Literature DB >> 8216046

Can Rouvière's lymph nodes in non-malignant subjects be identified with MRI?

K Ichimura1.   

Abstract

The lateral retropharyngeal lymph nodes lie between the carotid artery and prevertebral muscles. These are most obvious anterior to the arch of C1, but can be seen to the level of the soft palate. The uppermost-positioning nodes anterior to the atlas are called as the nodes of Rouvière. Introduction of CT and MR has provided us the chance to detect them. In order to find out the frequency of identifying them in normal subjects, I examined axial MR images which had been taken for the last 3 years. A total of 90 patients (86 adults and 4 children) with a variety of diseases except for malignancies were selected. All 4 children showed Rouvière's nodes bilaterally, while only 5 of 86 adults (5.8%) depicted them. The lymph nodes were identified as isointense masses as nasopharyngeal lymphoid tissues (adenoids), when presented, with the size ranged from 4 to 13 mm. The nodes with a diameter of 5 mm or more were easily identified particularly with T2-weighted images. The benign reactive adenopathy appeared indistinguishable from that demonstrated in patients with malignant tumors in the head and neck.

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Year:  1993        PMID: 8216046     DOI: 10.1016/s0385-8146(12)80238-0

Source DB:  PubMed          Journal:  Auris Nasus Larynx        ISSN: 0385-8146            Impact factor:   1.863


  3 in total

1.  Nasopharyngeal carcinoma: recognizing the radiographic features in children.

Authors:  Hilda E Stambuk; Snehal G Patel; Kristine M Mosier; Suzanne L Wolden; Andrei I Holodny
Journal:  AJNR Am J Neuroradiol       Date:  2005 Jun-Jul       Impact factor: 3.825

2.  Validation of bidimensional measurement in nasopharyngeal carcinoma.

Authors:  Ting-Shou Chang; Sau-Tung Chu; Yu-Yi Hou; Kuo-Ping Chang; Chao-Chuan Chi; Ching-Chih Lee
Journal:  Radiat Oncol       Date:  2010-08-16       Impact factor: 3.481

3.  Incidence of abnormal retropharyngeal lymph nodes in sinonasal malignancies among adults.

Authors:  Asari Sai; Taro Shimono; Akira Yamamoto; Toru Takeshita; Masahiko Ohsawa; Kenichi Wakasa; Yukio Miki
Journal:  Neuroradiology       Date:  2014-09-17       Impact factor: 2.804

  3 in total

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