Prediction of liver cancer using statistical analysis

Authors

  • Nut Tounkhuntod Department of Radiological Technology, Faculty of Allied Health Sciences, Naresuan University
  • Rungthiwa Hardsai Department of Radiological Technology, Faculty of Allied Health Sciences, Naresuan University
  • Sintanakorn Pluemjai Department of Radiological Technology, Faculty of Allied Health Sciences, Naresuan University
  • Titipong Kaewlek Department of Radiological Technology, Faculty of Allied Health Sciences, Naresuan University

Keywords:

Statistical data, Liver, Prediction, Hepatocellular carcinoma, Computed Tomography

Abstract

Nowadays, liver cancer is a common disease. The screening tumor test can evaluate by ultrasound and blood test for evaluating Alpha-fetoprotein. Computed Tomography (CT) with contrast media can see more detail of liver cancer, as well. Liver cancer needs to biopsy for confirmation diagnostic. The purpose of this study is to separate image data between normal tissue and hepatocellular carcinoma (HCC) liver cancer in CT images. The 120 images were collected from the online database. The statistical data (skewness, kurtosis, standard deviation, mean, median, mode) were measured. The difference of statistic data and the lesions prediction between the HCC liver cancer image and normal liver image were examined. This study found that the mean, median, and mode could separate the HCC liver images from the normal liver images. The median has the highest sensitivity (100%). The specificity of 83.33% was found using mean, median, and mean with median. The accuracy of the median was 91.67%. The difference of the statistical image data could help to predict the HCC liver images.

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References

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Published

2021-02-01

How to Cite

1.
Tounkhuntod ณ, Hardsai ร, Pluemjai ส, Kaewlek ฐ. Prediction of liver cancer using statistical analysis. Thai J Rad Tech [Internet]. 2021 Feb. 1 [cited 2022 May 23];45(1):22-7. Available from: https://he02.tci-thaijo.org/index.php/tjrt/article/view/248153

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