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ArticleEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2026

Integration of arterial and angiosome injury into computed tomography (CT) soft-tissue zone of injury models for open OTA 42A-C tibia fractures.

Amelia R Goldstein, Natalie Vu, Abhishek Ganta, Kenneth A Egol, Sanjit R Konda

Abstract readMulticenter Study
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Article in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Amelia R GoldsteinNew York University Langone Orthopedic Hospital, New York, United States.
Natalie VuNew York University Langone Orthopedic Hospital, New York, United States.
Abhishek GantaNew York University Langone Orthopedic Hospital, New York, United States.
Kenneth A EgolNew York University Langone Orthopedic Hospital, New York, United States.
Sanjit R KondaNew York University Langone Orthopedic Hospital, New York, United States. sanjit.konda@nyulangone.org.

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No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate whether incorporation of arterial injury into CT-based zone-of-injury (ZOI) models improves complication prediction after open tibial shaft fractures.

methodsA retrospective cohort study was conducted at an urban multicenter academic hospital (2012-2024). Patients ≥ 18 years with open OTA 42A-C tibia fractures, preoperative CT, and ≥ 6 months follow-up were included. Arterial injury and wound location within the anterior tibial, posterior tibial, or peroneal angiosomes were identified on CT angiography. Soft-tissue ZOI (longitudinal extent of soft-tissue air) and fracture ZOI (fracture span) were normalized to tibial length. The primary outcome was a composite complication of fracture-related infection, nonunion, or amputation. Logistic regression identified predictors, and ROC analysis compared discrimination of (1) an angiosome-augmented ZOI model, (2) a standard ZOI model, and (3) Gustilo-Anderson classification.

resultsEighty-two patients were included: 32 (39.0%) developed major complications. Arterial injury was present in 11 patients and significantly associated with complications (72.7% vs 33.8%, p = 0.020). The augmented ZOI model included arterial injury, anterior angiosome involvement, number of angiosomes affected, normalized soft-tissue ZOI, and BMI (AUROC 0.777), outperforming the standard ZOI model (AUROC 0.707) and Gustilo-Anderson classification (AUROC 0.592). DeLong testing showed no significant difference between ZOI and the augmented model.

conclusionThe original CT-based ZOI model, which incorporates soft-tissue injury measurements normalized to tibial length and BMI, remains a robust objective predictor of complications following open tibial shaft fractures, consistent with prior published work. While arterial injury is associated with adverse outcomes, its addition to ZOI-based models does not significantly improve predictive performance. Notably, only the arterial-augmented ZOI model demonstrated a statistically significant improvement in discrimination over the Gustilo-Anderson classification, whereas the standard ZOI model did not reach significance in this cohort, suggesting that augmentation may be necessary to meaningfully surpass subjective wound grading. LEVEL OF EVIDENCE: III.

Indexed as

Computed Tomography AngiographyFractures, OpenPostoperative ComplicationsSoft Tissue InjuriesTibial FracturesVascular System InjuriesAdultAgedAmputation, SurgicalFemaleHumansMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedAngiosomeArterial injuryOpen tibiaZone of injury

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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.