ArticleMagnetic resonance in medicine2018
Accuracy, repeatability, and interplatform reproducibility of T
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Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
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62citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% of its field
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Who cites it
62 citing papers in PubMed, 1 synthesis or guideline pooled it, 109 citations in OpenAlex.
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- Multiparametric MRI and artificial intelligence for non-invasive HER2 assessment in breast cancer: a comprehensive review.Frontiers in medicine · 2026Review
- Dynamic contrast enhanced-magnetic resonance fingerprinting (DCE-MRF): A new quantitative MRI method to reliably assess tumor vascular perfusion.Magnetic resonance in medicine · 2025Article
- Quantitative MRI Assessment of Bone Marrow Disease in Myelofibrosis: A Prospective Study.Radiology. Imaging cancer · 2025Observational
- 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
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- Accurate and precise in vivo liver 3D TMagnetic resonance in medicine · 2025Article
- Quantitative Magnetic Resonance Imaging (qMRI) of the Small Bowel in Crohn's Disease: State-of-the-Art and Future Directions.Journal of magnetic resonance imaging : JMRI · 2025Review
- Repeatability and reproducibility of rapid TImaging neuroscience (Cambridge, Mass.) · 2025Article
- T1 and T2 measurements across multiple 0.55T MRI systems using open-source vendor-neutral sequences.Magnetic resonance in medicine · 2025Article
- Longitudinal reproducibility of brain and spinal cord quantitative MRI biomarkers.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- A signal model for fat-suppressed TNMR in biomedicine · 2025Article
- An Exploratory Study: Can Native T1 Mapping Differentiate Sarcoma from Benign Soft Tissue Tumors at 1.5 T and 3 T?Cancers · 2024Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
23 authors at 9 institutions in 1 country.
Octavia BaneTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Stefanie J HectorsTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Mathilde WagnerTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Lori L ArlinghausVanderbilt University Medical Center, Nashville, Tennessee, USA.
Madhava P AryalDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
Yue CaoDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
Thomas L ChenevertDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Fiona FennessyDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Wei HuangAdvanced Imaging Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.
Nola M HyltonDepartment of Radiology, University of California-San Francisco, San Francisco, California, USA.
Jayashree Kalpathy-CramerDepartment of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Kathryn E KeenanPhysical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA.
Dariya I MalyarenkoDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Robert V MulkernDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
David C NewittDepartment of Radiology, University of California-San Francisco, San Francisco, California, USA.
Stephen E RussekPhysical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA.
Karl F StupicPhysical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA.
Alina TudoricaDepartment of Radiology, Oregon Health and Science University, Portland, Oregon, USA.
Lisa J WilmesDepartment of Radiology, University of California-San Francisco, San Francisco, California, USA.
Thomas E YankeelovDepartment of Radiology, University of Texas at Austin, Austin, Texas, USA.
Yi-Fei YenDepartment of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Michael A BossPhysical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA.ORCID 0000-0002-9492-767X
Bachir TaouliTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Icahn School of Medicine at Mount Sinai · USNational Institute of Standards and Technology · USUniversity of Michigan · USUniversity of California, San Francisco · USBrigham and Women's Hospital · USMassachusetts General Hospital · USOregon Health & Science University · USThe University of Texas at Austin · USVanderbilt University Medical Center · US
Funding
TRAINING PROGRAM IN CANCER THERAPYT32CA078207 · NCI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI James J Manfredi · 1999 to 2026
$11.6MReal-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
$4.5MQuantitative DW-MRI for Early Breast Cancer Treatment Response AssessmentU01CA166104 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHENEVERT, THOMAS L, GALBAN, CRAIG J · 2012 to 2019
$4.1MQuantitative MRI of Glioblastoma ResponseU01CA154601 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI KALPATHY-CRAMER, JAYASHREE · 2011 to 2016
$3.4MQuantitative Imaging for Assessing Breast Cancer Response to TreatmentU01CA225427 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HYLTON-WATSON, NOLA M. · 2018 to 2022
$3.2MShutter-Speed Model DCE-MRI for Assessment of Response to Cancer TherapyU01CA154602 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI HUANG, WEI, RYAN, CHRISTOPHER WALTER · 2011 to 2015
$2.9MQuantitative Imaging for Assessing Breast Cancer Response to TreatmentU01CA151235 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HYLTON-WATSON, NOLA M. · 2011 to 2015
$2.8MEvaluation of HCC Response to Systemic Therapy with Quantitative MRIU01CA172320 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TAOULI, BACHIR · 2013 to 2017
$2.6MQuantitative MRI models of HN Cancers for Physiological Adaption of RTU01CA183848 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CAO, YUE · 2014 to 2019
$2.0MQuantitiative MRI of prostate cancer as a biomarker and guide for treatmentU01CA151261 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI FENNESSY, FIONA · 2010 to 2014
$1.8MDetection of Liver Fibrosis Using IVIM Diffusion and DCE MRI in HCVR01DK087877 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TAOULI, BACHIR · 2010 to 2014
$1.8MNCI NIH HHS R01 CA132870NCI NIH HHS T32 CA078207NCI NIH HHS U01 CA142565NCI 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 CA183848NCI NIH HHS U01 CA225427NIDDK NIH HHS R01 DK087877
Abstract
purposeTo determine the in vitro accuracy, test-retest repeatability, and interplatform reproducibility of T
methodsA T
resultsFor the common IR-SE protocol, accuracy (median error across platforms = 1.4-5.5%) was influenced predominantly by T
conclusionsThe VFA protocols with 2 to 3 flip angles optimized for different applications achieved acceptable balance of extensive spatial coverage, accuracy, and repeatability in T
Indexed as
Magnetic Resonance ImagingPhantoms, ImagingSignal Processing, Computer-AssistedBrainBreastContrast MediaFemaleHumansImage Interpretation, Computer-AssistedMaleNeoplasmsProstateReproducibility of ResultsContrast MediaDCE-MRImulticenterphantomT1 mapping
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.