State of the art in post-mortem computed tomography: a review of current literature View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-01

AUTHORS

Niccolò Norberti, Paolina Tonelli, Claudia Giaconi, Cosimo Nardi, Martina Focardi, Gabriella Nesi, Vittorio Miele, Stefano Colagrande

ABSTRACT

Computed tomography (CT) and other advanced diagnostic imaging techniques are gaining popularity in forensic pathology. This paper aims to define and offer complete and easily accessible "state of the art" for post-mortem computed tomography (PMCT), by reviewing the latest international literature. The proposed format answers the "five Ws" that follows: (1) What: We report the different kinds of CT scan and settings generally used in post-mortem imaging. The machine most employed is a 8/16-slice spiral CT, usually without contrast enhancement. The introduction of some variables, such as CT-guided biopsies, post-mortem ventilation, and PMCT angiography is becoming increasingly useful. (2) Why: Literature highlights the many advantages of PMCT. Limitations can be partly overcome by modern imaging techniques and combined evaluation with traditional autopsy. (3) Who: Most authors agree that collaboration between different specialists, i.e., radiologists and pathologists, is the best scenario, since radiologic, anatomic, and forensic skills are needed simultaneously. The most important human factor is "teamwork". (4) When: Literature provides no absolute limits for performing PMCT. Some authors have tested PMCT as a replacement for conventional autopsy but found some limitations. Others evaluated PMCT as a guide or screening tool for traditional autopsy. (5) Where: Many research groups around the world have performed studies on the use of PMCT. Although few countries adopt PMCT in routine practice, its use is rapidly spreading. More... »

PAGES

1-12

References to SciGraph publications

  • 2019-02. Post-mortem computed tomography improves completeness of the trauma registry: a single institution experience in EMERGENCY RADIOLOGY
  • 2012-12. Routine CT scan combined with preliminary examination as a new method in determining the need for autopsy in FORENSIC SCIENCE, MEDICINE AND PATHOLOGY
  • 2016-07. Postmortem CT is more accurate than clinical diagnosis for identifying the immediate cause of death in hospitalized patients: a prospective autopsy-based study in VIRCHOWS ARCHIV
  • 2017-12. Post-mortem CT imaging of the lungs: pathological versus non-pathological findings in LA RADIOLOGIA MEDICA
  • 2016-05. Postmortem computed tomography (PMCT) and autopsy in deadly gunshot wounds—a comparative study in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2017-06. Usefulness of 2D fusion of postmortem CT and antemortem chest radiography studies for human identification in JAPANESE JOURNAL OF RADIOLOGY
  • 2008-02. Virtual autopsy using imaging: bridging radiologic and forensic sciences. A review of the Virtopsy and similar projects in EUROPEAN RADIOLOGY
  • 2015-03. Ventilated post-mortem computed tomography through the use of a definitive airway in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2015-09. Investigation of medical intervention with fatal outcome: the impact of post-mortem CT and CT angiography in LA RADIOLOGIA MEDICA
  • 2014-06. Virtobot 2.0: the future of automated surface documentation and CT-guided needle placement in forensic medicine in FORENSIC SCIENCE, MEDICINE AND PATHOLOGY
  • 2011-07. Targeted post-mortem computed tomography cardiac angiography: proof of concept in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2017-01. Post-mortem computed tomography coaxial cutting needle biopsy to facilitate the detection of bacterioplankton using PCR probes as a diagnostic indicator for drowning in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2016-01. Postmortem CT versus forensic autopsy: frequent discrepancies of tracheobronchial content findings in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2016-09. Bony injuries in homicide cases (1994–2014). A retrospective study in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2017-07. Back to the Future - Part 1. The medico-legal autopsy from ancient civilization to the post-genomic era in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2015-09. Postmortem computed tomography (PMCT) and disaster victim identification in LA RADIOLOGIA MEDICA
  • 2018-07. Age estimation by assessment of pulp chamber volume: a Bayesian network for the evaluation of dental evidence in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2015-09. Postmortem-computed tomography and postmortem-computed tomography–angiography: a focused update in LA RADIOLOGIA MEDICA
  • 2014-01. Post-mortem computed tomography ventilation; simulating breath holding in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2008-02. Drowning—post-mortem imaging findings by computed tomography in EUROPEAN RADIOLOGY
  • 2012-03. Targeted cardiac post-mortem computed tomography angiography: a pictorial review in FORENSIC SCIENCE, MEDICINE AND PATHOLOGY
  • 2012-08. Virtual CT autopsy in clinical pathology: feasibility in clinical autopsies in VIRCHOWS ARCHIV
  • 2015-03. European Council of Legal Medicine (ECLM) accreditation of forensic pathology services in Europe in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2011-11. Multi-phase post-mortem CT angiography: development of a standardized protocol in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2017-11. Sex estimation using computed tomography of the mandible in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2013-09. Postmortem computed tomography angiography vs. conventional autopsy: advantages and inconveniences of each method in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2016-09. Evaluation of age estimation in forensic medicine by examination of medial clavicular ossification from thin-slice computed tomography images in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2009-02. Estimation of sex and age of “virtual skeletons”–a feasibility study in EUROPEAN RADIOLOGY
  • 2017-12. Geometric morphometric analysis reveals age-related differences in the distal femur of Europeans in JOURNAL OF EXPERIMENTAL ORTHOPAEDICS
  • 2019-02. Implementation of modern tools in autopsy practice—the way towards contemporary postmortal diagnostics in VIRCHOWS ARCHIV
  • 2014-12. Imaging in forensic radiology: an illustrated guide for postmortem computed tomography technique and protocols in FORENSIC SCIENCE, MEDICINE AND PATHOLOGY
  • 2013-07. Post-mortem computed tomography compared to forensic autopsy findings: a French experience in EUROPEAN RADIOLOGY
  • 2015-09. Application of contrast media in post-mortem imaging (CT and MRI) in LA RADIOLOGIA MEDICA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00428-019-02562-4

    DOI

    http://dx.doi.org/10.1007/s00428-019-02562-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1113172656

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30937612


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