Literature DB >> 29380461

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

Yuyao Zhang1, Hongjiang Wei1, Yawen Sun2, Matthew J Cronin1, Naying He3, Jianrong Xu2, Yan Zhou2, Chunlei Liu1,4.   

Abstract

BACKGROUND: Quantitative 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.
RESULTS: Good 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 cm3 to 5.45 cm3 (P = 0.21), while mean magnetic susceptibility was reduced significantly from 0.48 ppm to 0.38 ppm (P = 0.004). A significant positive association was found between changes in magnetic susceptibility values and NIHSS following hematoma treatment (P < 0.01). DATA
CONCLUSIONS: QSM 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.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  computed tomography; hematoma volume; intracerebral hemorrhage; magnetic resonance imaging; quantitative susceptibility mapping

Mesh:

Year:  2018        PMID: 29380461      PMCID: PMC6066470          DOI: 10.1002/jmri.25957

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  39 in total

1.  Simultaneous quantitative mapping of conductivity and susceptibility using a double-echo ultrashort echo time sequence: Example using a hematoma evolution study.

Authors:  Sung-Min Gho; Jaewook Shin; Min-Oh Kim; Dong-Hyun Kim
Journal:  Magn Reson Med       Date:  2015-08-24       Impact factor: 4.668

2.  Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range.

Authors:  Hongjiang Wei; Russell Dibb; Yan Zhou; Yawen Sun; Jianrong Xu; Nian Wang; Chunlei Liu
Journal:  NMR Biomed       Date:  2015-08-27       Impact factor: 4.044

3.  Investigating magnetic susceptibility of human knee joint at 7 Tesla.

Authors:  Hongjiang Wei; Russell Dibb; Kyle Decker; Nian Wang; Yuyao Zhang; Xiaopeng Zong; Weili Lin; Daniel B Nissman; Chunlei Liu
Journal:  Magn Reson Med       Date:  2017-01-17       Impact factor: 4.668

4.  Quantitative Susceptibility Mapping of Intracerebral Hemorrhages at Various Stages.

Authors:  Shixin Chang; Jingwei Zhang; Tian Liu; Apostolos John Tsiouris; Jian Shou; Thanh Nguyen; Dana Leifer; Yi Wang; Ilhami Kovanlikaya
Journal:  J Magn Reson Imaging       Date:  2015-12-31       Impact factor: 4.813

5.  Imaging Cerebral Microhemorrhages in Military Service Members with Chronic Traumatic Brain Injury.

Authors:  Wei Liu; Karl Soderlund; Justin S Senseney; David Joy; Ping-Hong Yeh; John Ollinger; Elyssa B Sham; Tian Liu; Yi Wang; Terrence R Oakes; Gerard Riedy
Journal:  Radiology       Date:  2015-09-15       Impact factor: 11.105

6.  Quantitative Susceptibility Mapping in Cerebral Cavernous Malformations: Clinical Correlations.

Authors:  H Tan; L Zhang; A G Mikati; R Girard; O Khanna; M D Fam; T Liu; Y Wang; R R Edelman; G Christoforidis; I A Awad
Journal:  AJNR Am J Neuroradiol       Date:  2016-03-10       Impact factor: 3.825

Review 7.  Magnetic susceptibility anisotropy outside the central nervous system.

Authors:  Russell Dibb; Luke Xie; Hongjiang Wei; Chunlei Liu
Journal:  NMR Biomed       Date:  2016-05-16       Impact factor: 4.044

8.  Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study.

Authors:  Christian Langkammer; Ferdinand Schweser; Nikolaus Krebs; Andreas Deistung; Walter Goessler; Eva Scheurer; Karsten Sommer; Gernot Reishofer; Kathrin Yen; Franz Fazekas; Stefan Ropele; Jürgen R Reichenbach
Journal:  Neuroimage       Date:  2012-05-24       Impact factor: 6.556

Review 9.  Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker.

Authors:  Yi Wang; Tian Liu
Journal:  Magn Reson Med       Date:  2014-07-17       Impact factor: 4.668

Review 10.  Management of intracerebral hemorrhage.

Authors:  Ramandeep Sahni; Jesse Weinberger
Journal:  Vasc Health Risk Manag       Date:  2007
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  2 in total

1.  Quantitative susceptibility-weighted imaging may be an accurate method for determining stroke hypoperfusion and hypoxia of penumbra.

Authors:  Xiudi Lu; Linglei Meng; Yongmin Zhou; Shaoshi Wang; Miller Fawaz; Meiyun Wang; E Mark Haacke; Chao Chai; Meizhu Zheng; Jinxia Zhu; Yu Luo; Shuang Xia
Journal:  Eur Radiol       Date:  2021-01-29       Impact factor: 5.315

2.  Predictive value of thrombus susceptibility for cardioembolic stroke by quantitative susceptibility mapping.

Authors:  Jie Chen; Zhe Zhang; Ximing Nie; Yuyuan Xu; Chunlei Liu; Xingquan Zhao; Yongjun Wang
Journal:  Quant Imaging Med Surg       Date:  2022-01
  2 in total

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