Papers

Peer-reviewed Lead author
Dec, 2018

Computed Tomography Findings for Diagnosing Follicular Thyroid Neoplasms.

Acta medica Okayama
  • Makino T
  • Orita Y
  • Tachibana T
  • Marunaka H
  • Miki K
  • Akisada N
  • Akagi Y
  • Usui Y
  • Sato Y
  • Yoshino T
  • Nishizaki K
  • Display all

Volume
72
Number
6
First page
577
Last page
581
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.18926/AMO/56375

Since no diagnostic method has been established to distinguish follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA), surgery has been the only way to reach a diagnosis of follicular neoplasm. Here we investigated the computed tomography (CT) features of follicular neoplasms, toward the goal of being able to identify specific CT features allowing the preoperative differentiation of FTC from FTA. We retrospectively analyzed the cases of 205 patients who underwent preoperative CT of the neck and were histopathologically diagnosed with FTC (n=31) or FTA (n=174) after surgery between January 2002 and June 2016 at several hospitals in Japan. In each of these 205 cases, non-enhanced and contrast-enhanced CT images were obtained, and we analyzed the CT features. On univariate analysis, inhomogeneous features of tumor lesions on contrast-enhanced CT were more frequently observed in FTC than in FTA (p=0.0032). A multivariate analysis identified inhomogeneous features of tumor lesions on contrast-enhanced CT images as an independent variable indicative of FTC (p=0.0023). CT thus offers diagnostic assistance in distinguishing FTC from FTA.

Link information
DOI
https://doi.org/10.18926/AMO/56375
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/30573912
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85058916125&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85058916125&origin=inward
ID information
  • DOI : 10.18926/AMO/56375
  • ISSN : 0386-300X
  • Pubmed ID : 30573912
  • SCOPUS ID : 85058916125

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