18F-FDG PET/CT to differentiate malignant necrotic lymph node from benign cystic lesions in the neck View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-02

AUTHORS

Peymaneh Abadi, Allan Johansen, Christian Godballe, Oke Gerke, Poul Flemming Høilund-Carlsen, Anders Thomassen

ABSTRACT

OBJECTIVE: Patients presenting with cystic lesions in the neck without obvious signs of malignancy constitute a diagnostic challenge since fine needle aspiration is often insufficient and a diagnosis may not be reached until surgical resection/biopsy is performed. The differential diagnosis of a cystic cervical mass comprises a variety of benign conditions, but malignancy must be ruled out. We examined the diagnostic performance of fluorine-18 fluorodeoxyglucose (18F-FDG) PET/CT to identify malignancy. METHODS: We retrospectively included consecutive patients referred from the Department of ENT Head and Neck Surgery for 18F-FDG PET/CT-scans because of a solitary neck cyst. Scan results were compared to histopathology and follow-up. RESULTS: The study comprised 58 patients. Twenty patients (34%) were diagnosed with cancer during follow-up. PET/CT suggested malignancy in 34 patients (19 true positive, 15 false positive) and showed no malignancy in 24 (23 true negative, 1 false negative). The sensitivity, specificity, accuracy, positive and negative predictive values were 95% (76-99%), 61% (45-74%), 72% (60-82%), 56% (39-71%), and 96% (80-99%), respectively (95% confidence intervals in brackets). The primary tumor was identified in 14 out of the 20 patients with confirmed cancer. Increased metabolism, as evaluated by PET, was the only imaging characteristic among several others, which associated independently with malignancy in the cystic neck lesions, odds ratio 1.27 (1.07-1.50), p = 0.006. CONCLUSION: 18F-FDG PET/CT could reliably rule out malignancy (NPV 96%), albeit with a high frequency of false positive scans, requiring further diagnostic work-up. Increased metabolism was the best imaging parameter to differentiate between malignant and benign lesions. More... »

PAGES

101-108

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12149-016-1142-3

DOI

http://dx.doi.org/10.1007/s12149-016-1142-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045922867

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27921286


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12149-016-1142-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12149-016-1142-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12149-016-1142-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12149-016-1142-3'


 

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