Wallace Tess E, Afacan Onur, Jaimes Camilo, Rispoli Joanne, Pelkola Kristina, Dugan Monet, Kober Tobias, Warfield Simon K
Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, MA, USA.
Department of Radiology, Harvard Medical School, Boston, MA, USA.
Magn Reson Med. 2021 Jun;85(6):3169-3181. doi: 10.1002/mrm.28649. Epub 2021 Jan 6.
To investigate the ability of free induction decay navigator (FIDnav)-based motion monitoring to predict diagnostic utility and reduce the time and cost associated with acquiring diagnostically useful images in a pediatric patient cohort.
A study was carried out in 102 pediatric patients (aged 0-18 years) at 3T using a 32-channel head coil array. Subjects were scanned with an FID-navigated MPRAGE sequence and images were graded by two radiologists using a five-point scale to evaluate the impact of motion artifacts on diagnostic image quality. The correlation between image quality and four integrated FIDnav motion metrics was investigated, as well as the sensitivity and specificity of each FIDnav-based metric to detect different levels of motion corruption in the images. Potential time and cost savings were also assessed by retrospectively applying an optimal detection threshold to FIDnav motion scores.
A total of 12% of images were rated as non-diagnostic, while a further 12% had compromised diagnostic value due to motion artifacts. FID-navigated metrics exhibited a moderately strong correlation with image grade (Spearman's rho ≥ 0.56). Integrating the cross-correlation between FIDnav signal vectors achieved the highest sensitivity and specificity for detecting non-diagnostic images, yielding total time savings of 7% across all scans. This corresponded to a financial benefit of $2080 in this study.
Our results indicate that integrated motion metrics from FIDnavs embedded in structural MRI are a useful predictor of diagnostic image quality, which translates to substantial time and cost savings when applied to pediatric MRI examinations.
研究基于自由感应衰减导航器（FIDnav）的运动监测预测诊断效用的能力，并减少在儿科患者队列中获取具有诊断价值图像所涉及的时间和成本。
使用32通道头部线圈阵列，在3T场强下对102名0至18岁的儿科患者进行研究。受试者采用FID导航的MPRAGE序列进行扫描，两名放射科医生使用五分制对图像进行分级，以评估运动伪影对诊断图像质量的影响。研究了图像质量与四个综合FIDnav运动指标之间的相关性，以及每个基于FIDnav的指标检测图像中不同程度运动破坏的敏感性和特异性。还通过对FIDnav运动分数回顾性应用最佳检测阈值来评估潜在的时间和成本节省情况。
共有12%的图像被评为无法诊断，另有12%的图像因运动伪影而诊断价值受损。FID导航指标与图像分级呈现出中等强度的相关性（斯皮尔曼等级相关系数ρ≥0.56）。整合FIDnav信号向量之间的互相关性在检测无法诊断的图像时具有最高的敏感性和特异性，在所有扫描中总共节省了7%的时间。在本研究中，这相当于2080美元的经济效益。
我们的结果表明，结构MRI中嵌入的FIDnav的综合运动指标是诊断图像质量的有用预测指标，应用于儿科MRI检查时可节省大量时间和成本。
