Literature DB >> 22770686

Functional MRI for radiotherapy dose painting.

Uulke A van der Heide1, Antonetta C Houweling, Greetje Groenendaal, Regina G H Beets-Tan, Philippe Lambin.   

Abstract

Modern radiation therapy techniques are exceptionally flexible in the deposition of radiation dose in a target volume. Complex distributions of dose can be delivered reliably, so that the tumor is exposed to a high dose, whereas nearby healthy structures can be avoided. As a result, an increase in curative dose is no longer invariably associated with an increased level of toxicity. This modern technology can be exploited further by modulating the required dose in space so as to match the variation in radiation sensitivity in the tumor. This approach is called dose painting. For dose painting to be effective, functional imaging techniques are essential to identify regions in a tumor that require a higher dose. Several techniques are available in nuclear medicine and radiology. In recent years, there has been a considerable research effort concerning the integration of magnetic resonance imaging (MRI) into the external radiotherapy workflow motivated by the superior soft tissue contrast as compared to computed tomography. In MRI, diffusion-weighted MRI reflects the cell density of tissue and thus may indicate regions with a higher tumor load. Dynamic contrast-enhanced MRI reflects permeability of the microvasculature and blood flow, correlated to the oxygenation of the tumor. These properties have impact on its radiation sensitivity. New questions must be addressed when these techniques are applied in radiation therapy: scanning in treatment position requires alternative solutions to the standard patient setup in the choice of receive coils compared to a diagnostic department. This standard positioning also facilitates repeated imaging. The geometrical accuracy of MR images is critical for high-precision radiotherapy. In particular, when multiparametric functional data are used for dose painting, quantification of functional parameters at a high spatial resolution becomes important. In this review, we will address these issues and describe clinical developments in MRI-guided dose painting.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22770686      PMCID: PMC5134673          DOI: 10.1016/j.mri.2012.04.010

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  77 in total

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Authors:  John A Lee
Journal:  Radiother Oncol       Date:  2010-08-11       Impact factor: 6.280

2.  Adaptive dose painting by numbers for head-and-neck cancer.

Authors:  Fréderic Duprez; Wilfried De Neve; Werner De Gersem; Marc Coghe; Indira Madani
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-07-17       Impact factor: 7.038

Review 3.  Planning in the IGRT context: closing the loop.

Authors:  Gig S Mageras; James Mechalakos
Journal:  Semin Radiat Oncol       Date:  2007-10       Impact factor: 5.934

4.  Difficulties and potential of correlating local recurrences in prostate cancer with the delivered local dose.

Authors:  Marco van Vulpen; Cornelis A T van den Berg; Maaike R Moman; Uulke A van der Heide
Journal:  Radiother Oncol       Date:  2009-08-21       Impact factor: 6.280

5.  Supine breast MRI.

Authors:  Peter Siegler; Claire M B Holloway; Petrina Causer; Gilbert Thevathasan; Donald B Plewes
Journal:  J Magn Reson Imaging       Date:  2011-09-16       Impact factor: 4.813

6.  PET imaging of hypoxia using [18F]HX4: a phase I trial.

Authors:  Judith van Loon; Marco H M Janssen; Michel Ollers; Hugo J W L Aerts; Ludwig Dubois; Monique Hochstenbag; Anne-Marie C Dingemans; Roy Lalisang; Boudewijn Brans; Bert Windhorst; Guus A van Dongen; Hartmuth Kolb; James Zhang; Dirk De Ruysscher; Philippe Lambin
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-04-06       Impact factor: 9.236

7.  Reproducibility and correlation between quantitative and semiquantitative dynamic and intrinsic susceptibility-weighted MRI parameters in the benign and malignant human prostate.

Authors:  Roberto Alonzi; N Jane Taylor; J James Stirling; James A d'Arcy; David J Collins; Michele I Saunders; Peter J Hoskin; Anwar R Padhani
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

8.  Adapting radiotherapy to hypoxic tumours.

Authors:  Eirik Malinen; Aste Søvik; Dimitre Hristov; Øyvind S Bruland; Dag Rune Olsen
Journal:  Phys Med Biol       Date:  2006-09-18       Impact factor: 3.609

9.  Tumor perfusion studies using fast magnetic resonance imaging technique in advanced cervical cancer: a new noninvasive predictive assay.

Authors:  N A Mayr; W T Yuh; V A Magnotta; J C Ehrhardt; J A Wheeler; J I Sorosky; C S Davis; B C Wen; D D Martin; R E Pelsang; R E Buller; L W Oberley; D E Mellenberg; D H Hussey
Journal:  Int J Radiat Oncol Biol Phys       Date:  1996-10-01       Impact factor: 7.038

10.  Magnetic resonance imaging protocol optimization for delineation of gross tumor volume in hypopharyngeal and laryngeal tumors.

Authors:  Gerda M Verduijn; Lambertus W Bartels; Cornelis P J Raaijmakers; Chris H J Terhaard; Frank A Pameijer; Cornelis A T van den Berg
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-06-01       Impact factor: 7.038

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  43 in total

1.  Evaluation of the effect of transcytolemmal water exchange analysis for therapeutic response assessment using DCE-MRI: a comparison study.

Authors:  Chunhao Wang; Ergys Subashi; Xiao Liang; Fang-Fang Yin; Zheng Chang
Journal:  Phys Med Biol       Date:  2016-06-08       Impact factor: 3.609

Review 2.  Review of treatment assessment using DCE-MRI in breast cancer radiation therapy.

Authors:  Chun-Hao Wang; Fang-Fang Yin; Janet Horton; Zheng Chang
Journal:  World J Methodol       Date:  2014-06-26

3.  Treatment assessment of radiotherapy using MR functional quantitative imaging.

Authors:  Zheng Chang; Chunhao Wang
Journal:  World J Radiol       Date:  2015-01-28

4.  MRI-based treatment planning for brain stereotactic radiosurgery: Dosimetric validation of a learning-based pseudo-CT generation method.

Authors:  Tonghe Wang; Nivedh Manohar; Yang Lei; Anees Dhabaan; Hui-Kuo Shu; Tian Liu; Walter J Curran; Xiaofeng Yang
Journal:  Med Dosim       Date:  2018-08-14       Impact factor: 1.482

Review 5.  Emerging role of MRI in radiation therapy.

Authors:  Hersh Chandarana; Hesheng Wang; R H N Tijssen; Indra J Das
Journal:  J Magn Reson Imaging       Date:  2018-09-08       Impact factor: 4.813

6.  Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration.

Authors:  A Wentzel; P Hanula; T Luciani; B Elgohari; H Elhalawani; G Canahuate; D Vock; C D Fuller; G E Marai
Journal:  IEEE Trans Vis Comput Graph       Date:  2019-08-22       Impact factor: 4.579

7.  Accelerated Brain DCE-MRI Using Iterative Reconstruction With Total Generalized Variation Penalty for Quantitative Pharmacokinetic Analysis: A Feasibility Study.

Authors:  Chunhao Wang; Fang-Fang Yin; John P Kirkpatrick; Zheng Chang
Journal:  Technol Cancer Res Treat       Date:  2016-05-23

8.  Perfusion parameters of dynamic contrast-enhanced magnetic resonance imaging predict outcomes of hepatocellular carcinoma receiving radiotherapy with or without thalidomide.

Authors:  Po-Chin Liang; Hui-Ju Ch'ang; Chiun Hsu; Li-Tzong Chen; Tiffany T F Shih; Tsang Wu Liu
Journal:  Hepatol Int       Date:  2014-07-26       Impact factor: 6.047

9.  MRI-based synthetic CT generation using semantic random forest with iterative refinement.

Authors:  Yang Lei; Joseph Harms; Tonghe Wang; Sibo Tian; Jun Zhou; Hui-Kuo Shu; Jim Zhong; Hui Mao; Walter J Curran; Tian Liu; Xiaofeng Yang
Journal:  Phys Med Biol       Date:  2019-04-05       Impact factor: 3.609

10.  Robust Estimation of Electron Density From Anatomic Magnetic Resonance Imaging of the Brain Using a Unifying Multi-Atlas Approach.

Authors:  Shangjie Ren; Wendy Hara; Lei Wang; Mark K Buyyounouski; Quynh-Thu Le; Lei Xing; Ruijiang Li
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-12-14       Impact factor: 7.038

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