Персона: Лебеденко, Ирина Матвеевна
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Инженерно-физический институт биомедицины
Цель ИФИБ и стратегия развития – это подготовка высококвалифицированных кадров на базе передовых исследований и разработок новых перспективных методов и материалов в области инженерно-физической биомедицины. Занятие лидерских позиций в биомедицинских технологиях XXI века и внедрение их в образовательный процесс, что отвечает решению практикоориентированной задачи мирового уровня – диагностике и терапии на клеточном уровне социально-значимых заболеваний человека.
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Ирина Матвеевна
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- ПубликацияТолько метаданныеCalculation of the Radiation Dose Absorbed by Human Biological Tissue When Using Imaging Equipment in Radiotherapy(2021) Khromov, S. S.; Bondarenko, T. V.; Chertenkov, E. M.; Lebedenko, I. M.; Лебеденко, Ирина Матвеевна© 2021, Springer Science+Business Media, LLC, part of Springer Nature.The issues of x-ray dose control during diagnostic and therapeutic procedures using imaging tools are considered. The dose of x-ray radiation absorbed by the biological tissue of a person from the visualization devices of the imaging procedure was determined while monitoring the position of the patient on the therapeutic table of the electron accelerator before the radiation therapy session. The processes of transmission of photons and electrons through the medium were simulated, and the x-ray spectra were measured. The emission spectrum of a Varian G-242 Rotating Anode X-Ray Tube was obtained using an XR-100-CdTe spectrometer. The absorbed dose was calculated by the Monte Carlo method. The dose absorbed in a water phantom at tube voltage up to 80 kV was 0.9–1.5 mGy.
- ПубликацияТолько метаданныеSoftware Method of Determining Tumor Parameters from CT Images(2020) Gavrikov, B. M.; Lebedenko, I. M.; Лебеденко, Ирина Матвеевна© 2020, Springer Science+Business Media, LLC, part of Springer Nature.A clinically available software method has been developed and tested for evaluating tumor dynamics according to size and physical density in adaptive radiation treatment of cancer patients for any cases of imaging of tumor borders, including fuzzy imaging of the tumor borders. The quantitative informativeness of the method is shown.
- ПубликацияТолько метаданныеMethod of quatitative evaluation of the size and density of the tumor during adaptive radiotherapy using CT images МеТод коЛИчесТВеННои оцеНкИ разМера И пЛоТНосТИ опухоЛИ прИ адапТИВНои ЛучеВои ТерапИИ по кТ-ИзоБражеНИяМ(2019) Gavrikov, B. M.; Borisova, T. N.; Lebedenko, I. M.; Лебеденко, Ирина Матвеевна© 2019 State Research Center, Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency. All rights reserved.Purpose: Clinically available quantitative method for assessing the dynamics of the size and physical density (in g/cm3) of the tumor in adaptive radiotherapy for cancer patients and any cases of visualization of tumor boundaries including the cases when the border of a tumor is not clearly visualized. Material and methods: A preliminary analysis of the images transmitted over the CT network was carried out in the Eclipse planning system (PS). The radiotherapy treatment planning using electron accelerators with a multi‑leaf collimator(Varian (USA)) was carried out at the Eclipse PS. The image quality control of Light Speed RT 16 (manufactured by GE) X‑ray computed tomography scanner was performed using the multi‑modular phantom Catphan® 504. The assessment of the densitometric characteristics CT imaging made using eight tissue‑equivalent a test object with mass densities from 0.03 to 1.37 g/cm3 which corresponding to the density of biological tissues of the human body. To quantify the size and density of the tumor in a dynamic mode, we have written and used our own Matlab program installed on a separate computer. For lossless compression of graphic information, the PNG‑image scale (raster graphic information storage format) is used, which is equivalent to the scale of the original DICOM file at the Eclipse PS. A program consists of subroutines that include calibration, contour integration, and integration along a horizontal line. Results: The quantitative information content of the method is shown. The method is used in clinical practice. Conclusions: A clinically available quantitative method for assessing dynamics of the size and physical density of the tumor has been developed and proposed for use in adaptive radiatiotherapy for cancer patients for any cases of visualization of tumor boundaries. When a positive dynamics in the tumor, the integral index is greater than 1 (M > 1), when a negative dynamics (in the absence of response to treatment) M ≤ 1. Quantitative characteristics are objective, do not depend on the subjective assessments of personnel and can serve as a basis for rescheduling exposure plans.
- ПубликацияТолько метаданныеQuantitative Assessment of the Quality of Remote Irradiation Planning for Cancer Patients(2022) Lebedenko, I. M.; Kudashkina, Y. A.; Gromushkina, E. V.; Zakharkiv, A. Y.; Лебеденко, Ирина Матвеевна; Громушкина, Елена Вячеславовна; Захаркив, Анастасия ЮрьевнаRelationships between the index HI of dose homogeneity within the target and irradiation technique were obtained for patients with four types of cancer: cervical cancer, lung cancer, prostate cancer, and breast cancer. Homogeneity indexes HI were evaluated. The optimum irradiation techniques were selected for patients with each type of cancer taking account of the prognostic capabilities of the index HI for recurrence-free survival. These studies showed in particular that 3D-conformal radiotherapy (3DCRT) and intensity-modulated radiotherapy (IMRT) were suitable for treatment of cervical cancer. Intensity-modulated radiotherapy in the rotary mode (RapidArc) had advantages in lung cancer. The RapidArc technique was best in prostate cancer. The 3DCRT technique run on conventional accelerators was preferred in breast cancer. © 2022, Springer Science+Business Media, LLC, part of Springer Nature.
- ПубликацияТолько метаданныеNonivasive methods for monitoring the characteristics of bone cement during radiotherapy in tumor patients(2024) Lebedenko, I. M.; Gavrikov, B. M.; Лебеденко, Ирина Матвеевна