Journal Technologies of Living Systems №2 for 2021 г.
Article in number:
Possibilities of texture analysis of 3D tumor models in patients with localized neoplasms of the renal parenchyma (pilot study)
Type of article: scientific article
DOI: https://doi.org/10.18127/j20700997-202102-03
UDC: 004.93"1 004.932
Authors:

P.V. Bochkarev¹, I.A. Kuznetsov², E.S. Sirota³

1–3 Design Information Technologies Center Russian Academy of Sciences (DITC RAS) (Odintsovo, Moscow Region, Russia)    

3 I.M. Sechenov First Moscow State Medical University (Moscow, Russia)

Abstract:

A retrospective study examines the possibility of using radiomics in patients with localized neoplasms of the renal parenchyma, which makes it possible to extract, analyze and interpret the quantitative characteristics of 3D models of the pathological process. Visual analysis of DICOM data from multislice computed tomography with contrast (MSCT) does not allow to fully identify the morphological nature of the kidney tumor.

The article presents the quantitative characteristics of texture analysis in patients with benign and malignant neoplasms of the renal parenchyma.

Determination of the phenotype of the image of benign and malignant localized neoplasms of the renal parenchyma using texture analysis of 3D models of the pathological process.

Data describing patterns for 3 morphological forms of cancer (clear cell, papillary, chromophobic) and 2 benign tumors (angiomyolipoma, oncocytoma) of the renal parenchyma were obtained.

The use of the obtained phenotypes of images of renal parenchyma neoplasms for non-invasive diagnostics of morphology based on texture analysis of 3D models of the pathological process in patients with localized renal parenchymal neoplasms.

Pages: 23-30
For citation

Bochkarev P.V., Kuznetsov I.A., Sirota E.S. Possibilities of texture analysis of 3D tumor models in patients with localized neoplasms of the renal parenchyma (pilot study). Technologies of Living Systems. 2021. V. 18. № 2. DOI: https://doi.org/10.18127/j20700997-202102-03  (in Russian).

 

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Date of receipt: 04.12.2020
Approved after review: 29.12.2020
Accepted for publication: 04.02.2021