Evaluation of Chronic Subdural Hematoma Volume Calculated via Cavalieri’s Principle

Year 2019, , 260 - 268, 28.06.2019

Zeynep Karakaya , Ayhan Saritas , Pınar Yesim Akyol Fatih Esad Topal Umut Payza Serkan Bilgin

https://doi.org/10.18521/ktd.469173

Abstract

Background: Chronic subdural hematoma (CSDH) is a frequently encountered entity in
neurosurgery. The
objective of this study was to describe the use of unbiased Cavalieri principle
to assess CSDH volume to total brain volume fraction (Percentage) and compare it with the clinical features of
the patients.

Methods: A total of
33 patients were included in the study. Computed tomography (CT) was acquired
from the hospital-imaging database. The ratio of hematoma volume, brain volume, and hematoma volume to
brain volume were measured via CT by two clinicians. Measurements
were compared with clinical findings.

Results: The sample consisted of 22 males and
11 females and mean age 67,27±12,63 years. The measured
hematoma volume was 89,78 ± 54,13 cm³, the brain volume was 1329,91
± 2098,35 cm³ and the percentage volume was 8,14 ± 4,92 cm³.
The brain volume values of the cases with impaired consciousness were found to
be statistically significant (p <0.05).

Conclusion: It should be kept in mind
that the bleeding volume of patients with vomiting may be higher.

Keywords

Chronic Subdural Hematoma, Cavalieri’s Principle

Cavalieri Prensibi İle Hesaplanan Kronik Subdural Hematom Hacminin Değerlendirilmesi

Abstract

References

• References1. Foelholm R, Waltimo O. Epidemiology of chronic subdural haematoma. Acta Neurochir (Wien).1975; 32:247–250
• 2. Jukovic M, Petrovic K, Till V. The question is whether hemiparesis is more common in unilateral than bilateral chronic subdural hematoma. Medicinski pregled. 2014; 67:277-281.
• 3. Huang YH, Yang TM, Lin YJ, et al. Risk factors and outcome of seizures after chronic subdural hematoma. Neurocritical care. 2011;14: 253-259.
• 4. Snell RS. Clinical anatomy for medical students 5th ed. Boston (MA): Little Brown, 1997:755–770
• 5. Roberts, N., Puddephat, M.J., and McNulty, V. The benefit of stereology for quantitative radiology. Br. J. Radiol. 2000;73: 679–697.
• 6. Webb J, Guimond A, Eldridge P, et al. Automatic detection of hippocampal atrophy on magnetic resonance images. Magn Reson Imaging.1999;17:1149–1161.
• 7. Calmon G, Roberts N. Automatic measurement of changes in brain volume on consecutive 3D MR images by segmentation propagation. Magn Reson Imaging 2000;18:439-453
• 8. Mazonakis M, Karampekios S, DamilakisJ, Voloudaki A, Gourtsoyiannis N. Stereological estimation of total intracranial volume on CT images. Eur Radiol 2004; l14:1285.
• 9. Liu C, Edwards S, Gong QY, Roberts N, Blumhardt LD. Three dimensional MRI estimates of brain and spinal cord atrophy in multiple sclerosis' Journal of Neurology, Neurosurgery & Psychiatry,1999;66(3):323-330.
• 10. Vaithianathar L, Tench CR, Morgan PS, Lin X, Blumhardt LD. White matter T(1) relaxation time histograms and cerebral atrophy in multiple sclerosis. J Neurol Sci. 2002 May 15;197(1-2):45-50.
• 11. Altunkaynak BZ, Altunkaynak ME. Relationship of body weight and volume of liver, A morphometrical and stereological study. Saudi Medical Journal 2007;28(6):891-895.
• 12. Li C, Yang S, Chen L, et al. Stereological methods for estimating the myelin sheaths of the myelinated fibers in white matter. Anat Rec (Hoboken),2009; 292:1648-1655.
• 13. Pazvant G, Sahin B, Kahvecioglu OK, Gunes H, Ince N.G, Bacinoglu D. The volume fraction method for the evaluation of kidney: A stereological study. Ankara Üniv.Vet Fak Derg. 2009;56:233-239.
• 14. Okur A, Kantarci M, Akgun M, et al 2005. Unbiased estimation of tumor regression rates during chemoradiotherapy for esophageal carcinoma using CT and sterology. Dis Oesphagus 2005;18:114-119.
• 15. Duran C, Aydinli B, Tokat Y, Yuzer Y, Kantarci M, Akgun M. Stereological evaluation of liver volume in living donor liver transplantation using MDCT via the Cavalieri method. Liver Transpl.2007;13:693-698.
• 16. Sahin B, Mazonakis M, Akan H, Kaplan S, Bek Y. Dependence of computed tomography volume measu- rements upon section thickness: An application to human dry skulls. Clin Anat. 2008;21:479-485.
• 17. Sucu HK, Gokmen M, Gelal F. The value of XYZ/2 technique compared with computer-assisted volume- tric analysis to estimate the volume of chronic subdural hematoma. Stroke 2005;36(5):998-1000.
• 18. Kalkan E, Cander B, Gul M, Girisgin S, Karabagli H, Sahin B. Prediction of prognosis in patients with epidural hematoma by a new stereological method. Tohoku J Exp Med 2007;211(3):235-242.
• 19. Saritas A, Colakoglu S, Gezen AF, et al. Application of Cavalieri principle in patients with chronic subdural hematoma using CT scanning images. HealthMED. 2013;7(3):2616-2622.
• 20. Gelabert-González M, Iglesias-Pais M, García-Allut A, Martínez- Rumbo R. Chronic subdural haematoma: surgical treatment and out- come in 1000 cases. Clin Neurol Neurosurg. 2005;107(3):223–229.
• 21. Broderick JP, Brott TG, Duldner JE, Tomsick T, Huster G. Volume of intracerebral hemorrhage: a powerful and easy-to-use predictor of 30-day mortality. Stroke 1993;24(7):987-993.
• 22. Özdinc S, Ünlü E, Karakaya Z, Turamanlar O, Doğan N, İşler Y. Prognostic value of perihematomal edema area at the initial ED presentation in patients with intracranial hematoma. The American Journal of Emergency Medicine. 2016; 34(7):1241-1246
• 23. Ohba S, Kinoshita Y, Nakagawa T, et al. The risk factors for recurrence of chronic subdural hematoma. Neurosurg Rev 2013 36:145–149
• 24. Aspegren OP, Astrand R, Lundgren MI, Romner B. Anticoagulation therapy a risk factor for the development of chronic subdural hematoma. Clinical neurology and neurosurgery. 2013;115:981-984.
• 25. Pieracci FM, Eachempati SR, Shou J, Hydo LJ, Barie PS. Degree of anticoagulation, but not warfarin use itself, predicts adverse outcomes after traumatic brain injury in elderly trauma patients. The Journal of trauma. 2007;63:525-530.
• 26. Miranda LB, Braxton E, Hobbs J, Quigley MR. Chronic subdural hematoma in the elderly: not a benign disease. Journal of neurosurgery. 2011;114:72-76.
• 27. Forster MT, Mathe AK, Senft C, Scharrer I, Seifert V, Gerlach R. The influence of preoperative anticoagulation on outcome and quality of life after surgical treatment of chronic subdural hematoma. Journal of clinical neuroscience: official journal of the Neurosurgical Society of Australasia. 2010;17:975-979.
• 28. Torihashi K, Sadamasa N, Yoshida K, Narumi O, Chin M, Yamagata S. Independent predictors for recurrence of chronic subdural hematoma: a review of 343 consecutive surgical cases. Neurosurgery. 2008;63:1125-1129
• 29. Lindvall P, Koskinen LO. Anticoagulants and antiplatelet agents and the risk of development and recurrence of chronic subdural haematomas. Journal of clinical neuroscience: official journal of the Neurosurgical Society of Australasia. 2009;16:1287-1290.
• 30. Santarius T, Kirkpatrick PJ, Ganesan D, et al. Use of drains versus no drains after burr-hole evacuation of chronic subdural haematoma: a randomised con- trolled trial. Lancet. 2009;374(9695):1067–1073.
• 31. Gonugunta V, Buxton N. Warfarin and chronic subdural haematomas. British journal of neurosurgery. 2001;15:514-517.
• 32. Amirjamshidi A, Abouzari M, Rashidi A. Glasgow Coma Scale on admission is correlated with postoperative Glasgow Outcome Scale in chronic subdural hematoma. Journal of clinical neuroscience: official journal of the Neurosurgical Society of Australasia. 2007;14:1240-1241.
• 33. Szczygielski J, Gund S-M, Schwerdtfeger K, Steudel W-I, Oertel J. Factors affecting outcome in treatment of chronic subdural hematoma among ICU patients: impact of anticoagulation, World Neurosurgery. 2016;92:426-433.
• 34. Van den Brink WA, Zwienenberg M, Zandee SM, van der Meer L, Maas AI, Avezaat CJ. The prognostic importance of the volume of traumatic epidural and subdural haematomas revisited. Acta Neurochir (Wien). 1999;141(5):509-514.
• 35. Jamjoom A, Nelson R, Stranjalis G, et al. Outcome following surgical evacuation of traumatic intracranial haematomas in the elderly. Br J Neurosurg 1992; 6:27–32
• 36. Borger V, Vatter H, Oszvald A, et al. Chronic subdural haematoma in elderly patients: a retrospective analysis of 322 patients between the ages of 65– 94 years. Acta Neurochir (Wien) 2012;154: 1549–1554.
• 37. Kim JH, Kang DS, Kim JH, Kong MH, Song KY. Chronic subdural hematoma treated by small or large craniotomy with membranectomy as the initial treatment. J Korean Neurosurg Soc 2011;50(2):103-108.
• 38. Schneck MJ, Maheswaran M, Leurgans S. Predictors of outcomes after nontraumatic subdural hematoma. J Stroke Cerebrovasc Dis 2004;13(5):192-195.
• 39. Ikeda K, Kano A, Hayase H, Yamashima T, Ito H, Yamamoto S. Relationship between Symptoms of Chronic Subdural Hematoma and Hematoma Volume or Regional Cerebral Blood Flow. Neurol Med Chir (Tokyo) 1984;24:869-875.
• 40. Van Havenbergh T, van Calenbergh F, Goffin J, Plets C. Outcome of chronic subdural haematoma: analysis of prognostic factors. Br J Neurosurg 1996;10(1):35-39.