Elsevier

Academic Radiology

Volume 15, Issue 1, January 2008, Pages 71-76
Academic Radiology

Original investigation
Comparison of On-Call Radiology Resident and Faculty Interpretation of 4- and 16-row Multidetector CT Pulmonary Angiography with Indirect CT Venography1

https://doi.org/10.1016/j.acra.2007.06.030Get rights and content

Rationale and Objectives

On-call radiology residents frequently interpret computed tomography (CT) pulmonary angiography and CT venography studies outside of routine working hours. The purpose of this study was to compare resident and faculty interpretation concordance rates and to see if concordance rates differed depending on the number of CT detectors used.

Materials and Methods

The study population included 122 consecutive CT pulmonary angiography (CTPA) and CT venography (CTV) examinations performed on a four-row multidetector CT (MDCT) and 125 consecutive CTPA examinations performed using a 16-row MDCT scanner with CTV performed in 124 patients. Preliminary resident reports and final faculty reports were compared. Discrepant cases were independently reviewed by three cardiothoracic radiologists who were unaware of the initial interpretations. Interpretation concordance rates were calculated for both 4- and 16- row MDCT studies and compared using Fisher’s exact test.

Results

Resident and faculty CTPA and CTV interpretations were concordant in 80% of the 4-row cases and 94% of the 16-row cases. When comparing resident interpretation to the final expert reference standard, the corrected resident error rate was 11% and 2% for 4-row CTPA and CTV, respectively and 4% and 2% for 16-row CTPA and CTV, respectively. Overall CTPA and CTV concordance was significantly lower for 4-row MDCT (80% versus 94%, P < .001 [two-sided] by Fisher’s exact test).

Conclusions

Radiology resident interpretation of CTPA and CTV studies demonstrates a high level of agreement with radiology faculty interpretation. Concordance rates are significantly higher for 16-row MDCT than 4-row MDCT which may be due to improved image quality.

Section snippets

Study Population

Patient populations consisted of both emergency room patients and inpatients. All studies were performed outside of routine work hours (weekdays 5 pm to 8 am, weekends, and holidays). The 4-row MDCT study group consisted of 122 consecutive CTPA and CTV studies performed over a 5-month period from March 2001 to July 2001. There were 75 females and 47 males with a mean age of 53 years (range 21–80). The 16-row MDCT group consisted of 125 consecutive CTPA examinations performed over a 3-month

Results

Resident and faculty CTPA and CTV interpretations agreed in 98 of 122 patients (80%) for 4-row MDCT and 118 of 125 patients (94%) using 16-row MDCT (Fig 1). The difference in concordance rates was statistically significant (P < .001 [two-sided] by Fisher’s exact test). Using the final expert panel reference standard, CTPA agreement was significantly higher with 16-row MDCT than the 4-row MDCT (94% versus 83%, P = .0046 [two-sided] by Fisher’s exact test). CTV agreement was 96% with 4-row MDCT

Discussion

Resident interpretation of emergent radiology studies is becoming increasingly significant, particularly in the university hospital environment. A prospective study by Scott et al found that radiology residents are interpreting a diverse and increasing number of emergent diagnostic examinations after hours. In their study, the most common examination performed during off hours was CT (69%) (2). The results of our study show that preliminary interpretations of CTPA and CTV examinations by

Conclusion

Interpretation of CTPA and CTV studies by second, third, and fourth year on-call radiology residents demonstrates a high level of concordance with radiology faculty interpretations, supporting the practice of resident interpretation of emergent CTPA and CTV studies performed outside of routine work hours. Concordance rates may be further improved when MDCT scanners with a greater number of detectors are used.

References (14)

There are more references available in the full text version of this article.

Cited by (21)

  • Preserving the educational value of call in a diagnostic radiology residency program

    2014, Journal of the American College of Radiology
    Citation Excerpt :

    At Arkansas Children's Hospital, more than 3,600 preliminary readings have been reviewed since 2010 and accuracy is >95%, with no case resulting in a negative effect on patient care. This rate is similar to that reported in the literature [11-19]. Diagnostic radiology programs face challenges on many fronts.

  • Pulmonary Embolism

    2012, Emergency Medicine Clinics of North America
  • Comparison of discrepancy rates in resident and faculty interpretations of On-Call PE CT and V/Q scans: Is one study more reliable during off hours?

    2011, Journal of the American College of Radiology
    Citation Excerpt :

    To our knowledge, there has been no comparison of PE CT and V/Q scans in terms of residents' accuracy in interpretation during off hours. Consistent with the findings of multiple prior studies, we have demonstrated a high level of agreement (95%, κ = 0.77) between preliminary resident interpretations and final faculty member interpretations of PE CT examinations [15-20]. Rufener et al [19] and Cervini et al [18] previously demonstrated 94% and 90% agreement, respectively, between residents' and attending radiologists' interpretations of CT pulmonary angiographic examinations.

  • Effect of Work Hours, Caseload, Shift Type, and Experience on Resident Call Performance

    2010, Academic Radiology
    Citation Excerpt :

    Weekend overnight shifts are associated with a higher discrepancy rate (OR 1.3 [1.2–1.5], P < .001) than weekdays despite a shorter total workday (15 vs. 24 total hours, respectively). Published trainee-faculty concordance rates for the interpretation of on-call cross-sectional imaging studies have historically been extraordinarily good (9–19). Although encouraging, this low prevalence of discordances can make it difficult to assess the effect of specific variables (eg, changing call type) on resident call performance.

  • Pulmonary Embolism Detection Using Machine and Deep Learning Techniques

    2024, Blockchain and Deep Learning for Smart Healthcare
View all citing articles on Scopus
1

Funded in part by the RSNA Research Scholar Grant. Funded in part by the GE-AUR Radiology Research Academic Fellowship.

View full text