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.
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J Magn Reson Imaging
January 2025
Department of Radiology, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine (Shenzhen Traditional Chinese Medicine Hospital), Shenzhen, China.
Background: Multifrequency MR elastography (mMRE) enables noninvasive quantification of renal stiffness in patients with chronic kidney disease (CKD). Manual segmentation of the kidneys on mMRE is time-consuming and prone to increased interobserver variability.
Purpose: To evaluate the performance of mMRE combined with automatic segmentation in assessing CKD severity.
JAMA Netw Open
January 2025
Laboratory of NeuroImaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland.
Importance: Cannabis use has increased globally, but its effects on brain function are not fully known, highlighting the need to better determine recent and long-term brain activation outcomes of cannabis use.
Objective: To examine the association of lifetime history of heavy cannabis use and recent cannabis use with brain activation across a range of brain functions in a large sample of young adults in the US.
Design, Setting, And Participants: This cross-sectional study used data (2017 release) from the Human Connectome Project (collected between August 2012 and 2015).
J Magn Reson Imaging
January 2025
ImageWorks LLC, Shaker Heights, Ohio, USA.
J Orthop Traumatol
January 2025
Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan.
Background: Various prediction models have been developed for extremity metastasis and sarcoma. This systematic review aims to evaluate extremity metastasis and sarcoma models using the utility prediction model (UPM) evaluation framework.
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Health Econ Rev
January 2025
Finnish Institute for Health and Welfare, PO Box 30, 00271, Helsinki, Finland.
Background: Healthcare expenditures have risen in middle- and high-income countries. One of the potential contributors is the overuse of diagnostics. I explore whether medical imaging is overused when privately owned clinics in Finland treat patients with voluntary private health insurance (VPHI).
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