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Evaluating the Outcome of an Unnecessary Request for CT Scan in Be'sat Hospital of Hamadan. Radiol Res Pract 2023; 2023:3709015. [PMID: 36874208 PMCID: PMC9977522 DOI: 10.1155/2023/3709015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/26/2023] [Accepted: 01/27/2023] [Indexed: 02/24/2023] Open
Abstract
Aim This study aimed to investigate the frequency of unnecessary tests requested in Be'sat Hospital in Hamadan. Materials and Methods This descriptive research was conducted in order to investigate the frequency of unnecessary requests for CT scan and radiography of patients referring to the imaging department of Be'sat Hospital in Hamadan in a 4- to 6-month period. Patient information, including gender, age, type of CT scan test, the reason for requesting the test, the expertise of the requesting physician, and the result of the radiologist's report on each test, was extracted and collected. Results A total of 1000 CT scans were evaluated. The mean age of these patients was about 36 years and most of them were men. The highest and lowest percentages of unnecessary cases were related to CT scans of the brain (42.3%) and facial bones (2.3%), respectively. The most and the least unnecessary CT scans based on the reason given for the request were related to multiple physical trauma (30.7%) and chronic kidney disease (1.5%), respectively. Conclusion In all tests, over 74% of the reports were unnecessary and less than 26% were necessary. Therefore, it is necessary to reduce unnecessary requests to reduce the radiation dose of patients. Also, the knowledge of doctors should be increased in the field of appropriate evaluation of CT scan tests based on clinical guidelines.
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Mattay RR, Davtyan K, Rudie JD, Mattay GS, Jacobs DA, Schindler M, Loevner LA, Schnall MD, Bilello M, Mamourian AC, Cook TS. Economic impact of selective use of contrast for routine follow-up MRI of patients with multiple sclerosis. J Neuroimaging 2022; 32:656-666. [PMID: 35294074 DOI: 10.1111/jon.12984] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/19/2022] [Accepted: 02/22/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND AND PURPOSE Imaging and autopsy studies show intracranial gadolinium deposition in patients who have undergone serial contrast-enhanced MRIs. This observation has raised concerns when using contrast administration in patients who receive frequent MRIs. To address this, we implemented a contrast-conditional protocol wherein gadolinium is administered only for multiple sclerosis (MS) patients with imaging evidence of new disease activity on precontrast imaging. In this study, we explore the economic impact of our new MRI protocol. METHODS We compared scanner time and Medicare reimbursement using our contrast-conditional methodology versus that of prior protocols where all patients received gadolinium. RESULTS For 422 patients over 4 months, the contrast-conditional protocol amounted to 60% decrease in contrast injection and savings of approximately 20% of MRI scanner time. If the extra scanner time was used for performing MS follow-up MRIs in additional patients, the contrast-conditional protocol would amount to net revenue loss of $21,707 (∼3.7%). CONCLUSIONS Implementation of a new protocol to limit contrast in MS follow-up MRIs led to a minimal decrease in revenue when controlled for scanner time utilized and is outweighed by other benefits, including substantial decreased gadolinium administration, increased patient comfort, and increased availability of scanner time, which depending on type of studies performed could result in additional financial benefit.
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Affiliation(s)
- Raghav R Mattay
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Karapet Davtyan
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jeffrey D Rudie
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Govind S Mattay
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Dina A Jacobs
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Matthew Schindler
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Laurie A Loevner
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mitchell D Schnall
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Michel Bilello
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alexander C Mamourian
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Radiology, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Tessa S Cook
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Nayeri A, Prablek MA, Brinson PR, Weaver KD, Thompson RC, Chambless LB. Short-term postoperative surveillance imaging may be unnecessary in elderly patients with resected WHO Grade I meningiomas. J Clin Neurosci 2015; 26:101-4. [PMID: 26707713 DOI: 10.1016/j.jocn.2015.11.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2015] [Accepted: 11/08/2015] [Indexed: 01/13/2023]
Abstract
The optimal timing and frequency of postoperative imaging surveillance after a meningioma resection are not well-established. The low recurrence rates and slow growth of World Health Organization (WHO) Grade I meningiomas in particular have raised doubts about the utility of postoperative imaging surveillance. We sought to analyze the cost and utility of asymptomatic surveillance imaging in elderly patients after the resection of a WHO Grade I meningioma. We conducted a retrospective cohort study on 45 patients who had a primary WHO Grade I meningioma resected at our institution between 2001-2013 at or above the age of 60 with a minimum of 2 years of follow-up. All postoperative clinic notes were reviewed alongside imaging results to verify that patients were asymptomatic during the surveillance period. MRI and CT scan costs (all $USD) were estimated at $599.61 and $334.31 respectively based on the Centers for Medicare and Medicaid national averages. During an average follow-up period of 4.5 years, the average number of total imaging studies performed per asymptomatic patient was 3.58 with an average total cost of $2086.30 per patient. Forty-two (93%) patients had no new abnormal findings on any of their imaging. Three (7%) patients demonstrated either a new meningioma or progressive growth of the postoperative residual tumor on imaging. No asymptomatic patient underwent a reoperation. Our data suggest that elderly patients with resected WHO Grade I meningiomas are at low risk for recurrence and may not need asymptomatic surveillance imaging for the first several postoperative years.
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Affiliation(s)
- Arash Nayeri
- Vanderbilt University School of Medicine, 201 Light Hall, Nashville, TN 37232, USA.
| | - Marc A Prablek
- Vanderbilt University School of Medicine, 201 Light Hall, Nashville, TN 37232, USA
| | - Philip R Brinson
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kyle D Weaver
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reid C Thompson
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lola B Chambless
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
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Abramson RG, Burton KR, Yu JPJ, Scalzetti EM, Yankeelov TE, Rosenkrantz AB, Mendiratta-Lala M, Bartholmai BJ, Ganeshan D, Lenchik L, Subramaniam RM. Methods and challenges in quantitative imaging biomarker development. Acad Radiol 2015; 22:25-32. [PMID: 25481515 PMCID: PMC4258641 DOI: 10.1016/j.acra.2014.09.001] [Citation(s) in RCA: 67] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2014] [Revised: 09/03/2014] [Accepted: 09/03/2014] [Indexed: 12/18/2022]
Abstract
Academic radiology is poised to play an important role in the development and implementation of quantitative imaging (QI) tools. This article, drafted by the Association of University Radiologists Radiology Research Alliance Quantitative Imaging Task Force, reviews current issues in QI biomarker research. We discuss motivations for advancing QI, define key terms, present a framework for QI biomarker research, and outline challenges in QI biomarker development. We conclude by describing where QI research and development is currently taking place and discussing the paramount role of academic radiology in this rapidly evolving field.
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Affiliation(s)
- Richard G. Abramson
- Department of Radiology and Radiological Sciences Vanderbilt University 1161 21 Ave. S, CCC-1121 MCN Nashville, TN 37232-2675 (615)322-6759 Fax (615) 322-3764
| | - Kirsteen R. Burton
- Dept. of Medical Imaging and Institute of Health Policy, Management and Evaluation University of Toronto 263 McCaul Street, 4th Floor Toronto, ON M5T1W7 (416) 978-6801
| | - John-Paul J. Yu
- Department of Radiology and Biomedical Imaging University of California, San Francisco 505 Parnassus Ave., M-391 Box 0628 San Francisco, CA 94143-0628
| | - Ernest M. Scalzetti
- Department of Radiology SUNY Upstate Medical University 750 E. Adams St. Syracuse NY 13210
| | - Thomas E. Yankeelov
- Institute of Imaging Science Vanderbilt University 1161 21 Ave. S, AA-1105 MCN Nashville, TN 37232-2310
| | - Andrew B. Rosenkrantz
- Department of Radiology NYU Langone Medical Center 550 First Avenue New York, NY 10016 (212) 263-0232 fax: (212) 263-6634
| | - Mishal Mendiratta-Lala
- Abdominal and Cross-sectional Interventional Radiology Henry Ford Hospital 2799 West Grand Blvd. Detroit, MI 48202 (313) 461-1648
| | - Brian J. Bartholmai
- Chair, Division of Radiology Informatics Mayo Clinic Rochester, MN Phone 507-284-4292 FAX: 507-284-8996
| | - Dhakshinamoorthy Ganeshan
- Department of Abdominal Imaging University of Texas MD Anderson Cancer Center Houston, TX 77030 713-792-2486 Fax: 713-745-1151
| | - Leon Lenchik
- Department of Radiology Wake Forest School of Medicine Medical Center Boulevard Winston-Salem, NC 27157 Phone: 336-716-4316 Fax: 336-716-1278
| | - Rathan M. Subramaniam
- Russell H Morgan Department of Radiology and Radiological Sciences Johns Hopkins School of Medicine Department of Health Policy and Management Johns Hopkins Bloomberg School of Public Health Johns Hopkins University Baltimore, MD
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Burton KR, Perlis N, Aviv RI, Moody AR, Kapral MK, Krahn MD, Laupacis A. Systematic review, critical appraisal, and analysis of the quality of economic evaluations in stroke imaging. Stroke 2014; 45:807-14. [PMID: 24519409 DOI: 10.1161/strokeaha.113.004027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE This study reviews the quality of economic evaluations of imaging after acute stroke and identifies areas for improvement. METHODS We performed full-text searches of electronic databases that included Medline, Econlit, the National Health Service Economic Evaluation Database, and the Tufts Cost Effectiveness Analysis Registry through July 2012. Search strategy terms included the following: stroke*; cost*; or cost-benefit analysis*; and imag*. Inclusion criteria were empirical studies published in any language that reported the results of economic evaluations of imaging interventions for patients with stroke symptoms. Study quality was assessed by a commonly used checklist (with a score range of 0% to 100%). RESULTS Of 568 unique potential articles identified, 5 were included in the review. Four of 5 articles were explicit in their analysis perspectives, which included healthcare system payers, hospitals, and stroke services. Two studies reported results during a 5-year time horizon, and 3 studies reported lifetime results. All included the modified Rankin Scale score as an outcome measure. The median quality score was 84.4% (range=71.9%-93.5%). Most studies did not consider the possibility that patients could not tolerate contrast media or could incur contrast-induced nephropathy. Three studies compared perfusion computed tomography with unenhanced computed tomography but assumed that outcomes guided by the results of perfusion computed tomography were equivalent to outcomes guided by the results of magnetic resonance imaging or noncontrast computed tomography. CONCLUSIONS Economic evaluations of imaging modalities after acute ischemic stroke were generally of high methodological quality. However, important radiology-specific clinical components were missing from all of these analyses.
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Affiliation(s)
- Kirsteen R Burton
- From the Institute of Health Policy, Management and Evaluation (K.R.B., N.P., M.K.K., M.D.K., A.L.), Departments of Medical Imaging (K.R.B., R.I.A., A.R.M.), Surgery, Division of Urology (N.P.), Institute of Medical Science (R.I.A., A.R.M.), Medicine (M.K.K., M.D.K., A.L.), and Toronto Health Economics and Technology Assessment Collaborative (M.D.K.), University of Toronto, Toronto, ON, Canada; Institute for Clinical and Evaluative Sciences, Toronto, ON, Canada (M.K.K.); and Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada (A.L.)
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Gazelle G, Kessler L, Lee DW, McGinn T, Menzin J, Neumann PJ, van Amerongen D, White LA. A Framework for Assessing the Value of Diagnostic Imaging in the Era of Comparative Effectiveness Research. Radiology 2011; 261:692-8. [DOI: 10.1148/radiol.11110155] [Citation(s) in RCA: 60] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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Carlos RC. Comparative effectiveness research: what does it mean for imaging? Acad Radiol 2010; 17:1071-2. [PMID: 20692618 DOI: 10.1016/j.acra.2010.06.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2010] [Revised: 06/29/2010] [Accepted: 06/29/2010] [Indexed: 02/03/2023]
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