Neural network and logistic regression diagnostic prediction models for giant cell arteritis: development and validation.

Purpose: To develop and validate neural network (NN) vs logistic regression (LR) diagnostic prediction models in patients with suspected giant cell arteritis (GCA). Design: Multicenter retrospective chart review.

Methods: An audit of consecutive patients undergoing temporal artery biopsy (TABx) for suspected GCA was conducted at 14 international medical centers.

Multiple Cranial Nerve Palsies in Giant Cell Arteritis.

Giant cell arteritis (GCA) is a systemic vasculitis of medium and large arteries often with ophthalmic involvement, including ischemic optic neuropathy, retinal artery occlusion, and ocular motor cranial nerve palsies. This last complication occurs in 2%-15% of patients, but typically involves only 1 cranial nerve. We present 2 patients with biopsy-proven GCA associated with multiple cranial nerve palsies.

Traumatic disruption of the optic chiasm.

A 27-year-old man developed a persistent bitemporal hemianopia after severe head trauma sustained in a high-speed motor vehicle accident. The initial brain MRI revealed hemorrhagic contusion of the optic chiasm. A brain MRI performed 4 weeks later demonstrated complete chiasmal transection, a phenomenon rarely documented with imaging.

Unusually mild tuberous sclerosis phenotype is associated with TSC2 R905Q mutation.

Objective: To report the clinical manifestations and functional aspects of Tuberous Sclerosis Complex (TSC), resulting from Codon 905 mutations in TSC2 gene.

Methods: We performed a detailed study of the TSC phenotype and genotype in a large French-Canadian kindred (Family A). Subsequently, clinical and molecular data on 18 additional TSC families with missense mutations at the same codon of TSC2 were collected.