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相关概念视频

Synthesis and Regulation of Thyroid Hormones01:20

Synthesis and Regulation of Thyroid Hormones

3.9K
Low blood levels of the thyroid hormones — triiodothyronine (T3) and thyroxine (T4) — signal the hypothalamus to release the thyrotropin-releasing hormone (TRH). TRH then reaches the pituitary gland and stimulates the release of thyroid-stimulating hormone(TSH) into the bloodstream.
Upon reaching the thyroid gland, TSH stimulates the follicular cells' active uptake of iodide ions from the blood. The ions diffuse to the apical surface of the cells and are oxidized to iodine. The...
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Functions of Thyroid Hormones01:18

Functions of Thyroid Hormones

2.3K
The thyroid hormone (TH) plays a pivotal role in the intricate orchestration of physiological processes, exerting profound effects on development, metabolism, and homeostasis throughout different life stages.
TH is indispensable for the normal development and maturation of the skeletal, muscular, and nervous systems during fetal and childhood growth. It facilitates bone mineral turnover and regulates protein synthesis in developing tissues, contributing significantly to overall growth and...
2.3K
The Thyroid Gland01:23

The Thyroid Gland

3.3K
The thyroid gland is a small, butterfly-shaped gland located in the neck and covers the anterior surface of the trachea. The gland has two lateral lobes connected by a thin tissue mass called the isthmus. Internally, each lobe comprises many small spherical structures known as thyroid follicles, surrounded by a network of blood vessels.
The follicles have a central cavity lined by simple cuboidal to squamous epithelial cells called follicular cells. These cells produce the glycoprotein...
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相关实验视频

Updated: May 12, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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基于甲状腺功能数据的机器学习模型来区分恶性和良性甲状腺结节.

Fuqiang Ma1,2, Fengchang Yu3, Shenhui Lv4

  • 1Department of Integrated Traditional and Western Medicine,The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.

BMJ open
|May 7, 2025
PubMed
概括

这项研究开发了一种机器学习模型,使用常规数据区分恶性和良性甲状腺结节. 渐变增强模型,利用甲状腺功能测试和抗体水平,显示出有希望的诊断准确性.

关键词:
糖尿病和内分泌学机器学习 机器学习甲状腺疾病是一种甲状腺疾病.

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科学领域:

  • 内分泌学 在内分泌学.
  • 在瘤学瘤学.
  • 医疗信息学 医疗信息学

背景情况:

  • 甲状腺结节 (TNs) 很常见,其中很大一部分是恶性,需要准确的诊断工具.
  • 目前用于TNs的诊断方法可能是侵入性的或缺乏明确的准确性,导致不必要的程序.

研究的目的:

  • 开发和验证一种机器学习 (ML) 模型,使用常规临床数据来区分恶性和良性TN.
  • 为医疗专业人员提供诊断援助,以改善TN评估.

主要方法:

  • 分析了1649名TNs患者的队列,按性别,年龄和甲状腺功能参数分层 (自由三甲状腺素[FT3],自由甲状腺素[FT4],甲状腺过氧化酶抗体[TPOAB]).
  • 开发和评估了7个ML模型,包括随机森林,决策树,物流回归,K邻居,高斯天真湾,多层感知和梯度增强.
  • 绩效使用诸如曲线下面积 (AUC),准确度,回忆,精度和F1分数等指标进行评估.

主要成果:

  • 梯度提升模型表现最好,AUC为0.82,准确率为79.4%,精度为0.814.
  • 多变量分析显示,TN和甲状腺癌群体在性别,年龄,FT3,FT4和TPOAB方面存在显著差异.
  • 在梯度增强模型中,FT4,TPOAB和FT3被确定为前三大预测特征.

结论:

  • 使用渐变增强决策树算法开发了一种对良性和恶性TN的新型预测模型.
  • 该研究验证了甲状腺功能参数 (FT4,FT3) 和TPOAB作为TN评估的关键生物标志物的临床预测值.
  • 开发的ML模型提供了一种非侵入性工具,以帮助对甲状腺结节的差异诊断.