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Ivanovic V, Broadhead K, Chang YM, Hamer JF, Beck R, Hacein-Bey L, Qi L. Shift Volume Directly Impacts Neuroradiology Error Rate at a Large Academic Medical Center: The Case for Volume Limits. AJNR Am J Neuroradiol 2024; 45:374-378. [PMID: 38238099 PMCID: PMC11288559 DOI: 10.3174/ajnr.a8119] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 12/18/2023] [Indexed: 04/10/2024]
Abstract
BACKGROUND AND PURPOSE Unlike in Europe and Japan, guidelines or recommendations from specialized radiological societies on workflow management and adaptive intervention to reduce error rates are currently lacking in the United States. This study of neuroradiologic reads at a large US academic medical center, which may hopefully contribute to this discussion, found a direct relationship between error rate and shift volume. MATERIALS AND METHODS CT and MR imaging reports from our institution's Neuroradiology Quality Assurance database (years 2014-2020) were searched for attending physician errors. Data were collected on shift volume specific error rates per 1000 interpreted studies and RADPEER scores. Optimal cutoff points for 2, 3 and 4 groups of shift volumes were computed along with subgroups' error rates. RESULTS A total of 643 errors were found, 91.7% of which were clinically significant (RADPEER 2b, 3b). The overall error rate (errors/1000 examinations) was 2.36. The best single shift volume cutoff point generated 2 groups: ≤ 26 studies (error rate 1.59) and > 26 studies (2.58; OR: 1.63, P < .001). The best 2 shift volume cutoff points generated 3 shift volume groups: ≤ 19 (1.34), 20-28 (1.88; OR: 1.4, P = .1) and ≥ 29 (2.6; OR: 1.94, P < .001). The best 3 shift volume cutoff points generated 4 groups: ≤ 24 (1.59), 25-66 (2.44; OR: 1.54, P < .001), 67-90 (3.03; OR: 1.91, P < .001), and ≥ 91 (2.07; OR: 1.30, P = .25). The group with shift volume ≥ 91 had a limited sample size. CONCLUSIONS Lower shift volumes yielded significantly lower error rates. The lowest error rates were observed with shift volumes that were limited to 19-26 studies. Error rates at shift volumes between 67-90 studies were 226% higher, compared with the error rate at shift volumes of ≤ 19 studies.
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Affiliation(s)
- Vladimir Ivanovic
- From the Department of Radiology, Section of Neuroradiology (V.I., J.F.H., R.B.), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Kenneth Broadhead
- Department of Statistics (K.B.), Colorado State University, Fort Collins, Colorado
| | - Yu-Ming Chang
- Department of Radiology, Section of Neuroradiology (Y.-M.C.), Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - John F Hamer
- From the Department of Radiology, Section of Neuroradiology (V.I., J.F.H., R.B.), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Ryan Beck
- From the Department of Radiology, Section of Neuroradiology (V.I., J.F.H., R.B.), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Lotfi Hacein-Bey
- Department of Radiology, Section of Neuroradiology (L.H.-B.), University of California Davis Medical Center, Sacramento, California
| | - Lihong Qi
- Department of Public Health Sciences (L.Q.), School of Medicine, University of California Davis, Davis, California
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Rogers JL, Wall T, Acquaye-Mallory AA, Boris L, Kim Y, Aldape K, Quezado MM, Butman JA, Smirniotopoulos JG, Chaudhry H, Tsien CI, Chittiboina P, Zaghloul K, Aboud O, Avgeropoulos NG, Burton EC, Cachia DM, Dixit KS, Drappatz J, Dunbar EM, Forsyth P, Komlodi-Pasztor E, Mandel J, Ozer BH, Lee EQ, Ranjan S, Lukas RV, Raygada M, Salacz ME, Smith-Cohn MA, Snyder J, Soldatos A, Theeler BJ, Widemann BC, Camphausen KA, Heiss JD, Armstrong TS, Gilbert MR, Penas-Prado M. Virtual multi-institutional tumor board: a strategy for personalized diagnoses and management of rare CNS tumors. J Neurooncol 2024; 167:349-359. [PMID: 38427131 PMCID: PMC11023967 DOI: 10.1007/s11060-024-04613-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 02/17/2024] [Indexed: 03/02/2024]
Abstract
PURPOSE Multidisciplinary tumor boards (MTBs) integrate clinical, molecular, and radiological information and facilitate coordination of neuro-oncology care. During the COVID-19 pandemic, our MTB transitioned to a virtual and multi-institutional format. We hypothesized that this expansion would allow expert review of challenging neuro-oncology cases and contribute to the care of patients with limited access to specialized centers. METHODS We retrospectively reviewed records from virtual MTBs held between 04/2020-03/2021. Data collected included measures of potential clinical impact, including referrals to observational or therapeutic studies, referrals for specialized neuropathology analysis, and whether molecular findings led to a change in diagnosis and/or guided management suggestions. RESULTS During 25 meetings, 32 presenters discussed 44 cases. Approximately half (n = 20; 48%) involved a rare central nervous system (CNS) tumor. In 21% (n = 9) the diagnosis was changed or refined based on molecular profiling obtained at the NIH and in 36% (n = 15) molecular findings guided management. Clinical trial suggestions were offered to 31% (n = 13), enrollment in the observational NCI Natural History Study to 21% (n = 9), neuropathology review and molecular testing at the NIH to 17% (n = 7), and all received management suggestions. CONCLUSION Virtual multi-institutional MTBs enable remote expert review of CNS tumors. We propose them as a strategy to facilitate expert opinions from specialized centers, especially for rare CNS tumors, helping mitigate geographic barriers to patient care and serving as a pre-screening tool for studies. Advanced molecular testing is key to obtaining a precise diagnosis, discovering potentially actionable targets, and guiding management.
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Affiliation(s)
- James L Rogers
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Thomas Wall
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Alvina A Acquaye-Mallory
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Lisa Boris
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Yeonju Kim
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
- Wayne State University School of Medicine, 540 E Canfield St, Detroit, MI, 48201, USA
| | - Kenneth Aldape
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Martha M Quezado
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - John A Butman
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - James G Smirniotopoulos
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Huma Chaudhry
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Christina I Tsien
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
- Proton Therapy Center, Sibley Memorial Hospital, Johns Hopkins Medicine, 5255 Loughboro Rd NW, Washington, DC, 20016, USA
| | - Prashant Chittiboina
- Surgical Neurology Branch,, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Kareem Zaghloul
- Surgical Neurology Branch,, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Orwa Aboud
- Department of Neurology and Neurological Surgery, UC Davis Comprehensive Cancer Center, 4860 Y Street, Sacramento, CA, 95817, USA
| | - Nicholas G Avgeropoulos
- Brain and Spine Tumor Program, Orlando Health Cancer Institute, 1400 S. Orange Ave, Orlando, FL, 32806, USA
- Global Medical Affairs, Novocure GmbH, D4 Pk. 6, 6039, Root, Switzerland
| | - Eric C Burton
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - David M Cachia
- Department of Hematology/Oncology, University of Massachusetts, 55 Lake Ave, Worcester, MA, 01655, USA
| | - Karan S Dixit
- Lou and Jean Malnati Brain Tumor Institute, Northwestern University Feinberg School of Medicine, 675 N St Clair St, Chicago, IL, 60611, USA
| | - Jan Drappatz
- Department of Neurology, University of Pittsburgh Medical Center, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
| | - Erin M Dunbar
- Piedmont Brain Tumor Center, Piedmont Atlanta Hospital, Atlanta, GA, 2001 Peachtree St30309, USA
| | - Peter Forsyth
- Department of Neuro-Oncology, Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL, 33612, USA
| | - Edina Komlodi-Pasztor
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
- Department of Neurology, MedStar Georgetown University Hospital, 3800 Reservoir Road Washington, Washington DC, 20007, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, 7200 Cambridge St, Houston, TX, 77030, USA
| | - Byram H Ozer
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Eudocia Q Lee
- Center for Neuro-Oncology, Dana Farber Cancer Institute, 450 Brookline Ave, Boston, MA, 02215, USA
| | - Surabhi Ranjan
- Department of Neurology, Cleveland Clinic Florida, Weston Hospital, 2950 Cleveland Clinic Boulevard, Weston, FL, 33331, US
| | - Rimas V Lukas
- Lou and Jean Malnati Brain Tumor Institute, Northwestern University Feinberg School of Medicine, 675 N St Clair St, Chicago, IL, 60611, USA
| | - Margarita Raygada
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 1 Center Dr, Bethesda, MD, 20892, USA
| | - Michael E Salacz
- Department of Hematology and Medical Oncology, MD Anderson Cancer Center at Cooper, Cooper University Health Care, Two Cooper Plaza, Camden, NJ, 08103, USA
| | - Matthew A Smith-Cohn
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
- Benefis Sletten Cancer Institute, 1117 29Th St. S, Great Falls, MT, 59405, USA
| | - James Snyder
- Hermelin Brain Tumor Center, Henry Ford Cancer Institute, 2800 W Grand Blvd, Detroit, MI, 48202, USA
| | - Ariane Soldatos
- National Institute of Neurological Disorders and Stroke,, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Brett J Theeler
- School of Medicine, Uniformed Services University, 4301 Jones Bridge Rd, Bethesda, MD, 20814, USA
| | - Brigitte C Widemann
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Kevin A Camphausen
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - John D Heiss
- Surgical Neurology Branch,, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Terri S Armstrong
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Mark R Gilbert
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA
| | - Marta Penas-Prado
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9030 Old Georgetown Rd, Bethesda, MD, 20892, USA.
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Ivanovic V, Broadhead K, Beck R, Chang YM, Paydar A, Biddle G, Hacein-Bey L, Qi L. Factors Associated With Neuroradiologic Diagnostic Errors at a Large Tertiary-Care Academic Medical Center: A Case-Control Study. AJR Am J Roentgenol 2023; 221:355-362. [PMID: 36988269 DOI: 10.2214/ajr.22.28925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
BACKGROUND. Numerous studies have explored factors associated with diagnostic errors in neuroradiology; however, large-scale multivariable analyses are lacking. OBJECTIVE. The purpose of this study was to evaluate associations of interpretation time, shift volume, care setting, day of week, and trainee participation with diagnostic errors by neuroradiologists at a large academic medical center. METHODS. This retrospective case-control study using a large tertiary-care academic medical center's neuroradiology quality assurance database evaluated CT and MRI examinations for which neuroradiologists had assigned RADPEER scores. The database was searched from January 2014 through March 2020 for examinations without (RADPEER score of 1) or with (RADPEER scores of 2a, 2b, 3a, 3b, or 4) diagnostic error. For each examination with error, two examinations without error were randomly selected (unless only one examination could be identified) and matched by interpreting radiologist and examination type to form case and control groups. Marginal mixed-effects logistic regression models were used to assess associations of diagnostic error with interpretation time (number of minutes since the immediately preceding report's completion), shift volume (number of examinations interpreted during the shift), emergency/inpatient setting, weekend interpretation, and trainee participation in interpretation. RESULTS. The case group included 564 examinations in 564 patients (mean age, 50.0 ± 25.0 [SD] years; 309 men, 255 women); the control group included 1019 examinations in 1019 patients (mean age, 52.5 ± 23.2 years; 540 men, 479 women). In the case versus control group, mean interpretation time was 16.3 ± 17.2 [SD] minutes versus 14.8 ± 16.7 minutes; mean shift volume was 50.0 ± 22.1 [SD] examinations versus 45.4 ± 22.9 examinations. In univariable models, diagnostic error was associated with shift volume (OR = 1.22, p < .001) and weekend interpretation (OR = 1.60, p < .001) but not interpretation time, emergency/inpatient setting, or trainee participation (p > .05). However, in multivariable models, diagnostic error was independently associated with interpretation time (OR = 1.18, p = .003), shift volume (OR = 1.27, p < .001), and weekend interpretation (OR = 1.69, p = .02). In subanalysis, diagnostic error showed independent associations on weekdays with interpretation time (OR = 1.18, p = .003) and shift volume (OR = 1.27, p < .001); such associations were not observed on weekends (interpretation time: p = .62; shift volume: p = .58). CONCLUSION. Diagnostic errors in neuroradiology were associated with longer interpretation times, higher shift volumes, and weekend interpretation. CLINICAL IMPACT. These findings should be considered when designing work-flow-related interventions seeking to reduce neuroradiology interpretation errors.
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Affiliation(s)
- Vladimir Ivanovic
- Department of Radiology, Section of Neuroradiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226
| | - Kenneth Broadhead
- Department of Statistics, Colorado State University, Fort Collins, CO
| | - Ryan Beck
- Department of Radiology, Section of Neuroradiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226
| | - Yu-Ming Chang
- Department of Radiology, Section of Neuroradiology, Beth Israel Deaconess Medical Center, Boston, MA
| | - Alireza Paydar
- Department of Radiology, Section of Neuroradiology, University of California, Davis Medical Center, Sacramento, CA
| | - Garrick Biddle
- Department of Radiology, Section of Neuroradiology, University of California, Davis Medical Center, Sacramento, CA
| | - Lotfi Hacein-Bey
- Department of Radiology, Section of Neuroradiology, University of California, Davis Medical Center, Sacramento, CA
| | - Lihong Qi
- Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA
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Ivanovic V, Paydar A, Chang YM, Broadhead K, Smullen D, Klein A, Hacein-Bey L. Impact of Shift Volume on Neuroradiology Diagnostic Errors at a Large Tertiary Academic Center. Acad Radiol 2023; 30:1584-1588. [PMID: 36180325 DOI: 10.1016/j.acra.2022.08.035] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 08/20/2022] [Accepted: 08/30/2022] [Indexed: 11/01/2022]
Abstract
BACKGROUND AND PURPOSE Medical errors can result in significant morbidity and mortality. The goal of our study is to evaluate correlation between shift volume and errors made by attending neuroradiologists at an academic medical center, using a large data set. MATERIALS AND METHODS CT and MRI reports from our Neuroradiology Quality Assurance database (years 2014 - 2020) were searched for attending physician errors. Data were collected on shift volume, category of missed findings, error type, interpretation setting, exam type, clinical significance. RESULTS 654 reports contained diagnostic error. There was a significant difference between mean volume of interpreted studies on shifts when an error was made compared with shifts in which no error was documented (46.58 (SD=22.37) vs 34.09 (SD=18.60), p<0.00001); and between shifts when perceptual error was made compared with shifts when interpretive errors were made (49.50 (SD=21.9) vs 43.26 (SD=21.75), p=0.0094). 59.6% of errors occurred in the emergency/inpatient setting, 84% were perceptual and 91.1% clinically significant. Categorical distribution of errors was: vascular 25.8%, brain 23.4%, skull base 13.8%, spine 12.4%, head/neck 11.3%, fractures 10.2%, other 3.1%. Errors were detected most often on brain MRI (25.4%), head CT (18.7%), head/neck CTA (13.8%), spine MRI (13.7%). CONCLUSION Errors were associated with higher volume shifts, were primarily perceptual and clinically significant. We need National guidelines establishing a range of what is a safe number of interpreted cross-sectional studies per day.
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Affiliation(s)
- Vladimir Ivanovic
- Department of Radiology, Section of Neuroradiology, Medical College of Wisconsin, Milwaukee, WI.
| | - Alireza Paydar
- Department of Radiology, Section of Neuroradiology, University of California Davis Medical Center, Sacramento, CA
| | - Yu-Ming Chang
- Department of Radiology, Section of Neuroradiology, Beth Israel Deaconess Medical Center, Harvard School of Medicine, Boston, Massachusetts
| | - Kenneth Broadhead
- Department of statistics, School of Medicine, University of California Davis, Davis, CA
| | - David Smullen
- Department of Radiology, Section of Neuroradiology, Medical College of Wisconsin, Milwaukee, WI
| | - Andrew Klein
- Department of Radiology, Section of Neuroradiology, Medical College of Wisconsin, Milwaukee, WI
| | - Lotfi Hacein-Bey
- Department of Radiology, Section of Neuroradiology, University of California Davis Medical Center, Sacramento, CA
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