Publications by authors named "N Davendralingam"

Article Synopsis
  • Post-mortem CT (PMCT) is becoming a popular, non-invasive option for adult death investigations, addressing pathologist shortages while respecting cultural needs.
  • The article discusses various PMCT service structures tailored to different coronial jurisdictions, which face challenges like limited imaging access and logistical issues.
  • It further explores operational models for PMCT services, including who leads them, types of CT units used, and reporting structures, offering real-world examples for effective implementation.
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Objectives: Corner metaphyseal lesions (CMLs) are specific for child abuse but challenging to detect on radiographs. The accuracy of CT for CML detection is unknown. Our aim was to compare diagnostic accuracy for CML detection on post-mortem skeletal surveys (PMSS, plain radiography) versus post-mortem CT (PMCT).

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A significant problem facing routine medicolegal coroner-referred autopsies is a shortfall of pathologists prepared to perform them. This was particularly acute in Lancashire, where the coroner decided to initiate a service that relied on post-mortem computed tomography (PMCT). This involved training anatomical pathology technologists (APTs) to perform external examinations, radiographers to perform scans, and radiologists to interpret them.

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Background: Ligamentum arteriosum calcification may be a normal finding in some children, although the frequency has not been well described.

Objective: To estimate the frequency of ligamentum arteriosum calcification in children at postmortem imaging.

Materials And Methods: We conducted a single-centre retrospective review of paediatric postmortem CT and chest radiographic imaging over a 6-year period (January 2012 to December 2018).

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Artificial intelligence (AI) has received widespread and growing interest in healthcare, as a method to save time, cost and improve efficiencies. The high-performance statistics and diagnostic accuracies reported by using AI algorithms (with respect to predefined reference standards), particularly from image pattern recognition studies, have resulted in extensive applications proposed for clinical radiology, especially for enhanced image interpretation. Whilst certain sub-speciality areas in radiology, such as those relating to cancer screening, have received wide-spread attention in the media and scientific community, children's imaging has been hitherto neglected.

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