Journals / KONURALP TIP DERGİSİ / 2019 / Cilt: 11 - Sayı: 2

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

Cavalieri Prensibi İle Hesaplanan Kronik Subdural Hematom Hacminin Değerlendirilmesi

Pages
260–268
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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

📌 3 Key Takeaways

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Objective & Hypothesis:Background: Chronic subdural hematoma (CSDH) is a frequently encountered entity in neurosurgery.
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Key Findings & Data: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.
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Conclusion & Impact:Conclusion: It should be kept in mind that the bleeding volume of patients with vomiting may be higher.
🔬Design:Research Article
📍Scope:2098 Verileri
⚙️Variables:Chronic Subdural Hematoma · Cavalieri’s Principle

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.

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Cite This Article

KARAKAYA, Z., SARITAŞ, A., AKYOL, P. Y., TOPAL, F. E., PAYZA, U., BİLGİN, S. (2019). Evaluation of Chronic Subdural Hematoma Volume Calculated via Cavalieri’s Principle. KONURALP TIP DERGİSİ, Cilt: 11 - Sayı: 2, 260–268. https://ajindex.com/articles/192212

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References (1)

  1. 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