相关实验视频

Updated: Aug 19, 2026

Isolation, Processing and Analysis of Murine Gingival Cells

Isolation, Processing and Analysis of Murine Gingival Cells

Published on: July 2, 2013

基于临床特征的决策树模型的开发,用于根据临床特征预测局部牙扩大的恶性瘤

Pawat Sripodok¹, Puangwan Lapthanasupkul¹, Tawepong Arayapisit²

¹Department of Oral and Maxillofacial Pathology, Faculty of Dentistry, Mahidol University, Bangkok, Thailand.

Scientific reports

|September 27, 2024

概括

这项研究在6.53%的泰国患者中发现局部性牙扩大 (LGEs). 使用尺寸,颜色和年龄的新临床指南有助于区分恶性和非恶性LGE.

科学领域:

口腔病理学口腔病理学
在瘤学瘤学.
牙科诊断牙科诊断牙科诊断

背景情况:

局部性牙扩大 (LGE) 是一个诊断挑战.
准确区分反应性和恶性LGE对于患者管理至关重要.

研究的目的:

确定泰国患者LGE的患病率和临床特征.
开发一种临床诊断指南,用于预测恶性LGE.

主要方法:

20年来对946个LGE案件进行了回顾性审查.
对临床和病理诊断,人口统计和临床信息的分析.
为诊断指南开发决策树模型的开发.

主要成果:

在14487例活检病例中,LGE在6.53%中被发现.
大多数是反应性病变 (72.62%),7.51%是恶性瘤.
对于恶性LGE (54.93%) 和非恶性LGE (80.69%) 的诊断一致性较低.

结论:

尺寸,一致性,颜色,持续时间和患者年龄是区分的关键因素.
提出了一份新的临床诊断指南,以提高区分恶性LGE的准确性.

关键词:

癌症癌症癌症癌症决策树模型决策树模型诊断树是一个诊断树.牙癌牙癌是指牙的癌症.局部性牙扩大牙扩大反应性损伤反应性损伤

更多相关视频

Three-dimensional Inflammatory Human Tissue Equivalents of Gingiva

Three-dimensional Inflammatory Human Tissue Equivalents of Gingiva

Published on: April 3, 2018

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors

Published on: February 16, 2024

相关概念视频

Survival Tree

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a survival tree begins...