Literature DB >> 30599847

Automatic rib cage unfolding with CT cylindrical projection reformat in polytraumatized patients for rib fracture detection and characterization: Feasibility and clinical application.

Ayla Urbaneja1, Jacques De Verbizier2, Anne-Sophie Formery2, Catalina Tobon-Gomez3, Lionel Nace4, Alain Blum2, Pedro Augusto Gondim Teixeira2.   

Abstract

OBJECTIVES: To assess the use of CT with unfolded cylindrical projection (UCP) for rib fracture detection and characterization.
METHODS: The images from 60 polytraumatized patients who underwent whole body CT were evaluated for the presence and characterization of rib fractures (displaced or not, single or multiple). Two readers independently evaluated conventional CT images and UCP images in two readout sessions at least one month apart. All readouts were timed. A gold standard was established by two radiologists with 12 and 22 years of clinical experience based on the combined analysis of conventional and UCP reformats.
RESULTS: Using UCP, the mean evaluation time was 27%-54% shorter (P = 0.01 and <0.0001) while maintaining a comparable diagnostic performance (sensitivity and specificity of 68.4-79.1% and 99.5-99.6% for conventional reformats and 70.6-91.0% and 96.8-97.7% for UCP) and a good reproducibility (Kappa of 0.71). The multiple fracture detection ratio of UCP was similar to that of conventional reformats (>80%). There were more false positives and false negatives using UCP and displaced fractures were harder to characterize.
CONCLUSION: UCP yielded a diagnostic performance similar to that of conventional reformats for the detection of rib fractures with a good reproducibility and a noticeable reduction in evaluation time.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Computed tomography; Image processing; Multiple trauma; Rib cage; Rib fractures

Mesh:

Year:  2018        PMID: 30599847     DOI: 10.1016/j.ejrad.2018.11.011

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  5 in total

1.  Automatic rib unfolding in postmortem computed tomography: diagnostic evaluation of the OpenRib software compared with the autopsy in the detection of rib fractures.

Authors:  Martin Kolopp; Nicolas Douis; Ayla Urbaneja; Cédric Baumann; Pedro Augusto Gondim Teixeira; Alain Blum; Laurent Martrille
Journal:  Int J Legal Med       Date:  2019-11-16       Impact factor: 2.686

2.  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

3.  Magnetic Resonance Imaging has Better Accuracy in Detecting New-Onset Rib Fractures as Compared to Computed Tomography.

Authors:  Tao Zhang; Jing Wu; Yu-Chen Chen; Xinying Wu; Lingquan Lu; Cunnan Mao
Journal:  Med Sci Monit       Date:  2021-01-11

4.  Automatic detection of rib fractures: Are we there yet?

Authors:  A Blum; R Gillet; A Urbaneja; P Gondim Teixeira
Journal:  EBioMedicine       Date:  2020-12-02       Impact factor: 8.143

5.  An Algorithm for Automatic Rib Fracture Recognition Combined with nnU-Net and DenseNet.

Authors:  Junzhong Zhang; Zhiwei Li; Shixing Yan; Hui Cao; Jing Liu; Dejian Wei
Journal:  Evid Based Complement Alternat Med       Date:  2022-02-25       Impact factor: 2.629

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.