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Brady AP. Radiology AI in the real world: commentary on "Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA". Eur Radiol 2024; 34:5077-5079. [PMID: 39017689 DOI: 10.1007/s00330-023-10488-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 10/09/2023] [Accepted: 10/11/2023] [Indexed: 07/18/2024]
Affiliation(s)
- Adrian P Brady
- Radiology Department, University College, Cork, Ireland.
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Stirrat T, Martin R, Waller J, Dev A, Umair M. The clinical year dilemma: Examining the stressors and alternatives of pre-radiology training. Curr Probl Diagn Radiol 2024; 53:437-441. [PMID: 38735792 DOI: 10.1067/j.cpradiol.2024.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 05/02/2024] [Indexed: 05/14/2024]
Abstract
Since its reinstatement in 1997, the effectiveness of the clinical year prior to radiology residency has been a contentious topic concerning its role in cultivating skilled radiologists. This review evaluates the limitations of the one-year internship and explores alternative approaches. Utilizing databases such as PubMed, Google Scholar, and Scopus, this study identified pertinent articles that aligned with the inclusion criteria for post-graduate year 1 (PGY-1) training before radiology residency. Through a qualitative analysis of the literature, the review identifies prevalent themes concerning the drawbacks of the preliminary clinical year and potential alternative strategies. Many current trainees express skepticism about the value of the clinical year, noting a disconnect between its generalist nature and the specialized demands of subsequent radiology training. Interns felt uncertain about radiology exam indications and found radiology departments to be unapproachable, reflecting the need for alternative educational strategies to improve the preparedness and confidence of radiology interns as they transition from academic environments to clinical practice. The preparatory clinical year prior to entering radiology residency presents a mix of utility, along with alternative approaches to structuring this year. These alternatives include incorporating it into the undergraduate medical curriculum, restructuring or designing radiology-focused clinical years, and reevaluating the overall effectiveness of the clinical year in training.
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Affiliation(s)
| | | | | | - Arvind Dev
- Albert Einstein College of Medicine, USA
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Anneveldt KJ, Nijholt IM, Schutte JM, Hehenkamp WJK, Veersema S, Huirne JAF, Boomsma MF. Waste analysis and energy use estimation during MR-HIFU treatment: first steps towards calculating total environmental impact. Insights Imaging 2024; 15:83. [PMID: 38517607 PMCID: PMC10959896 DOI: 10.1186/s13244-024-01655-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 02/15/2024] [Indexed: 03/24/2024] Open
Abstract
OBJECTIVES To assess the environmental impact of the non-invasive Magnetic Resonance image-guided High-Intensity Focused Ultrasound (MR-HIFU) treatment of uterine fibroids, we aimed to perform a full Life Cycle Assessment (LCA). However, as a full LCA was not feasible at this time, we evaluated the CO2 (carbon dioxide) emission from the MRI scanner, MR-HIFU device, and the medication used, and analyzed solid waste produced during treatment. METHODS Our functional unit was one uterine fibroid MR-HIFU treatment. The moment the patient entered the day care-unit until she left, defined our boundaries of investigation. We retrospectively collected data from 25 treatments to assess the CO2 emission based on the energy used by the MRI scanner and MR-HIFU device and the amount and type of medication administered. Solid waste was prospectively collected from five treatments. RESULTS During an MR-HIFU treatment, the MRI scanner and MR-HIFU device produced 33.2 ± 8.7 kg of CO2 emission and medication administered 0.13 ± 0.04 kg. A uterine fibroid MR-HIFU treatment produced 1.2 kg (range 1.1-1.4) of solid waste. CONCLUSIONS Environmental impact should ideally be analyzed for all (new) medical treatments. By assessing part of the CO2 emission and solid waste produced, we have taken the first steps towards analyzing the total environmental impact of the MR-HIFU treatment of uterine fibroids. These data can contribute to future studies comparing the results of MR-HIFU LCAs with LCAs of other uterine fibroid therapies. CRITICAL RELEVANCE STATEMENT In addition to (cost-) effectiveness, the environmental impact of new treatments should be assessed. We took the first steps towards analyzing the total environmental impact of uterine fibroid MR-HIFU. KEY POINTS • Life Cycle Assessments (LCAs) should be performed for all (new) medical treatments. • We took the first steps towards analyzing the environmental impact of uterine fibroid MR-HIFU. • Energy used by the MRI scanner and MR-HIFU device corresponded to 33.2 ± 8.7 kg of CO2 emission.
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Affiliation(s)
- Kimberley J Anneveldt
- Department of Radiology, Isala Hospital, Dokter Van Heesweg 2, Zwolle, 8025 AB, The Netherlands.
- Department of Reproductive Medicine and Gynecology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.
| | - Ingrid M Nijholt
- Department of Radiology, Isala Hospital, Dokter Van Heesweg 2, Zwolle, 8025 AB, The Netherlands
- Image Sciences Institute, Division of Imaging & Oncology, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands
| | - Joke M Schutte
- Department of Gynecology, Isala Hospital, Dokter Van Heesweg 2, 8025 AB, Zwolle, The Netherlands
| | - Wouter J K Hehenkamp
- Department of Obstetrics and Gynecology, Amsterdam University Medical Centre, Location AMC, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands
| | - Sebastiaan Veersema
- Department of Reproductive Medicine and Gynecology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands
| | - Judith A F Huirne
- Department of Obstetrics and Gynecology and Amsterdam Research Institute Reproduction and Development, Amsterdam University Medical Centre, Location AMC, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands
| | - Martijn F Boomsma
- Department of Radiology, Isala Hospital, Dokter Van Heesweg 2, Zwolle, 8025 AB, The Netherlands
- Image Sciences Institute, Division of Imaging & Oncology, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands
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Alì M, Fantesini A, Morcella MT, Ibba S, D'Anna G, Fazzini D, Papa S. Adoption of AI in Oncological Imaging: Ethical, Regulatory, and Medical-Legal Challenges. Crit Rev Oncog 2024; 29:29-35. [PMID: 38505879 DOI: 10.1615/critrevoncog.2023050584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
Artificial Intelligence (AI) algorithms have shown great promise in oncological imaging, outperforming or matching radiologists in retrospective studies, signifying their potential for advanced screening capabilities. These AI tools offer valuable support to radiologists, assisting them in critical tasks such as prioritizing reporting, early cancer detection, and precise measurements, thereby bolstering clinical decision-making. With the healthcare landscape witnessing a surge in imaging requests and a decline in available radiologists, the integration of AI has become increasingly appealing. By streamlining workflow efficiency and enhancing patient care, AI presents a transformative solution to the challenges faced by oncological imaging practices. Nevertheless, successful AI integration necessitates navigating various ethical, regulatory, and medical-legal challenges. This review endeavors to provide a comprehensive overview of these obstacles, aiming to foster a responsible and effective implementation of AI in oncological imaging.
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Affiliation(s)
- Marco Alì
- Radiology Unit, CDI, Centro Diagnostico Italiano, Via Simone Saint Bon, 20, 20147 Milan, Italy
| | - Arianna Fantesini
- Suor Orsola Benincasa University, Corso Vittorio Emanuele 292, Naples, Italy; RE:LAB s.r.l., Via Tamburini, 5, 42122 Reggio Emilia, Italy
| | | | - Simona Ibba
- CDI Centro Diagnostico Italiano, Via Saint Bon 20, Milan, Italy
| | - Gennaro D'Anna
- Neuroimaging Unit, ASST Ovest Milanese, Via Papa Giovanni Paolo II, Legnano (Milan), Italy
| | - Deborah Fazzini
- CDI Centro Diagnostico Italiano, Via Saint Bon 20, Milan, Italy
| | - Sergio Papa
- Radiology Unit, CDI, Centro Diagnostico Italiano, Via Simone Saint Bon, 20, 20147 Milan, Italy
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Akudjedu TN. The post pandemic radiology job market: skills and competencies of relevance across subspecialities moving forward. Eur Radiol 2024; 34:705-707. [PMID: 37812299 DOI: 10.1007/s00330-023-10263-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 09/09/2023] [Accepted: 09/13/2023] [Indexed: 10/10/2023]
Affiliation(s)
- Theophilus N Akudjedu
- Institute of Medical Imaging & Visualisation (IMV), Department of Medical Science & Public Health, Faculty of Health & Social Sciences, Bournemouth University, 114 Gateway Building, St. Paul's Lane, Bournemouth, BH8 8GP, UK.
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Er AT, Sng LH. Overcoming ageism: Ensuring quality geriatric care during radiology examinations. J Med Imaging Radiat Sci 2023; 54:S32-S37. [PMID: 37741709 DOI: 10.1016/j.jmir.2023.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 08/19/2023] [Accepted: 08/31/2023] [Indexed: 09/25/2023]
Affiliation(s)
- Amanda Tw Er
- Department of Radiology, Changi General Hospital, Singapore; Department of Medical Imaging and Radiation Sciences, Monash University, Melbourne, VIC 3800, Australia.
| | - Li Hoon Sng
- Department of Radiology, Sengkang General Hospital, Singapore; Health and Social Sciences, Singapore Institute of Technology (SIT), Singapore
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Becker M. How to prepare for a bright future of radiology in Europe. Insights Imaging 2023; 14:168. [PMID: 37816908 PMCID: PMC10564684 DOI: 10.1186/s13244-023-01525-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 09/16/2023] [Indexed: 10/12/2023] Open
Abstract
Because artificial intelligence (AI)-powered algorithms allow automated image analysis in a growing number of diagnostic scenarios, some healthcare stakeholders have raised doubts about the future of the entire radiologic profession. Their view disregards not only the role of radiologists in the diagnostic service chain beyond reporting, but also the many multidisciplinary and patient-related consulting tasks for which radiologists are solicited. The time commitment for these non-reporting tasks is considerable but difficult to quantify and often impossible to fulfil considering the current mismatch between workload and workforce in many countries. Nonetheless, multidisciplinary, and patient-centred consulting activities could move up on radiologists' agendas as soon as AI-based tools can save time in daily routine. Although there are many reasons why AI will assist and not replace radiologists as imaging experts in the future, it is important to position the next generation of European radiologists in view of this expected trend. To ensure radiologists' personal professional recognition and fulfilment in multidisciplinary environments, the focus of training should go beyond diagnostic reporting, concentrating on clinical backgrounds, specific communication skills with referrers and patients, and integration of imaging findings with those of other disciplines. Close collaboration between the European Society of Radiology (ESR) and European national radiologic societies can help to achieve these goals. Although each adequate treatment begins with a correct diagnosis, many health politicians see radiologic procedures mainly as a cost factor. Radiologic research should, therefore, increasingly investigate the imaging impact on treatment and outcome rather than focusing mainly on technical improvements and diagnostic accuracy alone.Critical relevance statement Strategies are presented to prepare for a successful future of the radiologic profession in Europe, if AI-powered tools can alleviate the current reporting overload: engaging in multidisciplinary activities (clinical and integrative diagnostics), enhancing the value and recognition of radiologists' role through clinical expertise, focusing radiological research on the impact on diagnosis and outcome, and promoting patient-centred radiology by enhancing communication skills.Key points • AI-powered tools will not replace radiologists but hold promise to reduce the current reporting burden, enabling them to reinvest liberated time in multidisciplinary clinical and patient-related tasks.• The skills and resources for these tasks should be considered when recruiting and teaching the next generation of radiologists, when organising departments and planning staffing.• Communication skills will play an increasing role in both multidisciplinary activities and patient-centred radiology.• The value and importance of a correct and integrative diagnosis and the cost of an incorrect imaging diagnosis should be emphasised when discussing with non-medical stakeholders in healthcare.• The radiologic community in Europe should start now to prepare for a bright future of the profession for the benefit of patients and medical colleagues alike.
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Affiliation(s)
- Minerva Becker
- Unit of Head and Neck and Maxilofacial Radiology, Division of Radiology, Diagnostic Department, Geneva University Hospitals, University of Geneva, Rue Gabrielle Perret Gentil 4, Geneva 14, CH 1211, Switzerland.
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Zhang L, Wen X, Li JW, Jiang X, Yang XF, Li M. Diagnostic error and bias in the department of radiology: a pictorial essay. Insights Imaging 2023; 14:163. [PMID: 37782396 PMCID: PMC10545608 DOI: 10.1186/s13244-023-01521-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 09/03/2023] [Indexed: 10/03/2023] Open
Abstract
Diagnostic imaging is an essential and indispensable part of medical diagnosis and treatment, and diagnostic errors or biases are also common in the department of radiology, sometimes even having a severe impact on the diagnosis and treatment of patients. There are various reasons for diagnostic errors or biases in imaging. In this review, we analyze and summarize the causes of diagnostic imaging errors and biases based on practical cases. We propose solutions for dealing with diagnostic imaging errors and reducing their probability, thereby helping radiologists in their clinical practice.Critical relevance statement Diagnostic errors or bias contribute to most medical errors in the radiology department. Solutions for dealing with diagnostic imaging errors are pivotal for patients.Key points• Diagnostic errors or bias contribute to most medical errors in radiology department.• Solutions for dealing with diagnostic imaging errors are pivotal for patients.• This review summarizes the causes of diagnostic errors and offers solutions to them.
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Affiliation(s)
- Li Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xin Wen
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jian-Wei Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xu Jiang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xian-Feng Yang
- Department of Radiology, Drum Tower Hospital Affiliated to Medical School of Nanjing University, Nanjing, China
| | - Meng Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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Elmahdy M, Sebro R. Beyond the AJR: Comparison of Artificial Intelligence Candidate and Radiologists on Mock Examinations for the Fellow of Royal College of Radiology Part B. AJR Am J Roentgenol 2023; 221:555. [PMID: 36856302 DOI: 10.2214/ajr.23.29155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Affiliation(s)
- Mahmoud Elmahdy
- Department of Radiology, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Ronnie Sebro
- Department of Radiology, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224
- Center for Augmented Intelligence, Mayo Clinic, Jacksonville, FL
- Department of Orthopedic Surgery, Mayo Clinic, Jacksonville, FL
- Department of Biostatistics, Center for Quantitative Health Sciences, Jacksonville, FL
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Rupreht M, Ricci P, Prosch H, Adriaensen MEAPM. Subspecialisation in radiology in Europe, a survey of the accreditation council of imaging. Insights Imaging 2023; 14:159. [PMID: 37749296 PMCID: PMC10519886 DOI: 10.1186/s13244-023-01481-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 07/10/2023] [Indexed: 09/27/2023] Open
Abstract
BACKGROUND To provide an overview of existing Subspecialty Exams and Diplomas in Radiology and their endorsement as well as to providing an insight into the status of subspecialisation in radiology in Europe. The European Training Curriculum for Subspecialisation in Radiology mentions thirteen fields of subspecialisation within radiology. The websites of the corresponding subspecialty societies were checked for Subspecialty Exams and Diplomas. In addition, we performed a survey among European radiologists regarding subspecialisation in radiology. RESULTS Ten out of 13 European subspecialty societies offer a European subspecialty diploma. At least 7 out of the 10 European subspecialties societies in radiology offering a European subspecialty diploma obtained European Society of Radiology (ESR) endorsement. Two out of 10 obtained European Union of Medical Specialists-Council of European Specialist Medical Assessment endorsement. Survey among European radiologists who were ESR full members in March 2021 demonstrated that almost 20% of respondents indicated that they have no subspecialisation. Another 15% indicated that their area of subspecialisation is not recognised in their country of work. Eighty-four percent of respondents would like their area of subspecialisation in radiology to be officially recognised. According to the respondents, the major benefit of having their subspecialisation in radiology officially recognised is personal interest (45%). CONCLUSIONS There is a desire for more subspecialty recognition in radiology among European radiologists. Therefore, European subspecialty diplomas in radiology fulfil a need. Furthermore, there is room for further harmonisation and implementation on a European level regarding subspecialty training and recognition in radiology. CRITICAL RELEVANCE STATEMENT As there is a desire for more subspecialty recognition in radiology among European radiologists, European subspecialty diplomas in radiology fulfil a need and there is still room for further harmonisation and implementation on a European level regarding subspecialty training in radiology. KEY POINTS • Radiology has 13 subspecialties as per the European Training Curriculum for Subspecialisation. • Currently, 15 subspecialty diplomas are offered by European subspecialty societies in radiology • Members of the European Society of Radiology seek greater recognition of radiology subspecialties.
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Affiliation(s)
- Mitja Rupreht
- Radiology Department, UMC Maribor, Ljubljanska 5, 2000, Maribor, Slovenia.
- Medical Faculty, University of Maribor, Maribor, Slovenia.
- Department of Radiology and Nuclear Medicine, Maastricht UMC+, Maastricht, The Netherlands.
| | - Paolo Ricci
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Helmut Prosch
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Miraude E A P M Adriaensen
- Department of Medical Imaging, Zuyderland Medical Center, Sittard-Geleen, Heerlen, Brunssum, Kerkrade, The Netherlands
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"Role of radiology in a multidisciplinary approach to patient care": summary of the ESR International Forum 2022. Insights Imaging 2023; 14:26. [PMID: 36737564 PMCID: PMC9897611 DOI: 10.1186/s13244-023-01377-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 01/19/2023] [Indexed: 02/05/2023] Open
Abstract
At the ESR International Forum 2022, held at ECR 2022 (July 16 in Vienna, Austria) different views, initiatives, and ideas from participating societies were presented with regard to the position and role of radiology in the changing landscape of health care and its role as an integral part of multidisciplinary teams. While it is unanimously agreed that multidisciplinarity is a key aspect of modern patient care, it creates new challenges that need to be addressed.
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Opinion on "The role of radiologist in the changing world of healthcare: a White Paper of the European Society of Radiology (ESR)". Pol J Radiol 2023; 88:e10-e11. [PMID: 36819224 PMCID: PMC9907158 DOI: 10.5114/pjr.2023.124095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 07/25/2022] [Indexed: 01/13/2023] Open
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