相关实验视频
Updated: Jun 11, 2025

09:36
Changes in Mammary Gland Morphology and Breast Cancer Risk in Rats
Published on: October 16, 2010
29.6K
乳腺密度估计的变化及其对乳腺癌风险评估的影响
Hye Ji1, Myoung-Jin Jang2, Jung Min Chang3
1Department of Radiology, Seoul National University Hospital, Seoul, Korea.
Journal of breast cancer
|September 30, 2024
概括
放射科医生和自动化软件在乳腺密度评估方面显示出中度一致. 这些测量的差异可能会影响乳腺癌风险估计,强调需要精确的密度评估,以实现个性化预防策略.
科学领域:
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
背景情况:
- 乳腺密度是乳腺癌的重要独立风险因素.
- 乳腺密度测量的变化可能会影响乳腺癌风险评估.
- 准确的乳腺密度评估对于个性化癌症预防策略至关重要.
研究的目的:
- 为了评估放射科医生和自动化乳腺密度评估软件之间的协议.
- 评估不同乳腺密度指标对乳腺癌风险估计的影响,使用乳腺癌监测联盟 (BCSC) 模型 (v.2).
主要方法:
- 对1949名女性 (平均年龄53.2岁) 乳房扫描数据的回顾性分析.
- 放射科医生分配的乳腺成像报告和数据系统 (BI-RADS) 乳腺组成指数与三个商业软件程序 (S1,S2,S3) 的比较.
- 使用一致率和科恩卡帕 (κ) 评估评价者间一致性;使用BCSC模型计算5年侵袭性乳腺癌风险 (v.2).
主要成果:
- 在放射科医生和软件之间观察到中等到实质性的协议 (κ = 0.49-0.68).
- 与放射科医生和其他软件 (40.5%-44.0%) 相比,S3软件将更少的女性分类为更高密度的类别 (14.9%).
- 密度评估的差异影响了乳腺癌风险估计,与其他方法相比,S3显示的高风险女性较少.
结论:
- 乳腺密度评估方法显示中度至实质性一致,但变化可能会影响乳腺癌风险预测.
- 精确和一致的乳腺密度测量对于准确的风险分层至关重要.
- 提高乳腺密度评估的准确性可能使更个性化和更有效的乳腺癌预防策略成为可能.
相关概念视频
Variability: Analysis
132
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
132
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
123
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
123
Biostatistics: Overview
227
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
Discrete variables are...
227
Cancer Survival Analysis
329
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
329
Variance
9.3K
The deviations show how spread out the data are about the mean. A positive deviation occurs when the data value exceeds the mean, whereas a negative deviation occurs when the data value is less than the mean. If the deviations are added, the sum is always zero. So one cannot simply add the deviations to get the data spread. By squaring the deviations, the numbers are made positive; thus, their sum will also be positive.
The standard deviation measures the spread in the same units as the...
The standard deviation measures the spread in the same units as the...
9.3K

