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Kwee RM, Toxopeus R, Kwee TC. Publication pressure in medical imaging. Eur J Radiol 2024; 174:111404. [PMID: 38442475 DOI: 10.1016/j.ejrad.2024.111404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 03/01/2024] [Indexed: 03/07/2024]
Abstract
PURPOSE To investigate the degree of perceived publication pressure in medical imaging. METHOD Corresponding authors who published an article in one of the top 12 general radiology journals were invited to complete a survey about publication pressure. The revised Publication Pressure Questionnaire (PPQr) was used. Higher PPQr scores (5-point Likert scale) indicate a more negative view towards the various domains of publication pressure. RESULTS 203 corresponding authors participated. Median PPQr scores in the domains "publication stress", "publication attitude", and "publication resources" were 3.33, 3.50, and 3.67, respectively. Age 25-34 years (β coefficient 0.366, P = 0.047), female gender (β coefficient 0.293, P = 0.020), and 5-10 years of research experience (β coefficient 0.370, P = 0.033) were associated with a higher level of perceived publication stress, whereas age ≥ 65 years was negatively associated with perceived publication stress (β coefficient -0.846, P < 0.001). Age 55-64 years and age > 65 years were associated with a more positive view towards the publication climate (β coefficients -0.391 and -0.663, P = 0.018 and P = 0.002, respectively). Age 45-54 years was associated with a perception of fewer factors available to alleviate publication pressure (β coefficient 0.301, P = 0.014), whereas age 25-34 years was associated with a perception of more factors available to alleviate publication pressure (β coefficient -0.352, P = 0.012). CONCLUSION Perceived publication pressure among medical imaging researchers appears to be appreciable and is associated with several (academic) demographics.
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
| | - Romy Toxopeus
- Medical Imaging Center, Department of Radiology, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Thomas C Kwee
- Medical Imaging Center, Department of Radiology, University Medical Center Groningen, University of Groningen, the Netherlands
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Kanaan R, Kwee TC, Roest C, Kwee RM. Assessing Authorship Rates over Time in Original Radiologic Research Publications. Radiology 2024; 310:e231972. [PMID: 38470234 DOI: 10.1148/radiol.231972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
Background Previous studies have shown an increase in the number of authors on radiologic articles between 1950 and 2013, but the cause is unclear. Purpose To determine whether authorship rate in radiologic and general medical literature has continued to increase and to assess study variables associated with increased author numbers. Materials and Methods PubMed/Medline was searched for articles published between January 1998 and October 2022 in general radiology and general medical journals with the top five highest current impact factors. Generalized linear regression analysis was used to calculate adjusted incidence rate ratios (IRRs) for the numbers of authors. Wald tests assessed the associations between study variables and the numbers of authors per article. Combined mixed-effects regression analysis was performed to compare general medicine and radiology journals. Results There were 3381 original radiologic research articles that were analyzed. Authorship rate increased between 1998 (median, six authors; IQR, 4) and 2022 (median, 11 authors; IQR, 8). Later publication year was associated with more authors per article (IRR, 1.02; 95% CI: 1.01, 1.02; P < .001) after adjusting for publishing journal, continent of origin of first author, number of countries involved, PubMed/Medline original article type, study design, number of disciplines involved, multicenter or single-center study, reporting of a priori power calculation, reporting of obtaining informed consent, study sample size, and number of article pages. There were 1250 general medicine original research articles that were analyzed. Later publication year was also associated with more authors after adjustment for the study variables (IRR, 1.04; 95% CI: 1.03, 1.05; P < .001). There was a stronger increase in authorship by publication year for general medicine journals compared with radiology journals (IRR, 1.02; 95% CI: 1.01, 1.02; P < .001). Conclusion An increase in authorship rate was observed in the radiologic and general medical literature between 1998 and 2022, and the number of authors per article was independently associated with later year of publication. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Arrivé in this issue.
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Affiliation(s)
- Razan Kanaan
- From the Medical Imaging Center, Department of Radiology, Nuclear Medicine, and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands (R.K., T.C.K., C.R.); and Department of Medical Imaging, Zuyderland Medical Center, Heerlen/Sittard/Geleen, Henri Dunantstraat 5, 6419 PC Heerlen, the Netherlands (R.M.K.)
| | - Thomas C Kwee
- From the Medical Imaging Center, Department of Radiology, Nuclear Medicine, and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands (R.K., T.C.K., C.R.); and Department of Medical Imaging, Zuyderland Medical Center, Heerlen/Sittard/Geleen, Henri Dunantstraat 5, 6419 PC Heerlen, the Netherlands (R.M.K.)
| | - Christian Roest
- From the Medical Imaging Center, Department of Radiology, Nuclear Medicine, and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands (R.K., T.C.K., C.R.); and Department of Medical Imaging, Zuyderland Medical Center, Heerlen/Sittard/Geleen, Henri Dunantstraat 5, 6419 PC Heerlen, the Netherlands (R.M.K.)
| | - Robert M Kwee
- From the Medical Imaging Center, Department of Radiology, Nuclear Medicine, and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands (R.K., T.C.K., C.R.); and Department of Medical Imaging, Zuyderland Medical Center, Heerlen/Sittard/Geleen, Henri Dunantstraat 5, 6419 PC Heerlen, the Netherlands (R.M.K.)
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Moradi K, Kwee RM, Mohajer B, Guermazi A, Roemer FW, Ibad HA, Haugen IK, Berenbaum F, Demehri S. Erosive hand osteoarthritis and sarcopenia: data from Osteoarthritis Initiative cohort. Ann Rheum Dis 2024:ard-2023-224997. [PMID: 38242637 DOI: 10.1136/ard-2023-224997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 01/04/2024] [Indexed: 01/21/2024]
Abstract
OBJECTIVES There is no evidence linking specific osteoarthritis (OA) types, such as erosive hand OA (EHOA), with distant generalised changes in muscle composition (sarcopenia), which can potentially be modified. This study pioneers the exploration of the association between EHOA and sarcopenia, both of which are predominantly observed in the older adults. METHODS Using the Osteoarthritis Initiative cohort, we selected hand OA (modified Kellgren and Lawrence (grade ≥2 in ≥1 hand joint) participants with radiographic central erosions in ≥1 joints (EHOA group) and propensity score-matched hand OA participants with no erosion (non-EHOA group). MRI biomarkers of thigh muscles were measured at baseline, year 2 and year 4 using a validated deep-learning algorithm. To adjust for 'local' effects of coexisting knee OA (KOA), participants were further stratified according to presence of radiographic KOA. The outcomes were the differences between EHOA and non-EHOA groups in the 4-year rate of change for both intramuscular adipose tissue (intra-MAT) deposition and contractile (non-fat) area of thigh muscles. RESULTS After adjusting for potential confounders, 844 thighs were included (211 EHOA:633 non-EHOA; 67.1±7.5 years, female/male:2.9). Multilevel mixed-effect regression models showed that EHOA is associated a different 4-year rate of change in intra-MAT deposition (estimate, 95% CI: 71.5 mm2/4 years, 27.9 to 115.1) and contractile area (estimate, 95% CI: -1.8%/4 years, -2.6 to -1.0) of the Quadriceps. Stratified analyses showed that EHOA presence is associated with adverse changes in thigh muscle quality only in participants without KOA. CONCLUSIONS EHOA is associated with longitudinal worsening of thigh muscle composition only in participants without concomitant KOA. Further research is needed to understand the systemic factors linking EHOA and sarcopenia, which unlike EHOA is modifiable through specific interventions.
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Affiliation(s)
- Kamyar Moradi
- Russell H. Morgan Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Robert M Kwee
- Russell H. Morgan Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Bahram Mohajer
- Russell H. Morgan Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ali Guermazi
- Department of Radiology, Chobanian & Avedisian Boston University School of Medicine, Boston, Massachusetts, USA
| | - Frank W Roemer
- Department of Radiology, Chobanian & Avedisian Boston University School of Medicine, Boston, Massachusetts, USA
- Department of Radiology, Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Hamza Ahmed Ibad
- Russell H. Morgan Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ida K Haugen
- Center for Treatment of Rheumatic and Musculoskeletal Diseases, Diakonhjemmet Hospital, Oslo, Norway
| | - Francis Berenbaum
- Department of Rheumatology, Sorbonne University, INSERM CRSA, Saint-Antoine Hospital APHP, Paris, France
| | - Shadpour Demehri
- Russell H. Morgan Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Kwee TC, Almaghrabi MT, Kwee RM. Diagnostic radiology and its future: what do clinicians need and think? Eur Radiol 2023; 33:9401-9410. [PMID: 37436504 PMCID: PMC10667510 DOI: 10.1007/s00330-023-09897-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 03/24/2023] [Accepted: 04/27/2023] [Indexed: 07/13/2023]
Abstract
OBJECTIVE To investigate the view of clinicians on diagnostic radiology and its future. METHODS Corresponding authors who published in the New England Journal of Medicine and the Lancet between 2010 and 2022 were asked to participate in a survey about diagnostic radiology and its future. RESULTS The 331 participating clinicians gave a median score of 9 on a 0-10 point scale to the value of medical imaging in improving patient-relevant outcomes. 40.6%, 15.1%, 18.9%, and 9.5% of clinicians indicated to interpret more than half of radiography, ultrasonography, CT, and MRI examinations completely by themselves, without consulting a radiologist or reading the radiology report. Two hundred eighty-nine clinicians (87.3%) expected an increase in medical imaging utilization in the coming 10 years, whereas 9 clinicians (2.7%) expected a decrease. The need for diagnostic radiologists in the coming 10 years was expected to increase by 162 clinicians (48.9%), to remain stable by 85 clinicians (25.7%), and to decrease by 47 clinicians (14.2%). Two hundred clinicians (60.4%) expected that artificial intelligence (AI) will not make diagnostic radiologists redundant in the coming 10 years, whereas 54 clinicians (16.3%) thought the opposite. CONCLUSION Clinicians who published in the New England Journal of Medicine or the Lancet attribute high value to medical imaging. They generally need radiologists for cross-sectional imaging interpretation, but for a considerable proportion of radiographs, their service is not required. Most expect medical imaging utilization and the need for diagnostic radiologists to increase in the foreseeable future, and do not expect AI to make radiologists redundant. CLINICAL RELEVANCE STATEMENT The views of clinicians on radiology and its future may be used to determine how radiology should be practiced and be further developed. KEY POINTS • Clinicians generally regard medical imaging as high-value care and expect to use more medical imaging in the future. • Clinicians mainly need radiologists for cross-sectional imaging interpretation while they interpret a substantial proportion of radiographs completely by themselves. • The majority of clinicians expects that the need for diagnostic radiologists will not decrease (half of them even expect that we need more) and does not believe that AI will replace radiologists.
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Affiliation(s)
- Thomas C Kwee
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.
| | - Maan T Almaghrabi
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
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Hameleers A, Walbeehm R, Kwee RM, Samijo SK. [Rupture of the flexor carpi radialis tendon after corticosteroid injection of a ganglion cyst]. Ned Tijdschr Geneeskd 2023; 167:D7597. [PMID: 37930170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
BACKGROUND Although corticosteroid injections are frequently used in practice to treat tendinopathies, there are many adverse effects. CASE DESCRIPTION A 62-year-old woman received an aspiration and corticosteroid injection of a ganglion on the volar side of the left wrist. A few weeks later, she presented with severe pain and loss of function of the left wrist. On physical examination, here was a notable swelling with hematoma formation, along the course of the flexor carpi radialis. An MRI confirmed complete rupture of the flexor carpi radialis (FCR) tendon. She was treated non operatively with analgesics and a protective brace. During final check-up minimal loss of function was seen. CONCLUSION Cautiousness and judicious restraint are imperative when considering corticosteroid infiltrations targeting a volar ganglion at the level of the FCR. Aspiration combined with corticosteroid infiltration is not recommended for patients exhibiting (subclinical) STT-/CMC-1 osteoarthritis, as it may cause FCR tendon ruptures.
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Affiliation(s)
- Amber Hameleers
- ZuyderlandMedisch Centrum, Afd. Orthopedie, Heerlen
- Contact: Amber Hameleers
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Kwee RM, Almaghrabi MT, Kwee TC. The peer review process: A survey among scientists in radiology. Eur J Radiol 2023; 165:110940. [PMID: 37392545 DOI: 10.1016/j.ejrad.2023.110940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 06/08/2023] [Accepted: 06/17/2023] [Indexed: 07/03/2023]
Abstract
PURPOSE To map the experience and view of scientists in radiology on the peer review process. METHOD A survey with 12 closed-ended questions and 5 conditional sub-questions was conducted among corresponding authors who published in general radiology journals. RESULTS 244 corresponding authors participated. In considering a peer review invitation, most respondents found the topic and the availability of time very important (62.1% [144/132] and 57.8% [134/232], respectively), the quality of the abstract, the prestige/impact factor of the journal, and the sense of professional duty important (43.7% [101/231], 42.2% [98/232], and 53.9% [125/232], respectively), and were indifferent about a reward (35.3% [82/232]). However, 61.1% (143/234) believed that a reviewer should be rewarded. Direct financial compensation (27.6% [42/152]), discounted fees for society memberships, conventions, and/or journal subscriptions (24.3% [37/152]), and Continuing Medical Education credits (23.0% [35/152]) were the most frequently desired rewards. 73.4% (179/244) of respondents never received formal peer review training, of whom 31.2% (54/173) would like to, particularly less experienced researchers (Chi-Square P = 0.001). The median reported review time per article was 2.5 h. 75.2% (176/234) of respondents found it acceptable that a manuscript is rejected by an editor without formal peer review. The double-blinded peer review model was preferred by most respondents (42.3% [99/234]). A median of 6 weeks was considered the maximum acceptable time from manuscript submission to initial decision by a journal. CONCLUSION Publishers and journal editors may use the experiences and views of authors that were provided in this survey to shape the peer review process.
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
| | - Maan T Almaghrabi
- Medical Imaging Center, Department of Radiology, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Thomas C Kwee
- Medical Imaging Center, Department of Radiology, University Medical Center Groningen, University of Groningen, the Netherlands
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Ibad HA, Kwee RM, Ghotbi E, Roemer FW, Guermazi A, Demehri S. Radiographically detectable intra-articular mineralization: Predictor of knee osteoarthritis outcomes or only an indicator of aging? A brief report from the osteoarthritis initiative. Osteoarthr Cartil Open 2023; 5:100348. [PMID: 36923363 PMCID: PMC10009540 DOI: 10.1016/j.ocarto.2023.100348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 02/16/2023] [Indexed: 02/24/2023] Open
Abstract
Objective To determine the association between Intra-articular mineralization (IAM) and knee osteoarthritis (OA) outcomes stratified according to participants' age. Methods Participants from the Osteoarthritis Initiative (OAI) with baseline radiographic OA (i.e., Kellgren-Lawrence grade ≥2 with Osteoarthritis Research Society International (OARSI) atlas joint space narrowing (JSN)) in either knee were identified. Both knees and dominant hand baseline radiographs were evaluated for the presence of IAM. Whole-grade OARSI-JSN radiographic progression and increased Western Ontario and McMaster universities osteoarthritis index scores of the knees with baseline radiographic OA (assessed annually) were defined as radiographic and symptomatic progression, respectively. Cox proportional-hazards and longitudinal multilevel regression models investigated radiographic and symptomatic progression, respectively. Results 2010 participants with baseline radiographic OA in either one or both knees (N = 2976) were identified. 178 participants had baseline IAM (hand radiographs = 46, knee radiographs = 166, both = 34). An adjusted logistic regression model suggests an association between age and IAM (Odds Ratio: 1.06, 95% Confidence Interval (CI): 1.04-1.08). Presence of any IAM was not associated with whole-grade OARSI-JSN (Hazard Ratio (HR): 1.00, 95% CI: 0.73-1.37) or symptomatic progression (Estimated difference: 1.24, p-value: 0.13) in all participants. Using stratification analysis, in younger participants <60 years old, presence of any IAM was associated with radiographic progression (HR: 1.90, 95% CI: 1.01-3.60). Conclusion Although the presence of any radiographic IAM increases with higher age and does not predict knee OA outcomes across the entire sample of OAI participants, it is associated with knee OA radiographic progression in participants aged <60.
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Key Words
- BMI, Body Mass Index
- CT, Computed Tomography
- IAM, Intra-articular mineralization
- JSN, Joint Space Narrowing
- MRI, Magnetic Resonance Imaging
- OA, Osteoarthritis
- OAI, Osteoarthritis Initiative
- OARSI, Osteoarthritis Research Society International
- PASE, Physical Activity Scale for the Elderly
- WOMAC, Western Ontario and McMaster universities osteoarthritis index
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Affiliation(s)
- Hamza Ahmed Ibad
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
| | - Elena Ghotbi
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Frank W Roemer
- Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, Boston, MA, USA.,Department of Radiology, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Ali Guermazi
- Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, Boston, MA, USA
| | - Shadpour Demehri
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Kwee TC, Almaghrabi MT, Kwee RM. Which factors are associated with fraud in medical imaging research? Eur J Radiol 2023; 164:110884. [PMID: 37216741 DOI: 10.1016/j.ejrad.2023.110884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 05/14/2023] [Accepted: 05/16/2023] [Indexed: 05/24/2023]
Abstract
PURPOSE To investigate the determinants of fraud in medical imaging research. METHOD This study analyzed aggregated survey data on scientific integrity completed by 877 corresponding authors who published in imaging journals in 2021. Multivariate regression analyses were performed to determine the association of scientific fraud with the following variables: survey participants' age (<18, 18-24, 25-34, 35-44, 45-54, 55-64, or > 65 years), gender (male, female, or other), Corruption Perceptions Index (CPI) of their country of work (linear 0-100 scale), academic degree (medical doctor or other), academic position (none, fellow/resident, instructor/ lecturer, assistant professor, associate professor, full professor, or other), and years of research experience (<5, 5-10, or > 10 years). RESULTS Thirty-seven survey participants (4.2%) indicated they had committed scientific fraud in the past 5 years, and 223 (25.4%) indicated they had witnessed or suspected scientific fraud by departmental colleagues in the past 5 years. Instructors/lecturers were significantly more likely (P = 0.029) and fellows/residents were nearly significantly more likely (P = 0.050) to have committed scientific fraud, with odds ratios (ORs) of 4.954 and 5.156, respectively (Nagelkerke R2 of 0.114). Survey participants > 65 years of age and survey participants working in less corrupt countries were significantly less likely (P = 0.022 and P = 0.044, respectively) to have witnessed or suspected scientific fraud committed by their departmental colleagues, with ORs of 0.412 and 0.988 (per unit increase in CPI), respectively (Nagelkerke R2 of 0.064). CONCLUSIONS Fraud in medical imaging research appears to be more common among junior faculty and in more corrupt countries.
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Affiliation(s)
- Thomas C Kwee
- Medical Imaging Center, Department of Radiology, University of Groningen, University Medical Center Groningen, The Netherlands.
| | - Maan T Almaghrabi
- Medical Imaging Center, Department of Radiology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
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Kwee RM, Almaghrabi MT, Kwee TC. Publishing a research article in a major radiology journal: time investment from conception to proofreading after acceptance. J Am Coll Radiol 2023:S1546-1440(23)00330-7. [PMID: 37127219 DOI: 10.1016/j.jacr.2023.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 02/21/2023] [Accepted: 03/03/2023] [Indexed: 05/03/2023]
Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands.
| | - Maan T Almaghrabi
- Medical Imaging Center, Department of Radiology, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Thomas C Kwee
- Medical Imaging Center, Department of Radiology, University Medical Center Groningen, University of Groningen, The Netherlands
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Kwee RM, Almaghrabi MT, Kwee TC. Integrity in cardiovascular imaging research. Clin Imaging 2023; 96:31-33. [PMID: 36753906 DOI: 10.1016/j.clinimag.2023.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/24/2023] [Accepted: 01/26/2023] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To gain more insight in scientific integrity in the field of cardiovascular imaging research by conducting a survey among all corresponding authors who published in cardiovascular imaging journals. METHODS Corresponding authors who published in one of eight major cardiovascular imaging journals in 2021 were requested to complete a questionnaire about scientific integrity in the field of cardiovascular imaging. RESULTS Responses from 160 corresponding authors were received. The majority of respondents had a medical doctor degree (81.1%), held an academic position (93.8%, of which 44.0% as full professor), and had >10 years of research experience (72.5%). Overall confidence in the integrity of published scientific work in cardiovascular imaging was high, with a median score of 8 out of 10 (IQR 2). 5 respondents (3.1%) declared having committed scientific fraud in the past 5 years and 38 respondents (23.8%) declared having witnessed or suspected scientific fraud by anyone from their department in the past 5 years. 85.6% of respondents think that publication bias is present. 50% of respondents declared that any of their publications in the past 5 years had a co-author who actually did not deserve this co-authorship. CONCLUSION Experts in the field report that several forms of scientific fraud, publication bias, and honorary authorship are present in cardiovascular imaging research. Despite these reports of academic dishonesty, overall confidence in the integrity of cardiovascular imaging research is deemed high.
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
| | - Maan T Almaghrabi
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Thomas C Kwee
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands
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Kwee TC, Almaghrabi MT, Kwee RM. Scientific Fraud, Publication Bias, and Honorary Authorship in Nuclear Medicine. J Nucl Med 2023; 64:200-203. [PMID: 36215567 DOI: 10.2967/jnumed.122.264679] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 09/06/2022] [Accepted: 09/06/2022] [Indexed: 02/04/2023] Open
Abstract
Our objective was to investigate nuclear medicine scientists' experience with scientific fraud, publication bias, and honorary authorship. Methods: Corresponding authors who published an article in one of the 15 general nuclear medicine journals (according to Journal Citation Reports) in 2021 received an invitation to participate in a survey on scientific integrity. Results: In total, 254 (12.4%) of 1,897 corresponding authors completed the survey, of whom 11 (4.3%) admitted to having committed scientific fraud and 54 (21.3%) reported having witnessed or suspected scientific fraud by someone in their department in the past 5 y. Publication bias was considered present by 222 (87.4%) respondents, and honorary authorship practices were experienced by 100 (39.4%) respondents. Respondents assigned a median score of 8 (range, 2-10) on a 1- to 10-point scale for their overall confidence in the integrity of published work. On multivariate analysis, researchers in Asia had significantly more confidence in the integrity of published work, with a β-coefficient of 0.983 (95% CI, 0.512-1.454; P < 0.001). A subset of 22 respondents raised additional concerns, mainly about authorship criteria and assignments, the generally poor quality of published studies, and perverse incentives of journals and publishers. Conclusion: Scientific fraud, publication bias, and honorary authorship appear to be nonnegligible practices in nuclear medicine. Overall confidence in the integrity of published work is high, particularly among researchers in Asia.
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Affiliation(s)
- Thomas C Kwee
- Medical Imaging Center, Department of Radiology, Nuclear Medicine, and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; and
| | - Maan T Almaghrabi
- Medical Imaging Center, Department of Radiology, Nuclear Medicine, and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; and
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen, Sittard, and Geleen, The Netherlands
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Almaghrabi MT, Kwee TC, Kwee RM. Editorial Boards of Imaging-Related Journals: Selection Process, Terms, Evaluation, and Financial Compensation. J Am Coll Radiol 2022; 19:1347-1349. [PMID: 36244675 DOI: 10.1016/j.jacr.2022.09.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 09/01/2022] [Accepted: 09/07/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Maan T Almaghrabi
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Thomas C Kwee
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands.
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13
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Kwee RM, Almaghrabi MT, Kwee TC. Scientific integrity and fraud in radiology research. Eur J Radiol 2022; 156:110553. [PMID: 36228454 DOI: 10.1016/j.ejrad.2022.110553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 09/02/2022] [Accepted: 10/01/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE To investigate the view of radiologists on the integrity of their own and their colleagues' scientific work. MATERIALS AND METHODS Corresponding authors of articles that were published in 12 general radiology journals in 2021 were invited to participate in a survey on scientific integrity. RESULTS A total of 219 (6.2 %) of 3,511 invited corresponding authors participated. Thirteen (5.9 %) respondents reported having committed scientific fraud, and 60 (27.4 %) witnessed or suspect scientific fraud among their departmental members in the past 5 years. Misleading reporting (32.2 %), duplicate/redundant publication (26.3 %), plagiarism (15.3 %), and data manipulation/falsification (13.6 %) were the most commonly reported types of scientific fraud. Publication bias exists according to 184 (84.5 %) respondents, and 89 (40.6 %) respondents had honorary authors on their publications in the past 5 years. General confidence in the integrity of scientific publications ranged between 2 and 10 (median: 8) on a 0-10 point scale. Common topics of interest and concern among respondents were authorship criteria and assignments, perverse incentives (including the influence of money, funding, and academic promotions on the practice of research), and poorly performed research without intentional fraud. CONCLUSION Radiology researchers reported that scientific fraud and other undesirable practices such as publication bias and honorary authorship are relatively common. Their general confidence in the scientific integrity of published work was relatively high, but far from perfect. These data may trigger stakeholders in the radiology community to place scientific integrity higher on the agenda, and to initiate cultural and policy reforms to remove perverse research incentives.
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Maan T Almaghrabi
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Thomas C Kwee
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
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Kwee RM, Kwee TC. Retracted Publications in Medical Imaging Literature: an Analysis Using the Retraction Watch Database. Acad Radiol 2022; 30:1148-1152. [PMID: 35977877 DOI: 10.1016/j.acra.2022.06.025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/23/2022] [Accepted: 06/29/2022] [Indexed: 11/28/2022]
Abstract
RATIONALE AND OBJECTIVE It is currently unknown how many publications in the medical imaging literature are retracted and for which reasons. The purpose of this study was to perform an updated analysis on retracted medical imaging publications using the Retraction Watch Database. MATERIALS AND METHODS The Retraction Watch Database was searched for all retracted publications in the subject category "Radiology/Imaging" (no beginning date limit, search update until April 27, 2022). Reasons for retraction were extracted using standardized coding taxonomy. The number of citations per retracted publication was determined. Spearman's rho was used for statistical analysis. RESULTS 192 retractions, originally published between 1984 and 2021, were included. Most retractions originated from China (31.3%), the United States (12.5%), Japan (7.3%), and South Korea (6.3%). The number of retractions increased over the years, especially since 2000 (Spearman's rho=0.764, p <0.001). Delay between original publication and retraction ranged from 0 days to 14 years and 3 months (median of 11 months). Most common reasons for retraction were duplication of article (7.1%), plagiarism of article (6.8%), concerns/issues about data (5.4%), investigation by company/institution (4.5%), and forged authorship (4.0%). Scientific misconduct was deemed present in 107 of 192 retracted articles (55.7%). Retracted articles (of which 138 were listed in Web of Science) received a median of 2 citations (range 0-148, IQR 5). CONCLUSION The number of retracted medical imaging publications continues to increase over time, which could indicate that more compromised research has either been published or discovered. Scientific misconduct was the main cause for retraction.
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Affiliation(s)
- Robert M Kwee
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands.
| | - Thomas C Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
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15
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Kwee RM, Kwee TC. Mapping the cancer imaging research landscape: which cancers are more and which cancers are less frequently investigated? Clin Imaging 2022; 85:89-93. [PMID: 35276438 DOI: 10.1016/j.clinimag.2022.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 03/01/2022] [Accepted: 03/04/2022] [Indexed: 11/03/2022]
Abstract
OBJECTIVE To investigate the proportion of published imaging studies relative to incidence and mortality rate per cancer type. METHODS From a random sample of 2500 articles published in 2019 by the top 25 imaging-related journals, we included cancer imaging studies. The publication-to-incidence and publication-to-mortality ratios (defined as the publication rate divided by the proportional incidence and mortality rate, respectively) were calculated per cancer type. Ratios >1 indicate a higher publication rate compared to the relative incidence or mortality rate of a specific cancer. Ratios <1 indicate a lower publication rate compared to the relative incidence or mortality rate of a specific cancer. RESULTS 620 original cancer imaging studies were included. Female breast cancer (20.2%), prostate cancer (13.0%), liver cancer (12.9%), lung cancer (8.8%), and cancers in the central nervous system (8.1%) comprised the top 5 of cancers investigated. Cancers in the central nervous system and liver had publication-to-incidence ratios >2, whereas nonmelanoma of the skin, leukemia, stomach cancer, and laryngeal cancer had publication-to-incidence ratios <0.2. Cancers in the prostate, central nervous system, female breast, and kidney had publication-to-mortality ratios >2, whereas esophageal cancer, stomach cancer, laryngeal cancer, and leukemia had publication-to-mortality ratios <0.2. CONCLUSION This overview of published cancer imaging research may be informative and useful to all stakeholders in the field of cancer imaging. The potential causes of disproportionality between the publication rate vs. incidence and mortality rates of some cancer types are multifactorial and need to be further elucidated.
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
| | - Thomas C Kwee
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands
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16
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Fasen BACM, Berendsen RCM, Kwee RM. Artificial intelligence software for diagnosing intracranial arterial occlusion in patients with acute ischemic stroke. Neuroradiology 2022; 64:1579-1583. [PMID: 35137270 DOI: 10.1007/s00234-022-02912-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 02/01/2022] [Indexed: 12/01/2022]
Abstract
PURPOSE To evaluate the diagnostic performance of AI software in diagnosing intracranial arterial occlusions in the proximal anterior circulation at CT angiography (CTA) and to compare it to manual reading performed in clinical practice. METHODS Patients with acute ischemic stroke underwent CTA to detect arterial occlusion in the proximal anterior circulation. Retrospective review of CTA scans by two neuroradiologists served as reference standard. Sensitivity and specificity of AI software (StrokeViewer) were compared to those of manual reading using the McNemar test. The proportions of correctly detected occlusions in the distal internal carotid artery and/or M1 segment of the middle cerebral artery (large vessel occlusion [LVO]) and in the M2 segment of the middle cerebral artery (medium vessel occlusion [MeVO]) were calculated. RESULTS Of the 474 patients, 75 (15.8%) had an arterial occlusion in the proximal anterior circulation according to the reference standard. Sensitivity of StrokeViewer software was not significantly different compared to that of manual reading (77.3% vs. 78.7%, P = 1.000). Specificity of StrokeViewer software was significantly lower than that of manual reading (88.5% vs. 100%, P < 0.001). StrokeViewer software correctly identified 40 of 42 LVOs (95.2%) and 18 of 33 MeVOs (54.5%). StrokeViewer software detected 8 of 16 (50%) intracranial arterial occlusions which were missed by manual reading. CONCLUSION The current AI software detected intracranial arterial occlusion with moderate sensitivity and fairly high specificity. The AI software may detect additional occlusions which are missed by manual reading. As such, the use of AI software may be of value in clinical stroke care.
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Affiliation(s)
- Bram A C M Fasen
- Department of Radiology, Zuyderland Medical Center, Henri Dunantstraat 5, 6419 PC, Heerlen/Sittard/Geleen, The Netherlands
| | - Ralph C M Berendsen
- Department of Medical Physics, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Henri Dunantstraat 5, 6419 PC, Heerlen/Sittard/Geleen, The Netherlands.
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Abstract
Background Editorial board members may be biased due to conflicts of interest (COIs). Purpose To investigate the frequency and amount of payments from industry to editorial board members of imaging-related journals and whether they are in agreement with the disclosure status as provided by the journal. Materials and Methods Editorial board members of 15 U.S.-based imaging-related journals who were listed in the Open Payments database (OPD) were included. Payments from industry to editorial board members in the year 2020 were extracted from the OPD and compared with publicly available COI disclosure data as provided by the journals. The Kruskal-Wallis test was used for statistical analysis. Results A total of 519 editorial board members were included, of whom 214 (41%) received industry payment and 305 (59%) did not. Payments to editorial board members by the industry ranged from $12.63 to $404 625.47 (median, $2397.48). Most payments from industry (59%) were ascribed to consulting. Editorial board members of the journals JACC: Cardiovascular Imaging and Journal of Vascular and Interventional Radiology received significantly higher amounts of individual payments from industry than editorial board members of most other journals. Financial COI disclosures were not publicly listed for 413 of the 519 (80%) editorial board members, 169 of whom received payments from industry according to the OPD. Of the 106 editorial board members whose financial COI disclosures were publicly listed, 36 (34%) were discordant with the OPD. Conclusion Payments from industry to Open Payments database-listed editorial board members of imaging-related journals are prevalent. Imaging-related journals often do not report or do not accurately report payments from industry to their editorial board members © RSNA, 2022.
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Affiliation(s)
- Robert M Kwee
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, Henri Dunantstraat 5, 6419 PC Heerlen, the Netherlands (R.M.K.); and Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands (T.C.K.)
| | - Thomas C Kwee
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, Henri Dunantstraat 5, 6419 PC Heerlen, the Netherlands (R.M.K.); and Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands (T.C.K.)
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18
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Kwee RM, Kwee TC. Diagnostic performance of MRI in detecting locally recurrent soft tissue sarcoma: systematic review and meta-analysis. Eur Radiol 2022; 32:3915-3930. [PMID: 35020015 DOI: 10.1007/s00330-021-08457-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 10/04/2021] [Accepted: 11/03/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To systematically review the diagnostic criteria and performance of MRI in detecting locally recurrent soft tissue sarcoma. METHODS Medline and Embase were searched for original studies on the diagnostic performance of MRI detecting locally recurrent soft tissue sarcoma. Study quality was assessed using QUADAS-2. Sensitivity and specificity were pooled using a bivariate random-effects model. RESULTS Ten studies were included. There was a high risk of bias with respect to patient selection in 2 studies and a high risk of bias with respect to flow and timing in 8 studies. The presence of a mass yielded a pooled sensitivity of 80.9% and a pooled specificity of 77.0%. Hyperintensity at T2-weighted imaging yielded a pooled sensitivity of 82.4% and a pooled specificity of 11.0%. Hypo- or isointensity at T1-weighted imaging yielded a pooled sensitivity of 82.0% and a pooled specificity of 14.3%. Contrast enhancement images yielded a pooled sensitivity of 95.9% and a pooled specificity of 12.3%. Low signal mass on the apparent diffusion coefficient (ADC) map yielded a pooled sensitivity of 67.5% and a pooled specificity of 95.3%. Early and rapid arterial phase enhancement at dynamic contrast-enhanced (DCE) MRI yielded a pooled sensitivity of 91.3% and a pooled specificity of 84.7%. CONCLUSION The presence of a mass appears a useful criterion to diagnose locally recurrent soft tissue sarcoma. Signal characteristics at standard T2- and T1-weighted imaging and contrast enhancement seem less useful because they lack specificity. Functional MRI techniques, including DWI with ADC mapping and DCE, may help to make a correct diagnosis. KEY POINTS • The presence of a mass at MRI appears useful to diagnose locally recurrent soft tissue sarcoma, because both sensitivity and specificity are fairly high. • Signal characteristics at standard T2- and T1-weighted sequences and contrast enhancement suffer from poor specificity. • DWI with ADC mapping and DCE may help to make a correct diagnosis, but further research is needed to better understand the value of these functional MRI techniques.
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Thomas C Kwee
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.
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Kwee TC, Kwee RM. Chest CT in COVID-19: What the Radiologist Needs to Know. Radiographics 2022; 42:E32. [PMID: 34990334 PMCID: PMC8756353 DOI: 10.1148/rg.219015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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20
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Kwee RM, Kwee TC. Diagnostic performance of MRI in detecting residual soft tissue sarcoma after unplanned excision: Systematic review and meta-analysis. Eur J Radiol 2021; 145:110049. [PMID: 34801876 DOI: 10.1016/j.ejrad.2021.110049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 09/06/2021] [Accepted: 11/15/2021] [Indexed: 10/19/2022]
Abstract
OBJECTIVE To investigate, in a systematic review and meta-analysis, the diagnostic performance of MRI in detecting residual disease after unplanned excision of soft tissue sarcoma. METHODS Medline and Embase were searched for original studies on the diagnostic performance of MRI detecting residual soft tissue sarcoma after unplanned excision. Study quality was assessed using QUADAS-2. Sensitivity and specificity were pooled using a bivariate random-effects model. A Chi-squared test was used to test for heterogeneity. RESULTS Ten studies were included, comprising a total of 469 patients. Median frequency of residual soft tissue sarcoma was 54.6% (range 31.6-73.1%). There was high risk of bias with respect to flow and timing in one study. There were applicability concerns with respect to patient selection in four studies. Nine studies reported to use the presence of a mass as a diagnostic criterion for residual soft tissue sarcoma. Sensitivities of included studies ranged between 36.4% and 86.7%, and specificities ranged between 77.8% and 100%. Pooled sensitivity was 65.9% (95% confidence interval [CI]: 55.5-74.9%) and pooled specificity was 85.1% (95% CI: 79.1-89.6%). The area under the summary receiver operating characteristic curve was 0.852. The included studies were statistically heterogeneous in their estimates of sensitivity (P = 0.016) and statistically homogeneous in their estimates of specificity (P = 0.793). CONCLUSION The presence of a mass is the most commonly reported diagnostic criterion to diagnose residual soft tissue sarcoma after unplanned resection. MRI achieves moderate sensitivity and fairly high specificity. Pooled estimate of sensitivity was subject to heterogeneity, which needs further exploration.
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
| | - Thomas C Kwee
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands
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21
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Kwee RM, Borghans RAP, Bruls RJM, Fasen BACM, Kuburic D. Diagnostic performance of diffusion-weighted MR neurography as an adjunct to conventional MRI for the assessment of brachial plexus pathology. Eur Radiol 2021; 32:2791-2797. [PMID: 34750661 DOI: 10.1007/s00330-021-08324-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 08/30/2021] [Accepted: 09/04/2021] [Indexed: 01/01/2023]
Abstract
OBJECTIVE To investigate the diagnostic performance of diffusion-weighted (DW) MR neurography as an adjunct to conventional MRI for the assessment of brachial plexus pathology. METHODS DW MR neurography scans (short tau inversion recovery fat suppression and b-value of 800 s/mm2) of 15 consecutive patients with and 45 randomly selected patients without brachial plexus abnormalities were independently and blindly reviewed by a 5th year radiology resident, a junior neuroradiologist, and a senior neuroradiologist. RESULTS Median interpretation times ranged between 20 and 30 s. Interobserver agreement was substantial (κ coefficients of 0.715-0.739). For the 5th year radiology resident, sensitivity was 53.3% (95% CI, 30.1-75.2%) and specificity was 100% (95% CI, 92.1-100%). For the junior neuroradiologist, sensitivity was 66.7% (95% CI, 41.7-84.8%) and specificity was 100% (95% CI, 92.1-100%). For the senior neuroradiologist, sensitivity was 73.3% (95% CI, 48.1-89.1%) and specificity was 95.6% (95% CI, 85.2-98.8%). Traumatic injury, metastases, radiation-induced plexopathy, schwannoma, and inflammatory process of unknown cause could be detected by the majority of readers (100% detection rate for each disease entity by at least two readers). Neuralgic amyotrophy, iatrogenic injury after first rib resection, and cervical disc herniation causing root compression were not detected by the majority of readers (0% detection rate for each disease entity by at least two readers). CONCLUSION DW MR neurography may be a useful adjunct when assessing for brachial plexus abnormalities, because interpretation time is relatively short and the majority of abnormalities can be detected. KEY POINTS • DW MR neurography interpretation time of the brachial plexus is relatively short (median interpretation times of 20 to 30 s). • Interobserver agreement between three readers with different levels of experience is substantial (κ coefficients of 0.715 to 0.739). • DW MR neurography can detect brachial plexus abnormalities with moderate sensitivity (53.3 to 73.3%) and high specificity (95.6 to 100%).
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands.
| | - Rob A P Borghans
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Rik J M Bruls
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Bram A C M Fasen
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Damir Kuburic
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
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22
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Ardakani AA, Kwee RM, Mirza-Aghazadeh-Attari M, Castro HM, Kuzan TY, Altintoprak KM, Besutti G, Monelli F, Faeghi F, Acharya UR, Mohammadi A. A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study. Pattern Recognit Lett 2021; 152:42-49. [PMID: 34580550 PMCID: PMC8457921 DOI: 10.1016/j.patrec.2021.09.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 08/14/2021] [Accepted: 09/16/2021] [Indexed: 01/27/2023]
Abstract
Computed tomography has gained an important role in the early diagnosis of COVID-19 pneumonia. However, the ever-increasing number of patients has overwhelmed radiology departments and has caused a reduction in quality of services. Artificial intelligence (AI) systems are the remedy to the current situation. However, the lack of application in real-world conditions has limited their consideration in clinical settings. This study validated a clinical AI system, COVIDiag, to aid radiologists in accurate and rapid evaluation of COVID-19 cases. 50 COVID-19 and 50 non-COVID-19 pneumonia cases were included from each of five centers: Argentina, Turkey, Iran, Netherlands, and Italy. The Dutch database included only 50 COVID-19 cases. The performance parameters namely sensitivity, specificity, accuracy, and area under the ROC curve (AUC) were computed for each database using COVIDiag model. The most common pattern of involvement among COVID-19 cases in all databases were bilateral involvement of upper and lower lobes with ground-glass opacities. The best sensitivity of 92.0% was recorded for the Italian database. The system achieved an AUC of 0.983, 0.914, 0.910, and 0.882 for Argentina, Turkey, Iran, and Italy, respectively. The model obtained a sensitivity of 86.0% for the Dutch database. COVIDiag model could diagnose COVID-19 pneumonia in all of cohorts with AUC of 0.921 (sensitivity, specificity, and accuracy of 88.8%, 87.0%, and 88.0%, respectively). Our study confirmed the accuracy of our proposed AI model (COVIDiag) in the diagnosis of COVID-19 cases. Furthermore, the system demonstrated consistent optimal diagnostic performance on multinational databases, which is critical to determine the generalizability and objectivity of the proposed COVIDiag model. Our results are significant as they provide real-world evidence regarding the applicability of AI systems in clinical medicine.
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Affiliation(s)
- Ali Abbasian Ardakani
- Radiology Technology Department, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard-Geleen, the Netherlands
| | | | | | - Taha Yusuf Kuzan
- Department of Radiology, Sancaktepe Sehit Prof. Dr. Ilhan Varank Training and Research Hospital, Istanbul, Turkey
| | - Kübra Murzoğlu Altintoprak
- Department of Radiology, Sancaktepe Sehit Prof. Dr. Ilhan Varank Training and Research Hospital, Istanbul, Turkey
| | - Giulia Besutti
- Radiology Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Italy.,Clinical and Experimental Medicine PhD program, University of Modena and Reggio Emilia, Modena, Italy
| | - Filippo Monelli
- Radiology Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Italy.,Clinical and Experimental Medicine PhD program, University of Modena and Reggio Emilia, Modena, Italy
| | - Fariborz Faeghi
- Radiology Technology Department, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - U Rajendra Acharya
- Ngee Ann Polytechnic, Department of Electronics and Computer Engineering, 599489, Singapore.,Department of Biomedical Engineering, School of Science and Technology, SUSS University, Singapore.,Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan
| | - Afshin Mohammadi
- Department of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran
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23
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Kwee TC, Kwee RM. Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence. Insights Imaging 2021; 12:88. [PMID: 34185175 PMCID: PMC8241957 DOI: 10.1186/s13244-021-01031-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 06/08/2021] [Indexed: 12/13/2022] Open
Abstract
Objective To determine the anticipated contribution of recently published medical imaging literature, including artificial intelligence (AI), on the workload of diagnostic radiologists. Methods This study included a random sample of 440 medical imaging studies published in 2019. The direct contribution of each study to patient care and its effect on the workload of diagnostic radiologists (i.e., number of examinations performed per time unit) was assessed. Separate analyses were done for an academic tertiary care center and a non-academic general teaching hospital. Results In the academic tertiary care center setting, 65.0% (286/440) of studies could directly contribute to patient care, of which 48.3% (138/286) would increase workload, 46.2% (132/286) would not change workload, 4.5% (13/286) would decrease workload, and 1.0% (3/286) had an unclear effect on workload. In the non-academic general teaching hospital setting, 63.0% (277/240) of studies could directly contribute to patient care, of which 48.7% (135/277) would increase workload, 46.2% (128/277) would not change workload, 4.3% (12/277) would decrease workload, and 0.7% (2/277) had an unclear effect on workload. Studies with AI as primary research area were significantly associated with an increased workload (p < 0.001), with an odds ratio (OR) of 10.64 (95% confidence interval (CI) 3.25–34.80) in the academic tertiary care center setting and an OR of 10.45 (95% CI 3.19–34.21) in the non-academic general teaching hospital setting. Conclusions Recently published medical imaging studies often add value to radiological patient care. However, they likely increase the overall workload of diagnostic radiologists, and this particularly applies to AI studies. Supplementary Information The online version contains supplementary material available at 10.1186/s13244-021-01031-4.
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Affiliation(s)
- Thomas C Kwee
- Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen, Sittard-Geleen, The Netherlands
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24
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Kwee RM, Kwee TC. A New Working Paradigm for Radiologists in the Post-COVID-19 World. J Am Coll Radiol 2021; 19:324-326. [PMID: 34245674 PMCID: PMC8233864 DOI: 10.1016/j.jacr.2021.06.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 06/10/2021] [Accepted: 06/15/2021] [Indexed: 10/28/2022]
Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands.
| | - Thomas C Kwee
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands
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Mohajer B, Kwee RM, Guermazi A, Berenbaum F, Wan M, Zhen G, Cao X, Haugen IK, Demehri S. Metabolic Syndrome and Osteoarthritis Distribution in the Hand Joints: A Propensity Score Matching Analysis From the Osteoarthritis Initiative. J Rheumatol 2021; 48:1608-1615. [PMID: 34329188 DOI: 10.3899/jrheum.210189] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/02/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To investigate the metabolic syndrome (MetS) association with radiographic and symptomatic hand osteoarthritis (HOA). METHODS Using 1:2 propensity score matching for relevant confounders, we included 2509 participants (896 MetS positive and 1613 MetS negative) from the Osteoarthritis Initiative dataset. MetS and its components, according to the International Diabetes Federation criteria, were extracted from baseline data, and included hypertension, abdominal obesity, dyslipidemia, and diabetes. We scored distinct hand joints based on the modified Kellgren-Lawrence (mKL) grade of baseline radiographs, with HOA defined as mKL ≥ 2. In the cross-sectional analysis, we investigated the association between MetS and its components with radiographic HOA and the presence of nodal and erosive HOA phenotypes using regression models. In the longitudinal analysis, we performed Cox regression analysis for hand pain incidence in follow-up visits. RESULTS MetS was associated with higher odds of radiographic HOA, including the number of joints with OA (OR 1.32, 95% CI 1.08-1.62), the sum of joints mKLs (OR 2.42, 95% CI 1.24-4.71), mainly in distal interphalangeal joints (DIPs) and proximal interphalangeal joints (PIPs; OR 1.52, 95% CI 1.08-2.14 and OR 1.38, 95% CI 1.09-1.75, respectively), but not metacarpophalangeal (MCP) and first carpometacarpal (CMC1) joints. Hand pain incidence during follow-up was higher with MetS presence (HR 1.25, 95% CI 1.07-1.47). The erosive HOA phenotype and joints' nodal involvement were more frequent with MetS (OR 1.40, 95% CI 1.01-1.97 and OR 1.28, 95% CI 1.02-1.60, respectively). CONCLUSION MetS, a potentially modifiable risk factor, is associated with radiographic DIP and PIP OA and longitudinal hand pain incidence while sparing MCPs and CMC1s. Nodal and erosive HOA phenotypes are associated with MetS, suggestive of possible distinct pathophysiology.
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Affiliation(s)
- Bahram Mohajer
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Robert M Kwee
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Ali Guermazi
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Francis Berenbaum
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Mei Wan
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Gehua Zhen
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Xu Cao
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Ida K Haugen
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
| | - Shadpour Demehri
- This research was supported by the National Institutes of Health (NIH) National Institute on Aging under award number P01AG066603. The Osteoarthritis Initiative (OAI), a collaborative project between public and private sectors, includes 5 contracts: N01-AR-2-2258, N01-AR-2-2259, N01-AR-2-2260, N01-AR-2-2261, and N01-AR-2-2262. The OAI is conducted by the OAI project investigators and is financially supported by the National Institutes of Health (NIH). Private funding partners are Merck Research Laboratories, Novartis Pharmaceuticals Corporation, GlaxoSmithKline, and Pfizer Inc. In preparing this manuscript, publicly available OAI project datasets were used. The results of this work do not necessarily reflect the opinions of the OAI project investigators, the NIH, or the private funding partners. B. Mohajer, MD, MPH, S. Demehri, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; R.M. Kwee, MD, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, and Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/ Geleen, the Netherlands; A. Guermazi, MD, PhD, Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; F. Berenbaum, MD, PhD, Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hospital Saint Antoine, Paris, France; M. Wan, PhD, G. Zhen, MD, X. Cao, PhD, Department of Orthopedic Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; I.K. Haugen, MD, PhD, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway. AG has received funding from MerckSerono, AstraZeneca, Galapagos, Pfizer, Roche, TissueGene ( for consultation), and Boston Imaging Core Lab (as the president and stockholder). SD has received funding from Toshiba Medical Systems ( for consultation) and grants from the GE Radiology Research Academic Fellowship and Carestream Health ( for a clinical trial study). IH has received funding from the Southeastern Norway Health Authority. None of the authors have any conflicting personal or financial relationships that could have influenced the results of this study. The other authors have no competing interests to declare. Address correspondence to Dr. B. Mohajer, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC 5165, Baltimore, MD 21287, USA. . Accepted for publication June 2, 2021
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Kwee RM, Kwee TC. Communication and empathy skills: Essential requisites for patient-centered radiology care. Eur J Radiol 2021; 140:109754. [PMID: 33964705 DOI: 10.1016/j.ejrad.2021.109754] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 04/04/2021] [Accepted: 05/02/2021] [Indexed: 11/17/2022]
Abstract
PURPOSE To investigate how patients value radiologists, using data from the Dutch healthcare assessment website. METHOD The Dutch healthcare assessment website was searched for patient reviews about radiologists in The Netherlands. The scores (scale of 1-10) assigned to the most recent review of each radiologist were extracted. All written reviews were assessed using standardized coding taxonomy, in the domains "clinical competencies" (including quality and safety of clinical care) and "relationships" (including communication with patients and humaneness/caring). For each category, it was assessed whether the review was positive or negative with regard to the performance of the radiologist. RESULTS 217 of 941 radiologists (23 %) had been reviewed between 2017 and 2021. The total number of institutions to which these radiologists were affiliated was 75 (6 academic and 69 non-academic institutions). Median score assigned to each review was 9.6 (interquartile range 1.3, range 1-10). 74 of 217 radiologists (34 %) were given a maximum review score of 10. 29 of 217 radiologists (13 %) were given a review score of 5 or lower. The far majority of reviews concerned the categories communication (36 % of all positive patient reviews and 30 % of all negative patient reviews) and humaneness/caring (45 % of all positive patient reviews and 49 % of all negative patient reviews). CONCLUSION Radiologists are generally highly valued by patients, although there is room for improvement to decrease the number of negative patient experiences. Communication and empathy appear to be the most important skills on which radiologists are judged from a patient's perspective.
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen, Sittard, Geleen, the Netherlands
| | - Thomas C Kwee
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, the Netherlands.
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Adams HJA, Kwee TC, Kwee RM. Response. Chest 2021; 159:2108. [PMID: 33965135 PMCID: PMC8097315 DOI: 10.1016/j.chest.2021.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 01/04/2021] [Indexed: 11/30/2022] Open
Affiliation(s)
- Hugo J A Adams
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Thomas C Kwee
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen, The Netherlands
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Kwee TC, Kwee RM. Point-of-care ultrasound (POCUS): An opportunity for radiologists to improve patient care? Eur J Radiol 2021; 139:109690. [PMID: 33823372 DOI: 10.1016/j.ejrad.2021.109690] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 03/29/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Thomas C Kwee
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands.
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
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Kwee TC, Kasalak Ö, Yakar D, Kwee RM. Starting as a Newly Graduated Radiologist: Survival Tips From Experience Experts. J Am Coll Radiol 2021; 18:1009-1011. [PMID: 33798495 DOI: 10.1016/j.jacr.2021.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Thomas C Kwee
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands.
| | - Ömer Kasalak
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Derya Yakar
- Medical Imaging Center, Department of Radiology, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
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Fasen BACM, Borghans RAP, Heijboer RJJ, Hulsmans FJH, Kwee RM. Reliability and accuracy of 3-mm and 2-mm maximum intensity projection CT angiography to detect intracranial large vessel occlusion in patients with acute anterior cerebral circulation stroke. Neuroradiology 2021; 63:1611-1616. [PMID: 33533946 DOI: 10.1007/s00234-021-02659-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Accepted: 01/26/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE To evaluate the reliability and accuracy of thick maximum intensity projection (MIP) CTA images to detect large-vessel occlusion (LVO) in the anterior circulation in patients with acute stroke. METHODS A total of 140 acute stroke patients (41 with and 99 without LVO) were evaluated by two neuroradiologists for LVO using axial 3-mm and 2-mm MIPs. RESULTS Interobserver agreement was substantial using 3-mm MIPs (ĸ = 0.67) and almost perfect using 2-mm MIPs (ĸ = 0.82). Using 3-mm MIPs, sensitivities were 80.5% and 68.3%, with specificities of 98.0% and 96.0%. Using 2-mm MIPs, sensitivities were 82.9% and 73.2%, with specificities of 98.0% and 99.0%. Sensitivity and specificity of 3 mm and 2 mm MIPs were not statistically significantly different (P ≥ 0.375). The majority of LVOs in the distal intracranial carotid artery, and/or M1-segment were correctly identified: 96.0% (observer 1, 3-mm MIPs), 88.0% (observer 2, 3-mm MIPs), 96.0% (observer 1, 2-mm MIPs), and 96.0% (observer 2, 2 mm MIPs). Using 3-mm MIP images, observers 1 and 2 missed 7/15 (46.7%) and 9/15 (60.0%) of isolated M2-segment occlusions, respectively. Using 2-mm MIP images, observers 1 and 2 missed 5/15 (33.3%) and 6/15 (40.0%) of isolated M2-segment occlusions, respectively. CONCLUSION Thick (2-3 mm) axial MIPs are not useful to detect proximal LVO in the anterior circulation.
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Affiliation(s)
- Bram A C M Fasen
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Rob A P Borghans
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Roeland J J Heijboer
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Frans-Jan H Hulsmans
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands.
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Kwee RM, Adams HJA, Kwee TC. Diagnostic Performance of CO-RADS and the RSNA Classification System in Evaluating COVID-19 at Chest CT: A Meta-Analysis. Radiol Cardiothorac Imaging 2021; 3:e200510. [PMID: 33778660 PMCID: PMC7808356 DOI: 10.1148/ryct.2021200510] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
PURPOSE To determine the diagnostic performance of the COVID-19 Reporting and Data System (CO-RADS) and the Radiological Society of North America (RSNA) categorizations in patients with clinically suspected coronavirus disease 2019 (COVID-19) infection. MATERIALS AND METHODS In this meta-analysis, studies from 2020, up to August 24, 2020 were assessed for inclusion criteria of studies that used CO-RADS or the RSNA categories for scoring chest CT in patients with suspected COVID-19. A total of 186 studies were identified. After review of abstracts and text, a total of nine studies were included in this study. Patient information (n¸ age, sex), CO-RADS and RSNA scoring categories, and other study characteristics were extracted. Study quality was assessed with the QUADAS-2 tool. Meta-analysis was performed with a random effects model. RESULTS Nine studies (3283 patients) were included. Overall study quality was good, except for risk of non-performance of repeated reverse transcriptase polymerase chain reaction (RT-PCR) after negative initial RT-PCR and persistent clinical suspicion in four studies. Pooled COVID-19 frequencies in CO-RADS categories were: 1, 8.8%; 2, 11.1%; 3, 24.6%; 4, 61.9%; and 5, 89.6%. Pooled COVID-19 frequencies in RSNA classification categories were: negative 14.4%; atypical, 5.7%; indeterminate, 44.9%; and typical, 92.5%. Pooled pairs of sensitivity and specificity using CO-RADS thresholds were the following: at least 3, 92.5% (95% CI: 87.1, 95.7) and 69.2% (95%: CI: 60.8, 76.4); at least 4, 85.8% (95% CI: 78.7, 90.9) and 84.6% (95% CI: 79.5, 88.5); and 5, 70.4% (95% CI: 60.2, 78.9) and 93.1% (95% CI: 87.7, 96.2). Pooled pairs of sensitivity and specificity using RSNA classification thresholds for indeterminate were 90.2% (95% CI: 87.5, 92.3) and 75.1% (95% CI: 68.9, 80.4) and for typical were 65.2% (95% CI: 37.0, 85.7) and 94.9% (95% CI: 86.4, 98.2). CONCLUSION COVID-19 infection frequency was higher in patients categorized with higher CORADS and RSNA classification categories.
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Affiliation(s)
- Robert M. Kwee
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands (R.M.K.); Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands. (H.J.A.A.); Department of Radiology, Nuclear Medicine and Molecular Imaging University Medical Center Groningen, University of Groningen, Groningen, The Netherlands (T.C.K.)
| | - Hugo J. A. Adams
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands (R.M.K.); Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands. (H.J.A.A.); Department of Radiology, Nuclear Medicine and Molecular Imaging University Medical Center Groningen, University of Groningen, Groningen, The Netherlands (T.C.K.)
| | - Thomas C. Kwee
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands (R.M.K.); Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands. (H.J.A.A.); Department of Radiology, Nuclear Medicine and Molecular Imaging University Medical Center Groningen, University of Groningen, Groningen, The Netherlands (T.C.K.)
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Affiliation(s)
- Robert M. Kwee
- Department of Radiology, Zuyderland Medical Center,
Heerlen/Sittard/Geleen, Henri Dunantstraat 5, 6419 PC Heerlen, the
Netherlands
| | - Hugo J. A. Adams
- Department of Radiology, Zuyderland Medical Center,
Heerlen/Sittard/Geleen, Henri Dunantstraat 5, 6419 PC Heerlen, the
Netherlands
- Department of Radiology, Nuclear Medicine and Molecular Imaging.
University Medical Center Groningen, University of Groningen, Groningen, the
Netherlands
| | - Thomas C. Kwee
- Department of Radiology, Nuclear Medicine and Molecular Imaging.
University Medical Center Groningen, University of Groningen, Groningen, the
Netherlands
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Alkhawtani RHM, Kwee TC, Kwee RM. Gender diversity among editorial boards of radiology-related journals. Clin Imaging 2021; 75:30-33. [PMID: 33493734 DOI: 10.1016/j.clinimag.2021.01.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 12/30/2020] [Accepted: 01/06/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE To investigate gender diversity in editorial boards among a wide range of radiology-related journals, the trend in time, and its association with the journal's impact factor (IF). METHOD The Journal Citation Reports website was searched for radiology-related journals journals with IF>2.0. Gender of the editor-in-chief and all editorial board members as listed on each journal's official website were determined. Mann-Whitney U test and Spearman's rho test were used for statistical analyses. Current data were compared to historical data. RESULTS Fifty-seven radiology-related journals were included. The names of 4176 persons were extracted. A woman was in charge as the only editor-in-chief in 5 of 57 journals (8.8%). Median percentage of female editorial board members was 21.5% (range 3.2%-52.0%). Female editorial board members were in the majority in only two journals, with proportions of 51.4% and 52.0%. IFs between journals with female and male editors-in-chief were not significantly different (median 3.00, range 2.21-7.82 vs. median 3.31, range 2.02-10.98; P = 0.951). There was no significant association between percentage of female editorial board members and a journal's IF (Spearman's rho = -0.019, P = 0.889). The proportion of women has increased compared to historical data. CONCLUSION Women are underrepresented in a wide range of radiology-related journals. Comparison with historical data shows that the proportion of women on editorial boards has increased. Nevertheless, gender composition of the editorial board shows no association with IF. This suggests similar gender bias exists across a broad spectrum of high impact factor journals, with no added bias in journals with higher IF.
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Affiliation(s)
- Rayan H M Alkhawtani
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Thomas C Kwee
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
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Kwee RM, Adams HJA, Kwee TC. Pulmonary embolism in patients with COVID-19 and value of D-dimer assessment: a meta-analysis. Eur Radiol 2021; 31:8168-8186. [PMID: 33966132 PMCID: PMC8106765 DOI: 10.1007/s00330-021-08003-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 03/24/2021] [Accepted: 04/19/2021] [Indexed: 02/03/2023]
Abstract
PURPOSE To investigate, in a meta-analysis, the frequency of pulmonary embolism (PE) in patients with COVID-19 and whether D-dimer assessment may be useful to select patients for computed tomography pulmonary angiography (CTPA). METHODS A systematic literature search was performed for original studies which reported the frequency of PE on CTPA in patients with COVID-19. The frequency of PE, the location of PE, and the standardized mean difference (SMD) of D-dimer levels between patients with and without PE were pooled by random effects models. RESULTS Seventy-one studies were included. Pooled frequencies of PE in patients with COVID-19 at the emergency department (ED), general wards, and intensive care unit (ICU) were 17.9% (95% CI: 12.0-23.8%), 23.9% (95% CI: 15.2-32.7%), and 48.6% (95% CI: 41.0-56.1%), respectively. PE was more commonly located in peripheral than in main pulmonary arteries (pooled frequency of 65.3% [95% CI: 60.0-70.1%] vs. 32.9% [95% CI: 26.7-39.0%]; OR = 3.540 [95% CI: 2.308-5.431%]). Patients with PE had significantly higher D-dimer levels (pooled SMD of 1.096 [95% CI, 0.844-1.349]). D-dimer cutoff levels which have been used to identify patients with PE varied between 1000 and 4800 μg/L. CONCLUSION The frequency of PE in patients with COVID-19 is highest in the ICU, followed by general wards and the ED. PE in COVID-19 is more commonly located in peripheral than in central pulmonary arteries, which suggests local thrombosis to play a major role. D-dimer assessment may help to select patients with COVID-19 for CTPA, using D-dimer cutoff levels of at least 1000 μg/L. KEY POINTS • The frequency of PE in patients with COVID-19 is highest in the ICU, followed by general wards and the ED. • PE in COVID-19 is more commonly located in peripheral than in central pulmonary arteries. • D-dimer levels are significantly higher in patients with COVID-19 who have PE.
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands.
| | | | - Thomas C Kwee
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Adams HJA, Kwee TC, Yakar D, Hope MD, Kwee RM. Systematic Review and Meta-Analysis on the Value of Chest CT in the Diagnosis of Coronavirus Disease (COVID-19): Sol Scientiae, Illustra Nos. AJR Am J Roentgenol 2020; 215:1342-1350. [DOI: 10.2214/ajr.20.23391] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Affiliation(s)
- Hugo J. A. Adams
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Thomas C. Kwee
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO Box 30.001, 9700 RB Groningen, The Netherlands
| | - Derya Yakar
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO Box 30.001, 9700 RB Groningen, The Netherlands
| | - Michael D. Hope
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
- Radiology Service, Veterans Affairs Medical Center, San Francisco, CA
| | - Robert M. Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
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Fasen BACM, Heijboer RJJ, Hulsmans FJH, Kwee RM. Diagnostic performance of single-phase CT angiography in detecting large vessel occlusion in ischemic stroke: A systematic review. Eur J Radiol 2020; 134:109458. [PMID: 33302028 DOI: 10.1016/j.ejrad.2020.109458] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 09/24/2020] [Accepted: 11/30/2020] [Indexed: 11/17/2022]
Abstract
PURPOSE To systematically review the diagnostic performance of single-phase CT angiography (CTA) in detecting intracranial large vessel occlusion (LVO). METHOD MEDLINE and Embase were searched for studies investigating the diagnostic performance of single-phase CTA in detecting LVO. Study quality was assessed. Sensitivity and specificity were calculated and meta-analyzed with a bivariate random-effects model. Heterogeneity was assessed with a chi-squared test. RESULTS Eleven studies were included. High risk of bias with regard to "patient selection", "reference standard", and "flow and timing" was present in 4, 1, and 2 studies, respectively. In 7 studies, it was unclear whether reference tests were interpreted blinded to CTA readings. There was variability in types of vessel segments analyzed, resulting in heterogeneous sensitivity and specificity (P < 0.05). Two studies provided data for the proximal anterior circulation (distal intracranial carotid artery, A1-, A2-, M1- and M2-segments), with pooled sensitivity of 88.4 % (95 % CI: 62.2-97.2 %) and pooled specificity of 98.5 % (95 % CI: 33.2-100 %). One study suggested that multiphase CTA improved agreement between nonexperts and an expert in detecting A1-, A2-, M1-, M2-, and M3-segment occlusions compared to single-phase CTA (ĸ = 0.72-0.76 vs. ĸ = 0.32-0.45). No other included study reported added value of advanced CTA (CT perfusion, 4D-CTA, or multiphase CTA) compared to single-phase CTA in detecting proximal anterior circulation LVO. CONCLUSION There is lack of high-quality studies on the diagnostic performance of single-phase CTA for LVO detection in the proximal anterior circulation. The added value of advanced CTA techniques in detecting proximal anterior circulation LVO is not completely clear yet.
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Affiliation(s)
- Bram A C M Fasen
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
| | - Roeland J J Heijboer
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
| | - Frans-Jan H Hulsmans
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
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Abstract
OBJECTIVE To investigate peer review practices by medical imaging journals. METHODS Journals in the category "radiology, nuclear medicine and medical imaging" of the 2018 Journal Citation Reports were included. RESULTS Of 119 included journals, 62 (52.1%) used single-blinded peer review, 49 (41.2%) used double-blinded peer review, two (1.7%) used open peer review and one (0.8%) used both single-blinded and double-blinded peer reviews, while the peer review model of five journals (4.2%) remained unclear. The use of single-blinded peer review was significantly associated with a journal's impact factor (correlation coefficient of 0.218, P = 0.022). On subgroup analysis, only subspecialty medical imaging journals had a significant association between the use of single-blinded peer review and a journal's impact factor (correlation coefficient of 0.354, P = 0.025). Forty-eight journals (40.3%) had a reviewer preference option, 48 journals (40.3%) did not have a reviewer recommendation option, and 23 journals (19.3%) obliged authors to indicate reviewers on their manuscript submission systems. Sixty-four journals (53.8%) did not provide an explicit option on their manuscript submission Web site to indicate nonpreferred reviewers, whereas 55 (46.2%) did. There were no significant associations between the option or obligation to indicate preferred or nonpreferred reviewers and a journal's impact factor. CONCLUSION Single-blinded peer review and the option or obligation to indicate preferred or nonpreferred reviewers are frequently employed by medical imaging journals. Single-blinded review is (weakly) associated with a higher impact factor, also for subspecialty journals. The option or obligation to indicate preferred or nonpreferred reviewers is evenly distributed among journals, regardless of impact factor.
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Affiliation(s)
- Thomas C Kwee
- Medical Imaging Center, Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.
| | - Hugo J A Adams
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen, Sittard-Geleen, The Netherlands
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Abstract
Background The objective of this study is to investigate the workload for radiologists during on-call hours and to quantify the 15-year trend in a large general hospital in Western Europe. Methods Data regarding the number of X-ray, ultrasound and computed tomography (CT) studies during on-call hours (weekdays between 6.00 p.m. and 7.00 a.m., weekends, and national holidays) between 2006 and 2020 were extracted from the picture archiving and communication system. All studies were converted into relative value units (RVUs) to estimate the on-call workload. The Mann–Kendall test was performed to assess the temporal trend. Results The total RVUs during on-call hours showed a significant increase between 2006 and 2020 (Kendall's tau-b = 0.657, p = 0.001). The overall workload in terms of RVUs during on-call hours has quadrupled. The number of X-ray studies significantly decreased (Kendall's tau-b = − 0.433, p = 0.026), whereas the number of CT studies significantly increased (Kendall's tau-b = 0.875, p < 0.001) between 2006 and 2020. CT studies which increased by more than 500% between 2006 and 2020 are CT for head trauma, brain CTA, brain CTV, chest CT (for suspected pulmonary embolism), spinal CT, neck CT, pelvic CT, and CT for suspected aortic dissection. The number of ultrasound studies did not change significantly (Kendall's tau-b = 0.202, p = 0.298). Conclusions The workload for radiologists during on-call hours increased dramatically in the past 15 years. The growing amount of CT studies is responsible for this increase. Radiologist and technician workforce should be matched to this ongoing increasing trend to avoid potential burn-out and to maintain quality and safety of radiological care.
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Affiliation(s)
- R J M Bruls
- Department of Radiology, Zuyderland Medical Center, Henri Dunantstraat 5, 6419 PC, Heerlen, The Netherlands.
| | - R M Kwee
- Department of Radiology, Zuyderland Medical Center, Henri Dunantstraat 5, 6419 PC, Heerlen, The Netherlands
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Zikria B, Johnson A, Hafezi-Nejad N, Siddiqui Y, Kwee RM, Ahlawat S, Morelli JN, Fayad LM, Kompel AJ, Haj-Mirzaian A, Pishgar F, Demehri S. Association Between MRI-Based Tibial Slope Measurements and Mucoid Degeneration of the Anterior Cruciate Ligament: A Propensity Score-Matched Case-Control Study. Orthop J Sports Med 2020; 8:2325967120962804. [PMID: 33225010 PMCID: PMC7658517 DOI: 10.1177/2325967120962804] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 05/22/2020] [Indexed: 12/16/2022] Open
Abstract
Background The cause of mucoid degeneration (MD) of the anterior cruciate ligament (ACL), which is commonly observed on magnetic resonance imaging (MRI) of patients with knee pain, has yet to be elucidated. Despite the limited evidence on the relationship between ACL lesions (injury and MD) and tibial morphologic features (ie, posterior tibial slope), the potential association between the presence of ACL MD and medial and lateral tibial slope (MTS and LTS) has not been well-established. Purpose To investigate whether MTS and LTS measurements are associated with the presence of ACL MD. Study Design Cross-sectional study; Level of evidence, 3. Methods Consecutive knee MRI examinations of patients referred by an orthopaedic surgeon for potential internal joint derangements were identified within a 4-year period. The presence of ACL MD and the MTS/LTS values were assessed by independent expert observers in consensus in a blinded fashion. From 413 consecutive knee MRI scans, a sample of 80 knees, including 32 knees with ACL MD (cases) and 48 knees with normal ACL (controls), were selected using propensity score matching method for age, sex, body mass index, and presence of severe medial tibiofemoral compartment cartilage damage. The association between ACL MD and MTS/LTS was evaluated using conditional regression models. Results Knees with ACL MD had higher values of LTS (mean ± SD, 7.18° ± 3.58°) in comparison with control knees (5.32° ± 3.35°). Conditional regression analysis revealed a significant association between LTS measurements (not MTS) and ACL MD; every 1° increase in LTS was associated with a 17% (95% CI, 1%-35%) higher probability of having ACL MD. Conclusion Excessive LTS was associated with the presence of ACL MD, independent of participants' age, sex, BMI, and cartilage damage severity.
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Affiliation(s)
- Bashir Zikria
- Department of Orthopaedic Surgery, Johns Hopkins University, Baltimore, Maryland, USA
| | - Alex Johnson
- Department of Orthopaedic Surgery, Johns Hopkins University, Baltimore, Maryland, USA
| | - Nima Hafezi-Nejad
- Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Yalda Siddiqui
- Department of Orthopaedic Surgery, Johns Hopkins University, Baltimore, Maryland, USA.,Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Robert M Kwee
- Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.,Department of Radiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Shivani Ahlawat
- Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - John N Morelli
- Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Laura M Fayad
- Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Andrew J Kompel
- Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Arya Haj-Mirzaian
- Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Farhad Pishgar
- Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Shadpour Demehri
- Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
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Affiliation(s)
- R M Kwee
- Department of RadiologyZuyderland Medical CenterHeerlen/Sittard/Geleen, the Netherlands
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Adams HJA, Kwee TC, Yakar D, Hope MD, Kwee RM. Chest CT Imaging Signature of Coronavirus Disease 2019 Infection: In Pursuit of the Scientific Evidence. Chest 2020; 158:1885-1895. [PMID: 32592709 PMCID: PMC7314684 DOI: 10.1016/j.chest.2020.06.025] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/01/2020] [Accepted: 06/12/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Chest CT may be used for the diagnosis of coronavirus disease 2019 (COVID-19), but clear scientific evidence is lacking. Therefore, we systematically reviewed and meta-analyzed the chest CT imaging signature of COVID-19. RESEARCH QUESTION What is the chest CT imaging signature of COVID-19 infection? STUDY DESIGN AND METHODS A systematic literature search was performed for original studies on chest CT imaging findings in patients with COVID-19. Methodologic quality of studies was evaluated. Pooled prevalence of chest CT imaging findings were calculated with the use of a random effects model in case of between-study heterogeneity (predefined as I2 ≥50); otherwise, a fixed effects model was used. RESULTS Twenty-eight studies were included. The median number of patients with COVID-19 per study was 124 (range, 50-476), comprising a total of 3,466 patients. Median prevalence of symptomatic patients was 99% (range, >76.3%-100%). Twenty-seven of the studies (96%) had a retrospective design. Methodologic quality concerns were present with either risk of or actual referral bias (13 studies), patient spectrum bias (eight studies), disease progression bias (26 studies), observer variability bias (27 studies), and test review bias (14 studies). Pooled prevalence was 10.6% for normal chest CT imaging findings. Pooled prevalences were 90.0% for posterior predilection, 81.0% for ground-glass opacity, 75.8% for bilateral abnormalities, 73.1% for left lower lobe involvement, 72.9% for vascular thickening, and 72.2% for right lower lobe involvement. Pooled prevalences were 5.2% for pleural effusion, 5.1% for lymphadenopathy, 4.1% for airway secretions/tree-in-bud sign, 3.6% for central lesion distribution, 2.7% for pericardial effusion, and 0.7% for cavitation/cystic changes. Pooled prevalences of other CT imaging findings ranged between 10.5% and 63.2%. INTERPRETATION Studies on chest CT imaging findings in COVID-19 suffer from methodologic quality concerns. More high-quality research is necessary to establish diagnostic CT criteria for COVID-19. Based on the available evidence that requires cautious interpretation, several chest CT imaging findings appear to be suggestive of COVID-19, but normal chest CT imaging findings do not exclude COVID-19, not even in symptomatic patients.
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Affiliation(s)
- Hugo J A Adams
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Thomas C Kwee
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
| | - Derya Yakar
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Michael D Hope
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA; Radiology Service, Veterans Affairs Medical Center, San Francisco, CA
| | - Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
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Abstract
Chest CT has a potential role in the diagnosis, detection of complications, and prognostication of coronavirus disease 2019 (COVID-19). Implementation of appropriate precautionary safety measures, chest CT protocol optimization, and a standardized reporting system based on the pulmonary findings in this disease will enhance the clinical utility of chest CT. However, chest CT examinations may lead to both false-negative and false-positive results. Furthermore, the added value of chest CT in diagnostic decision making is dependent on several dynamic variables, most notably available resources (real-time reverse transcription-polymerase chain reaction [RT-PCR] tests, personal protective equipment, CT scanners, hospital and radiology personnel availability, and isolation room capacity) and the prevalence of both COVID-19 and other diseases with overlapping manifestations at chest CT. Chest CT is valuable to detect both alternative diagnoses and complications of COVID-19 (acute respiratory distress syndrome, pulmonary embolism, and heart failure), while its role for prognostication requires further investigation. The authors describe imaging and managing care of patients with COVID-19, with topics including (a) chest CT protocol, (b) chest CT findings of COVID-19 and its complications, (c) the diagnostic accuracy of chest CT and its role in diagnostic decision making and prognostication, and (d) reporting and communicating chest CT findings. The authors also review other specific topics, including the pathophysiology and clinical manifestations of COVID-19, the World Health Organization case definition, the value of performing RT-PCR tests, and the radiology department and personnel impact related to performing chest CT in COVID-19. ©RSNA, 2020.
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Affiliation(s)
- Thomas C. Kwee
- From the Department of Radiology, Nuclear Medicine and Molecular
Imaging, University Medical Center Groningen, University of Groningen,
Hanzeplein 1, PO Box 30.001, 9700 RB, Groningen, the Netherlands (T.C.K.); and
Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard-Geleen, the
Netherlands (R.M.K.)
| | - Robert M. Kwee
- From the Department of Radiology, Nuclear Medicine and Molecular
Imaging, University Medical Center Groningen, University of Groningen,
Hanzeplein 1, PO Box 30.001, 9700 RB, Groningen, the Netherlands (T.C.K.); and
Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard-Geleen, the
Netherlands (R.M.K.)
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Affiliation(s)
- Hugo J.A. Adams
- Department of Radiology and Nuclear Medicine, Amsterdam University
Medical Center, University of Amsterdam, Amsterdam, The Netherlands (H.J.A.A.);
Department of Radiology, Nuclear Medicine and Molecular Imaging University
Medical Center Groningen, University of Groningen, Groningen, The Netherlands
(T.C.K.); Department of Radiology, Zuyderland Medical Center,
Heerlen/Sittard/Geleen, The Netherlands (R.M.K.); Russell H. Morgan Department
of Radiology and Radiological Science, Johns Hopkins University School of
Medicine, Baltimore, MD, USA (R.M.K.)
| | - Thomas C. Kwee
- Department of Radiology and Nuclear Medicine, Amsterdam University
Medical Center, University of Amsterdam, Amsterdam, The Netherlands (H.J.A.A.);
Department of Radiology, Nuclear Medicine and Molecular Imaging University
Medical Center Groningen, University of Groningen, Groningen, The Netherlands
(T.C.K.); Department of Radiology, Zuyderland Medical Center,
Heerlen/Sittard/Geleen, The Netherlands (R.M.K.); Russell H. Morgan Department
of Radiology and Radiological Science, Johns Hopkins University School of
Medicine, Baltimore, MD, USA (R.M.K.)
| | - Robert M. Kwee
- Department of Radiology and Nuclear Medicine, Amsterdam University
Medical Center, University of Amsterdam, Amsterdam, The Netherlands (H.J.A.A.);
Department of Radiology, Nuclear Medicine and Molecular Imaging University
Medical Center Groningen, University of Groningen, Groningen, The Netherlands
(T.C.K.); Department of Radiology, Zuyderland Medical Center,
Heerlen/Sittard/Geleen, The Netherlands (R.M.K.); Russell H. Morgan Department
of Radiology and Radiological Science, Johns Hopkins University School of
Medicine, Baltimore, MD, USA (R.M.K.)
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Fasen BA, Kwee RM. Reply. AJNR Am J Neuroradiol 2020; 41:E75. [PMID: 32646944 DOI: 10.3174/ajnr.a6700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- B A Fasen
- Department of RadiologyZuyderland Medical CenterHeerlen/Sittard/Geleen, the Netherlands
| | - R M Kwee
- Department of RadiologyZuyderland Medical CenterHeerlen/Sittard/Geleen, the Netherlands
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Krdzalic J, de Jaegere TM, Kwee RM. Diagnostic performance of chest CT in screening patients with suspected COVID-19 infection in a Western population. Br J Radiol 2020; 93:20200643. [PMID: 32808545 PMCID: PMC7465869 DOI: 10.1259/bjr.20200643] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 06/30/2020] [Accepted: 07/14/2020] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE To investigate the diagnostic performance of chest CT in screening patients suspected of Coronavirus disease 2019 (COVID-19) in a Western population. METHODS Consecutive patients who underwent chest CT because of clinical suspicion of COVID-19 were included. CT scans were prospectively evaluated by frontline general radiologists who were on duty at the time when the CT scan was performed and retrospectively assessed by a chest radiologist in an independent and blinded manner. Real-time reverse transcriptase-polymerase chain reaction was used as reference standard. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. Sensitivity and specificity of the frontline general radiologists were compared to those of the chest radiologist using the McNemar test. RESULTS 56 patients were included. Sensitivity, specificity, PPV, and NPV for the frontline general radiologists were 89.3% [95% confidence interval (CI): 71.8%, 97.7%], 32.1% (95% CI: 15.9%, 52.4%), 56.8% (95% CI: 41.0%, 71.7%), and 75.0% (95% CI: 42.8%, 94.5%), respectively. Sensitivity, specificity, PPV, and NPV for the chest radiologist were 89.3% (95% CI: 71.8%, 97.7%), 75.0% (95% CI: 55.1%, 89.3%), 78.1% (95% CI: 60.0%, 90.7%), and 87.5% (95% CI: 67.6%, 97.3%), respectively. Sensitivity was not significantly different (p = 1.000), but specificity was significantly higher for the chest radiologist (p = 0.001). CONCLUSION Chest CT interpreted by frontline general radiologists achieves insufficient screening performance. Although specificity of a chest radiologist appears to be significantly higher, sensitivity did not improve. A negative chest CT result does not exclude COVID-19. ADVANCES IN KNOWLEDGE Our study shows that chest CT interpreted by frontline general radiologists achieves insufficient diagnostic performance to use it as an independent screening tool for COVID-19. Although specificity of a chest radiologist appears to be significantly higher, sensitivity is still insufficiently high.
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Affiliation(s)
- Jasenko Krdzalic
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Tom M.H. de Jaegere
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Robert M. Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
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Abstract
Background It is currently unclear whether the continuing medical education (CME) requirements for radiologists to keep up their certification are equal across Europe, which would be desirable for uniform cross-border quality of radiology and because of the fundamental principle of free movement of workers in the European Union. This study aimed to determine the maintenance of certification requirements for radiologists in different European countries. Methods National radiological societies of European countries and/or their delegates as listed on the European Society of Radiology website were contacted to inquire about the maintenance of licensure requirements for radiologists in their country. Data were analysed using descriptive statistics. Results Forty-six European countries were contacted. Response rate was 80%. Twenty-two of 36 responding countries (59%) reported mandatory requirements to maintain a radiologist’s license to practise. The median license period was 5 years (range 1–7). The median required number of CME points per year was 40 (range 8–58, interquartile range 30). Eight countries reported additional requirements, including practising clinical radiology, attending quality meeting/clinical audit, and attending additional courses (such as radiation safety training and advanced medical training course). Fifteen of 37 responding countries (41%) did not report mandatory requirements. Conclusions There is considerable heterogeneity across European countries regarding the maintenance of certification requirements for radiologists. More homogeneity is desired for uniform quality assurance and professional mobility of radiologists across Europe. The data from our overview may be used to establish a benchmark for national societies who issue maintenance of licensure requirements for radiologists.
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Thomas C Kwee
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.
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Kwee RM, Krdzalic J, Fasen BACM, de Jaegere TMH. CT Scanning in Suspected Stroke or Head Trauma: Is it Worth Going the Extra Mile and Including the Chest to Screen for COVID-19 Infection? AJNR Am J Neuroradiol 2020; 41:1165-1169. [PMID: 32439651 PMCID: PMC7357661 DOI: 10.3174/ajnr.a6607] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 04/29/2020] [Indexed: 01/08/2023]
Abstract
BACKGROUND AND PURPOSE Chest CT may be used as a tool for rapid coronavirus disease 2019 (COVID-19) detection. Our aim was to investigate the value of additional chest CT for detection of coronavirus 19 (COVID-19) in patients who undergo head CT for suspected stroke or head trauma in a COVID-19-endemic region. MATERIALS AND METHODS Our study included 27 patients (mean age, 74 years; range, 54-90 years; 20 men) who underwent head CT for suspected stroke (n = 21) or head trauma (n = 6), additional chest CT for COVID-19 detection, and real-time reverse transcriptase polymerase chain reaction testing in a COVID-19-endemic region. Sensitivity, specificity, and negative and positive predictive values of chest CT in detecting COVID-19 were calculated. RESULTS Final neurologic diagnoses were ischemic stroke (n = 11), brain contusion (n = 5), nontraumatic intracranial hemorrhage (n = 2), brain metastasis (n = 1), and no primary neurologic disorder (n = 8). Symptoms of possible COVID-19 infection (ie, fever, cough, and/or shortness of breath) were present in 20 of 27 (74%) patients. Seven of 27 patients (26%) had real-time reverse transcriptase polymerase chain reaction confirmed-COVID-19 infection. Chest CT results were 6 true-positives, 15 true-negatives, 5 false-positives, and 1 false-negative. Diagnostic performance values of chest CT were a sensitivity of 85.7%, specificity of 75.0%, negative predictive value of 93.8%, and positive predictive value of 54.6%. CONCLUSIONS The sensitivity of additional chest CT is fairly high. However, a negative result does not exclude COVID-19. The positive predictive value is poor. Correlation of chest CT results with epidemiologic history and clinical presentation, along with real-time reverse transcriptase polymerase chain reaction, is needed for confirmation.
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Affiliation(s)
- R M Kwee
- From the Department of Radiology (R.M.K., J.K., B.A.C.M.F., T.M.H.d.J.), Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
| | - J Krdzalic
- From the Department of Radiology (R.M.K., J.K., B.A.C.M.F., T.M.H.d.J.), Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
| | - B A C M Fasen
- From the Department of Radiology (R.M.K., J.K., B.A.C.M.F., T.M.H.d.J.), Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
| | - T M H de Jaegere
- From the Department of Radiology (R.M.K., J.K., B.A.C.M.F., T.M.H.d.J.), Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
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de Jaegere TMH, Krdzalic J, Fasen BACM, Kwee RM. Radiological Society of North America Chest CT Classification System for Reporting COVID-19 Pneumonia: Interobserver Variability and Correlation with Reverse-Transcription Polymerase Chain Reaction. Radiol Cardiothorac Imaging 2020; 2:e200213. [PMID: 33778589 PMCID: PMC7294823 DOI: 10.1148/ryct.2020200213] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 05/20/2020] [Accepted: 06/03/2020] [Indexed: 12/15/2022]
Abstract
PURPOSE To evaluate the Radiological Society of North America (RSNA) chest CT classification system for reporting coronavirus disease 2019 (COVID-19) pneumonia. MATERIALS AND METHODS Chest CT scans of consecutive patients suspected of having COVID-19 were retrospectively and independently evaluated by two chest radiologists and a 5th-year radiology resident using the RSNA chest CT classification system for reporting COVID-19 pneumonia. Interobserver agreement was evaluated by calculating weighted κ coefficients. The proportion of patients with real-time reverse-transcription polymerase chain reaction (RT-PCR)-confirmed COVID-19 in each of the four chest CT categories (typical, indeterminate, atypical, and negative features for COVID-19) was calculated. RESULTS In total, 96 patients (61 men; median age, 70 years [range, 29-94]) were included, of whom 45 had RT-PCR-confirmed COVID-19. The number of patients assigned to chest CT categories typical, indeterminate, atypical, and negative by the three readers ranged from 18 to 29, 26 to 43, 19 to 31, and 5 to 8, respectively. The κ coefficient among the chest radiologists was 0.663 (95% confidence interval [CI]: 0.565, 0.761). κ coefficients among the chest radiologists and the 5th-year radiology resident were 0.570 (95% CI: 0.443, 0.696) and 0.564 (95% CI: 0.451, 0.678), respectively. The proportion of patients with RT-PCR-confirmed COVID-19 in the chest CT categories typical, indeterminate, atypical, and negative for the three readers ranged from 76.9% to 96.6%, 51.2% to 64.1%, 2.8% to 5.3%, and 20% to 25%, respectively. CONCLUSION The RSNA chest CT classification system for reporting COVID-19 pneumonia has moderate-to-substantial interobserver agreement. However, the proportion of RT-PCR-confirmed COVID-19 cases in the categories atypical appearance and negative for pneumonia is nonnegligible.Supplemental material is available for this article.© RSNA, 2020.
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Affiliation(s)
- Tom M. H. de Jaegere
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, Henri Dunantstraat 5, 6419 PC Heerlen, the Netherlands
| | - Jasenko Krdzalic
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, Henri Dunantstraat 5, 6419 PC Heerlen, the Netherlands
| | - Bram A. C. M. Fasen
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, Henri Dunantstraat 5, 6419 PC Heerlen, the Netherlands
| | - Robert M. Kwee
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, Henri Dunantstraat 5, 6419 PC Heerlen, the Netherlands
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Fasen BACM, Heijboer RJJ, Hulsmans FJH, Kwee RM. CT Angiography in Evaluating Large-Vessel Occlusion in Acute Anterior Circulation Ischemic Stroke: Factors Associated with Diagnostic Error in Clinical Practice. AJNR Am J Neuroradiol 2020; 41:607-611. [PMID: 32165362 DOI: 10.3174/ajnr.a6469] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 01/27/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND PURPOSE It is currently not completely clear how well radiologists perform in evaluating large-vessel occlusion on CTA in acute ischemic stroke. The purpose of this study was to investigate potential factors associated with diagnostic error. MATERIALS AND METHODS Five hundred twenty consecutive patients with a clinical diagnosis of acute ischemic stroke (49.4% men; mean age, 72 years) who underwent CTA to evaluate large-vessel occlusion of the proximal anterior circulation were included. CTA scans were retrospectively reviewed by a consensus panel of 2 neuroradiologists. Logistic regression analysis was performed to investigate the association between several variables and missed large-vessel occlusion at the initial CTA interpretation. RESULTS The prevalence of large-vessel occlusion was 16% (84/520 patients); 20% (17/84) of large-vessel occlusions were missed at the initial CTA evaluation. In multivariate analysis, non-neuroradiologists were more likely to miss large-vessel occlusion compared with neuroradiologists (OR = 5.62; 95% CI, 1.06-29.85; P = .04), and occlusions of the M2 segment were more likely to be missed compared with occlusions of the distal internal carotid artery and/or M1 segment (OR = 5.69; 95% CI, 1.44-22.57; P = .01). There were no calcified emboli in initially correctly identified large-vessel occlusions. However, calcified emboli were present in 4 of 17 (24%) initially missed or misinterpreted large-vessel occlusions. CONCLUSIONS Several factors may have an association with missing a large-vessel occlusion on CTA, including the CTA interpreter (non-neuroradiologists versus neuroradiologists), large-vessel occlusion location (M2 segment versus the distal internal carotid artery and/or M1 segment), and large-vessel occlusion caused by calcified emboli. Awareness of these factors may improve the accuracy in interpreting CTA and eventually improve stroke outcome.
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Affiliation(s)
- B A C M Fasen
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
| | - R J J Heijboer
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
| | - F-J H Hulsmans
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands
| | - R M Kwee
- From the Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, the Netherlands.
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Abstract
Periprosthetic joint infection (PJI) is a severe complication, associated with substantial morbidity and high costs. PJI can occur in the early postoperative period but also many years after joint replacement. Timely and accurate diagnosis is important for treatment planning. Diagnosis of PJI can be a challenge, especially for chronic and low-grade infections. The diagnostic performance of fludeoxyglucose F 18 (18F-FDG) positron emission tomography (PET) in detecting PJI seems sufficiently high for routine clinical application and has additional value to conventional tests. Further research is needed to determine the exact place of 18F-FDG PET in the diagnostic work-up of suspected PJI.
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Thomas C Kwee
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO Box 30.001, Groningen 9700 RB, the Netherlands.
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