Evidence map›Paper›PMID 29380461›Full record

ArticleJournal of magnetic resonance imaging : JMRI2018

Quantitative susceptibility mapping (QSM) as a means to monitor cerebral hematoma treatment.

Yuyao Zhang, Hongjiang Wei, Yawen Sun, Matthew J Cronin, Naying He, Jianrong Xu, Yan Zhou, Chunlei Liu

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. A probabilistic Bayesian approach to recoverMagnetic resonance in medicine · 2022
    Article
  4. Article
  5. Article
  6. [Reproducibility analysis of quantitative susceptibility mapping of cerebral subcortical nuclei in healthy adults].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020
    Article
  7. 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

8 authors at 2 institutions in 2 countries.

Yuyao ZhangDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA.
Hongjiang WeiDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA.
Yawen SunDepartment of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Matthew J CroninDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA.
Naying HeDepartment of Radiology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jianrong XuDepartment of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yan ZhouDepartment of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Chunlei LiuDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA.ORCID 0000-0001-8816-4832
Shanghai Jiao Tong University · CNUniversity of California, Berkeley · US

Funding

Ultra-Resolution Imaging of Brain Circuitry and its Development in Mental HealthR01MH096979 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIU, CHUNLEI · 2013 to 2017
$1.8M
Medical Engineering Cross Research Foundation of Shanghai Jiao Tong University YG2017QN47National Natural Science Foundation of China 81571650NIH HHS NIMH R01MH096979NIMH NIH HHS R01 MH096979Research Seed Fund of Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University RJZZ17-016Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support 20172013Shanghai Science and Technology Committee Medical Guide Project 17411964300
6 · The paper itself

Abstract

backgroundQuantitative susceptibility mapping (QSM) offers a consistent hemorrhage volume measurement independent of imaging parameters. PURPOSE: To investigate the magnetic susceptibility of intracerebral hemorrhage (ICH) as a quantitative measurement for monitoring treatment in hematoma patients. STUDY TYPE: Prospective. POPULATION: Twenty-six patients with acute ICH were recruited and enrolled in treatment including surgery or medication (mannitol) for 1 week. FIELD STRENGTH/SEQUENCE: A 3D gradient echo sequence at 3.0T. ASSESSMENT: The hematoma volumes on computed tomography (CT) and QSM were calculated and used for correlation analysis. Magnetic susceptibility changes from pre- to posttreatment were calculated and compared to the National Institutes of Health stroke scale (NIHSS) measure of neurological deficit for each patient. STATISTICAL TESTS: Mean susceptibility values were calculated over each region of interest (ROI). A one-sample t-test was used to assess the changes of total volumes and mean magnetic susceptibility of ICH identified between pre- and posttreatment images (P < 0.05 was considered significant) and the Bland-Altman analysis with 95% limits of agreement (average difference, ±1.96 SD of the difference). Regression of volume measurements on QSM vs. CT and fitted linear regression of mean susceptibility vs. CT signal intensity for hematoma regions were conducted in all patients.

resultsGood correlation was found between hemorrhage volumes calculated from CT and QSM (CT volume = 0.94*QSM volume, r = 0.98). Comparison of QSM pre- and posttreatment showed that the mean ICH volume was reduced by a statistically insignificant amount from 5.74 cm DATA

conclusionsQSM in hematoma assessment, as compared with CT, offers a comparably accurate volume measurement; however, susceptibility measurements may enable improved monitoring of ICH treatment compared to volume measurements alone. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;48:907-915.

Indexed as

Magnetic Resonance ImagingAdolescentAdultAgedAged, 80 and overCerebral HemorrhageFemaleHematomaHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMaleMiddle AgedObserver VariationProspective StudiesRegression Analysiscomputed tomographyhematoma volumeintracerebral hemorrhagemagnetic resonance imagingquantitative susceptibility mapping

Identifiers

PMID29380461
PMCPMC6066470
OpenAlexW2793389165

What OpenQuestion holds

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LicenceTDM
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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.