Subclassification of follicular neoplasms recommended by the Japan thyroid association reporting system of thyroid cytology

Kennichi Kakudo, Kaori Kameyama, Mitsuyoshi Hirokawa, Ryohei Katoh, Hirotoshi Nakamura

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Background. The Japan Thyroid Association recently published guidelines for clinical practice for the management of thyroid nodules, which include a diagnostic system for reporting thyroid fine needle aspiration cytology. It is characterized by the subclassification of follicular neoplasms, which is different from other internationally accepted reporting systems. Materials and Methods. This study examined observer variability in the subclassification of follicular neoplasms among 4 reviewers using Papanicolaou-stained smear samples from 20 surgically treated patients with indeterminate cytology. Results. The favor malignant subcategory had high predictive value of malignancy (risk of malignancy: 60-75%) and good agreement among the 4 reviewers (κ = 0.7714). Conclusion. These results clearly confirmed that the risk stratification of follicular neoplasms, which was adapted from cytology practice of high-volume thyroid centers in Japan, can provide clinically helpful information to estimate the risk of malignancy and to triage patients for surgery.

Original languageEnglish
Article number938305
JournalInternational Journal of Endocrinology
Volume2015
DOIs
Publication statusPublished - 2015

Fingerprint

Cell Biology
Japan
Thyroid Gland
Neoplasms
Papanicolaou Test
Thyroid Nodule
Triage
Practice Management
Fine Needle Biopsy
Guidelines

ASJC Scopus subject areas

  • Endocrine and Autonomic Systems
  • Endocrinology
  • Endocrinology, Diabetes and Metabolism

Cite this

Subclassification of follicular neoplasms recommended by the Japan thyroid association reporting system of thyroid cytology. / Kakudo, Kennichi; Kameyama, Kaori; Hirokawa, Mitsuyoshi; Katoh, Ryohei; Nakamura, Hirotoshi.

In: International Journal of Endocrinology, Vol. 2015, 938305, 2015.

Research output: Contribution to journalArticle

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AU - Nakamura, Hirotoshi

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