The Effect of Histogram Analysis of DCE-MRI Parameters on Differentiating Renal Tumors
Kurtosis
Quartile
DOI:
10.7754/clin.lab.2023.221126
Publication Date:
2023-11-10T18:51:20Z
AUTHORS (6)
ABSTRACT
We aimed to assess the role of histogram analysis DCE-MRI parameters for accurately distinguishing renal clear cell carcinoma from hamartoma with minimal fat.Patients tumors were enrolled January 2013 December 2015, including (n = 39) and 10). Preoperative DCE-MR Imaging was performed, whole-tumor regions interest drawn obtain corresponding parameters, skewness, kurtosis, frequency size, energy, quartile, etc. Histogram differences between car-cinoma fat compared. The diagnostic value each significant parameter in predicting malignant determined.Histogram DCE map contributed differentiating benign tumor groups. maps could effectively present heterogeneity aid tumors. ROC results indicated that when size 1,732 set as threshold value, favorable performance achieved (AUC - 0.964; sensitivity 84.6%; specificity 100%), followed by Energy, Entropy, Uniformity, quartile 5, 50, kurtosis.Histogram shows promise Frequency most carcinoma.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (0)
CITATIONS (3)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....