Transcranial Sonography vs. CT scans: A Prospective Study on Brain Midline Shift Assessment in Traumatic Brain Injury Cases

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Rasheda El said Azzam, Abeer El Sayed Farhat, Manal Foad Abdelmoniem, Ayman Esmail Hussien, Warda Demerdash Khalifa Ali

Keywords

brain midline shift, computed tomography, transcranial sonography

Abstract

Brain midline shift (MLS) is a crucial marker of intracranial issues requiring prompt diagnosis and intervention. While computed tomography (CT) scans are the gold standard, their repeated use in neurosurgical ICUs carries risks. Transcranial sonography (TCS) offers a noninvasive MLS assessment alternative.


Methods: A prospective cohort study involving 50 traumatic brain injury (TBI) patients was conducted to compare TCS MLS measurements with CT MLS measurements. Various clinical parameters, including Glasgow Coma Scale (GCS), ICU days, and ventilation days, were assessed alongside MLS sizes.


Results: TCS MLS exhibited a weak significant correlation with CT MLS (r = 0.0483, p = 0.001), while CT MLS demonstrated a moderate and highly significant correlation with TCS MLS (r = 0.635, p < 0.001). TCS MLS accurately detected MLS sizes, with mean measurements of 4.33 ± 2.11, whereas CT MLS had a mean of 5.43 ± 2.66.


Conclusion: This investigation underscores the potential of TCS as a valuable method for diagnosing MLS in TBI patients when compared to CT scans. Despite weak correlations, TCS provides a bedside, noninvasive option for early MLS detection, contributing to timely interventions. The study's findings suggest that TCS could reduce radiation exposure, enhance MLS assessment, and improve patient care in neurocritical settings.

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References

1. V., V., et al., Automated Detection and Screening of Traumatic Brain Injury (TBI) Using Computed Tomography Images: A Comprehensive Review and Future Perspectives. International Journal of Environmental Research and Public Health, 2021. 18(12): p. 6499.
2. Jiang, C., et al. Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries. in 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2019. IEEE.
3. Liao, C.-C., Y.-F. Chen, and F. Xiao, Brain Midline Shift Measurement and Its Automation: A Review of Techniques and Algorithms. International Journal of Biomedical Imaging, 2018. 2018: p. 4303161.
4. Hooshmand, M., et al. Automatic Midline Shift Detection in Traumatic Brain Injury. in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2018.
5. Theophilus, S.C., et al., Neuroimaging in the Neuro-ICU, in Neurointensive Care: A Clinical Guide to Patient Safety, K.E. Wartenberg, K. Shukri, and T. Abdelhak, Editors. 2015, Springer International Publishing: Cham. p. 299-312.
6. Kapoor, I., et al., Comparison between Transcranial Sonography and Computerized Tomography Scans to Assess the Midline Shift in Patients with Traumatic Brain Injury. Indian Journal of Critical Care Medicine: Peer-reviewed, Official Publication of Indian Society of Critical Care Medicine, 2023. 27(1): p. 64.
7. Bittencourt Rynkowski, C. and J. Caldas, Ten Good Reasons to Practice Neuroultrasound in Critical Care Setting. Frontiers in Neurology, 2022. 12.
8. Motuel, J., et al., Assessment of brain midline shift using sonography in neurosurgical ICU patients. Critical Care, 2014. 18: p. 1-8.
9. Helmy, T.A., M.A. Abdelhady, and H.A. Ahmed, Assessment of brain midline shift using sonography in neurocritical patients. Research and Opinion in Anesthesia & Intensive Care, 2019. 6(2): p. 200-205.
10. Kiphuth, I.C., et al., Sonographic monitoring of midline shift predicts outcome after intracerebral hemorrhage. Cerebrovascular Diseases, 2012. 34(4): p. 297-304.
11. White, H. and B. Venkatesh, Applications of transcranial Doppler in the ICU: a review. Intensive care medicine, 2006. 32: p. 981-994.
12. Llompart Pou, J.A., et al., Monitoring midline shift by transcranial color-coded sonography in traumatic brain injury: a comparison with cranial computerized tomography. Intensive care medicine, 2004. 30: p. 1672-1675.