Research Article
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Evaluation of thoracic computed tomography interpretation by emergency medicine residents with regards to accuracy and confidence

Year 2023, , 698 - 703, 01.10.2023
https://doi.org/10.31362/patd.1353037

Abstract

Purpose: Interpration of thoracic computed tomography (CT) scans by emergency department (ED) physicians is important especially in crowded EDs. The aim of this study is to assess the proficiency and confidence of ED physicians with varying levels of experience in interpreting thoracic CT.
Materials and methods: A total of 25 pathological and 5 normal thoracic CT images were interpreted by 32 ED residents, initially without clinical information, then with. After each session the participants were asked to score their confidence on a scale of 1 to 10. At the end of the study, the results were compared between seniors and junior residents.
Results: The median age of the participants was 29 years (24–34). Twenty (62.5%) of the residents were junior residents. There were no significant differences between the two resident groups in terms of accurate diagnosis rates, regardless of the clinical information (p=0.307 and p=0.061). The physicians’ certainty of their own diagnosis mostly does not seem to be statistically different in these diagnoses. The seniors are more confident in the diagnosis of the CT scans they evaluated without clinical information (p=0.004), while when the clinical information is added, the confidence of the junior physicians also increase (p=0.087).
Conclusion: Both senior and junior emergency medical residents are able to interpret thoracic CT images with a high degree of accuracy, both for COVID-19 and for other emergency diagnoses. Senior physicians could confidently diagnose CT images solely by visual inspection, whereas junior residents display similar confidence when clinical information is available.

Ethical Statement

Permission was obtained from Pamukkale University Non-Interventional Clinical Research Ethics Committee for the study (14.04.2020, 07).

Supporting Institution

None

Thanks

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References

  • 1. Seidel J, Bissell MB, Vatturi S, Hartery A. Retrospective analysis of emergency computed tomography imaging utilization at an academic centre: an analysis of clinical indications and outcomes. Can Assoc Radiol J 2019;70:13-22. https://doi.org/10.1016/j.carj.2018.10.004
  • 2. Le Bel J, Pelaccia T, Ray P, et al. Impact of emergency physician experience on decision-making in patients with suspected community-acquired pneumonia and undergoing systematic thoracic CT scan. Emerg Med J 2019;36:485-492. https://doi.org/10.1136/emermed-2018-207842
  • 3. Chiu IM, Lin YR, Syue YJ, Kung CT, Wu KH, Li CJ. The influence of crowding on clinical practice in the emergency department. Am J Emerg Med 2018;36:56-60. https://doi.org/10.1016/j.ajem.2017.07.011
  • 4. Ahmed N, Guo A, Elhassan H, Qaiser R, Chung R. Residents managed trauma adequately using their own radiological interpretation as compared with "nighthawk" radiologists. J Trauma 2006;61:555-557. https://doi.org/10.1097/01.ta.0000236574.61357.e3
  • 5. Blazar E, Mitchell D, Townzen JD. Radiology training in emergency medicine residency as a predictor of confidence in an attending. Cureus 2020;12:e6615. https://doi.org/10.7759/cureus.6615
  • 6. Karakoyun OF, Kozaci N, Avci M, Uzunay H. Accuracy of emergency physicians' interpretation of computed tomography for urgent-emergent diagnoses in nontraumatic cases. Turk J Emerg Med 2022;22:89-95. https://doi.org/10.4103/2452-2473.342804
  • 7. Al Reesi A, Stiell IG, Al Zadjali N, Cwinn AA. Comparison of CT head interpretation between emergency physicians and neuroradiologists. Eur J Emerg Med 2010;17:280-282. https://doi.org/10.1097/MEJ.0b013e32833483ed
  • 8. Sähn MJ, Yüksel C, Keil S, et al. Accuracy of chest CT for differentiating COVID-19 from COVID-19 mimics. Rofo 2021;193:1081-1091. https://doi.org/10.1055/a-1388-7950

Acil tıp araştırma görevlilerinin, toraks bilgisayarlı tomografisi yorumlamada doğruluk ve özgüven açısından değerlendirilmesi

Year 2023, , 698 - 703, 01.10.2023
https://doi.org/10.31362/patd.1353037

Abstract

Amaç: Özellikle kalabalık acil servislerde, toraks bilgisayarlı tomografisinin (BT) acil hekimleri tarafından yorumlanması önemlidir. Çalışmanın amacı, toraks BT'sinin yorumlanmasında farklı düzeylerde deneyime sahip acil tıp asistanlarının yeterliliklerini ve özgüvenlerini değerlendirmektir.
Gereç ve yöntem: Yirmibeş patolojik ve 5 normal toraks BT görüntüsü, başlangıçta klinik bilgi olmadan, daha sonra da klinik bilgi eklenerek 32 acil tıp asistanı tarafından yorumlanmıştır. Her oturumdan sonra katılımcılardan kararlarına olan güvenlerini 1 ila 10 arasında bir ölçekte puanlamaları istenmiştir. Çalışmanın sonunda, elde edilen sonuçlar çömez ve kıdemli asistanlar arasında karşılaştırılmıştır.
Bulgular: Katılımcıların ortanca yaşı 29 (24-34) idi. Asistanların 20’si (%62,5) çömezdi. İki asistan grubu arasında, klinik bilgiden bağımsız olarak, doğru tanı koyma oranları açısından anlamlı fark saptanmamıştır (p=0,307 ve p=0,061). Kıdemliler klinik bilgi olmadan toraks BT’lerini değerlendirirken, kendilerine çömez asistanlara göre daha fazla güvenmektedirler (p=0,004). Klinik bilgi eklendiğinde çömez asistanlar da kıdemliler kadar kendi tanılarına güvenmektedirler (p=0,087).
Sonuç: Hem kıdemli hem de çömez acil tıp asistanları, toraks BT görüntülerini hem COVID-19 hem de diğer acil teşhisler için yüksek derecede doğrulukla yorumlayabilmektedir. Kıdemli asistanlar BT görüntülerine klinik bilgi olmadan güvenle tanı koyabiliyorken, çömez asistanlar klinik bilgi eklendiğinde benzer bir güvene sahip olmaktadırlar.

References

  • 1. Seidel J, Bissell MB, Vatturi S, Hartery A. Retrospective analysis of emergency computed tomography imaging utilization at an academic centre: an analysis of clinical indications and outcomes. Can Assoc Radiol J 2019;70:13-22. https://doi.org/10.1016/j.carj.2018.10.004
  • 2. Le Bel J, Pelaccia T, Ray P, et al. Impact of emergency physician experience on decision-making in patients with suspected community-acquired pneumonia and undergoing systematic thoracic CT scan. Emerg Med J 2019;36:485-492. https://doi.org/10.1136/emermed-2018-207842
  • 3. Chiu IM, Lin YR, Syue YJ, Kung CT, Wu KH, Li CJ. The influence of crowding on clinical practice in the emergency department. Am J Emerg Med 2018;36:56-60. https://doi.org/10.1016/j.ajem.2017.07.011
  • 4. Ahmed N, Guo A, Elhassan H, Qaiser R, Chung R. Residents managed trauma adequately using their own radiological interpretation as compared with "nighthawk" radiologists. J Trauma 2006;61:555-557. https://doi.org/10.1097/01.ta.0000236574.61357.e3
  • 5. Blazar E, Mitchell D, Townzen JD. Radiology training in emergency medicine residency as a predictor of confidence in an attending. Cureus 2020;12:e6615. https://doi.org/10.7759/cureus.6615
  • 6. Karakoyun OF, Kozaci N, Avci M, Uzunay H. Accuracy of emergency physicians' interpretation of computed tomography for urgent-emergent diagnoses in nontraumatic cases. Turk J Emerg Med 2022;22:89-95. https://doi.org/10.4103/2452-2473.342804
  • 7. Al Reesi A, Stiell IG, Al Zadjali N, Cwinn AA. Comparison of CT head interpretation between emergency physicians and neuroradiologists. Eur J Emerg Med 2010;17:280-282. https://doi.org/10.1097/MEJ.0b013e32833483ed
  • 8. Sähn MJ, Yüksel C, Keil S, et al. Accuracy of chest CT for differentiating COVID-19 from COVID-19 mimics. Rofo 2021;193:1081-1091. https://doi.org/10.1055/a-1388-7950
There are 8 citations in total.

Details

Primary Language English
Subjects Emergency Medicine
Journal Section Research Article
Authors

Alten Oskay 0000-0003-4373-6280

Early Pub Date September 12, 2023
Publication Date October 1, 2023
Submission Date August 31, 2023
Acceptance Date September 12, 2023
Published in Issue Year 2023

Cite

AMA Oskay A. Evaluation of thoracic computed tomography interpretation by emergency medicine residents with regards to accuracy and confidence. Pam Tıp Derg. October 2023;16(4):698-703. doi:10.31362/patd.1353037
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