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Record W4415285913 · doi:10.1097/phm.0000000000002796

Cryoneurolysis for the Forearm in Spasticity Management

2025· article· en· W4415285913 on OpenAlexaff
Daniel Vincent, Paul Winston

Bibliographic record

VenueAmerican Journal of Physical Medicine & Rehabilitation · 2025
Typearticle
Languageen
FieldMedicine
TopicMuscle and Compartmental Disorders
Canadian institutionsVictoria General HospitalUniversity of British ColumbiaIsland Health
Fundersnot available
KeywordsForearmUlnar nerveWristSpasticityMedian nerveNerve blockSensory systemThumb

Abstract

fetched live from OpenAlex

The ulnar and median nerves innervate important muscles, frequently involved in upper limb spasticity, patterns, including the clenched fist, thumb in palm, wrist flexion, and forearm pronation. Nerve-targeted procedures, including diagnostic nerve block (DNB) and cryoneurolysis, are increasingly used in spasticity management. Percutaneous cryoneurolysis is a minimally invasive, ultrasound-guided procedure recently utilized as a novel treatment for spasticity.1 Winston et al. have shown that cryoneurolysis can provide long-lasting changes in spasticity measurements and function, reduce pain, and improve participants’ satisfaction.1 Unlike phenol and alcohol, cryoneurolysis is often targeted directly at sensory and mixed-sensorimotor nerves, and being drug-free has unlimited targets for a patient, provided the DNB found no unwanted sensory disturbances.1–3 This video gallery demonstrates ultrasound-guided DNB and cryoneurolysis. Ultrasound allows for direct visualization of the nerve trunks, their individual branches, and those within the muscles.2 The addition of electrical stimulation maximizes the precise identification of these targets.2 The use of a linear transducer in the transverse axis is recommended. Locating blood vessels also helps identify the adjacent nerve branches, as seen in the video, https://links.lww.com/PHM/C782.3 Understanding the anatomy is crucial to localizing the nerves and their branches and avoiding the blood vessels.1 The following is a brief discussion regarding the relevant anatomy of the median and ulnar nerves, focusing on the forearm. The median nerve is formed by the union of the medial and lateral roots of the brachial plexus. The nerve descends from lateral to the brachial artery proximally to its medial side at the elbow. Below the cubital fossa, it passes between the two heads of pronator teres and then deep to the flexor digitorum superficialis. Near the elbow, the median nerve gives muscular branches, first to the pronator teres and then to the flexor carpi radialis, palmaris longus, and flexor digitorum superficialis (Fig. 1A). Distal to the pronator teres, the anterior interosseous membrane branches from the median nerve and gives off branches to the flexor digitorum profundus, flexor pollicis longus, and pronator quadratus. Distally, the median nerve provides sensory branches and motor innervation to the thenar muscles.1FIGURE 1: A, Ultrasound image of the forearm flexors below the elbow innervated by the median nerve. B, The ultrasound image of the flexor carpi ulnaris with the mixed sensorimotor ulnar nerve trunk below.The ulnar nerve originates from the medial cord of the brachial plexus. In the arm, it runs close to the brachial vessels in the flexor compartment before traveling to the extensor compartment in the lower third of the arm. The ulnar nerve gives off no branches in the arm. The nerve then passes posterior to the medial epicondyle. It enters the forearm, passing between the humeral and ulnar heads of flexor carpi ulnaris, before it travels between the flexor carpi ulnaris and the flexor digitorum profundus muscles. Just distal to the cubital tunnel, the nerve gives off the first motor branch to the flexor carpi ulnaris (Fig. 1B) and then to the flexor digitorum profundus to the fourth and fifth digits. It is important to note that the ulnar artery lies on the lateral side of the ulnar nerve in the distal two-thirds of the forearm. Distally, the ulnar nerve provides sensory branches to the hand and motor innervation to most hand-intrinsic muscles.1

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.319
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2025
Admission routes1
Has abstractyes

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