Evidence map›Paper›PMID 33338562›Full record

ReviewMagnetic resonance imaging2021

MR cell size imaging with temporal diffusion spectroscopy.

Xiaoyu Jiang, Hua Li, Sean P Devan, John C Gore, Junzhong Xu

Open access · greenAbstract readReview
In one paragraph

Review in Magnetic resonance imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

31 citing papers in PubMed, 47 citations in OpenAlex.

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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 3 institutions in 1 country.

Xiaoyu JiangInstitute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Hua LiGeneral Electric Healthcare, Waukesha, WI 53188, USA.
Sean P DevanInstitute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
John C GoreInstitute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA; Department of Physics and Astronomy, Vanderbilt University, Nashville, TN 37232, USA.
Junzhong XuInstitute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA; Department of Physics and Astronomy, Vanderbilt University, Nashville, TN 37232, USA. Electronic address: junzhong.xu@vanderbilt.edu.
Vanderbilt University Medical Center · USGeneral Electric (United States) · USVanderbilt University · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Quantitative MRI for Predicting Response of Breast Cancer to Neoadjuvant TherapyU01CA142565 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KARCZMAR, GREGORY S., NANDA, RITA · 2010 to 2019
$4.5M
MRI Diffusion in Tumors Using Oscillating GradientsR01CA109106 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI XU, JUNZHONG · 2006 to 2022
$4.0M
Replacement and Upgrade of a 3T MR Scanner for ResearchS10OD021771 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2016 to 2016
$2.0M
Comprehensive Evaluation of OGSE DWI for Assessing Tumor Treatment ResponseR01CA173593 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2013 to 2017
$1.3M
Assessment of Tumor Early Response to Treatment by Diffusion MRIK25CA168936 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI XU, JUNZHONG · 2013 to 2017
$728k
Early assessment of radiation response in brain tumors using quantitative temporal diffusion spectroscopyF32CA216942 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JIANG, XIAOYU · 2017 to 2018
$77k
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NCI NIH HHS F32 CA216942NCI NIH HHS K25 CA168936NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA109106NCI NIH HHS R01 CA173593NCI NIH HHS U01 CA142565NICHD NIH HHS P50 HD103537NIH HHS S10 OD021771
6 · The paper itself

Abstract

Cytological features such as cell size and intracellular morphology provide fundamental information on cell status and hence may provide specific information on changes that arise within biological tissues. Such information is usually obtained by invasive biopsy in current clinical practice, which suffers several well-known disadvantages. Recently, novel MRI methods such as IMPULSED (imaging microstructural parameters using limited spectrally edited diffusion) have been developed for direct measurements of mean cell size non-invasively. The IMPULSED protocol is based on using temporal diffusion spectroscopy (TDS) to combine measurements of water diffusion over a wide range of diffusion times to probe cellular microstructure over varying length scales. IMPULSED has been shown to provide rapid, robust, and reliable mapping of mean cell size and is suitable for clinical imaging. More recently, cell size distributions have also been derived by appropriate analyses of data acquired with IMPULSED or similar sequences, which thus provides MRI-cytometry. This review summarizes the basic principles, practical implementations, validations, and example applications of MR cell size imaging based on TDS and demonstrates how cytometric information can be used in various applications. In addition, the limitations and potential future directions of MR cytometry are identified including the diagnosis of nonalcoholic steatohepatitis of the liver and the assessment of treatment response of cancers.

Indexed as

Cell SizeSpectrum AnalysisDiffusionHumansMagnetic Resonance ImagingCell sizeCytometryDiffusiondMRIIMPULSEDMRIOscillating gradient

Identifiers

PMID33338562
PMCPMC7878439
OpenAlexW3110740286

What OpenQuestion holds

Textmetadata
LicenceTDM
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.