Literature DB >> 20860004

Assessment of multiexponential diffusion features as MRI cancer therapy response metrics.

Benjamin A Hoff1, Thomas L Chenevert, Mahaveer S Bhojani, Thomas C Kwee, Alnawaz Rehemtulla, Denis Le Bihan, Brian D Ross, Craig J Galbán.   

Abstract

The aim of this study was to empirically test the effect of chemotherapy-induced tissue changes in a glioma model as measured by several diffusion indices calculated from nonmonoexponential formalisms over a wide range of b-values. We also compared these results to the conventional two-point apparent diffusion coefficient calculation using nominal b-values. Diffusion-weighted imaging was performed over an extended range of b-values (120-4000 sec/mm(2) ) on intracerebral rat 9L gliomas before and after a single dose of 1,3-bis(2-chloroethyl)-1-nitrosourea. Diffusion indices from three formalisms of diffusion-weighted signal decay [(a) two-point analytical calculation using either low or high b-values, (b) a stretched exponential formalism, and (c) a biexponential fit] were tested for responsiveness to therapy-induced differences between control and treated groups. Diffusion indices sensitive to "fast diffusion" produced the largest response to treatment, which resulted in significant differences between groups. These trends were not observed for "slow diffusion" indices. Although the highest rate of response was observed from the biexponential formalism, this was not found to be significantly different from the conventional monoexponential apparent diffusion coefficient method. In conclusion, parameters from the more complicated nonmonoexponential formalisms did not provide additional sensitivity to treatment response in this glioma model beyond that observed from the two-point conventional monoexponential apparent diffusion coefficient method.
Copyright © 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20860004      PMCID: PMC2965786          DOI: 10.1002/mrm.22507

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  41 in total

1.  Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model.

Authors:  Kevin M Bennett; Kathleen M Schmainda; Raoqiong Tong Bennett; Daniel B Rowe; Hanbing Lu; James S Hyde
Journal:  Magn Reson Med       Date:  2003-10       Impact factor: 4.668

2.  Is the "biexponential diffusion" biexponential?

Authors:  Valerij G Kiselev; Kamil A Il'yasov
Journal:  Magn Reson Med       Date:  2007-03       Impact factor: 4.668

3.  Prospective early response imaging biomarker for neoadjuvant breast cancer chemotherapy.

Authors:  Kuei C Lee; Bradford A Moffat; Anne F Schott; Rachel Layman; Steven Ellingworth; Rebecca Juliar; Amjad P Khan; Mark Helvie; Charles R Meyer; Thomas L Chenevert; Alnawaz Rehemtulla; Brian D Ross
Journal:  Clin Cancer Res       Date:  2007-01-15       Impact factor: 12.531

Review 4.  Diffusion magnetic resonance imaging: a biomarker for treatment response in oncology.

Authors:  Daniel A Hamstra; Alnawaz Rehemtulla; Brian D Ross
Journal:  J Clin Oncol       Date:  2007-09-10       Impact factor: 44.544

5.  Contributions of cell kill and posttreatment tumor growth rates to the repopulation of intracerebral 9L tumors after chemotherapy: an MRI study.

Authors:  B D Ross; Y J Zhao; E R Neal; L D Stegman; M Ercolani; O Ben-Yoseph; T L Chenevert
Journal:  Proc Natl Acad Sci U S A       Date:  1998-06-09       Impact factor: 11.205

Review 6.  High b-value q-space analyzed diffusion-weighted MRS and MRI in neuronal tissues - a technical review.

Authors:  Yoram Cohen; Yaniv Assaf
Journal:  NMR Biomed       Date:  2002 Nov-Dec       Impact factor: 4.044

Review 7.  Diffusion imaging for evaluation of tumor therapies in preclinical animal models.

Authors:  B A Moffat; D E Hall; J Stojanovska; P J McConville; J B Moody; T L Chenevert; A Rehemtulla; B D Ross
Journal:  MAGMA       Date:  2004-12-01       Impact factor: 2.310

8.  Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival.

Authors:  Daniel A Hamstra; Craig J Galbán; Charles R Meyer; Timothy D Johnson; Pia C Sundgren; Christina Tsien; Theodore S Lawrence; Larry Junck; David J Ross; Alnawaz Rehemtulla; Brian D Ross; Thomas L Chenevert
Journal:  J Clin Oncol       Date:  2008-06-09       Impact factor: 44.544

9.  Diffusion-weighted magnetic resonance imaging in the early detection of response to chemoradiation in cervical cancer.

Authors:  Vanessa N Harry; Scott I Semple; Fiona J Gilbert; David E Parkin
Journal:  Gynecol Oncol       Date:  2008-09-06       Impact factor: 5.482

10.  Monitoring early response of experimental brain tumors to therapy using diffusion magnetic resonance imaging.

Authors:  T L Chenevert; P E McKeever; B D Ross
Journal:  Clin Cancer Res       Date:  1997-09       Impact factor: 12.531

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  12 in total

1.  A comparative assessment of preclinical chemotherapeutic response of tumors using quantitative non-Gaussian diffusion MRI.

Authors:  Junzhong Xu; Ke Li; R Adam Smith; John C Waterton; Ping Zhao; Zhaohua Ding; Mark D Does; H Charles Manning; John C Gore
Journal:  Magn Reson Imaging       Date:  2016-12-03       Impact factor: 2.546

2.  Multimodality imaging of tumor and bone response in a mouse model of bony metastasis.

Authors:  Benjamin A Hoff; Komal Chughtai; Yong Hyun Jeon; Kenneth Kozloff; Stefanie Galbán; Alnawaz Rehemtulla; Brian D Ross; Craig J Galbán
Journal:  Transl Oncol       Date:  2012-12-01       Impact factor: 4.243

Review 3.  Advanced magnetic resonance imaging methods for planning and monitoring radiation therapy in patients with high-grade glioma.

Authors:  Janine M Lupo; Sarah J Nelson
Journal:  Semin Radiat Oncol       Date:  2014-07-26       Impact factor: 5.934

Review 4.  High-field small animal magnetic resonance oncology studies.

Authors:  Louisa Bokacheva; Ellen Ackerstaff; H Carl LeKaye; Kristen Zakian; Jason A Koutcher
Journal:  Phys Med Biol       Date:  2013-12-30       Impact factor: 3.609

5.  Parsimonious modeling of skeletal muscle perfusion: Connecting the stretched exponential and fractional Fickian diffusion.

Authors:  David A Reiter; Fatemeh Adelnia; Donnie Cameron; Richard G Spencer; Luigi Ferrucci
Journal:  Magn Reson Med       Date:  2021-03-16       Impact factor: 3.737

6.  Integrated multimodal imaging of dynamic bone-tumor alterations associated with metastatic prostate cancer.

Authors:  Jean-Christophe Brisset; Benjamin A Hoff; Thomas L Chenevert; Jon A Jacobson; Jennifer L Boes; Stefanie Galbán; Alnawaz Rehemtulla; Timothy D Johnson; Kenneth J Pienta; Craig J Galbán; Charles R Meyer; Timothy Schakel; Klaas Nicolay; Ajjai S Alva; Maha Hussain; Brian D Ross
Journal:  PLoS One       Date:  2015-04-10       Impact factor: 3.240

7.  Assessment of early treatment response to neoadjuvant chemotherapy in breast cancer using non-mono-exponential diffusion models: a feasibility study comparing the baseline and mid-treatment MRI examinations.

Authors:  Reem Bedair; Andrew N Priest; Andrew J Patterson; Mary A McLean; Martin J Graves; Roido Manavaki; Andrew B Gill; Oshaani Abeyakoon; John R Griffiths; Fiona J Gilbert
Journal:  Eur Radiol       Date:  2016-10-31       Impact factor: 5.315

8.  Diffusion-weighted MR imaging of metastatic abdominal and pelvic tumours is sensitive to early changes induced by a VEGF inhibitor using alternative diffusion attenuation models.

Authors:  Matthew R Orton; Christina Messiou; David Collins; Veronica A Morgan; Jean Tessier; Helen Young; Nandita deSouza; Martin O Leach
Journal:  Eur Radiol       Date:  2015-08-08       Impact factor: 5.315

9.  Oesophageal squamous cell carcinoma: histogram-derived ADC parameters are not predictive of tumour response to chemoradiotherapy.

Authors:  Maiko Kozumi; Hideki Ota; Takaya Yamamoto; Rei Umezawa; Haruo Matsushita; Yojiro Ishikawa; Noriyoshi Takahashi; Tomonori Matsuura; Kei Takase; Keiichi Jingu
Journal:  Eur Radiol       Date:  2018-05-03       Impact factor: 5.315

10.  Noninvasive diffusion magnetic resonance imaging of brain tumour cell size for the early detection of therapeutic response.

Authors:  Thomas A Roberts; Harpreet Hyare; Giulia Agliardi; Ben Hipwell; Angela d'Esposito; Andrada Ianus; James O Breen-Norris; Rajiv Ramasawmy; Valerie Taylor; David Atkinson; Shonit Punwani; Mark F Lythgoe; Bernard Siow; Sebastian Brandner; Jeremy Rees; Eleftheria Panagiotaki; Daniel C Alexander; Simon Walker-Samuel
Journal:  Sci Rep       Date:  2020-06-08       Impact factor: 4.379

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