METHOD OF QUATITATIVE EVALUATION OF THE SIZE AND DENSITY OF THE TUMOR DURING ADAPTIVE RADIOTHERAPY USING CT IMAGES
Rubrics: RADIATION THERAPY
Authors:
1.
N.N. Blokhin National Medical Research Center of Oncology
( Senior Researcher)
employee
National Research Nuclear University MEPhI ( Professor)
employee
employee
National Research Nuclear University MEPhI ( Professor)
employee
2.
Moscow Municipal Oncology Hospital No. 62
( Medical Physicist)
employee
employee
3.
N.N. Blokhin National Medical Research Center of Oncology
( Leading Researcher)
employee
employee
Type:
Article
Pages:
from 64
to 69
Status:
Published
Received:
27.11.2019
Accepted:
14.12.2019
Published:
14.12.2019
Subject area:
UDK 61 Медицина. Охрана здоровья
GRNTI 76.03 Медико-биологические дисциплины
GRNTI 76.33 Гигиена и эпидемиология
OKSO 14.04.02 Ядерные физика и технологии
OKSO 31.06.2001 Клиническая медицина
OKSO 31.08.08 Радиология
OKSO 32.08.12 Эпидемиология
BBK 51 Социальная гигиена и организация здравоохранения. Гигиена. Эпидемиология
BBK 534 Общая диагностика
TBK 5708 Гигиена и санитария. Эпидемиология. Медицинская экология
TBK 5712 Медицинская биология. Гистология
TBK 5734 Медицинская радиология и рентгенология
TBK 6212 Радиоактивные элементы и изотопы. Радиохимия
GRNTI 76.03 Медико-биологические дисциплины
GRNTI 76.33 Гигиена и эпидемиология
OKSO 14.04.02 Ядерные физика и технологии
OKSO 31.06.2001 Клиническая медицина
OKSO 31.08.08 Радиология
OKSO 32.08.12 Эпидемиология
BBK 51 Социальная гигиена и организация здравоохранения. Гигиена. Эпидемиология
BBK 534 Общая диагностика
TBK 5708 Гигиена и санитария. Эпидемиология. Медицинская экология
TBK 5712 Медицинская биология. Гистология
TBK 5734 Медицинская радиология и рентгенология
TBK 6212 Радиоактивные элементы и изотопы. Радиохимия
Language:
Russian
Keywords:
adaptive radiotherapy, CT images, assessing the tumor size and density, programmatic method
Abstract (English):
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.
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.
Keywords:
adaptive radiotherapy, CT images, assessing the tumor size and density, programmatic method
adaptive radiotherapy, CT images, assessing the tumor size and density, programmatic method
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