Evidence map›Paper›PMID 40276414›Full record

ArticleCureus2025

Diagnostic Performance of Articular Ultrasound Versus Magnetic Resonance Imaging in the Approach to Rotator Cuff Lesions at a Referral Hospital.

Daniel F Duque, Jose Luis Montoya Restrepo, Juan D Ayala Torres, Juan Llano, Amalia Patiño Rengifo

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Daniel F DuqueRadiology, Servicios de Salud San Vicente Fundación, Medellín, COL.
Jose Luis Montoya RestrepoRadiology, Universidad de Antioquia, Medellín, COL.
Juan D Ayala TorresRadiology, Universidad de Antioquia, Medellín, COL.
Juan LlanoRadiology, Universidad de Antioquia, Medellín, COL.
Amalia Patiño RengifoRadiology, Clínica Las Américas Auna, Medellín, COL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Rotator cuff injury is a leading cause of musculoskeletal pain and the most common shoulder pathology. It is characterized by pain and limited mobility, particularly during overhead activities, and is associated with factors such as age, trauma, occupation, limb dominance, and cardiovascular risk. Diagnosis requires clinical evaluation and imaging, with ultrasound being a cost-effective and accessible option, whereas MRI is preferred for persistent or ambiguous cases. However, MRI access may be restricted by geographical and economic constraints. Methodology A retrospective census was conducted at a fourth-level hospital in Medellín, Antioquia (2015-2020), following research committee approval. Patients over 18 years old with suspected rotator cuff injury who underwent arthroscopy and had MRI and ultrasound reports within six months were included. Imaging and surgical data were retrieved from Xen RIS HIRUKO and Matrix systems. Ultrasound was performed using a General Electric Logiq S8 (15 MHz transducer) (General Electric Healthcare, Chicago, IL) and a Toshiba Aplio 400 (18 MHz transducer) (Toshiba Medical Systems Corporation, Tokyo, Japan). MRI was conducted on a Philips Achieva 1.5 T (Philips Healthcare, Eindhoven, Netherlands) with standard musculoskeletal protocols. Data were collected independently, processed in Excel (Microsoft Corporation, Redmond, WA), and analyzed using STATA 14 (StataCorp LLC, College Station, TX). Quantitative variables were reported as means and standard deviations, with normality assessed using the Kolmogorov-Smirnov test, while qualitative variables were expressed as frequencies. Results Twenty-four patients (62.4 ± 12.2 years) had 27 rotator cuff injuries; eight (33.3%) were traumatic (all men), and 16 (66.7%) were degenerative. Right-sided lesions occurred in 12 (50%), left-sided in nine (37.5%), and bilateral in three (12.5%). The most common arthroscopic finding was a complete supraspinatus rupture in 16 shoulders (59%), followed by subscapularis partial ruptures not exceeding 50% in 10 shoulders (37%) and supraspinatus partial ruptures exceeding 50% in seven shoulders (26%). For supraspinatus evaluation, ultrasound detected 79% of lesions and MRI detected 75%, both achieving 93.7% sensitivity for complete ruptures. For partial ruptures exceeding 50%, both modalities demonstrated good specificity and predictive values but low sensitivity (42.8%), with an area under the curve (AUC) of 0.78 for complete ruptures. Regarding the subscapularis, MRI detected 54.5% of lesions compared to 26.3% detected by ultrasound, demonstrating higher specificity. In the infraspinatus, both modalities detected only one of two complete ruptures, with several false positives. Agreement with arthroscopy was moderate for the supraspinatus (kappa: ultrasound = 0.59; MRI = 0.448) and low for the subscapularis (kappa: ultrasound = 0.25; MRI = 0.56), with ultrasound performing better in traumatic cases. Conclusions This study provides a direct comparison between ultrasound and MRI in the evaluation of rotator cuff injuries, with arthroscopy as the reference standard. While both modalities were effective in detecting complete supraspinatus tears, MRI demonstrated greater accuracy for subscapularis tendon assessment. These findings support the continued use of ultrasound as a practical and reliable tool, particularly in resource-limited settings.

Indexed as

arthroscopydiagnostic imaging modalitiesmagnetic resonance imagingmagnetic resonance (mr)rotator cuff injuriesultrasonography (us)

Identifiers

PMID40276414
PMCPMC12020445

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.