Literature DB >> 30484031

Diffusion-weighted magnetic resonance imaging in oral and maxillofacial lesions: preliminary study on diagnostic ability of apparent diffusion coefficient maps.

Takaaki Oda1, Mikiko Sue2, Yoshihiko Sasaki2, Ichiro Ogura2.   

Abstract

OBJECTIVES: The aim of this study was to investigate the usefulness of diffusion-weighted magnetic resonance imaging (DWI) in oral and maxillofacial lesions, especially the utility of apparent diffusion coefficient (ADC) maps for differential diagnosis of these lesions.
METHODS: Fifty-seven patients who underwent magnetic resonance imaging for diagnosis of oral and maxillofacial lesions were included in this prospective study. DWI was performed on a 1.5 T unit with b-factors of 0 and 800 s/mm2, and ADC maps were generated. ADC values were measured for all 57 oral and maxillofacial lesions (19 squamous cell carcinoma, 10 medication-related osteonecrosis of the jaw, 6 odontogenic abscess, 4 ranula, 4 osteoradionecrosis, 4 hemangioma, 3 pleomorphic adenoma, 3 odontogenic keratocyst, 2 nasopalatine duct cyst, 1 malignant melanoma, and 1 basal cell carcinoma).
RESULTS: The mean ADC values for ranula (2.69 ± 0.59 × 10-3 mm2/s) and nasopalatine duct cyst (2.34 ± 0.12 × 10-3 mm2/s) were significantly higher than those for the other oral and maxillofacial lesions (p = 0.000). In contrast, the mean ADC value for odontogenic abscess (0.67 ± 0.36 × 10-3 mm2/s) was significantly lower than those for the other oral and maxillofacial lesions (p = 0.000).
CONCLUSIONS: The present study suggests the usefulness of DWI in oral and maxillofacial lesions, especially the utility of ADC maps for differential diagnosis of these lesions.

Entities:  

Keywords:  Diffusion magnetic resonance imaging; Head and neck neoplasms; Squamous cell carcinoma

Mesh:

Year:  2017        PMID: 30484031     DOI: 10.1007/s11282-017-0303-y

Source DB:  PubMed          Journal:  Oral Radiol        ISSN: 0911-6028            Impact factor:   1.852


  12 in total

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Authors:  Juliette P Driessen; Paulina M W van Kempen; Geert J van der Heijden; Marielle E P Philippens; Frank A Pameijer; Inge Stegeman; Chris H J Terhaard; Luuk M Janssen; Wilko Grolman
Journal:  Head Neck       Date:  2014-02-12       Impact factor: 3.147

2.  Diffusion-weighted imaging in the head and neck region: usefulness of apparent diffusion coefficient values for characterization of lesions.

Authors:  İsmail Şerifoğlu; İbrahim İlker Oz; Murat Damar; Özlem Tokgöz; Ömer Yazgan; Zuhal Erdem
Journal:  Diagn Interv Radiol       Date:  2015 May-Jun       Impact factor: 2.630

3.  Diffusion-weighted MR imaging in normal human brains in various age groups.

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Journal:  AJNR Am J Neuroradiol       Date:  2002-02       Impact factor: 3.825

4.  Differentiation of benign and malignant lesions of the tongue by using diffusion-weighted MRI at 3.0 T.

Authors:  S Li; J Cheng; Y Zhang; Z Zhang
Journal:  Dentomaxillofac Radiol       Date:  2015-03-31       Impact factor: 2.419

5.  Comparison of various methods for quantification of apparent diffusion coefficient of head and neck lesions with HASTE diffusion-weighted MR imaging.

Authors:  Junichiro Sakamoto; Yoshinori Sasaki; Mika Otonari-Yamamoto; Tsukasa Sano
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol       Date:  2012-08

6.  Usefulness of the apparent diffusion coefficient in line scan diffusion-weighted imaging for distinguishing between squamous cell carcinomas and malignant lymphomas of the head and neck.

Authors:  Masayuki Maeda; Hiroya Kato; Hajime Sakuma; Stephan E Maier; Kan Takeda
Journal:  AJNR Am J Neuroradiol       Date:  2005-05       Impact factor: 3.825

7.  Characterization of pediatric head and neck masses with diffusion-weighted MR imaging.

Authors:  Ahmed Abdel Khalek Abdel Razek; Gada Gaballa; Galal Elhawarey; Abdel Salam Megahed; Mona Hafez; Nadia Nada
Journal:  Eur Radiol       Date:  2008-08-15       Impact factor: 5.315

8.  Differentiation of benign and malignant pathology in the head and neck using 3T apparent diffusion coefficient values: early experience.

Authors:  A Srinivasan; R Dvorak; K Perni; S Rohrer; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2007-10-05       Impact factor: 3.825

9.  Tissue characterization of head and neck lesions using diffusion-weighted MR imaging with SPLICE.

Authors:  Junichiro Sakamoto; Norio Yoshino; Kiyoshi Okochi; Akiko Imaizumi; Akemi Tetsumura; Kazuto Kurohara; Tohru Kurabayashi
Journal:  Eur J Radiol       Date:  2007-11-26       Impact factor: 3.528

10.  Diffusion weighted MRI in head-and-neck cancer: geometrical accuracy.

Authors:  Tim Schakel; Johannes M Hoogduin; Chris H J Terhaard; Marielle E P Philippens
Journal:  Radiother Oncol       Date:  2013-10-31       Impact factor: 6.280

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-11       Impact factor: 9.236

2.  Magnetic resonance imaging texture analysis in the quantitative evaluation of acute osteomyelitis of the mandibular bone.

Authors:  Hirotaka Muraoka; Kotaro Ito; Naohisa Hirahara; Shungo Ichiki; Takumi Kondo; Takashi Kaneda
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3.  Tc-99m hydroxymethylene diphosphonate scintigraphy, computed tomography, and magnetic resonance imaging of osteonecrosis in the mandible: Osteoradionecrosis versus medication-related osteonecrosis of the jaw.

Authors:  Ichiro Ogura; Yoshihiko Sasaki; Mikiko Sue; Takaaki Oda; Ayako Kameta; Kazuhide Hayama
Journal:  Imaging Sci Dent       Date:  2019-03-25
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