The management of spine and spinal cord metastasis represents a complex and evolving field that requires a multidisciplinary ... Recent breakthroughs in surgical approaches and imaging modalities, ...
An MRI of the lumbar spine revealed a right kidney mass ... Moreover, depending on the vascular anatomy, it may be technically unfeasible to adequately transarterially embolize hypervascular spinal ...
Patients with lung cancer, breast cancer, prostate cancer, cancer with an unknown primary site, or renal cancer are at high risk for the development of SCC by metastatic tumor. Spinal cord ...
6 天
Korea JoongAng Daily on MSNWith Samsung family donation, SNUH professors find breakthrough in pediatric brain cancerProf. Kim Seung-ki, a neurosurgeon at Seoul National University Hospital, led the discovery of a shared biological component ...
Scans often identify MS lesions in the periventricular white matter of the brain, the optic nerves, or the spinal cord. A contrast MRI can help doctors identify any active lesions. These types of ...
The word "myelopathy" means a problem with the spinal cord, which can lead to numbness, weakness, dysautonomia (group of conditions causing problems with involuntary movements), and more. There are ...
ABSTRACT: Background and Purpose: Spinal cord injury (SCI) manifests as a central nervous system disorder causing ... Mechanistically, overexpression of SIRT1 inhibits the expression of TRIB3 by ...
Corresponding hyperintense lesions in the posterior column of the spinal cord were found in two patients by T2 weighted MRI. Damage to the central motor pathway was identified in four patients.
Any size tumor alone with any lymph node status (none, nearby nodes positive, or distant nodes positive) plus metastases to another region of the body (M1). Tests to diagnose prostate cancer may ...
13 天
BuzzFeed on MSN"He Told Me I Had An STD": People Are Sharing Their Misdiagnosis Stories, And It's FrustratingNote: Some entries have been edited for length/clarity.
A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.
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