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1.
J Med Imaging Radiat Sci ; 52(2): 186-190, 2021 06.
Article in English | MEDLINE | ID: mdl-33875400

ABSTRACT

INTRODUCTION: Portable chest radiography through glass (TG-CXR) is a novel technique, particularly useful during the COVID-19 (Coronavirus disease 2019) pandemic. The purpose of this study was to understand the cost and benefit of adopting TG-CXR in quantifiable terms. METHODS: Portable or bedside radiographs are typically performed by a team of two technologists. The TG-CXR method has the benefit of allowing one technologist to stay outside of the patient room while operating the portable radiography machine, reducing PPE use, decreasing the frequency of radiography machine sanitization and decreasing technologists' exposures to potentially infectious patients. The cost of implementing this technique during the current COVID-19 pandemic was obtained from our department's operational database. The direct cost of routinely used PPE and sanitization materials and the cost of the time taken by the technologists to clean the machine was used to form a quantitative picture of the benefit associated with TG-CXR technique. RESULTS: Technologists were trained on the TG-CXR method during a 15 min shift change briefing. This translated to a one-time cost of $424.88 USD. There was an average reduction of portable radiography machine downtime of 4 min and 48 s per study. The benefit of adopting the TG-CXR technique was $9.87 USD per patient imaged. This will result in a projected net cost savings of $51,451.84 USD per annum. CONCLUSION: Adoption of the TG-CXR technique during the COVID-19 pandemic involved minimal one-time cost, but is projected to result in a net-benefit of over $51,000 USD per annum in our emergency department.


Subject(s)
COVID-19 , Cost-Benefit Analysis , Radiography, Thoracic/economics , Glass , Humans , Point-of-Care Testing/economics , Radiography, Thoracic/instrumentation , Tertiary Care Centers
2.
Emerg Radiol ; 27(5): 527-532, 2020 Oct.
Article in English | MEDLINE | ID: mdl-32418149

ABSTRACT

Due to a combination of increasing indications for MR imaging, increased MRI accessibility, and extensive global armed conflict over the last few decades, an increasing number of patients now and in the future will present with retained metallic ballistic debris of unknown composition. To date, there are no guidelines on how to safely image these patients which may result in patients who would benefit from MRI not receiving it. In this article, we review the current literature pertaining to the MRI safety of retained ballistic materials and present the process we use to safely image these patients.


Subject(s)
Foreign Bodies/diagnostic imaging , Magnetic Resonance Imaging , Metals , Polymers , Wounds, Gunshot/diagnostic imaging , Humans
3.
J Am Coll Radiol ; 13(6): 680-7, 2016 Jun.
Article in English | MEDLINE | ID: mdl-26953644

ABSTRACT

PURPOSE: The aim of this study was to examine the frequency and type of outlier dose metrics for three common CT examination types on the basis of a root-cause analysis (RCA) approach. METHODS: Institutional review board approval was obtained for this retrospective observational study. The requirement to obtain informed consent was waived. Between January 2010 and December 2013, radiation dose metric data from 34,615 CT examinations, including 26,878 routine noncontrast CT head, 2,992 CT pulmonary angiographic (CTPA), and 4,745 renal colic examinations, were extracted from a radiation dose index monitoring database and manually cleaned. Dose outliers were identified on the basis of the statistical distribution of volumetric CT dose index and dose-length product for each examination type; values higher than the 99th percentile and less than the 1st percentile were flagged for RCA. RESULTS: There were 397 noncontrast CT head, 52 CTPA, and 80 renal colic outliers. Root causes for high-outlier examinations included repeat examinations due to patient motion (n = 122 [31%]), modified protocols mislabeled as "routine" (n = 69 [18%]), higher dose examinations for patients with large body habitus (n = 27 [7%]), repeat examinations due to technical artifacts (n = 20 [5%]), and repeat examinations due to suboptimal contrast timing (CTPA examinations) (n = 18 [5%]). Root causes for low-outlier examinations included low-dose protocols (n = 112 [29%]) and aborted examinations (n = 8 [2%]). On the basis of examination frequency over a 3-month period, the 90th and 10th percentile values were set in the radiation dose index monitoring database as thresholds for sending notifications to staff members responsible for outlier investigations. CONCLUSIONS: Systematic RCA of dose outliers identifies sources of variation and dose excess and pinpoints specific protocol and technical shortcomings for corrective action.


Subject(s)
Radiation Dosage , Radiation Monitoring/methods , Root Cause Analysis , Tomography, X-Ray Computed/methods , Adolescent , Adult , Aged , Female , Humans , Male , Middle Aged , Ontario , Retreatment , Retrospective Studies
5.
Can Assoc Radiol J ; 66(4): 302-9, 2015 Nov.
Article in English | MEDLINE | ID: mdl-26165626

ABSTRACT

OBJECTIVES: The objectives of our study were to assess trends in afterhours medical imaging utilization for emergency department (ED) and inpatient (IP) patient populations from 2006-2013, including analysis by modality and specialty and with adjustment for patient volume. METHODS: For this retrospective study, we reviewed the number of CT, MRI, and ultrasound studies performed for the ED and IP patients during the afterhours time period (5pm - 8am on weekdays and 24 hours on weekends and statutory holidays) from 2006-2013 at three different Canadian academic hospitals. We used the Jonckheere-Terpstra (JT) test to determine statistical significance of imaging and patient volume trends. A regression model was used to examine whether there was an increasing trend over time in the volume of imaging tests per 1000 patients. RESULTS: For all three sites from 2006-2013 during the afterhours time period: There was a statistically significant increasing trend in total medical imaging volume, which also held true when the volumes were assessed by modality and by specialty. There was a statistically significant increasing trend in ED and IP patient volume. When medical imaging volumes were adjusted for patient volumes, there was a statistically significant increasing trend in imaging being performed per patient. CONCLUSION: Afterhours medical imaging volumes demonstrated a statistically significant increasing trend at all three sites from 2006-2013 when assessed by total volume, modality, and specialty. During the same time period and at all three sites, the ED and IP patient volumes also demonstrated a statistically significant increasing trend with more medical imaging, however, being performed per patient.


Subject(s)
Academic Medical Centers/statistics & numerical data , After-Hours Care/statistics & numerical data , Diagnostic Imaging/statistics & numerical data , Academic Medical Centers/trends , Adult , After-Hours Care/trends , Diagnostic Imaging/trends , Emergency Service, Hospital/statistics & numerical data , Emergency Service, Hospital/trends , Forecasting , Health Facility Size/statistics & numerical data , Health Facility Size/trends , Health Services Needs and Demand/statistics & numerical data , Health Services Needs and Demand/trends , Hospital Bed Capacity/statistics & numerical data , Humans , Length of Stay/statistics & numerical data , Length of Stay/trends , Medicine/statistics & numerical data , Medicine/trends , Ontario , Utilization Review/statistics & numerical data , Utilization Review/trends
6.
Radiology ; 276(2): 507-17, 2015 Aug.
Article in English | MEDLINE | ID: mdl-25897474

ABSTRACT

PURPOSE: To retrospectively evaluate radiation optimization efforts over 4 years for three computed tomography (CT) protocols and to determine institutional (local) diagnostic reference levels for prospective tracking by using automated radiation dose index monitoring software. MATERIALS AND METHODS: Approval for this retrospective observational study was obtained from the hospital research ethics board, and the need to obtain informed consent was waived. The study followed a 48-month radiation dose optimization effort in a large academic inner-city trauma and quaternary referral center. Exposure according to equipment, protocol, and year (2010-2013) for adult patients was determined for routine unenhanced head CT examinations, CT pulmonary angiography examinations, and CT examinations for renal colic. Mean exposure (as volume CT dose index [CTDIvol] and dose-length product [DLP]) was averaged to establish local diagnostic reference levels. Means and 75th percentiles for 2013 were compared with findings from surveys in Canada and diagnostic reference levels for similar protocol types internationally. Student t tests were performed to assess significance between annual means, and χ(2) tests were performed for changes in categoric variables. RESULTS: There were 36 996 examinations in 25 234 patients. There was an average exposure reduction of 22% for CTDIvol and 13% for DLP from 2010 to 2013. In 2013, mean CTDIvol for routine head examinations was 50.8 mGy ± 3.7 (standard deviation), 11.8 mGy ± 5.6 for CT pulmonary angiography examinations, and 10.2 mGy ± 4.2 for renal colic CT examinations, while mean DLP was 805.7 mGy · cm ± 124.3, 432.8 mGy-cm ± 219.9, and 469.4 mGy · cm ± 209.2, respectively. The mean CTDIvol and DLP in 2013 were at or close to identified reference values; however, additional optimization is required to reach "as low as reasonably achievable" values for all examinations. CONCLUSION: Automated methods of radiation dose data collection permit a detailed analysis of radiation dose according to protocol and equipment over time. Radiation dose optimization measures were effective, but their full value may be realized only with changes in internal processes and real-time, prospective data monitoring and analysis.


Subject(s)
Radiation Dosage , Radiation Monitoring , Software , Tomography, X-Ray Computed/standards , Decision Trees , Female , Hospitals , Humans , Male , Middle Aged , Reference Values , Retrospective Studies
7.
Chest ; 130(2): 539-44, 2006 Aug.
Article in English | MEDLINE | ID: mdl-16899856

ABSTRACT

STUDY OBJECTIVES: The objectives of this study were to determine the prevalence of morphometric vertebral fractures in a large cohort of adult cystic fibrosis (CF) patients, and to examine the association between fractures and bone mineral density (BMD). DESIGN: Cross-sectional retrospective study. SETTING: A tertiary care academic hospital. PATIENTS: Adult CF patients who had undergone BMD testing and chest radiography within 1 month of each other. MEASUREMENTS AND RESULTS: BMD was measured by dual-energy x-ray absorptiometry (DXA) at the lumbar spine (LS) and femoral neck (FN). Vertebral fractures were diagnosed using lateral chest radiographs. Several clinical and biochemical variables were assessed as correlates. Sixty subjects (36%) had z scores between -1.0 and -2.5, and 15 subjects (9%) had z scores of < -2.5. Twelve patients (7.2%) had 19 morphometric fractures. The mean BMD at the LS was 1.266 g/cm(2) in the fracture group and 1.112 g/cm(2) in the nonfracture group (p = 0.0002). The mean BMD at the FN was 1.129 g/cm(2) in the fracture group and 0.987 g/cm(2) in the nonfracture group (p = 0.0006). Both FEV(1) and body mass index were significantly associated with BMD at both the LS and the FN. CONCLUSION: Seven percent of adult patients with CF had vertebral fractures as determined by morphometry. Subjects in the fracture group had both clinically and statistically higher BMD as measured by DXA. Our findings raise the intriguing possibility that BMD may not be useful in identifying CF patients with fractures.


Subject(s)
Bone Density/physiology , Cystic Fibrosis/complications , Lumbar Vertebrae/injuries , Osteoporosis/complications , Spinal Fractures/epidemiology , Absorptiometry, Photon , Adult , Female , Humans , Lumbar Vertebrae/diagnostic imaging , Male , Ontario/epidemiology , Osteoporosis/diagnostic imaging , Prevalence , Spinal Fractures/diagnostic imaging , Spinal Fractures/etiology
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