Literature DB >> 19701503

A feasibility study of parametric response map analysis of diffusion-weighted magnetic resonance imaging scans of head and neck cancer patients for providing early detection of therapeutic efficacy.

Craig J Galbán1, Suresh K Mukherji, Thomas L Chenevert, Charles R Meyer, Daniel A Hamstra, Peyton H Bland, Timothy D Johnson, Bradford A Moffat, Alnawaz Rehemtulla, Avraham Eisbruch, Brian D Ross.   

Abstract

The parametric response map (PRM) was evaluated as an early surrogate biomarker for monitoring treatment-induced tissue alterations in patients with head and neck squamous cell carcinoma (HNSCC). Diffusion-weighted magnetic resonance imaging (DW-MRI) was performed on 15 patients with HNSCC at baseline and 3 weeks after treatment initiation of a nonsurgical organ preservation therapy (NSOPT) using concurrent radiation and chemotherapy. PRM was applied on serial apparent diffusion coefficient (ADC) maps that were spatially aligned using a deformable image registration algorithm to measure the tumor volume exhibiting significant changes in ADC (PRM(ADC)). Pretherapy and midtherapy ADC maps, quantified from the DWIs, were analyzed by monitoring the percent change in whole-tumor mean ADC and the PRM metric. The prognostic values of percentage change in tumor volume and mean ADC and PRM(ADC) as a treatment response biomarker were assessed by correlating with tumor control at 6 months. Pixel-wise differences as part of PRM(ADC) analysis revealed regions where water mobility increased. Analysis of the tumor ADC histograms also showed increases in mean ADC as early as 3 weeks into therapy in patients with a favorable outcome. Nevertheless, the percentage change in mean ADC was found to not correlate with tumor control at 6 months. In contrast, significant differences in PRM(ADC) and percentage change in tumor volume were observed between patients with pathologically different outcomes. Observations from this study have found that diffusion MRI, when assessed by PRM(ADC), has the potential to provide both prognostic and spatial information during NSOPT of head and neck cancer.

Entities:  

Year:  2009        PMID: 19701503      PMCID: PMC2730136          DOI: 10.1593/tlo.09175

Source DB:  PubMed          Journal:  Transl Oncol        ISSN: 1936-5233            Impact factor:   4.243


  31 in total

1.  SENSE: sensitivity encoding for fast MRI.

Authors:  K P Pruessmann; M Weiger; M B Scheidegger; P Boesiger
Journal:  Magn Reson Med       Date:  1999-11       Impact factor: 4.668

2.  Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations.

Authors:  Anwar R Padhani; Guoying Liu; Dow Mu Koh; Thomas L Chenevert; Harriet C Thoeny; Taro Takahara; Andrew Dzik-Jurasz; Brian D Ross; Marc Van Cauteren; David Collins; Dima A Hammoud; Gordon J S Rustin; Bachir Taouli; Peter L Choyke
Journal:  Neoplasia       Date:  2009-02       Impact factor: 5.715

3.  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

4.  Cancer statistics, 2008.

Authors:  Ahmedin Jemal; Rebecca Siegel; Elizabeth Ward; Yongping Hao; Jiaquan Xu; Taylor Murray; Michael J Thun
Journal:  CA Cancer J Clin       Date:  2008-02-20       Impact factor: 508.702

5.  Initial experience of 3-tesla apparent diffusion coefficient values in characterizing squamous cell carcinomas of the head and neck.

Authors:  A Srinivasan; R Dvorak; S Rohrer; S K Mukherji
Journal:  Acta Radiol       Date:  2008-11       Impact factor: 1.990

6.  Diffusion magnetic resonance imaging: an imaging treatment response biomarker to chemoradiotherapy in a mouse model of squamous cell cancer of the head and neck.

Authors:  Daniel A Hamstra; Kuei C Lee; Bradford A Moffat; Thomas L Chenevert; Alnawaz Rehemtulla; Brian D Ross
Journal:  Transl Oncol       Date:  2008-12       Impact factor: 4.243

7.  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

8.  A comparison between radiolabeled fluorodeoxyglucose uptake and hyperpolarized (13)C-labeled pyruvate utilization as methods for detecting tumor response to treatment.

Authors:  Timothy H Witney; Mikko I Kettunen; Samuel E Day; De-en Hu; Andre A Neves; Ferdia A Gallagher; Sandra M Fulton; Kevin M Brindle
Journal:  Neoplasia       Date:  2009-06       Impact factor: 5.715

9.  Monitoring of tumor promotion and progression in a mouse model of inflammation-induced colon cancer with magnetic resonance colonography.

Authors:  Matthew R Young; Lilia V Ileva; Marcelino Bernardo; Lisa A Riffle; Yava L Jones; Young S Kim; Nancy H Colburn; Peter L Choyke
Journal:  Neoplasia       Date:  2009-03       Impact factor: 5.715

10.  Noninvasive multimodality imaging of the tumor microenvironment: registered dynamic magnetic resonance imaging and positron emission tomography studies of a preclinical tumor model of tumor hypoxia.

Authors:  HyungJoon Cho; Ellen Ackerstaff; Sean Carlin; Mihaela E Lupu; Ya Wang; Asif Rizwan; Joseph O'Donoghue; C Clifton Ling; John L Humm; Pat B Zanzonico; Jason A Koutcher
Journal:  Neoplasia       Date:  2009-03       Impact factor: 5.715

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  52 in total

Review 1.  Biologic imaging of head and neck cancer: the present and the future.

Authors:  A Srinivasan; S Mohan; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-22       Impact factor: 3.825

Review 2.  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

Review 3.  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

4.  Practical estimate of gradient nonlinearity for implementation of apparent diffusion coefficient bias correction.

Authors:  Dariya I Malkyarenko; Thomas L Chenevert
Journal:  J Magn Reson Imaging       Date:  2014-12       Impact factor: 4.813

5.  Analysis and correction of gradient nonlinearity bias in apparent diffusion coefficient measurements.

Authors:  Dariya I Malyarenko; Brian D Ross; Thomas L Chenevert
Journal:  Magn Reson Med       Date:  2014-03       Impact factor: 4.668

6.  Erratum.

Authors: 
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

7.  CT perfusion of head and neck cancer: why we should care versus why should we care!

Authors:  S K Mukherji; J A Castelijns
Journal:  AJNR Am J Neuroradiol       Date:  2009-11-19       Impact factor: 3.825

8.  Image registration for quantitative parametric response mapping of cancer treatment response.

Authors:  Jennifer L Boes; Benjamin A Hoff; Nola Hylton; Martin D Pickles; Lindsay W Turnbull; Anne F Schott; Alnawaz Rehemtulla; Ryan Chamberlain; Benjamin Lemasson; Thomas L Chenevert; Craig J Galbán; Charles R Meyer; Brian D Ross
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

9.  Functional diffusion map as an imaging predictor of functional outcome in patients with primary intracerebral haemorrhage.

Authors:  Y-H Tsai; L-M Hsu; H-H Weng; M-H Lee; J-T Yang; C-P Lin
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

Review 10.  Clinical applications for diffusion magnetic resonance imaging in radiotherapy.

Authors:  Christina Tsien; Yue Cao; Thomas Chenevert
Journal:  Semin Radiat Oncol       Date:  2014-07       Impact factor: 5.934

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