350 rub
Journal Technologies of Living Systems №5 for 2011 г.
Article in number:
СHARACTERISTICS OF INTERVERTEBRAL DISC-BASED COMPUTER ANALYSIS
Authors:
N.E. Komleva, V.V. Bakutkin, A.A. Maryanovsky
Abstract:
The prevalence of discogenic disease is high. This makes the study of the state of the intervertebral discs. Magnetic resonance imaging (MRI) - a basic method for studying intervertebral disc. Assessment of the intervertebral discs and presented subjective quality indicators.
We have developed a method that carries out a computer analysis of digital images of spinal MRI for the assessment of intervertebral discs. This method gives a quantitative assessment of in-tervertebral discs.
Intervertebral discs were examined by gender and age. To this end, selected 212 micro-images of intervertebral discs of the lumbosacral spine. Of these, 101 belonged to drive to males, 110 - person female. The exceptions were low-quality discs. Compared the values of the average brightness level of the intervertebral discs of men and women. Statistically significant difference was not detected (p = 0,06).
Compared the patients' age and the average degree of brightness of intervertebral discs L1-L2 to L4-L5 (nonparametric method of Spearman correlation analysis). An inverse statistically signifi-cant moderate correlation (r = - 0,50; p = 0,001).
Intervertebral disc L5-S1 is an exception. Studied the intervertebral discs of the lumbosacral spine. The correlation between the average brightness level of L1-L2 to L4-L5. Intervertebral disc
L5-S1 is an exception.
Were identified an average level of brightness, standard deviation, median and confidence in-tervals for the age groups. Proved statistically significant difference between all age groups. Estab-lished neuroimaging characteristics of intervertebral disc spine.
Pages: 11-14
References
- Кукушкин М. Л. Патофизиологические механизмы болевых синдромов // Боль. 2003. №1. С. 5 - 13.
- Левин О.С. Диагностика и лечение неврологических проявлений остеохондроза позвоночника // Консилиум. 2004. Т. 6. № 8. С. 547 - 554.
- Хоружик С.А., Полойко Ю.Ф. Алгоритмы медицинской визуализации:
скелетно-мышечная
система // Новости лучевой диагностики. 2000. № 2. С. 19 - 21. - Fardon D.F., Milette P.C. Nomenclature and Classification of Lumbar disk pathology // Spine. 2001. №5. P. 93 - 113.
- Roberts S. Disc morphology in health and disease // Biochemical Society Transactions. 2002. №30. Р. 864 - 869.