Literature DB >> 28869163

Biologically adapted radiation therapy.

Daniela Thorwarth1.   

Abstract

The aim of biologically adapted radiotherapy (RT) is to shape or paint the prescribed radiation dose according to biological properties of the tumor in order to increase local control rates in the future. Human tumors are known to present with an extremely heterogeneous tissue architecture leading to highly variable local cell densities and chaotic vascular structures leading to tumor hypoxia and regions of increased radiation resistance. The goal of biologically adapted RT or dose painting is to individually adapt the radiation dose to biological features of the tumor as non-invasively assessed with functional imaging in order to overcome increased radiation resistance. This article discusses the whole development chain of biologically adapted RT from radio-biologically relevant processes, functional imaging techniques to visualize tumor biology non-invasively and radiation prescription functions to the implementation of biologically adapted RT in clinical practice.
Copyright © 2018. Published by Elsevier GmbH.

Entities:  

Keywords:  Biologically adapted radiotherapy; Dose painting; Functional imaging; Hybrid imaging; MRI; PET

Mesh:

Year:  2017        PMID: 28869163     DOI: 10.1016/j.zemedi.2017.08.001

Source DB:  PubMed          Journal:  Z Med Phys        ISSN: 0939-3889            Impact factor:   4.820


  9 in total

1.  Manual and semi-automated delineation of locally advanced rectal cancer subvolumes with diffusion-weighted MRI.

Authors:  Nathan Hearn; William Bugg; Anthony Chan; Dinesh Vignarajah; Katelyn Cahill; Daisy Atwell; Jim Lagopoulos; Myo Min
Journal:  Br J Radiol       Date:  2020-09-02       Impact factor: 3.039

2.  Repeatability of radiotherapy dose-painting prescriptions derived from a multiparametric magnetic resonance imaging model of glioblastoma infiltration.

Authors:  Caterina Brighi; Niels Verburg; Eng-Siew Koh; Amy Walker; Cathy Chen; Sugendran Pillay; Philip C de Witt Hamer; Farhannah Aly; Lois C Holloway; Paul J Keall; David E J Waddington
Journal:  Phys Imaging Radiat Oncol       Date:  2022-06-11

3.  Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis.

Authors:  Lars Bielak; Nicole Wiedenmann; Arnie Berlin; Nils Henrik Nicolay; Deepa Darshini Gunashekar; Leonard Hägele; Thomas Lottner; Anca-Ligia Grosu; Michael Bock
Journal:  Radiat Oncol       Date:  2020-07-29       Impact factor: 3.481

4.  Effect of radiochemotherapy on T2* MRI in HNSCC and its relation to FMISO PET derived hypoxia and FDG PET.

Authors:  Nicole Wiedenmann; Hatice Bunea; Hans C Rischke; Andrei Bunea; Liette Majerus; Lars Bielak; Alexey Protopopov; Ute Ludwig; Martin Büchert; Christian Stoykow; Nils H Nicolay; Wolfgang A Weber; Michael Mix; Philipp T Meyer; Jürgen Hennig; Michael Bock; Anca L Grosu
Journal:  Radiat Oncol       Date:  2018-08-29       Impact factor: 3.481

5.  Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction.

Authors:  Lars Bielak; Nicole Wiedenmann; Nils Henrik Nicolay; Thomas Lottner; Johannes Fischer; Hatice Bunea; Anca-Ligia Grosu; Michael Bock
Journal:  Tomography       Date:  2019-09

6.  Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool.

Authors:  Oscar Casares-Magaz; Renata G Raidou; Jarle Rørvik; Anna Vilanova; Ludvig P Muren
Journal:  Phys Imaging Radiat Oncol       Date:  2018-01-12

7.  Imaging science and development in modern high-precision radiotherapy.

Authors:  Daniela Thorwarth; Ludvig Muren
Journal:  Phys Imaging Radiat Oncol       Date:  2019-12-09

8.  Holistic View on Cell Survival and DNA Damage: How Model-Based Data Analysis Supports Exploration of Dynamics in Biological Systems.

Authors:  Mathias S Weyland; Pauline Thumser-Henner; Katarzyna J Nytko; Carla Rohrer Bley; Simone Ulzega; Alke Petri-Fink; Marco Lattuada; Rudolf M Füchslin; Stephan Scheidegger
Journal:  Comput Math Methods Med       Date:  2020-07-06       Impact factor: 2.238

Review 9.  Medical Imaging Biomarker Discovery and Integration Towards AI-Based Personalized Radiotherapy.

Authors:  Yaru Pang; Hui Wang; He Li
Journal:  Front Oncol       Date:  2022-01-17       Impact factor: 6.244

  9 in total

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