Publications by authors named "W David Walter"
Objective: To evaluate the Neuropathy Score-Reporting and Data System (NS-RADS) MRI grading system in conjunction with electrodiagnostic (EDx) testing for radial neuropathy at the elbow.
Materials And Methods: Patients presenting between 2010 and 2023 with suspected radial neuropathy who underwent both EDx testing in the form of electromyography and nerve conduction studies and MRI within a 12-month period were evaluated. Three blinded radiologists used the NS-RADS grading system to evaluate nerve entrapment (E grades), muscle denervation (M grades) proximally within the supinator/extensor carpi radialis brevis (ECRB), and more distally within the forearm extensor muscles.
Article Synopsis
- Caring for newborns limits mammalian females' ability to gather resources, especially during the energy-demanding early lactation period.
- Different ungulates have developed various strategies for protecting their vulnerable newborns, from staying hidden to being mobile, which can influence their mothers' movement patterns.
- A study of 54 populations of 23 ungulate species shows that maternal movements are affected by the resource availability and type of neonatal strategy, highlighting the importance of these tactics in understanding how species adapt to environmental changes.
(1) Background: Imageless computer navigation systems have the potential to improve the accuracy of acetabular cup position in total hip arthroplasty (THA). Popular imageless navigation methods include locating the patient in a three-dimensional space (registration method) while using a baseline to angle the acetabular cup (reference plane). This study aims to compare the accuracy of different methods for determining postoperative acetabular cup positioning in THA via the direct anterior approach.
View Article and Find Full Text PDFRadiographic landmark annotation determines patients' anatomical parameters and influences diagnoses. However, challenges arise from ambiguous region-based definitions, human error, and image quality variations, potentially compromising patient care. Additionally, AI landmark localization often presents its predictions in a probability-based heatmap format, which lacks a corresponding clinical standard for accuracy validation.
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- B-acute lymphoblastic leukaemia (B-ALL) is a blood cancer characterized by the uncontrolled growth of immature B lymphoblasts due to issues in the blood-forming system.
- Genetic testing has become crucial for accurately classifying B-ALL and determining patient risk, as traditional methods often failed to assign about 30% of cases.
- Recent advancements in genomic technologies, like whole-genome sequencing and optical genome mapping, are improving diagnosis and treatment, offering new insights into personalized care and more accurate prognostic markers for patients with B-ALL.