ArticleTomography (Ann Arbor, Mich.)2019
The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge, Part II.
Open access · goldAbstract readMulticenter Study
In one paragraph
Article in Tomography (Ann Arbor, Mich.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.8field-weighted citation impact, top 3% of its field
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
15 citing papers in PubMed, 81 citations in OpenAlex.
- Quantitative dynamic contrast-enhanced magnetic resonance imaging for renal perfusion measurement in autosomal dominant polycystic kidney disease.Quantitative imaging in medicine and surgery · 2026Article
- Added value of slow diffusion coefficient (SDC) for the separation of benign and malignant parotid gland tumors by diffusion weighted imaging: preliminary results.BMC medical imaging · 2025Article
- Toward a Refined PI-RADS: The Feasibility and Limitations of More Informative Metrics in Reviewing MRI Scans.Journal of magnetic resonance imaging : JMRI · 2025Review
- Detecting pseudo versus true progression of glioblastoma via accurate quantitative DCE-MRI using point-of-care portable perfusion phantoms: a pilot study.Quantitative imaging in medicine and surgery · 2025Article
- A Deep Learning-Based Framework for Highly Accelerated Prostate MR Dispersion Imaging.Cancers · 2024Article
- Higher perfusion of rectum carcinoma relative to tumor-free rectal wall: quantification by a new imaging biomarker diffusion-derived vessel density (DDVD).Quantitative imaging in medicine and surgery · 2024Article
- Implementation and evaluation of a dynamic contrast-enhanced MR perfusion protocol for glioblastoma using a 0.35 T MRI-Linac system.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2024Article
- Dynamic contrast-enhanced MRI shows altered blood-brain barrier function of deep gray matter structures in neuroborreliosis: a case-control study.European radiology experimental · 2023Article
- PET AIF estimation when available ROI data is impacted by dispersive and/or background effects.Physics in medicine and biology · 2023Article
- Semi-quantitative and quantitative dynamic contrast-enhanced (DCE) MRI parameters as prostate cancer imaging biomarkers for biologically targeted radiation therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022Article
- Maximum Entropy Technique and Regularization Functional for Determining the Pharmacokinetic Parameters in DCE-MRI.Journal of digital imaging · 2022Article
- Modified Maximum Entropy Method and Estimating the AIF via DCE-MRI Data Analysis.Entropy (Basel, Switzerland) · 2022Article
- Intrasession Reliability of Arterial Spin-Labeled MRI-Measured Noncontrast Perfusion in Glioblastoma at 3 T.Tomography (Ann Arbor, Mich.) · 2020Article
- Quantitative Imaging Enters the Clinical Arena: A Personal Viewpoint.Tomography (Ann Arbor, Mich.) · 2020Article
- Assessment of tumor treatment response using active contrast encoding (ACE)-MRI: Comparison with conventional DCE-MRI.PloS one · 2020Article
Corrections and comments
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Authors and funding
29 authors at 13 institutions in 2 countries.
Wei HuangOregon Health and Science University, Portland, OR.
Yiyi ChenOregon Health and Science University, Portland, OR.
Andriy FedorovBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Xia LiGeneral Electric Global Research, Niskayuna, NY.
Guido H JajamovichIcahn School of Medicine at Mt Sinai, New York, NY.
Dariya I MalyarenkoUniversity of Michigan, Ann Arbor, MI.
Madhava P AryalUniversity of Michigan, Ann Arbor, MI.
Peter S LaVioletteMedical College of Wisconsin, Milwaukee, WI.
Matthew J OborskiUniversity of Pittsburgh, Pittsburgh, PA.
Finbarr O'SullivanUniversity College, Cork, Ireland.
Richard G AbramsonVanderbilt University, Nashville, TN.
Kourosh Jafari-KhouzaniMassachusetts General Hospital and Harvard Medical School, Boston, MA.
Aneela AfzalOregon Health and Science University, Portland, OR.
Alina TudoricaOregon Health and Science University, Portland, OR.
Brendan MoloneyOregon Health and Science University, Portland, OR.
Sandeep N GuptaGeneral Electric Global Research, Niskayuna, NY.
Cecilia BesaIcahn School of Medicine at Mt Sinai, New York, NY.
Jayashree Kalpathy-CramerMassachusetts General Hospital and Harvard Medical School, Boston, MA.
James M MountzUniversity of Pittsburgh, Pittsburgh, PA.
Charles M LaymonUniversity of Pittsburgh, Pittsburgh, PA.
Mark MuziUniversity of Washington, Seattle, WA; and.
Paul E KinahanUniversity of Washington, Seattle, WA; and.
Kathleen SchmaindaMedical College of Wisconsin, Milwaukee, WI.
Yue CaoUniversity of Michigan, Ann Arbor, MI.
Thomas L ChenevertUniversity of Michigan, Ann Arbor, MI.
Bachir TaouliIcahn School of Medicine at Mt Sinai, New York, NY.
Thomas E YankeelovThe University of Texas, Austin, TX.
Fiona FennessyBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Xin LiOregon Health and Science University, Portland, OR.
Oregon Health & Science University · USUniversity of Michigan–Ann Arbor · USIcahn School of Medicine at Mount Sinai · USUniversity of Pittsburgh · USBrigham and Women's Hospital · USMedical College of Wisconsin · USUniversity of Washington · USGeneral Electric (United States) · USHarvard University · USMassachusetts General Hospital · USThe University of Texas at Austin · USUniversity College Cork · IEVanderbilt University · US
Funding
Image 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
$18.9MAdvanced PET/CT Imaging for Improving Clinical TrialsU01CA148131 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E., LINDEN, HANNAH M · 2010 to 2019
$6.0MQuantitative (Perfusion and Diffusion) MRI Biomarkers to Measure Glioma ResponseU01CA176110 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI SCHMAINDA, KATHLEEN MARIE · 2014 to 2023
$4.9MQuantitative 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
$4.1MInformatics Tools for Optimized Imaging Biomarkers for Cancer Research&DiscoveryU24CA180927 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI KALPATHY-CRAMER, JAYASHREE, ROSEN, BRUCE R · 2014 to 2018
$3.4MQuantitative MRI of Glioblastoma ResponseU01CA154601 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI KALPATHY-CRAMER, JAYASHREE · 2011 to 2016
$3.4MShutter-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
$2.9MEvaluation of HCC Response to Systemic Therapy with Quantitative MRIU01CA172320 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TAOULI, BACHIR · 2013 to 2017
$2.6MCore Laboratory for Advanced PET and MRI image analysisR50CA211270 · NCI · UNIVERSITY OF WASHINGTON · PI Mark Muzi · 2017 to 2026
$2.6MQuantitative Biomarker Imaging for Early Therapy Response Assessment in CancerU01CA140230 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MOUNTZ, JAMES M. · 2009 to 2013
$2.1MQuantitative MRI models of HN Cancers for Physiological Adaption of RTU01CA183848 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CAO, YUE · 2014 to 2019
$2.0MNCI NIH HHS R50 CA211270NCI NIH HHS U01 CA140230NCI NIH HHS U01 CA142565NCI NIH HHS U01 CA148131NCI 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 U24 CA180927NIBIB NIH HHS P41 EB015898
Abstract
This multicenter study evaluated the effect of variations in arterial input function (AIF) determination on pharmacokinetic (PK) analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data using the shutter-speed model (SSM). Data acquired from eleven prostate cancer patients were shared among nine centers. Each center used a site-specific method to measure the individual AIF from each data set and submitted the results to the managing center. These AIFs, their reference tissue-adjusted variants, and a literature population-averaged AIF, were used by the managing center to perform SSM PK analysis to estimate K
Indexed as
AlgorithmsArteriesContrast MediaHumansImage Interpretation, Computer-AssistedInformation DisseminationMagnetic Resonance ImagingMaleModels, BiologicalNeovascularization, PathologicProstatic NeoplasmsReproducibility of ResultsContrast Mediaarterial input functionDCE-MRIprostateshutter-speed modelvariation
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What OpenQuestion holds
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LicenceCC BY-NC-ND
Read underepoch 390
Registered trials
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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.