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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
A practical diagnostic approach to solid/trabecular nodules in the thyroid
1Department of Clinical and Biological Sciences at San Luigi Hospital, University of Turin, Regione Gonzole 10, Turin, Orbassano, Italy. marco.volante@unito.it
Endocrine Pathology
|April 15, 2008
Summary
Diagnosing thyroid nodules with a solid/trabecular pattern can be challenging. Immunohistochemical markers are recommended to differentiate between various benign and malignant thyroid tumors.
Area of Science:
- Endocrinology
- Pathology
- Oncology
Background:
- Thyroid nodules with non-follicular-non-papillary structures, particularly solid/trabecular patterns, are common.
- These patterns present diagnostic challenges due to a wide range of differential diagnoses, including adenomas, papillary carcinoma variants, hyalinizing trabecular tumors, and paragangliomas.
Purpose of the Study:
- To address the diagnostic difficulties in classifying thyroid nodules with a predominant solid/trabecular pattern.
- To propose an effective diagnostic strategy utilizing immunohistochemistry.
Main Methods:
- Review of diagnostic hallmarks for various entities presenting with solid/trabecular patterns in thyroid nodules.
- Recommendation of a stepwise immunohistochemical marker panel, starting with thyroglobulin and calcitonin.
- Development of a diagnostic algorithm based on morphology, clinical setting, and immunohistochemical results.
Main Results:
- Morphological assessment alone is often insufficient for accurate diagnosis of solid/trabecular thyroid tumors.
- A panel of immunohistochemical markers is crucial for precise subtyping.
- The proposed algorithm aids in differentiating common and rare tumors within this category.
Conclusions:
- Accurate typing of solid/trabecular thyroid nodules requires a combination of morphological evaluation and targeted immunohistochemistry.
- The recommended diagnostic algorithm can improve diagnostic accuracy and patient management.
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