کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8624290 | 1567923 | 2018 | 24 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An algorithmic approach to overcome diagnostic challenges in FNAC in large-cell poorly differentiated thyroid carcinomas
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
بیوشیمی بالینی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: An algorithmic approach to overcome diagnostic challenges in FNAC in large-cell poorly differentiated thyroid carcinomas An algorithmic approach to overcome diagnostic challenges in FNAC in large-cell poorly differentiated thyroid carcinomas](/preview/png/8624290.png)
چکیده انگلیسی
Microfollicular pattern may lead to these cases being misinterpreted as a differentiated follicular neoplasm on FNAC, and the dissociated large cells may mimic Hürthle cell neoplasm. Immunocytochemistry is not helpful in this scenario, although it does resolve the diagnostic dilemma when the differential diagnoses include medullary thyroid carcinoma and metastatic tumors. It is important to identify these tumors on FNAC as this facilitates proper management.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the American Society of Cytopathology - Volume 7, Issue 1, JanuaryâFebruary 2018, Pages 37-45
Journal: Journal of the American Society of Cytopathology - Volume 7, Issue 1, JanuaryâFebruary 2018, Pages 37-45
نویسندگان
Anuj MD, Shubhada V. MD, Vinod B. MD,