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Makino, Takuma Department of Otolaryngology Head and Neck Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Orita, Yorihisa Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medicine, Kumamoto University
Tachibana, Tomoyasu Department of Otolaryngology, Himeji Red Cross Hospital
Marunaka, Hidenori Department of Otolaryngology Head and Neck Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Miki, Kentaro Department of Otolaryngology Head and Neck Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Akisada, Naoki Department of Otolaryngology, Okayama Red Cross Hospital
Akagi, Yusuke Department of Otolaryngology, Okayama Medical Center
Usui, Yoshiyuki Department of Surgery, Okayama Medical Center
Sato, Yasuharu Department of Pathology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Yoshino, Tadashi Department of Pathology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Nishizaki, Kazunori Department of Otolaryngology Head and Neck Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Abstract
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.
Keywords
computed tomography
follicular thyroid carcinoma
follicular thyroid adenoma
preoperative diagnosis
Amo Type
Original Article
Published Date
2018-12
Publication Title
Acta Medica Okayama
Volume
volume72
Issue
issue6
Publisher
Okayama University Medical School
Start Page
577
End Page
581
ISSN
0386-300X
NCID
AA00508441
Content Type
Journal Article
language
英語
Copyright Holders
CopyrightⒸ 2018 by Okayama University Medical School
File Version
publisher
Refereed
True
PubMed ID
NAID