Background & Problems: Problems that influence the safety and quality of the patient-positioning process during computed tomography (CT) simulation with contrast injection include: 1) inconsistent and incomplete procedures performed by medical staffs, 2) poor prevention of developer leakage and handling of side-effects, and 3) the lack of a standardized protocol. Desire to improve this situation encouraged us to do this project. Adverse events during CT simulation with contrast injection procedures are largely attributable to the lack of a standardized nursing informatics system, with other causes including nurses incorrectly performing allergy history assessments, incorrect communications with the doctor due to verbal orders given by phone, failure to perform proper patient identification and intravenous catheterization procedures, lack of assessment and knowledge about contrasts, lack of guidelines for warming contrast in the incubator, and lack of oxygen and sputum suction equipment.
Purpose: To improve the rate of completion of CT simulation with contrast injection procedures from 65% to 95%.
Resolution: This project was conducted between April 2016 and December 2016. Our strategy included establishing a nursing informatics system for the CT simulation with contrast injection process. This system included a standard patient-identification procedure, protocol for the correct placement of intravenous needles, standard specifications for the using an incubator with contrast, installation of oxygen and sputum suction equipment, and implementation of a nursing education and training program.
Results: This project with associated strategies improved CT simulation with contrast injection completion rates in all domains from the original 65% to 95% at the end of the project period.
Conclusions: This project improved significantly the completion rates of the CT simulation with contrast injection process. We want to share this experience to help other hospitals and to improve patient safety and quality of care.
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http://dx.doi.org/10.6224/JN.201812_65(6).10 | DOI Listing |
Acta Neurochir (Wien)
January 2025
Hamlyn Centre, Imperial College London, London, UK.
Background: Intraoperative ultrasound is becoming a common tool in neurosurgery. However, effective simulation methods are limited. Current, commercial, and homemade phantoms lack replication of anatomical correctness and texture complexity of brain and tumour tissue in ultrasound images.
View Article and Find Full Text PDFPediatr Radiol
January 2025
Department of Radiology, College of Medicine, University of Florida, PO Box 100374, Gainesville, FL, 32610-0374, USA.
Purpose: To evaluate whether adult and pediatric trauma center status, as well as the presence of dedicated child protection teams, influences radiology resident performance in detecting non-accidental trauma on the Emergent/Critical Care Imaging Simulation (WIDI SIM) exam.
Materials And Methods: We retrospectively analyzed 639 WIDI SIM exam scores for four pediatric non-accidental trauma cases completed by radiology residents across 33 programs. Residents were stratified by level (R1-R4) and institutional factors, including adult trauma center status, pediatric trauma center status, and child protection team presence.
Radiology
January 2025
From the Department of Radiology, Shenzhen Nanshan People's Hospital, Shenzhen University, Taoyuan Rd No. 89, Nanshan District, Shenzhen 518000, Guangdong, China (H.H., Z.D., Y.Q.); Medical AI Laboratory and Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China (J.M., R.L., B.H.); Department of Medical Imaging, People's Hospital of Longhua, Shenzhen, Guangdong, China (X.P., Y.Z.); and Department of Radiology, Shenzhen People's Hospital, Shenzhen, Guangdong, China (D.Z., G.H.).
Background Multiparametric MRI, including contrast-enhanced sequences, is recommended for evaluating suspected prostate cancer, but concerns have been raised regarding potential contrast agent accumulation and toxicity. Purpose To evaluate the feasibility of generating simulated contrast-enhanced MRI from noncontrast MRI sequences using deep learning and to explore their potential value for assessing clinically significant prostate cancer using Prostate Imaging Reporting and Data System (PI-RADS) version 2.1.
View Article and Find Full Text PDFMed Phys
January 2025
Center for Virtual Imaging Trial, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University School of Medicine, Durham, North Carolina, USA.
Background: This Special Report summarizes the 2022, AAPM grand challenge on Truth-based CT image reconstruction.
Purpose: To provide an objective framework for evaluating CT reconstruction methods using virtual imaging resources consisting of a library of simulated CT projection images of a population of human models with various diseases.
Methods: Two hundred unique anthropomorphic, computational models were created with varied diseases consisting of 67 emphysema, 67 lung lesions, and 66 liver lesions.
Chemphyschem
January 2025
Changchun University of Technology, No. 3000, Beiyuanda Street, Gaoxinbei District, Changchun, Jilin, China, CHINA.
With the rapid advancement of information technology, the need to achieve ultra-high-density data storage has become a pressing necessity. This study synthesized three hyperbranched polyimides (HBPI-TAPP, HBPI-(Zn)TAPP, and HBPI-(Cu)TAPP) by polymerizing 5,10,15,20-tetrakis(4-aminophenyl)porphyrin (TAPP), which features a cavity for metal ion coordination, with 4,4'-(hexafluoroisopropylidene)diphthalic anhydride (6FDA), to systematically investigate the effect of metal ion species on storage performance. According to the results, memory devices based on HBPI-(Zn)TAPP exhibit volatile SRAM (static random-access memory) characteristics, whereas devices employing HBPI-TAPP and HBPI-(Cu)TAPP demonstrate non-volatile WORM (write-once, read-many) characteristics.
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