Accuracy of MRI for the diagnosis of metastatic cervical lymphadenopathy in patients with thyroid cancer.

Détails

ID Serval
serval:BIB_8179E0CAFC30
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Accuracy of MRI for the diagnosis of metastatic cervical lymphadenopathy in patients with thyroid cancer.
Périodique
La Radiologia Medica
Auteur⸱e⸱s
Chen Q., Raghavan P., Mukherjee S., Jameson M.J., Patrie J., Xin W., Xian J., Wang Z., Levine P.A., Wintermark M.
ISSN
1826-6983 (Electronic)
ISSN-L
0033-8362
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
120
Numéro
10
Pages
959-966
Langue
anglais
Notes
Publication types: Journal ArticlePublication Status: ppublish
Résumé
PURPOSE: The aim of this study was to systematically compare a comprehensive array of magnetic resonance (MR) imaging features in terms of their sensitivity and specificity to diagnose cervical lymph node metastases in patients with thyroid cancer.
MATERIALS AND METHODS: The study included 41 patients with thyroid malignancy who underwent surgical excision of cervical lymph nodes and had preoperative MR imaging ≤4weeks prior to surgery. Three head and neck neuroradiologists independently evaluated all the MR images. Using the pathology results as reference, the sensitivity, specificity and interobserver agreement of each MR imaging characteristic were calculated.
RESULTS: On multivariate analysis, no single imaging feature was significantly correlated with metastasis. In general, imaging features demonstrated high specificity, but poor sensitivity and moderate interobserver agreement at best.
CONCLUSIONS: Commonly used MR imaging features have limited sensitivity at correctly identifying cervical lymph node metastases in patients with thyroid cancer. A negative neck MR scan should not dissuade a surgeon from performing a neck dissection in patients with thyroid carcinomas.
Pubmed
Web of science
Création de la notice
13/10/2015 18:51
Dernière modification de la notice
20/08/2019 15:41
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