Journal of clinical imaging science
September 22, 2026 · via Europe PMC
Magnetic resonance imaging evaluation of oblique injuries: Introduction of the deadrise sign.
Welton W, Hanna N, Key V, Everist BM, Crist J.
AI summary — for doctors, generated from the abstract only
The deadrise sign is introduced for MRI of oblique abdominal wall injuries in athletes.
What was studied
Single-institution retrospective MRI review with anatomy, grading and treatment algorithms.
Key findings
- Injuries tear the internal oblique from lower ribs
- Introduces the deadrise sign
- Provides protocols and case examples
Clinical relevance
Helps sports radiologists.
Who should care
Limitations
Descriptive; no quantitative results.
Look for the deadrise sign in lateral abdominal wall injuries.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
Oblique injuries are a common sports-related injury to the lateral abdominal wall, most commonly caused by forceful trunk rotation, which tears the internal oblique from the undersurface of the lower ribs. Despite increased awareness and prevention efforts, these injuries remain a significant contributor to missed playing time. A single institution retrospective cohort review of oblique injury magnetic resonance images (MRIs) was performed, followed by a comprehensive review including relevant anatomy, grading considerations, and introduction of the deadrise sign, interpretation pearls, case examples, MRI protocols, and treatment algorithms.
DOI
10.25259/jcis_27_2025
PMID
42829554
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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