Objective: The purpose of this study was to assess the benefits of computed tomography(CT)-guided marking using dyes in patients undergoing lung resection for peripheral nodules.
Methods: Between January 1997 and August 2002, the location of small pulmonary nodules was identified with the aid of CT-guided marking in 52 patients scheduled for surgery. Dye-injection was performed in 52 patients (indigo carmine, n = 15; indocyanine green, n = 37). The average nodule size was 9.2 mm (range, 3 to 18 mm).
Results: The procedure using dyes proved to be easy and safe: the dyes were easily injected near the nodules, and no serious complications ensued. Intraoperatively, indocyanine was superior to indigo carmine with respect to visualization of the dyed pleural surface.
Conclusion: The preoperative CT-guided injection of indocyanine green proved to be the most useful and safest technique for identifying peripheral pulmonary nodules in patients scheduled for thoracoscopic surgery or minimal thoracotomy.
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J Health Econ Outcomes Res
September 2024
Avalon Health Economics, Coral Gables, Florida, USA.
Early detection of lung cancer is crucial for improving patient outcomes. Although advances in diagnostic technologies have significantly enhanced the ability to identify lung cancer in earlier stages, there are still limitations. The alarming rate of false positives has resulted in unnecessary utilization of medical resources and increased risk of adverse events from invasive procedures.
View Article and Find Full Text PDFMedicine (Baltimore)
November 2024
Department of Radiology, Kantonsspital Baden, affiliated Hospital for Research and Teaching of the Faculty of Medicine of the University of Zurich, Baden, Switzerland.
The aim of our study was to evaluate the specific performance of an artificial intelligence (AI) algorithm for lung nodule detection in chest radiography for a larger number of nodules of different sizes and densities using a standardized phantom approach. A total of 450 nodules with varying density (d1 to d3) and size (3, 5, 8, 10 and 12 mm) were inserted in a Lungman phantom at various locations. Radiographic images with varying projections were acquired and processed using the AI algorithm for nodule detection.
View Article and Find Full Text PDFIntroduction: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. There is a paucity of evidence on the impact of AI algorithms in assisting healthcare professionals (other than radiologists) who regularly review CXR images in their daily practice.
View Article and Find Full Text PDFJ Am Coll Surg
January 2025
Department of Thoracic Surgery. Vanderbilt University Medical Center, 1313 21st Avenue South, Nashville, TN 37232.
Background: Artificial intelligence (AI)-powered platforms may be used to ensure that clinically significant lung nodules receive appropriate management. We studied the impact of a commercially available AI natural language processing tool on detection of clinically significant indeterminate pulmonary nodules (IPNs) based on radiology reports and provision of guideline-consistent care.
Study Design: All computed tomography (CT) scans performed at a single tertiary care center in the outpatient or emergency room setting between 20-Feb-2024 and 20-March-2024 were processed by the AI natural language processing algorithm.
Inorg Chem
January 2025
Jiangsu Key Laboratory for Biomaterials and Devices, State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, PR China.
Organic-inorganic hybrid perovskites (OIHPs) have attracted enormous attention owing to their intriguing structural tunability and diverse functional properties. Reconstructive phase transitions, involving the breaking and reconstruction of chemical bonds, have rarely been found in such materials; however, these features may induce many intriguing physical properties in optics, ferroelectrics, ferromagnetics, and so forth. Here, we utilized the weak and switchable coordination bonds of HETMA-MnCl (HETMA = (2-hydroxyethyl) trimethylammonium) to construct a 1D hybrid perovskite employing a neutral framework.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!