Literature DB >> 18785024

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

A Srinivasan1, R Dvorak, S Rohrer, S K Mukherji.   

Abstract

BACKGROUND: With the increased clinical use of 3-Tesla (3T) magnets, it becomes important to identify the potential applications of advanced magnetic resonance (MR) imaging techniques such as diffusion-weighted imaging in head and neck pathologies.
PURPOSE: To establish the 3T apparent diffusion coefficient (ADC) values for normal neck structures, and to examine the utility of ADC values in distinguishing head and neck squamous cell carcinomas (HNSCC) from normal neck anatomy.
MATERIAL AND METHODS: 3T diffusion-weighted imaging was performed on 10 normal volunteers and 10 patients with known HNSCC. In the volunteers, mean ADC was calculated in the parotid gland, submandibular gland, base of the tongue, pterygoid muscle, masseter muscle, paraspinal muscles, true vocal cord, thyroid gland, thyroid cartilage, cricoid cartilage, and lymph nodes. The mean tumor ADC value was calculated from the 10 patients with HNSCC and compared with the normal ADC values from various neck structures.
RESULTS: The mean ADC value measured in the HNSCC was 1.101 (+/-0.214) x 10(-3) mm(2)/s. This was significantly lower than ADC values of paraspinal muscles, pterygoid muscle, masseter muscle, thyroid gland, and base of the tongue (P=0.0006, 0.0002, 0.0001, 0.001, and 0.002, respectively). The tumor ADC values were not significantly different from ADC values of parotid and submandibular glands (P=0.057 and 0.14, respectively).
CONCLUSION: 3T ADC values show potential for distinguishing HNSCC from normal extracranial head and neck structures.

Entities:  

Mesh:

Year:  2008        PMID: 18785024     DOI: 10.1080/02841850802406196

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  12 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

2.  Diffusion MR imaging features of skull base osteomyelitis compared with skull base malignancy.

Authors:  B Ozgen; K K Oguz; A Cila
Journal:  AJNR Am J Neuroradiol       Date:  2010-10-14       Impact factor: 3.825

3.  Differentiation between benign and malignant orbital tumors at 3-T diffusion MR-imaging.

Authors:  Ahmed Abdel Khalek Abdel Razek; Sahar Elkhamary; Amani Mousa
Journal:  Neuroradiology       Date:  2011-02-01       Impact factor: 2.804

4.  High-resolution diffusion-weighted imaging of neck lymph nodes using 2D-single-shot interleaved multiple inner volume imaging diffusion-weighted echo-planar imaging at 3T.

Authors:  J K Park; S-E Kim; G S Trieman; D Parker; E-K Jeong
Journal:  AJNR Am J Neuroradiol       Date:  2011-06-09       Impact factor: 3.825

5.  Role of diffusion-weighted MR imaging in assessing malignant versus benign skull-base lesions.

Authors:  A Abdel Razek; A Mossad; M Ghonim
Journal:  Radiol Med       Date:  2010-09-17       Impact factor: 3.469

6.  Functional imaging in head and neck squamous cell carcinoma: correlation of PET/CT and diffusion-weighted imaging at 3 Tesla.

Authors:  Julia Fruehwald-Pallamar; Christian Czerny; Marius E Mayerhoefer; Benjamin S Halpern; Christina Eder-Czembirek; Markus Brunner; Matthias Schuetz; Michael Weber; Laura Fruehwald; Andreas M Herneth
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-04-05       Impact factor: 9.236

7.  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.

Authors:  Craig J Galbán; 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
Journal:  Transl Oncol       Date:  2009-08-18       Impact factor: 4.243

Review 8.  Diffusion-weighted imaging in head and neck cancers.

Authors:  Sanjeev Chawla; Sungheon Kim; Sumei Wang; Harish Poptani
Journal:  Future Oncol       Date:  2009-09       Impact factor: 3.404

9.  Non-gaussian analysis of diffusion-weighted MR imaging in head and neck squamous cell carcinoma: A feasibility study.

Authors:  J F A Jansen; H E Stambuk; J A Koutcher; A Shukla-Dave
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-24       Impact factor: 3.825

10.  Functional imaging of head and neck squamous cell carcinoma with diffusion-weighted MRI and FDG PET/CT: quantitative analysis of ADC and SUV.

Authors:  Arthur Varoquaux; Olivier Rager; Karl-Olof Lovblad; Karen Masterson; Pavel Dulguerov; Osman Ratib; Christoph D Becker; Minerva Becker
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-02-22       Impact factor: 9.236

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