Background: Rapid and accurate recognition of traumatic injuries is extremely important in emergency room and surgical settings. Emergency departments depend on computed tomography (CT) scans to provide rapid, accurate injury assessment. We conducted an analysis of all traumatic deaths autopsied at the Bexar County Medical Examiner's Office in which perimortem medical imaging (CT scan) was performed to assess the reliability of the CT scan in detecting trauma with sufficient accuracy for courtroom testimony.
Methods: Cases were included in the study if an autopsy was conducted, a CT scan was performed within 24 hours before death, and there was no surgical intervention. Analysis was performed to assess the correlation between the autopsy and CT scan results. Sensitivity, specificity, positive predictive value, and negative predictive value were defined for the CT scan based on the autopsy results.
Results: The sensitivity of the CT scan ranged from 0% for cerebral lacerations, cervical vertebral body fractures, cardiac injury, and hollow viscus injury to 75% for liver injury.
Conclusions: This study reveals that CT scans are an inadequate detection tool for forensic pathologists, where a definitive diagnosis is required, because they have a low level of accuracy in detecting traumatic injuries. CT scans may be adequate for clinicians in the emergency room setting, but are inadequate for courtroom testimony. If the evidence of trauma is based solely on CT scan reports, there is a high possibility of erroneous accusations, indictments, and convictions.
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http://dx.doi.org/10.1097/01.ta.0000236055.33085.77 | DOI Listing |
Acta Cardiol Sin
January 2025
Division of Cardiology, Cardiovascular Medical Center, and Department of Nuclear Medicine, Far Eastern Memorial Hospital, New Taipei City.
This 2025 updated consensus outlines the diagnostic strategy for transthyretin amyloid cardiomyopathy (ATTR-CM). Given that ATTR-CM is a significant contributor to heart failure, this article emphasizes the importance of making an early and precise diagnosis, particularly as new therapeutic options become available. Highlighting the critical importance of an early and accurate diagnosis, particularly in light of emerging therapeutic modalities, this consensus underscores the central role of Tc-pyrophosphate (PYP) scintigraphy as a non-invasive diagnostic tool.
View Article and Find Full Text PDFWe report a rare case of a 90-year-old woman with Stage IV lung cancer awaiting transfer to hospice care who developed sudden abdominal and knee skin mottling. Elevated inflammatory markers on blood tests and emergent computed tomography led to a diagnosis of acute mesenteric ischemia, and the patient passed away 7 h later. Skin mottling indicates decreased blood flow in the gastrointestinal tract and is observed during mesenteric ischemia.
View Article and Find Full Text PDFJ Surg Case Rep
January 2025
Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan.
Neuroendocrine tumors (NENs) originate from neuroendocrine cells and predominantly occur in the gastrointestinal tract, lungs, and pancreas. Although the liver is commonly involved in NEN metastasis, primary hepatic neuroendocrine tumors (PHNETs) are rare. Herein, we report a case of a 52-year-old female who presented with slowly enlarging, cystic, multiple PHNETs.
View Article and Find Full Text PDFEur Heart J Imaging Methods Pract
October 2024
Cardiologia 1-Emodinamica, Dipartimento Cardiotoracovascolare 'A. De Gasperis', ASST Grande Ospedale Metropolitano Niguarda, Milano, Italy.
Artificial intelligence (AI) is transforming cardiovascular imaging by offering advancements across multiple modalities, including echocardiography, cardiac computed tomography (CCT), cardiovascular magnetic resonance (CMR), interventional cardiology, nuclear medicine, and electrophysiology. This review explores the clinical applications of AI within each of these areas, highlighting its ability to improve patient selection, reduce image acquisition time, enhance image optimization, facilitate the integration of data from different imaging modality and clinical sources, improve diagnosis and risk stratification. Moreover, we illustrate both the advantages and the limitations of AI across these modalities, acknowledging that while AI can significantly aid in diagnosis, risk stratification, and workflow efficiency, it cannot replace the expertise of cardiologists.
View Article and Find Full Text PDFClin Case Rep
January 2025
Department of Radiology and Radiotherapy, School of Medicine, College of Health Sciences Makerere University Kampala Uganda.
Double outlet right ventricle (DORV) is a rare congenital heart defect where both the aorta and pulmonary artery originate from the right ventricle, often accompanied by additional cardiac anomalies to mitigate circulatory imbalance, though such compensations usually fail. We report a 15-month-old infant with recurrent respiratory infections and poor weight gain, referred for computed tomography angiography. Physical examination showed a small, non-syndromic infant with pallor, tachypnea, irritability, and finger clubbing.
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