在ADPKD中,使用两个参数最小正方形的整体体积增长率的预测得到了改进
Zhongxiu Hu1, Arman Sharbatdaran1, Xinzi He1
1Department of Radiology, Weill Cornell Medicine, New York, 10022, USA.
Scientific reports
|June 14, 2024
概括
梅奥影像分类 (MIC) 可能对预测多次扫描的自身主导多囊性病 (ADPKD) 患者的生长不那么准确. 先进的装配方法显示出更高的准确性,特别是在男性和具有PKD2突变的人群中.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 放射学 放射学是一门学科.
- 遗传学 遗传学 是一个
背景情况:
- 自体主导多囊性病 (ADPKD) 是一种遗传性疾病,其特征是囊形成.
- 梅奥影像分类 (MIC) 使用单个MRI/CT扫描预测脏生长,假设指数增长.
- 结合多个成像扫描以改善ADPKD增长预测的最佳方法尚未确定.
研究的目的:
- 为了评估MIC在预测ADPKD患者生长轨迹的准确性,使用纵向成像数据.
- 使用多个可用的扫描,将MIC预测与其他方法进行比较,包括最小平方拟合.
- 确定MIC表现可能不足于最佳的患者子组.
主要方法:
- 对至少8年成像随访 (平均11年) 的ADPKD受试者的回顾性分析.
- 从连续的MRI/CT扫描中建立了基准真理生长轨迹.
- 将MIC预测与1和2参数最小方程拟合模型的年均绝对误差进行比较.
主要成果:
- 在有4种测量可用的情况下,2-参数最小方程拟合在预测体积总增长率方面表现出比MIC更高的精度.
- 经过3次测量,MIC和平均值的组合显示出改善,但2参数适配仍然更准确.
- 男性性别和PKD2突变与较差的MIC性能有关.
结论:
- 在有3次或以上成像扫描的ADPKD患者中,2参数最小方程的拟合提供了比MIC更准确的体积增长率预测.
- 在PKD2突变的男性和个体中,MIC的预测准确性特别有限.
- 纵向数据和先进的装配方法可以提高ADPKD管理中的增长预测准确度.
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