Evaluation of focal liver lesions using triple phase contrast computed tomography among Indian patients

Detecting and characterizing focal liver lesions remains a significant challenge in clinical practice. Therefore, it is of interest to evaluate the patients with focal liver lesions using Triphasic computed tomography. Hence, 80 patients spanned for around 18 months to correlate between computed tomography scan findings and final diagnosis. We found male dominancy with high sensitivity for diagnosing hepatocellular carcinoma (HCC) at 73.7%, hemangioma's at 94.1%, and metastases at 98.4%. Thus, we show that, tri-phasic computed tomography can be widely accepted computed tomography protocol used for assessing liver lesions, allowing for the detection and characterization of most focal liver abnormalities across various pathological scenarios.

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Journal
Bioinformation
Published
2024-10-31
DOI
https://doi.org/10.6026/9732063002001429
Citations
1
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.39
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Evaluation of focal liver lesions using triple phase contrast computed tomography among Indian patients

Ravindra Kumbhar, Anushka Mittal
1 citations
Bioinformation
Liver Disease Diagnosis and Treatment
0.39
article

Evaluation of focal liver lesions using triple phase contrast computed tomography among Indian patients

Ravindra Kumbhar, Anushka Mittal
article en
1 citations

Abstract

Detecting and characterizing focal liver lesions remains a significant challenge in clinical practice. Therefore, it is of interest to evaluate the patients with focal liver lesions using Triphasic computed tomography. Hence, 80 patients spanned for around 18 months to correlate between computed tomography scan findings and final diagnosis. We found male dominancy with high sensitivity for diagnosing hepatocellular carcinoma (HCC) at 73.7%, hemangioma's at 94.1%, and metastases at 98.4%. Thus, we show that, tri-phasic computed tomography can be widely accepted computed tomography protocol used for assessing liver lesions, allowing for the detection and characterization of most focal liver abnormalities across various pathological scenarios.

BioinformationVol. 20(10)
Krishna Institute of Medical Sciences (IN)
Good health and well-being
Openalex Percentile: Top 30%
Liver Disease Diagnosis and Treatment
0.39
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