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Cytologic diagnostic approach to poorly differentiated thyroid carcinoma: a single-institution study
Shubhada V Kane1, Tanvi Paliwal Sharma
1Department of Cytopathology, Tata Memorial Center, Parel, India.
Diagnosing poorly differentiated thyroid carcinoma (PDTC) via fine-needle aspiration cytology (FNAC) requires a high index of suspicion. Identifying distinguishing cytomorphologic features is key for prompt diagnosis and treatment planning.
Area of Science:
- Cytopathology
- Oncology
- Endocrinology
Background:
- Fine-needle aspiration cytology (FNAC) is a standard preoperative tool for thyroid nodules.
- Cytologic diagnostic criteria for poorly differentiated thyroid carcinoma (PDTC) are not standardized, unlike its histological criteria.
- PDTC are rare tumors, and review articles on their cytologic diagnosis are scarce.
Purpose of the Study:
- To investigate the cytomorphological features of PDTC.
- To identify distinguishing features between PDTC, differentiated thyroid carcinoma (DTC), and medullary thyroid carcinoma (MTC).
Main Methods:
- Retrospective analysis of 44 PDTC FNAC smears from a single tertiary cancer institute (2009-2013).
- Evaluation of 21 cytomorphologic features on Papanicolaou and Giemsa stained smears.
- Limited availability of immunocytochemistry (6 cases).
Main Results:
- Common features included hypercellularity (84.1%), insular pattern (79.5%), small cell size (93.2%), high nuclear-cytoplasmic ratio (93.2%), granular chromatin (95.45%), nuclear overlapping (88.64%), and mild pleomorphism (86.36%).
- Less frequent features were grooves/inclusions (22.7%), binucleation (9.1%), abrupt nucleomegaly (34.1%), apoptosis (45%), mitosis (25%), necrosis (34.1%), and colloid (22.7%).
Conclusions:
- A high index of suspicion is crucial for upfront PDTC diagnosis on FNAC.
- While PDTC, DTC, and MTC share overlapping features, distinguishing characteristics exist.
- Standardization of cytologic diagnostic criteria for PDTC through collaborative efforts is needed for prompt diagnosis and multimodality treatment planning.
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