Fang Mei
5 Papers
1 Citations
Fang Mei is an academic researcher. The author has contributed to research in topics: Thyroid & Medicine. The author has an hindex of 1, co-authored 1 publications.
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Papers
Factors Influencing the Sample Adequacy of Ultrasound-Guided Fine-Needle Aspiration from Solid Thyroid Nodules for Liquid-Based Cytology: A Demographic, Sonographic, and Technical Perspective
TL;DR: In this paper , the authors identify factors that influence the sample adequacy of solid thyroid nodules based on ultrasound-guided fine-needle aspiration (FNA) with subsequent liquid-based cytology.
Intraosseous lipoma of rib with intense radiotracer uptake on bone scintigraphy.
TL;DR: A 55-year-old woman complaining of discomfort and tenderness on the right inferior thorax for 2 weeks underwent thoracic CT scan on which a well-defined expansile lesion with fat and calcification density was demonstrated in the right ninth rib.
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Bilateral papillary thyroid cancer: pitfalls of ACR TI-RADS and evaluation of modified parameters.
Tingting Li,Yongyue Zhang,Zhiqiang Li,Fang Mei,Junsha Zhai,Min Zhang,Shumin Wang +6 more
- 21 Nov 2023
TL;DR: The modified TI-RADS classification based on the suspected lobe may facilitate effective preoperative malignant risk stratification of contralateral nodules in bilateral PTC.
Reconceptualize tall-cell variant papillary thyroid microcarcinoma: From a “sonographic histology” perspective
TL;DR: Wang et al. as discussed by the authors examined the relationship between sonographic features and histological manifestations in the tallcell variant of papillary thyroid microcarcinoma (TCV-PTMC), thus proposing the concept of "sonographic histology" and examine its value in the clinical management of the aggressive tall-cell variant.
Role of Ultrasound and Ultrasound-Based Prediction Model in Differentiating Follicular Thyroid Carcinoma From Follicular Thyroid Adenoma.
TL;DR: The preoperative nomogram model constructed based on US features serves as an effective tool for the risk stratification of thyroid follicular neoplasms.