Literature DB >> 19906496

Noninvasive assessment of tumor microenvironment using dynamic contrast-enhanced magnetic resonance imaging and 18F-fluoromisonidazole positron emission tomography imaging in neck nodal metastases.

Jacobus F A Jansen1, Heiko Schöder, Nancy Y Lee, Ya Wang, David G Pfister, Matthew G Fury, Hilda E Stambuk, John L Humm, Jason A Koutcher, Amita Shukla-Dave.   

Abstract

PURPOSE: To assess noninvasively the tumor microenvironment of neck nodal metastases in patients with head-and-neck cancer by investigating the relationship between tumor perfusion measured using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and hypoxia measured by (18)F-fluoromisonidazole ((18)F-FMISO) positron emission tomography (PET). METHODS AND MATERIALS: Thirteen newly diagnosed head-and-neck cancer patients with metastatic neck nodes underwent DCE-MRI and (18)F-FMISO PET imaging before chemotherapy and radiotherapy. The matched regions of interests from both modalities were analyzed. To examine the correlations between DCE-MRI parameters and standard uptake value (SUV) measurements from (18)F-FMISO PET, the nonparametric Spearman correlation coefficient was calculated. Furthermore, DCE-MRI parameters were compared between nodes with (18)F-FMISO uptake and nodes with no (18)F-FMISO uptake using Mann-Whitney U tests.
RESULTS: For the 13 patients, a total of 18 nodes were analyzed. The nodal size strongly correlated with the (18)F-FMISO SUV (rho = 0.74, p < 0.001). There was a strong negative correlation between the median k(ep) (redistribution rate constant) value (rho = -0.58, p = 0.042) and the (18)F-FMISO SUV. Hypoxic nodes (moderate to severe (18)F-FMISO uptake) had significantly lower median K(trans) (volume transfer constant) (p = 0.049) and median k(ep) (p = 0.027) values than did nonhypoxic nodes (no (18)F-FMISO uptake).
CONCLUSION: This initial evaluation of the preliminary results support the hypothesis that in metastatic neck lymph nodes, hypoxic nodes are poorly perfused (i.e., have significantly lower K(trans) and k(ep) values) compared with nonhypoxic nodes. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19906496      PMCID: PMC2888682          DOI: 10.1016/j.ijrobp.2009.07.009

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  33 in total

1.  Multicompartment analysis of gadolinium chelate kinetics: blood-tissue exchange in mammary tumors as monitored by dynamic MR imaging.

Authors:  R E Port; M V Knopp; U Hoffmann; S Milker-Zabel; G Brix
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

Review 2.  Dynamic contrast-enhanced magnetic resonance imaging as an imaging biomarker.

Authors:  Nola Hylton
Journal:  J Clin Oncol       Date:  2006-07-10       Impact factor: 44.544

3.  Quantifying regional hypoxia in human tumors with positron emission tomography of [18F]fluoromisonidazole: a pretherapy study of 37 patients.

Authors:  J S Rasey; W J Koh; M L Evans; L M Peterson; T K Lewellen; M M Graham; K A Krohn
Journal:  Int J Radiat Oncol Biol Phys       Date:  1996-09-01       Impact factor: 7.038

4.  Oxygenation of head and neck cancer: changes during radiotherapy and impact on treatment outcome.

Authors:  D M Brizel; R K Dodge; R W Clough; M W Dewhirst
Journal:  Radiother Oncol       Date:  1999-11       Impact factor: 6.280

5.  Tumor hypoxia imaging with [F-18] fluoromisonidazole positron emission tomography in head and neck cancer.

Authors:  Joseph G Rajendran; David L Schwartz; Janet O'Sullivan; Lanell M Peterson; Patrick Ng; Jeffrey Scharnhorst; John R Grierson; Kenneth A Krohn
Journal:  Clin Cancer Res       Date:  2006-09-15       Impact factor: 12.531

Review 6.  Hypoxia and aggressive tumor phenotype: implications for therapy and prognosis.

Authors:  Peter Vaupel
Journal:  Oncologist       Date:  2008

7.  Tumor volume and tumor hypoxia in head and neck cancers. The amount of the hypoxic volume is important.

Authors:  Jürgen Dunst; Peter Stadler; Axel Becker; Christine Lautenschläger; Tanja Pelz; Gabriele Hänsgen; Michael Molls; Thomas Kuhnt
Journal:  Strahlenther Onkol       Date:  2003-08       Impact factor: 3.621

Review 8.  Hypoxia in tumors: a paradigm for the approach to biochemical and physiologic heterogeneity.

Authors:  C N Coleman
Journal:  J Natl Cancer Inst       Date:  1988-05-04       Impact factor: 13.506

9.  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

Review 10.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Authors:  P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

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  40 in total

1.  Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer.

Authors:  Jacobus Fa Jansen; Yonggang Lu; Gaorav Gupta; Nancy Y Lee; Hilda E Stambuk; Yousef Mazaheri; Joseph O Deasy; Amita Shukla-Dave
Journal:  World J Radiol       Date:  2016-01-28

2.  Dynamic contrast-enhanced MRI, diffusion-weighted MRI and 18F-FDG PET/CT for the prediction of survival in oropharyngeal or hypopharyngeal squamous cell carcinoma treated with chemoradiation.

Authors:  Shu-Hang Ng; Chun-Ta Liao; Chien-Yu Lin; Sheng-Chieh Chan; Yu-Chun Lin; Tzu-Chen Yen; Joseph Tung-Chieh Chang; Sheung-Fat Ko; Kang-Hsing Fan; Hung-Ming Wang; Lan-Yan Yang; Jiun-Jie Wang
Journal:  Eur Radiol       Date:  2016-02-24       Impact factor: 5.315

Review 3.  Potential Role of PET/MRI for Imaging Metastatic Lymph Nodes in Head and Neck Cancer.

Authors:  Sungheon Gene Kim; Kent Friedman; Sohil Patel; Mari Hagiwara
Journal:  AJR Am J Roentgenol       Date:  2016-05-10       Impact factor: 3.959

Review 4.  The promise of dynamic contrast-enhanced imaging in radiation therapy.

Authors:  Yue Cao
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

Review 5.  PET/CT in head and neck cancer: an update.

Authors:  Roland Hustinx; Giovanni Lucignani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03       Impact factor: 9.236

6.  Correlation of a priori DCE-MRI and (1)H-MRS data with molecular markers in neck nodal metastases: Initial analysis.

Authors:  Jacobus F A Jansen; Diane L Carlson; Yonggang Lu; Hilda E Stambuk; Andre L Moreira; Bhuvanesh Singh; Snehal G Patel; Dennis H Kraus; Richard J Wong; Ashok R Shaha; Jatin P Shah; Amita Shukla-Dave
Journal:  Oral Oncol       Date:  2012-02-25       Impact factor: 5.337

7.  Optical imaging of tumor microenvironment.

Authors:  Yihan Wu; Wenjie Zhang; Jinbo Li; Yan Zhang
Journal:  Am J Nucl Med Mol Imaging       Date:  2013-01-05

Review 8.  Non-invasive imaging of angiogenesis in head and neck squamous cell carcinoma.

Authors:  Jacobus F A Jansen; Jason A Koutcher; Amita Shukla-Dave
Journal:  Angiogenesis       Date:  2010-04-11       Impact factor: 9.596

9.  Prediction of disease-free survival in patients with squamous cell carcinomas of the head and neck using dynamic contrast-enhanced MR imaging.

Authors:  S Chawla; S Kim; L A Loevner; W-T Hwang; G Weinstein; A Chalian; H Quon; H Poptani
Journal:  AJNR Am J Neuroradiol       Date:  2011-02-24       Impact factor: 3.825

10.  Pretreatment diffusion-weighted and dynamic contrast-enhanced MRI for prediction of local treatment response in squamous cell carcinomas of the head and neck.

Authors:  Sanjeev Chawla; Sungheon Kim; Lawrence Dougherty; Sumei Wang; Laurie A Loevner; Harry Quon; Harish Poptani
Journal:  AJR Am J Roentgenol       Date:  2013-01       Impact factor: 3.959

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