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| http://dx.doi.org/10.21037/qims-23-338 | DOI Listing |
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Background: When inserting central venous catheters, inadvertent injury of major vessels is a rare yet critical complication. Direct surgery is sometimes overly invasive. This report describes a subclavian artery injury caused by inadvertent cannulation of a dialysis catheter, successfully treated with a covered stent.
View Article and Find Full Text PDFGlobal disparities in neurosurgical care necessitate innovations addressing affordability and accuracy, particularly for critical procedures like ventriculostomy. This intervention, vital for managing life-threatening intracranial pressure increases, is associated with catheter misplacement rates exceeding 30% when using a freehand technique. Such misplacements hold severe consequences including haemorrhage, infection, prolonged hospital stays, and even morbidity and mortality.
View Article and Find Full Text PDFDouble-J Ureteral Stenting in Obstetrics and Gynecology: Pivotal or Problematic?
J Clin Med
December 2024
Department of Internal Medicine, Faculty of Medicine, University of Medicine and Pharmacy "Gr. T. Popa", 700115 Iasi, Romania.
: Double-J stents are urinary catheters that are frequently used in urology. They are now also used in other specialist areas such as obstetrics and gynecology. However, the use of double-J stents is not without side effects.
View Article and Find Full Text PDFVirtual Chest Radiographs Developed From Computed Tomography Images for Differentiating Central Venous Versus Misplaced Arterial Lines and for Training Radiologists.
J Comput Assist Tomogr
November 2024
From the Department of Diagnostic Imaging and Nuclear Medicine.
Objective: Radiographic findings to identify central venous catheter misplacement in the arteries, which can cause lethal complications, have not been fully evaluated, and its training is difficult because it is rare. The purpose of this study is to clarify radiographic findings for differentiating central venous and misplaced arterial lines using virtual chest radiographs and elucidate their usefulness in training radiologists.
Methods: This retrospective study included 150 patients (mean age, 67 [SD, ±12] years; 97 men) who underwent colon cancer surgery between January 2018 and December 2020.
Optimizing Catheter Verification: An Understandable AI Model for Efficient Assessment of Central Venous Catheter Placement in Chest Radiography.
Invest Radiol
October 2024
From the Department of Radiology and Nuclear Medicine, UKSH Lübeck, Lübeck, Germany (J.S., M.M., L.B., Y.E., J.B., M.M.S.); Institute of Medical Informatics, University of Lübeck, Lübeck, Germany (L.H., M.P.H.); Philips Research Hamburg, Hamburg, Germany (A.S., H.S.); and Institute of Interventional Radiology, UKSH Lübeck, Lübeck, Germany (M.M.S.).
Purpose: Accurate detection of central venous catheter (CVC) misplacement is crucial for patient safety and effective treatment. Existing artificial intelligence (AI) often grapple with the limitations of label inaccuracies and output interpretations that lack clinician-friendly comprehensibility. This study aims to introduce an approach that employs segmentation of support material and anatomy to enhance the precision and comprehensibility of CVC misplacement detection.
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