Literature DB >> 15290561

Can CT predict the source of arterial hemorrhage in patients with pelvic fractures?

Meghan Kelly Sheridan1, C Craig Blackmore, Ken F Linnau, Eric K Hoffer, Friedrich Lomoschitz, Gregory J Jurkovich.   

Abstract

The objective of the study was to evaluate the ability of hemorrhage site and location as demonstrated on pelvic CT to predict the source of arterial hemorrhage in patients with traumatic pelvic fractures. CT scans of 104 consecutive patients who had sustained traumatic pelvic fracture and undergone emergent pelvic angiography were digitized, and fracture-related hemorrhage area and volume were measured at multiple locations within the pelvis. Clots that measured greater than 10 cm(2) were compared to angiographic results. The chi(2) test was used to find locations on CT that were significantly associated with specific arterial injuries found on angiography. Sixty-one (58%) of the patients had arterial bleeding at angiography. The most commonly injured arteries were the internal pudendal and the superior gluteal. Specific locations on CT were statistically significant indicators of injury to the superior gluteal artery (relative risk=2.9, 95% CI 1.2-7.3, P=0.013), the anterior division of the internal iliac artery (relative risk=3.2, 95% CI 1.4-4.1, P=0.006), and the internal pudendal arteries (relative risk=2.0, 95% CI 1.1-4.0, P=0.037). More blood was visible on CT when an artery was injured (mean volume with negative angiogram=318 ml, mean volume with positive angiogram=554 ml, ( P=0.007)). The rectus sheath region at the top of the iliac crest ( P=0.004), pelvic sidewalls at the L5-S1 disk space level ( P=0.001), and gluteal regions also at the L5-S1 disk space level ( P=0.012) were significant indicators of a positive arteriogram. CT can help predict the specific bleeding artery to potentially guide angiographic intervention.

Entities:  

Year:  2002        PMID: 15290561     DOI: 10.1007/s10140-002-0237-4

Source DB:  PubMed          Journal:  Emerg Radiol        ISSN: 1070-3004


  9 in total

Review 1.  [Shock trauma room management of pelvic injuries. A systematic review of the literature].

Authors:  A Seekamp; M Burkhardt; T Pohlemann
Journal:  Unfallchirurg       Date:  2004-10       Impact factor: 1.000

Review 2.  [Pelvic and perineal trauma. Diagnosis and interventional radiotherapy].

Authors:  M Galanski
Journal:  Chirurg       Date:  2006-09       Impact factor: 0.955

Review 3.  Endovascular management of pelvic trauma.

Authors:  Arlene Weir; Padraic Kennedy; Stella Joyce; David Ryan; Liam Spence; Mark McEntee; Michael Maher; Owen O'Connor
Journal:  Ann Transl Med       Date:  2021-07

4.  Role of multidetector-row CT in assessing the source of arterial haemorrhage in patients with pelvic vascular trauma. Comparison with angiography.

Authors:  A Pinto; R Niola; G Tortora; G Ponticiello; G Russo; L Di Nuzzo; N Gagliardi; M Scaglione; S Merola; C Stavolo; F Maglione; L Romano
Journal:  Radiol Med       Date:  2010-01-15       Impact factor: 3.469

5.  [Interventional emergency embolization for severe pelvic ring fractures with arterial bleeding. Integration into the early clinical treatment algorithm].

Authors:  J Westhoff; H Laurer; S Wutzler; H Wyen; M Mack; B Maier; I Marzi
Journal:  Unfallchirurg       Date:  2008-10       Impact factor: 1.000

6.  Pelvic CT angiography: application to blunt trauma using 64MDCT.

Authors:  Jennifer Uyeda; Stephan W Anderson; Jennifer Kertesz; Jorge A Soto
Journal:  Emerg Radiol       Date:  2009-07-09

Review 7.  Endovascular Management of Pelvic Trauma.

Authors:  Husameddin El Khudari; Ahmed Kamel Abdel Aal
Journal:  Semin Intervent Radiol       Date:  2021-04-15       Impact factor: 1.513

Review 8.  Embolization in Trauma: Review of Basic Principles and Techniques.

Authors:  Jorge E Lopera
Journal:  Semin Intervent Radiol       Date:  2021-04-15       Impact factor: 1.513

9.  Volumetric Markers of Body Composition May Improve Personalized Prediction of Major Arterial Bleeding After Pelvic Fracture: A Secondary Analysis of the Baltimore CT Prediction Model Cohort.

Authors:  David Dreizin; Remberto Rosales; Guang Li; Hassan Syed; Rong Chen
Journal:  Can Assoc Radiol J       Date:  2020-09-10       Impact factor: 2.248

  9 in total

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