Evidence map›Paper›PMID 32280748›Full record

ArticleTomography (Ann Arbor, Mich.)2020

Microstructure Modeling of High b-Value Diffusion-Weighted Images in Glioblastoma.

Yuan Li, Michelle Kim, Theodore S Lawrence, Hemant Parmar, Yue Cao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 52% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Yuan LiDepartments of Radiation Oncology, Radiology, and Biomedical Engineering, University of Michigan, Ann Arbor, MI.
Michelle KimDepartments of Radiation Oncology, Radiology, and Biomedical Engineering, University of Michigan, Ann Arbor, MI.
Theodore S LawrenceDepartments of Radiation Oncology, Radiology, and Biomedical Engineering, University of Michigan, Ann Arbor, MI.
Hemant ParmarDepartments of Radiation Oncology, Radiology, and Biomedical Engineering, University of Michigan, Ann Arbor, MI.
Yue CaoDepartments of Radiation Oncology, Radiology, and Biomedical Engineering, University of Michigan, Ann Arbor, MI.
University of Michigan–Ann Arbor · US

Funding

Quantitative MRI models of HN Cancers for Physiological Adaption of RTU01CA183848 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CAO, YUE · 2014 to 2019
$2.0M
NCI NIH HHS U01 CA183848
6 · The paper itself

Abstract

Apparent diffusion coefficient has limits to differentiate solid tumor from normal tissue or edema in glioblastoma (GBM). This study investigated a microstructure model (MSM) in GBM using a clinically available diffusion imaging technique. The MSM was modified to integrate with bi-polar diffusion gradient waveforms, and applied to 30 patients with newly diagnosed GBM. Diffusion-weighted (DW) images acquired on a 3 T scanner with b-values from 0 to 2500 s/mm

Indexed as

AgedAged, 80 and overDiffusion Magnetic Resonance ImagingFemaleGlioblastomaHumansMaleMiddle AgedModels, TheoreticalDiffusion-weighted imagingglioblastomahigh-order diffusion MR methodsquantitation

Identifiers

PMID32280748
PMCPMC7138521
OpenAlexW3023080032

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.