Literature DB >> 18325591

Usefulness of diffusion-weighted imaging and the apparent diffusion coefficient in the assessment of head and neck tumors.

Masayuki Maeda1, Stephan E Maier.   

Abstract

The aim of this review was to determine the usefulness of diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) in the assessment of head and neck tumors. DWI and the ADC can help in the differential diagnosis of particular disorders (such as carcinomas vs lymphomas, or necrosis vs abscess) of the head and neck. The ADC can also provide further information to help differentiate benign from malignant tumors, as ADC values are usually lower in cases of malignancy. However, the ADC is itself influenced by various complex factors such as the cellularity and matrix of tumors and there is also some overlap between certain benign and malignant tumors of the salivary glands.

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Year:  2008        PMID: 18325591     DOI: 10.1016/j.neurad.2008.01.080

Source DB:  PubMed          Journal:  J Neuroradiol        ISSN: 0150-9861            Impact factor:   3.447


  16 in total

1.  Multiple scalp epidermoid cysts in a child with Gardner syndrome.

Authors:  Kanupriya Vijay; Arabinda K Choudhary
Journal:  Pediatr Radiol       Date:  2010-09-25

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 imaging for predicting tumor consistency and extent of resection in patients with pituitary adenoma.

Authors:  Wei Ding; Zheng Huang; Gaofeng Zhou; Lang Li; Mingyu Zhang; Zhenyan Li
Journal:  Neurosurg Rev       Date:  2021-01-28       Impact factor: 3.042

4.  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

5.  Utility of the k-means clustering algorithm in differentiating apparent diffusion coefficient values of benign and malignant neck pathologies.

Authors:  A Srinivasan; C J Galbán; T D Johnson; T L Chenevert; B D Ross; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-10       Impact factor: 3.825

6.  Squamous Cell Carcinoma Arising from Sinonasal Inverted Papilloma.

Authors:  D T Ginat; A Trzcinska; P Horowitz
Journal:  AJNR Am J Neuroradiol       Date:  2020-05-28       Impact factor: 3.825

7.  Diffusion-weighted MRI in diagnosing thyroid cartilage invasion in laryngeal carcinoma.

Authors:  Mohamed S Taha; Ossama Hassan; Mohamed Amir; Togan Taha; Magdy Amin Riad
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-10-26       Impact factor: 2.503

8.  Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges.

Authors:  Lisanne V van Dijk; Clifton D Fuller
Journal:  Am Soc Clin Oncol Educ Book       Date:  2021-03

9.  Utility of MRI diffusion techniques in the evaluation of tumors of the head and neck.

Authors:  José Pablo Martínez Barbero; Inmaculada Rodríquez Jiménez; Teodoro Martin Noguerol; Antonio Luna Alcalá
Journal:  Cancers (Basel)       Date:  2013-07-05       Impact factor: 6.639

10.  Non-Gaussian analysis of diffusion weighted imaging in head and neck at 3T: a pilot study in patients with nasopharyngeal carcinoma.

Authors:  Jing Yuan; David Ka Wai Yeung; Greta S P Mok; Kunwar S Bhatia; Yi-Xiang J Wang; Anil T Ahuja; Ann D King
Journal:  PLoS One       Date:  2014-01-23       Impact factor: 3.240

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