Evidence map›Paper›PMID 40021499›Full record

ArticleSurgical and radiologic anatomy : SRA2025

Anatomical validation of the sonographic detection of small nervous structures.

Shalimar Abdullah, Muhammad Shafiq Azhar, Sabarul Afian Mokhtar, Lim Chia Hua, Elaine Soh Zi Fan, Juliana Fairuz Maktar, Suraya Aziz, Emilia Rosniza Mohammed Rusli, Aina Shamira Noor Hisham, Vaikunthan Rajaratnam

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Surgical and radiologic anatomy : SRA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Shalimar AbdullahOrthopaedics and Traumatology Department, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia.
Muhammad Shafiq AzharOrthopaedics and Traumatology Department, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia. shafiqazhar91@gmail.com.ORCID http://orcid.org/0000-0003-1364-4721
Sabarul Afian MokhtarOrthopaedics and Traumatology Department, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia.
Lim Chia HuaOrthopaedics and Traumatology Department, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia.
Elaine Soh Zi FanOrthopaedics and Traumatology Department, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia.
Juliana Fairuz MaktarMusculoskeletal Unit, Department of Radiology, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia.
Suraya AzizMusculoskeletal Unit, Department of Radiology, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia.
Emilia Rosniza Mohammed RusliMusculoskeletal Unit, Department of Radiology, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia.
Aina Shamira Noor HishamOrthopaedics and Traumatology Department, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia.
Vaikunthan RajaratnamDepartment of Orthopedics Surgery, Khoo Teck Puat Hospital, Yishun, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUltrasound is a primary imaging modality for diagnosing and managing nerve-related injuries, particularly for identifying peripheral nerve locations. However, its accuracy and reliability in surgical applications remain insufficiently explored, potentially limiting its utility in nerve surgery. PURPOSE: This study aims to assess the precision of ultrasound in identifying upper limb peripheral nerves by comparing ultrasonographic findings with direct human cadaveric dissection.

methodFourteen fresh-frozen upper limb specimens were examined in February 2023. Ultrasound assessments were performed by two experienced musculoskeletal radiologists using three linear probes (15 MHz, 24 MHz, and a 22 MHz hockey stick probe). Seven peripheral nerves were identified and marked using dye injections. Subsequent dissections were conducted under loupe magnification by hand surgeons.

resultThe recurrent motor branch of the median nerve exhibited the lowest discrepancy (mean 1.014 ± 1.459 mm) and the highest accuracy (64.29% of specimens). The greatest discrepancy was observed in the branch of the musculocutaneous nerve to the brachialis (mean 5.114 ± 3.758 mm). The interrater correlation coefficient (ICC) varied across nerve sites, ranging from - 6.298 to 0.795, with the highest ICC observed in the superficial branch of the ulnar nerve (0.795, 0.066).

conclusionThese findings suggest that ultrasound is a valid and effective tool for identifying peripheral nerve branches in the upper limb, particularly for superficial nerves. Improved accuracy in ultrasound-guided nerve identification may enhance surgical precision and reduce complications in nerve-related procedures.

Indexed as

Peripheral NervesUpper ExtremityAgedCadaverDissectionFemaleHumansMaleReproducibility of ResultsUltrasonographyCadaveric studyInterrater correlation coefficientPeripheral nervesTerminal nerve branchesUltrasoundUpper limb

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.