Результати пошуку - Aylin Simsir

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  1. 1
    Impact of the Reclassification of “Noninvasive Encapsulated Follicular Variant of Papillary Thyroid Carcinoma” to “Noninvasive Follicular Thyroid Neoplasm With Papillary-Like Nuclear Features” on the Bethesda System for Reporting Thyroid Cytopathology

    Impact of the Reclassification of “Noninvasive Encapsulated Follicular Variant of Papillary Thyroid Carcinoma” to “Noninvasive Follicular Thyroid Neoplasm With Papillary-Like Nucle... за авторством Ryan P. Lau, John Paulsen, Tamar Brandler, Liu C, Aylin Simsir, Fang Zhou

    Опубліковано 2017
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  2. 2
    Can noninvasive follicular thyroid neoplasm with papillary‐like nuclear features be distinguished from classic papillary thyroid carcinoma and follicular adenomas by fine‐needle aspiration?

    Can noninvasive follicular thyroid neoplasm with papillary‐like nuclear features be distinguished from classic papillary thyroid carcinoma and follicular adenomas by fine‐needle as... за авторством Tamar Brandler, Fang Zhou, Liu C, Michael Cho, Ryan P. Lau, Aylin Simsir, Kepal N. Patel, Wei Sun

    Опубліковано 2017
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  3. 3
    Does Noninvasive Follicular Thyroid Neoplasm With Papillary-Like Nuclear Features (NIFTP) Have a Unique Molecular Profile?

    Does Noninvasive Follicular Thyroid Neoplasm With Papillary-Like Nuclear Features (NIFTP) Have a Unique Molecular Profile? за авторством Tamar Brandler, Liu C, Michael Cho, Fang Zhou, Joan Cangiarella, Melissa Yee‐Chang, Yan Shi, Aylin Simsir, Wei Sun

    Опубліковано 2018
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  4. 4
    Does a higher American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI‐RADS) score forecast an increased risk of malignancy? A correlation study of ACR TI‐RADS with FNA cytology in the evaluation of thyroid nodules

    Does a higher American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI‐RADS) score forecast an increased risk of malignancy? A correlation study of ACR TI‐RA... за авторством Lopa Modi, Wei Sun, Negin Shafizadeh, Raquel Negron, Melissa Yee‐Chang, Fang Zhou, Aylin Simsir, Sheila Sheth, Tamar Brandler

    Опубліковано 2020
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