Literature DB >> 25680714

The ribs unfolded - a CT visualization algorithm for fast detection of rib fractures: effect on sensitivity and specificity in trauma patients.

Helmut Ringl1, Mathias Lazar, Michael Töpker, Ramona Woitek, Helmut Prosch, Ulrika Asenbaum, Csilla Balassy, Daniel Toth, Michael Weber, Stefan Hajdu, Grzegorz Soza, Andreas Wimmer, Thomas Mang.   

Abstract

OBJECTIVE: To assess a radiologist's detection rate of rib fractures in trauma CT when reading curved planar reformats (CPRs) of the ribs compared to reading standard MPRs.
METHODS: Two hundred and twenty trauma CTs (146 males, 74 females) were retrospectively subjected to a software algorithm to generate CPRs of the ribs. Patients were split into two equal groups. Sixteen patients were excluded due to insufficient segmentation, leaving 107 patients in group A and 97 patients in group B. Two radiologists independently evaluated group A using CPRs and group B using standard MPRs. Two different radiologists reviewed both groups with the inverse methods setting. Results were compared to a standard of reference created by two senior radiologists.
RESULTS: The reference standard identified 361 rib fractures in 61 patients. Reading CPRs showed a significantly higher overall sensitivity (P < 0.001) for fracture detection than reading standard MPRs, with 80.9% (584/722) and 71.5% (516/722), respectively. Mean reading time was significantly shorter for CPRs (31.3 s) compared to standard MPRs (60.7 s; P < 0.001).
CONCLUSION: Using CPRs for the detection of rib fractures accelerates the reading of trauma patient chest CTs, while offering an increased overall sensitivity compared to conventional standard MPRs. KEY POINTS: • In major blunt trauma, rib fractures are diagnosed with Computed Tomography. • Image processing can unfold all ribs into a single plane. • Unfolded ribs can be read twice as fast as axial images. • Unfolding the ribs allows a more accurate diagnosis of rib fractures.

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Year:  2015        PMID: 25680714     DOI: 10.1007/s00330-015-3598-2

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  21 in total

1.  Comparison of diagnostic accuracy and interpretation times for a standard and an advanced 3D visualisation technique in CT colonography.

Authors:  Thomas Mang; Frank T Kolligs; Claus Schaefer; Maxmilian F Reiser; Anno Graser
Journal:  Eur Radiol       Date:  2010-10-03       Impact factor: 5.315

Review 2.  CT colonography: techniques, indications, findings.

Authors:  Thomas Mang; Anno Graser; Wolfgang Schima; Andrea Maier
Journal:  Eur J Radiol       Date:  2007-01-16       Impact factor: 3.528

3.  Delayed hemothorax after blunt thoracic trauma: an uncommon entity with significant morbidity.

Authors:  B J Simon; Q Chu; T A Emhoff; V M Fiallo; K F Lee
Journal:  J Trauma       Date:  1998-10

4.  Assessing the true risk of abdominal solid organ injury in hospitalized rib fracture patients.

Authors:  E Shweiki; J Klena; G C Wood; M Indeck
Journal:  J Trauma       Date:  2001-04

5.  Intracranial hematomas at a glance: advanced visualization for fast and easy detection.

Authors:  Helmut Ringl; Florian Stiassny; Wolfgang Schima; Michael Toepker; Christian Czerny; Gerd Schueller; Ulrika Asenbaum; Julia Furtner; Stefan Hajdu; Wolfgang Serles; Michael Weber; Christian J Herold
Journal:  Radiology       Date:  2012-12-13       Impact factor: 11.105

6.  Incremental benefit of computer-aided detection when used as a second and concurrent reader of CT colonographic data: multiobserver study.

Authors:  Steve Halligan; Susan Mallett; Douglas G Altman; Justine McQuillan; Maria Proud; Gareth Beddoe; Lesley Honeyfield; Stuart A Taylor
Journal:  Radiology       Date:  2010-11-17       Impact factor: 11.105

7.  Missed rib fractures on evaluation of initial chest CT for trauma patients: pattern analysis and diagnostic value of coronal multiplanar reconstruction images with multidetector row CT.

Authors:  S H Cho; Y M Sung; M S Kim
Journal:  Br J Radiol       Date:  2012-04-18       Impact factor: 3.039

8.  Addressing the coming radiology crisis-the Society for Computer Applications in Radiology transforming the radiological interpretation process (TRIP) initiative.

Authors:  Katherine P Andriole; Richard L Morin; Ronald L Arenson; John A Carrino; Bradley J Erickson; Steven C Horii; David W Piraino; Bruce I Reiner; J Anthony Seibert; Eliot Siegel
Journal:  J Digit Imaging       Date:  2004-11-25       Impact factor: 4.056

9.  Effect of computer-aided detection for CT colonography in a multireader, multicase trial.

Authors:  Abraham H Dachman; Nancy A Obuchowski; Jeffrey W Hoffmeister; J Louis Hinshaw; Michael I Frew; Thomas C Winter; Robert L Van Uitert; Senthil Periaswamy; Ronald M Summers; Bruce J Hillman
Journal:  Radiology       Date:  2010-07-27       Impact factor: 11.105

10.  CT diagnosis of Rib fractures and the prediction of acute respiratory failure.

Authors:  David H Livingston; Benjamin Shogan; Preeti John; Robert F Lavery
Journal:  J Trauma       Date:  2008-04
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  15 in total

1.  New bone post-processing tools in forensic imaging: a multi-reader feasibility study to evaluate detection time and diagnostic accuracy in rib fracture assessment.

Authors:  Philip A Glemser; Michael Pfleiderer; Anna Heger; Jan Tremper; Astrid Krauskopf; Heinz-Peter Schlemmer; Kathrin Yen; David Simons
Journal:  Int J Legal Med       Date:  2016-07-22       Impact factor: 2.686

2.  Use of whole body CT to detect patterns of CPR-related injuries after sudden cardiac arrest.

Authors:  Gregor M Dunham; Alexandre Perez-Girbes; Ferdia Bolster; Kellie Sheehan; Ken F Linnau
Journal:  Eur Radiol       Date:  2017-11-09       Impact factor: 5.315

3.  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

4.  Effect of Bone Reading CT software on radiologist performance in detecting bone metastases from breast cancer.

Authors:  Ji Y Ha; Kyung N Jeon; Kyungsoo Bae; Bong H Choi
Journal:  Br J Radiol       Date:  2017-03-03       Impact factor: 3.039

5.  Effects of different virtual monoenergetic CT image data on chest wall post-processing "unfolded ribs" and proposal of an algorithm improvement.

Authors:  Florian Hagen; Rainer Grimmer; Hendrik Ditt; Lukas Walder; Robin Wrazidlo; Baumgartner Karolin; Johannes Hofmann; Arne Estler; Marius Horger
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-08-13       Impact factor: 3.421

6.  Is it Necessary to Stabilize Every Fracture in Patients with Serial Rib Fractures in Blunt Force Trauma?

Authors:  Sebastian Reindl; Philipp Jawny; Evaldas Girdauskas; Stephan Raab
Journal:  Front Surg       Date:  2022-06-09

7.  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

8.  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

9.  Low-dose CT examination for rib fracture evaluation: A pilot study.

Authors:  Liang Jin; Xiaojun Ge; Fang Lu; Yingli Sun; Cheng Li; Pan Gao; Feng Gao; Ming Li
Journal:  Medicine (Baltimore)       Date:  2018-07       Impact factor: 1.889

10.  Chest radiographs versus CT for the detection of rib fractures in children (DRIFT): a diagnostic accuracy observational study.

Authors:  Susan C Shelmerdine; Dean Langan; John C Hutchinson; Melissa Hickson; Kerry Pawley; Joseph Suich; Liina Palm; Neil J Sebire; Angela Wade; Owen J Arthurs
Journal:  Lancet Child Adolesc Health       Date:  2018-09-22
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