The QIBA Profile for Diffusion-Weighted MRI: Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker

医学 有效扩散系数 磁共振弥散成像 扩散 成像生物标志物 生物标志物 磁共振成像 核医学 放射科 化学 物理 热力学 生物化学
作者
Michael A. Boss,Dariya Malyarenko,Savannah C. Partridge,Nancy A. Obuchowski,Amita Shukla–Dave,Jessica Winfield,Clifton D. Fuller,Kevin Miller,Virendra Mishra,Michael A. Ohliger,Lisa J. Wilmes,Raj Attariwala,Trevor Andrews,Nandita M. deSouza,Daniel Margolis,Thomas L. Chenevert
出处
期刊:Radiology [Radiological Society of North America]
卷期号:313 (1)
标识
DOI:10.1148/radiol.233055
摘要

The apparent diffusion coefficient (ADC) provides a quantitative measure of water mobility that can be used to probe alterations in tissue microstructure due to disease or treatment. Establishment of the accepted level of variance in ADC measurements for each clinical application is critical for its successful implementation. The Diffusion-Weighted Imaging Biomarker Committee of the Quantitative Imaging Biomarkers Alliance (QIBA) has recently advanced the ADC Profile from the consensus to clinically feasible stage for the brain, liver, prostate, and breast. This profile distills multiple studies on ADC repeatability and describes detailed procedures to achieve stated performance claims on an observed ADC change within acceptable confidence limits. In addition to reviewing the current ADC Profile claims, this report has used recent literature to develop proposed updates for establishing metrology benchmarks for mean lesion ADC change that account for measurement variance. Specifically, changes in mean ADC exceeding 8% for brain lesions, 27% for liver lesions, 27% for prostate lesions, and 15% for breast lesions are claimed to represent true changes with 95% confidence. This report also discusses the development of the ADC Profile, highlighting its various stages, and describes the workflow essential to achieving a standardized implementation of advanced quantitative diffusion-weighted MRI in the clinic. The presented QIBA ADC Profile guidelines should enable successful clinical application of ADC as a quantitative imaging biomarker and ensure reproducible ADC measurements that can be used to confidently evaluate longitudinal changes and treatment response for individual patients.
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