Article

Machine learning-Based Classification of Papillary Thyroid Carcinoma Versus Multinodular Goiter Using Preoperative Laboratory and Cytology Data

2025-05-15

Abstract excerpt

<h4>Background</h4> Thyroid nodules are frequently encountered in clinical practice, with their detection increasing due to advancements in imaging modalities. While most nodules are benign, distinguishing papillary thyroid carcinoma (PTC) from benign entities such as multinodular goiter (MNG) remains a diagnostic challenge. Fine-needle aspiration (FNA) and sonography are standard tools, but their limitations high...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8e8f85dc-6960-5702-96ff-5c555a6909e2
DOI: 10.1101/2025.05.15.25327670

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine learning-Based Classification of Papillary Thyroid Carcinoma Versus Multinodular Goiter Using Preoperative Laboratory and Cytology DataDOI 10.1101/2025.05.15.25327670Read

Machine learning approaches for prediction of thyroid cancer recurrence using thyroglobulin level, whole body scanSemantic proximity Read

Development and validation of a multimodal interpretable machine learning model with SHAP for malignancy risk prediction in Bethesda III thyroid nodules: a dual-center retrospective cohort studySemantic proximity Read

BRAF V600E Gene Testing Combined with Serum TSH, TGAb, and TPOAb Testing for the Diagnosis of Malignancy in TI-RADS 4 NodulesSemantic proximity Read

The 2023 Bethesda System Predicts Aggressive Features and Histologic Subtype in Thyroid CancerSemantic proximity Read

Trends in AI-powered classification of thyroid neoplasms based on histopathology images, a systematic reviewSemantic proximity Read

Clinical value of multi-gene testing in distinguishing benign and malignant thyroid nodules.Semantic proximity Read

[Diagnostic Value of American Thyroid Association Guidelines,American College of Radiology Thyroid Imaging Reporting and Data System,and Chinese Thyroid Imaging Reporting and Data System Alone and Combined With BRAFV600E Mutation in Atypia of Undetermined Significance/Follicular Lesion of Undetermined Significance].Semantic proximity Read

A Transformer-Based 2.5D Deep Learning Model for Preoperative Prediction of Lymph Node Metastasis in Papillary Thyroid CarcinomaSemantic proximity Read

Annotation-Free Deep Learning-Based Prediction of Thyroid Molecular Cancer Biomarker BRAF (V600E) from Cytological Slides.Semantic proximity Read

Noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP): Prevalence, cyto-histo correlation, and molecular and ultrasonographic profile.Semantic proximity Read

ThyroNet-X4 Genesis: An Advanced Deep Learning Model for Auxiliary Diagnosis of Thyroid Nodules' MalignancySemantic proximity Read

Thyroid Malignancy among Patients with Multinodular Goiter: A Retrospective Cross-Sectional StudySemantic proximity Read