AIMC Topic: Thyroid Cancer, Papillary
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Development of machine learning models to predict papillary carcinoma in thyroid nodules: The role of immunological, radiologic, cytologic and radiomic features.
Auris, nasus, larynx
Sep 20, 2024
OBJECTIVE: Approximately 30 % of thyroid nodules yield an indeterminate diagnosis through conventional diagnostic strategies. The aim of this study was to develop machine learning (ML) models capable of identifying papillary thyroid carcinomas using ...
Pathology diagnosis of intraoperative frozen thyroid lesions assisted by deep learning.
BMC cancer
Aug 29, 2024
BACKGROUND: Thyroid cancer is a common thyroid malignancy. The majority of thyroid lesion needs intraoperative frozen pathology diagnosis, which provides important information for precision operation. As digital whole slide images (WSIs) develop, dee...
Prediction model for lateral lymph node metastasis of papillary thyroid carcinoma in children and adolescents based on ultrasound imaging and clinical features: a retrospective study.
BMC medical imaging
Aug 29, 2024
BACKGROUND: The presence of lateral lymph node metastases (LNM) in paediatric patients with papillary thyroid cancer (PTC) is an independent risk factor for recurrence. We aimed to identify risk factors and establish a prediction model for lateral LN...
Female
Risk Factors
Young Adult
Male
Risk Assessment
Humans
Retrospective Studies
Area Under Curve
Reference Values
Thyroid Cancer, Papillary
Predictive Learning Models
Lymph Nodes
Lymphatic Metastasis
Regression Analysis
Predictive Value of Tests
Adolescent
Thyroid Neoplasms
Ultrasonography
ROC Curve
Use of Natural Language Processing to Extract and Classify Papillary Thyroid Cancer Features From Surgical Pathology Reports.
Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists
Aug 26, 2024
BACKGROUND: We aim to use Natural Language Processing to automate the extraction and classification of thyroid cancer risk factors from pathology reports.
Ultrasound-based nomogram to predict the recurrence in papillary thyroid carcinoma using machine learning.
BMC cancer
Jul 7, 2024
BACKGROUND AND AIMS: The recurrence of papillary thyroid carcinoma (PTC) is not unusual and associated with risk of death. This study is aimed to construct a nomogram that combines clinicopathological characteristics and ultrasound radiomics signatur...
Identification and validation of potential common biomarkers for papillary thyroid carcinoma and Hashimoto's thyroiditis through bioinformatics analysis and machine learning.
Scientific reports
Jul 6, 2024
There is a growing body of evidence suggesting that Hashimoto's thyroiditis (HT) may contribute to an increased risk of papillary thyroid carcinoma (PTC). However, the exact relationship between HT and PTC is still not fully understood. The objective...
Machine learning algorithms for identifying contralateral central lymph node metastasis in unilateral cN0 papillary thyroid cancer.
Frontiers in endocrinology
May 10, 2024
PURPOSE: The incidence of thyroid cancer is growing fast and surgery is the most significant treatment of it. For patients with unilateral cN0 papillary thyroid cancer whether to dissect contralateral central lymph node is still under debating. Here,...
An individualized protein-based prognostic model to stratify pediatric patients with papillary thyroid carcinoma.
Nature communications
Apr 26, 2024
Pediatric papillary thyroid carcinomas (PPTCs) exhibit high inter-tumor heterogeneity and currently lack widely adopted recurrence risk stratification criteria. Hence, we propose a machine learning-based objective method to individually predict their...
Cervical lymph node metastasis prediction from papillary thyroid carcinoma US videos: a prospective multicenter study.
BMC medicine
Apr 12, 2024
BACKGROUND: Prediction of lymph node metastasis (LNM) is critical for individualized management of papillary thyroid carcinoma (PTC) patients to avoid unnecessary overtreatment as well as undesired under-treatment. Artificial intelligence (AI) traine...
Deep learning-based computer-aided diagnosis system for the automatic detection and classification of lateral cervical lymph nodes on original ultrasound images of papillary thyroid carcinoma: a prospective diagnostic study.
Endocrine
Apr 3, 2024
PURPOSE: This study aims to develop a deep learning-based computer-aided diagnosis (CAD) system for the automatic detection and classification of lateral cervical lymph nodes (LNs) on original ultrasound images of papillary thyroid carcinoma (PTC) pa...
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