Skip to main content

Lung ultrasound training and evaluation for proficiency among physicians in a low-resource setting

Abstract

Background

Lung ultrasound (LUS) is helpful for the evaluation of patients with dyspnea in the emergency department (ED). However, it remains unclear how much training and how many LUS examinations are needed for ED physicians to obtain proficiency. The objective of this study was to determine the threshold number of LUS physicians need to perform to achieve proficiency for interpreting LUS on ED patients with dyspnea.

Methods

A prospective study was performed at Patan Hospital in Nepal, evaluating proficiency of physicians novice to LUS. After eight hours of didactics and hands-on training, physicians independently performed and interpreted ultrasounds on patients presenting to the ED with dyspnea. An expert sonographer blinded to patient data and LUS interpretation reviewed images and provided an expert interpretation. Interobserver agreement was performed between the study physician and expert physician interpretation. Cumulative sum analysis was used to determine the number of scans required to attain an acceptable level of training.

Results

Nineteen physicians were included in the study, submitting 330 LUS examinations with 3288 lung zones. Eighteen physicians (95%) reached proficiency. Physicians reached proficiency for interpreting LUS accurately when compared to an expert after 4.4 (SD 2.2) LUS studies for individual zone interpretation and 4.8 (SD 2.3) studies for overall interpretation, respectively.

Conclusions

Following 1 day of training, the majority of physicians novice to LUS achieved proficiency with interpretation of lung ultrasound after less than five ultrasound examinations performed independently.

Introduction

Lung ultrasound (LUS) is an effective tool to evaluate patients with dyspnea in the emergency department (ED) [1,2,3,4,5]. Guidelines recommend including LUS during point-of-care ultrasound training in emergency medicine [6]. As an operator-dependent skill, LUS requires adequate training in order to be used effectively [7]. In a recent systematic review of LUS training, Pietersen et al. recommends a three-step approach of teaching theoretical knowledge, followed by hands-on sessions on simulators or healthy subjects, and finally supervised scanning of patients to determine when learners are ready for independent scanning [8]. However, there is no standardized recommendation on the amount of training required or the number of examinations needed to achieve proficiency in LUS [8]. Guidelines for LUS competency are based on expert opinion and lack prospective data to support them [9].

Only a handful of prior studies have evaluated LUS proficiency in learners [10,11,12,13,14,15]. Several of these studies primarily focused on learners in the intensive care unit (ICU) with varied supervision and assessments of proficiency [10, 14, 15]. While Arbelot et al. included ED residents, the study was performed in the ICU setting [15]. Other studies primarily focused on particular disease processes, such as pneumothoraces [13] or patients with cardiogenic pulmonary edema [12]. There remains a lack of evidence regarding the amount of training and the number of LUS examinations needed to attain proficiency for evaluating the undifferentiated dyspneic patient presenting to the ED. This is of particular importance in a resource-limited setting where radiographs are harder to obtain. The objective of this study was to determine the threshold number of LUS examinations physicians need to perform to achieve proficiency for interpreting LUS in ED patients with dyspnea.

Materials and methods

Study design

This was a prospective study evaluating LUS training and proficiency of physicians performing lung ultrasound in the Patan Hospital Emergency Department. It was conducted from July 2017 through May 2019. This study was approved by the Nepal Health Research Council Ethical Review Board, and written consent was obtained from each physician participant.

Study setting and population

Patan Hospital is a large urban teaching hospital affiliated with Patan Academy of Health Sciences. The ED has an annual patient volume of approximately 48,000 patients. The majority of care in the ED is provided by medical officers, physicians who have completed medical school and are preparing for post-graduate medical education. Patient care is supervised by faculty trained in either general practice or emergency medicine (EM).

All physicians working in Patan Hospital ED were eligible for inclusion in the study. Physician demographics, including medical position (i.e., medical officer, resident, fellow, faculty), and years of practice, were collected. A pre-training assessment of experience and confidence with ultrasound and specifically LUS was obtained.

Physicians performed LUS studies on patients presenting to the ED with dyspnea.

Lung ultrasound training

A total of eight hours of training was provided for ED physicians that consented for participation in the study. The first four hours consisted of a 1-h didactic session on LUS followed by hands-on practice with a human model. This was then followed by four hours of one-on-one proctored scanning in the ED performing LUS on dyspneic patients to ensure learners were comfortable with acquiring images, saving images for submission, and interpreting images according to the BLUE protocol [2].

Study protocol

Ultrasounds were performed using a SonoSite M-Turbo (Fujifilm SonoSite, Inc.) machine and a curvilinear probe. The ultrasound protocol included ten views of the lungs: two anterior, two lateral, and one posterior view on each hemithorax [2].

Following the training, each physician performed scans independently, recorded images in all zones labeled by location, and reported findings in each zone, including an overall interpretation based on the BLUE protocol [2, 16]. Physicians assessed for lung sliding, A-lines, B-lines, consolidations, and/or pleural effusions [2, 17]. A lines were defined as recurrent horizontal echogenic artifacts arising from the pleural line generated by sub-pleural air [2]. B-lines were defined as discrete vertical hyperechoic artifacts arising from the pleural line, extending to the bottom of the ultrasound screen, erasing A lines, and moving with lung sliding [2]. Consolidation was defined as sub-pleural hypoechoic or tissue-like area with B-lines at the far-field border [2].

Physician trainees recorded their interpretation of each zone and overall interpretation on a standardized data collection form immediately following each scan. These examinations were exported from the ultrasound machine and uploaded for review of quality and interpretation by one of two expert sonographers with registered diagnostic medical sonographer certification and > 1000 previously performed ultrasounds. Expert sonographers were blinded to clinical data and physician interpretations of each zone and overall interpretation. After every five scans, physicians received feedback on the quality and interpretation of their ultrasounds. Image quality was graded on a five-point scale (1—Very Poor, 2—Poor, 3—Average, 4—Good, 5—Excellent). Trainees were expected to submit a minimum of five abnormal scans, including both B-lines and consolidation, to ensure proficiency with both normal and abnormal findings [18].

Statistical analysis

Cumulative sum (Cusum) statistical methodology was used to evaluate the number of LUS scans required to reach an adequate level of training [19, 20]. As described in more detail by Russell et al., Cusum analysis uses pre-defined acceptable and unacceptable failure rates and evaluates sequential data to determine when a learner has reached proficiency with a skill [12, 19, 20]. This statistical method assesses procedural competence for learners over time. Two outcomes were considered: whether physicians were at least 70% correct; and whether they had “Yes” for correct interpretation. This predetermined threshold has been used previously in the literature to determine learner competency [12, 21]. Assuming an accepted failure probability was 0.3 and smallest detectable failure probability was 0.7, type 1 error and type 2 error (alpha and beta, respectively) were both set at 0.1.

Interobserver agreement for ultrasound interpretations between the study physician and expert sonographer was calculated using Cohen’s Kappa coefficient. A random 10% of examinations was overread by a second expert sonographer to assess interobserver agreement between experts.

Results

Twenty-one physicians were enrolled in the study; however, two physicians withdrew from the study after leaving the hospital for personal reasons, leaving nineteen physicians who completed the study. The majority of physicians in the study were medical officers (84%) who had less than 1 year clinical experience following medical school (Table 1). Most had never used an ultrasound machine or had used the ultrasound less than ten times. The general practice faculty and two emergency medicine fellows (general practice physicians doing an 18-month training in emergency medicine) had used the ultrasound a large amount, primarily performing obstetrical ultrasounds. None of the study physicians had performed LUS prior to the study.

Table 1 Demographics

A total of 330 lung examinations were performed with 3288 lung zones included in analysis. Physicians submitted an average of 17 complete lung ultrasound scans (SD 5.5, range 10–30). Several examinations were missing posterior lung views due to patient’s clinical status and inability to sit up or roll over. One hundred and sixteen (35%) lung examinations were normal and 214 (65%) had abnormalities. The most common diagnosis for dyspnea in this ED population was pneumonia, one of the most common causes of morbidity and mortality in resource-limited settings (Table 2).

Table 2 Lung ultrasound diagnoses

Eighteen physicians (95%) reached proficiency. Physician S only provided 10 scans and did not reach proficiency in this analysis. We found that physicians attained proficiency for interpreting LUS accurately when compared to an expert after 4.4 (SD 2.2) LUS studies for individual zone interpretation and 4.8 (SD 2.3) LUS studies for overall interpretation; see Figs. 1, 2. Table 3 provides a summary of statistics for the number of scans required to reach an acceptable level of training by physician.

Fig. 1
figure 1

Cusum plot for number of scans required to reach proficiency

Fig. 2
figure 2

Cusum plot for number of scans required to reach a correct overall interpretation

Table 3 Scans required for proficiency by physician

Physicians also demonstrated good image quality with an average image quality of 4.1 (SD 0.3). The image quality improved as more scans were performed.

Expert interobserver agreement for individual images was 0.7 and for overall diagnosis was 0.9.

Discussion

This was the first study to evaluate the number of LUS scans needed to attain proficiency for acquiring and interpreting images on undifferentiated dyspneic ED patients in a resource-limited setting. Overall, we found that nearly all novice users became proficient in acquiring and interpreting lung ultrasounds after performing on average less than five independent examinations when compared to an expert.

These results are similar to the study by See et al., evaluating proficiency in lung ultrasound use by respiratory therapists in an intensive care setting [10]. In their study, respiratory therapists only needed ten directly observed scans to accurately obtain and interpret images. However, these exams were all directly observed and may provide an added confidence that may not be there when scanning independently. This study did not follow learners after supervised scans to evaluate if proficiency was maintained while scanning independently. In our study, novice physicians scanned independently and were able to attain proficiency within the same number of scans.

Millington et al. developed and evaluated a tool for assessment of competency in thoracic ultrasonography on ten learners, finding learners rapidly improved in image generation and interpretation in up to 25–30 scans [11]. However, the study did not evaluate sequential ultrasounds from learners or define when competency was achieved. Similarly, a training curriculum and prospective evaluation by Arbelot et al. recommended 20–25 supervised scans to acquire basic skills for interpretation of LUS. [15] While our study provided five supervised scans, we found proficiency was obtained after only an additional five scans performed independently. This difference may be due to differences in the complexity of ICU versus ED patients, which highlights the need for further evaluation of proficiency needs for learners in different settings.

Russell et al. found that novice sonographers, including physicians and non-physicians, achieved proficiency in LUS B-line quantification after limited training and independently scanning 11 lung zones (less than two full LUS examinations) [12]. This study assessed 29 learners and used Cusum analysis to construct learning curves [12]. It differs from our study in that they specifically evaluated proficiency for B-line quantification in acute heart failure patients instead of determining LUS findings and diagnosis in ED patients with undifferentiated dyspnea. The data from both of these studies remain consistent with prior research suggesting that LUS is one of the easier ultrasound exam types to perform and interpret [22].

In our study, one learner did not reach proficiency. Soon after enrollment into the study, the learner transitioned from the ED to a clinical research position. This transition may have resulted in less vested interest in learning ultrasound. Additionally, the learner tried to quickly complete the number of ultrasounds, which may have made it difficult to implement any feedback to develop proficiency. While all other learners obtained proficiency within ten scans, this highlights the importance that some learners may require more scans.

There are several limitations within this study. We had a small sample size and conducted the study within one center, making generalizability difficult. Also, there may be a selection bias as physicians volunteered to participate in the study, which may lead to those physicians with more motivation to learn ultrasound being included in the study. Additionally, we used the BLUE protocol for interpretation of LUS findings. The BLUE protocol was developed in the ICU setting on critically ill patients, and does not differentiate subtle findings (i.e., interstitial infections from edema or pneumonia from other causes of consolidation). However, the BLUE protocol provides a helpful algorithm for novice users in learning how to apply lung ultrasound to clinical care. Because of this, we utilized this organized approach in our training and encouraged learners to interpret these findings within the clinical context. We did not collect body mass index (BMI) or other patient demographics for the study as this is difficult to do in a resource-limited setting. BMI may impact image quality and thus interpretation. Although lung ultrasound is considered easy to acquire [22], future studies should assess impact of BMI on proficiency. Finally, interpretation is dependent on clinical context and we did not follow patients to ensure that the clinical diagnosis matched the LUS interpretation. It is important to recognize that with LUS it is relatively easy to learn how to acquire images; however, interpretation of artifacts has a steeper learning curve. In this study, we found that learners achieved proficiency for interpretation after just five independent scans. When applying LUS clinically, it is important to remember that findings and subsequent management of the patient should be done within the clinical context.

Overall, this study further helps to understand LUS proficiency and may be used to help guide future benchmark recommendations. Having a better understanding of the number of scans necessary to reach proficiency is crucial to determine the level of training needed for providers using LUS. Future studies evaluating ongoing proficiency and impact on clinical care would be helpful, particularly in resource-limited settings where other diagnostic tools are lacking.

Conclusion

Following 8 h of didactic and hands-on training, the majority of physicians novice to lung ultrasound achieved proficiency with interpretation of lung ultrasound after less than five ultrasound examinations performed independently.

Availability of data and materials

Not applicable.

Abbreviations

LUS:

Lung ultrasound

ED:

Emergency department

ICU:

Intensive care unit

EM:

Emergency medicine

Cusum:

Cumulative sum

BMI:

Body mass index

References

  1. Gallard E, Redonnet JP, Bourcier JE et al (2015) Diagnostic performance of cardiopulmonary ultrasound performed by the emergency physician in the management of acute dyspnea. Am J Emerg Med 33(3):352–358. https://doi.org/10.1016/j.ajem.2014.12.003

    Article  PubMed  Google Scholar 

  2. Lichtenstein DA (2014) Lung ultrasound in the critically ill. Ann Intensive Care 4(1):1. https://doi.org/10.1186/2110-5820-4-1

    Article  PubMed  PubMed Central  Google Scholar 

  3. Mantuani D, Nagdev A (2013) Three-view bedside ultrasound to differentiate acute decompensated heart failure from chronic obstructive pulmonary disease. Am J Emerg Med 31(4):759.e3-759.e5. https://doi.org/10.1016/j.ajem.2012.11.028

    Article  Google Scholar 

  4. Pirozzi C, Numis FG, Pagano A, Melillo P, Copetti R, Schiraldi F (2014) Immediate versus delayed integrated point-of-care-ultrasonography to manage acute dyspnea in the emergency department. Crit Ultrasound J 6(1):5. https://doi.org/10.1186/2036-7902-6-5

    Article  PubMed  PubMed Central  Google Scholar 

  5. Russell FM, Ehrman RR, Cosby K et al (2015) Diagnosing acute heart failure in patients with undifferentiated dyspnea: a lung and cardiac ultrasound (LuCUS) protocol. Acad Emerg Med 22(2):182–191. https://doi.org/10.1111/acem.12570

    Article  PubMed  Google Scholar 

  6. Atkinson P, Bowra J, Lambert M, Lamprecht H, Noble V, Jarman B (2015) International Federation for Emergency Medicine point of care ultrasound curriculum. CJEM 17(2):161–170. https://doi.org/10.1017/cem.2015.8

    Article  PubMed  Google Scholar 

  7. Tsou PY, Chen KP, Wang YH et al (2019) Diagnostic accuracy of lung ultrasound performed by novice versus advanced sonographers for pneumonia in children: a systematic review and meta-analysis. Acad Emerg Med 26(9):1074–1088. https://doi.org/10.1111/acem.13818

    Article  PubMed  Google Scholar 

  8. Pietersen PI, Madsen KR, Graumann O, Konge L, Nielsen BU, Laursen CB (2018) Lung ultrasound training: a systematic review of published literature in clinical lung ultrasound training. Crit Ultrasound J 10(1):23. https://doi.org/10.1186/s13089-018-0103-6

    Article  PubMed  PubMed Central  Google Scholar 

  9. American College of Emergency Physicians (2009) Emergency ultrasound guidelines. Ann Emerg Med 53(4):550–570. https://doi.org/10.1016/j.annemergmed.2008.12.013

    Article  Google Scholar 

  10. See KC, Ong V, Wong SH et al (2016) Lung ultrasound training: curriculum implementation and learning trajectory among respiratory therapists. Intensive Care Med 42(1):63–71. https://doi.org/10.1007/s00134-015-4102-9

    Article  CAS  PubMed  Google Scholar 

  11. Millington SJ, Arntfield RT, Guo RJ et al (2017) The assessment of competency in thoracic sonography (ACTS) scale: validation of a tool for point-of-care ultrasound. Crit Ultrasound J 9(1):25. https://doi.org/10.1186/s13089-017-0081-0

    Article  PubMed  PubMed Central  Google Scholar 

  12. Russell FM, Ferre R, Ehrman RR et al (2020) What are the minimum requirements to establish proficiency in lung ultrasound training for quantifying B-lines? ESC Heart Fail 7(5):2941–2947. https://doi.org/10.1002/ehf2.12907

    Article  PubMed  PubMed Central  Google Scholar 

  13. Blehar DJ, Barton B, Gaspari RJ (2015) Learning curves in emergency ultrasound education. Acad Emerg Med 22(5):574–582. https://doi.org/10.1111/acem.12653

    Article  PubMed  Google Scholar 

  14. Tulleken AM, Gelissen H, Lust E et al (2019) UltraNurse: teaching point-of-care ultrasound to intensive care nurses. Intensive Care Med 45(5):727–729. https://doi.org/10.1007/s00134-018-05512-x

    Article  PubMed  Google Scholar 

  15. Arbelot C, DexheimerNeto FL, Gao Y et al (2020) Lung ultrasound in emergency and critically ill patients: number of supervised exams to reach basic competence. Anesthesiology 132(4):899–907. https://doi.org/10.1097/ALN.0000000000003096

    Article  PubMed  Google Scholar 

  16. Cortellaro F, Colombo S, Coen D, Duca PG (2012) Lung ultrasound is an accurate diagnostic tool for the diagnosis of pneumonia in the emergency department. Emerg Med J 29(1):19–23. https://doi.org/10.1136/emj.2010.101584

    Article  PubMed  Google Scholar 

  17. Lichtenstein DA, Lascols N, Meziere G, Gepner A (2004) Ultrasound diagnosis of alveolar consolidation in the critically ill. Intensive Care Med 30(2):276–281. https://doi.org/10.1007/s00134-003-2075-6

    Article  PubMed  Google Scholar 

  18. Ultrasound guidelines: emergency, point-of-care, and clinical ultrasound guidelines in medicine. https://www.acep.org/globalassets/sites/acep/media/ultrasound/pointofcareultrasound-guidelines.pdf. Accessed 13 Dec 2020

  19. Komatsu R, Kasuya Y, Yogo H et al (2010) Learning curves for bag-and-mask ventilation and orotracheal intubation: an application of the cumulative sum method. Anesthesiology 112(6):1525–1531. https://doi.org/10.1097/ALN.0b013e3181d96779

    Article  PubMed  Google Scholar 

  20. Starkie T, Drake EJ (2013) Assessment of procedural skills training and performance in anesthesia using cumulative sum analysis (cusum). Can J Anaesth 60(12):1228–1239. https://doi.org/10.1007/s12630-013-0045-1

    Article  PubMed  Google Scholar 

  21. Sivaprakasam J, Purva M (2010) CUSUM analysis to assess competence: what failure rate is acceptable? Clin Teach 7(4):257–261. https://doi.org/10.1111/j.1743-498X.2010.00386.x

    Article  PubMed  Google Scholar 

  22. Volpicelli G, Elbarbary M, Blaivas M et al (2012) International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med 38(4):577–591. https://doi.org/10.1007/s00134-012-2513-4

    Article  PubMed  Google Scholar 

Download references

Funding

None.

Author information

Authors and Affiliations

Authors

Contributions

DRH, YA, and FMR were responsible for the concept and design of the study. DRH, YA, BN, and FMR participated in data collection, analysis, and manuscript preparation. DRH takes responsibility of the paper as a whole. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Darlene R. House.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Nepal Health Research Council Ethical Review Board (Reg No.: 212/2017). Written informed consent was obtained from each physician participant.

Consent for publication

Not applicable.

Competing interests

All authors report no disclosures or competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

House, D.R., Amatya, Y., Nti, B. et al. Lung ultrasound training and evaluation for proficiency among physicians in a low-resource setting. Ultrasound J 13, 34 (2021). https://doi.org/10.1186/s13089-021-00236-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13089-021-00236-4

Keywords