Suppr超能文献

左心室腔容积和射血分数的常规估计方法和 3D 表面拟合的准确性。

Accuracy of Left Ventricular Cavity Volume and Ejection Fraction for Conventional Estimation Methods and 3D Surface Fitting.

机构信息

1 Department of Radiation Oncology University of Florida College of Medicine Gainesville FL.

出版信息

J Am Heart Assoc. 2019 Mar 19;8(6):e009124. doi: 10.1161/JAHA.118.009124.

Abstract

Background While left ventricular cavity volume ( LVV ) and ejection fraction ( LVEF ) are used routinely for clinical decision-making, the errors in LVV and LVEF estimates in the clinic have yet to be rigorously quantified and are perhaps underappreciated. Methods and Results The goal of this study was to quantify the accuracy and precision of several common geometric-model-based methods for estimating LVV and LVEF using a highly sampled, high-resolution magnetic resonance imaging data set and an independent ground truth. The effect on LVV and LVEF accuracy of slice number and orientation was also studied. When using the common geometric assumptions and limited short- and/or long-axis views, the expected LVEF measurement uncertainty can be as high as 49%. The composite midpoint rule applied to a stack of short-axis slices can achieve LVEF error <3% and LVV error of ≈10%, but in the clinic an additional ≈8% uncertainty is expected. An analogous approach applied to a series of radially prescribed long-axis slices can achieve higher LVEF accuracy, up to 3.9% with 12 slices, and more reliable LVV measurements than methods based solely on short-axis images. Using a mathematical 3-dimensional surface model that incorporates anatomic information from multiple views achieves superior accuracy, with LVEF error <4% and LVV error <2.5% when using 6 slices in each short- and long-axis view. Conclusions Combining anatomical information from multiple views into a conformal 3-dimensional surface model greatly reduces errors in LVV and LVEF estimates, with potential clinical benefit via improved early detection of cardiac disease.

摘要

背景

尽管左心室腔容积(LVV)和射血分数(LVEF)常用于临床决策,但临床上 LVV 和 LVEF 估计的误差尚未得到严格量化,也许还未被充分认识。

方法和结果

本研究的目的是使用高度采样、高分辨率磁共振成像数据集和独立的地面实况来量化几种常见基于几何模型的方法估计 LVV 和 LVEF 的准确性和精密度。还研究了切片数量和方向对 LVV 和 LVEF 准确性的影响。当使用常见的几何假设和有限的短轴和/或长轴视图时,预期的 LVEF 测量不确定性可能高达 49%。应用于短轴切片堆栈的复合中点规则可以实现 LVEF 误差<3%和 LVV 误差约为 10%,但在临床上预计会增加约 8%的不确定性。类似地,应用于一系列径向规定的长轴切片的方法可以实现更高的 LVEF 准确性,使用 12 个切片可达到 3.9%,并且比仅基于短轴图像的方法具有更可靠的 LVV 测量值。使用整合来自多个视图的解剖信息的数学 3 维表面模型可以实现更高的准确性,在每个短轴和长轴视图中使用 6 个切片时,LVEF 误差<4%,LVV 误差<2.5%。

结论

将来自多个视图的解剖信息组合到一个一致的 3 维表面模型中,可以大大降低 LVV 和 LVEF 估计的误差,通过提高对心脏疾病的早期检测,具有潜在的临床益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87fa/6475047/df31086e5e9c/JAH3-8-e009124-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验