AIMC Topic: Biopsy, Fine-Needle

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Improved Diagnostic Accuracy of Thyroid Fine-Needle Aspiration Cytology with Artificial Intelligence Technology.

Thyroid : official journal of the American Thyroid Association Jun 1, 2024
Artificial intelligence (AI) is increasingly being applied in pathology and cytology, showing promising results. We collected a large dataset of whole slide images (WSIs) of thyroid fine-needle aspiration cytology (FNA), incorporating z-stacking, fr...
Humans Artificial Intelligence Retrospective Studies Thyroid Nodule Cytodiagnosis Biopsy, Fine-Needle Thyroid Cancer, Papillary Reproducibility of Results Sensitivity and Specificity Thyroid Gland Thyroid Neoplasms
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[Artificial intelligence in ultrasound diagnosis of thyroid nodules].

Khirurgiia Jan 1, 2024
OBJECTIVE: To analyze the efficacy of the S-Detect AI system of the Samsung RS85 ultrasound scanner (South Korea) in stratifying thyroid nodules compared to data obtained by specialist of ultrasound diagnostics.
Biopsy, Fine-Needle Thyroid Neoplasms Ultrasonography Thyroid Nodule Humans Republic of Korea Artificial Intelligence Female Sensitivity and Specificity Algorithms Adult Male Middle Aged Thyroid Gland
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Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision Support.

The Journal of clinical endocrinology and metabolism Nov 19, 2021
OBJECTIVE: To develop a machine learning tool to integrate clinical data for the prediction of non-benign thyroid cytology and histology.
Humans Machine Learning Child Thyroid Neoplasms Ultrasonography Thyroid Nodule Prognosis Retrospective Studies Thyroid Gland Biopsy, Fine-Needle Decision Support Systems, Clinical Follow-Up Studies Area Under Curve
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Thyroid Nodule Malignancy Risk Stratification Using a Convolutional Neural Network.

Ultrasound quarterly Jun 1, 2020
This study evaluates the performance of convolutional neural networks (CNNs) in risk stratifying the malignant potential of thyroid nodules alongside traditional methods such as American College of Radiology Thyroid Imaging Reporting and Data System ...
Image Interpretation, Computer-Assisted Biopsy, Fine-Needle Risk Assessment Thyroid Gland Thyroid Nodule Humans Neural Networks, Computer Retrospective Studies Female Sensitivity and Specificity Male Middle Aged
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High serum YKL-40 level is associated with poor prognosis in patients with lung cancer.

Tuberkuloz ve toraks Dec 1, 2018
INTRODUCTION: YKL-40 is a glycoprotein that plays role in inflammation and malignant processes. High serum YKL-40 levels are associated with short survive in cancer and chronic obstructive pulmonary disease (COPD) is another reason to increase its' l...
Neoplasm Staging Carcinoma, Non-Small-Cell Lung Female Humans Biomarkers, Tumor Aged Prognosis Bronchoscopy Biopsy, Fine-Needle Adult Male Glycoproteins Adipokines Chitinase-3-Like Protein 1 Middle Aged Lung Neoplasms
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Deep Learning-Based Computer-Aided Diagnosis System for Localization and Diagnosis of Metastatic Lymph Nodes on Ultrasound: A Pilot Study.

Thyroid : official journal of the American Thyroid Association Oct 1, 2018
BACKGROUND: The presence of metastatic lymph nodes is a prognostic indicator for patients with thyroid carcinomas and is an important determinant of clinical decision making. However, evaluating neck lymph nodes requires experience and is labor- and ...
Ultrasonography Lymph Nodes Adult Adolescent Lymphatic Metastasis Sensitivity and Specificity Thyroid Gland Biopsy, Fine-Needle Male Child Female Middle Aged Diagnosis, Computer-Assisted Aged Humans Deep Learning Aged, 80 and over Prognosis Pilot Projects Young Adult
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Classification and regression trees for the evaluation of thyroid cytomorphological characteristics: A study based on liquid based cytology specimens from thyroid fine needle aspirations.

Diagnostic cytopathology Aug 1, 2018
BACKGROUND: This study investigates the potential of classification and regression trees (CARTs) for the evaluation of thyroid lesions.
Regression Analysis Biopsy, Fine-Needle Humans Sensitivity and Specificity Thyroid Neoplasms
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Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network.

Journal of digital imaging Aug 1, 2017
With many thyroid nodules being incidentally detected, it is important to identify as many malignant nodules as possible while excluding those that are highly likely to be benign from fine needle aspiration (FNA) biopsies or surgeries. This paper pre...
Humans Neural Networks, Computer Sensitivity and Specificity Diagnosis, Computer-Assisted Thyroid Gland Ultrasonography Thyroid Nodule Biopsy, Fine-Needle
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Machine learning from concept to clinic: reliable detection of BRAF V600E DNA mutations in thyroid nodules using high-dimensional RNA expression data.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2015
The promise of personalized medicine will require rigorously validated molecular diagnostics developed on minimally invasive, clinically relevant samples. Measurement of DNA mutations is increasingly common in clinical settings but only higher-preval...
DNA, Neoplasm Oligonucleotide Array Sequence Analysis Proto-Oncogene Proteins B-raf RNA, Neoplasm Thyroid Nodule High-Throughput Nucleotide Sequencing Humans Computational Biology DNA Mutational Analysis Machine Learning Support Vector Machine Biopsy, Fine-Needle Gene Expression Profiling Mutation
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