Results 161 to 170 of about 47,312 (214)

Artificial intelligence–assisted digital thyroid FNA cytology: Improved agreement and sensitivity for higher‐risk Bethesda categories with enhanced screening efficiency

open access: yesCancer Cytopathology, Volume 134, Issue 10, October 2026.
Abstract Background Accurate cytologic classification of thyroid nodules is essential for clinical management, but interobserver variability and indeterminate interpretations remain persistent challenges. The clinical feasibility of AIxTHY, a disease‐specific deep‐learning algorithm integrated into a digital cytology platform, was evaluated for ...
Swati Satturwar   +12 more
wiley   +1 more source

Pentraxin-3 in thyroid nodules: a systemic marker of pathology and a local mediator of inflammation and carcinoma. [PDF]

open access: yesFront Endocrinol (Lausanne)
Cieri M   +10 more
europepmc   +1 more source

Impact of Operator Specialization and On‐Site Evaluation on Nondiagnostic Thyroid Fine‐Needle Aspiration: A Comparative Study

open access: yesDiagnostic Cytopathology, Volume 54, Issue 10, Page 719-723, October 2026.
ABSTRACT Background Thyroid fine‐needle aspiration (FNA) is the primary diagnostic method for evaluating thyroid nodules; however, nondiagnostic results remain a significant limitation, often leading to repeat procedures and delayed diagnosis. Operator specialization and rapid on‐site evaluation (ROSE) have been proposed as strategies to improve ...
Fatlinda Sadiku   +2 more
wiley   +1 more source

Preoperative risk score for malignancy in Bethesda III thyroid nodules: a multicentre retrospective study. [PDF]

open access: yesFront Endocrinol (Lausanne)
Carpio-Salmerón M   +10 more
europepmc   +1 more source

The 9th Edition of the UICC TNM Classification of Malignant Tumours: Updates and Rationale for Change

open access: yesInternational Journal of Cancer, Volume 159, Issue 7, Page 1588-1601, 1 October 2026.
ABSTRACT The standard for assessing and recording the extent of the tumour, a necessity for most malignancies, is the Tumour Node Metastases (TNM) classification. The Union for International Cancer Control (UICC) TNM committee has defined this since the early 1950s.
James D. Brierley   +8 more
wiley   +1 more source

Large Language Models Versus Multidisciplinary Tumor Board Decisions in Thyroid Cancer

open access: yesLaryngoscope Investigative Otolaryngology, Volume 11, Issue 5, October 2026.
This study compared treatment recommendations generated by ChatGPT 5.2 and Gemini 3.0 with real‐world multidisciplinary tumor board decisions in 59 consecutive thyroid cancer patients. ChatGPT showed higher concordance with MDT decisions than Gemini, with exact agreement rates of 71.2% and 64.4%, respectively.
Bayram Barış Büyük   +10 more
wiley   +1 more source

Modeling the Relationship of Age With Hypocalcemia Following Total Thyroidectomy: A NSQIP Analysis

open access: yesLaryngoscope Investigative Otolaryngology, Volume 11, Issue 5, October 2026.
ABSTRACT Objective To characterize the relationship between age and hypocalcemia risk following total thyroidectomy and identify critical age‐related transition points across the lifespan. Methods The American College of Surgeons National Surgical Quality Improvement Program Thyroidectomy Targeted database was queried for 21,109 adult patients (18 ...
Cyrus W. Abrahamson   +5 more
wiley   +1 more source

A targeted proteomics assay for the preoperative diagnosis of thyroid nodules. [PDF]

open access: yesCell Rep Med
Cai X   +49 more
europepmc   +1 more source

Breast Cancer‐Derived AZU1 Educates Neutrophils to Promote Tumor Progression and Metastasis Through PAD4‐Dependent Extracellular Trap Formation

open access: yesMolecular Carcinogenesis, Volume 65, Issue 10, Page 1281-1296, October 2026.
ABSTRACT Neutrophil extracellular traps (NETs) play crucial roles in cancer progression, but their regulatory mechanisms in breast cancer remain poorly understood. We developed a NETs‐related prognostic risk model using TCGA breast cancer data and identified key biomarkers through bioinformatics analysis.
Zhen Huang   +9 more
wiley   +1 more source

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