Medical Radiology and Radiation Safety. 2023. Vol. 68. № 3
DOI: 10.33266/1024-6177-2023-68-3-52-56
A.Sh. Pattokhov1, Yu.M. Khodjibekova1, M.Kh. Khodjibekov2
Choise of Statistical Processing Methods for the Results
of Radcomic Analysis of CT Images of Head and Neck Tumors
1 Tashkent state dental institute, This email address is being protected from spambots. You need JavaScript enabled to view it. , Tashkent, Uzbekistan
2 Tashkent medical academy, This email address is being protected from spambots. You need JavaScript enabled to view it. , Tashkent, Uzbekistan
Contact person: Marat Khudaykulovich Khodjibekov, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
ABSTRACT
Purpose: Selection of the optimal method for statistical processing of the results of texture analysis of conventional CT images in patients with head and neck tumors.
Material and methods: A total of 118 patients aged from 4 to 80 years with a verified diagnosis of 37 benign and 81 malignant head and neck tumors were studied. Texture analysis was performed using LIFEx program, version 7.10, with statistical processing using SPSS, MedCalc, XLSTAT, R.
Results: The 39 texture indicators extracted from CT images were subjected to statistical processing by different methods, including Mann-Whitney U test, correlation matrix, factor analysis, LASSO-regression, ending with the development of a logistic classification model. Of the multiple processing methods, LASSO-regression followed by logistic model was optimal; according to its results, the percentage of correct classification of benign and malignant patient groups was – 81.3 %, area under the ROC curve was 0.902±0.029 (p<0.0001), sensitivity – 82.7 %, specificity – 87.5 %.
Conclusion: Texture analysis of medical images allows non-invasive prediction of benign or malignant nature of the imaged head and neck mass. The choice of the correct method for statistical processing of texture analysis results is critical to assess and classify patients according to the nature of the tumor.
Keywords: CT images, head and neck tumors, radiomics, texture analysis, statistical processing
For citation: Pattokhov ASh, Khodjibekova YuM, Khodjibekov MKh. Choise of Statistical Processing Methods for the Results of Radcomic Analysis of CT Images of Head and Neck Tumors. Medical Radiology and Radiation Safety. 2023;68(3):52–56. (In Russian). DOI: 10.33266/1024-6177-2023-68-3-52-56
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PDF (RUS) Full-text article (in Russian)
Conflict of interest. The authors declare no conflict of interest.
Financing. The study had no sponsorship.
Contribution. Article was prepared with equal participation of the authors.
Article received: 20.01.2022. Accepted for publication: 25.02.2023.