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This publication is protected and can be accessed only from certain IPs.

Title: Application of cytogenetic methods and dose calculation algorithms in predicting radiotherapy effectiveness

Author:

Rawojć, Kamila

Date:

2019

Type:

Praca doktorska

Abstract:

Radiotherapy is one of the leading and dynamically developing cancer treatment modalities. Its main aim is to kill cancer cells while sparing normal tissue. The goal of the study was to assess the usefulness of cytogenetics and dose calculation algorithms in predicting radiotherapy effectiveness. Human peripheral blood lymphocytes were irradiated ex vivo in the dose range of 0.3-20.0 Gy. The analysis of cell radiosensitivity was performed using 2 cytogenetic tests: micronucleus (CBMN) and premature chromosome condensation (PCC). Also, the compliance of the results obtained by dose calculation algorithms with those actually measured or given by the Monte Carlo simulation was evaluated.Scoring of 500 binucleated cells instead of 1000 for the CBMN test and 150 instead of 75 for the PCC test showed statistical compatibility, which shortens analysis time. Comparing the 2 dose calculation algorithms: PBC and AAA with the values measured in structures of high electron density gradient, shown that the use of the AAA algorithm gives convergent results with the values measured and obtained from the Monte Carlo simulation.The use of cytogenetics and appropriate dose calculation algorithms will help optimize and predict the effectiveness of radiotherapy.

Place of publishing:

Kraków

Level of degree:

2 - studia doktoranckie

Degree discipline:

radiologia ; onkologia

Degree grantor:

Wydział Lekarski

Promoter:

Sowa-Staszczak, Anna ; Miszczyk, Justyna

Date issued:

2019

Identifier:

oai:dl.cm-uj.krakow.pl:4394

Call number:

ZB-132175

Language:

pol; eng

Access rights:

tylko w bibliotece

Subject and keywords:

radiotherapy effectiveness cytogenetics dose calculation algorithms

Object collections:

Last modified:

Mar 13, 2023

In our library since:

Feb 5, 2021

Number of object content hits:

3

Number of object content views in PDF format

0

All available object's versions:

http://dl.cm-uj.krakow.pl:8080/publication/4395

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ZB-132175 Mar 13, 2023

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