Vol. 88, December 2020

Analysis of Imaging Modalities for Detecting Liver Lesions: (Review Artical)

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Analysis of Imaging Modalities for Detecting Liver Lesions: (Review Artical)

 

Abstract
Background: Liver metastases are a common occurrence in metastatic illness and play a crucial role in determining treatment and  prognosis. Various imaging methods, including ultrasonography, computed tomography (CT), magnetic reso-nance imaging (MRI), positron emission tomography (PET)/CT, and PET/MRI, can be used for non-invasive evaluation of liver metastases.Aim of Study: This study aims to provide a comprehen-sive analysis of imaging results of liver metastases, focusing on the unique benefits and possible drawbacks of each imaging method. The significance of different imaging techniques for treatment, monitoring, and evaluation of liver metastases is also evaluated. Methods: The study involves a review and analysis of existing literature on imaging techniques for liver metastases. Imaging methods such as ultrasonography, CT, MRI, PET/CT, and PET/MRI are examined, and their strengths and limitations are discussed. Results: Both CT and MRI are considered suitable im-aging techniques for detecting early liver lesions, monitoring progression, and assessing treatment effectiveness. Multipara-metric MRI, in particular, has shown significant advancements in recent years, offering improved hardware, software, and spe-cialized contrast agents. MRI has demonstrated superior perfor-mance in detecting small-sized metastases and cases of hepatic steatosis. However, despite the higher sensitivity of MRI, CT remains the preferred approach for imaging liver metastases. Conclusion: CT and MRI are the primary imaging methods for liver metastases, with each having its advantages and limi-tations. While MRI has shown promising results, CT continues to be the preferred choice due to factors such as cost-effective-ness. Further research and discussions are necessary to address the economic implications of using CT instead of MRI for liver metastasis imaging.

 

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