Computed tomography findings for diagnosing follicular thyroid neoplasms

Takuma Makino, Yorihisa Orita, Tomoyasu Tachibana, Hidenori Marunaka, Kentaro Miki, Naoki Akisada, Yusuke Akagi, Yoshiyuki Usui, Yasuharu Sato, Tadashi Yoshino, Kazunori Nishizaki

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)577-581
Number of pages5
JournalActa medica Okayama
Issue number6
Publication statusPublished - 2018


  • Computed tomography
  • Follicular thyroid adenoma
  • Follicular thyroid carcinoma
  • Preoperative diagnosis

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)


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