Today: Nov 21, 2024
RU / EN
Last update: Oct 30, 2024
Assessment of Chronic Subdural Hematoma Perifocal Zone Microvasculature According to Perfusion Computerized Tomography Data

Assessment of Chronic Subdural Hematoma Perifocal Zone Microvasculature According to Perfusion Computerized Tomography Data

Trofimov A.O., Kalentiev G.V., Voennov O.V., Grigorieva V.N.
Key words: chronic subdural hematoma; perifocal zone; perfusion computerized tomography; cerebral microvasculature.
2015, volume 7, issue 4, page 91.

Full text

html pdf
2611
2203

The aim of the investigation was to explore possibilities of assessment of cerebral microcirculation and blood flow autoregulation in chronic subdural hematoma (CSH) perifocal zone using present-day algorithms of perfusion computerized tomography.

Materials and Methods. The concentric retrospective non-randomized study comprised 20 patients with unilateral CSH developed in result of craniocerebral injury sustained at term from 15 days to several months to admission date. Mean age of the casualties was 54.7±15.6 years (from 17 to 87 years old). 11 patients had the CSH settled on the right, while 9 patients had the CSH settled on the left. Average hematoma volume amounted to 84.2±12.4 cm3 (from 56 to 117 cm3), condition severity according to Markwalder scale was 1.8±0.5 points (from 0 to 3 points).

Colored perfusion parameter charts were plotted to describe cerebral perfusion in the cortex area adjacent to CSH and in the symmetrical area of the opposite hemisphere without the use and with the use of the mode (algorithm) for perfusion computation exclusive of flows in Remote Vessels great vessels.

Results. Perfusion indices of microvasculature in the CSH perifocal zone have no statistically significant variations from the norm and indices in the symmetrical area of the opposite hemisphere. This statement holds for assessment of perfusion status both without the use and with the use of perfusion calculation algorithm exclusive of flows in great vessels.

Conclusion. Constancy of microvasculature perfusion in the CSH perifocal zone is indicative of cerebral blood flow autoregulation retention in patients with chronic subdural hematomas.

Use of present-day cerebral perfusion assessment algorithms allows for CSH forecast in casualties with craniocerebral injury. Development of cerebral hyperperfusion local nidi, which do not affect the pial flow in patients who had a cerebral damage may serve as an early marker of CSH capsule formation with cerebral compression development.

  1. Konovalov A.N., Potapov A.A., Likhterman L.B., et al. Rekonstruktivnaya i minimal'no invazivnaya khirurgiya posledstviy cherepno-mozgovoy travmy [Reconstructive and minimally invasive surgery of craniocerebral injury consequences]. Moscow: Novoe vremya; 2013; 320 p.
  2. Aries M.J., Budohoski K.P., Metting Z., van der Naalt J. Cerebral perfusion changes in chronic subdural hematoma. J Neurotrauma 2013; 30(19): 1680, http://dx.doi.org/10.1089/neu.2013.2876.
  3. Slotty P.J., Kamp M.A., Steiger S.H.-J., Cornelius J.F., Macht S., Stummer W., Turowski B. Cerebral perfusion in chronic subdural hematoma. J Neurotrauma 2012; 30(5): 347–351, http://dx.doi.org/10.1089/neu.2012.2644.
  4. Tanaka A., Kimura M., Yoshinaga S., Ohkawa M. Computed tomography and cerebral blood flow correlations of mental changes in chronic subdural hematoma. Neurosurgery 1992; 30(3): 370–377, http://dx.doi.org/10.1227/00006123-199203000-00010.
  5. Okuyama T., Saito K., Fukuyama K., Yamamoto K., Morimoto M., Aburano T. Clinical study of cerebral blood flow in unilateral chronic subdural hematoma measured by 99mTc-HMPAO SPECT. No To Shinkei 2000; 52(2): 141–147.
  6. Tang J., Ai J., Macdonald R.L. Developing a model of chronic subdural hematoma. Acta Neurochir Suppl 2011; 111: 25–29, http://dx.doi.org/10.1007/978-3-7091-0693-8_5.
  7. Salvant J.B. Jr., Muizelaar J.P. Changes in cerebral blood flow and metabolism related to the presence of subdural hematoma. Neurosurgery 1993; 33(3): 387–393, http://dx.doi.org/10.1227/00006123-199309000-00006.
  8. Abels B., Villablanca J.P., Tomandl B.F., Uder M., Lell M.M. Acute stroke: a comparison of different CT perfusion algorithms and validation of ischaemic lesions by follow-up imaging. Eur Radiol 2012; 22(12): 2559–2567, http://dx.doi.org/10.1007/s00330-012-2529-8.
  9. Campbell B.C., Christensen S., Levi C.R., Desmond P.M., Donnan G.A., Davis S.M., Parsons M.W. Cerebral blood flow is the optimal CT perfusion parameter for assessing infarct core. Stroke 2011; 42(12): 3435–3440, http://dx.doi.org/10.1161/STROKEAHA.111.618355.
  10. Kate M.P., Hansen M.B., Mouridsen K., Østergaard L., Choi V., Gould B.E., McCourt R., Hill M.D., Demchuk A.M., Coutts S.B., Dowlatshahi D., Emery D.J., Buck B.H., Butcher K.S.; ICHADAPT Investigators. Blood pressure reduction does not reduce perihematoma oxygenation: a CT perfusion study. J Cereb Blood Flow Metab 2014; 34(1): 81–86, http://dx.doi.org/10.1038/jcbfm.2013.164.
  11. Markwalder T.M. Chronic subdural hematomas: a review. J Neurosurg 1981; 54(5): 637–645, http://dx.doi.org/10.3171/jns.1981.54.5.0637.
  12. Zakharova N.E., Potapov A.A., Kornienko V.N., Pronin I.N., Zaytsev O.S., Gavrilov A.G., Kravchuk A.D., Oshorov A.V., Sychev A.A., Alexandrova E.V., Fadeeva L.M., Takush S.V., Polupan A.A. Peculiarities of regional cerebral blood flow, intracranial pressure and cerebral perfusion pressure parameters in severe brain trauma. Luchevaya diagnostika i terapiya 2012; 3: 79–91.
  13. Varsos G.V., de Riva N., Smielewski P., Pickard J.D., Brady K.M., Reinhard M., Avolio A., Czosnyka M. Critical closing pressure during intracranial pressure plateau waves. Neurocrit Care 2013; 18(3): 341–348, http://dx.doi.org/10.1007/s12028-013-9830-5.
  14. Semenyutin V.B., Pechiborsch D.A., Aliev V.A. Transfer function assessment of dynamic cerebral autoregulation. Vestnik Voenno-meditsinskoy akademii 2013; 2(42): 180–188.
  15. Kornienko V., Pronin I. Diagnostic neuroradiology. Springer-Verlag Berlin Heidelberg; 2009, http://dx.doi.org/10.1007/978-3-540-75653-8.
  16. Bivard A., Levi C., Krishnamurthy V., Hislop-Jambrich J., Salazar P., Jackson B., Davis S., Parsons M. Defining acute ischemic stroke tissue pathophysiology with whole brain CT perfusion. J Neuroradiol 2014; 41(5): 307–315, http://dx.doi.org/10.1016/j.neurad.2013.11.006.
  17. Germano A., Merlo L., Campenn A., Trimarchi G., Baldari S. Pre- and postoperative cerebral perfusion assessment in chronic subdural hematoma. Abstracts from the 11th Symposium of the International Neurotrauma Society March 19–23, 2014, Budapest, Hungary. J Neurotrauma 2014; 31(5): A-1–A-73, http://dx.doi.org/10.1089/neu.2014.9937.
  18. Cao W., Campbell B.C., Dong Q., Davis S.M., Yan B. Relative filling time delay based on CT perfusion source imaging: a simple method to predict outcome in acute ischemic stroke. AJNR Am J Neuroradiol 2014; 35(9): 1683–1687, http://dx.doi.org/10.3174/ajnr.A3931.
  19. Yu Y.N., Ding X.F., Zhang S., Lou M. Thresholds of CT perfusion in predicting ischemic penumbra and infarct core in patients with acute ischemic stroke. Zhejiang Da Xue Xue Bao Yi Xue Ban 2014; 43(1): 7–13.
  20. Hong H.J., Kim Y.J., Yi H.J., Ko Y., Oh S.J., Kim J.M. Role of angiogenic growth factors and inflammatory cytokine on recurrence of chronic subdural hematoma. Surg Neurol 2009; 71(2): 161–166, http://dx.doi.org/10.1016/j.surneu.2008.01.023.
Trofimov A.O., Kalentiev G.V., Voennov O.V., Grigorieva V.N. Assessment of Chronic Subdural Hematoma Perifocal Zone Microvasculature According to Perfusion Computerized Tomography Data. Sovremennye tehnologii v medicine 2015; 7(4): 91, https://doi.org/10.17691/stm2015.7.4.12


Journal in Databases

pubmed_logo.jpg

web_of_science.jpg

scopus.jpg

crossref.jpg

ebsco.jpg

embase.jpg

ulrich.jpg

cyberleninka.jpg

e-library.jpg

lan.jpg

ajd.jpg

SCImago Journal & Country Rank