A 61-year-old woman presented with a 2-month history of non-painful left eye proptosis. Imaging studies showed a superotemporal mass in the left orbit with intracranial extension. Surgical excision of the orbitocranial mass was performed and histopathologic examination revealed metastatic papillary thyroid carcinoma. She subsequently underwent total thyroidectomy. Orbital metastasis from thyroid carcinoma is rare and can be the initial manifestation of occult disease in 63% of cases.

Human ; Female ; Middle Aged: 45-64 Yrs Old ; Thyroid Neoplasms ; Thyroid Carcinoma ; Thyroid Cancer ; Papillary Thyroid Carcinoma ; Thyroid Cancer, Papillary

To address the high computational complexity of the Transformer in the segmentation of ultrasound thyroid nodules and the loss of image details or omission of key spatial information caused by traditional image sampling techniques when dealing with high-resolution, complex texture or uneven density two-dimensional ultrasound images, this paper proposes a thyroid nodule segmentation method that integrates the receiving weighted key-value (RWKV) architecture and spherical geometry feature (SGF) sampling technology. This method effectively captures the details of adjacent regions through two-dimensional offset prediction and pixel-level sampling position adjustment, achieving precise segmentation. Additionally, this study introduces a patch attention module (PAM) to optimize the decoder feature map using a regional cross-attention mechanism, enabling it to focus more precisely on the high-resolution features of the encoder. Experiments on the thyroid nodule segmentation dataset (TN3K) and the digital database for thyroid images (DDTI) show that the proposed method achieves dice similarity coefficients (DSC) of 87.24% and 80.79% respectively, outperforming existing models while maintaining a lower computational complexity. This approach may provide an efficient solution for the precise segmentation of thyroid nodules.
Thyroid Nodule/diagnostic imaging* ; Humans ; Ultrasonography/methods* ; Algorithms ; Image Processing, Computer-Assisted/methods* ; Thyroid Gland/diagnostic imaging*

Thyroid nodules are a common endocrine disorder, and their early detection and accurate diagnosis are crucial for the prevention of thyroid cancer. However, the highly heterogeneous morphology and boundaries of thyroid nodules pose significant challenges to their precise identification and classification. Traditional diagnostic approaches rely heavily on physicians' experience, which increases the risk of misdiagnosis and missed diagnoses. With the rapid advancement of computer-aided diagnosis (CAD) technologies, applying deep learning algorithms to the analysis of thyroid nodule ultrasound images has shown great potential. This paper reviews the latest research progress on deep learning-based CAD methods for thyroid nodules, with a focus on their applications in image preprocessing, segmentation and classification. The advantages and limitations of current techniques are analyzed, and potential future directions are discussed. This review aims to highlight the potential of deep learning in thyroid nodule diagnosis and to provide a foundation for selecting feasible pathways for future clinical applications.
Humans ; Thyroid Nodule/diagnostic imaging* ; Deep Learning ; Ultrasonography/methods* ; Diagnosis, Computer-Assisted/methods* ; Algorithms ; Thyroid Neoplasms/diagnostic imaging* ; Image Processing, Computer-Assisted/methods*

OBJECTIVES: To investigate the expression of apolipoprotein C1 (APOC1) in papillary thyroid carcinoma (PTC) and its effects on proliferation and apoptosis of PTC cells. METHODS: The expression level of APOC1 in PTC and its impact on prognosis were analyzed using GEPIA 2 and Kaplan-Meier databases. Immunohistochemistry (IHC) and Western blotting were used to detect the expression of APOC1 in PTC and adjacent tissues and in 3 PTC cell lines and normal thyroid Nthyori 3-1 cells. In TPC-1 and BCPAP cells, the effect of Lipofectamine 2000-mediated transfection with APOC1 siRNA or an APOC1-overexpressing plasmid on cell growth and colony formation ability were examined by observing the growth curves and using colony-forming assay. The changes in cell cycle and apoptosis of the transfected cells were analyzed with flow cytometry. RT-qPCR and Western blotting were used to detect the changes in expressions of P21, P27, CDK4, cyclin D1, Bcl-2, Bax, caspase-3 and caspase-9 and the key proteins in the JAK2/STAT3 signaling pathway. RESULTS: APOC1 expression was significantly higher in PTC tissues and the 3 PTC cell lines than in the adjacent tissues and Nthyori 3-1 cells, respectively. In TPC-1 and BCPAP cells, APOC1 knockdown obviously reduced cell proliferative activity, increased the percentage of G0/G1 phase cells, lowered the percentages of S and G2 phase cells, promoted cell apoptosis, and downregulated mRNA and protein expression levels of CDK4, cyclin D1 and Bcl-2 and the protein levels of p-JAK2 and p-STAT3. APOC1 overexpression in the cells produced the opposite effects on cell proliferation, apoptosis, cell cycle and the mRNA and protein expressions. The application of AG490, a JAK2 inhibitor, strongly attenuated APOC1 overexpression-induced activation of the JAK2/STAT3 signaling pathway in BCPAP cells. CONCLUSIONS APOC1 overexpression promotes proliferation and inhibits apoptosis of PTC cells possibly by activating the JAK2/STAT3 signaling pathway and accelerating cell cycle progression.
Humans ; Apoptosis ; Cell Proliferation ; STAT3 Transcription Factor/metabolism* ; Signal Transduction ; Janus Kinase 2/metabolism* ; Thyroid Neoplasms/pathology* ; Thyroid Cancer, Papillary ; Cell Line, Tumor ; Carcinoma, Papillary

A 61-year-old woman presented with a 2-month history of non-painful left eye proptosis. Imaging studies showed a superotemporal mass in the left orbit with intracranial extension. Surgical excision of the orbitocranial mass was performed and histopathologic examination revealed metastatic papillary thyroid carcinoma. She subsequently underwent total thyroidectomy. Orbital metastasis from thyroid carcinoma is rare and can be the initial manifestation of occult disease in 63% of cases.

Human ; Female ; Middle Aged: 45-64 Yrs Old ; Thyroid Neoplasms ; Thyroid Carcinoma ; Thyroid Cancer ; Papillary Thyroid Carcinoma ; Thyroid Cancer, Papillary

OBJECTIVES

To discuss a case of papillary thyroid carcinoma with concomitant thyroid tuberculosisin terms of clinical presentation and treatment.

METHODS

Design:Case Report

Setting:Tertiary Government Training Hospital

Patient:One

RESULTS

A 19-year-old Filipina consulted with a four-year history of a left thyroid nodule. She was clinically euthyroid with unremarkable systemic examination. Fine needle aspiration cytology (FNAC) was suspicious for malignancy and she underwent total thyroidectomy. Histopathology revealed papillary thyroid carcinoma of the left lobe, microcarcinoma of the isthmus and incidental note of tuberculosis (TB) of the right lobe. Management included oral anti-TB medications and surveillance.

CONCLUSION

A 19-year-old Filipina consulted with a four-year history of a left thyroid nodule. She was clinically euthyroid with unremarkable systemic examination. Fine needle aspiration cytology (FNAC) was suspicious for malignancy and she underwent total thyroidectomy. Histopathology revealed papillary thyroid carcinoma of the left lobe, microcarcinoma of the isthmus and incidental note of tuberculosis (TB) of the right lobe. Management included oral anti-TB medications and surveillance.

Human ; Female ; Young Adult: 19-24 Yrs Old ; Carcinoma ; Thyroid Cancer, Papillary ; Thyroid Neoplasms ; Thyroid Gland ; Thyroidectomy ; Thyroid Nodule ; Government ; Needles ; Hospitals ; Research Report

OBJECTIVES

To report a case of triple primary malignant neoplasms in a 70-year-old woman diagnosed with follicular and papillary thyroid carcinoma and diffuse B-cell lymphoma of the right submandibular gland and cervical lymph nodes.

METHODS

Design:Case Report

Setting:Tertiary Government Training Hospital

Patient: One

RESULTS

A 70- year-old woman presented with a four-year history of gradually enlarging anterior neck mass, associated with a right submandibular mass and neck nodes for one year. The gradual progression of her symptoms made the patient think that it was a benign condition. This led to a delay in medical consultation. The patient underwent total thyroidectomy with functional neck dissection of the ipsilateral right neck. Histopathology revealed simultaneous follicular and papillary thyroid carcinoma, and diffuse B-cell lymphoma of the cervical lymph nodes. The patient was referred to medical oncology and nuclear medicine for further management.

CONCLUSION

Our patient was incidentally diagnosed with follicular and papillary thyroid carcinoma and diffuse B cell lymphoma of the cervical lymph nodes after surgery. Such triple primary malignant neoplasms in a single individual are rare, and as in our case, may only be diagnosed in hindsight.

Human ; Female ; Aged: 65-79 Yrs Old ; Carcinoma ; B-lymphocytes ; Adenocarcinoma, Follicular ; Neoplasms ; Submandibular Gland ; Lymph Nodes ; Lymphoma, B-cell ; Thyroid Gland ; Thyroid Cancer, Papillary ; Thyroidectomy

OBJECTIVE

To determine the predictive value of ACR-TIRADS in detecting malignancy in thyroid nodules.

METHODS

This is a retrospective, multi-center, cross-sectional analysis of patients who underwent ultrasound and thyroidectomy at three Cordillera Consortium hospitals between January 2019 and December 2021. Ultrasound reports were reviewed and correlated with histopathology reports to determine features associated with malignancy.

RESULTS

A study of 117 patients with thyroid nodules found significant differences in ACR-TIRADS subcategories. The risk of malignancy for TIRADS categories 1, 2, 3, 4, and 5 were 10%, 9.5%, 21.9%, 43.9%, and 76.97%, respectively. ACR-TIRADS demonstrated a high sensitivity of 92.1% and negative predictive value (NPV) of 90.3% as a rule-out test, and a specificity of 96.2% with a positive predictive value (PPV) of 76.9% as a rule-in test using TIRADS 5 as malignant. Correct classification of malignant nodules increased by cut-off value with the highest at 73.5% at the ≥5 cut-off value. Discussion: Thyroid nodules were more common in females under 55 years old. Certain sonographic features of thyroid nodules, such as being solid or predominantly solid, hypoechoic, lobulated/irregular, and having punctate echogenic foci, were associated with malignancy. The risk of malignancy at Cordillera Consortium hospitals was notably higher in this study. The ACR-TIRADS test yielded results consistent with previous studies, with TR 1 and 2 indicating benign nodules and TIRAD 3-5 indicating malignant nodules.

CONCLUSION

Due to a higher risk of malignancy, it is recommended to be more aggressive in performing biopsies for thyroid nodules at Cordillera Consortium hospitals. ACR-TIRADS is a reliable screening tool and is recommended as a confirmatory test (TIRADS 5) for thyroid malignancy. Biopsies are still recommended for TIRADS 3, 4, and 5 nodules to avoid unnecessary procedures and confusion among surgeons.

Human ; Thyroid Nodule ; Thyroid Gland ; Thyroidectomy ; Radiology

Thyroglossal duct cyst carcinoma is rare with majority being Papillary thyroid carcinoma. This is diagnosed after the final histopathology report following a Sistrunk procedure. Though with a good prognosis, surgical management has been controversial. Reported here is a case of a 30-year-old female who presented with an anterior neck mass. Pre-operative diagnosis was a thyroglossal duct cyst and patient underwent Sistrunk procedure with no untoward events. Final histopathology report of the excised mass revealed papillary thyroid carcinoma. This report draws attention to the rarity of papillary carcinoma in thyroglossal duct cyst and highlights the surgical options for such cases.

Human ; Female ; Adult: 25-44 Yrs Old ; Thyroid Cancer, Papillary ; Thyroid Neoplasms ; Thyroid Gland ; Thyroglossal Cyst ; Carcinoma, Papillary ; Cysts

INTRODUCTION

Thyroid cancer is the most common endocrine related malignancy in the Philippines. Data showed Filipino patients are at higher risk to develop thyroid malignancy with an increasing incidence annually. Currently, the initial screening test utilized to evaluate thyroid nodules is ultrasonography with studies showing promising results in detecting and evaluating thyroid carcinoma employing the use of the Thyroid Imaging, Reporting and Data System (TIRADS). TIRADS is a standardized classification system to evaluate and characterize thyroid nodules. However, there are studies stating that TIRADS is of limited clinical value for risk stratification of indeterminate cytological results.

OBJECTIVES

The primary objective of this study is to determine the correlation of the results of TIRADS, Fine Needle Aspiration Cytology (FNAC), and histopathology of thyroid nodules among patients who underwent thyroidectomy at Makati Medical Center from January 2016 to March 2020.

METHODS

This is a retrospective, analytical, observational, cross-sectional study wherein medical records of patients who were diagnosed with thyroid nodules goiter who underwent thyroid ultrasound with TIRADS scoring, Fine needle Aspiration Biopsy (FNAB) and ultimately thyroidectomy were reviewed. The primary endpoint included diagnostic performance of TIRADS classification and the possible factors that may contribute to discordance to FNAB and Histopathology.

RESULTS

One hundred twenty-five patients who underwent thyroidectomy were reviewed. These patients underwent thyroidectomy on the basis of their fine needle aspiration biopsy results. With FNAB as a reference standard, TIRADS had good sensitivity of 100% and low specificity of 27.7% in detecting thyroid malignancy. Patients who had FNAB positive or suspicious for malignancy are 1.37 times more likely to yield a positive TIRADS compared to patients who are FNAB negative (LR+), and 94% less likely to yield a negative TIRADS result (LR-). When TIRADS is positive, the positive predictive value was 31.3% and when TIRADS is negative, the negative predictive value (NPV) was nearly 100%. Overall, the accuracy of TIRADS in thyroid malignancy is 45.6% with ROC area at 0.638, indicating fair discriminative power of TIRADS to differentiate between benign vs malignant thyroid nodules. With histopathology as a reference standard, TIRADS had good sensitivity of 96.3% and low specificity of 33.8%. Patients who are histopathology positive are 1.45 times more likely to yield a positive TIRADS compared to patients who are histopathology negative (LR+), and 89% less likely to yield a negative TIRADS result (LR-). When TIRADS is positive, the positive predictive value was 52.5% and when TIRADS is negative, the negative predictive value (NPV) was 92.3%. Overall, the accuracy of TIRADS in thyroid malignancy is 60.8% with ROC area at 0.65, indicating fair discriminative power to differentiate between benign versus malignant thyroid nodules.

CONCLUSION

TIRADS classification provides high sensitivity value in detecting thyroid malignancies but has fair discriminative power to differentiate between benign versus malignant thyroid nodules. Factors that are associated with discordant classification between TIRADS and FNAB were seen in those who underwent total thyroidectomy with lymph node dissection, and solid composition. There is insufficient evidence to determine whether any of the patient or nodule characteristics were associated with discordance between TIRADS and histopathology.

Human ; Thyroid Nodule