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      Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials

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          Abstract

          Physiological properties of tumors can be measured both in vivo and non-invasively by diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging. Although these techniques have been used for more than two decades to study tumor diffusion, perfusion, and/or permeability the methods and studies on how to reduce measurement error and bias in the derived imaging metrics is still lacking in the literature. This is of paramount importance because the objective is to translate these quantitative imaging biomarkers (QIB) into clinical trials, and ultimately in clinical practice. Standardization of the image acquisition using appropriate phantoms is the first step from a technical performance standpoint. The next step is to assess whether the imaging metrics have clinical value and meet the requirements for being a QIB as defined by the Radiological Society of North America’s Quantitative Imaging Biomarkers Alliance/(QIBA®). The goal and mission of QIBA and the National Cancer Institute Quantitative Imaging Network (QIN) initiatives are to provide technical performance standards (QIBA profiles) and QIN tools for producing reliable QIBs for use in the clinical imaging community. Some of QIBA’s development of quantitative diffusion-weighted imaging and dynamic contrast-enhanced QIB profiles has been hampered by the lack of literature for repeatability and reproducibility of the derived QIBs. The available research on this topic is scant and is not in sync with improvements or upgrades in magnetic resonance imaging technology over the years. This review focuses on the need for QIBs in oncology applications and emphasizes the importance of the assessment of their reproducibility and repeatability.

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          Most cited references113

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          Magnetic Resonance Fingerprinting

          Summary Magnetic Resonance (MR) is an exceptionally powerful and versatile measurement technique. The basic structure of an MR experiment has remained nearly constant for almost 50 years. Here we introduce a novel paradigm, Magnetic Resonance Fingerprinting (MRF) that permits the non-invasive quantification of multiple important properties of a material or tissue simultaneously through a new approach to data acquisition, post-processing and visualization. MRF provides a new mechanism to quantitatively detect and analyze complex changes that can represent physical alterations of a substance or early indicators of disease. MRF can also be used to specifically identify the presence of a target material or tissue, which will increase the sensitivity, specificity, and speed of an MR study, and potentially lead to new diagnostic testing methodologies. When paired with an appropriate pattern recognition algorithm, MRF inherently suppresses measurement errors and thus can improve accuracy compared to previous approaches.
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            Temperature-dependent self-diffusion coefficients of water and six selected molecular liquids for calibration in accurate 1H NMR PFG measurements

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              Diffusion-weighted MR imaging of the liver.

              Magnetic resonance (MR) imaging plays an increasingly important role in the evaluation of patients with liver disease because of its high contrast resolution, lack of ionizing radiation, and the possibility of performing functional imaging sequences. With advances in hardware and coil systems, diffusion-weighted (DW) MR imaging can now be applied to liver imaging with improved image quality. DW MR imaging enables qualitative and quantitative assessment of tissue diffusivity (apparent diffusion coefficient) without the use of gadolinium chelates, which makes it a highly attractive technique, particularly in patients with severe renal dysfunction at risk for nephrogenic systemic fibrosis. In this review, acquisition parameters, postprocessing, and quantification methods applied to liver DW MR imaging will be discussed. The current clinical uses of DW MR imaging (liver lesion detection and characterization, compared and combined with conventional sequences) and the emerging applications of DW MR imaging (tumor treatment response and diagnosis of liver fibrosis and cirrhosis) will be reviewed. Also, limitations, mainly image quality and reproducibility of diffusion parameters, and future directions of liver DW MR imaging will be discussed.
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                Author and article information

                Journal
                Journal of Magnetic Resonance Imaging
                J. Magn. Reson. Imaging
                Wiley
                1053-1807
                1522-2586
                January 08 2019
                June 2019
                November 19 2018
                June 2019
                : 49
                : 7
                : e101-e121
                Affiliations
                [1 ]Department of Medical PhysicsMemorial Sloan Kettering Cancer Center New York New York USA
                [2 ]Department of RadiologyMemorial Sloan Kettering Cancer Center New York New York USA
                [3 ]Department of Quantitative Health SciencesCleveland Clinic Foundation Cleveland Ohio USA
                [4 ]Department of RadiologyUniversity of Michigan Ann Arbor Michigan USA
                [5 ]Department of RadiologyColumbia University Irving Medical Center New York New York USA
                [6 ]Advanced Imaging Research CenterOregon Health & Science University Portland Oregon USA
                [7 ]Department of Radiology and Biomedical ImagingUniversity of California San Francisco California USA
                [8 ]Division of Neuroradiology, Department of RadiologyUniversity of Southern California Los Angeles California USA
                [9 ]Department of RadiologyUniversity of Alabama at Birmingham Birmingham Alabama USA
                [10 ]Department of Radiation OncologyPrincess Margaret Cancer Centre Toronto Canada
                [11 ]Department of Fraunhofer MEVIS Bremen Germany
                [12 ]Department of Radiation OncologyMD Anderson Cancer Center Houston Texas USA
                [13 ]Department of RadiologyUniversity of Pennsylvania Philadelphia Pennsylvania USA
                [14 ]Applied Physics Division, National Institute of Standards and Technology Boulder Colorado USA
                [15 ]Departments of Medical Physics, Radiology, and Human OncologyUniversity of Wisconsin School of Medicine Madison Wisconsin USA
                Article
                10.1002/jmri.26518
                6526078
                30451345
                a1268e10-7245-400c-9239-713622b9d7aa
                © 2019

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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