Head and Neck Imaging
The Application Value of Support Vector Machine in CT Differential Diagnosis of Renal Epithelioid Angiomyolipoma and Clear Cell Renal Cell Carcinoma
Author：LI Xiao-qiang, CHANG Tai
affiliation：Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
PDFAbstract
Objective To evaluate the application value of support vector machines in the differential diagnosis of renal epithelioid angiomyolipoma (EAML) and clear cell renal cell carcinoma (ccRCC). Methods In this study, 70 cases of renal tumors confirmed by pathology (35 cases of EAML and ccRCC) were collected, and the characteristics of CT features were analyzed by support vector machine method. Results The diagnostic accuracy of support vector machine (SVM) for EAML lesions was 100%.The diagnostic accuracy of ccRCC lesions was 94.59%. The overall average judgment accuracy was 97.14%. The diagnostic accuracy of the training set was 97.30%. The diagnostic accuracy of the test set was 96.97%. The coincidence rate is similar to bagging and adaboost classification algorithm. Conclusion Support vector machine method is helpful for CT differential diagnosis of EAML and ccRCC, which can be used to assist in daily work, especially for young doctors or primary hospital physicians.
【Keyword】Epithelioid Angiomyolipoma; Clear Cell Renal Cell Carcinoma; CT; SVML; Differential Diagnosis
【Chart number】R445.3；R737.11
【Document Identification Number】A
【DOI】 10.3969/j.issn.1672- 5131.2017.10.029
Chinese journal of CT and MRI
th15Volume， th 10 Issue
2017Year10Month
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