Thyroid

Glycosylation Signatures of Thyroglobulin in Papillary Thyroid Carcinoma.

Thyroglobulin (Tg) is a clinically established biomarker for thyroid cancer; however, its diagnostic specificity remains limited due to confounding benign conditions. This study investigated changes in the site-specific N-glycosylation profiles of thyroglobulin protein derived from papillary thyroid cancer and adjacent healthy tissues. Using a bottom-up mass spectrometry-based glycoproteomic appro...

Prediction model for recurrent laryngeal nerve injury in microwave ablation of thyroid nodules.

OBJECTIVE: This study aims to develop an explainable machine learning (ML) framework integrating clinical, imaging, and procedural features for predicting recurrent laryngeal nerve (RLN) injury risk during microwave ablation (MWA) of thyroid nodules. METHODS: A retrospective study is conducted using data from 254 patients who underwent thyroid nodule MWA. Recursive feature elimination (RFE) with 5...

Performance of leading large language models in adhering to clinical guidelines for anaplastic thyroid cancer: a comparative study.

Anaplastic thyroid cancer (ATC) is a rare, aggressive malignancy with poor prognosis. Adherence to guidelines from the National Comprehensive Cancer N...

Preoperative prediction of occult high-volume central lymph node metastasis in clinically node-negative papillary thyroid carcinoma using a multimodal practical model: development, temporal validation, and external validation.

PURPOSE: Preoperative risk estimation of occult high-volume central lymph node metastasis (CLNM) in clinically node-negative (cN0) papillary thyroid c...

AI-augmented thyroid scintigraphy for robust classification of disease.

Thyroid scintigraphy is vital for diagnosing thyroid disorders, yet deep learning (DL) models in this domain often struggle with limited, imbalanced d...

Association of lipid profiles with suicide attempts in young adults with first-episode drug-naive major depressive disorder: a gender-specific analysis.

Major depressive disorder (MDD) is strongly associated with suicide risk. While lipid metabolism dysregulation is implicated in MDD pathophysiology, i...

Assessment of Papillary Thyroid Carcinoma by Profiling Multiple Matrix Metalloproteinase Activities Using a Machine Learning-Assisted Peptide Microarray Sensing Platform.

Although significant progress has been achieved in diagnosing papillary thyroid carcinoma (PTC), it remains a challenge to diagnose thyroid nodules (T...

A cloud-edge adaptive lightweight network with dynamic inference enables real-time ultrasound image segmentation.

Ultrasound image segmentation plays an important role in clinical diagnosis, but existing deep learning methods struggle to balance accuracy and effic...

Simulating the Dedifferentiation Process of Thyroid Cancer: Insights from Mouse Models and Ultrasound Imaging.

RATIONALE AND OBJECTIVE: Anaplastic thyroid carcinoma (ATC) may arise from the progression of differentiated thyroid cancers, but the mechanisms are n...

Association of glycolipid metabolism 6 factors index with cardiovascular and metabolic diseases, and its predictive value in disease progression.

BACKGROUND: The study aims to investigate the potential of glycolipid metabolism 6 factors (GLM6) and glycolipid metabolism 7 factors (GLM7) indexes i...

Impact on Cost and Expert Time of Data-Efficient Deep Learning for Medical Image Segmentation.

Purpose To develop and systematically evaluate an iterative training approach, termed the expert-guided annotation loop, for efficient reference stand...

APASA: adaptive selection of informative peritumoral regions for improved automated cancer lesion analysis.

Precise cancer lesion analysis in medical imaging critically depends on the accurate definition of regions of interest (ROIs), which directly influenc...

Clinically accessible eye-tracking in thyroid-associated ophthalmopathy: exploratory classification modeling and gaze allocation to disease-related periocular images.

BACKGROUND: Thyroid-associated ophthalmopathy (TAO) is an autoimmune orbital disease that may cause ocular motility abnormalities, altered periocular ...

Integrating neurobiological markers to prospectively predict adolescent non-suicidal self-injury and suicide attempts: a machine learning approach.

BACKGROUND: Suicide attempts (SA) and non-suicidal self-injury (NSSI) are closely related phenomena, both common in adolescent clinical samples. This ...

The Value of a Predictive Model Based on Multimodal Ultrasound Imaging Biomarkers Combined with Clinical Features in the Diagnosis of Thyroid Nodules.

INTRODUCTION: This study aimed to develop and validate diagnostic models for distinguishing benign and malignant thyroid nodules. METHODS: Between Jan...

Development and Validation of Machine-Learning-Based Prediction Models for Thyroid Diseases During Pregnancy.

BACKGROUND International guidelines recommend early screening based on targeted risk factors to identify thyroid disease during pregnancy. The complex...

Transcriptomic identification of key genes influencing m7G modification in thyroid carcinoma and experimental validation.

BACKGROUND: N7-methylguanosine (m7G) modification plays a critical role in RNA metabolism and is increasingly recognized for its implications in cance...

Interpretable integration of SEM and SVM for reliable thyroid nodule classification.

Benchmarking deep learning models for laryngeal cancer staging using the LaryngealCT dataset.

Laryngeal cancer imaging research lacks standardised public datasets to enable reproducible deep learning (DL) model development. We present Laryngeal...

Risk stratification for reoperation outcomes in recurrent or persistent papillary thyroid carcinoma: development and validation of a machine learning model.

BACKGROUNDS: Reoperation is a key therapeutic strategy for recurrent or persistent papillary thyroid carcinoma (PTC), but its outcomes remain highly h...