Skip to main content

Detection of missed fractures of hand and forearm in whole-body CT in a blinded reassessment

Abstract

Background

We examined the visibility of fractures of hand and forearm in whole-body CT and its influence on delayed diagnosis. This study is based on a prior study on delayed diagnosis of fractures of hand and forearm in patients with suspected polytrauma.

Methods

Two blinded radiologists examined CT-scans of patients with fractures of hand or forearm that were diagnosed later than 24 h after admission and control cases with unremarkable imaging of those areas. They were provided with clinical information that was documented in the admission report and were asked to examine forearm and hands. After unblinding, the visibility of fractures was determined. We examined if time of admission or slice thickness was a factor for late or missed diagnoses.

Results

We included 72 known fractures in 36 cases. Of those 65 were visible. Sixteen visible fractures were diagnosed late during hospital stay. Eight more fractures were detected on revision by the radiologists. Both radiologists missed known fractures and found new fractures that were not reported by the other. Missed and late diagnoses of fractures occurred more often around 5 pm and 1 am. Slice thickness was not significantly different between fractures and cases with fractures found within 24 h and those found later.

Conclusions

The number of late diagnosis or completely missed fractures of the hand and forearm may be reduced by a repeated survey of WBCT with focus on the extremities in patients with suspected polytrauma who are not conscious.

Level of evidence

III

Peer Review reports

Background

Injuries of the hand may be missed in 3.5 to 25% of patients with polytrauma [1, 2]. While there is no definition of ‘missed’, delayed’, or ‘late’, we decided to use the term ‘late diagnosis’ for injuries that were detected 24 h after admission but during hospitalisation as they were eventually found [3,4,5,6]. Fractures of the upper extremity may be associated with reduced quality of life [7,8,9]. A timely treatment has been shown to be beneficial for a return to work [10]. We found that fractures of hand are more often detected in patients in cases with full inclusion of the hand in the whole-body CT (WBCT). This was more often achieved by placing the hands on the abdomen [6]. The ISS did not have an influence on the number of late diagnoses in our sample [6]. The question remained if the fractures are visible for the human eye on retrospection which may also depend on the slice thickness of the WBCT. Other causes for missed or late diagnoses can be fatigue which has been associated with worse diagnostic performance of radiologists [11]. This study is a follow up of a retrospective analysis of patient data on the sensitivity of WBCT for the detection of fractures of hand and/or forearm in intubated patients with suspected polytrauma [6].

Aim

We wanted to assess how many fractures of hand and forearm, that were diagnosed late, were visible in the WBCT on retrospection. Additionally, the influence of the time of day of the WBCT and slice thickness on the occurrence of late diagnoses was analysed.

Methods

The study is based on cases that were identified in the previous publication [6]. The sample consisted of patients who were admitted for suspected polytrauma, sedated and ventilated and received a WBCT. Sedated, intubated patients were chosen to avoid the influence of patient related factors like level of consciousness, self-awareness, and pain sensation.

Two radiologists from two different hospitals that did not provide data for the first study were tasked to examine WBCTs for bony injuries of hand or forearm, no further instructions were given. They were presented 44 cases with the clinical data provided on the CT request form. The cases were in random order and consisted of 12 cases with a late (> 24 h after admission) diagnosis of a fracture of the hand and/or forearm, 25 cases with a diagnosis within 24 h, and 7 control cases who had no injury. The control cases were chosen among cases who received additional imaging of the hand and wrist that showed no bony pathology. All fractures that had been diagnosed before discharge and were listed in the discharge papers are named ‘reported fractures’ in our manuscript. Further data after discharge were not available.

Radiologist 1 was a 4th year resident, radiologist 2 had more than 20 years of working experience. They were permitted to use all sequences of the WBCT, including the localiser, and do additional reconstruction if needed. They were asked to list all bony injuries of the upper extremities without further instructions. After blinded reassessment, all reported, and previously unreported fractures were tested for inclusion and visibility in the CT by three of the authors. Discrepancies were solved by majority vote.

Eight fractures were found that have not been reported during hospitalisation. Those missed fractures were added to the number of fractures with diagnosis later than 24 h. As they probably would not have needed a surgical treatment and likely full healing, we decided to not contact the patients. The patient should not be confronted with memories of the traumatic event. This decision was supported by the ethical board of our institution, also considering that there would be no therapeutic consequence by now.

Time of imaging and slice thickness of the axial layers analysed. For the time diagrams, fractures and cases were categorised into diagnosis ‘< 24 h’, ‘> 24 h’, and ‘missed’. Cases with at least one missed fracture were labelled ‘missed’, then cases with at least one late diagnosis were labelled ‘> 24 h’. The other were ‘< 24 h’.

Statistical tests of categorial variables with at least 5 expected cases for each field were performed with Chi-square, and Fisher’s exact for tables that did not meet the requirement. Differences between continuous variables were tested using the unpaired t-test. A p-value of ≤0.05 was defined as significant.

The local institutional ethics committee of the University of Greifswald (Ethikkommission an der Universitätsmedizin Greifswald, Greifswald, Germany) approved the study (BB 054/16a) and stated that there are no ethical or legal concerns regarding this study. The decision was based on the Helsinki declaration. The need for consent for the retrospective use of patient data was waived by the institutional ethics committee of the University of Greifswald.

Informed consent was obtained from the radiologists that participated in the study.

Results

Seventy-two fractures of hand or forearm were reported in the discharge letter of 36 cases. Forty-nine were found within 24 h after admission by WBCT or additional diagnostic imaging. On reassessment of all reported fractures, 65 were visible resulting in 25% (16 of 65) of diagnoses that could have been detected additionally on admission in the initial WBCT (Table 1).

Table 1 Reported fractures and their visibility in WBCT

Twenty-four requests forms had clinical data on suspected injuries. A suspected injury of forearm and hands was documented in 13 cases. Eight of those had no injury in the suspected area, of which three were control cases. Five cases had a corresponding injury. Fourteen cases reported the mechanism of injury only, of which four only mentioned ‘traffic injury’. Five request forms gave information that the patient is sedated and intubated only, and one had no entry.

Blinded reassessment

Both blinded radiologists missed reported fractures and suspected 15 more fractures (Table 2).

Table 2 Missed and reported fractures on blinded and unblinded reassessment

We could confirm eight fractures on unblinded reassessment. One was found by both. Added to the 65 visible fractures that were reported in the discharge documentation, in total 73 fractures were visible in 33 cases and 11% (8/73) were missed. The remaining 11 cases were 7 controls and 4 cases with fractures not visible in WBCT.

Radiologist 1 missed all reported carpal and phalangeal fractures but found a previously unknown carpal injury (pisiform fracture: Fig. 1 and Additional file 1).

Fig. 1
figure 1

Fracture of the pisiform bone that was found on blinded reassessment. The adjacent slices are shown in the additional video file (additional file 1)

Eighteen known fractures were missed by both radiologists, 26 by Radiologist 1 only, and 4 by Radiologist 2 only. Of note is the use of the localiser by Radiologist 2 to look for an injury, as one ulnar fracture was only included there (Fig. 2).

Fig. 2
figure 2

Fracture of the ulnar diaphysis that was only visible on the localiser as the arms were not included in the WBCT. Contrast and brightness were adjusted to better show the bones of the forearm

This fracture was labelled visible in WBCT. Three new fractures of the ulna were of the styloid process in association with a distal radius fracture and might be considered not relevant by some doctors. The remaining four carpal fractures would be treated by a splint, the metacarpal fracture could be fixated by K-wire or splinted depending on possible malrotation as there was no angulation.

Possible factors for missed/late diagnoses

On reassessment, all reported fractures were considered visible by both radiologists when confronted with the diagnosis. Reasons for missed fracture on reassessment included visibility in only one orientation, artifacts, and no reason. Two suspected fractures (scaphoid and metacarpal) on reassessment could not be confirmed or rejected and would have been followed up by additional imaging. They were not counted as fractures for this study.

Analysis of the time of day showed a tendency for missed or late diagnoses of potentially visible fractures for WBCT that were performed around 5 pm and 1 am (Fig. 3).

Fig. 3
figure 3

Number of fractures for time of the day of the WBCT. The circles show if the fracture was found within or after 24 h after submission or during this study (missed). The number of fractures found at 18 and 0 within 24 h were 14 and 9. The same diagram ist shown without fractures found within 24 h in additional file 2

Cases with at least one missed or late diagnosis of a fracture of hand or forearm showed a similar distribution (Fig. 4).

Fig. 4
figure 4

Number of cases with fractures for time of the day of the WBCT. The circles show if the fracture was found within or after 24 h after submission or during this study (missed). If at least one fracture was missed or found after 24 h, the label was set to missed or > 24 h. The same diagram ist shown without cases with fractures found within 24 h in additional file 3

The same figures showing only the number of missed and late fractures and cases are shown in Additional files 2 and 3.

Slice thickness ranged between 0.9 and 5 mm with an average of 1.7 (CI 1.5–2.0, SD 1.1) for all 73 visible fractures.

Fractures that were diagnosed late or missed showed no difference in WBCT slice thickness to those found within 24 h (late/missed: n = 12, 1.7 mm, CI 1.1–1.2, SD 1.3 vs other n = 52, 1.7 mm, CI 1.5–2.0, SD 1.0, p = 0.743, t-test). The same was true looking at cases with late or missed fractures (late/missed: n = 12, 1.3 mm, CI 0.8–1.7, SD 0.7 vs other: n = 21, 1.8 mm, CI 1.4–2.3, SD 1.0, p = 0.092, t-test).

Discussion

Fractures of forearm and hand in patients with multiple trauma can occur in 36% of cases [12]. In our original study population, we determined a prevalence of 12.1% for late diagnosis of fractures of forearm and hand [6]. In this subsample, we found 8 visible fractures in addition to 65 reported that were all visible in WBCT on reassessment. Missed fractures that were found during reassessment accounted for 11% of visible fractures in the WBCT. Even not counting three fractures of the ulnar styloid that were associated with a radius fracture, the remaining five fractures would add more than 7% that might not get proper treatment.

The treatment consequences of reported delayed diagnoses have been shown in our previous study [6]. In this study, one missed fracture might have needed a surgical treatment.

Previous studies reported a range of missed injuries up to 39%, corresponding to 65% of analysed patients who had a missed injury [3, 13, 14]. But they were eventually found during the treatment of the patient and not completely missed.

While both radiologists performed poorly in the reassessment of the WBCT as they missed more than 20 of 65 known fractures, but both found previously undetected fractures. One reason for the poor result might be motivation as they were doing the examination during breaks or after work. But that would not account for the number of new fractures that were found. Another explanation might be incomplete clinical data in the request forms. In both hospitals, the trauma surgeon would talk to the radiologist directly and discuss clinical signs that could hint to an injury. Depending on the patient’s condition, the one responsible for requesting the WBCT might not want to delay the procedure by writing a detailed essay. As little clinical data was available for the reassessment, both radiologists who reassessed the cases had few clues on possible injury areas, and they had to scan all areas with the same attention. In our sample, late and missed diagnoses cannot be attributed to a lower image quality regarding slice thickness.

Tertiary trauma survey can detect 56% of early missed injuries within 24 h [14]. The rate might be increased by addition of a radiological repeated survey along with the clinical examination.

In a systematic analysis of emergency radiographs for the extremities, the most common reason for a missed fracture was subtlety of the fracture [15]. The proposed solution was adequate training. Regarding our sample, the same might be true beginning with examination of all available data, including the localiser, and paying attention to hand and forearm when vital injuries have been excluded. While an experienced radiologist might have included inspection of the localiser in his routine, a less experienced viewer might forget it. The value of localiser examination was shown in a case series of abdominal CT scans that had a visible lung mass in the localiser that was not included in the axial sections and diagnosed several weeks later [16].

While not enough to be certain, we most missed fractures in our sample appeared late afternoon and shortly after midnight. In the participating centres that provided the cases, around 5 pm the first shift would end and the second would already have worked for several hours. Atypical working times may have a negative effect on psychomotor performance, lead to a higher risk of accidents and mood disturbances [17]. In addition, time of day was shown to matter for alerting attention in contrast to orienting and executive attention, the first being likely more important for assessment of radiographs [18]. Radiology reports were more often edited at end of shifts at 5 pm and with increasing working hours [19]. Fatigue and experience of radiologists has an influence on diagnostic efficiency and efficacy [20, 21]. Shift workers who worked into the night were shown to show a peak in the Karolinska Sleepiness Scale as the night advanced [22]. As we analysed a defined area and the radiologists missed fractures on reassessment without discernible pattern, a satisfaction of search effect cannot be excluded but is not likely in our study [23].

Conclusions

The number of late diagnosis or completely missed fractures of the hand and forearm may be reduced by a repeated survey of WBCT with focus on the extremities.

Availability of data and materials

The dataset used and analysed during the current study is available on Mendeley Data: Münn, Friederike; Kim, Simon (2021), “Polytrauma: missed fractures hand/forearm”, Mendeley Data, V1, doi: https://doi.org/10.17632/f9vm3c4d7v.1

Abbreviations

WBCT:

Whole-body CT

References

  1. Ferree S, van der Vliet QMJ, van Heijl M, Houwert RM, Leenen LPH, Hietbrink F. Fractures and dislocations of the hand in polytrauma patients: incidence, injury pattern and functional outcome. Injury. 2017;48(4):930–5. https://doi.org/10.1016/j.injury.2017.02.034.

    Article  PubMed  Google Scholar 

  2. Schadel-Hopfner M, Siebert H. Operative strategies for hand injuries in multiple trauma. A systematic review of the literature. Unfallchirurg. 2005;108(10):850–7. https://doi.org/10.1007/s00113-005-0996-y.

    Article  CAS  PubMed  Google Scholar 

  3. Robertson R, Mattox R, Collins T, Parks-Miller C, Eidt J, Cone J. Missed injuries in a rural area trauma center. Am J Surg. 1996;172(5):564–7; discussion 567-8. https://doi.org/10.1016/S0002-9610(96)00247-4.

    Article  CAS  PubMed  Google Scholar 

  4. Thomson CB, Greaves I. Missed injury and the tertiary trauma survey. Injury. 2008;39(1):107–14. https://doi.org/10.1016/j.injury.2007.07.030.

    Article  PubMed  Google Scholar 

  5. Pfeifer R, Pape H-C. Missed injuries in trauma patients: a literature review. Patient Saf Surg. 2008;2(1):20. https://doi.org/10.1186/1754-9493-2-20.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Munn F, et al. Detection of fractures of hand and forearm in whole-body CT for suspected polytrauma in intubated patients. BMC Musculoskelet Disord. 2020;21(1):49. https://doi.org/10.1186/s12891-020-3068-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Ciclamini D, Panero B, Titolo P, Tos P, Battiston B. Particularities of hand and wrist complex injuries in polytrauma management. Injury. 2014;45(2):448–51. https://doi.org/10.1016/j.injury.2013.09.016.

    Article  PubMed  Google Scholar 

  8. Mark G. The fate of the polytraumatized patient with a “minor injury” of the hand. Handchir Mikrochir Plast Chir. 1989;21(1):51–4.

    CAS  PubMed  Google Scholar 

  9. Marom BS, Sharabi M, Carel RS, Ratzon NZ. Returning to work after a hand injury: does ethnicity matter? PLoS One. 2020;15(3):e0229982. https://doi.org/10.1371/journal.pone.0229982.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Hu J, Jiang Y, Liang Y, Yu ITS, Leng H, He Y. Predictors of return to work and duration of absence following work-related hand injury. Int J Inj Control Saf Promot. 2014;21(3):216–23. https://doi.org/10.1080/17457300.2013.792280.

    Article  CAS  Google Scholar 

  11. Hanna TN, Zygmont ME, Peterson R, Theriot D, Shekhani H, Johnson JO, et al. The effects of fatigue from overnight shifts on radiology search patterns and diagnostic performance. J Am Coll Radiol. 2018;15(12):1709–16. https://doi.org/10.1016/j.jacr.2017.12.019.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Fitschen-Oestern S, Lippross S, Lefering R, Klüter T, Behrendt P, Weuster M, et al. Missed hand and forearm injuries in multiple trauma patients: an analysis from the TraumaRegister DGU(R). Injury. 2020;51(7):1608–17. https://doi.org/10.1016/j.injury.2020.04.022.

    Article  PubMed  Google Scholar 

  13. Buduhan G, McRitchie DI. Missed injuries in patients with multiple trauma. J Trauma. 2000;49(4):600–5. https://doi.org/10.1097/00005373-200010000-00005.

    Article  CAS  PubMed  Google Scholar 

  14. Janjua KJ, Sugrue M, Deane SA. Prospective evaluation of early missed injuries and the role of tertiary trauma survey. J Trauma. 1998;44(6) discussion 1006-7:1000–6. https://doi.org/10.1097/00005373-199806000-00012.

    Article  CAS  PubMed  Google Scholar 

  15. Wei CJ, Tsai WC, Tiu CM, Wu HT, Chiou HJ, Chang CY. Systematic analysis of missed extremity fractures in emergency radiology. Acta Radiol. 2006;47(7):710–7. https://doi.org/10.1080/02841850600806340.

    Article  PubMed  Google Scholar 

  16. Nazir SA, Benamore R, Gleeson F. Missed lung cancers on the scout view: do we look every time? Case Rep Med. 2013;2013:760543.

    PubMed  PubMed Central  Google Scholar 

  17. Boivin DB, Boudreau P. Impacts of shift work on sleep and circadian rhythms. Pathol Biol (Paris). 2014;62(5):292–301. https://doi.org/10.1016/j.patbio.2014.08.001.

    Article  CAS  Google Scholar 

  18. Knight M, Mather M. Look out-it’s your off-peak time of day! Time of day matters more for alerting than for orienting or executive attention. Exp Aging Res. 2013;39(3):305–21. https://doi.org/10.1080/0361073X.2013.779197.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Vosshenrich J, Brantner P, Cyriac J, Boll DT, Merkle EM, Heye T. Quantifying radiology resident fatigue: analysis of preliminary reports. Radiology. 2021;298(3):632–9. https://doi.org/10.1148/radiol.2021203486.

    Article  PubMed  Google Scholar 

  20. Zhan H, Schartz K, Zygmont ME, Johnson JO, Krupinski EA. The impact of fatigue on complex CT case interpretation by radiology residents. Acad Radiol. 2021;28(3):424–32. https://doi.org/10.1016/j.acra.2020.06.005.

    Article  PubMed  Google Scholar 

  21. Krupinski EA, Schartz KM, van Tassell M, Madsen MT, Caldwell RT, Berbaum KS. Effect of fatigue on reading computed tomography examination of the multiply injured patient. J Med Imaging (Bellingham). 2017;4(3):035504. https://doi.org/10.1117/1.JMI.4.3.035504.

    Article  Google Scholar 

  22. Akerstedt T. Work hours and sleepiness. Neurophysiol Clin. 1995;25(6):367–75. https://doi.org/10.1016/0987-7053(96)84910-0.

    Article  CAS  PubMed  Google Scholar 

  23. Berbaum KS, el-Khoury GY, Ohashi K, Schartz KM, Caldwell RT, Madsen M, et al. Satisfaction of search in multitrauma patients: severity of detected fractures. Acad Radiol. 2007;14(6):711–22. https://doi.org/10.1016/j.acra.2007.02.016.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We would like to thank Prof. R. A. Laun for his support.

Funding

No funding was received. Open Access funding enabled and organized by Projekt DEAL.

Author information

Authors and Affiliations

Authors

Contributions

SK Project development, Data management, Data analysis and interpretation, Manuscript writing. LG Data analysis and management, Manuscript editing. FM Project development, Data collection and analysis, Manuscript writing. DK Data collection, Manuscript editing. MM Data analysis and interpretation, Manuscript editing. AE Project development, Manuscript editing. ST Data analysis, Manuscript editing. ML Data management and interpretation, Manuscript editing. All authors have read and approved the manuscript.

Corresponding author

Correspondence to S. Kim.

Ethics declarations

Ethics approval and consent to participate

The local institutional ethics committee of the University of Greifswald (Ethikkommission an der Universitätsmedizin Greifswald, Greifswald, Germany) approved the study (BB 054/16a) and stated that there are no ethical or legal concerns regarding this study. The decision was based on the Helsinki declaration. The need for consent for the retrospective use of patient data was waived by the institutional ethics committee of the University of Greifswald.

Informed consent was obtained from the radiologists that participated in the study.

Consent for publication

Not applicable for patients.

Consent was obtained from the radiologists that participated in the study.

Competing interests

The authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

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

Supplementary Information

Additional file 1.

Picture sequence combined to a video of an excerpt of the axial WBCT images. On the right patient wrist, a fracture of the pisiform bone can be seen that was found on blinded reassessment. The location of the fracture is marked in Fig. 1.

Additional file 2.

Number of fractures for time of the day of the WBCT. The circles show if the fracture was found after 24 h after submission or during this study (missed). The same diagram is shown with fractures found within 24 h in Fig. 3.

Additional file 3.

Number of cases with fractures for time of the day of the WBCT. The circles show if the fracture was found after 24 h after submission or during this study (missed). If at least one fracture was missed or found after 24 h, the label was set to missed or > 24 h. The same diagram is shown with cases of which all fractures were found within 24 h in Fig. 4.

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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kim, S., Goelz, L., Münn, F. et al. Detection of missed fractures of hand and forearm in whole-body CT in a blinded reassessment. BMC Musculoskelet Disord 22, 589 (2021). https://doi.org/10.1186/s12891-021-04425-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12891-021-04425-z

Keywords