Evaluation of intracranial meningioma resection with a surgical aspirator in dogs: 17 Cases (1996-2004)
To determine results of intracranial meningioma resection by use of a surgical aspirator and assess prognostic factors associated with intracranial meningiomas in dogs.
Retrospective case series.
Medical records of dogs that underwent resection of an intracranial meningioma by use of a surgical aspirator were reviewed. Information pertaining to signalment, imaging findings, clinical signs, duration of clinical signs, preoperative treatment, location of the tumor, results of histologic assessment, outcome, and necropsy results was obtained from the medical record. Clients and referring veterinarians were contacted via telephone for information on recurrence of clinical signs and postoperative survival time.
16 dogs were > 7 years of age, and all 17 dogs had seizures before surgery. The most commonly affected breed was the Golden Retriever, represented by 6 of the 17 dogs. Median survival time was 1,254 days. Of the data collected, only histologic subtype of the tumor was prognostic. Analysis of survival times according to histologic tumor subtypes indicated that the order from most brief to longest was as follows: anaplastic, 0 days; fibroblastic, 10 days; psammomatous, > 313 days; meningothelial, > 523 days; and transitional, 1,254 days.
Use of a surgical aspirator to resect intracranial meningiomas in dogs was associated with longer survival times than those achieved with traditional surgery alone or traditional surgery combined with radiation therapy. Dogs with meningothelial, psammomatous, or transitional intracranial meningioma subtypes appeared to have a better prognosis than dogs with other subtypes of meningioma.
Available from: Tetsuya Nakade
- "MRI was able
to show the exact location of the tumor before the resection. Performing microsurgery under
a surgical microscope was also helpful to obtain good results for canine meningioma, which
generally has poorly defined tumor margins . These
techniques minimized the trauma to the subarachnoid tissue. "
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ABSTRACT: To report the effectiveness of MRI scanning during brain meningioma resection surgery in canine and feline. Twenty three cases from 2006 to 2008 in canine and feline diagnosed with meningioma. All were aged between 8 years and 16 years old. There were 12 males and 11 females. Appropriate craniotomy was performed for each case according to the initial MRI taken to diagnose meningioma prior to the surgery. Once dura mater was exposed, an MRI biopsy needle was placed in the tumor as a guide. 1st MRI during the surgery was scanned with this needle to confirm the location of the tumor. This MRI image was also processed and displayed by MPR to reveal the tumor extent in three dimensions. Sonopet was applied in the middle of the tumor to destroy the inner part and release pressure from the entire tumor. Creating some space between the brain tissue and tumor, we treated blood vessels and carefully resected them. This procedure was repeated until complete removal of the tumor was confirmed by MRI. Sixteen of the twenty three cases survived for more than 2 years postoperatively. The other seven died due to other disorders within 2 years. Our method with MRI navigation during the surgery improved our surgical performance and contributed to a prolonged survival time for the patients. In order to perform multiple MRI procedures smoothly during the surgery, it is necessary to have skillful assistants.
Journal of Veterinary Medical Science 11/2013; 76(3). DOI:10.1292/jvms.12-0373 · 0.78 Impact Factor
Available from: Rafał Sapierzyński
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ABSTRACT: This paper deals with the compensation for the nonlinear
distortion introduced by power-efficient amplifiers on linear modulation
by means of equalization. We propose a new equalizer based on a
reduced-complexity network called the generalized cerebellar model
arithmetic computer (GMAC) GCMAC. The GCMAC-based equalizer is compared
with other well-known structures such as the Volterra filter and the
multi-layer perceptron. Extensive computer simulations have been carried
out. The obtained results show the effectiveness of the proposed
structure to compensate for strong nonlinearities
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on; 06/1998
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