ReviewThe British journal of radiology2019
Imaging appearance following surgical decompression of the ulnar nerve.
Review in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Noninvasive assessment of chronic rejection in kidney transplant recipients with linear probe shear wave elastography.Journal of ultrasound · 2026Article
- Ultrasound evaluation of the ulnar nerve in cubital tunnel syndrome: anatomy, normal and abnormal findings, and postoperative aspects.Journal of ultrasonography · 2026Review
- Geometric and biomechanical perspectives on ulnar nerve compression in cubital tunnel syndrome: pathomechanics and surgical strategies.Annals of medicine and surgery (2012) · 2026Review
- Diagnostic ultrasonography of upper extremity dynamic compressive neuropathies in athletes: A narrative review.International orthopaedics · 2025Review
- Cubital tunnel syndrome: anatomy, pathology, and imaging.Skeletal radiology · 2025Review
- Update on elbow arthroplasties with emphasis on imaging.Polish journal of radiology · 2024Review
- Ulnar neuropathy at the elbow: associations of pre-operative DTI parameters with clinical outcomes after cubital tunnel decompression.European radiology · 2023Article
- Anatomical Study of the Ventral Upper Arm Muscles with a Case Report of the Accessory Coracobrachialis Muscle.Medicina (Kaunas, Lithuania) · 2023Article
- Possible Points of Ulnar Nerve Entrapment in the Arm and Forearm: An Ultrasound, Anatomical, and Histological Study.Diagnostics (Basel, Switzerland) · 2023Article
- Comparison ofMolecular imaging and biology · 2022Article
- Imaging the intermuscular septum in the context of ulnar neuropathy.Skeletal radiology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ulnar neuropathy at the elbow is the second most common entrapment neuropathy of the upper extremity. Yet, there is a paucity of literature focusing on the imaging appearance following surgical decompression of the ulnar nerve at the elbow. Diagnostic imaging studies obtained after surgical decompression at The University of Michigan were reviewed and imaging findings were documented. We aim to describe the various techniques of ulnar nerve decompression and corresponding post-operative appearance on imaging. Potential complications following decompression will also be described with imaging and clinical correlation of recalcitrant ulnar neuropathy. It is important for the radiologist who performs MRI or ultrasound of the elbow to be aware of the various ulnar nerve decompression procedures. This knowledge will facilitate rapid and accurate diagnosis of normal and abnormal appearance of the ulnar nerve in this context.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.