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. 2023 Mar 31;102(13):e33397. doi: 10.1097/MD.0000000000033397

Accuracy of ultrasound for the diagnosis of acute appendicitis in the emergency department: A systematic review

Sung Uk Cho a, Se Kwang Oh a,*
PMCID: PMC10063291  PMID: 37000097

Background:

Point-of-Care Ultrasound (POCUS) is a quick, useful, noninvasive, and inexpensive diagnostic tool used for the diagnosis of trauma, abdominal pain, dyspnea, and chest pain in the emergency department (ED). However, the diagnostic accuracy of ultrasound in the ED may be different from those reported in previous studies owing to the setting and time constraints in ED.

Methods:

We conducted our study in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. A literature search was conducted using databases on US National Library of Medicine’s database of biomedical literature, Ovid MEDLINE, online database of biomedical articles, and the collection of databases of systematic reviews and other evidence. The inclusion criteria were the use of bedside ultrasound as a diagnostic tool for acute appendicitis in the ED and the available data on diagnostic parameters such as sensitivity, specificity, and positive and negative predictive values (NPV). We constructed forest plots and summary receiver operating characteristic curves to evaluate the diagnostic accuracy of bedside ultrasound for acute appendicitis in the ED.

Results:

A total of 21 studies that met the inclusion criteria of this study were included for analysis. The overall pooled sensitivity was 0.81 (95% CI, 0.78–0.83), whereas the pooled specificity was 0.87 (95% CI, 0.85–0.88). However, the I2 test showed 91.7% and 90.9% heterogeneity in the sensitivity and specificity values, respectively. The summary receiver operating characteristic curves showed high levels of accuracy, as evidenced by an area under the curve of 0.9249 (standard error: 0.0180).

Conclusions:

The use of ultrasound for the diagnosis of acute appendicitis in the ED showed that ultrasound has high overall sensitivity and specificity for the diagnosis of acute appendicitis. however, high heterogeneity among the included studies was observed.

Keywords: appendicitis, emergency department, systematic review, ultrasonography

1. Introduction

Acute appendicitis is a severe inflammation of the appendix that requires emergency surgery.[1,2] The sensitivity and specificity of ultrasound for the diagnosis of acute appendicitis range from 75% to 90% and 86% to 95%, respectively.[3,4] Several studies have been conducted to investigate the accuracy of ultrasound for the diagnosis of acute appendicitis; however, the diagnostic accuracies reported in these previous studies vary.[5,6]

Point-of-Care Ultrasound (POCUS) is a quick, useful, noninvasive, and inexpensive diagnostic tool used for the diagnosis of trauma, abdominal pain, dyspnea, and chest pain in the emergency department (ED).[7,8] However, the diagnostic accuracy of ultrasound in the ED may be different from those reported in previous studies owing to the setting and time constraints in ED.[9] Therefore, the aim of this systematic review and meta-analysis was to determine the accuracy of bedside ultrasound for the diagnosis of acute appendicitis in the ED.

2. Materials and methods

2.1. Study design

We systematically reviewed studies on bedside sonography for the diagnosis of acute appendicitis in the ED. This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines.[10]

2.2. Data sources and search strategy

The literature used in this study were extracted from the US National Library of Medicine’s database of biomedical literature, Ovid MEDLINE, online database of biomedical articles, collection of databases of systematic reviews and other evidence, and Google Scholar databases. The following keywords were used in the database search: “ultrasound,” “ultrasonography,” “sonography,” “US,” “USG,” “appendicitis,” “appendix,” “emergency,” “Emergency department,” and “ED.” There were no restrictions on the use of keyword combinations or dates in the title or abstract. However, the search was limited to articles published in English. Two researchers independently conducted each step of this study.

2.3. Eligibility criteria and study selection

Studies on the diagnosis of appendicitis in the emergency room were considered eligible for inclusion into this study. The titles and abstracts of extracted articles were read and the full texts of potentially relevant articles were screened. The inclusion criteria were the use of bedside ultrasound as a diagnostic tool for acute appendicitis in the ED and the available data on diagnostic parameters such as sensitivity, specificity, and positive and negative predictive values (NPV). If ultrasound results were positive, surgical pathology was used as a diagnostic reference for acute appendicitis; if negative, clinical follow-up was used as the diagnostic reference standard. The articles included in this study were selected by 2 or more investigators, and any disagreements were resolved through discussion.

2.4. Assessment of methodological quality

We assessed quality and applicability of each included study using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-II).[11] The QUADAS-II consists of the 4 domains on patient selection, index test, reference standards, and flow and timing, and is designed to be used for the assessment of risk of bias and applicability for each domain by answering 14 questions as “low,” “high,” and “unclear” (Table 1). Two researchers (SKO and SUC) independently assessed each study and resolved discrepancies through discussion. Consensus among the reviewers was quantified using Cohen’s kappa, and discrepancies were resolved through discussion.

Table 1.

The QUADAS-2 tool for the quality assessment of diagnostic accuracy studies.

Item Yes No Unclear
1. Was the spectrum of patients representative of the patients who will receive the test in practice?
2. Were selection criteria clearly described?
3. Is the reference standard likely to correctly classify the target condition?
4. Is the time period between reference standard and index test short enough to be reasonably sure that the target condition did not change between the 2 tests?
5. Did the whole sample or a random selection of the sample, receive verification using a reference standard of diagnosis?
6. Did patients receive the same reference standard regardless of the index test result?
7. Was the reference standard independent of the index test (i.e., the index test did not form part of the reference standard)?
8. Was the execution of the index test described in sufficient detail to permit replication of the test?
9. Was the execution of the reference standard described in sufficient detail to permit its replication?
10. Were the index test results interpreted without knowledge of the results of the reference standard?
11. Were the reference standard results interpreted without knowledge of the results of the index test?
12. Were the same clinical data available when test results were interpreted as would be available when the test is used in practice?
13. Were uninterpretable/intermediate test results reported?
14. Were withdrawals from the study explained?

QUADAS-2 = Quality assessment of diagnostic accuracy studies - second edition.

2.5. Data synthesis and analysis

We extracted basic demographic information and data on diagnostic sensitivity, specificity, positive predictive value, and NPV from each selected study. When statistical synthesis was possible, we used random-effects models for analysis of high or moderate heterogeneity and fixed- and random-effects models for evaluation of low heterogeneity. Heterogeneity was quantified using the I2 test. In addition, we constructed forest plots and summary receiver operating characteristic curves to evaluate the diagnostic accuracy of bedside ultrasound for acute appendicitis in the ED. When the heterogeneity of the overall pooled sensitivity or pooled specificity was high, subgroup analysis of studies in which ultrasound was performed by an emergency physician was performed. Meta-Disc[12] and Review Manager (version 5.3; Cochrane Collaboration, The Nordic Cochrane Centre, Copenhagen, The Netherlands) were used for data input and analysis.

3. Results

3.1. Search results

A total of 426 articles were retrieved during the database search. After screening the articles, 65 duplicates were removed, leaving 361 articles. The titles and abstracts of the remaining 361 articles were read and 306 ineligible articles were excluded. The full articles of the remaining 55 articles were reviewed and those that did not provide information on diagnostic parameters, such as sensitivity, specificity, positive predictive value, and NPV, were excluded. In addition, review articles, case reports, letters, comments, or articles on studies that were not performed by emergency physicians or residents were excluded. Finally, 21 studies that met the inclusion criteria of this study were included for analysis (Fig. 1).

Figure 1.

Figure 1.

Flowchart of the selection process of included studies.

3.2. Study characteristics and quality assessment

3.2.1. Assessment of methodological quality.

Information on the total number of enrolled patients, first author, journal name, year of publication, sample size, mean age, study design, clinician who performed the ultrasound, and primary data outcomes, including true positives, false positives, true negatives, and false negatives, extracted from all included studies are shown in Table 2.[1333]

Table 2.

Characteristics of the included studies.

Yr Author Journal Sample size Mean age (yr) Study design Operator TP FP FN TN Sensitivity Specificity PPV (%) NPV (%)
2021 Becker[13] Acade Emerg Med 256 19 Prospective EM physician 61 68 11 116 85.0 63.0 47.3 91.3
2018 Doniger[15] Pediatric Emergency Care 40 9.3 (Ped) Prospective EM physician 15 3 1 21 93.8 87.5 83.3 95.5
2018 Shahbazipar[14] European Journal of Emergency Medicine 121 33.6 Prospective EM residents 29 1 17 74 63 99 97 81
2018 Sharif[16] CJEM 90 NA Retrospective EM physician or resident 18 6 8 58 69.2 90.6 75.0 87.9
2017 Karimi[17] Emergency 108 23.91 (all) Prospective EM physician 27 12 10 59 80.0 83.1 69.2 85.5
2017 Gungor[18] Acad Emerg Med 264 30.0 (adult) Prospective EM physician 156 4 13 91 92.3 95.8 97.5 87.8
2016 Ünlüer [19] World J Emerg Med 100 32.9 Prospective EM physician 34 18 12 36 73.9 66.7 65.4 75.0
2016 Topin[20] The Journal of Emergency Medicine 100 33.2 (all) Prospective EM physician 22 3 3 72 88 96 88 96
2015 Fathi[21] J Ultrasound 97 34.35 (all) Prospective EM physician or resident 19 8 24 46 44.2 85.2 70.4 65.7
2015 Kim[22] American Journal of Emergency Medicine 115 NA (ped) Prospective EM physician or resident 33 8 3 71 91.7 89.9 80.5 95.6
2015 Mallin [23] Am J Emerg Med 97 28 Prospective EM physician or resident 23 1 11 62 67.6 98.4 95.8 84.9
2015 Kim[24] Hong Kong Journal of Emergency Medicine 166 10.6 (ped) retro EM physician 40 0 0 126 100 100 100 100
2014 Sivitz[25] Annals of Emergency Medicine 264 10.2 (Ped) Prospective EM physician 72 13 13 166 84.7 92.7 84.7 92.7
2014 Elikashvili[26] Acade Emerg Med 150 12 (Ped) Prospective EM physician 30 5 20 95 60.0 95.0 85.7 82.6
2014 Lam [27] Western Journal of Emergency Medicine 52 20.2 Prospective EM physician 33 13 0 6 100 31.6 71.7 100
2013 Lin [28] Iran J Pediatr 155 6 (Ped) retro EM physician 108 10 4 33 96.4 76.7 91.5 89.2
2008 Fox[29] European Journal of Emergency Medicine 126 NA Prospective EM physician 37 7 20 62 64.9 89.9 84.0 75.6
2007 Fox[30] The California Journal of Emergency Medicine 155 NA Retrospective EM physician or resident 27 9 42 77 39.1 90.0 75.0 64.7
2007 Siu [31] Hong Kong Journal of Emergency Medicine 85 31.6 Prospective EM physician 18 9 11 47 62.1 83.9 66.7 81.0
2000 Chen[32] American Journal of Emergency Medicine 147 37.1 (all) Prospective EM physician 106 12 4 25 96.3 67.6 90.0 86.2
1998 Oh[33] J Korean Soc Emerg Med 47 34.8 Prospective EM resident 40 0 2 5 89.3 100 100 71.4

FN = false negative, FP = false positive, NA = not available, NPV = negative predictive value, PPV = positive predictive value, TN = true negative, TP = true positive.

The mean QUADAS-II score was 9.8 points (range: 6–13). The agreement between the QUADAS-II scores recorded by the 2 investigators was good (k = 0. 61). Figure 2 shows the high, medium, and low ratios of the risk of bias in the included studies for each of the 7 items of the QUADAS-II. The overall risk of bias and applicability were low.

Figure 2.

Figure 2.

Summary results of quality assessment using the QUADAS-2 instrument. Risk of bias graph about each risk of bias item is presented as percentages (Green; low risk of bias, red: high risk of bias, yellow: unclear risk of bias).

3.2.2. Comparison of diagnostic accuracy.

Forest plots for the comparison of sensitivity, specificity, and confidence intervals (CIs) in each study are shown in Figure 3. The overall pooled sensitivity was 0.81 (95% CI, 0.78–0.83), whereas the pooled specificity was 0.87 (95% CI, 0.85–0.88). However, the I2 test showed 91.7% and 90.9% heterogeneity in the sensitivity and specificity values, respectively. The summary receiver operating characteristic curves showed high levels of accuracy, as evidenced by an area under the curve of 0.9249 (standard error: 0.0180) and a Q-value of 0.8591 (standard error: 0.0211) (Fig. 4).

Figure 3.

Figure 3.

Forest plots for sensitivity and specificity of all included studies. Each study is identified by name of first author and year of publication. Horizontal lines represents 95% confidence intervals (CIs).

Figure 4.

Figure 4.

Summary receiver operating characteristics curve of sensitivity and specificity of ultrasonography for diagnosis of acute appendicitis in emergency department. AUC: area under curve, SE: standard error, Q*: point at which sensitivity and specificity are equal.

3.2.3. Subgroup analysis.

Subgroup analysis of studies in which an emergency medicine physician performed the ultrasound was conducted. Forest plots of the comparison of the sensitivity, specificity, and CIs reported in each study included in this subgroup analysis are shown in Figures 5 and 6. The results of the subgroup analysis indicated that the pooled sensitivity was 0.86 (95% CI, 0.84–0.88), whereas the pooled specificity was 0.84 (95% CI, 0.82–0.86). However, the I2 test showed 88.4% and 93% heterogeneity in the sensitivity and specificity values, respectively.

Figure 5.

Figure 5.

Forest plots for sensitivity and specificity for subgroup performed by emergency physicians. Each study is identified by name of first author and year of publication. Horizontal lines represents 95% confidence intervals (CIs).

Figure 6.

Figure 6.

Summary receiver operating characteristics curve of sensitivity and specificity for subgroup performed by emergency physicians. AUC: area under curve, SE: standard error, Q*: point at which sensitivity and specificity are equal.

3.2.4. Publication bias.

A funnel plot was constructed to assess potential publication bias (Fig. 7). The funnel plot showed an asymmetric shape, indicating a potential for various types of biases such as search bias, publication bias, and selection bias in ultrasound-based diagnosis of acute appendicitis in the ED.

Figure 7.

Figure 7.

Funnel pot analysis on the detection of publication bias. The funnel plot displays an asymmetrical distribution of the studies included.

4. Discussion

It is difficult for emergency physicians to diagnosis acute appendicitis because diagnosis based on clinical evaluation alone has a sensitivity of 39% to 74% and a specificity of 57% to 84%.[34] The imaging method most commonly used for the diagnosis of acute appendicitis is computed tomography. Computed tomography has been reported to have a high sensitivity of 91% to 98.5% and a specificity of 90% to 98% in the diagnosis of acute appendicitis.[35,36] However, in crowded ED, time is critical and rapid disposition is crucial; thus, computed tomography may not be performed effectively.

Delayed diagnosis of appendicitis, which can lead to perforation, is the leading cause of morbidity and mortality in patients.[37] The use of ultrasonography for the diagnosis of appendicitis is safe and cost-effective, and does not present any risk of radiation exposure.[38] Several studies have shown that the use of bedside ultrasound in the ED is helpful in the diagnosis of acute appendicitis. Since most ED already have ultrasound machines, bedside ultrasound in the ED is fast, noninvasive, and safe. Several reports have shown that ultrasonography has high sensitivity, specificity, and accuracy in the differential diagnosis of acute appendicitis.[39,40] However, this may be different in a busy ED or acute care setting, especially if the healthcare staff performing the procedure is not a radiologist. This is because a normal appendix is generally filled with air, making it more difficult to view with ultrasound than a pathological appendix. In addition, learning how to perform an ultrasound may be more difficult than learning other procedures, leading to differences in accuracy depending on the examiner.

Several meta-analyses have been conducted to evaluate the use of ultrasound for the diagnosis of acute appendicitis. Terasawa et al reported that the sensitivity and specificity of ultrasound for the diagnosis of acute appendicitis in their study were 86% and 81%, respectively, and that computed tomography was more accurate than ultrasound in the diagnosis of acute appendicitis.[41] In addition, Yu et al analyzed a Korean study and reported that the sensitivity and specificity of ultrasound for the diagnosis of acute appendicitis in their study were 86.7% and 90.0%, respectively.[42] Field et al conducted a meta-analysis of 21 studies on the diagnosis of acute appendicitis using ultrasound. The results of their study indicated that the sensitivity and specificity of POCUS for the diagnosis of appendicitis were 91% (95% CI = 83%–96%) and 97% (95% CI = 91%–99%), respectively.[43] Lee et al conducted a meta-analysis of 17 studies on the use of POCUS for the diagnosis of acute appendicitis, and reported that the pooled sensitivity of POCUS for the diagnosis of acute appendicitis was 84% (95% CI: 72%–92%), whereas the pooled specificity was 91% (95% CI: 85%). In addition, they reported that ultrasound showed significantly better diagnostic performance for pediatric acute appendicitis (sensitivity, 95%; 95% CI, 75%–99%; specificity, 95%; 95% CI, 85%–98%).[44]

The present study was focused on the use of ultrasound for the diagnosis of acute appendicitis in ED. Subgroup analysis of the included studies in which ultrasound was performed by an emergency physician was conducted. Overall, the pooled sensitivity and pooled specificity values for all the included studies and those in the above-mentioned subgroup were similar; however, high heterogeneity was observed in both results. The high heterogeneity in the specificity and sensitivity values reported in the included studies may be because the accuracy of ultrasonography is highly dependent on the skill of the clinician.[45]

Formal ultrasound in the radiology department generally shows high accuracy in diagnosing appendicitis, with reported accuracy rates of over 85%. However, results can be uncertain when ultrasound is performed by a nonexpert physician. The POCUS is performed directly by skilled experts and has shown a similar accuracy to traditional radiologist-conducted ultrasound in multiple studies, leading to higher reliability.[4145] Ultimately, both POCUS and formal ultrasound in the radiology department have their respective strengths and weaknesses, and either may be preferred depending on the situation. If there is a stand-alone radiology unit in the ED where ultrasounds can be performed directly by radiologists, this may address the issue of delays and compensate for the limitations of POCUS.

This study had several limitations. First, it was difficult to determine the degree of bias in each study using the quality evaluation results because details on the history of the subjects, exclusion criteria, purpose of the screening test, and blinding were not clearly presented. Second, the degree of experience and education of the clinicians who performed ultrasound in the included studies was not investigated. Third, limiting the language of the included studies to English may have introduced some publication bias in the study. In addition, the study selection process was performed by only 1 reviewer, which may have resulted in missing some relevant studies. Fourth, since the funnel plot of the studies included in this analysis showed an asymmetrical distribution, there is a possibility of publication bias. There is also a possibility that studies reporting low sensitivity/specificity were not published, which may have led to an overestimation of the true effect size in the meta-analysis. Finally, many of the studies included did not clearly explain the diagnostic method used to evaluate nonvisualized appendixes or appendixes with uncertain findings. Moreover, the reference standards for the diagnosis of appendicitis varied across the studies, and descriptions of follow-ups and additional tests were ambiguous in some cases, which may have led to lower reported sensitivities and specificities for POCUS in actual practice.

5. Conclusion

This systematic review and meta-analysis of studies on the use of ultrasound for the diagnosis of acute appendicitis in the ED showed that ultrasound has high overall sensitivity and specificity for the diagnosis of acute appendicitis; however, high heterogeneity among the included studies and potential publication bias were observed. Therefore, additional tests are necessary when the POCUS result is positive, to establish a final diagnosis. It is also important to acknowledge the limitations and constraints of POCUS examination, and to interpret test results carefully and professionally.

Author contributions

Conceptualization: Se Kwang Oh.

Data curation: Sung Uk Cho, Se Kwang Oh.

Formal analysis: Sung Uk Cho.

Investigation: Se Kwang Oh.

Methodology: Se Kwang Oh.

Project administration: Sung Uk Cho.

Supervision: Se Kwang Oh.

Visualization: Sung Uk Cho.

Writing – original draft: Sung Uk Cho.

Writing – review & editing: Se Kwang Oh.

Abbreviations:

ED
emergency department
NPV
negative predictive value
POCUS
point-of-care ultrasound

The authors have no funding and conflicts of interest to disclose.

All data generated or analyzed during this study are included in this published article [and its supplementary information files].

How to cite this article: Cho SU, Oh SK. Accuracy of ultrasound for the diagnosis of acute appendicitis in the emergency department: A systematic review. Medicine 2023;102:13(e33397).

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