employee
National Research Tomsk Polytechnic University, Tomsk, Russia
Russian Federation
employee
Russian Federation
National Research Tomsk Polytechnic University, Tomsk, Russia
employee
Russian Federation
employee
Russian Federation
Multidisciplinary Clinical Medical Ccenter “Medical city”, Tyumen, Russia
GRNTI 76.33 Гигиена и эпидемиология
GRNTI 76.03 Медико-биологические дисциплины
OKSO 31.06.2001 Клиническая медицина
OKSO 31.08.08 Радиология
OKSO 32.08.12 Эпидемиология
OKSO 14.04.02 Ядерные физика и технологии
BBK 534 Общая диагностика
BBK 51 Социальная гигиена и организация здравоохранения. Гигиена. Эпидемиология
TBK 5712 Медицинская биология. Гистология
TBK 5734 Медицинская радиология и рентгенология
TBK 6212 Радиоактивные элементы и изотопы. Радиохимия
TBK 5708 Гигиена и санитария. Эпидемиология. Медицинская экология
Purpose: Evaluation of the expected effectiveness of radiation therapy based on models of the local tumor control probability (Tumor Control Probability – TCP) for the head-neck cancer. Material and methods: The study used data from 11 patients with locally advanced head-neck cancer (larynx, oropharynx, and oral cavity). For each patient two dosimetric treatment plans have been prepared: SIB-VMAT (70 Gy per tumor, 50 Gy per lymph nodes, 25 fractions) and SEQ-VMAT (70 Gy per tumor, 50 Gy per lymph nodes, 35 fractions). The developed plans were analyzed using A. Niemierko's TCP model with parameters obtained by B. Maciejewski (TCD50 = 70.26 Gy with a 49-day total treatment time), taking into account the dose–volume histograms and the total treatment time. Results: The developed plans ensured a high level of coverage (98–98 %) of the Clinical treatment volume (CTV) in all but one patient. The average TCP SIB-VMAT is 99.9 % due to the very short total treatment time. The average TCP for SEQ-VMAT is 61.0%. For one patient, both SIB-VMAT and SEQ-VMAT showed zero expected efficacy due to 95–95 % CTV coverage. Conclusion: The use of TCP model allows analyzing personalized treatment plans for patients and developing adaptive treatment regimens with an increase in the total dose, dose per fraction, and a decrease in the total treatment time.
locally advanced cancer head and neck, volumetric modulated arc therapy, simultaneous integrated dose escalation, tumor control probability, TCP model
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