Evidence map›Paper›PMID 26035586›Full record

ArticleRadiology2015

Differentiation of Low- and High-Grade Pediatric Brain Tumors with High b-Value Diffusion-weighted MR Imaging and a Fractional Order Calculus Model.

Yi Sui, He Wang, Guanzhong Liu, Frederick W Damen, Christian Wanamaker, Yuhua Li, Xiaohong Joe Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

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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

70 citing papers in PubMed.

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10 more citing papers are in PubMed but not listed here.

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

7 authors.

Yi SuiFrom the Center for MR Research (Y.S., G.L., F.W.D., X.J.Z.) and Departments of Radiology (C.W., X.J.Z.), Neurosurgery (X.J.Z.), and Bioengineering (Y.S., X.J.Z.), University of Illinois Hospital & Health Sciences System, 1801 W Taylor St, MC-707, Suite 1A, Chicago, IL 60612; Applied Science Laboratory, GE Healthcare, Shanghai, China (H.W.); and Department of Radiology, Xinhua Hospital, Shanghai, China (Y.L.).
He WangFrom the Center for MR Research (Y.S., G.L., F.W.D., X.J.Z.) and Departments of Radiology (C.W., X.J.Z.), Neurosurgery (X.J.Z.), and Bioengineering (Y.S., X.J.Z.), University of Illinois Hospital & Health Sciences System, 1801 W Taylor St, MC-707, Suite 1A, Chicago, IL 60612; Applied Science Laboratory, GE Healthcare, Shanghai, China (H.W.); and Department of Radiology, Xinhua Hospital, Shanghai, China (Y.L.).
Guanzhong LiuFrom the Center for MR Research (Y.S., G.L., F.W.D., X.J.Z.) and Departments of Radiology (C.W., X.J.Z.), Neurosurgery (X.J.Z.), and Bioengineering (Y.S., X.J.Z.), University of Illinois Hospital & Health Sciences System, 1801 W Taylor St, MC-707, Suite 1A, Chicago, IL 60612; Applied Science Laboratory, GE Healthcare, Shanghai, China (H.W.); and Department of Radiology, Xinhua Hospital, Shanghai, China (Y.L.).
Frederick W DamenFrom the Center for MR Research (Y.S., G.L., F.W.D., X.J.Z.) and Departments of Radiology (C.W., X.J.Z.), Neurosurgery (X.J.Z.), and Bioengineering (Y.S., X.J.Z.), University of Illinois Hospital & Health Sciences System, 1801 W Taylor St, MC-707, Suite 1A, Chicago, IL 60612; Applied Science Laboratory, GE Healthcare, Shanghai, China (H.W.); and Department of Radiology, Xinhua Hospital, Shanghai, China (Y.L.).
Christian WanamakerFrom the Center for MR Research (Y.S., G.L., F.W.D., X.J.Z.) and Departments of Radiology (C.W., X.J.Z.), Neurosurgery (X.J.Z.), and Bioengineering (Y.S., X.J.Z.), University of Illinois Hospital & Health Sciences System, 1801 W Taylor St, MC-707, Suite 1A, Chicago, IL 60612; Applied Science Laboratory, GE Healthcare, Shanghai, China (H.W.); and Department of Radiology, Xinhua Hospital, Shanghai, China (Y.L.).
Yuhua LiFrom the Center for MR Research (Y.S., G.L., F.W.D., X.J.Z.) and Departments of Radiology (C.W., X.J.Z.), Neurosurgery (X.J.Z.), and Bioengineering (Y.S., X.J.Z.), University of Illinois Hospital & Health Sciences System, 1801 W Taylor St, MC-707, Suite 1A, Chicago, IL 60612; Applied Science Laboratory, GE Healthcare, Shanghai, China (H.W.); and Department of Radiology, Xinhua Hospital, Shanghai, China (Y.L.).
Xiaohong Joe ZhouFrom the Center for MR Research (Y.S., G.L., F.W.D., X.J.Z.) and Departments of Radiology (C.W., X.J.Z.), Neurosurgery (X.J.Z.), and Bioengineering (Y.S., X.J.Z.), University of Illinois Hospital & Health Sciences System, 1801 W Taylor St, MC-707, Suite 1A, Chicago, IL 60612; Applied Science Laboratory, GE Healthcare, Shanghai, China (H.W.); and Department of Radiology, Xinhua Hospital, Shanghai, China (Y.L.).

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR029879 · NCRR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MAZZONE, THEODORE · 2009 to 2011
$11.0M
A High-End 3 Tesla Human MRI Scanner Dedicated to ResearchS10RR028898 · NCRR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ZHOU, XIAOHONG JOE · 2010 to 2010
$2.9M
Validation of the NINDS VCI Neuropsychology ProtocolsR01NS057514 · NINDS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI NYENHUIS, DAVID L · 2007 to 2009
$1.5M
NCRR NIH HHS S10 RR028898NCRR NIH HHS UL1 RR029879NINDS NIH HHS R01 NS057514
6 · The paper itself

Abstract

purposeTo demonstrate that a new set of parameters (D, β, and μ) from a fractional order calculus (FROC) diffusion model can be used to improve the accuracy of MR imaging for differentiating among low- and high-grade pediatric brain tumors. MATERIALS AND

methodsThe institutional review board of the performing hospital approved this study, and written informed consent was obtained from the legal guardians of pediatric patients. Multi-b-value diffusion-weighted magnetic resonance (MR) imaging was performed in 67 pediatric patients with brain tumors. Diffusion coefficient D, fractional order parameter β (which correlates with tissue heterogeneity), and a microstructural quantity μ were calculated by fitting the multi-b-value diffusion-weighted images to an FROC model. D, β, and μ values were measured in solid tumor regions, as well as in normal-appearing gray matter as a control. These values were compared between the low- and high-grade tumor groups by using the Mann-Whitney U test. The performance of FROC parameters for differentiating among patient groups was evaluated with receiver operating characteristic (ROC) analysis.

resultsNone of the FROC parameters exhibited significant differences in normal-appearing gray matter (P ≥ .24), but all showed a significant difference (P < .002) between low- (D, 1.53 μm(2)/msec ± 0.47; β, 0.87 ± 0.06; μ, 8.67 μm ± 0.95) and high-grade (D, 0.86 μm(2)/msec ± 0.23; β, 0.73 ± 0.06; μ, 7.8 μm ± 0.70) brain tumor groups. The combination of D and β produced the largest area under the ROC curve (0.962) in the ROC analysis compared with individual parameters (β, 0.943; D,0.910; and μ, 0.763), indicating an improved performance for tumor differentiation.

conclusionThe FROC parameters can be used to differentiate between low- and high-grade pediatric brain tumor groups. The combination of FROC parameters or individual parameters may serve as in vivo, noninvasive, and quantitative imaging markers for classifying pediatric brain tumors.

Indexed as

AdolescentBrain NeoplasmsChildChild, PreschoolContrast MediaDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleHumansImage Interpretation, Computer-AssistedInfantMaleNeoplasm GradingSensitivity and SpecificityContrast Media

Identifiers

PMID26035586
PMCPMC4627432

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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.