上腺质量表征的放射学结果在不同的软件下是稳定和可重现的
Giacomo Feliciani1, Francesca Mascolo2, Alberto Cossu3
1Medical Physics Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.
Life (Basel, Switzerland)
|April 26, 2025
概括
上腺病变的放射性生物标志物显示SOPHIA和SIBEX软件之间存在很大的相似性. 然而,分类模型中的轻微性能差异强调了对可靠临床使用的标准化协议的需求.
科学领域:
- 医学成像分析分析 医学成像分析
- 放射学和人工智能 放射学和人工智能
背景情况:
- 上腺损伤的特征依赖于准确的放射生物标志物.
- 软件的变化可能会影响这些生物标志物的稳定性和可重复性.
研究的目的:
- 为了研究放射性生物标志物的稳定性和可重现性,用于上腺损伤的表征.
- 为了比较SOPHIA Radiomics和SIBEX软件包之间的放射性特征提取.
主要方法:
- 分析了上腺瘤的未增强的CT图像.
- 使用SOPHIA Radiomics和SIBEX提取了放射性特征.
- 使用了统计比较和机器学习模型 (逻辑回归,LDA,SVM).
主要成果:
- 通过两种软件包提取的放射性特征观察到高度相似性 (p=1.0).
- 在SOPHIA数据集上,分类模型的性能略有改善.
- 发现的关键特征包括"二次平均值"和"强度".
结论:
- 来自SOPHIA和SIBEX的放射性特征相似,但存在软件差异.
- 在上腺损伤的特征化中,标准化的协议对于可重现的放射学是至关重要的.
- 确保特征稳定性对于临床应用至关重要.
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