POTENTIAL OF COMPUTED TOMOGRAPHY IN THE DIAGNOSTICS OF THE LACRIMAL GLAND EPITHELIAL TUMORS
https://doi.org/10.20862/0042-4676-2018-99-3-132-138
Abstract
Objective. Discussion of the X-ray data in patients with epithelial tumors of the lacrimal gland.
Material and methods. We examined CT scans of 20 patients with lacrimal gland epithelial tumors (20 orbits). Pleomorphic adenoma was diagnosed in 9 patients, pleomorphic adenocarcinoma was diagnosed in 11 patients. The computed tomogtaphy was performed according to the standard method with obtaining axial and frontal slices. The slicethickness was 1.0 mm, sliceinterval – 1.0 mm.
Results. The article presents data on the structure of lacrimal gland epithelial tumors, considering their volume, dimension and density. Based on the investigation results, the criteria for the differential diagnosis between pleomorphic adenoma and adenocarcinoma have been established.
Conclusion. Computed tomography is an essential diagnostic technique for a suspected lacrimal gland tumor. Pleomorphic adenocarcinoma is characterized by a greater density and more heterogeneous structure compared to pleomorphic adenoma. Nearly 3/4 of patients with pleomorphic adenocarcinoma present changes in their orbital walls. The pleomorphic adenoma can’t be ruled out in patients with the thinning of the orbital wall.
About the Authors
O. Yu. Yatsenko
Russian Medical Academy of Continuous Education, Ministry of Health of the Russian Federation
Russian Federation
Russian Federation
ul. Barrikadnaya, 2/1, Moscow, 125993, Russian Federation
Dr. Med. Sc., Professor of Chair of Ophthalmology
I. E. Tyurin
Russian Medical Academy of Continuous Education, Ministry of Health of the Russian Federation
Russian Federation
Russian Federation
ul. Barrikadnaya, 2/1, Moscow, 125993, Russian Federation
Dr. Med. Sc., Professor, Chief of Chair of Radiation Diagnosis, Radiotherapy and Medical Physics
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For citations:
Yatsenko O.Yu., Tyurin I.E. POTENTIAL OF COMPUTED TOMOGRAPHY IN THE DIAGNOSTICS OF THE LACRIMAL GLAND EPITHELIAL TUMORS. Journal of radiology and nuclear medicine. 2018;99(3):132-138. (In Russ.) https://doi.org/10.20862/0042-4676-2018-99-3-132-138
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