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Diagnosis and Treatment of Incomplete Rotator Cuff Tears
Abstract
The histopathologic changes leading to rotator cuff rupture are gradual and progressive. Incomplete tears can be observed in the articular or bursal surface. These partial lesions are infrequently demonstrated with arthrography or bursography. Although structural variations in cuff integrity can be demonstrated with ultrasound or magnetic resonance imaging, precise definition of partial tears is difficult. The exact location and extent of incomplete tears can be documented with shoulder arthroscopy. Anterior acromioplasty, either open or arthroscopic, is indicated for the treatment of chronic mechanical impingement refractory to conservative management. When a sizable partial defect is identified at open surgery, the degenerated tissue is excised and the tendon is reattached to bone or repaired with side-to-side suture. Arthroscopic treatment consists of debridement of the torn cuff margins, followed by arthroscopic subacromial decompression (ASD). When the incomplete tear in an active individual involves more than one-half the cuff thickness, arthroscopic and open techniques can be combined. Twenty partial-thickness tears were encountered among 130 patients who had ASD for chronic impingement. Fifteen had a satisfactory result, but five required additional surgery. A system of grading partial-thickness tears based on location, depth, and area is presented in an effort to standardize the observations of various investigators and to permit comparison of the results of arthrosc…
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In the citing paper
“This repeated and consistent finding that tears are predominantly located within the tendon or on the articular side does not support the acromial impingement model.”
From Rotator cuff related shoulder pain: Assessment, management and uncertainties (2016) · cites this paper as Ellman, 1990
In the citing paper
“The argument that acromial irritation leads to RC pathology is not supported by observational studies.”
From Rotator cuff related shoulder pain: Assessment, management and uncertainties (2016) · cites this paper as Ellman, 1990
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Rotator cuff related shoulder pain: Assessment, management and uncertainties
Lewis, J. (2016) · Manual Therapy · doi:10.1016/j.math.2016.03.009 · Cited by 378
Metadata
- Authors
- ELLMAN, H.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- ELLMAN, HARVARD
- Venue
- Clinical Orthopaedics and Related Research
- Published
- 1990-05
- Volume
- 254
- Issue
- 254
- Pages
- 64-74
- ISSN
- 0009-921X (ISSN-L)
- OpenAlex
- W2010067329
- Cited by
- 678
- References
- 0
- Citations by year
- 2026: 16 · 2025: 31 · 2024: 28 · 2023: 38 · 2022: 23 · 2021: 32 · 2020: 29 · 2019: 39 · 2018: 26 · 2017: 38 · 2016: 31 · 2015: 23 · 2014: 30 · 2013: 27 · 2012: 28
- FWCI
- 6.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Orthopaedics and Related Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Surgery › Shoulder Injury and Treatment
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Tendon Structure and Treatment
- Health Sciences › Medicine › Surgery › Orthopedic Surgery and Rehabilitation
- Keywords
- partial-thickness rotator cuff tear, arthroscopic subacromial decompression, anterior acromioplasty, rotator cuff repair, rotator cuff debridement, shoulder arthroscopy
- MeSH terms
- Humans, Muscular Diseases, Rupture, Spontaneous, Shoulder Joint, Tendons
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- CoChat. (2026). Citation check: Diagnosis and Treatment of Incomplete Rotator Cuff Tears. https://app.cochat.ai/papers/10.1097/00003086-199005000-00010
- The paper
- ELLMAN, H. (1990). Diagnosis and Treatment of Incomplete Rotator Cuff Tears. Clinical Orthopaedics and Related Research. https://doi.org/10.1097/00003086-199005000-00010
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.