[基于机器学习的多式放射学模型的预测值,用于临床结节阴性乳头甲状腺微癌中的中枢淋巴结转移]
Jiawei Feng1, Yuxin Yang2, Shuiqing Liu3
1Department of Thyroid Surgery, the First People's Hospital of Changzhou, Changzhou 213003, Jiangsu Province, China. 2236305087@qq.com.
概括
使用多模式放射学的机器学习模型准确地预测了皮皮质甲状腺微癌 (PTMC) 患者中中枢淋巴结转移 (CLNM) 风险. 这有助于对临床节点阴性 (cN0) 个体进行个性化的术前评估.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 乳头甲状腺微瘤 (PTMC) 是乳头甲状腺癌的最小形式.
- 中枢淋巴结转移 (CLNM) 是PTMC的常见问题,即使在临床上是阴性淋巴结 (cN0) 患者.
- 准确的手术前预测CLNM对于适当的治疗计划和减少过度治疗至关重要.
研究的目的:
- 开发和验证基于机器学习的多式联络放射学模型.
- 预测cN0 PTMC患者中CLNM的风险.
- 加强手术前风险分层,以实现个性化的患者管理.
主要方法:
- 两家医院532名cN0 PTMC患者的回顾性分析.
- 使用超声波和CT成像功能的多式辐射模型的开发.
- 机器学习模型,包括渐变增强机 (GBM),进行了训练和验证.
- 使用AUC,决策曲线分析和SHAP值进行绩效评估.
主要成果:
- 五个临床因素 (年龄,哈西莫托甲状腺炎,瘤直径,单细胞计数,LMR) 独立地与CLNM相关.
- 拉索回归确定了超声波和CT的关键放射学特征.
- 多模式GBM模型显示出高预测性能:AUC为0.975 (训练),0.833 (内部验证) 和0.916 (外部验证).
- GBM模型在广泛的概率范围内显示出显著的临床效用.
结论:
- 多式联络放射学模型,特别是GBM,有效地预测了cN0 PTMC中的CLNM风险.
- 这种人工智能驱动的方法为个性化手术前风险评估提供了有前途的工具.
- 该模型有可能指导手术决策,并减少不必要的淋巴结解剖.
更多相关视频
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
497
07:45Author Spotlight: A Model to Study the Systemic and Local Dynamics of CD8+ T Cells During LN Metastasis
Published on: January 26, 2024
2.7K
相关概念视频
01:23Detailed Structure and Function of Lymph Nodes
4.5K
Lymph nodes are bean-shaped structures that cluster along the lymphatic vessels in the inguinal, axillary, and cervical regions. Each node is divided into compartments by a capsule that extends trabeculae inward.
From a histological perspective, lymph nodes can be split into two main areas: the superficial cortex and the deep medulla. The outer cortex is populated by dendritic cells, macrophages, and B lymphocytes, which are densely packed into follicles. When these B-lymphocytes are presented...
From a histological perspective, lymph nodes can be split into two main areas: the superficial cortex and the deep medulla. The outer cortex is populated by dendritic cells, macrophages, and B lymphocytes, which are densely packed into follicles. When these B-lymphocytes are presented...
4.5K
01:14Node Analysis for AC Circuits
649
Consider an angioplasty system featuring a catheter equipped with a turbine, a critical tool for removing plaque deposits from coronary arteries. This intricate medical device operates using a circuit model reminiscent of a dual-node RLC circuit powered by a current-controlled voltage source.
To unravel the complexities of this system, nodal analysis is employed, a powerful technique founded on Kirchhoff's current law (KCL), which remains valid for phasors. AC circuits can effectively be...
To unravel the complexities of this system, nodal analysis is employed, a powerful technique founded on Kirchhoff's current law (KCL), which remains valid for phasors. AC circuits can effectively be...
649
01:11Papillary Dermis
5.5K
Dermis
The dermis might be considered the "core" of the integumentary system, as distinct from the epidermis and hypodermis. It contains blood and lymph vessels, nerves, and other structures, such as hair follicles and sweat glands. The dermis is made of two layers of connective tissue that comprise an interconnected mesh of elastin and collagenous fibers, produced by fibroblasts.
Papillary Layer
The papillary layer is made of loose, areolar connective tissue, which means the collagen...
The dermis might be considered the "core" of the integumentary system, as distinct from the epidermis and hypodermis. It contains blood and lymph vessels, nerves, and other structures, such as hair follicles and sweat glands. The dermis is made of two layers of connective tissue that comprise an interconnected mesh of elastin and collagenous fibers, produced by fibroblasts.
Papillary Layer
The papillary layer is made of loose, areolar connective tissue, which means the collagen...
5.5K
02:27Predicting Molecular Geometry
45.5K
VSEPR Theory for Determination of Electron Pair Geometries
45.5K
01:30Simplified Synchronous Machine Model
754
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
In this model, each generator is connected to a...
754
01:24Wind Turbine Machine Models
563
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
563