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Article Commentary

Value of Advanced MR Imaging Techniques in Mild Traumatic Brain Injury

S. Hähnel
American Journal of Neuroradiology July 2020, 41 (7) 1269-1270; DOI: https://doi.org/10.3174/ajnr.A6629
S. Hähnel
1Department of Neuroradiology University of Heidelberg Medical Center Heidelberg, Germany
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This commentary addresses the article, “Prevalence and Incidence of Microhemorrhages in Adolescent Football Players.”1 The authors performed SWI in 78 adolescent football players before and after the season. The number of examined football players was fairly large. They found a prevalence of microhemorrhages of 15.38% in the group, with an incidence of 2.56% per season. Concussion was evaluated by the Sports Concussion Assessment Tool (SCAT5; https://bjsm.bmj.com/content/bjsports/early/2017/04/26/bjsports-2017-097506SCAT5.full.pdf) or by self-reporting history before the study. No statistically significant relationship was found between concussion and the presence of microhemorrhages.

The article by Shah et al1 is in line with several recent works dealing with MR imaging in mild traumatic brain injury (mTBI; concussion). Providing noninvasive biomarkers in mTBI has implications for any kind of contact sport such as boxing and soccer and perhaps for any situation in which the human brain is accelerated or decelerated such as in traffic collisions, starting and landing fighter jets or rockets by pilots or astronauts, or any kind of minor head trauma (concussion). The results are in good accordance with other studies on SWI in mTBI.2,3 In brain trauma, shearing forces lead to microhemorrhages, especially at the gray-white matter boundary. However, brain damage may also occur without the consequence of microbleeding if axonal stretching occurs without vessel injury. Besides SWI, other advanced techniques are currently being used as an MR imaging biomarker in mTBI, such as DTI and Tract-Based Spatial Statistics (TBSS; http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/TBSS),4 measurements of cerebral perfusion and metabolism,5 and MR volumetry.6,7

Champagne et al5 found reductions in metabolic demand despite no significant changes in resting oxygen extraction. Accordingly, hypoperfusion after sports-related mTBI might reflect compromised brain metabolism after injury.5 In a meta-analysis of 224 references to the terms “white matter,” “mTBI or concussion,” and “TBSS,” Hellewell et al4 extracted 8 relevant articles on acute (n = 2), chronic (n = 4), and subconcussive8 (n = 2) injuries. Their most important finding was a dominant, bilateral, increased fractional anisotropy (FA) in the superior longitudinal fasciculus, internal capsule, and arcuate fasciculus. In subconcussion, defined as “cranial impact that does not result in known or diagnosed concussion on clinical grounds,”8 the changes in FA were found to be bidirectional. Hellewell et al emphasized the possible future role of DTI in the detection of mTBI.

In our recent study on amateur boxers,6 we found statistically significant lower volumes in several cerebral substructures compared with nonboxing individuals, such as the nucleus accumbens (14%), caudate nucleus (11%), globus pallidus (9%), and cerebral white matter (9%), respectively, but there was a correlation of neither total brain volume nor any volume of cerebral substructures with intelligence quotient or years of boxing. Our results are in good agreement with the study of Cohen et al,7 who found brain atrophy in patients with mTBI along with a reduction of whole-brain N-acetylaspartate in MR spectroscopy. In a study by Lui et al,9 classification algorithms using a variety of MR imaging features, such as conventional brain imaging, magnetic field correlation, and multifeature analysis, have been used to define patients with mTBI.

Noninvasive acquisition of biomarkers in mTBI using MR imaging is of growing interest due to the popularity of contact sports such as football, as mentioned in the article by Shah et al,1 and possibly also for advisory opinions regarding the medical and legal consequences of traffic collisions and interpersonal violence. Advanced MR imaging techniques such as SWI, DTI, MR spectroscopy, perfusion imaging, and MR volumetry in correlation to neuropsychological findings might answer a variety of questions in this field.

References

  1. 1.↵
    1. Shah BR,
    2. Holcomb JM,
    3. Davenport EM, et al
    . Prevalence and incidence of microhemorrhages in adolescent football players. AJNR Am J Neuroradiol 2020
  2. 2.↵
    1. Hasiloglu Z,
    2. Albayram S,
    3. Selcuk H, et al
    . Cerebral microhemorrhages detected by susceptibility-weighted imaging in amateur boxers. AJNR Am J Neuroradiol 2011;32:99–102 doi:10.3174/ajnr.A2250 pmid:20966064
    Abstract/FREE Full Text
  3. 3.↵
    1. Huang YL,
    2. Kuo YS,
    3. Tseng YC, et al
    . Susceptibility-weighted MRI in mild traumatic brain injury. Neurology 2015;84:580–85 doi:10.1212/WNL.0000000000001237 pmid:25576634
    CrossRefPubMed
  4. 4.↵
    1. Hellewell SC,
    2. Nguyen VPB,
    3. Jayasena RN, et al
    . Characteristic patterns of white matter tract injury in sport-related concussion: an image based meta-analysis. Neuroimage Clin 2020;26:102253 doi:10.1016/j.nicl.2020.102253 pmid:32278315
    CrossRefPubMed
  5. 5.↵
    1. Champagne AA,
    2. Coverdale NS,
    3. Fernandez-Ruiz J, et al
    . Compromised resting cerebral metabolism after sport-related concussion: a calibrated MRI study. Brain 2020 Apr 19. [Epub ahead of print] doi:10.1007/s11682-019-00240-2 pmid:32307673
    CrossRefPubMed
  6. 6.↵
    1. Jesser J,
    2. Zidan M,
    3. Herweh C, et al
    . Brain volume is reduced in amateur boxers as compared to healthy age-matched controls. Clin Neuroradiol 2019;29(Suppl 1):119
  7. 7.↵
    1. Cohen BA,
    2. Inglese M,
    3. Rusinek H, et al
    . Proton MR spectroscopy and MRI-volumetry in mild traumatic brain injury. AJNR Am J Neuroradiol 2007;28:907–13 pmid:17494667
    Abstract/FREE Full Text
  8. 8.↵
    1. Bailes JE,
    2. Petraglia AL,
    3. Omalu BI, et al
    . Role of subconcussion in repetitive mild traumatic brain injury: a review. J Neurosurg 2013;119:1235–45 doi:10.3171/2013.7.JNS121822 pmid:23971952
    CrossRefPubMed
  9. 9.↵
    1. Lui YW,
    2. Xue Y,
    3. Kenul D, et al
    . Classification algorithms using multiple MRI features in mild traumatic brain injury. Neurology 2014;83:1235–40 doi:10.1212/WNL.0000000000000834 pmid:25171930
    Abstract/FREE Full Text
  • © 2020 by American Journal of Neuroradiology
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S. Hähnel
Value of Advanced MR Imaging Techniques in Mild Traumatic Brain Injury
American Journal of Neuroradiology Jul 2020, 41 (7) 1269-1270; DOI: 10.3174/ajnr.A6629

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Value of Advanced MR Imaging Techniques in Mild Traumatic Brain Injury
S. Hähnel
American Journal of Neuroradiology Jul 2020, 41 (7) 1269-1270; DOI: 10.3174/ajnr.A6629
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