VARIANT RADIATION ANATOMY OF THE LACRIMAL SAC AT VISUALIZATION BY CONTRAST-FREE COMPUTED TOMOGRAPHY
https://doi.org/10.20862/0042-4676-2016-97-1-14-19
Abstract
Objective: to morphometrically estimate normal variations in the sizes of lacrimal sacs on the basis of computed tomography findings to optimize the choice of endoscopic surgical intervention tactics for dacryocystitis. Material and methods. Preoperative orbital computed tomography data were comparatively morphometrically processed in two groups of patients with or without clinically verified dacryocystitis. Results. Data on the typical variants of the sizes of the lacrimal sac in health and in clinically manifested dacryocystitis were obtained and statistically processed. The advantages of using the design volume of the lacrimal sac over other measurements were shown. A method for the morphometry of lacrimal sacs was proposed on the strength of computed tomography data. Conclusion. The obtained new refined data on the holotopy of the lacrimal sac in health and clinically verified dacryocystitis can simplify the choice of an approach to planning endonasal dacryocystorhinostomy.
About the Authors
A. N. Ageev
Sverdlovsk Regional Clinical Hospital № 1, ul. Volgogradskaya, 185, Ekaterinburg, 620102, Russian Federation
Russian Federation
Radiologist, Assistant of Chair of Radiation Diagnosis
Russian Federation
Radiologist, Assistant of Chair of Radiation Diagnosis
A. P. Dergilev
Novosibirsk State Medical University, Krasnyy prospekt, 52, Novosibirsk, 630091, Russian Federation
Russian Federation
MD, PhD, DSc, Professor, Head of Chair of Radiation Diagnosis
Russian Federation
MD, PhD, DSc, Professor, Head of Chair of Radiation Diagnosis
V. A. Obodov
3, MD, PhD, Professor, Deputy General Director for Medical Work
Russian Federation
Eye Microsurgery, Ekaterinburg Center
Russian Federation
Eye Microsurgery, Ekaterinburg Center
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Review
For citations:
Ageev A.N., Dergilev A.P., Obodov V.A. VARIANT RADIATION ANATOMY OF THE LACRIMAL SAC AT VISUALIZATION BY CONTRAST-FREE COMPUTED TOMOGRAPHY. Journal of radiology and nuclear medicine. 2016;97(1):14-19. (In Russ.) https://doi.org/10.20862/0042-4676-2016-97-1-14-19
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