A case of hypertrophic olivary degeneration after resection of cavernomas of the brain stem and review of the literature.
Hypertrophic olivary degeneration is a transsynaptic form of degeneration, which is also a result of primary or secondary lesion and can damage the dento-rubro-olivary pathway. The dento-rubro-olivary pathway was first described by Guillain and Mollaret and is referred to as "the triangle of Guillain and Mollaret". Multiple factors can destroy the dento-rubro-olivary pathway, such as surgical operation, hemorrhage, tumor, trauma, inflammation, demyelination, degeneration, and radiation damage. All of the above factors can result in delayed hypertrophic olivary degeneration. Articles related to this disease cover etiology, clinical presentation, pathology changes, etc. However, to our knowledge, there has been no literature reporting the use of diffusion tensor imaging and diffusion tensor tractography to improve the diagnosis of hypertrophic olivary degeneration following resection of cavernomas in the brain stem. Herein, we report a case who was diagnosed with hypertrophic olivary degeneration following resection of cavernomas of the brain stem, verify the significance of diffusion tensor imaging and diffusion tensor tractography, and review previous literature. The development of imageology promotes and improves hypertrophic olivary degeneration diagnosis and differential diagnosis.
Department of Neurosurgery, Qi Lu Hospital, Shandong University, Jinan, People's Republic of China.
Meng
M
Zhang
Department of Neurosurgery, Qi Lu Hospital, Shandong University, Jinan, People's Republic of China.
Gengfan
G
Ye
Department of Neurosurgery, Qi Lu Hospital, Shandong University, Jinan, People's Republic of China.
Lin
L
Deng
Department of Neurosurgery, Qi Lu Hospital, Shandong University, Jinan, People's Republic of China.
Shuo
S
Xu
Department of Neurosurgery, Qi Lu Hospital, Shandong University, Jinan, People's Republic of China.
Yunyan
Y
Wang
HOD; diffusion tensor imaging; diffusion tensor tractography