Objective: Assess the quality of medical imaging exam requests in order to facilitate their successful completion.
Material And Methods: This was a prospective study, carried out at the Bouaké UniversityHospital over a period of 4 months. This study covered 3129 requests for examination. The aim was to evaluate the conformity of the different requests established by the CDEI indicator. Data analysis was carried out using Epi Info 7 software.
Results: Requests for medical imaging exams were under-informed in 98.66% of cases by prescribers as defined by the CDEI indicator. The requests included the patient's name in 99.78% of cases, first name(s) in 98.91% of cases, age in 51.45%, and sex in 60.95% of cases. 84.79% of the reports came from the Bouaké CHU and 98.43% were dated. The patient's hospitalized status was not specified in 99.97% of the requests for analysis. The indication was included in 92.78% of the reports and diagnostic hypotheses were mentioned in only 94.76%. The imaging medium requested was specified in 99.78% with conventional radiography predominating in 80.88%. The anatomical region was mentioned in 92.49%. The identity and contact information of the prescribers represented 92% and 48% of the requestsrespectively.
Conclusion: The quality of writing of medical imaging examination requests was unsatisfactory overall with a high rate of non-compliance. Much effort to be made by the different actors.
Download full-text PDF |
Source |
---|
Cancer Med
January 2025
Department of Pediatric Surgery, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Background: Medical images play an important role in diagnosis and treatment of pediatric solid tumors. The field of radiology, pathology, and other image-based diagnostics are getting increasingly important and advanced. This indicates a need for advanced image processing technology such as Deep Learning (DL).
View Article and Find Full Text PDFCurr Med Imaging
January 2025
Department of Radiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Objective: The aim of this study was to develop and validate predictive models for perineural invasion (PNI) in gastric cancer (GC) using clinical factors and radiomics features derived from contrast-enhanced computed tomography (CE-CT) scans and to compare the performance of these models.
Methods: This study included 205 GC patients, who were randomly divided into a training set (n=143) and a validation set (n=62) in a 7:3 ratio. Optimal radiomics features were selected using the least absolute shrinkage and selection operator (LASSO) algorithm.
Med Gas Res
January 2025
McLean Hospital, Harvard Medical School, Belmont, MA, USA.
Xenon gas is considered to be a safe anesthetic and imaging agent. Research on its other potentially beneficial effects suggests that xenon may have broad efficacy for treating health disorders. A number of reviews on xenon applications have been published, but none have focused on substance use disorders.
View Article and Find Full Text PDFAnal Methods
January 2025
Department of Chemistry, School of Physical and Mathematical Science, Research Centre, University of Kerala, Kariavattom Campus, Thiruvananthapuram, Kerala, 695581, India.
The neuronal tau peptide serves as a key biomarker for neurodegenerative diseases, specifically, Alzheimer's disease, a condition that currently has no cure or definitive diagnosis. The methodology to noninvasively detect tau levels from body fluids remains a major hurdle for a rapid and simple diagnostic approach. Thus, developing new detection methods for sensing tau protein levels is crucial.
View Article and Find Full Text PDFSmall
January 2025
Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, P. R. China.
Near-infrared (NIR)-triggered type-I photosensitizers are crucial to address the constraints of hypoxic tumor microenvironments in phototherapy; however, significant challenges remain. By selecting an electron-deficient unit, a matched energy gap in the upper-level state is instrumental in boosting the efficiency of intersystem crossing for the type-I electron transfer process. 2-Cyanothiazole, an electron acceptor, is covalently linked with N, N-diphenyl-4-(thiophen-2-yl)aniline to yield a multifunctional photosensitizer (TTNH) that exhibits intrinsic NIR absorbance and compatible T energy levels, facilitating both radiative and nonradiative transitions.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!