Publications by authors named "D H Haynor"
Spine metastases (SMs) are common, arising in 70% of the cases of the most prevalent malignancies in males (prostate cancer) and females (breast cancer). Stereotactic body radiotherapy, or SBRT, has been incorporated into clinical treatment algorithms over the past decade. SBRT has shown promising rates of local control for oligometastatic spinal lesions with low radiation dose to adjacent critical tissues, particularly the spinal cord.
View Article and Find Full Text PDFAlzheimer's disease (AD) is the leading cause of dementia in older adults. Although AD progression is characterized by stereotyped accumulation of proteinopathies, the affected cellular populations remain understudied. Here we use multiomics, spatial genomics and reference atlases from the BRAIN Initiative to study middle temporal gyrus cell types in 84 donors with varying AD pathologies.
View Article and Find Full Text PDFUnlabelled: Automated screening for vertebral fractures could improve outcomes. We achieved an AUC-ROC = 0.968 for the prediction of moderate to severe fracture using a GAM with age and three maximal vertebral body scores of fracture from a convolutional neural network.
View Article and Find Full Text PDFArticle Synopsis
- Vertebral compression fractures are often linked to osteoporosis but are frequently missed by radiologists, prompting the development of an automated tool for better detection.
- A study utilized data from the Osteoporotic Fractures in Men Study to train two machine learning models (U-Net and Mask-RCNN) for identifying vertebral bodies in lateral radiographs, achieving high accuracy metrics.
- The ensemble model combining both methods demonstrated the best performance, especially for severely fractured vertebrae, and showed effectiveness when tested on external data.
Background: Longitudinal magnetic resonance imaging (MRI) has been proposed for tracking the progression of Alzheimer's disease (AD) through the assessment of brain atrophy.
Objective: Detection of brain atrophy patterns in patients with AD as the longitudinal disease tracker.
Methods: We used a refined version of orthonormal projective non-negative matrix factorization (OPNMF) to identify six distinct spatial components of voxel-wise volume loss in the brains of 83 subjects with AD from the ADNI3 cohort relative to healthy young controls from the ABIDE study.