Whole process of standardization of diffusion-weighted imaging: Phantom validation and clinical application according to the QIBA profile

Author:

Choi Se Jin1,Kim Kyung Won1,Ko Yousun1,Cho Young Chul2,Jang Ji Sung1,Ahn Hyemin1,Kim Dong Wook1

Affiliation:

1. University of Ulsan, Asan Medical Center

2. Asan Institute for Life Sciences, University of Ulsan College of Medicine

Abstract

Abstract Objectives: To use the apparent diffusion coefficient (ADC) as reliable biomarkers, validation of MRI equipment performance and acquisition protocols should be performed prior to application in patients. This study aims to perform validation for various MRI equipment and clinical protocols for diffusion weighted imaging (DWI) using commercially available phantom, and the validated protocols were confirmed in patients’ images. Materials and Methods: The MRI equipment performance of four different scanners and clinical brain protocols were validated using a Quantitative Imaging Biomarker Alliance (QIBA) diffusion phantom and cloud-based analysis tool. We evaluated performance metrics regarding accuracy and repeatability of ADC using QIBA profile. The validated clinical protocols were applied to 17 patients, and image quality and repeatability of ADC were assessed. Results: The MRI equipment performance of all four MRI scanners demonstrated high accuracy in ADC measurement (ADC bias, -2.3% to -0.4%), excellent linear correlation to the reference ADC value (slope, 0.9–1.0; R2, 0.999–1.000), and high short-term repeatability [within-subject-coefficient-of-variation (wCV), 0%–0.3%]. The clinical protocols were also validated by fulfilling the QIBA claims with high accuracy of ADC measurement (ADC bias, -3.1-0.7%) and robust repeatability (wCV, 0%–0.1%). DWI acquired using the validated clinical brain protocols showed ideal image quality (mean score≥2.9) and good repeatability (wCV, 1.8–2.2 for white matter, 2.0–2.1 for cerebrospinal fluid). Conclusion: The whole process of standardization of DWI demonstrated the robustness of DWI with high accuracy and repeatability across diverse MRI equipment and clinically optimized protocols, which is in accordance with the QIBA claims.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3