PET/CT and prediction of thyroid cancer in patients with follicular neoplasm or atypia View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-08

AUTHORS

Thao T. Nguyen, Natascha G. E. Lange, Anne L. Nielsen, Anders Thomassen, Helle Døssing, Christian Godballe, Max Rohde

ABSTRACT

PURPOSE: To examine whether addition of 18F-fluoro-deoxy-glucose positron emission tomography/computed tomography (FDG-PET/CT) to fine needle aspiration biopsy (FNAB) would improve prediction of thyroid cancer in patients with FNAB-derived follicular neoplasm or atypia, classified according to focal, multifocal, diffuse, or no FDG uptake. MATERIALS AND METHODS: Consecutive patients with FNAB-derived follicular neoplasm or atypia planned for surgery from September 2013 to March 2016 were prospectively included and considered for analysis. All patients underwent preoperative PET/CT and a clinical head and neck examination, including ultrasound of the neck and the thyroid gland. Patients with obvious signs of thyroid malignancy were excluded from the study. Histology of the surgical specimen was used as reference standard for statistical analysis. RESULTS: Of the 108 patients included (85 women, median age 53.4 years), 31 (29%) had a thyroid nodule that was histologically verified as malignant. Sensitivity and specificity for PET/CT in detection of thyroid cancer was 79 and 32%, respectively, including a derived positive predictive value (PPV) of 31%, and a negative predictive value (NPV) of 79%. Univariate and multivariate analyses showed no significant increase in the risk of thyroid cancer among patients with focal or multifocal FDG uptake compared to patients with no FDG uptake. CONCLUSION: Addition of PET/CT to FNAB did not improve prediction of thyroid cancer in patients with FNAB-derived follicular neoplasm or atypia. More... »

PAGES

2109-2117

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00405-018-5030-4

DOI

http://dx.doi.org/10.1007/s00405-018-5030-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104647351

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29909471


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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00405-018-5030-4'

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/s00405-018-5030-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00405-018-5030-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00405-018-5030-4'


 

This table displays all metadata directly associated to this object as RDF triples.

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