ArticleJournal of medical imaging (Bellingham, Wash.)2018
Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network.
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Article in Journal of medical imaging (Bellingham, Wash.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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23citing papers in PubMed, 1 pooled it
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diffusion-weighted imaging of the breast-a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group.European radiology · 2020Guideline
- Additive value of diffusion-weighted MRI in the I-SPY 2 TRIAL.Journal of magnetic resonance imaging : JMRI · 2019Trial
- Multi-parametric MRI radiomics to predict sensitivity to neoadjuvant chemoradiotherapy based on multi-regions of interest in locally advanced rectal cancer: a multicenter study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Quantitative evaluation of apparent diffusion coefficient in a large multi-unit institution.Physics and imaging in radiation oncology · 2025Article
- Open-source quality assurance for multi-parametric MRI: a diffusion analysis update for the magnetic resonance biomarker assessment software (MR-BIAS).Magma (New York, N.Y.) · 2025Article
- Quantifying multi-institutional ADC measurement variability of 1.5 T MR-Linacs: A phantom and in vivo study.Medical physics · 2025Article
- Evaluation of Apparent Diffusion Coefficient Repeatability and Reproducibility for Preclinical MRIs Using Standardized Procedures and a Diffusion-Weighted Imaging Phantom.Tomography (Ann Arbor, Mich.) · 2023Article
- Diffusion MRI correlation with p16 status and prediction for tumor progression in locally advanced head and neck cancer.Frontiers in oncology · 2023Article
- Conformance of a 3T radiotherapy MRI scanner to the QIBA Diffusion Profile.Medical physics · 2022Article
- Multi-Site Concordance of Diffusion-Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness.Journal of magnetic resonance imaging : JMRI · 2022Article
- Magnetic resonance biomarkers in radiation oncology: The report of AAPM Task Group 294.Medical physics · 2021Article
- Association between liver diffusion-weighted imaging apparent diffusion coefficient values and other measures of liver disease in pediatric autoimmune liver disease patients.Abdominal radiology (New York) · 2021Article
- Optimal Control Theory for Personalized Therapeutic Regimens in Oncology: Background, History, Challenges, and Opportunities.Journal of clinical medicine · 2020Review
- Quantitative Imaging Informatics for Cancer Research.JCO clinical cancer informatics · 2020Article
- Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging.Breast cancer research and treatment · 2020Article
- Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials.Journal of magnetic resonance imaging : JMRI · 2019Review
- Multiparameter MRI Predictors of Long-Term Survival in Glioblastoma Multiforme.Tomography (Ann Arbor, Mich.) · 2019Article
- Repeatability of Quantitative Diffusion-Weighted Imaging Metrics in Phantoms, Head-and-Neck and Thyroid Cancers: Preliminary Findings.Tomography (Ann Arbor, Mich.) · 2019Article
- QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools.Tomography (Ann Arbor, Mich.) · 2019Article
- Predictive Values of MRI and PET Derived Quantitative Parameters for Patterns of Failure in Both p16+ and p16- High Risk Head and Neck Cancer.Frontiers in oncology · 2019Article
Corrections and comments
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Authors and funding
29 authors.
David C NewittUniversity of California San Francisco, Department of Radiology and Biomedical Imaging, San Francisco, California, United States.
Dariya MalyarenkoUniversity of Michigan, Department of Radiology, Ann Arbor, Michigan, United States.
Thomas L ChenevertUniversity of Michigan, Department of Radiology, Ann Arbor, Michigan, United States.
C Chad QuarlesBarrow Neurological Institute, Division of Imaging Research, Phoenix, Arizona, United States.
Laura BellBarrow Neurological Institute, Division of Imaging Research, Phoenix, Arizona, United States.
Andriy FedorovHarvard Medical School, Brigham and Women's Hospital, Department of Radiology, Boston, Massachusetts, United States.
Fiona FennessyHarvard Medical School, Brigham and Women's Hospital, Department of Radiology, Boston, Massachusetts, United States.
Michael A JacobsThe Johns Hopkins School of Medicine, Russell H. Morgan Department of Radiology and Radiological Science and Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland, United States.
Meiyappan SolaiyappanThe Johns Hopkins School of Medicine, Russell H. Morgan Department of Radiology and Radiological Science and Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland, United States.
Stefanie HectorsTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, United States.
Bachir TaouliTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, United States.
Mark MuziUniversity of Washington, Department of Radiology, Neurology, and Radiation Oncology, Seattle, Washington, United States.
Paul E KinahanUniversity of Washington, Department of Radiology, Neurology, and Radiation Oncology, Seattle, Washington, United States.
Kathleen M SchmaindaMedical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States.
Melissa A PrahMedical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States.
Erin N TaberOregon Health and Science University, Advanced Imaging Research Center, Portland, Oregon, United States.
Christopher KroenkeOregon Health and Science University, Advanced Imaging Research Center, Portland, Oregon, United States.
Wei HuangOregon Health and Science University, Advanced Imaging Research Center, Portland, Oregon, United States.
Lori R ArlinghausVanderbilt University Medical Center, Vanderbilt University Institute of Imaging Science, Nashville, Tennessee, United States.
Thomas E YankeelovThe University of Texas at Austin, Institute for Computational and Engineering Sciences, Department of Biomedical Engineering and Diagnostic Medicine, Austin, Texas, United States.
Yue CaoUniversity of Michigan, Radiation Oncology, Radiology, and Biomedical Engineering, Ann Arbor, Michigan, United States.
Madhava AryalUniversity of Michigan, Radiation Oncology, Radiology, and Biomedical Engineering, Ann Arbor, Michigan, United States.
Yi-Fen YenHarvard Medical School, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.
Jayashree Kalpathy-CramerHarvard Medical School, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.
Amita Shukla-DaveMemorial Sloan-Kettering Cancer Center, Department of Medical Physics and Radiology, New York, New York, United States.
Maggie FungMemorial Sloan-Kettering Cancer Center, GE Healthcare, New York, New York, United States.
Jiachao LiangHologic Inc., Sunnyvale, California, United States.
Michael BossNational Institute of Standards and Technology, Applied Physics Division, Boulder, Colorado, United States.
Nola HyltonUniversity of California San Francisco, Department of Radiology and Biomedical Imaging, San Francisco, California, United States.
Funding
X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4MTranslational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6MARRA - ADOPT New Technologies for RDC/CDMSU01CA080098 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI SCHNALL, MITCHELL D. · 1999 to 2011
$182.7MBIOSTATISTICS DATA MANAGEMENT CENTER FOR ACROINU01CA079778 · NCI · BROWN UNIVERSITY · PI GATSONIS, CONSTANTINE A. · 1999 to 2011
$48.6MImage Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9MElimination of Instrumental Bias for Quantitative Diffusion Imaging in Clinical Oncology TrialsR01CA190299 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MALYARENKO, DARIYA I. · 2015 to 2025
$6.4MMulti-Modality Quantitiative Imaging for Evaluation of Response to Cancer TherapyU01CA140204 · NCI · JOHNS HOPKINS UNIVERSITY · PI DU, YONG, SOLNES, LILJA · 2011 to 2022
$6.1MAdvanced PET/CT Imaging for Improving Clinical TrialsU01CA148131 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E., LINDEN, HANNAH M · 2010 to 2019
$6.0MMRI CONTRAST AGENT METHODS TO ASSESS TUMOR ANGIOGENESISR01CA082500 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI SCHMAINDA, KATHLEEN MARIE · 2000 to 2016
$5.0MQuantitative (Perfusion and Diffusion) MRI Biomarkers to Measure Glioma ResponseU01CA176110 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI SCHMAINDA, KATHLEEN MARIE · 2014 to 2023
$4.9MReal-time In Vivo MRI Biomarkers for Breast Cancer Pre-Operative Treatment TrialsR01CA132870 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HYLTON-WATSON, NOLA M., NEWITT, DAVID C · 2008 to 2019
$4.8MQuantitative MRI for Predicting Response of Breast Cancer to Neoadjuvant TherapyU01CA142565 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KARCZMAR, GREGORY S., NANDA, RITA · 2010 to 2019
$4.5MNCI NIH HHS P30 CA006973NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA082500NCI NIH HHS R01 CA132870NCI NIH HHS R01 CA158079NCI NIH HHS R01 CA190299NCI NIH HHS R50 CA211270NCI NIH HHS U01 CA079778NCI NIH HHS U01 CA080098NCI NIH HHS U01 CA140204NCI NIH HHS U01 CA142565NCI NIH HHS U01 CA148131NCI NIH HHS U01 CA151235NCI NIH HHS U01 CA151261NCI NIH HHS U01 CA154601NCI NIH HHS U01 CA154602NCI NIH HHS U01 CA166104NCI NIH HHS U01 CA172320NCI NIH HHS U01 CA176110NCI NIH HHS U01 CA183848NCI NIH HHS U01 CA190254NCI NIH HHS U01 CA211205NCI NIH HHS U01 CA225427NCI NIH HHS U24 CA180918NCI NIH HHS U24 CA180927NIBIB NIH HHS P41 EB015898
Abstract
Diffusion weighted MRI has become ubiquitous in many areas of medicine, including cancer diagnosis and treatment response monitoring. Reproducibility of diffusion metrics is essential for their acceptance as quantitative biomarkers in these areas. We examined the variability in the apparent diffusion coefficient (ADC) obtained from both postprocessing software implementations utilized by the NCI Quantitative Imaging Network and online scan time-generated ADC maps. Phantom and
Indexed as
apparent diffusion coefficientbreast MRIreproducibility
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