Literature DB >> 12637476

Early detection of response to radiation therapy in patients with brain malignancies using conventional and high b-value diffusion-weighted magnetic resonance imaging.

Yael Mardor1, Raphael Pfeffer, Roberto Spiegelmann, Yiftach Roth, Stephan E Maier, Ouzi Nissim, Raanan Berger, Ami Glicksman, Jacob Baram, Arie Orenstein, Jack S Cohen, Thomas Tichler.   

Abstract

PURPOSE: To study the feasibility of using diffusion-weighted magnetic resonance imaging (DWMRI), which is sensitive to the diffusion of water molecules in tissues, for detection of early tumor response to radiation therapy; and to evaluate the additional information obtained from high DWMRI, which is more sensitive to low-mobility water molecules (such as intracellular or bound water), in increasing the sensitivity to response. PATIENTS AND METHODS: Standard MRI and DWMRI were acquired before and at regular intervals after initiating radiation therapy for 10 malignant brain lesions in eight patients.
RESULTS: One week posttherapy, three of six responding lesions showed an increase in the conventional DWMRI parameters. Another three responding lesions showed no change. Four nonresponding lesions showed a decrease or no change. The early change in the diffusion parameters was enhanced by using high DWMRI. When high DWMRI was used, all responding lesions showed increase in the diffusion parameter and all nonresponding lesions showed no change or decrease. Response was determined by standard MRI 7 weeks posttherapy. The changes in the diffusion parameters measured 1 week after initiating treatment were correlated with later tumor response or no response (P <.006). This correlation was increased to P <.0006 when high DWMRI was used.
CONCLUSION: The significant correlation between changes in diffusion parameters 1 week after initiating treatment and later tumor response or no response suggests the feasibility of using DWMRI for early, noninvasive prediction of tumor response. The ability to predict response may enable early termination of treatment in nonresponding patients, prevent additional toxicity, and allow for early changes in treatment.

Entities:  

Mesh:

Year:  2003        PMID: 12637476     DOI: 10.1200/JCO.2003.05.069

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  100 in total

Review 1.  Diffusion tensor imaging of the brain: review of clinical applications.

Authors:  P C Sundgren; Q Dong; D Gómez-Hassan; S K Mukherji; P Maly; R Welsh
Journal:  Neuroradiology       Date:  2004-04-21       Impact factor: 2.804

Review 2.  Diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) for monitoring anticancer therapy.

Authors:  Anwar R Padhani; Aftab Alam Khan
Journal:  Target Oncol       Date:  2010-04-11       Impact factor: 4.493

3.  Squamous cell carcinoma of the head and neck: diffusion-weighted MR imaging for prediction and monitoring of treatment response.

Authors:  Ann D King; Frankie K F Mo; Kwok-Hung Yu; David K W Yeung; Hua Zhou; Kunwar S Bhatia; Gary M K Tse; Alexander C Vlantis; Jeffrey K T Wong; Anil T Ahuja
Journal:  Eur Radiol       Date:  2010-03-23       Impact factor: 5.315

Review 4.  Applications of molecular imaging.

Authors:  Craig J Galbán; Stefanie Galbán; Marcian E Van Dort; Gary D Luker; Mahaveer S Bhojani; Alnawaz Rehemtulla; Brian D Ross
Journal:  Prog Mol Biol Transl Sci       Date:  2010       Impact factor: 3.622

5.  Evaluation of diffusion parameters as early biomarkers of disease progression in glioblastoma multiforme.

Authors:  Inas S Khayal; Mei-Yin C Polley; Llewellyn Jalbert; Adam Elkhaled; Susan M Chang; Soonmee Cha; Nicholas A Butowski; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2010-05-25       Impact factor: 12.300

Review 6.  Diffusion-weighted MRI for assessment of early cancer treatment response.

Authors:  Stefanie Galbán; Jean-Christophe Brisset; Alnawaz Rehemtulla; Thomas L Chenevert; Brian D Ross; Craig J Galbán
Journal:  Curr Pharm Biotechnol       Date:  2010-09-01       Impact factor: 2.837

7.  Diffusion-weighted magnetic resonance imaging for predicting the response of rectal cancer to neoadjuvant concurrent chemoradiation.

Authors:  Gang Cai; Ye Xu; Ji Zhu; Wei-Lie Gu; Shuai Zhang; Xue-Jun Ma; San-Jun Cai; Zhen Zhang
Journal:  World J Gastroenterol       Date:  2013-09-07       Impact factor: 5.742

8.  Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for head and neck squamous cell carcinoma.

Authors:  Vincent Vandecaveye; Piet Dirix; Frederik De Keyzer; Katya Op de Beeck; Vincent Vander Poorten; I Roebben; Sandra Nuyts; Robert Hermans
Journal:  Eur Radiol       Date:  2010-02-24       Impact factor: 5.315

Review 9.  MRI-only treatment planning: benefits and challenges.

Authors:  Amir M Owrangi; Peter B Greer; Carri K Glide-Hurst
Journal:  Phys Med Biol       Date:  2018-02-26       Impact factor: 3.609

10.  Uveal melanoma: quantitative evaluation of diffusion-weighted MR imaging in the response assessment after proton-beam therapy, long-term follow-up.

Authors:  Pietro Valerio Foti; Antonio Longo; Michele Reibaldi; Andrea Russo; Giuseppe Privitera; Corrado Spatola; Luigi Raffaele; Vincenzo Salamone; Renato Farina; Stefano Palmucci; Andrea Musumeci; Rosario Caltabiano; Marco Ragusa; Cesare Mariotti; Teresio Avitabile; Pietro Milone; Giovanni Carlo Ettorre
Journal:  Radiol Med       Date:  2016-10-17       Impact factor: 3.469

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