Literature DB >> 26371749

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

Wei Liu1, Karl Soderlund1, Justin S Senseney1, David Joy1, Ping-Hong Yeh1, John Ollinger1, Elyssa B Sham1, Tian Liu1, Yi Wang1, Terrence R Oakes1, Gerard Riedy1.   

Abstract

PURPOSE: To detect cerebral microhemorrhages in military service members with chronic traumatic brain injury by using susceptibility-weighted magnetic resonance (MR) imaging. The longitudinal evolution of microhemorrhages was monitored in a subset of patients by using quantitative susceptibility mapping.
MATERIALS AND METHODS: The study was approved by the Walter Reed National Military Medical Center institutional review board and is compliant with HIPAA guidelines. All participants underwent two-dimensional conventional gradient-recalled-echo MR imaging and three-dimensional flow-compensated multiecho gradient-recalled-echo MR imaging (processed to generate susceptibility-weighted images and quantitative susceptibility maps), and a subset of patients underwent follow-up imaging. Microhemorrhages were identified by two radiologists independently. Comparisons of microhemorrhage number, size, and magnetic susceptibility derived from quantitative susceptibility maps between baseline and follow-up imaging examinations were performed by using the paired t test.
RESULTS: Among the 603 patients, cerebral microhemorrhages were identified in 43 patients, with six excluded for further analysis owing to artifacts. Seventy-seven percent (451 of 585) of the microhemorrhages on susceptibility-weighted images had a more conspicuous appearance than on gradient-recalled-echo images. Thirteen of the 37 patients underwent follow-up imaging examinations. In these patients, a smaller number of microhemorrhages were identified at follow-up imaging compared with baseline on quantitative susceptibility maps (mean ± standard deviation, 9.8 microhemorrhages ± 12.8 vs 13.7 microhemorrhages ± 16.6; P = .019). Quantitative susceptibility mapping-derived quantitative measures of microhemorrhages also decreased over time: -0.85 mm(3) per day ± 1.59 for total volume (P = .039) and -0.10 parts per billion per day ± 0.14 for mean magnetic susceptibility (P = .016).
CONCLUSION: The number of microhemorrhages and quantitative susceptibility mapping-derived quantitative measures of microhemorrhages all decreased over time, suggesting that hemosiderin products undergo continued, subtle evolution in the chronic stage. © RSNA, 2015.

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Year:  2015        PMID: 26371749      PMCID: PMC5571643          DOI: 10.1148/radiol.2015150160

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  20 in total

1.  Quantitative susceptibility mapping for investigating subtle susceptibility variations in the human brain.

Authors:  Ferdinand Schweser; Karsten Sommer; Andreas Deistung; Jürgen Rainer Reichenbach
Journal:  Neuroimage       Date:  2012-06-01       Impact factor: 6.556

2.  Microbleeds in moyamoya disease: susceptibility-weighted imaging versus T2*-weighted imaging at 3 Tesla.

Authors:  Nobuyuki Mori; Yukio Miki; Ken-ichiro Kikuta; Yasutaka Fushimi; Tsutomu Okada; Shin-ichi Urayama; Nobukatsu Sawamoto; Hidenao Fukuyama; Nobuo Hashimoto; Kaori Togashi
Journal:  Invest Radiol       Date:  2008-08       Impact factor: 6.016

Review 3.  Mechanisms of brain injury after intracerebral haemorrhage.

Authors:  Guohua Xi; Richard F Keep; Julian T Hoff
Journal:  Lancet Neurol       Date:  2006-01       Impact factor: 44.182

4.  Morphology enabled dipole inversion (MEDI) from a single-angle acquisition: comparison with COSMOS in human brain imaging.

Authors:  Tian Liu; Jing Liu; Ludovic de Rochefort; Pascal Spincemaille; Ildar Khalidov; James Robert Ledoux; Yi Wang
Journal:  Magn Reson Med       Date:  2011-04-04       Impact factor: 4.668

5.  Military TBI during the Iraq and Afghanistan wars.

Authors:  Deborah Warden
Journal:  J Head Trauma Rehabil       Date:  2006 Sep-Oct       Impact factor: 2.710

6.  Evaluation of traumatic subarachnoid hemorrhage using susceptibility-weighted imaging.

Authors:  Z Wu; Shaowu Li; J Lei; D An; E M Haacke
Journal:  AJNR Am J Neuroradiol       Date:  2010-02-25       Impact factor: 3.825

7.  Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging.

Authors:  Weili Zheng; Helen Nichol; Saifeng Liu; Yu-Chung N Cheng; E Mark Haacke
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8.  Effect of intravenous corticosteroids on death within 14 days in 10008 adults with clinically significant head injury (MRC CRASH trial): randomised placebo-controlled trial.

Authors:  Ian Roberts; David Yates; Peter Sandercock; Barbara Farrell; Jonathan Wasserberg; Gabrielle Lomas; Rowland Cottingham; Petr Svoboda; Nigel Brayley; Guy Mazairac; Véronique Laloë; Angeles Muñoz-Sánchez; Miguel Arango; Bennie Hartzenberg; Hussein Khamis; Surakrant Yutthakasemsunt; Edward Komolafe; Fatos Olldashi; Yadram Yadav; Francisco Murillo-Cabezas; Haleema Shakur; Phil Edwards
Journal:  Lancet       Date:  2004 Oct 9-15       Impact factor: 79.321

9.  Removing background phase variations in susceptibility-weighted imaging using a fast, forward-field calculation.

Authors:  Jaladhar Neelavalli; Yu-Chung N Cheng; Jing Jiang; E Mark Haacke
Journal:  J Magn Reson Imaging       Date:  2009-04       Impact factor: 4.813

10.  MR imaging detection of cerebral microbleeds: effect of susceptibility-weighted imaging, section thickness, and field strength.

Authors:  R N K Nandigam; A Viswanathan; P Delgado; M E Skehan; E E Smith; J Rosand; S M Greenberg; B C Dickerson
Journal:  AJNR Am J Neuroradiol       Date:  2008-11-11       Impact factor: 3.825

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  20 in total

1.  Prevalence and Incidence of Microhemorrhages in Adolescent Football Players.

Authors:  B R Shah; J M Holcomb; E M Davenport; C M Lack; J M McDaniel; D M Imphean; Y Xi; D A Rosenbaum; J E Urban; B C Wagner; A K Powers; C T Whitlow; J D Stitzel; J A Maldjian
Journal:  AJNR Am J Neuroradiol       Date:  2020-07       Impact factor: 3.825

2.  Quantitative Susceptibility Mapping after Sports-Related Concussion.

Authors:  K M Koch; T B Meier; R Karr; A S Nencka; L T Muftuler; M McCrea
Journal:  AJNR Am J Neuroradiol       Date:  2018-06-07       Impact factor: 3.825

3.  Traumatic microbleeds suggest vascular injury and predict disability in traumatic brain injury.

Authors:  Allison D Griffin; L Christine Turtzo; Gunjan Y Parikh; Alexander Tolpygo; Zachary Lodato; Anita D Moses; Govind Nair; Daniel P Perl; Nancy A Edwards; Bernard J Dardzinski; Regina C Armstrong; Abhik Ray-Chaudhury; Partha P Mitra; Lawrence L Latour
Journal:  Brain       Date:  2019-11-01       Impact factor: 13.501

Review 4.  Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care.

Authors:  Yi Wang; Pascal Spincemaille; Zhe Liu; Alexey Dimov; Kofi Deh; Jianqi Li; Yan Zhang; Yihao Yao; Kelly M Gillen; Alan H Wilman; Ajay Gupta; Apostolos John Tsiouris; Ilhami Kovanlikaya; Gloria Chia-Yi Chiang; Jonathan W Weinsaft; Lawrence Tanenbaum; Weiwei Chen; Wenzhen Zhu; Shixin Chang; Min Lou; Brian H Kopell; Michael G Kaplitt; David Devos; Toshinori Hirai; Xuemei Huang; Yukunori Korogi; Alexander Shtilbans; Geon-Ho Jahng; Daniel Pelletier; Susan A Gauthier; David Pitt; Ashley I Bush; Gary M Brittenham; Martin R Prince
Journal:  J Magn Reson Imaging       Date:  2017-03-10       Impact factor: 4.813

Review 5.  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

6.  The Relation of Focal Lesions to Cortical Thickness in Pediatric Traumatic Brain Injury.

Authors:  Erin D Bigler; Brandon A Zielinski; Naomi Goodrich-Hunsaker; Garrett M Black; B S Trevor Huff; Zachary Christiansen; Dawn-Marie Wood; Tracy J Abildskov; Maureen Dennis; H Gerry Taylor; Kenneth Rubin; Kathryn Vannatta; Cynthia A Gerhardt; Terry Stancin; Keith Owen Yeates
Journal:  J Child Neurol       Date:  2016-06-24       Impact factor: 1.987

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

Authors:  Yuyao Zhang; Hongjiang Wei; Yawen Sun; Matthew J Cronin; Naying He; Jianrong Xu; Yan Zhou; Chunlei Liu
Journal:  J Magn Reson Imaging       Date:  2018-01-30       Impact factor: 4.813

8.  Risk factors of radiotherapy-induced cerebral microbleeds and serial analysis of their size compared with white matter changes: A 7T MRI study in 113 adult patients with brain tumors.

Authors:  Melanie A Morrison; Christopher P Hess; Jennifer L Clarke; Nicholas Butowski; Susan M Chang; Annette M Molinaro; Janine M Lupo
Journal:  J Magn Reson Imaging       Date:  2019-01-20       Impact factor: 4.813

9.  Acute Post-Concussive Assessments of Brain Tissue Magnetism Using Magnetic Resonance Imaging.

Authors:  Kevin M Koch; Andrew S Nencka; Brad Swearingen; Anne Bauer; Timothy B Meier; Michael McCrea
Journal:  J Neurotrauma       Date:  2020-11-17       Impact factor: 5.269

10.  Traumatic Cerebral Microbleeds in the Subacute Phase Are Practical and Early Predictors of Abnormality of the Normal-Appearing White Matter in the Chronic Phase.

Authors:  A W van der Eerden; T L van den Heuvel; V Perlbarg; P Vart; P E Vos; L Puybasset; D Galanaud; B Platel; R Manniesing; B M Goraj
Journal:  AJNR Am J Neuroradiol       Date:  2021-02-25       Impact factor: 4.966

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