Literature DB >> 25910284

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

İsmail Şerifoğlu1, İbrahim İlker Oz, Murat Damar, Özlem Tokgöz, Ömer Yazgan, Zuhal Erdem.   

Abstract

PURPOSE: We aimed to evaluate the role of apparent diffusion coefficient (ADC) values calculated from diffusion-weighted imaging for head and neck lesion characterization in daily routine, in comparison with histopathological results.
METHODS: Ninety consecutive patients who underwent magnetic resonance imaging (MRI) at a university hospital for diagnosis of neck lesions were included in this prospective study. Diffusion-weighted echo-planar MRI was performed on a 1.5 T unit with b factor of 0 and 1000 s/mm2 and ADC maps were generated. ADC values were measured for benign and malignant whole lesions seen in daily practice.
RESULTS: The median ADC value of the malignant tumors and benign lesions were 0.72×10-3 mm2/s, (range, 0.39-1.51×10-3 mm2/s) and 1.17×10-3 mm2/s, (range, 0.52-2.38×10-3 mm2/s), respectively, with a significant difference between them (P < 0.001). A cutoff ADC value of 0.98×10-3 mm2/s was used to distinguish between benign and malignant lesions, yielding 85.3% sensitivity and 78.6% specificity. The median ADC value of lymphomas (0.44×10-3 mm2/s; range, 0.39-0.58×10-3 mm2/s) was significantly smaller (P < 0.001) than that of squamous cell carcinomas (median ADC value 0.72×10-3 mm2/s; range, 0.65-1.06×10-3 mm2/s). There was no significant difference between median ADC values of inflammatory (1.13×10-3 mm2/s; range, 0.85-2.38×10-3 mm2/s) and noninflammatory benign lesions (1.26×10-3 mm2/s; range, 0.52-2.33×10-3 mm2/s).
CONCLUSION: Diffusion-weighted imaging and the ADC values can be used to differentiate and characterize benign and malignant head and neck lesions.

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Year:  2015        PMID: 25910284      PMCID: PMC4463266          DOI: 10.5152/dir.2014.14279

Source DB:  PubMed          Journal:  Diagn Interv Radiol        ISSN: 1305-3825            Impact factor:   2.630


  20 in total

1.  Utility of diffusion-weighted images using fast asymmetric spin-echo sequences for detection of abscess formation in the head and neck region.

Authors:  Shinji Kito; Yasuhiro Morimoto; Tatsurou Tanaka; Kazuhiro Tominaga; Manabu Habu; Hideo Kurokawa; Yoshihiro Yamashita; Shinobu Matsumoto; Yuji Shinohara; Sachiko Okabe; Yuka Matsufuji; Tetsu Takahashi; Jin-ichi Fukuda; Takeshi Ohba
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  2005-12-27

Review 2.  Squamous cell carcinoma of the head and neck-The role of diffusion and perfusion imaging in tumor recurrence and follow-up.

Authors:  Agnieszka Trojanowska
Journal:  Rep Pract Oncol Radiother       Date:  2011-07-19

Review 3.  Diffusion-weighted imaging in head and neck squamous cell carcinomas: a systematic review.

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

4.  Head and neck lesions: characterization with diffusion-weighted echo-planar MR imaging.

Authors:  J Wang; S Takashima; F Takayama; S Kawakami; A Saito; T Matsushita; M Momose; T Ishiyama
Journal:  Radiology       Date:  2001-09       Impact factor: 11.105

Review 5.  Applications of DWI in clinical neurology.

Authors:  P W Schaefer
Journal:  J Neurol Sci       Date:  2001-05-01       Impact factor: 3.181

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.  Brain abscess and necrotic or cystic brain tumor: discrimination with signal intensity on diffusion-weighted MR imaging.

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

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Journal:  Eur Radiol       Date:  2008-08-15       Impact factor: 5.315

9.  Discrimination of metastatic cervical lymph nodes with diffusion-weighted MR imaging in patients with head and neck cancer.

Authors:  Misa Sumi; Noriyuki Sakihama; Tadateru Sumi; Minoru Morikawa; Masataka Uetani; Hiroyuki Kabasawa; Koichiro Shigeno; Kuniaki Hayashi; Haruo Takahashi; Takashi Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  2003-09       Impact factor: 3.825

10.  Parotid gland tumors: can addition of diffusion-weighted MR imaging to dynamic contrast-enhanced MR imaging improve diagnostic accuracy in characterization?

Authors:  Hidetake Yabuuchi; Yoshio Matsuo; Takeshi Kamitani; Taro Setoguchi; Takashi Okafuji; Hiroyasu Soeda; Shuji Sakai; Masamitsu Hatakenaka; Torahiko Nakashima; Yoshinao Oda; Hiroshi Honda
Journal:  Radiology       Date:  2008-10-21       Impact factor: 11.105

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  11 in total

Review 1.  Benign neck masses showing restricted diffusion: Is there a histological basis for discordant behavior?

Authors:  Abanti Das; Ashu S Bhalla; Raju Sharma; Atin Kumar; Meher Sharma; Shivanand Gamanagatti; Alok Thakar; Suresh Sharma
Journal:  World J Radiol       Date:  2016-02-28

2.  Quantitative characterization of extraocular orbital lesions in children using diffusion-weighted imaging.

Authors:  Francisco R Maldonado; Juan P Princich; Lucia Micheletti; María S Toronchik; José I Erripa; Carlos Rugilo
Journal:  Pediatr Radiol       Date:  2020-09-08

3.  External auditory canal and middle ear tumors: characterization by morphology and diffusion features on CT and MRI.

Authors:  Peng Wang; Heng Zhang; Jing Zhao; Hongyan Qiao; Yuxi Ge; Qingjun You; Shudong Hu
Journal:  Eur Arch Otorhinolaryngol       Date:  2022-07-17       Impact factor: 3.236

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

Authors:  Takaaki Oda; Mikiko Sue; Yoshihiko Sasaki; Ichiro Ogura
Journal:  Oral Radiol       Date:  2017-09-04       Impact factor: 1.852

5.  Palatal lesions: discriminative value of conventional MRI and diffusion weighted imaging.

Authors:  Ying Yuan; Weiqing Tang; Mengda Jiang; Xiaofeng Tao
Journal:  Br J Radiol       Date:  2016-01-14       Impact factor: 3.039

6.  Characterization of pediatric head and neck masses with quantitative analysis of diffusion-weighted imaging and measurement of apparent diffusion coefficients.

Authors:  Ali Baiomy; Ayman Nada; Ahmed Gabr; Ayda Youssef; Esmat Mahmoud; Iman Zaky
Journal:  Indian J Radiol Imaging       Date:  2021-01-13

Review 7.  Diffusion weighted imaging: Technique and applications.

Authors:  Vinit Baliyan; Chandan J Das; Raju Sharma; Arun Kumar Gupta
Journal:  World J Radiol       Date:  2016-09-28

8.  Diffusion-Weighted Imaging in the Oral and Maxillofacial Region: Usefulness of Apparent Diffusion Coefficient Maps and Maximum Intensity Projection for Characterization of Normal Structures and Lesions.

Authors:  Ichiro Ogura; Yoshihiko Sasaki; Ayako Kameta; Mikiko Sue; Takaaki Oda
Journal:  Pol J Radiol       Date:  2017-10-20

9.  Multi-b value diffusion-weighted magnetic resonance imaging and intravoxel incoherent motion modeling: Differentiation of aggressive lymphoma lesions on initial treatment and activity assessment after chemotherapy.

Authors:  Cheng-Cheng Liao; Yun-Ying Qin; Qi Tang; Xiao-Hong Tan; Qing Ke; Yan Rong; Jian-Hong Zhong; Le-Qun Li; Hong Cen
Journal:  Medicine (Baltimore)       Date:  2019-02       Impact factor: 1.817

10.  Utility of Readout-Segmented Echo-Planar Imaging-Based Diffusion Kurtosis Imaging for Differentiating Malignant from Benign Masses in Head and Neck Region.

Authors:  Gao Ma; Xiao-Quan Xu; Hao Hu; Guo-Yi Su; Jie Shen; Hai-Bin Shi; Fei-Yun Wu
Journal:  Korean J Radiol       Date:  2018-04-06       Impact factor: 3.500

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