Rhinocerebral Mucormycosis Presented with Cranial Nerves Deficit

2015 ◽  
Vol 5 (3) ◽  
pp. 201-204
Author(s):  
Maysaa Saeed ◽  
Tarek Attia ◽  
Abdullah Al Ghamdi
Keyword(s):  
Cranial Nerves ◽  
Rhinocerebral Mucormycosis

Human Neurofibromas in Co-Culture with Mouse Neurons

1982 ◽  
Vol 40 ◽  
pp. 194-195
Author(s):  
R.L. Martuza ◽  
T. Liszczak ◽  
A. Okun ◽  
T-Y Wang
Keyword(s):  
Schwann Cell ◽  
Schwann Cells ◽  
Genetic Disorder ◽  
Cranial Nerves ◽  
Sympathetic Nerves ◽  
Acoustic Neuromas ◽  
Spinal Roots ◽  
Neural Crest Origin ◽  
Multiple Abnormalities ◽  
Other Neoplasms

Neurofibromatosis (NF) is an autosomal dominant genetic disorder with a prevalence of 1/3,000 births. The NF mutation causes multiple abnormalities of various cells of neural crest origin. Schwann cell tumors (neurofibromas, acoustic neuromas) are the most common feature of neurofibromatosis although meningiomas, gliomas, and other neoplasms may be seen. The schwann cell tumors commonly develop from the schwann cells associated with sensory or sympathetic nerves or their ganglia. Schwann cell tumors on ventral spinal roots or motor cranial nerves are much less common. Since the sensory neuron membrane is known to contain a mitogenic factor for schwann cells, we have postulated that neurofibromatosis may be due to an abnormal interaction between the nerve and the schwann cell and that this interaction may be hormonally modulated. To test this possibility a system has been developed in which an enriched schwannoma cell culture can be obtained and co-cultured with pure neurons.

Abstract #331 Invasive Rhinocerebral Mucormycosis Leading to Gradenigo’s Syndrome in Type I Diabetic

2019 ◽  
Vol 25 ◽  
pp. 144
Author(s):  
Olesya Petrenko ◽  
Talal Alkayali ◽  
Belissa Ramos ◽  
Wilhelmine Wiese-Rometsch
Keyword(s):  
Type I ◽  
Rhinocerebral Mucormycosis ◽  
Gradenigo’S Syndrome

Hemimegalencephaly: involvement of cranial nerves and intracranial vessels

2013 ◽  
Vol 44 (02) ◽  
Author(s):  
T Bosemani ◽  
E Boltshauser ◽  
M Staudt ◽  
L Flores-Sarnat ◽  
S Bürki ◽  
...  
Keyword(s):  
Cranial Nerves

Cranial Nerves Compression Syndromes

Skull Base ◽  
2007 ◽  
Vol 17 (S 1) ◽  
Author(s):  
V. Beneš ◽  
V. Masopust
Keyword(s):  
Cranial Nerves ◽  
Compression Syndromes

Rhinocerebral Mucormycosis

Skull Base ◽  
2009 ◽  
Vol 19 (01) ◽  
Author(s):  
Stephan Knipping ◽  
Hans Holzhausen ◽  
Sabrina Koesling
Keyword(s):  
Rhinocerebral Mucormycosis

Malignant schwannoma of cranial nerves

Pathology ◽  
1983 ◽  
Vol 15 (4) ◽  
pp. 421-429 ◽  
Author(s):  
Ian Robertson ◽  
M.G. Cook ◽  
D.F. Wilson ◽  
D.W. Henderson
Keyword(s):  
Cranial Nerves ◽  
Malignant Schwannoma

Full tractography for detecting the position of cranial nerves in preoperative planning for skull base surgery: technical note

2020 ◽  
Vol 132 (5) ◽  
pp. 1642-1652 ◽  
Author(s):  
Timothee Jacquesson ◽  
Fang-Chang Yeh ◽  
Sandip Panesar ◽  
Jessica Barrios ◽  
Arnaud Attyé ◽  
...  
Keyword(s):  
Skull Base ◽  
Preoperative Planning ◽  
Skull Base Surgery ◽  
Cranial Nerves ◽  
Patient Specific ◽  
Small Scale ◽  
Skull Base Tumor ◽  
Skull Base Tumors ◽  
Brain White Matter ◽  
Human Connectome Project

OBJECTIVEDiffusion imaging tractography has allowed the in vivo description of brain white matter. One of its applications is preoperative planning for brain tumor resection. Due to a limited spatial and angular resolution, it is difficult for fiber tracking to delineate fiber crossing areas and small-scale structures, in particular brainstem tracts and cranial nerves. New methods are being developed but these involve extensive multistep tractography pipelines including the patient-specific design of multiple regions of interest (ROIs). The authors propose a new practical full tractography method that could be implemented in routine presurgical planning for skull base surgery.METHODSA Philips MRI machine provided diffusion-weighted and anatomical sequences for 2 healthy volunteers and 2 skull base tumor patients. Tractography of the full brainstem, the cerebellum, and cranial nerves was performed using the software DSI Studio, generalized-q-sampling reconstruction, orientation distribution function (ODF) of fibers, and a quantitative anisotropy–based generalized deterministic algorithm. No ROI or extensive manual filtering of spurious fibers was used. Tractography rendering was displayed in a tridimensional space with directional color code. This approach was also tested on diffusion data from the Human Connectome Project (HCP) database.RESULTSThe brainstem, the cerebellum, and the cisternal segments of most cranial nerves were depicted in all participants. In cases of skull base tumors, the tridimensional rendering permitted the visualization of the whole anatomical environment and cranial nerve displacement, thus helping the surgical strategy.CONCLUSIONSAs opposed to classical ROI-based methods, this novel full tractography approach could enable routine enhanced surgical planning or brain imaging for skull base tumors.

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