Literature DB >> 24824451

Imaging and target volume delineation in glioma.

G A Whitfield1, S R Kennedy2, I K Djoukhadar3, A Jackson3.   

Abstract

Here we review current practices in target volume delineation for radical radiotherapy planning for gliomas. Current radiotherapy planning margins for glioma are informed by historic data of recurrence patterns using radiological imaging or post-mortem studies. Radiotherapy planning for World Health Organization grade II-IV gliomas currently relies predominantly on T1-weighted contrast-enhanced magnetic resonance imaging (MRI) and T2/fluid-attenuated inversion recovery sequences to identify the gross tumour volume (GTV). Isotropic margins are added empirically for each tumour type, usually without any patient-specific individualisation. We discuss novel imaging techniques that have the potential to influence radiotherapy planning, by improving definition of the tumour extent and its routes of invasion, thus modifying the GTV and allowing anisotropic expansion to a clinical target volume better reflecting areas at risk of recurrence. Identifying the relationships of tumour boundaries to important white matter pathways and eloquent areas of cerebral cortex could lead to reduced normal tissue complications. Novel magnetic resonance approaches to identify tumour extent and invasion include: (i) diffusion-weighted magnetic resonance metrics; (ii) diffusion tensor imaging; and (iii) positron emission tomography, using radiolabelled amino acids methyl-11C-L-methionine and 18F-fluoroethyltyrosine. Novel imaging techniques may also have a role together with clinical characteristics and molecular genetic markers in predicting response to therapy. Most significant among these techniques is dynamic contrast-enhanced MRI, which uses dynamic acquisition of images after injection of intravenous contrast. A number of studies have identified changes in diffusion and microvascular characteristics occurring during the early stages of radiotherapy as powerful predictive biomarkers of outcome.
Copyright © 2014 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Amino acid PET; glioma; imaging biomarkers; molecular resonance imaging; radiotherapy planning; target volume delineation

Mesh:

Year:  2014        PMID: 24824451     DOI: 10.1016/j.clon.2014.04.026

Source DB:  PubMed          Journal:  Clin Oncol (R Coll Radiol)        ISSN: 0936-6555            Impact factor:   4.126


  20 in total

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Authors:  Yo-Liang Lai; Chun-Yi Wu; K S Clifford Chao
Journal:  Int J Clin Oncol       Date:  2016-07-06       Impact factor: 3.402

2.  Whole-tumor histogram analysis of the cerebral blood volume map: tumor volume defined by 11C-methionine positron emission tomography image improves the diagnostic accuracy of cerebral glioma grading.

Authors:  Rongli Wu; Yoshiyuki Watanabe; Atsuko Arisawa; Hiroto Takahashi; Hisashi Tanaka; Yasunori Fujimoto; Tadashi Watabe; Kayako Isohashi; Jun Hatazawa; Noriyuki Tomiyama
Journal:  Jpn J Radiol       Date:  2017-09-06       Impact factor: 2.374

3.  Volumetric relationship between 2-hydroxyglutarate and FLAIR hyperintensity has potential implications for radiotherapy planning of mutant IDH glioma patients.

Authors:  Kourosh Jafari-Khouzani; Franziska Loebel; Wolfgang Bogner; Otto Rapalino; Gilberto R Gonzalez; Elizabeth Gerstner; Andrew S Chi; Tracy T Batchelor; Bruce R Rosen; Jan Unkelbach; Helen A Shih; Daniel P Cahill; Ovidiu C Andronesi
Journal:  Neuro Oncol       Date:  2016-07-05       Impact factor: 12.300

4.  Generating synthetic CTs from magnetic resonance images using generative adversarial networks.

Authors:  Hajar Emami; Ming Dong; Siamak P Nejad-Davarani; Carri K Glide-Hurst
Journal:  Med Phys       Date:  2018-06-14       Impact factor: 4.071

5.  Identifying radiotherapy target volumes in brain cancer by image analysis.

Authors:  Kun Cheng; Dean Montgomery; Yang Feng; Robin Steel; Hanqing Liao; Duncan B McLaren; Sara C Erridge; Stephen McLaughlin; William H Nailon
Journal:  Healthc Technol Lett       Date:  2015-10-02

6.  Using synthetic CT for partial brain radiation therapy: Impact on image guidance.

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Journal:  Pract Radiat Oncol       Date:  2018-04-06

Review 7.  [Target volume concepts in radiotherapy and their implications for imaging].

Authors:  N G Burnet; D J Noble; A Paul; G A Whitfield; S Delorme
Journal:  Radiologe       Date:  2018-08       Impact factor: 0.635

8.  Evaluation of interim MRI changes during limited-field radiation therapy for glioblastoma and implications for treatment planning.

Authors:  Comron Hassanzadeh; Soumon Rudra; Sirui Ma; Randall Brenneman; Yi Huang; Lauren Henke; Christopher Abraham; Jian Campian; Christina Tsien; Jiayi Huang
Journal:  Radiother Oncol       Date:  2021-02-13       Impact factor: 6.280

9.  Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance.

Authors:  Carri K Glide-Hurst; Eric S Paulson; Kiaran McGee; Neelam Tyagi; Yanle Hu; James Balter; John Bayouth
Journal:  Med Phys       Date:  2021-07       Impact factor: 4.071

10.  Determining optimal clinical target volume margins in high-grade glioma based on microscopic tumor extension and magnetic resonance imaging.

Authors:  Shulun Nie; Yufang Zhu; Jia Yang; Tao Xin; Song Xue; Xianbin Zhang; Jujie Sun; Dianbin Mu; Yongsheng Gao; Zhaoqiu Chen; Xingchen Ding; Jinming Yu; Man Hu
Journal:  Radiat Oncol       Date:  2021-06-07       Impact factor: 3.481

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