Evidence map›Paper›PMID 24587040›Full record

ArticlePloS one2014

Reproducibility of magnetic resonance perfusion imaging.

Xiaomeng Zhang, Mark D Pagel, Amanda F Baker, Robert J Gillies

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Preclinical in-vivo cerebrovascular imaging in rodent models: Methods and applications in Alzheimer's disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  2. Article
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  8. Biomarkers in preclinical cancer imaging.European journal of nuclear medicine and molecular imaging · 2015
    Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xiaomeng ZhangBiomedical Engineering Graduate Interdisciplinary Program, University of Arizona, Tucson, Arizona, United States of America ; H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, United States of America.
Mark D PagelBiomedical Engineering Graduate Interdisciplinary Program, University of Arizona, Tucson, Arizona, United States of America ; Department of Chemistry and Biochemistry, University of Arizona, Tucson, Arizona, United States of America ; University of Arizona Cancer Center, University of Arizona, Tucson, Arizona, United States of America.
Amanda F BakerUniversity of Arizona Cancer Center, University of Arizona, Tucson, Arizona, United States of America ; Hematology/Oncology Section, College of Medicine, University of Arizona, Tucson, Arizona, United States of America.
Robert J GilliesH. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, United States of America.

Funding

SPORE in Gastrointestinal CancerP50CA095060 · NCI · UNIVERSITY OF ARIZONA · PI GERNER, EUGENE W · 2002 to 2012
$25.3M
Therapeutic Targeting of Hypoxic and Oxidative StressP01CA017094 · NCI · UNIVERSITY OF ARIZONA · PI DORR, ROBERT T · 1985 to 2011
$13.7M
Causes & Consequences of Acid pH in TumorsR01CA077575 · NCI · UNIVERSITY OF ARIZONA · PI GILLIES, ROBERT J. · 1999 to 2018
$8.5M
Imaging Biomarkers for Response to Anti-Cancer TherapyR01CA125627 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI BAKER, AMANDA F, GILLIES, ROBERT J. · 2008 to 2012
$1.7M
NCI NIH HHS P01 CA017094NCI NIH HHS P50 CA095060NCI NIH HHS P50 CA95060NCI NIH HHS R01 CA 077575NCI NIH HHS R01 CA077575NCI NIH HHS R01 CA 125627NCI NIH HHS R01 CA125627
6 · The paper itself

Abstract

Dynamic MR biomarkers (T2*-weighted or susceptibility-based and T1-weighted or relaxivity-enhanced) have been applied to assess tumor perfusion and its response to therapies. A significant challenge in the development of reliable biomarkers is a rigorous assessment and optimization of reproducibility. The purpose of this study was to determine the measurement reproducibility of T1-weighted dynamic contrast-enhanced (DCE)-MRI and T2*-weighted dynamic susceptibility contrast (DSC)-MRI with two contrast agents (CA) of different molecular weight (MW): gadopentetate (Gd-DTPA, 0.5 kDa) and Gadomelitol (P792, 6.5 kDa). Each contrast agent was tested with eight mice that had subcutaneous MDA-MB-231 breast xenograft tumors. Each mouse was imaged with a combined DSC-DCE protocol three times within one week to achieve measures of reproducibility. DSC-MRI results were evaluated with a contrast to noise ratio (CNR) efficiency threshold. There was a clear signal drop (>95% probability threshold) in the DSC of normal tissue, while signal changes were minimal or non-existent (<95% probability threshold) in tumors. Mean within-subject coefficient of variation (wCV) of relative blood volume (rBV) in normal tissue was 11.78% for Gd-DTPA and 6.64% for P792. The intra-class correlation coefficient (ICC) of rBV in normal tissue was 0.940 for Gd-DTPA and 0.978 for P792. The inter-subject correlation coefficient was 0.092. Calculated K(trans) from DCE-MRI showed comparable reproducibility (mean wCV, 5.13% for Gd-DTPA, 8.06% for P792). ICC of K(trans) showed high intra-subject reproducibility (ICC = 0.999/0.995) and inter-subject heterogeneity (ICC = 0.774). Histograms of K(trans) distributions for three measurements had high degrees of overlap (sum of difference of the normalized histograms <0.01). These results represent homogeneous intra-subject measurement and heterogeneous inter-subject character of biological population, suggesting that perfusion MRI could be an imaging biomarker to monitor or predict response of disease.

Indexed as

AnimalsArea Under CurveBreast NeoplasmsCell Line, TumorContrast MediaFemaleHumansMagnetic Resonance AngiographyMiceReproducibility of ResultsContrast Media

Identifiers

PMID24587040
PMCPMC3934952

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.