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Original Articles
- Cytological Features That Differentiate Follicular Neoplasm from Mimicking Lesions
- Kanghee Han, Hwa-Jeong Ha, Joon Seog Kong, Jung-Soon Kim, Jae Kyung Myung, Jae Soo Koh, Sunhoo Park, Myung-Soon Shin, Woo-Tack Song, Hye Sil Seol, Seung-Sook Lee
- J Pathol Transl Med. 2018;52(2):110-120. Published online January 29, 2018
- DOI: https://doi.org/10.4132/jptm.2018.01.17
- 12,927 View
- 183 Download
- 5 Web of Science
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Abstract
PDF - Background
It is difficult to correctly diagnose follicular neoplasms (FNs) on fine-needle aspiration cytology (FNAC) because it shares many cytological features with other mimicking lesions. The aim of this study was to identify the cytological features that differentiate FNs from mimicking lesions.
Methods
We included the cytological slides from 116 cases of thyroid FN diagnosed on FNAC, and included their subsequent histological diagnoses. We evaluated the cytological architectural pattern and nuclear features of the lesions according to their histological groups.
Results
The final histological diagnoses of the 116 cases varied, and included 51 FNs (44%), 47 papillary thyroid carcinomas (40%) including follicular variant, and seventeen cellular nodular hyperplasias (15%). Regardless of the final histological diagnosis, microfollicular pattern was observed in most cases. On the other hand, trabecular pattern was identified in 34% of FNs, but not in any other lesions. Additionally, elongated nuclei and ground glass chromatin were found in only some papillary thyroid carcinomas.
Conclusions
This study shows that the trabecular pattern is a representative cytological feature of FNs that can be used to distinguish FNs from mimicking lesions. In addition, nuclear shape and chromatin pattern can be used to further confirm the diagnosis of FNs from mimicking lesions through FNAC. -
Citations
Citations to this article as recorded by
- Diagnostic implication of thyroid spherules for cytological diagnosis of thyroid nodules
Heeseung Sohn, Kennichi Kakudo, Chan Kwon Jung
Cytopathology.2024; 35(3): 383. CrossRef - Using Deep Convolutional Neural Networks for Enhanced Ultrasonographic Image Diagnosis of Differentiated Thyroid Cancer
Wai-Kin Chan, Jui-Hung Sun, Miaw-Jene Liou, Yan-Rong Li, Wei-Yu Chou, Feng-Hsuan Liu, Szu-Tah Chen, Syu-Jyun Peng
Biomedicines.2021; 9(12): 1771. CrossRef - The Role of Fine Needle Aspiration Biopsy with Bethesda System in the Evaluation of Thyroid Nodules
Gizem AKKAŞ AKGÜN, Figen ASLAN
Anadolu Kliniği Tıp Bilimleri Dergisi.2021; 26(1): 23. CrossRef - Comprehensive DNA Methylation Profiling Identifies Novel Diagnostic Biomarkers for Thyroid Cancer
Jong-Lyul Park, Sora Jeon, Eun-Hye Seo, Dong Hyuck Bae, Young Mun Jeong, Yourha Kim, Ja Seong Bae, Seon-Kyu Kim, Chan Kwon Jung, Yong Sung Kim
Thyroid.2020; 30(2): 192. CrossRef - Preoperative diagnostic categories of fine needle aspiration cytology for histologically proven thyroid follicular adenoma and carcinoma, and Hurthle cell adenoma and carcinoma: Analysis of cause of under- or misdiagnoses
Hee Young Na, Jae Hoon Moon, June Young Choi, Hyeong Won Yu, Woo-Jin Jeong, Yeo Koon Kim, Ji-Young Choe, So Yeon Park, Paula Soares
PLOS ONE.2020; 15(11): e0241597. CrossRef
- Diagnostic implication of thyroid spherules for cytological diagnosis of thyroid nodules
- Importance of Individual Ghost Cells in Fine-Needle Aspiration Cytology Diagnosis of Pilomatricoma
- Kanghee Han, Hwa-Jeong Ha, Joon Seog Kong, Jae Kyung Myung, Sunhoo Park, Jung-Soon Kim, Myung-Soon Shin, Hye Sil Seol, Jae Soo Koh, Seung-Sook Lee
- J Pathol Transl Med. 2018;52(1):45-50. Published online January 15, 2018
- DOI: https://doi.org/10.4132/jptm.2017.10.18
- 7,398 View
- 142 Download
- 2 Web of Science
- 1 Crossref
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Abstract
PDF
- Background
Although histological diagnosis of pilomatricoma is not difficult because of its unique histological features, cytological diagnosis through fine-needle aspiration cytology (FNAC) is often problematic due to misdiagnoses as malignancy.
Methods
We reviewed the cytological features of 14 cases of histologically-proven pilomatricoma from Korea Cancer Center Hospital, with a discussion on the diagnostic pitfalls of FNAC.
Results
Among 14 cases of pilomatricoma, 10 (71.4%) were correctly diagnosed through FNAC, and two (14.3%) were misdiagnosed as carcinoma. Cytologically, all cases had easily recognizable clusters of basaloid cells and foreign body-type multinucleated cells. Although ghost cells were also found in all cases, some were inconspicuous and hardly recognizable due to their small numbers.
Conclusions
An accurate diagnosis of pilomatricoma in FNAC is feasible with consideration of clinical information and close examination of ghost cells. -
Citations
Citations to this article as recorded by- A case of pilomatricoma with suspected malignancy diagnosed by intraoperative rapid cytological diagnosis
Miho YOSHIDA-TANAKA, Kazuya KURAOKA, Naoko YASUMURA, Arisa KAN, Yumi SAIKI, Akihiro KAGAWA, Akihisa SAITO, Kiyomi TANIYAMA
The Journal of the Japanese Society of Clinical Cytology.2019; 58(3): 133. CrossRef
- A case of pilomatricoma with suspected malignancy diagnosed by intraoperative rapid cytological diagnosis
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