Abstract

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.

SSR Institute of International Journal of Life SciencesVol. 10(5)
Openalex Percentile: Top 79%
Advanced X-ray and CT Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.