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.

BACKGROUND

Thyroid storm (TS) continues to be a diagnostic and therapeutic challenge. It is a life-threatening severe thyrotoxicosis characterized by organ decompensation. This study aims to determine if there are any changes in this present century about TS diagnosis and management. Furthermore, it aims to describe the clinical profile, precipitants, and outcomes of patients with TS seen at the University of Santo Tomas Hospital (USTH) and assess the association of patient characteristics with mortality.

This is a retrospective cohort analysis of patients with TS admitted at USTH from 2009 through 2018. Logistic regression analysis was used to determine the association of age, Burch Wartofsky-Point Scale (BWPS) score, clinical manifestations, and precipitating factor with mortality.

A total of 21 cases were identified. Majority of the patients were female (90.48%) with a mean age of 42.90 years old. The overall mean BWPS was 49.52 (16.35) while those who expired had higher mean score of 61.67 (5.77). TS as the first clinical presentation was seen in only one patient (4.7%) while majority were previously diagnosed with hyperthyroidism, (95.24%). Graves’ disease (90.48%) was the most common etiology of thyrotoxicosis. Cardiac manifestations were predominant and tachycardia was the most common clinical manifestation (80.95%) with thyrotoxic heart disease as a comorbidity (23.81%). The most common precipitant was infection (52.38%) followed by noncompliance with treatment. The mean hospital length of stay was four days with two patients needing intubation, and both expired afterward. There were three mortalities (14.29%) due to multiple organ dysfunction and fatal arrythmia.

TS remains a life-threatening condition. Aggressive treatment is justified once with suspicion of TS. Age, BWPS on admission, clinical manifestation and precipitants did not predict the likelihood of mortality. Since predictive features are still not thoroughly identified due to its infrequency, it remains for us to be vigilant and not delay crucial treatment to improve the morbidity and mortality associated with TS.

INTRODUCTION

Papillary thyroid cancer (PTC) is generally considered to be an indolent disease with relatively good prognosis. However, some studies have shown that the Filipino population has a higher risk for disease recurrence compared to non-Filipino patients and hence early identification and management during the follow-up period would be beneficial, especially those in whom risk factors for recurrence were identified.

This study aims to identify determinants for disease recurrence of patients with papillary thyroid carcinoma (as defined by the American Thyroid Association (ATA) guidelines 2015) diagnosed from January 1, 2013-December 31, 2017, seen at the University of Santo Tomas Hospital (USTH) outpatient endocrine clinic and underwent total thyroidectomy with or without radioactive iodine ablation therapy.

Retrospective review of outpatient medical records of 82 patients with PTC who underwent total thyroidectomy with or without radioactive iodine (RAI) therapy and achieved excellent response (ER) to therapy was performed. Baseline clinical profile such as age at diagnosis, sex, family history of thyroid cancer, family history of goiter, histopathology result, serial thyroglobulin (Tg), anti-thyroglobulin (anti-Tg) levels, whole body scan reports, neck ultrasound reports and RAI doses were collected. Logistic regression analysis was used to identify determinants to the development of worsening response.

Of the 82 patients, 18 (21.9%) developed worsening response to therapy. Predictors of poor outcomes identified from previous studies such as age, sex, extent of disease, size and multifocality of tumors, ATA risk classification and initial dynamic risk assessment, RAI therapy, level of thyroid-stimulating hormone (TSH) suppression were analyzed. After logistic regression analysis, there was no significant association between variables and progression to worsening response that were previously identified in other studies.

Even though no significant association between investigated variables and worsening response were identified in this study, previous studies with larger populations that had exhibited positive association should be considered and hence current Philippine guidelines for the management of PTC must still be applied.

BACKGROUND

Thyroid fine-needle aspiration biopsy (FNAB) is widely used for thyroid nodule characterization, with approximately 2.7% of samples classified as "inadequate." Non-diagnostic samples pose limitations, resulting in repeated procedures, and unnecessary diagnostic thyroidectomies. Conventional smear (CS) is commonly the method of choice for cytologic preparation of thyroid FNAB. The cell block technique is an alternative that concentrates cells providing additional material for better evaluation and ancillary testing. While conventional smears are commonly used, introducing routine complementary cell blocks could potentially lower costs associated with repeat procedures and improve patient management.

The study aimed to investigate the diagnostic value of incorporating the cell block technique as adjunct to conventional smear technique in reducing nondiagnostic rates (Bethesda Category I) in thyroid-fine needle aspiration biopsies (FNAB) conducted in 2 private hospitals.

This is a multi-center, retrospective cross-sectional study with 701 samples from 528 adult patients, who underwent thyroid FNAB between January 2020 - September 2022. The primary outcome of interest is the reduction in non-diagnostic rates with the combined use of conventional smears and cell block.

The non-diagnostic rates were significantly higher with cell block technique (28.10%) as compared to conventional smears (16.26%), p-value < .01. The results show that conventional smears have lower non-diagnostic rates. With smear cytology alone, 114 (16.3%) of all samples were nondiagnostic. With the addition of cell block technique, 15 of these samples were reclassified as benign (n = 13), Bethesda III (n = 1) or Bethesda IV (n = 1). The rest of the non-diagnostic samples (n = 99) remained Bethesda I. Overall, the equivalent decrease in non-diagnostic rate was 2.1%.

The combined use of cell block and conventional smears did not significantly decrease nondiagnostic rates in thyroid FNAB. In general, conventional smears demonstrated superior diagnostic efficacy across all Bethesda categories, establishing it as the preferred sampling preparation method for thyroid FNAB. Cell blocks should be considered a supplementary technique, particularly in cases where ancillary methods like immunohistochemistry or molecular testing are needed.

Familial Adenomatous Polyposis (FAP) is a multi-tumoral syndrome that includes neoplasms in the duodenum, brain, pancreas and thyroid. The Cribriform Morular Variant (CMV) is a rare form of Papillary Thyroid Cancer seen in patients with FAP. Presented here is a 32 year old female who initially presented with an anterior neck mass followed years later by a rectal mass. She was diagnosed with FAP and colorectal adenocarcinoma and underwent total proctocolectomy with end ileostomy. She subsequently underwent a total thyroidectomy which revealed CMV Papillary Thyroid Carcinoma (CMV-PTC). Since FAP can have diverse presentations, a high index of suspicion is needed in order to make an earlier diagnosis to reduce potential morbidity and mortality. Papillary thyroid carcinoma can predate colonic polyposis. Identifying CMV-PTC early on can serve as an opportunity diagnose FAP early.

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.

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.

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.

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.

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.

INTRODUCTION: Radiofrequency ablation (RFA) avoids the complications of general anaesthesia, reduces length of hospitalisation and reduces morbidity from surgery. As such, it is a strong alternative treatment for patients with comorbidities who are not surgical candidates. However, to our knowledge, there have only been 1 systematic review and 3 combined systematic review and meta-analyses on this topic to date. This systematic review and meta-analysis seeks to evaluate the efficacy and safety of RFA in the treatment of papillary thyroid carcinoma (PTC) with longer follow-up durations. METHOD: PubMed, Embase and Cochrane databases were searched for relevant studies published from 1990 to 2021; 13 studies with a total of 1366 patients were included. The Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines and Sandelowski et al.'s approach1 to "negotiated consensual validation" were used to achieve consensus on the final list of articles to be included. All authors then assessed each study using a rating scheme modified from the Oxford Centre for Evidence-Based Medicine. RESULTS: Pooled volume reduction rates (VRRs) from 1 to 48 months after RFA, complete disappearance rates (CDR) and complications were assessed. Pooled mean VRRs were 96.59 (95% confidence interval [CI] 91.05-102.13, I2=0%) at 12 months2-6 and 99.31 (95% CI 93.74-104.88, I2=not applicable) at 48 months.2,5 Five studies showed an eventual CDR of 100%.2,4,7-9 No life-threatening complications were recorded. The most common complications included pain, transient voice hoarseness, fever and less commonly, first-degree burn. CONCLUSION RFA may be an effective and safe alternative to treating PTC. Larger clinical trials with longer follow-up are needed to further evaluate the effectiveness of RFA in treating PTC.
Humans ; Radiofrequency Ablation/methods* ; Thyroid Cancer, Papillary/surgery* ; Thyroid Neoplasms/surgery* ; Treatment Outcome ; Postoperative Complications/etiology*

Humans ; Thyroid Neoplasms/metabolism* ; Consensus ; Thyroidectomy ; China ; Immunohistochemistry ; Postoperative Period

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*