Chrome Extension
WeChat Mini Program
Use on ChatGLM

Clinical Course and MRI Lesion Progression over 4 Years in a Dog with Final Diagnosis of High-Grade Oligodendroglioma

Fabiana Graciolli Tomazi,Veronika M. SteinFelix Meneses,Arianna Maiolini

VETERINARY RECORD CASE REPORTS(2024)

Univ Bern

Cited 0|Views0
Abstract
A 9-month-old Cavalier King Charles Spaniel with 3-month history of paroxysmal episodes of cervical pain and scratching had a magnetic resonance imaging revealing a large intra-axial cystic lesion in the left frontal lobe, caudal transtentorial and foraminal brain herniation, and cervical syringomyelia. Despite suspected high-grade glioma, clinical signs improved under palliative treatment. Follow-up magnetic resonance imaging 2.5 years later showed a similar lesion size, with no radiological evidence of increased intracranial pressure. The differential diagnosis was reconsidered to possibly porencephaly, congenital cystic malformation or parasitic cyst. The dog remained clinically stable for 19 months before developing acute generalised, single, self-limiting seizures, deteriorating to cluster seizures, stupor, cardiovascular arrest and death. Postmortem magnetic resonance imaging revealed lesion progression with ventricle invasion. Neuropathology confirmed a high-grade oligodendroglioma with subarachnoid and intraventricular drop metastasis. This is the first report describing long-term clinical course and magnetic resonance imaging lesion progression under palliative treatment of a dog ultimately diagnosed with high-grade oligodendroglioma.
More
Translated text
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
GPU is busy, summary generation fails
Rerequest