Literature DB >> 28559032

Rib Fracture Diagnosis in the Panscan Era.

Charles E Murphy1, Ali S Raja2, Brigitte M Baumann3, Anthony J Medak4, Mark I Langdorf5, Daniel K Nishijima6, Gregory W Hendey7, William R Mower8, Robert M Rodriguez9.   

Abstract

STUDY
OBJECTIVE: With increased use of chest computed tomography (CT) in trauma evaluation, traditional teachings in regard to rib fracture morbidity and mortality may no longer be accurate. We seek to determine rates of rib fracture observed on chest CT only; admission and mortality of patients with isolated rib fractures, rib fractures observed on CT only, and first or second rib fractures; and first or second rib fracture-associated great vessel injury.
METHODS: We conducted a planned secondary analysis of 2 prospectively enrolled cohorts of the National Emergency X-Radiography Utilization Study chest studies, which evaluated patients with blunt trauma who were older than 14 years and received chest imaging in the emergency department. We defined rib fractures and other thoracic injuries according to CT reports and followed patients through their hospital course to determine outcomes.
RESULTS: Of 8,661 patients who had both chest radiograph and chest CT, 2,071 (23.9%) had rib fractures, and rib fractures were observed on chest CT only in 1,368 cases (66.1%). Rib fracture patients had higher admission rates (88.7% versus 45.8%; mean difference 42.9%; 95% confidence interval [CI] 41.4% to 44.4%) and mortality (5.6% versus 2.7%; mean difference 2.9%; 95% CI 1.8% to 4.0%) than patients without rib fracture. The mortality of patients with rib fracture observed on chest CT only was not statistically significantly different from that of patients with fractures also observed on chest radiograph (4.8% versus 5.7%; mean difference -0.9%; 95% CI -3.1% to 1.1%). Patients with first or second rib fractures had significantly higher mortality (7.4% versus 4.1%; mean difference 3.3%; 95% CI 0.2% to 7.1%) and prevalence of concomitant great vessel injury (2.8% versus 0.6%; mean difference 2.2%; 95% CI 0.6% to 4.9%) than patients with fractures of ribs 3 to 12, and the odds ratio of great vessel injury with first or second rib fracture was 4.4 (95% CI 1.8 to 10.4).
CONCLUSION: Under trauma imaging protocols that commonly incorporate chest CT, two thirds of rib fractures were observed on chest CT only. Patients with rib fractures had higher admission rates and mortality than those without rib fractures. First or second rib fractures were associated with significantly higher mortality and great vessel injury.
Copyright © 2017 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2017        PMID: 28559032     DOI: 10.1016/j.annemergmed.2017.04.011

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  10 in total

1.  Improving rib fracture detection accuracy and reading efficiency with deep learning-based detection software: a clinical evaluation.

Authors:  Bin Zhang; Chunxue Jia; Runze Wu; Baotao Lv; Beibei Li; Fuzhou Li; Guijin Du; Zhenchao Sun; Xiaodong Li
Journal:  Br J Radiol       Date:  2020-12-17       Impact factor: 3.039

2.  Rib fracture detection in computed tomography images using deep convolutional neural networks.

Authors:  Masafumi Kaiume; Shigeru Suzuki; Koichiro Yasaka; Haruto Sugawara; Yun Shen; Yoshiaki Katada; Takuya Ishikawa; Rika Fukui; Osamu Abe
Journal:  Medicine (Baltimore)       Date:  2021-05-21       Impact factor: 1.817

3.  Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility.

Authors:  Qing Qing Zhou; Jiashuo Wang; Wen Tang; Zhang Chun Hu; Zi Yi Xia; Xue Song Li; Rongguo Zhang; Xindao Yin; Bing Zhang; Hong Zhang
Journal:  Korean J Radiol       Date:  2020-07       Impact factor: 3.500

4.  The importance of increased awareness for delirium in elderly patients with rib fractures after blunt chest wall trauma: a retrospective cohort study on risk factors and outcomes.

Authors:  Ties L Janssen; Elmand Hosseinzoi; Dagmar I Vos; Eelco J Veen; Paul G H Mulder; Adrianus M van der Holst; Lijckle van der Laan
Journal:  BMC Emerg Med       Date:  2019-06-13

5.  Impact of serratus plane block on pain scores and incentive spirometry volumes after chest trauma.

Authors:  Nadia Hernandez; Johanna de Haan; Dallis Clendeninn; David E Meyer; Semhar Ghebremichael; Carlos Artime; George Williams; Holger Eltzschig; Sudipta Sen
Journal:  Local Reg Anesth       Date:  2019-08-02

6.  Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography.

Authors:  Thomas Weikert; Luca Andre Noordtzij; Jens Bremerich; Bram Stieltjes; Victor Parmar; Joshy Cyriac; Gregor Sommer; Alexander Walter Sauter
Journal:  Korean J Radiol       Date:  2020-07       Impact factor: 3.500

7.  Cross-sectional imaging of the torso reveals occult injuries in asymptomatic blunt trauma patients.

Authors:  Gregory J Roberts; Lewis E Jacobson; Michelle M Amaral; Courtney D Jensen; Louis Cooke; Jacqueline F Schultz; Alexander J Kinstedt; Jonathan M Saxe
Journal:  World J Emerg Surg       Date:  2020-01-09       Impact factor: 5.469

8.  Rib fracture detection system based on deep learning.

Authors:  Liding Yao; Xiaojun Guan; Xiaowei Song; Yanbin Tan; Chun Wang; Chaohui Jin; Ming Chen; Huogen Wang; Minming Zhang
Journal:  Sci Rep       Date:  2021-12-06       Impact factor: 4.379

9.  Rib fractures after blunt thoracic trauma in patients with normal versus diminished bone mineral density: a retrospective cohort study.

Authors:  J T H Prins; E M M Van Lieshout; M R L Reijnders; M H J Verhofstad; M M E Wijffels
Journal:  Osteoporos Int       Date:  2019-12-11       Impact factor: 4.507

10.  Trends in incidence rate, health care use, and costs due to rib fractures in the Netherlands.

Authors:  Jonne T H Prins; Mathieu M E Wijffels; Sophie M Wooldrik; Martien J M Panneman; Michael H J Verhofstad; Esther M M Van Lieshout
Journal:  Eur J Trauma Emerg Surg       Date:  2021-04-12       Impact factor: 2.374

  10 in total

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