Postmortem computed tomography angiography (PMCTA) and traditional autopsy in cases of sudden cardiac death due to coronary artery disease: a ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Raffaele La Russa, Carlo Catalano, Mariantonia Di Sanzo, Matteo Scopetti, Vittorio Gatto, Alessandro Santurro, Rocco Valerio Viola, Valeria Panebianco, Paola Frati, Vittorio Fineschi

ABSTRACT

INTRODUCTION: Several studies have been performed to assess the efficacy of postmortem computed tomography angiography (PMCTA) in solving cases of sudden cardiac death, even in comparison with the traditional autopsy. However, the results were often inconsistent and inconclusive. Therefore, a global discussion on the subject through a systematic review of the literature and a meta-analysis is necessary. METHODS: A systematic search of PubMed was performed up to April 23, 2018. Studies exploring the role of PMCTA in cases of sudden cardiac death and the accuracy of this method in diagnosing the cause of death compared to traditional autopsy were included. RESULTS: The overall sensitivity and specificity of the seven included studies, using conventional autopsy as a reference standard, were 92% and 95%, respectively. The positive and negative likelihood ratios were, respectively, 20.76 (95% CI 1.16-370.2) and 0.08 (95% CI 0.03-0.17), showing that PMCTA represents a strong indicator of the posttest probability of disease. The diagnostic odds ratio and the area under the curve were, respectively, 261.54 (95% CI 1.87-5760.53) and 0.93 (95% CI 0.90-0.95), indicating a high diagnostic power of the test. CONCLUSION: PMCTA demonstrated a high accuracy in the diagnosis of parietal and luminal coronary changes but was less effective in detecting myocardial ischemia and necrosis. Therefore, the only radiological investigation is often insufficient to determine the cause of sudden death and the conventional autopsy remains the gold standard. However, PMCTA can improve the performance of the autopsy, serving as an aid and guide in the sampling phase for histopathological investigations. More... »

PAGES

109-117

References to SciGraph publications

  • 2009-12. Virtopsy versus digital autopsy: virtuous autopsy in LA RADIOLOGIA MEDICA
  • 2013-07. Accuracy of targeted post-mortem computed tomography coronary angiography compared to assessment of serial histological sections in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2013-06. A step-by-step guide to the systematic review and meta-analysis of diagnostic and prognostic test accuracy evaluations in BRITISH JOURNAL OF CANCER
  • 2015-09. Investigation of medical intervention with fatal outcome: the impact of post-mortem CT and CT angiography in LA RADIOLOGIA MEDICA
  • 2018-09. Postmortem cardiac magnetic resonance in sudden cardiac death in HEART FAILURE REVIEWS
  • 2014-12. Minimally invasive, imaging guided virtual autopsy compared to conventional autopsy in foetal, newborn and infant cases: study protocol for the paediatric virtual autopsy trial in BMC PEDIATRICS
  • 2013-12. The utility of postmortem computed tomography selective coronary angiography in parallel with autopsy in FORENSIC SCIENCE, MEDICINE AND PATHOLOGY
  • 2011-09. Post-mortem computed tomography angiography: past, present and future in FORENSIC SCIENCE, MEDICINE AND PATHOLOGY
  • 2018-05. Evolution of post-mortem coronary imaging: from selective coronary arteriography to post-mortem CT-angiography and beyond in LA RADIOLOGIA MEDICA
  • 2016-11. Post-mortem magnetic resonance foetal imaging: a study of morphological correlation with conventional autopsy and histopathological findings in LA RADIOLOGIA MEDICA
  • 2015-05. Visualization of myocardial infarction by post-mortem single-organ coronary computed tomography: a feasibility study in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2015-09. Errors and malpractice lawsuits in radiology: what the radiologist needs to know in LA RADIOLOGIA MEDICA
  • 2012-10. Evaluation of postmortem MDCT and MDCT-angiography for the investigation of sudden cardiac death related to atherosclerotic coronary artery disease in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2008-02. Virtual autopsy using imaging: bridging radiologic and forensic sciences. A review of the Virtopsy and similar projects in EUROPEAN RADIOLOGY
  • 2017-12. Guidelines for autopsy investigation of sudden cardiac death: 2017 update from the Association for European Cardiovascular Pathology in VIRCHOWS ARCHIV
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11547-018-0943-y

    DOI

    http://dx.doi.org/10.1007/s11547-018-0943-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107261528

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30259270


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