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Sminia P, Guipaud O, Viktorsson K, Ahire V, Baatout S, Boterberg T, Cizkova J, Dostál M, Fernandez-Palomo C, Filipova A, François A, Geiger M, Hunter A, Jassim H, Edin NFJ, Jordan K, Koniarová I, Selvaraj VK, Meade AD, Milliat F, Montoro A, Politis C, Savu D, Sémont A, Tichy A, Válek V, Vogin G. Clinical Radiobiology for Radiation Oncology. RADIOBIOLOGY TEXTBOOK 2023:237-309. [DOI: 10.1007/978-3-031-18810-7_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/30/2023]
Abstract
AbstractThis chapter is focused on radiobiological aspects at the molecular, cellular, and tissue level which are relevant for the clinical use of ionizing radiation (IR) in cancer therapy. For radiation oncology, it is critical to find a balance, i.e., the therapeutic window, between the probability of tumor control and the probability of side effects caused by radiation injury to the healthy tissues and organs. An overview is given about modern precision radiotherapy (RT) techniques, which allow optimal sparing of healthy tissues. Biological factors determining the width of the therapeutic window are explained. The role of the six typical radiobiological phenomena determining the response of both malignant and normal tissues in the clinic, the 6R’s, which are Reoxygenation, Redistribution, Repopulation, Repair, Radiosensitivity, and Reactivation of the immune system, is discussed. Information is provided on tumor characteristics, for example, tumor type, growth kinetics, hypoxia, aberrant molecular signaling pathways, cancer stem cells and their impact on the response to RT. The role of the tumor microenvironment and microbiota is described and the effects of radiation on the immune system including the abscopal effect phenomenon are outlined. A summary is given on tumor diagnosis, response prediction via biomarkers, genetics, and radiomics, and ways to selectively enhance the RT response in tumors. Furthermore, we describe acute and late normal tissue reactions following exposure to radiation: cellular aspects, tissue kinetics, latency periods, permanent or transient injury, and histopathology. Details are also given on the differential effect on tumor and late responding healthy tissues following fractionated and low dose rate irradiation as well as the effect of whole-body exposure.
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Kocsis ZS, Major T, Pesznyák C, Mihály D, Stelczer G, Kun-Gazda M, Farkas G, Székely G, Ágoston P, Jorgo K, Gesztesi L, Polgár C, Jurányi Z. Relationship between biodosimetric parameters and treatment volumes in three types of prostate radiotherapy. Sci Rep 2021; 11:24406. [PMID: 34949762 PMCID: PMC8702546 DOI: 10.1038/s41598-021-03417-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 10/26/2021] [Indexed: 11/09/2022] Open
Abstract
Brachytherapy (BT) and external beam radiotherapy (EBRT) apply different dose rates, overall treatment times, energies and fractionation. However, the overall impact of these variables on the biological dose of blood is neglected. As the size of the irradiated volume influences the biological effect as well, we studied chromosome aberrations (CAs) as biodosimetric parameters, and explored the relationship of isodose surface volumes (ISVs: V1%, V1Gy, V10%, V10Gy, V100%, V150%) and CAs of both irradiation modalities. We performed extended dicentrics assay of lymphocytes from 102 prostate radiotherapy patients three-monthly for a year. Aberration frequency was the highest after EBRT treatment. It increased after the therapy and did not decrease significantly during the first follow-up year. We showed that various types of CAs 9 months after LDR BT, 3 months after HDR BT and in a long time-range (even up to 1 year) after EBRT positively correlated with ISVs. Regression analysis confirmed these relationships in the case of HDR BT and EBRT. The observed differences in the time points and aberration types are discussed. The ISVs irradiated by EBRT showed stronger correlation and regression relationships with CAs than the ISVs of brachytherapy.
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Affiliation(s)
- Zsuzsa S Kocsis
- Department of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
| | - Tibor Major
- Department of Oncology, Semmelweis University, Budapest, Hungary. .,Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary.
| | - Csilla Pesznyák
- Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
| | - Dalma Mihály
- Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
| | - Gábor Stelczer
- Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
| | - Márta Kun-Gazda
- Department of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
| | - Gyöngyi Farkas
- Department of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
| | - Gábor Székely
- Department of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
| | - Péter Ágoston
- Department of Oncology, Semmelweis University, Budapest, Hungary.,Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
| | - Kliton Jorgo
- Department of Oncology, Semmelweis University, Budapest, Hungary.,Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
| | - László Gesztesi
- Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
| | - Csaba Polgár
- Department of Oncology, Semmelweis University, Budapest, Hungary.,Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
| | - Zsolt Jurányi
- Department of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
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Bennan ABA, Unkelbach J, Wahl N, Salome P, Bangert M. Joint Optimization of Photon-Carbon Ion Treatments for Glioblastoma. Int J Radiat Oncol Biol Phys 2021; 111:559-572. [PMID: 34058258 DOI: 10.1016/j.ijrobp.2021.05.126] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 04/09/2021] [Accepted: 05/21/2021] [Indexed: 12/14/2022]
Abstract
PURPOSE Carbon ions are radiobiologically more effective than photons and are beneficial for treating radioresistant gross tumor volumes (GTV). However, owing to a reduced fractionation effect, they may be disadvantageous for treating infiltrative tumors, in which healthy tissue inside the clinical target volume (CTV) must be protected through fractionation. This work addresses the question: What is the ideal combined photon-carbon ion fluence distribution for treating infiltrative tumors given a specific fraction allocation between photons and carbon ions? METHODS AND MATERIALS We present a method to simultaneously optimize sequentially delivered intensity modulated photon (IMRT) and carbon ion (CIRT) treatments based on cumulative biological effect, incorporating both the variable relative biological effect of carbon ions and the fractionation effect within the linear quadratic model. The method is demonstrated for 6 glioblastoma patients in comparison with the current clinical standard of independently optimized CIRT-IMRT plans. RESULTS Compared with the reference plan, joint optimization strategies yield inhomogeneous photon and carbon ion dose distributions that cumulatively deliver a homogeneous biological effect distribution. In the optimal distributions, the dose to CTV is mostly delivered by photons and carbon ions are restricted to the GTV with variations depending on tumor size and location. Improvements in conformity of high-dose regions are reflected by a mean EQD2 reduction of 3.29 ± 1.22 Gy in a dose fall-off margin around the CTV. Carbon ions may deliver higher doses to the center of the GTV, and photon contributions are increased at interfaces with CTV and critical structures. This results in a mean EQD2 reduction of 8.3 ± 2.28 Gy, in which the brain stem abuts the target volumes. CONCLUSIONS We have developed a biophysical model to optimize combined photon-carbon ion treatments. For 6 glioblastoma patient cases, we show that our approach results in a more targeted application of carbon ions that (1) reduces dose in normal tissues within the target volume, which can only be protected through fractionation; and (2) boosts central target volume regions to reduce integral dose. Joint optimization of IMRT-CIRT treatments enable the exploration of a new spectrum of plans that can better address physical and radiobiological treatment planning challenges.
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Affiliation(s)
- Amit Ben Antony Bennan
- Department of Medical Physics in Radiation Oncology, German Cancer Research Center, Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany; Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg, Germany.
| | - Jan Unkelbach
- Department of Radiation Oncology, University Hospital Zurich, Switzerland
| | - Niklas Wahl
- Department of Medical Physics in Radiation Oncology, German Cancer Research Center, Heidelberg, Germany; Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg, Germany
| | - Patrick Salome
- Medical Faculty, Heidelberg University, Heidelberg, Germany; Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ)
| | - Mark Bangert
- Department of Medical Physics in Radiation Oncology, German Cancer Research Center, Heidelberg, Germany
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