Literature DB >> 25789581

Susceptibility Weighted Imaging and Mapping of Micro-Hemorrhages and Major Deep Veins after Traumatic Brain Injury.

Jun Liu1,2, Shuang Xia3, Robin Hanks4, Natalie Wiseman5, Changya Peng6, Shunke Zhou1, E Mark Haacke2,7, Zhifeng Kou2,7.   

Abstract

Micro-hemorrhages are a common result of traumatic brain injury (TBI), which can be quantified with susceptibility weighted imaging and mapping (SWIM), a quantitative susceptibility mapping approach. A total of 23 TBI patients (five women, 18 men; median age, 41.25 years old; range, 21.69-67.75 years) with an average Glasgow Coma Scale score of 7 (range, 3-15) at admission were recruited at mean 149 d (range, 57-366) after injury. Susceptibility-weighted imaging data were collected and post-processed to create SWIM images. The susceptibility value of small hemorrhages (diameter ≤10 mm) and major deep veins (right septal, left septal, central septal, right thalamostriate, left thalamostriate, internal cerebral, right basal vein of Rosenthal, left basal vein of Rosenthal, and pial veins) were evaluated. Different susceptibility thresholds were tested to determine SWIM's sensitivity and specificity for differentiating hemorrhages from the veins. A total of 253 deep veins and 173 small hemorrhages were identified and evaluated. The mean susceptibility of hemorrhages was 435±206 parts per billion (ppb) and the mean susceptibility of deep veins was 108±56 ppb. Hemorrhages showed a significantly higher susceptibility than all deep veins (p<0.001). With different thresholds (250, 227 and 200 ppb), the specificity was 97%, 95%, and 92%, and the sensitivity was 84%, 90%, and 92%, respectively. These results show that SWIM could be used to differentiate hemorrhages from veins in TBI patients in a semi-automated manner with reasonable sensitivity and specificity. A larger cohort will be needed to validate these findings.

Entities:  

Keywords:  cerebral microbleeds (CMBs); quantitative susceptibility mapping (QSM); susceptibility weighted imaging; susceptibility weighted imaging and mapping (SWIM); traumatic brain injury

Mesh:

Substances:

Year:  2015        PMID: 25789581     DOI: 10.1089/neu.2014.3856

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  15 in total

Review 1.  Susceptibility-based time-resolved whole-organ and regional tissue oximetry.

Authors:  Felix W Wehrli; Audrey P Fan; Zachary B Rodgers; Erin K Englund; Michael C Langham
Journal:  NMR Biomed       Date:  2016-02-26       Impact factor: 4.044

Review 2.  Quantitative Susceptibility Mapping: Concepts and Applications.

Authors:  J R Reichenbach; F Schweser; B Serres; A Deistung
Journal:  Clin Neuroradiol       Date:  2015-07-22       Impact factor: 3.649

Review 3.  Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging.

Authors:  Pascal P R Ruetten; Jonathan H Gillard; Martin J Graves
Journal:  Br J Radiol       Date:  2019-07-26       Impact factor: 3.039

4.  Visualization of thalamic calcium influx with quantitative susceptibility mapping as a potential imaging biomarker for repeated mild traumatic brain injury.

Authors:  Ferdinand Schweser; Jenni Kyyriäinen; Marilena Preda; Asla Pitkänen; Kathryn Toffolo; Austin Poulsen; Kaitlynn Donahue; Benett Levy; David Poulsen
Journal:  Neuroimage       Date:  2019-06-12       Impact factor: 6.556

5.  Quantitative susceptibility mapping in the human fetus to measure blood oxygenation in the superior sagittal sinus.

Authors:  Brijesh Kumar Yadav; Sagar Buch; Uday Krishnamurthy; Pavan Jella; Edgar Hernandez-Andrade; Anabela Trifan; Lami Yeo; Sonia S Hassan; E Mark Haacke; Roberto Romero; Jaladhar Neelavalli
Journal:  Eur Radiol       Date:  2018-10-01       Impact factor: 5.315

6.  Susceptibility mapping of the dural sinuses and other superficial veins in the brain.

Authors:  Sagar Buch; Yongsheng Chen; E Mark Haacke
Journal:  Magn Reson Imaging       Date:  2018-10-21       Impact factor: 2.546

Review 7.  Susceptibility-weighted imaging: current status and future directions.

Authors:  Saifeng Liu; Sagar Buch; Yongsheng Chen; Hyun-Seok Choi; Yongming Dai; Charbel Habib; Jiani Hu; Joon-Yong Jung; Yu Luo; David Utriainen; Meiyun Wang; Dongmei Wu; Shuang Xia; E Mark Haacke
Journal:  NMR Biomed       Date:  2016-05-18       Impact factor: 4.044

8.  Increased susceptibility of asymmetrically prominent cortical veins correlates with misery perfusion in patients with occlusion of the middle cerebral artery.

Authors:  Yu Luo; Zhongying Gong; Yongming Zhou; Binge Chang; Chao Chai; Taiyuan Liu; Yanhong Han; Meiyun Wang; Tianyi Qian; E Mark Haacke; Shuang Xia
Journal:  Eur Radiol       Date:  2016-09-21       Impact factor: 5.315

Review 9.  Neuroimaging of deployment-associated traumatic brain injury (TBI) with a focus on mild TBI (mTBI) since 2009.

Authors:  David H Salat; Meghan E Robinson; Danielle R Miller; Dustin C Clark; Regina E McGlinchey
Journal:  Brain Inj       Date:  2017       Impact factor: 2.167

10.  Iron Deposition Is Positively Related to Cognitive Impairment in Patients with Chronic Mild Traumatic Brain Injury: Assessment with Susceptibility Weighted Imaging.

Authors:  Liyan Lu; Heli Cao; Xiaoer Wei; Yuehua Li; Wenbin Li
Journal:  Biomed Res Int       Date:  2015-12-20       Impact factor: 3.411

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