Literature DB >> 25628799

Treatment assessment of radiotherapy using MR functional quantitative imaging.

Zheng Chang1, Chunhao Wang1.   

Abstract

Recent developments in magnetic resonance (MR) functional quantitative imaging have made it a potentially powerful tool to assess treatment response in radiation therapy. With its abilities to capture functional information on underlying tissue characteristics, MR functional quantitative imaging can be valuable in assessing treatment response and as such to optimize therapeutic outcome. Various MR quantitative imaging techniques, including diffusion weighted imaging, diffusion tensor imaging, MR spectroscopy and dynamic contrast enhanced imaging, have been investigated and found useful for assessment of radiotherapy. However, various aspects including data reproducibility, interpretation of biomarkers, image quality and data analysis impose challenges on applications of MR functional quantitative imaging in radiotherapy assessment. All of these challenging issues shall be addressed to help us understand whether MR functional quantitative imaging is truly beneficial and contributes to future development of radiotherapy. It is evident that individualized therapy is the future direction of patient care. MR functional quantitative imaging might serves as an indispensable tool towards this promising direction.

Entities:  

Keywords:  MR functional quantitative imaging; Radiation therapy; Treatment assessment

Year:  2015        PMID: 25628799      PMCID: PMC4295173          DOI: 10.4329/wjr.v7.i1.1

Source DB:  PubMed          Journal:  World J Radiol        ISSN: 1949-8470


  31 in total

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2.  Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis.

Authors:  A Karahaliou; K Vassiou; N S Arikidis; S Skiadopoulos; T Kanavou; L Costaridou
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Review 3.  Functional MRI for radiotherapy dose painting.

Authors:  Uulke A van der Heide; Antonetta C Houweling; Greetje Groenendaal; Regina G H Beets-Tan; Philippe Lambin
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

Review 4.  Innovations in image-guided radiotherapy.

Authors:  Dirk Verellen; Mark De Ridder; Nadine Linthout; Koen Tournel; Guy Soete; Guy Storme
Journal:  Nat Rev Cancer       Date:  2007-12       Impact factor: 60.716

Review 5.  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

6.  Heterogeneity in DCE-MRI parametric maps: a biomarker for treatment response?

Authors:  L Alic; M van Vliet; C F van Dijke; A M M Eggermont; J F Veenland; W J Niessen
Journal:  Phys Med Biol       Date:  2011-02-18       Impact factor: 3.609

Review 7.  Parallel MR imaging.

Authors:  Anagha Deshmane; Vikas Gulani; Mark A Griswold; Nicole Seiberlich
Journal:  J Magn Reson Imaging       Date:  2012-07       Impact factor: 4.813

8.  Diffusion-weighted magnetic resonance imaging for predicting and detecting early response to chemoradiation therapy of squamous cell carcinomas of the head and neck.

Authors:  Sungheon Kim; Laurie Loevner; Harry Quon; Eric Sherman; Gregory Weinstein; Alex Kilger; Harish Poptani
Journal:  Clin Cancer Res       Date:  2009-02-01       Impact factor: 12.531

9.  Temporal sampling requirements for the tracer kinetics modeling of breast disease.

Authors:  E Henderson; B K Rutt; T Y Lee
Journal:  Magn Reson Imaging       Date:  1998-11       Impact factor: 2.546

10.  Quantitative cerebral perfusion using dynamic susceptibility contrast MRI: evaluation of reproducibility and age- and gender-dependence with fully automatic image postprocessing algorithm.

Authors:  Wanyong Shin; Sandra Horowitz; Ann Ragin; Yufen Chen; Matthew Walker; Timothy J Carroll
Journal:  Magn Reson Med       Date:  2007-12       Impact factor: 4.668

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  7 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

2.  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

3.  Dynamic fractal signature dissimilarity analysis for therapeutic response assessment using dynamic contrast-enhanced MRI.

Authors:  Chunhao Wang; Ergys Subashi; Fang-Fang Yin; Zheng Chang
Journal:  Med Phys       Date:  2016-03       Impact factor: 4.071

4.  Post-Radiotherapy PET Image Outcome Prediction by Deep Learning Under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application.

Authors:  Hangjie Ji; Kyle Lafata; Yvonne Mowery; David Brizel; Andrea L Bertozzi; Fang-Fang Yin; Chunhao Wang
Journal:  Front Oncol       Date:  2022-05-13       Impact factor: 5.738

5.  Assessment of concurrent stereotactic radiosurgery and bevacizumab treatment of recurrent malignant gliomas using multi-modality MRI imaging and radiomics analysis.

Authors:  Chunhao Wang; Wenzheng Sun; John Kirkpatrick; Zheng Chang; Fang-Fang Yin
Journal:  J Radiosurg SBRT       Date:  2018

6.  Development of a Computerized 4-D MRI Phantom for Liver Motion Study.

Authors:  Chunhao Wang; Fang-Fang Yin; W P Segars; Zheng Chang; Lei Ren
Journal:  Technol Cancer Res Treat       Date:  2017-08-09

Review 7.  Basic concepts and applications of functional magnetic resonance imaging for radiotherapy of prostate cancer.

Authors:  Lars E Olsson; Mikael Johansson; Björn Zackrisson; Lennart K Blomqvist
Journal:  Phys Imaging Radiat Oncol       Date:  2019-02-25
  7 in total

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