Evidence map›Paper›PMID 41035586›Full record

ArticleCureus2025

Evaluation of Acromiohumeral Interval on Chest Radiographs in Predicting Rotator Cuff Pathology: A Cross-Sectional Study.

Vamsi Venkat, Anil K Sakalecha, Mahima Kale R, Harshini Reddy

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

4 authors.

Vamsi VenkatDepartment of Radio-Diagnosis, Sri Devaraj Urs Medical College, Kolar, IND.
Anil K SakalechaDepartment of Radio-Diagnosis, Sri Devaraj Urs Medical College, Kolar, IND.
Mahima Kale RDepartment of Radio-Diagnosis, Sri Devaraj Urs Medical College, Kolar, IND.
Harshini ReddyDepartment of Radio-Diagnosis, Sri Devaraj Urs Medical College, Kolar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The acromiohumeral interval (AHI) on shoulder radiographs is a useful measure of the subacromial space. Prior studies have shown that a narrowed AHI (typically <6-7 mm) is often associated with large, full-thickness rotator cuff tears. However, it remains uncertain whether AHI can reliably detect partial-thickness tears or smaller tears. This knowledge gap limits the clinical utility of using routine radiographs to predict rotator cuff pathology. Purpose This study aimed to evaluate the AHI measured on standard chest radiographs as a diagnostic marker for rotator cuff tears, and correlate the radiographic AHI with tear severity as confirmed on shoulder MRI. We sought to determine whether an AHI narrowing on a chest X-ray could predict the presence and extent (partial vs. full-thickness) of rotator cuff tears. Methods We conducted a cross-sectional study over three months at a tertiary hospital. Adult patients with clinical suspicion of rotator cuff injury undergoing routine chest radiographs (posteroanterior view including the shoulders) were enrolled. Those with a history of shoulder surgery, recent trauma, or metal implants were excluded. The AHI was measured on the radiograph for each shoulder; an AHI <7 mm was predefined as positive for rotator cuff tear. All patients subsequently underwent shoulder MRI, which served as the reference standard for diagnosing and grading rotator cuff tears (intact tendon vs. partial-thickness vs. full-thickness tear). The required sample size was calculated using a two-mean comparison formula, yielding a minimum of 85 subjects; we enrolled 90 to account for dropouts. Radiographic measurements were performed by two independent observers, and MRI findings were interpreted by a radiologist blind to the X-ray results. Diagnostic performance of AHI <7 mm for rotator cuff tears was assessed. Results A total of 90 patients (mean age ~60 years) were evaluated. MRI confirmed rotator cuff tears in 63 shoulders (38 full-thickness, 25 partial-thickness); 27 had intact cuffs. Mean AHI was significantly lower in full-thickness tears (~6 mm) compared to partial tears or intact tendons (~8-9 mm; p < 0.001). An AHI <7 mm on chest radiograph showed high specificity (~95%) and a positive predictive value (~90%) for full-thickness tears but limited sensitivity (~50%), as most partial tears had AHI ≥7 mm. In full-thickness tears, AHI <7 mm identified ~80% of cases. AHI negatively correlated with tear severity on MRI (r ≈ -0.6, p < 0.001). Conclusion The AHI measured on routine chest radiographs provides a simple, highly specific indicator of rotator cuff tears. A markedly narrowed AHI (<7 mm) on a radiograph strongly predicts the presence of a full-thickness rotator cuff tear and correlates with more advanced tear severity on MRI. However, a normal AHI does not exclude rotator cuff pathology, i.e., partial-thickness tears and smaller tears often show a preserved AHI, limiting sensitivity. These findings suggest that while AHI assessment on plain radiographs can aid in identifying patients likely to have major rotator cuff tears (and thus expedite definitive imaging or surgical referral), it should be used in conjunction with clinical evaluation. Radiographs remain a valuable initial tool in shoulder pain, but an AHI ≥7 mm cannot rule out a tear.

Indexed as

acromiohumeral interval (ahi)full-thickness tearpartial-thickness tearrotator cuff tearsubacromial space

Identifiers

PMID41035586
PMCPMC12481001

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.