Small Cell Neuroendocrine Carcinoma of Paranasal Sinuses: Radiologic Features in 14 Cases.
Adult
Aged
Aged, 80 and over
Carcinoma, Neuroendocrine
/ diagnostic imaging
Carcinoma, Small Cell
/ diagnostic imaging
Ethmoid Sinus
/ diagnostic imaging
Female
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Paranasal Sinus Neoplasms
/ diagnostic imaging
Preoperative Period
Retrospective Studies
Sensitivity and Specificity
Sphenoid Sinus
/ diagnostic imaging
Tomography, X-Ray Computed
Journal
Journal of computer assisted tomography
ISSN: 1532-3145
Titre abrégé: J Comput Assist Tomogr
Pays: United States
ID NLM: 7703942
Informations de publication
Date de publication:
Historique:
pubmed:
11
7
2020
medline:
29
1
2021
entrez:
11
7
2020
Statut:
ppublish
Résumé
The purpose of this study was to explore the characteristic computed tomography (CT) and magnetic resonance (MR) features of small cell neuroendocrine carcinoma (SNEC) of paranasal sinuses. Computed tomography (n = 8) and MR (n = 14) images and clinical findings from 14 patients with SNEC of paranasal sinuses were retrospectively reviewed. Eight lesions were located in the ethmoidal sinus, 4 in the maxillary sinus, and 2 in the sphenoid sinus. Small cell neuroendocrine carcinoma of the sphenoid sinus showed bilateral asymmetry patterns. On CT images, bony changes were visible in all 8 cases. On MR, 4 cases contained hemorrhage, and 10 cases contained cystic or necrotic areas. All cases demonstrated marked heterogeneous enhancement, with half showing a "cribriform-like" or "geographic" appearance. The nasal cavity was the most common site invaded by SNEC of paranasal sinuses, followed by the orbits. A time-signal intensity curve examination showed a washout-type pattern in all but 1 case. The mean ± SD apparent diffusion coefficient value was 0.702 ± 0.112 (×10-3 mm2/s). According to the Dulguerov staging system, 9 tumors were staged as N0 (1 T1, 1 T2, 5 T3, and 2 T4). The recurrence rate was 64.3%. Some characteristics of radiological findings can provide important clues for preoperative diagnosis.
Identifiants
pubmed: 32649429
pii: 00004728-202101000-00021
doi: 10.1097/RCT.0000000000001065
pmc: PMC7834907
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
135-141Informations de copyright
Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc.
Déclaration de conflit d'intérêts
The authors declare no conflict of interests.
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