AIMC Topic: Thyroid Neoplasms
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An integrated nomogram combining deep learning, clinical characteristics and ultrasound features for predicting central lymph node metastasis in papillary thyroid cancer: A multicenter study.
Frontiers in endocrinology
Feb 21, 2023
OBJECTIVE: Central lymph node metastasis (CLNM) is a predictor of poor prognosis for papillary thyroid carcinoma (PTC) patients. The options for surgeon operation or follow-up depend on the state of CLNM while accurate prediction is a challenge for r...
Deep learning-based multifeature integration robustly predicts central lymph node metastasis in papillary thyroid cancer.
BMC cancer
Feb 8, 2023
BACKGROUND: Few highly accurate tests can diagnose central lymph node metastasis (CLNM) of papillary thyroid cancer (PTC). Genetic sequencing of tumor tissue has allowed the targeting of certain genetic variants for personalized cancer therapy develo...
Remote-Access Thyroidectomy in the Pediatric Population: a Systematic Review.
Advances in therapy
Feb 7, 2023
INTRODUCTION: Remote-access thyroidectomy has been reported in the pediatric population in a limited fashion.
Annotation-Free Deep Learning-Based Prediction of Thyroid Molecular Cancer Biomarker BRAF (V600E) from Cytological Slides.
International journal of molecular sciences
Jan 28, 2023
Thyroid cancer is the most common endocrine cancer. Papillary thyroid cancer (PTC) is the most prevalent form of malignancy among all thyroid cancers arising from follicular cells. Fine needle aspiration cytology (FNAC) is a non-invasive method regar...
Ultrasound images-based deep learning radiomics nomogram for preoperative prediction of rearrangement in papillary thyroid carcinoma.
Frontiers in endocrinology
Dec 20, 2022
PURPOSE: To create an ultrasound -based deep learning radiomics nomogram (DLRN) for preoperatively predicting the presence of rearrangement among patients with papillary thyroid carcinoma (PTC).
Application of deep learning as an ancillary diagnostic tool for thyroid FNA cytology.
Cancer cytopathology
Dec 16, 2022
BACKGROUND: Several studies have used artificial intelligence (AI) to analyze cytology images, but AI has yet to be adopted in clinical practice. The objective of this study was to demonstrate the accuracy of AI-based image analysis for thyroid fine-...
Diagnosis of Metastatic Lymph Nodes in Patients With Papillary Thyroid Cancer: A Comparative Multi-Center Study of Semantic Features and Deep Learning-Based Models.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Nov 27, 2022
OBJECTIVES: Deep learning algorithms have shown potential in streamlining difficult clinical decisions. In the present study, we report the diagnostic profile of a deep learning model in differentiating malignant and benign lymph nodes in patients wi...
Exploring risk factors for cervical lymph node metastasis in papillary thyroid microcarcinoma: construction of a novel population-based predictive model.
BMC endocrine disorders
Nov 4, 2022
BACKGROUND: Machine learning was a highly effective tool in model construction. We aim to establish a machine learning-based predictive model for predicting the cervical lymph node metastasis (LNM) in papillary thyroid microcarcinoma (PTMC).
Single-Port Transaxillary Robotic Modified Radical Neck Dissection (STAR-RND): Initial Experiences.
The Laryngoscope
Oct 29, 2022
OBJECTIVES: This study aimed to demonstrate the usefulness of single-port transaxillary robotic modified radical neck dissection (STAR-RND) for metastatic thyroid cancer, and its potential to make small and invisible surgical wounds possible compared...
Editorial Comment: ACR TI-RADS for Pediatric Thyroid Nodules on Ultrasound-A Structured Interpretation.
AJR. American journal of roentgenology
Oct 26, 2022
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