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多次注射钆对比剂后,用于在T1加权磁共振图像上进行信号强度比容积评估的自动化工作流程。

Automated workflow for volumetric assessment of signal intensity ratio on T1-weighted MR images after multiple gadolinium administrations.

作者信息

Liu Chia-Ying, Ramos Marc, Moreno-Dominguez David, Prčkovska Vesna, Rodrigues Paulo, Blank Markus, Moser Franklin G, Agris Jacob

机构信息

US Medical Affairs, Bayer HealthCare, Whippany, New Jersey, United States.

QMENTA Inc., Boston, Massachusetts, United States.

出版信息

J Med Imaging (Bellingham). 2021 Jan;8(1):014005. doi: 10.1117/1.JMI.8.1.014005. Epub 2021 Feb 26.

Abstract

Repeated injections of linear gadolinium-based contrast agent (GBCA) have shown correlations with increased signal intensities (SI) on unenhanced T1-weighted (T1w) images. Assessment is usually performed manually on a single slice and the SI as an average of a freehand region-of-interest is reported. We aim to develop a fully automated software that segments and computes SI ratio of dentate nucleus (DN) to pons (DN/P) and globus pallidus (GP) to thalamus (GP/T) for the assessment of gadolinium presence in the brain after a serial GBCA administrations. All patients ( ) underwent at least eight GBCA enhanced scans. The modal SI in the DN, GP, pons, and thalamus were measured volumetrically on unenhanced T1w images and corrected based on the reference protocol (measurement 1) and compared to the SI-uncorrected-modal-volume (measurement 2), SI-corrected-mean-volume (measurement 3), as well as SI-corrected-modal-single slice (measurement 4) approaches. Automatic processing worked on all 2119 studies (1150 at 1.5 T and 969 at 3 T). DN/P were (1.5 T) and (3 T). GP/T were (1.5 T) and (3 T). Modal DN/P ratios from volumetric assessment at 1.5 T failed to show a statistical difference with or without SI corrections ( ). All other -tests demonstrated significant differences (measurement 2, 3, 4 compared to 1, ). The fully automatic method is an effective powerful tool to streamline the analysis of SI ratios in the deep brain tissues. Divergent SI ratios using different approaches reinforces the need to standardize the measurement for the research in this field.

摘要

重复注射基于钆的线性造影剂(GBCA)已显示出与未增强T1加权(T1w)图像上信号强度(SI)增加相关。评估通常在单个切片上手动进行,并报告作为徒手感兴趣区域平均值的SI。我们旨在开发一种全自动软件,该软件可分割并计算齿状核(DN)与脑桥(DN/P)以及苍白球(GP)与丘脑(GP/T)的SI比值,以评估连续给予GBCA后脑内钆的存在情况。所有患者均接受了至少八次GBCA增强扫描。在未增强的T1w图像上对DN、GP、脑桥和丘脑的模态SI进行体积测量,并根据参考方案进行校正(测量1),并与未校正SI的模态体积(测量2)、校正SI的平均体积(测量3)以及校正SI的模态单切片(测量4)方法进行比较。自动处理在所有2119项研究中均有效(1.5T的有1150项,3T的有969项)。DN/P在1.5T时为 ,在3T时为 。GP/T在1.5T时为 ,在3T时为 。1.5T时体积评估的模态DN/P比值在有无SI校正的情况下均未显示出统计学差异( )。所有其他t检验均显示出显著差异(测量2、3、4与测量1相比, )。全自动方法是简化深部脑组织SI比值分析的有效强大工具。使用不同方法得出的不同SI比值强化了该领域研究中标准化测量的必要性。

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