Constitutive Cytomorphologic Features of Medullary Thyroid Carcinoma Using Different Staining Methods.

cytology fine-needle aspiration medullary thyroid carcinoma sensitivity specificity thyroid

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
02 Aug 2021
Historique:
received: 07 07 2021
revised: 28 07 2021
accepted: 29 07 2021
entrez: 27 8 2021
pubmed: 28 8 2021
medline: 28 8 2021
Statut: epublish

Résumé

(1) Background: Accurate preoperative identification of medullary thyroid carcinoma (MTC) is challenging due to a spectrum of cytomorphologic features. However, there is a scarcity of studies describing the cytomorphologic features as seen on fine-needle aspiration (FNA) smears prepared using different staining methods. (2) Methods: We performed a retrospective study on MTC cases with available FNA slides from 13 hospitals distributed across 8 Asia-Pacific countries. The differences in the constitutive cytomorphologic features of MTC with each cytopreparatory method were recorded. A comparative analysis of cytologic characteristics was carried out with appropriate statistical tests. (3) Results: Of a total of 167 MTC samples retrospectively recruited, 148 (88.6%) were interpreted as MTC/suspicious for MTC (S-MTC). The staining methods used were Papanicolaou, hematoxylin-eosin, and Romanowsky stains. Seven out of the eleven cytologic criteria can be readily recognized by all three cytopreparatory methods: high cellularity, cellular pleomorphism, plasmacytoid cells, round cells, dyshesive cells, salt-and-pepper chromatin, and binucleation or multinucleation. An accurate diagnosis was achieved in 125 (84.5%) of the 148 samples whose FNAs exhibited five or more atypical features. Conclusions: The present work is the first study on MTC to compare the morphological differences among the cytologic staining techniques. We investigated the constitutive features and the reliability of diagnostic parameters. A feasible scoring system based upon cytomorphologic data alone is proposed to achieve a high degree of diagnostic accuracy.

Identifiants

pubmed: 34441330
pii: diagnostics11081396
doi: 10.3390/diagnostics11081396
pmc: PMC8392035
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Research Foundation of Korea
ID : NRF-2020R1F1A1070028

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Auteurs

Chih-Yi Liu (CY)

Division of Pathology, Sijhih Cathay General Hospital, New Taipei City 221, Taiwan.
School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City 221, Taiwan.

Chien-Chin Chen (CC)

Department of Pathology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi 600, Taiwan.
Department of Cosmetic Science, Chia Nan University of Pharmacy and Science, Tainan 717, Taiwan.

Andrey Bychkov (A)

Department of Pathology, Kameda Medical Center, Kamogawa, Chiba 296-8602, Japan.
Department of Pathology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8523, Japan.

Shipra Agarwal (S)

Department of Pathology, All India Institute of Medical Sciences, New Delhi 110029, India.

Yun Zhu (Y)

Department of Pathology, Jiangsu Institution of Nuclear Medicine, Wuxi 214063, China.

Jen-Fan Hang (JF)

Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan.

Chiung-Ru Lai (CR)

Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan.
School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.

Hee Young Na (HY)

Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam 13620, Korea.

So Yeon Park (SY)

Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam 13620, Korea.

Weiwei Li (W)

Department of Pathology, Shandong University School of Basic Medical Sciences, Jinan 250012, China.

Zhiyan Liu (Z)

Department of Pathology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.

Deepali Jain (D)

Department of Pathology, All India Institute of Medical Sciences, New Delhi 110029, India.

Ayana Suzuki (A)

Department of Diagnostic Pathology and Cytology, Kuma Hospital, Kobe 650-0011, Japan.

Mitsuyoshi Hirokawa (M)

Department of Diagnostic Pathology and Cytology, Kuma Hospital, Kobe 650-0011, Japan.

Noel Chia (N)

Department of Pathology, National University Hospital, Singapore 119074, Singapore.

Min En Nga (ME)

Department of Pathology, National University Hospital, Singapore 119074, Singapore.

Tikamporn Jitpasutham (T)

Department of Pathology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.

Somboon Keelawat (S)

Department of Pathology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.

Shinya Satoh (S)

Department of Endocrine Surgery, Yamashita Thyroid and Parathyroid Clinic, Fukuoka 812-0034, Japan.

Dilini Gunawardena (D)

School of Pathology & Laboratory Medicine, University of Western Australia, Perth, WA 6009, Australia.

Priyanthi Kumarasinghe (P)

School of Pathology & Laboratory Medicine, University of Western Australia, Perth, WA 6009, Australia.

Chan Kwon Jung (CK)

Department of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.

Kennichi Kakudo (K)

Department of Pathology and Thyroid Disease Center, Izumi City General Hospital, Izumi, Osaka 594-0073, Japan.

Classifications MeSH