Publications by authors named "Bayan Mogharrabi"
Article Synopsis
- The study aimed to evaluate how reliably different radiology readers can classify and diagnose peripheral neuropathy using the NS-RADS scoring system after receiving limited training.* -
- Thirty-two radiology readers with various experience levels participated and were assessed on their diagnostic accuracy and inter-reader agreement when applying the NS-RADS system to MRI cases.* -
- Results showed that both trainees and experienced radiologists demonstrated similar levels of accuracy, indicating that the NS-RADS system can effectively be used by non-expert readers for diagnosing PN conditions.*
Background: Lower back pain is often evaluated using magnetic resonance imaging (MRI) and conventional imaging, which provide incomplete information about the etiology of pain and lead to less than optimal management.
Hypothesis: MR neurography (MRN) of the lumbosacral (LS) plexus renders a more accurate diagnosis, alters the management strategy, and clinical outcomes of radiculopathy or failed back surgery Syndrome (FBSS) patients when compared to the conventional imaging modalities.
Study Type: Retrospective, cross-sectional.
Background And Purpose: Fascicular targeting of longitudinal intrafascicular electrode (FAST-LIFE) interface enables hand dexterity with exogenous electrical microstimulation for sensory restoration, custom neural recording hardware, and deep learning-based artificial intelligence for motor intent decoding. The purpose of this technical report from a prospective pilot study was to illustrate magnetic resonance neurography (MRN) mapping of hand and nerve anatomy in amputees and incremental value of MRN over electrophysiology findings in pre-surgical planning of FAST-LIFE interface (robotic hand) patients.
Materials And Methods: After obtaining informed consent, patients with upper extremity amputations underwent pre-operative 3-T MRN, X-rays, and electrophysiology.
Article Synopsis
- A standardized guideline and scoring system for diagnosing peripheral neuropathy using MR imaging, known as the Neuropathy Score Reporting and Data System (NS-RADS), has been developed and will be published in AJR.
- The NS-RADS classification covers a range of neuropathic conditions, including nerve injuries and entrapments, and describes the changes seen in MR imaging over time.
- This review article explains the NS-RADS classification, its technical aspects, and provides insights on how to use it for better communication among healthcare providers and enhanced patient care.
3D isotropic spine echo MR imaging of elbow: How it helps surgical decisions.
Eur J Radiol Open
March 2022
Elbow derangements are common. Clinical examination is supplemented by magnetic resonance imaging (MRI) for optimal diagnostic assessment of such disorders. 3-dimensional (3D) imaging is feasible on newer MR scanners in acceptable acquisition times.
View Article and Find Full Text PDFArticle Synopsis
- A new standardized guideline and scoring system called the Neuropathy Score Reporting and Data System (NS-RADS) was developed to improve MRI evaluations of peripheral neuropathy (PN).
- The study involved 100 patients and used consensus criteria from experts to classify PN into various categories, such as unremarkable, injury, neoplasia, and more, with subclasses indicating severity.
- Validation results showed high accuracy and inter-reader agreement, with correct diagnoses identified in 71-88% of cases and a 1.8% miscategorization rate, indicating the NS-RADS is reliable across various levels of reader experience.