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Thamba A, Gunderman RB. For Watson, Solving Cancer Wasn't So Elementary: Prospects for Artificial Intelligence in Radiology. Acad Radiol 2022; 29:312-314. [PMID: 34933804 DOI: 10.1016/j.acra.2021.11.019] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 11/22/2021] [Indexed: 11/16/2022]
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Gunderman RB. The Importance of Polycentricity: Why We Need Many Radiology ProFessional Organizations. Acad Radiol 2022; 29:166-167. [PMID: 34774408 DOI: 10.1016/j.acra.2021.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 10/05/2021] [Accepted: 10/05/2021] [Indexed: 11/26/2022]
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Qurashi AA, Alanazi RK, Alhazmi YM, Almohammadi AS, Alsharif WM, Alshamrani KM. Saudi Radiology Personnel's Perceptions of Artificial Intelligence Implementation: A Cross-Sectional Study. J Multidiscip Healthc 2021; 14:3225-3231. [PMID: 34848967 PMCID: PMC8627310 DOI: 10.2147/jmdh.s340786] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 10/29/2021] [Indexed: 12/15/2022] Open
Abstract
PURPOSE Artificial intelligence (AI) in radiology has been a subject of heated debate. The external perception is that algorithms and machines cannot offer better diagnosis than radiologists. Reluctance to implement AI maybe due to the opacity in how AI applications work and the challenging and lengthy validation process. In this study, Saudi radiology personnel's familiarity with AI applications and its usefulness in clinical practice were investigated. METHODS A cross-sectional study was conducted in Saudi Arabia among radiology personnel from March to April 2021. Radiology personnel nationwide were surveyed electronically using Google form. The questionnaire included 12-questions related to AI usefulness in clinical practice and participants' knowledge about AI and their acceptance level to learn and implement this technology into clinical practice. Participants' trust level was also measured; Kruskal-Wallis test was used to examine differences between groups. RESULTS A total of 224 respondents from various radiology-related occupations participated in the survey. The lowest trust level in AI applications was shown by radiologists (p = 0.033). Eighty-two percent of participants (n = 184) had never used AI in their departments. Most respondents (n = 160, 71.4%) reported lack of formal education regarding AI-based applications. Most participants (n = 214, 95.5%) showed strong interest in AI education and are willing to incorporate it into the clinical practice of radiology. Almost half of radiography students (22/46, 47.8%) believe that their job might be at risk due to AI application (p = 0.038). CONCLUSION Radiology personnel's knowledge of AI has a significant impact on their willingness to learn, use and adapt this technology in clinical practice. Participants demonstrated a positive attitude towards AI, showed a reasonable understanding and are highly motivated to learn and incorporate it into clinical practice. Some participants felt that their jobs were threatened by AI adaptation, but this belief might change with good training and education programmes.
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Interpretation of Thoracic Radiography Shows Large Discrepancies Depending on the Qualification of the Physician-Quantitative Evaluation of Interobserver Agreement in a Representative Emergency Department Scenario. Diagnostics (Basel) 2021; 11:diagnostics11101868. [PMID: 34679566 PMCID: PMC8534346 DOI: 10.3390/diagnostics11101868] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/22/2021] [Accepted: 10/06/2021] [Indexed: 01/31/2023] Open
Abstract
(1) Background: Chest radiography (CXR) is still a key diagnostic component in the emergency department (ED). Correct interpretation is essential since some pathologies require urgent treatment. This study quantifies potential discrepancies in CXR analysis between radiologists and non-radiology physicians in training with ED experience. (2) Methods: Nine differently qualified physicians (three board-certified radiologists [BCR], three radiology residents [RR], and three non-radiology residents involved in ED [NRR]) evaluated a series of 563 posterior-anterior CXR images by quantifying suspicion for four relevant pathologies: pleural effusion, pneumothorax, pneumonia, and pulmonary nodules. Reading results were noted separately for each hemithorax on a Likert scale (0–4; 0: no suspicion of pathology, 4: safe existence of pathology) adding up to a total of 40,536 reported pathology suspicions. Interrater reliability/correlation and Kruskal–Wallis tests were performed for statistical analysis. (3) Results: While interrater reliability was good among radiologists, major discrepancies between radiologists’ and non-radiologists’ reading results could be observed in all pathologies. Highest overall interrater agreement was found for pneumothorax detection and lowest agreement in raising suspicion for malignancy suspicious nodules. Pleural effusion and pneumonia were often suspected with indifferent choices (1–3). In terms of pneumothorax detection, all readers mainly decided for a clear option (0 or 4). Interrater reliability was usually higher when evaluating the right hemithorax (all pathologies except pneumothorax). (4) Conclusions: Quantified CXR interrater reliability analysis displays a general uncertainty and strongly depends on medical training. NRR can benefit from radiology reporting in terms of time efficiency and diagnostic accuracy. CXR evaluation of long-time trained ED specialists has not been tested.
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Ramírez-Galván YA, Cardona-Huerta S, Elizondo-Riojas G, Montemayor-Martínez A, Morales-Escajeda JI, Herrera-Peña CE. Value of a breast imaging unit in the detection of breast cancer in Mexico. Ecancermedicalscience 2021; 15:1272. [PMID: 34567257 PMCID: PMC8426018 DOI: 10.3332/ecancer.2021.1272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Indexed: 11/06/2022] Open
Abstract
The screening breast cancer detection rate in Mexico is low. The main objective of this study was to determine the breast cancer detection rate in a Mexican population that attended a breast imaging unit, in which the same radiologist comprehensively evaluated and interpreted breast imaging studies. A total of 5,429 mammograms performed between 2015 and 2016 were evaluated. Rates for biopsy indication, biopsies performed and positive biopsies for cancer were determined. The malignancy detection rate, after a comprehensive imaging evaluation in a breast imaging unit, was 24.3 per 1,000 mammograms. In symptomatic women was 52.9 per 1,000 mammograms, and in screening women was 11.1 per 1,000 mammograms. Breast imaging units in which a comprehensive imaging approach is performed represent an opportunity for low- and middle-income countries without population-based screening programs to achieve a more efficient detection of breast cancer, without generating a higher cost.
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Collado-Mesa F, Yepes MM, Arheart K. Breast Arterial Calcifications on Mammography: A Survey of Practicing Radiologists. JOURNAL OF BREAST IMAGING 2021; 3:438-447. [PMID: 38424788 DOI: 10.1093/jbi/wbab009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Indexed: 03/02/2024]
Abstract
OBJECTIVE To explore current practice patterns of reporting and issuing recommendations based on the presence of breast arterial calcifications on mammography and existing knowledge of their prevalence and associated factors. METHODS An online anonymous 19-question survey was distributed to 2583 practicing radiologists who were members of the Society of Breast Imaging. Questions covered demographics, breast imaging training, practice type, and knowledge regarding the epidemiology and potential clinical significance of breast arterial calcifications detected on mammograms. Differences between groups were calculated using the chi-square test or Fisher exact test. An α level of 0.05 was used to determine statistical significance. RESULTS Response rate was 22% (364/1662). The median age of respondents was 51 years (range: 29-76) and most were female (248/323, 77%). The most prevalent characteristics among respondents were as follows: 69% (223/323) had completed a breast imaging fellowship, 55% (179/323) were in private practice, 49% (158/323) practiced dedicated breast imaging, and 38% (124/323) had been in practice for more than 20 years. The prevalence of breast arterial calcifications was correctly estimated to be 1%-30% by 39% (125/323) of respondents. Most respondents correctly recognized the growing evidence of an association between breast arterial calcifications and coronary artery disease (275/323, 85%). However, only 15% (48/323) always reported the presence of these calcifications, and of those who report them at any time, only 0.7% (2/274) always issued recommendations. CONCLUSION There are differences in both knowledge of the epidemiology of breast arterial calcifications and practices around their reporting amongst breast radiologists.
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Bhatla N, Singhal S, Dhamija E, Mathur S, Natarajan J, Maheshwari A. Implications of the revised cervical cancer FIGO staging system. Indian J Med Res 2021; 154:273-283. [PMID: 35295012 PMCID: PMC9131753 DOI: 10.4103/ijmr.ijmr_4225_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
The 2018 revised International Federation of Gynaecology and Obstetrics (FIGO) staging of cervical cancer has brought about a paradigm shift by offering the option of adding imaging and pathology to clinical staging. This makes it applicable to all types of resource situations across geographies with implications for all stakeholders, including gynaecologists, gynaecologic oncologists, radiologists, pathologists and radiation and medical oncologists. The new staging classification has more granularity, with three sub-stages of stage IB and a new category of stage IIIC for all cases with lymph node (LN) involvement. The major limitations of clinical staging were inaccurate assessment of tumour size and inability to assess pelvic and para-aortic LNs with the limited investigations permitted by FIGO to change the stage. This resulted in understaging of stages IB-III, and overstaging of stage IIIB, which has been largely overcome by incorporating imaging findings. Although any imaging modality can be used, magnetic resonance imaging appears to be the best imaging modality for early-stage disease owing to its better soft-tissue resolution. However, the use of contrast-enhanced computed tomography or ultrasonography are also feasible options, depending on the availability and resources. But wherever pathological evaluation is possible, it supersedes clinical and radiological findings.
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Alelyani M, Alamri S, Alqahtani MS, Musa A, Almater H, Alqahtani N, Alshahrani F, Alelyani S. Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology. Healthcare (Basel) 2021; 9:healthcare9070834. [PMID: 34356212 PMCID: PMC8307220 DOI: 10.3390/healthcare9070834] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 06/13/2021] [Accepted: 06/26/2021] [Indexed: 12/18/2022] Open
Abstract
Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development of computer systems able to perform tasks normally requiring human intelligence. The aim of this study is to assess the radiology community’s attitude in Saudi Arabia toward the applications of AI. Methods: Data for this study were collected using electronic questionnaires in 2019 and 2020. The study included a total of 714 participants. Data analysis was performed using SPSS Statistics (version 25). Results: The majority of the participants (61.2%) had read or heard about the role of AI in radiology. We also found that radiologists had statistically different responses and tended to read more about AI compared to all other specialists. In addition, 82% of the participants thought that AI must be included in the curriculum of medical and allied health colleges, and 86% of the participants agreed that AI would be essential in the future. Even though human–machine interaction was considered to be one of the most important skills in the future, 89% of the participants thought that it would never replace radiologists. Conclusion: Because AI plays a vital role in radiology, it is important to ensure that radiologists and radiographers have at least a minimum understanding of the technology. Our finding shows an acceptable level of knowledge regarding AI technology and that AI applications should be included in the curriculum of the medical and health sciences colleges.
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Wang Y, Jin C, Yin Z, Wang H, Ji M, Dong M, Liang J. Visual experience modulates whole-brain connectivity dynamics: A resting-state fMRI study using the model of radiologists. Hum Brain Mapp 2021; 42:4538-4554. [PMID: 34156138 PMCID: PMC8410580 DOI: 10.1002/hbm.25563] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 04/18/2021] [Accepted: 06/02/2021] [Indexed: 01/01/2023] Open
Abstract
Visual expertise refers to proficiency in visual recognition. It is attributed to accumulated visual experience in a specific domain and manifests in widespread neural activities that extend well beyond the visual cortex to multiple high‐level brain areas. An extensive body of studies has centered on the neural mechanisms underlying a distinctive domain of visual expertise, while few studies elucidated how visual experience modulates resting‐state whole‐brain connectivity dynamics. The current study bridged this gap by modeling the subtle alterations in interregional spontaneous connectivity patterns with a group of superior radiological interns. Functional connectivity analysis was based on functional brain segmentation, which was derived from a data‐driven clustering approach to discriminate subtle changes in connectivity dynamics. Our results showed there was radiographic visual experience accompanied with integration within brain circuits supporting visual processing and decision making, integration across brain circuits supporting high‐order functions, and segregation between high‐order and low‐order brain functions. Also, most of these alterations were significantly correlated with individual nodule identification performance. Our results implied that visual expertise is a controlled, interactive process that develops from reciprocal interactions between the visual system and multiple top‐down factors, including semantic knowledge, top‐down attentional control, and task relevance, which may enhance participants' local brain functional integration to promote their acquisition of specific visual information and modulate the activity of some regions for lower‐order visual feature processing to filter out nonrelevant visual details. The current findings may provide new ideas for understanding the central mechanism underlying the formation of visual expertise.
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Ng D, Du H, Yao MMS, Kosik RO, Chan WP, Feng M. Today's radiologists meet tomorrow's AI: the promises, pitfalls, and unbridled potential. Quant Imaging Med Surg 2021; 11:2775-2779. [PMID: 34079741 DOI: 10.21037/qims-20-1083] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Advances in information technology have improved radiologists' abilities to perform an increasing variety of targeted diagnostic exams. However, due to a growing demand for imaging from an aging population, the number of exams could soon exceed the number of radiologists available to read them. However, artificial intelligence has recently resounding success in several case studies involving the interpretation of radiologic exams. As such, the integration of AI with standard diagnostic imaging practices to revolutionize medical care has been proposed, with the ultimate goal being the replacement of human radiologists with AI 'radiologists'. However, the complexity of medical tasks is often underestimated, and many proponents are oblivious to the limitations of AI algorithms. In this paper, we review the hype surrounding AI in medical imaging and the changing opinions over the years, ultimately describing AI's shortcomings. Nonetheless, we believe that AI has the potential to assist radiologists. Therefore, we discuss ways AI can increase a radiologist's efficiency by integrating it into the standard workflow.
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Gunderman LD, Gunderman RB. Osteopathic Medicine: What Radiologists Need to Know. Acad Radiol 2021; 28:745-746. [PMID: 33632618 DOI: 10.1016/j.acra.2021.01.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 01/13/2021] [Accepted: 01/14/2021] [Indexed: 10/22/2022]
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Lee SY, Sharma N, Kagoma YK, Lum PA. Which Aspects of the CanMEDS Competencies are Most Valued in Radiologists? Perspectives of Trainees From Other Specialties. Can Assoc Radiol J 2021; 73:30-37. [PMID: 33909490 DOI: 10.1177/08465371211008649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
PURPOSE Radiologists work primarily in collaboration with other healthcare professionals. As such, these stakeholder perspectives are of value to the development and assessment of educational outcomes during the transition to competency-based medical education. Our aim in this study was to determine which aspects of the Royal College CanMEDS competencies for diagnostic radiology are considered most important by future referring physicians. METHODS Institutional ethics approval was obtained. After pilot testing, an anonymous online survey was sent to all residents and clinical fellows at our university. Open-ended questions asked respondents to describe the aspects of radiologist service they felt were most important. Thematic analysis of the free-text responses was performed using a grounded theory approach. The resulting themes were mapped to the 2015 CanMEDS Key Competencies. RESULTS 115 completed surveys were received from residents and fellows from essentially all specialties and years of training (out of 928 invited). Major themes were 1) timeliness and accessibility of service, 2) quality of reporting, and 3) acting as a valued team member. The competencies identified as important by resident physicians were largely consistent with the CanMEDS framework, although not all key competencies were covered in the responses. CONCLUSIONS This study illustrates how CanMEDS roles and competencies may be exemplified in a concrete and specialty-specific manner from the perspective of key stakeholders. Our survey results provide further insight into specific objectives for teaching and assessing these competencies in radiology residency training, with the ultimate goal of improving patient care through strengthened communication and working relationships.
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Doctor JR, Chandan P, Shetty N, Gala K, Ranganathan P. Ultrasound-guided assessment of gastric residual volume in patients receiving three types of clear fluids: A randomised blinded study. Indian J Anaesth 2021; 65:289-294. [PMID: 34103742 PMCID: PMC8174594 DOI: 10.4103/ija.ija_1291_20] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 10/23/2020] [Accepted: 01/05/2021] [Indexed: 01/01/2023] Open
Abstract
Background and Aims: Ultrasonography (USG) is used to evaluate gastric residual volume (GRV); however, this technique may have inter-assessor variability. This study aimed to measure GRV in three groups of fasted patients 2 h after they received 200 mL of water, clear apple juice or apple-flavoured oral rehydration solution (ORS) and to determine inter-assessor reliability of USG-guided GRV measurement. Methods: We randomised 90 adult patients planned for elective cancer surgery, with no risk factors for delayed gastric emptying, to receive 200 mL of water, clear apple juice or apple-flavoured ORS after overnight fasting. Two hours later, two blinded assessors (a trained anaesthesiologist and a radiologist) independently determined USG-guided GRV. The primary outcome was GRV measured by the radiologist. The secondary outcome was inter-assessor correlation and agreement in GRV measurements. Results: There was no statistically significant difference in median GRV between groups (apple-flavoured ORS 74.8 mL, apple juice 63.7 mL, and water 62.1 mL, P = 0.11). We found poor correlation between measurements of radiologist and anaesthesiologist (Intra-class correlation coefficient 0.3, 95% confidence intervals 0.09 to 0.48, P value 0.002). The average (mean) bias was 5.4 mL (standard deviation 42.3 mL) and the 95% limits of agreement were -79.2 ml to +90 ml. Conclusion: Patients receiving 200 mL of water, clear apple juice or apple-flavoured ORS had comparable GRV after 2 h. There was poor correlation and agreement between GRV measurements of different assessors, indicating that more training may be required for anaesthesiologists to attain proficiency in the quantitative assessment of GRV.
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Bollard KA, Valsenti G, Healey D, Murdoch J. The adequacy of fluoroscopic upper gastrointestinal studies for suspected intestinal volvulus in a tertiary care centre vs. secondary centres: A regional multicentre study. J Med Imaging Radiat Oncol 2021; 65:293-300. [PMID: 33634557 DOI: 10.1111/1754-9485.13156] [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: 11/09/2020] [Revised: 01/11/2021] [Accepted: 01/21/2021] [Indexed: 10/22/2022]
Abstract
INTRODUCTION Early diagnosis and treatment of intestinal volvulus are important to reduce morbidity. A fluoroscopic upper GI study is the gold standard for diagnosis and may be performed in a secondary or tertiary care centre prior to surgery. It is important the reporting radiologist is confident in the findings. We aim to assess whether there is any difference in confidence and study quality between paediatric and general radiologists who work in secondary or tertiary care centres. METHODS Retrospective review of initial radiology reports and blinded review of the study images by paediatric radiologists. RESULTS A total of 277 children underwent a fluoroscopic study for intestinal volvulus over a four-year period. The majority were performed at a tertiary care centre, by paediatric radiologists. The confidence of initial reporting was higher in paediatric than general radiologists despite whether they worked in a secondary or tertiary care centre (P-value < 0.001). On retrospective review, studies performed by paediatric radiologists were rated as having a higher confidence in identifying the location of the duodenojejunal flexure. General radiologists tended to have a slightly higher rate of repeat studies but still low at 2.2%. Despite this, there was no significant difference in the diagnosis rates and secondary centre general radiologists excluded malrotation in 62% of studies likely reducing transfer rates. CONCLUSION Confidence in initial reporting and on review of the duodenojejunal flexure location in suspected intestinal volvulus is higher in paediatric radiologists compared with general radiologists, although diagnosis rates are no different.
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The Need for an Ecologic Understanding of Radiology Practice. AJR Am J Roentgenol 2021; 216:844-846. [PMID: 33474988 DOI: 10.2214/ajr.20.22919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE. Many models have been used to understand radiology practice, including economics, engineering, and information technology. Each has advantages, but each also has drawbacks, failing to illuminate important aspects of radiologists' work. A model that offers additional insights is ecology. CONCLUSION. By looking at radiology practice through the ecologic concept of symbiosis, radiologists can gain new understanding and appreciation of aspects of their work that can render it more fruitful and sustainable.
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Elsayes KM, Marks RM, Kamel S, Towbin AJ, Kielar AZ, Patel P, Chernyak V, Fowler KJ, Nassar S, Soliman MA, Kamaya A, Mendiratta-Lala M, Borhani AA, Fetzer DT, Fung AW, Do RKG, Bashir MR, Lee J, Consul N, Olmsted R, Kambadakone A, Taouli B, Furlan A, Sirlin CB, Hsieh P. Online Liver Imaging Course; Pivoting to Transform Radiology Education During the SARS-CoV-2 Pandemic. Acad Radiol 2021; 28:119-127. [PMID: 33109449 PMCID: PMC7538097 DOI: 10.1016/j.acra.2020.10.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 10/01/2020] [Accepted: 10/01/2020] [Indexed: 10/28/2022]
Abstract
PURPOSE The SARS-CoV-2 pandemic has drastically disrupted radiology in-person education. The purpose of this study was to assess the implementation of a virtual teaching method using available technology and its role in the continuity of education of practicing radiologists and trainees during the pandemic. METHODS The authors created the Online Liver Imaging Course (OLIC) that comprised 28 online comprehensive lectures delivered in real-time and on-demand over six weeks. Radiologists and radiology trainees were asked to register to attend the live sessions. At the end of the course, we conducted a 46-question survey among registrants addressing their training level, perception of virtual conferencing, and evaluation of the course content. RESULTS One thousand four hundred and thirty four radiologists and trainees completed interest sign up forms before the start of the course with the first webinar having the highest number of live attendees (343 people). On average, there were 89 live participants per session and 750 YouTube views per recording (as of July 9, 2020). After the end of the course, 487 attendees from 37 countries responded to the postcourse survey for an overall response rate of (33%). Approximately (63%) of participants were practicing radiologists while (37%) were either fellows or residents and rarely medical students. The overwhelming majority (97%) found the OLIC webinar series to be beneficial. Essentially all attendees felt that the webinar sessions met (43%) or exceeded (57%) their expectations. When asked about their perception of virtual conferences after attending OLIC lectures, almost all attendees (99%) enjoyed the virtual conference with a majority (61%) of the respondents who enjoyed the virtual format more than in-person conferences, while (38%) enjoyed the webinar format but preferred in-person conferences. When asked about the willingness to attend virtual webinars in the future, (84%) said that they would attend future virtual conferences even if in-person conferences resume while (15%) were unsure. CONCLUSION The success of the OLIC, attributed to many factors, indicates that videoconferencing technology provides an inexpensive alternative to in-person radiology conferences. The positive responses to our postcourse survey suggest that virtual education will remain to stay. Educational institutions and scientific societies should foster such models.
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Nijiati M, Zhang Z, Abulizi A, Miao H, Tuluhong A, Quan S, Guo L, Xu T, Zou X. Deep learning assistance for tuberculosis diagnosis with chest radiography in low-resource settings. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2021; 29:785-796. [PMID: 34219703 DOI: 10.3233/xst-210894] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Tuberculosis (TB) is a major health issue with high mortality rates worldwide. Recently, tremendous researches of artificial intelligence (AI) have been conducted targeting at TB to reduce the diagnostic burden. However, most researches are conducted in the developed urban areas. The feasibility of applying AI in low-resource settings remains unexplored. In this study, we apply an automated detection (AI) system to screen a large population in an underdeveloped area and evaluate feasibility and contribution of applying AI to help local radiologists detect and diagnose TB using chest X-ray (CXR) images. First, we divide image data into one training dataset including 2627 TB-positive cases and 7375 TB-negative cases and one testing dataset containing 276 TB-positive cases and 619 TB-negative cases, respectively. Next, in building AI system, the experiment includes image labeling and preprocessing, model training and testing. A segmentation model named TB-UNet is also built to detect diseased regions, which uses ResNeXt as the encoder of U-Net. We use AI-generated confidence score to predict the likelihood of each testing case being TB-positive. Then, we conduct two experiments to compare results between the AI system and radiologists with and without AI assistance. Study results show that AI system yields TB detection accuracy of 85%, which is much higher than detection accuracy of radiologists (62%) without AI assistance. In addition, with AI assistance, the TB diagnostic sensitivity of local radiologists is improved by 11.8%. Therefore, this study demonstrates that AI has great potential to help detection, prevention, and control of TB in low-resource settings, particularly in areas with more scant doctors and higher rates of the infected population.
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Balancing Narrow and Broad Perspectives in Radiology. AJR Am J Roentgenol 2020; 215:1549-1550. [PMID: 33052733 DOI: 10.2214/ajr.19.22659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE. The purpose of this article is to help radiologists achieve a balance between narrow and broad perspectives in their work. CONCLUSION. There are two fundamentally different perspectives from which radiologists can work: narrow and broad. Both have important roles, yet if the balance between these perspectives shifts excessively in one direction or the other, problems can arise. By understanding the respective strengths and weaknesses of each perspective, radiologists can achieve a more appropriate balance between them.
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PI-RADS Versions 2 and 2.1: Interobserver Agreement and Diagnostic Performance in Peripheral and Transition Zone Lesions Among Six Radiologists. AJR Am J Roentgenol 2020; 217:141-151. [PMID: 32903060 DOI: 10.2214/ajr.20.24199] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND. PI-RADS version 2.1 (v2.1) modifications primarily address transition zone (TZ) interpretation. The revisions also impact peripheral zone (PZ) interpretation, which has received less attention. OBJECTIVE. The purpose of this study was to compare interobserver agreement of PI-RADS version 2 (v2) and v2.1 in the prostate PZ and TZ and perform a pilot comparison of their diagnostic performance in the two zones. METHODS. Six radiologists with varying experience retrospectively assessed 80 prostate lesions (40 PZ, 40 TZ) on MRI in separate sessions for PI-RADS v2 and v2.1. Interobserver agreement was assessed using Conger kappa (κ). For 50 lesions with pathology data, average AUC for detecting clinically significant cancer was compared between versions using multireader multicase statistical methods. Error variance and covariance results informed post hoc power analysis. RESULTS. Interobserver agreement for PI-RADS category 4 or greater was higher for version 2.1 (κ = 0.64) than version 2 (κ = 0.51) in the PZ, but similar for version 2 (κ = 0.64) and version 2.1 (κ = 0.60) in the TZ. The PI-RADS v2.1 DWI descriptor "linear/wedge-shaped" had higher agreement than its predecessor version 2 descriptor "indistinct hypointense" (κ = 0.52 vs κ = 0.18) and yielded 14 more true-negative versus five more false-negative interpretations. The ADC signal descriptor "markedly hypointense," for which only version 2.1 provides a specific definition, had lower agreement in version 2.1 (κ = 0.26) than version 2 (κ = 0.52). Modified TZ T2-weighted category 2 descriptors in version 2.1 had fair agreement (κ = 0.21), and agreement for PI-RADS category 2 in the TZ was lower in version 2.1 (κ = 0.31) than version 2 (κ = 0.57). DWI upgraded a TZ lesion category from 2 to 3 in four patients, detecting two additional cancers. Average AUC was not different between versions 2 and 2.1 for the PZ (AUC, 0.81 vs 0.85; p = .24) or the TZ (AUC, 0.69 vs 0.69; p = .94), though among experienced readers AUC was higher for version 2.1 than version 2 for the PZ (0.91 vs 0.82; p = .001). Overall performance comparison had sufficient power (0.8) to detect a 0.085 difference in AUC. CONCLUSION. Interobserver agreement improved using PI-RADS v2.1 in the PZ but not the TZ. Diagnostic performance improved using version 2.1 only in the PZ for experienced readers. Specific version 2.1 modifications yielded mixed results. CLINICAL IMPACT. The impact of PI-RADS v2.1 in the PZ is notable given the emphasis on version 2.1 TZ modifications. The findings suggest areas in which additional modification could further improve interobserver agreement and performance.
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Gemici AA, Bayram E, Hocaoglu E, Inci E. Comparison of breast density assessments according to BI-RADS 4th and 5th editions and experience level. Acta Radiol Open 2020; 9:2058460120937381. [PMID: 32733694 PMCID: PMC7372628 DOI: 10.1177/2058460120937381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Accepted: 05/25/2020] [Indexed: 11/15/2022] Open
Abstract
Background Breast density is an important variable that can change the sensitivity of mammography. It can be analyzed with using the 4th and 5th editions of the Breast Imaging and Reporting Data System (BI-RADS) recommendations from the American College of Radiology (ACR). Purpose To define the intra- and inter-reader agreement levels of breast density assignments performed by readers with different experience levels using two versions of BI-RADS. Material and Methods The breast density assessments of 330 women were conducted by two readers with different levels of experience (one breast radiologist and one resident). Each reader independently defined the breast density four times-twice using the 4th edition and twice using the 5th edition. Assessments were analyzed on four- and two-category scales. Results The intra-reader agreement of the breast radiologist for the 4th and 5th editions of BI-RADS was almost perfect (k = 0.90 and k = 0.87, respectively.) The resident had similar results (k = 0.88 and k = 0.87, respectively). The agreement between the breast radiologist and resident for the 4th and 5th edition of BI-RADS was substantial (k = 0.70 and k = 0.63, respectively). There was a statistically significant difference with the two-category scale analysis between the dense and non-dense for both readers and versions of BI-RADS (McNemar's test, P < 0.001). Conclusion Although there were high intra- and inter-reader agreement levels when using both versions, the percentage of women having dense breasts increased when using the 5th edition, and the difference was statistically significant. There were no differences found with regard to the readers' level of experience in all analyses.
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Javed H, Imran M, Nazir QUA, Fatima I, Humayun A. Increased trend of unnecessary use of radiological diagnostic modalities in Pakistan: radiologists perspective. Int J Qual Health Care 2020; 31:712-716. [PMID: 30476150 DOI: 10.1093/intqhc/mzy234] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 10/13/2018] [Accepted: 10/29/2018] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Over the past few years, a significant overuse of radiological investigations influenced the quality and cost of healthcare of the country as it may lead to non-compliance of the patient due to non-affordability and also may harm the patient in terms of radiation hazards. Pakistan, being a low-income, resource-constraint country, is facing financial impact on families as well as health system due to multiple reasons. OBJECTIVES The purpose of study is to identify reasons of unnecessary use of radiological diagnostic modalities in Pakistani hospitals as perceived by radiologists. METHODS A cross-sectional study was conducted on a total of all 105 radiologists, having at least 1 year experience of working in radiology, working in five tertiary care hospitals in Lahore. A self-constructed, self-administered, pretested 5-point Likert scale opinion-based questionnaire was administered after taking informed consent. It includes questions about excessive radiological use that may be attributed to the physicians, investigations, patients and other non-categorized causes. Results were analyzed using SPSS version 23. RESULTS Since the assessment forms were handed over and collected from the radiologists in person, the response rate was 100%. Of a total of 105 respondents, 78 (74.28%) respondentsagreed that there is an actual increase, 25 (23.80%) respondents disagreed and 2 (1.90%) respondents were unsure. Most important reasons for increased usage of radiological investigations are 'need of accuracy of diagnosis' (P = 0.009), 'trend of physicians to repeat tests in order to confirm preset diagnoses' (P-value = 0.03), 'lack of knowledge about proper usage of radiological advances' (P-value = 0.005) and 'lack of proper clinical examination' (P-value = 0.04). CONCLUSION Unnecessary use of radiological investigations is actually there as perceived by radiologists, which is attributed to inadequate knowledge, attitude and training of physicians to refer patients to radiological resources. This research can be a stepping stone for future researchers as it can be used for elaborating these causes individually and finding ways as to how each of these causes can be controlled and minimized to bring about a decline in excessive usage of these modalities for the betterment of the patients.
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Wang J, Zhu Y, Song Y, Xu G, Yu H, Wang T, Zhang B. Determining whether surgeons perform thyroid fine-needle aspiration as well as radiologists: an analysis of the adequacy and efficiency of ultrasound-guided fine-needle aspiration performed by newly trained head and neck surgeons and radiologists. Gland Surg 2020; 9:711-720. [PMID: 32775261 DOI: 10.21037/gs.2020.03.34] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Ultrasound-guided fine-needle aspiration (FNA) cytology is a crucial diagnostic technique used to assess thyroid nodules. In the past, ultrasound-guided FNA was performed mainly by radiologists. However, many surgeons are increasingly being trained for this procedure now. In this study, we aimed to compare the adequacy and efficiency of ultrasound-guided FNA performed by newly trained head and neck surgeons with experienced radiologists in a single institution. We also assessed the malignancy rates in nondiagnostic nodules and the differences between benign and malignant nodules. Methods This is a retrospective study. The data from patients who underwent ultrasound-guided FNA performed by surgeons or radiologists in two consecutive years were collected. Medical records, cytology results, and surgical pathology results were analyzed. Results During the study period, a total of 2,405 ultrasound-guided FNAs were performed on 2,163 patients. The head and neck surgeons and radiologists performed 1,132 and 1,273 ultrasound-guided FNA procedures, respectively. The nondiagnostic rate was 14.49% for surgeons and 15.40% for radiologists (P=0.533). There were no differences in patient age, gender, nodule size, and other sonographic characteristics between the groups of patients who were treated by radiologists versus surgeons. The median waiting time from biopsy appointment to performing ultrasound-guided FNA was 0 days for head and neck surgeons, and 6 days for radiologists (P<0.001). Of the 40 patients who had a repeat FNA or surgery, 19 (47.50%) had a malignancy. Preoperative information about age, gender, operator, and characteristics of nodules did not predict the outcome of nodules with Bethesda category I. Conclusions The adequacy of ultrasound-guided FNAs performed by head and neck surgeons is similar to that of skilled radiologists, while surgeons are more efficient than radiologists. Nondiagnostic FNA reports should not be considered benign, and repeat FNA or selective surgical treatment is recommended.
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Abstract
OBJECTIVE. Safety and creativity are important but are not entirely convergent medical goals: Physicians are responsible to avoid harm, but progress in medicine requires creativity and risk taking. To strike the appropriate balance between the two, radiologists need to understand potential points of tension between them, ensuring that neither completely overrides the other. CONCLUSION. For medical discovery and innovation to thrive in the future, we need to foster a culture that prizes habits of thinking outside the box, posing novel questions, and taking risks. Caution and safety are important but so too are courage and imagination. If our understanding is ever to reach a higher level, we must be willing to let go of the rung to which we are clinging.
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Vorster ID, Beningfield S. Evaluation of self-reported confidence amongst radiology staff in initiating basic life support across hospitals in the Cape Town Metropole West region. SA J Radiol 2019; 23:1720. [PMID: 31824739 PMCID: PMC6890570 DOI: 10.4102/sajr.v23i1.1720] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 08/05/2019] [Indexed: 11/01/2022] Open
Abstract
Background The immediate response to cardiac arrest is regarded as the most time-critical intervention. First responders for cardiac arrests in imaging departments are often radiology staff. The study aim was to determine radiology staff members' confidence in initiating basic life support. Objectives The objectives of this study included determining the general confidence levels regarding identifying cardiac arrest and initiation of basic life support (BLS) amongst Radiology staff within the studied sites, as well as to identify potential areas of uncertainty. Another objective included identifying what would contribute to increasing levels of confidence and competence in identifying cardiac arrest and initiating BLS. Method A multi-centre cross-sectional survey was conducted using peer-validated, anonymous questionnaires. Questionnaires were distributed to radiology staff working in public sector hospitals within the Cape Town Metropole West. Due to the limited subject pool, a convenience sample was collected. Data were therefore statistically analysed using only summary statistics (mean, standard deviation, proportions, and so on), and detailed comparisons were not made. Results We disseminated 200 questionnaires, and 74 were completed (37%). There were no incomplete questionnaires or exclusions from the final sample. Using a 10-point Likert scale, the mean ability to recognise cardiac arrest was 6.45 (SD ± 2.7), securing an airway 4.86 (SD ± 2.9), and providing rescue breaths and initiating cardiac compressions 6.14 (SD ± 2.9). Only two (2.7%) of the participants had completed a basic life support course in the past year; 11 (14.8%) had never completed any basic life support course and 28 (37.8%) had never completed any life support or critical care course. Radiologists, radiology trainees and nurses had the greatest confidence in providing rescue breaths and initiating cardiac compressions from all the groups. Conclusion The study demonstrated a substantial lack of confidence in providing basic life support in the participating hospital imaging departments' staff. The participants indicated that regular training and improved support systems would increase confidence levels and improve skills.
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Dementia Care in Radiology. AJR Am J Roentgenol 2019; 214:34-36. [PMID: 31691614 DOI: 10.2214/ajr.19.21506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE. Much of the radiology literature on dementia naturally focuses on the use of imaging for diagnosis. However, dementia presents other important challenges for radiology. One of the most important stems from the projected large increase in the number of patients with dementia who will be presenting for care in radiology departments. CONCLUSION. It is important, and increasingly so, that patient-facing radiology personnel understand dementia and the special needs of patients with dementia and their caregivers.
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