Literature DB >> 23238153

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

Helmut Ringl1, Florian Stiassny, Wolfgang Schima, Michael Toepker, Christian Czerny, Gerd Schueller, Ulrika Asenbaum, Julia Furtner, Stefan Hajdu, Wolfgang Serles, Michael Weber, Christian J Herold.   

Abstract

PURPOSE: To retrospectively assess the detection rate for intracranial hematomas achieved with use of curved maximum intensity projections (MIPs) that parallel the inner table of the skull compared with the rate achieved by reading transverse sections of computed tomography (CT) only.
MATERIALS AND METHODS: This retrospective study was approved by the institutional review board, which waived informed consent. A total of 314 consecutive patients who underwent CT for cranial trauma (155 male, 159 female; mean age ± standard deviation, 58 years ± 24 [range, 2-98 years]) were included. The algorithm unfolded the meningeal spaces into four images per patient. Four radiologists independently evaluated all cases. Hematomas less than 3 mm thick were considered thin. Radiologists were blinded to patient names, and patient and group orders were randomly assigned. The results were compared with a reference standard built by two experts. Logistic regression with repeated measurements was used for statistical analysis.
RESULTS: Use of the reference standard helped confirm 121 intracranial hematomas in 39 patients. For all readers, reading time for hematoma detection was significantly shorter (3-5 times shorter, P < .001) for curved MIPs. Mean lesion-based detection rate for all readers was 80% (193 of 242) for transverse sections and 83% (200 of 242) for curved MIPs. For thin hematomas, the mean detection rate increased from 20% (eight of 40) with transverse sections to 83% (33 of 40) with curved MIPs.
CONCLUSION: Curved MIPs of the meningeal spaces may shorten detection time for epidural and subdural hematomas, increase sensitivity (especially for thin hematomas), and reduce the required operator experience for detection. © RSNA, 2013.

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Mesh:

Year:  2012        PMID: 23238153     DOI: 10.1148/radiol.12112389

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  4 in total

Review 1.  Severe Cranioencephalic Trauma: Prehospital Care, Surgical Management and Multimodal Monitoring.

Authors:  Luis Rafael Moscote-Salazar; Andres M Rubiano; Hernando Raphael Alvis-Miranda; Willem Calderon-Miranda; Gabriel Alcala-Cerra; Marco Antonio Blancas Rivera; Amit Agrawal
Journal:  Bull Emerg Trauma       Date:  2016-01

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

Authors:  Helmut Ringl; Mathias Lazar; Michael Töpker; Ramona Woitek; Helmut Prosch; Ulrika Asenbaum; Csilla Balassy; Daniel Toth; Michael Weber; Stefan Hajdu; Grzegorz Soza; Andreas Wimmer; Thomas Mang
Journal:  Eur Radiol       Date:  2015-02-14       Impact factor: 5.315

Review 3.  Subdural hygromas in abusive head trauma: pathogenesis, diagnosis, and forensic implications.

Authors:  D Wittschieber; B Karger; T Niederstadt; H Pfeiffer; M L Hahnemann
Journal:  AJNR Am J Neuroradiol       Date:  2014-06-19       Impact factor: 3.825

4.  [Importance of multidetector CT imaging in multiple trauma].

Authors:  U Linsenmaier; L L Geyer; M Körner; M Reiser; S Wirth
Journal:  Radiologe       Date:  2014-09       Impact factor: 0.635

  4 in total

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