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Deep venous thrombosis (DVT) diagnostics: gleaning insights from point-of-care ultrasound (PoCUS) techniques in emergencies: a systematic review and meta-analysis

Abstract

Background

The assessment of deep venous thrombosis (DVT) is clinically difficult diagnosis. The “gold standard test” for DVT diagnosis is venography; however, various point-of-care ultrasound (POCUS) protocols have been suggested for DVT evaluation in the emergency department.

Aims

This review evaluated the role of different POCUS protocols in diagnosing DVT in the emergency department.

Methods

A systematic review and meta-analysis was conducted based of PRISMA guideline and registered on PROSEPRO (CRD42023398871). An electronic database search in Embase, PubMed, ScienceDirect, and Google scholar and a manual search were performed to identify eligible studies till February 2023. Quality Assessment of Diagnostic Accuracy Studies tool (QUADAS-2) was used to assess the risk of bias in included studies. Quantitative analysis was carried out using STATA 16 and Review Manager software (RevMan 5.4.1). Sensitivity, specificity of POCUS protocols for DVT diagnosis compared to reference standard test was calculated.

Results

Heterogeneity was identified between 26 included studies for review. The pooled sensitivity, specificity, PPV, and NPV for the 2-point POCUS protocol were 92.32% (95% CI: 87.58–97.06), 96.86% (95% CI: 95.09–98.64), 88.41% (95% CI: 82.24–94.58) and 97.25% (95% CI: 95.51–98.99), respectively. Similarly, the pooled sensitivity, specificity, PPV, and NPV for 3-point POCUS were 89.15% (95% CI: 83.24–95.07), 92.71% (95% CI: 89.59–95.83), 81.27% (95% CI: 73.79–88.75), and 95.47% (95% CI: 92.93–98). The data pooled for complete compression ultrasound, and whole-leg duplex ultrasound also resulted in a sensitivity and specificity of 100% (95% CI: 98.21–100) and 97.05% (95% CI: 92.25–100), respectively. On the other hand, the time from triage to DVT diagnosis was significantly shorter for emergency physician-performed POCUS than diagnostic tests performed by radiologists.

Conclusion

The diagnostic performance of POCUS protocols performed by emergency physicians was excellent. Combined with the significant reduction in time to diagnosis. POCUS can be used as the first-line imaging tool for DVT diagnosis in the emergency department. We also recommended that attending emergency physicians with POCUS training are present during DVT diagnosis to improve diagnostic performance even though high diagnostic performance is observed even with the minimum training.

Introduction

Deep venous thrombosis (DVT) is an obstructive disease that hinders the mechanism of venous reflux. It is one of the common venous thromboembolic (VTE) disorders, with an incidence rate of 1.6 per 1000 yearly [1]. The cause of DVT is usually associated with the following risk factors; reduced blood flow as a result of immobility (bed rest, general anesthesia, operations, strokes, and long flights) [2, 3], increased venous pressure due to mechanical compression or functional impairments [4], mechanical injury to the vein such as trauma, surgery, peripherally inserted catheters and intravenous drug abuse [5] and increased blood viscosity due to polycythemia rubra vera, thrombocytosis and dehydration [6]. The diagnosis of DVT in the emergency department (ED) should be fast and accurate to avoid the clinical progression to pulmonary embolism, the most feared complication leading to a high mortality rate of these patients [7].

The clinical diagnosis of DVT is difficult; thus, imaging is usually required. Venography is considered the gold standard for DVT diagnosis; however, over the past 20 years, multiple point-of-care ultrasound (POCUS) protocols for DVT evaluation have been developed. The most common protocols are the 2-point and 3-point compression techniques. The 2-point technique, which is commonly used, tests the compressibility of the common femoral vein (CFV) and the popliteal vein (PV), while the 3-point technique involves testing the CFV, superficial femoral vein (SFV), and PV compressibility. Other protocols used in DVT diagnosis include the complete proximal leg compression technique, which involves the compression of every 1–2 cm along the entire visible length of CFV and PV, and the whole-leg compression technique, which involves compressing the calf veins alongside the CFV and PV. However, these protocols consume more time than the 2 and 3-point protocols [8].

The main aim of this systematic review and meta-analysis was to assess the diagnostic performance of POCUS protocols used to diagnose DVT and carried out in the emergency department (ED) or by emergency physicians (EP).

Methodology

Protocol and registration

This systematic review and meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guiding principles and protocol registered on PROSPERO article (CRD42023398871).

Data sources and search strategy

The Embase, PubMed, ScienceDirect, and Google scholar databases were scoured for scientific articles published between January 1, 2000, and February 2023. The search involved combining keywords such as Deep vein thrombosis and point-of-care ultrasound with the Boolean expressions “AND” and “OR” to form a detailed search strategy. Furthermore, additional studies were identified by snowballing and hand searching of key medical journals. Full details about the search strategy employed in each electronic database is outlined in Appendix A.

Study selection

The search was restricted to studies on humans and published in English. For studies to be eligible for inclusion, two reviewers had to ensure that they fulfilled the following criteria.

  1. 1.

    Studies designed as either observational or randomized trials.

  2. 2.

    Studies evaluating different protocols of POCUS in the diagnosis of DVT.

  3. 3.

    Studies in which the diagnosis was carried out by an emergency physician or in the emergency department.

  4. 4.

    Studies reporting at least one of the following results; specificity, sensitivity, negative predictive value (NPV), positive predictive values (PPV), or time to DVT diagnosis.

Studies were excluded for the following reasons;

  1. 1.

    Studies that only assessed the POCUS protocols for DVT diagnosis in the radiology department or by a radiologist.

  2. 2.

    Studies designed as either systematic reviews and meta-analyses, case reports, letters to the editor, or guidelines.

  3. 3.

    Studies with less than 50 participants. This criterion was critical in ensuring that the statistical power of our meta-analysis was upheld.

Data extraction

Two reviewers tasked with data extraction compiled all the relevant data from the included studies in (Table 1). The data compiled included Author ID (first author’s surname and the year of publishing), study design, location of the trial or study, participants’ characteristics including the sample size, gender distribution, and mean age, the ultrasound machine used, the reference standard for DVT diagnosis and main outcomes. The main outcomes retrieved for use in the current study were specificity, sensitivity, NPV, and PPV values, while the secondary outcomes were time from triage to DVT diagnosis. Discrepancies in the extracted data were reconciled through a discussion between the two reviewers or by consulting a third reviewer.

Table 1 Study characteristics

Quality assessment

The risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool provided in the Review Manager software (RevMan 5.4.1). This framework consists of 2 categories (Assessment of bias and applicability concerns). The risk of bias category is further subdivided into four domains which include patient selection, index test, reference standard, and flow and timing, while the applicability concerns is subdivided into patient selection, index test, and reference standard.

Data synthesis

STATA 16 software was used in the calculation of the overall specificity, sensitivity, PPV, and NPV values, while the RevMan software was utilized in the analysis of the overall effect of POCUS in time from triage to DVT diagnosis. The DerSimonian-Laird random effect model was implemented when pooling both the primary and secondary outcomes since it has the ability to take into account the expected heterogeneity. The summarized estimates of POCUS were then plotted forest plots for each outcome. Heterogeneity was also calculated using the I2 statistics, of which the values were categorized as follows; 0–40%, low heterogeneity; 41–60%, moderate heterogeneity; and 61–100, substantial heterogeneity. Further analysis was done to check for the significance, of which a p-value of less than 5% (p < 0.05) was considered significant statistically. Additionally, a meta-regression analysis was carried out to identify sources of heterogeneity. In the regression analysis, we classified the level of training into experienced and inexperienced. Inexperienced was used to refer to emergency physicians (EP) who received POCUS training for less than three months, while experienced referred to EP who received POCUS training for more than three months or those who had carried out a sufficient number of POCUS examinations before the trial (at least 50 previous POCUS exams).

Results

Study selection

A total of 1623 articles were identified and screened. These articles first underwent a duplicate check, of which 408 were deemed close or exact duplicates and excluded. The remaining 1215 articles were screened by going through the titles and abstracts, of which 312 were excluded. Out of the 903 articles remaining, we did not retrieve 834 because they were either article published before 2000, abstracts without full articles, diagnostic algorithm studies, case reports, and systematic reviews. Finally, we included only 26 studies [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34] while the other studies were excluded as follows; 3 were observational studies published in different languages, 34 were studies carried out in the radiology department, and 6 did not evaluate either one of the main or secondary outcomes of this review. The complete literature selection is presented in the PRISMA diagram below (Fig. 1).

Fig. 1
figure 1

PRISMA flow diagram for study selection

Quality assessment results

The risk of bias assessment results are summarized in Figs. 2 and 3 below. Overall, the QUADAS-2 tool revealed that all studies had a low risk of bias and low concern since the studies satisfied at least four of the 7 evaluation criteria. In regard with patient selection, we noticed most of the studies had an unclear risk bias since they employed the convenience sampling method rather than consecutive sampling. However, a low concern was associated with the patient selection. Similarly, most of the studies had an unclear risk of bias about the flow and timing because they did not specify the interval between POCUS and reference tests. Three studies showed a high risk of bias about flow and timing since they evaluated more than one reference tests. All the domains in the applicability section showed a low concern.

Fig. 2
figure 2

QUADAS-2 bias assessment summary

Fig. 3
figure 3

Risk of bias and applicability concerns graph

Diagnostic performance of 3-point POCUS for DVT

Twelve studies including 1662 patients with suspected DVT, used the 3-point compression protocol for diagnosis. The pooled data from these studies resulted in 89.15% (95% CI: 83.24–95.07) sensitivity, 92.71% (95% CI: 89.59–95.83) specificity, 81.27% (95% CI: 73.79–88.75) PPV and 95.47% (95% CI: 92.93–98) NPV for the diagnosis of DVT (Figs. 4, 5, 6, 7).

Fig. 4
figure 4

Forest plot of pooled Sensitivity of 3-point POCUS in diagnosing DVT

Fig. 5
figure 5

Forest plot of pooled Specificity of 3-point POCUS in diagnosing DVT

Fig. 6
figure 6

Forest plot of pooled PPV of 3-point POCUS in diagnosing DVT

Fig. 7
figure 7

Forest plot of pooled NPV of 3-point POCUS in diagnosing DVT

Diagnostic performance of 2-point POCUS for DVT

The 2-point Compression technique was employed in 12 studies which included 1689 patients suspected to have DVT. The pooled sensitivity, specificity, PPV, and NPV for the diagnosis was 92.32% (95% CI: 87.58–97.06), 96.86% (95% CI: 95.09–98.64), 88.41% (95% CI: 82.24–94.58) and 97.25% (95% CI: 95.51–98.99), respectively (Figs. 8, 9, 10, 11).

Fig. 8
figure 8

Forest plot of pooled Sensitivity of 2-point POCUS in diagnosing DVT

Fig. 9
figure 9

Forest plot of pooled Specificity of 2-point POCUS in diagnosing DVT

Fig. 10
figure 10

Forest plot of pooled PPV of 2-point POCUS in diagnosing DVT

Fig. 11
figure 11

Forest plot of pooled NPV of 2-point POCUS in diagnosing DVT

Diagnostic performance of Other POCUS protocols

Only two studies in this review evaluated other POCUS protocols (Complete compression ultrasound and whole-leg duplex ultrasound) for DVT diagnosis in the ED. The pooled data from these studies yielded a sensitivity and specificity of 100% (95% CI: 98.21–100) and 97.05% (95% CI: 92.25–100), respectively.

Time from triage to diagnosis

Three studies employing the 3-point protocol and one utilizing the 2-point protocol reported the time taken to make a diagnosis from triage. The pooled data shows that the time taken from triage to diagnosis was significantly shorter when the emergency physicians carried out the 3-point and 2-point POCUS compared to the reference tests carried out by radiologists (SMD: -1.52; 95% CI: -1.88, 1.15) (Fig. 12). All data related to time was represented in minutes.

Fig. 12
figure 12

A forest plot showing time from triage to DVT diagnosis

Meta-regression analysis

The meta-analysis results for 2 and 3-point POCUS have shown high heterogeneity; therefore, a regression analysis was conducted to identify the sources of heterogeneity. The analysis showed that the heterogeneity in the specificity of the 3-point POCUS was contributed by the type of reference test used (p = 0.0237), while the significant source of heterogeneity in sensitivity was the initial POCUS performer (p = 0.0194). In the 2-Point POCUS protocol, the only identified considerable source of heterogeneity was the number of emergency physicians conducting the tests. The other covariates, including the level of POCUS training, the continent from which the study was conducted, and the sampling method, did not show any significant impact on either POCUS protocol (Table 2).

Table 2 Meta-regression analysis of the potential sources of heterogeneity

Discussion

DVT presents a significant healthcare burden; therefore, early diagnosis and the initiation of anticoagulant therapy are essential to reduce the risk of morbidity and mortality as well as prevent complications [35]. Contrast venography is usually considered the “gold standard” for DVT diagnosis; however, point-of-care compression ultrasound is currently regarded as the first-line imaging tool in the emergency department since it is more safe, cost-effective, and non-invasive [36, 37]. The current study shows that both 2 and 3-point POCUS have high sensitivity, specificity, PPV, and NPV for DVT diagnosis. Compared to the 2-point and 3-point ultrasound techniques, the pooled data for other POCUS protocols (Complete compression ultrasound and whole-leg duplex ultrasound) seem to result in higher sensitivity and specificity. Furthermore, our analysis shows that the time from triage to DVT diagnosis when using POCUS in the emergency department is significantly reduced compared to when reference tests are carried out in the radiology department.

The diagnostic results reported in our study are supported by a more recent meta-analysis that compared 2-point and 3-point POCUS and had fewer included studies than ours. The results of that meta-analysis showed high sensitivity and specificity for both 3-point (90% and 95%) and 2-point POCUS (91% and 98%) [38]. Similarly, a previous meta-analysis pooling data for all POCUS protocols (Complete compression ultrasound, 2-point, and 3-point) reported sensitivity and specificity of 95% and 96%, respectively [39]. In addition, a meta-analysis evaluating the accuracy of EP-performed ultrasound reported the ultrasound was able to diagnose DVT with a 94.8% weighted mean sensitivity and 96.2% weighted mean specificity [40]. Despite all these results pointing to high sensitivity and specificity, it should be noted that high heterogeneity exists. Therefore, these findings should be interpreted with caution. We also noticed that some included studies recorded relatively low specificity and sensitivity values. For example, Abbasi and colleagues recorded as low as 41.2% sensitivity for DVT diagnosis [10]. The low accuracy reported in this study was attributed to the fact the POCUS was carried out by second-year emergency residents who had low hours of training. Similarly, Zitek and colleagues recorded a 57.1% sensitivity when using the 2-point protocol [32]. The low sensitivity was also attributed to the fact the operators of that study were less experienced and skilled in ultrasound.

Since training level has been attributed to low diagnostic performance, it is essential to discuss the role of education when carrying out POCUS to diagnose DVT. Our regression analysis showed that the level of training was not a significant source of heterogeneity in the specificity and sensitivity analysis. Moreover, the pooled data shows that POCUS performed by both experienced and inexperienced EP has comparable specificity and sensitivity. However, research shows that inadequate training could result in omission errors, where DVT may not be treated when it is falsely excepted, and commission errors, where anticoagulant therapy is initiated when DVT is falsely confirmed [40]. Even though the exact training and experience required to diagnose DVT is uncertain, The American College of Emergency Physicians guidelines suggests that for clinical decision-making, POCUS training should be done for at least over a two-day course [41]. Furthermore, Blaivas reported that 10 min of training is insufficient for DVT diagnosis but reiterated that when emergency physicians are trained properly, they can accurately diagnose DVT in the emergency department [42]. To support this hypothesis, Blavais and colleagues later reported that 2-h didactic education followed by hands-on training for three hours and previous experience on POCUS has a very high correlation with vascular studies (0.9 kappa and 98% (95% CI: 95.4–100%) agreement). However, the education curriculum currently varies. For this reason, Fox and colleagues called for more uniform and universal training of EP to use POCUS in DVT diagnosis [43].

Our meta-analysis results have also shown that POCUS is advantageous in reducing the time from triage to DVT diagnosis compared to reference tests in the radiology department. These results are reinforced by a Malaysian study of 63 patients, which reported that bedside ultrasound significantly shortened the time between ED arrival and confirmation of DVT (2.24 ± 0.43 h and 17.28 ± 4.77 h, p < 0.001) [44]. In addition, studies claim that POCUS can improve the time to disposition (being discharged from the ED or Hospital). Seyedhosseini and colleagues reported that the time between triage and the disposition of patients was significantly shorter for patients in the emergency department POCUS group compared to the radiologist group (69 min (28–138) vs. 142 min (91–233), respectively; p < 0.001). Similarly, Chu and colleagues reported a significantly shorter disposition time when using bedside ultrasound (p < 0.001) [44]. On the other hand, El-Gazzar and colleagues reported that the time EP took to diagnose DVT was significantly shorter as opposed to the time taken by a radiologist (6.68 ± 1.81 vs. 5.76 ± 1.62 min, respectively; p < 0.001) [20]. Similarly, zitek and colleagues reported that ultrasounds carried out in the ED were completed 84 min before the ultrasound in the radiology department was made available [32]. The significant reduction in time to diagnosis and disposition in ED-performed POCUS reported in these studies can be attributed to the fact that ultrasound devices are usually readily available in the ED for 24 h.

Point-of-care compression ultrasound in DVT diagnosis is also subject to various pitfalls. The first limitation is the location of DVT. Research shows that the 2 and 3-point POCUS protocols cannot diagnose calf vein thrombosis, but whole-leg compression ultrasound carried out in the radiology department can. This means that the 2 or 3-point compression can miss to diagnose some DVTs that would have been detected when using the whole-leg compression technique. However, previous research suggests that the 2-point compression protocol may be as sensitive as the complete compression in diagnosing DVT from the inguinal ligament up to the calf [45]. In addition, DVT in the bedside ultrasound can be mistaken for a Baker’s Cyst or lymph nodes; therefore, it is essential that landmarks such as ensuring the vein is usually closer to the artery are identified. Lymph nodes have also been mistaken for the common femoral vein, thus increasing the rate of false negatives. For instance, Zitek and colleagues reported that a total of 22 false negatives were observed when carrying out the 2-point POCUS, of which one false negative was attributed to the fact that the resident sonographer mistook the lymph node for the common femoral vein, thus contributing to the low sensitivity [32].

In addition, the acute clot has been mistaken for chronic clots. Research shows that an abnormal compression ultrasound may continue to be seen in up to 70% of DVT patients after one year [46]. The thrombus age is usually inferred from the clot echogenicity, of which older clots tend to be more echo dense. However, this skill is generally left to radiologists with advanced skills. Another common error not reported in many studies is inadequate visualization of the popliteal vein. Zitek and colleagues reported that 8 of the 22 false negatives resulted from inadequate popliteal vein visualization [32]. The videos analyzed in that study showed that most residents had mistaken the popliteal vein with the superficial vein. Moreover, one of the residents had mistaken the popliteal vein with a hyperechoic thrombus for the tibial vein. Given this high-frequency error, ultrasound educators should keenly ensure that the learners understand the popliteal vein to help avoid this error in future and improve the diagnostic performance of POCUS.

In the evaluation of DVT, an accurate determination of the pre-test probability for a clot is also crucial. The widely accepted guidelines have recommended using validated scores and D-dimer in evaluating the likelihood of DVT diagnosis among patients bestowing indicative symptoms [47]. As reported in our previous case report of a 51-year-old male with type 2 diabetes and hypertension, after D-dimer testing was done, a clinical judgment suspected DVT as one of the differential diagnoses; thus, doppler ultrasound was carried out and found a distended and non-compressible intramuscular calf muscle which was suggestive of acute thrombosis[48]. Research also shows that using algorithms that incorporate pre-test probability assessment with a sensitive D-dimer test reduces the number of imaging studies carried out [49, 50]. The most commonly validated score system is the Well’s scoring system, of which a ≥ 2 score is indicative of a high pre-test probability of DVT. Studies incorporating a POCUS protocol with Well’s scores and D-dimer testing seem to have a high diagnostic performance. For instance, in the study by Garcia and colleagues, the 3-point ultrasound was led by a well’s criteria and D-dimer testing, and this led to high sensitivity, specificity, and accuracy of 93.2%, 90%, and 91.7%, respectively[9]. Similarly, an Egyptian study conducted the Well’s criteria and D-dimer testing before the 3-point POCUS and found that the sensitivity, specificity, and accuracy of POCUS examination for DVT diagnosis were high (94.12%, 92.42%, and 93.0%, respectively)[20].

Compared to the most recent systematic review and meta-analysis [38] and other two previous meta-analyses [39, 40], our study has more number and most recent studies that assess the role of POCUS in DVT diagnosis. Unlike the study by Lee et al. [38], we were able to evaluate the effect of the level of training on the observed heterogeneity. Our regression analysis showed that the level of training did not contribute to the heterogeneity, and the sensitivity and specificity of both experienced and inexperienced was comparable. This indicates that even EP with the most miniature training can diagnose DVT using POCUS with a certain degree of accuracy. However, the regression analysis also showed that the presence of emergency medicine (EM) attending significantly contributed to heterogeneity, and the pooled specificity was always higher when the EM attending was present. This is to show that even though low training levels can give good outcomes, to obtain better outcomes, it is essential that EM attendings with POCUS experience are present during the POCUS examinations.

Limitations

The current review was subject to several limitations. First, the eligibility criteria only allowed the inclusion of English-published studies, thus introducing selection bias in our analysis. Secondly, the meta-analysis results showed high heterogeneity; however, the risk of bias assessment revealed a low risk of bias, meaning that the bias did not influence our results. Thirdly, in the meta-regression analysis, we classified the training levels as either experienced or inexperienced and found that the level of training did not influence the heterogeneity. However, the number of hours to train the EP varied from study to study, which, if analyzed, might result in significant heterogeneity. Lastly, very few studies have evaluated the diagnostic performance of the whole-leg compression and complete compression techniques in the emergency department despite our results pointing out that the sensitivity and specificity are higher compared to those of 2-point and 3-point compression techniques. Therefore, further studies should be carried out to support this evidence fully.

Conclusion

The current meta-analysis has shown that the 2-point, 3-point, complete compression ultrasound, and whole-leg duplex POCUS protocols are excellent in diagnosing DVT in the emergency department. Combining the high diagnostic performance with the fact that POCUS significantly reduces the time from triage to DVT diagnosis, we can recommend that POCUS be utilized as the first-line imaging tool for diagnosing DVT in the emergency department. We also recommend that attending EPs with POCUS experience are present during the DVT diagnosis for better diagnostic performance despite high performance being observed in EPs with less POCUS training.

Availability of data and materials

All data and materials available online or included in the manuscript.

References

  1. Albricker ACL, Freire CMV, Santos SND et al (2022) Joint guideline on venous thromboembolism 2022. Arq Bras Cardiol 118:797–857. https://doi.org/10.36660/abc.20220213

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Liu Z, Tao X, Chen Y, Fan Z, Li Y (2015) Bed rest versus early ambulation with standard anticoagulation in the management of deep vein thrombosis: a meta-analysis. PLoS ONE 10:e0121388. https://doi.org/10.1371/journal.pone.0121388

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Belcaro G, Cornelli U, Dugall M, Hosoi M, Cotellese R, Feragalli B (2018) Long-haul flights, edema, and thrombotic events: prevention with stockings and Pycnogenol® supplementation (LONFLIT Registry Study). Minerva Cardiol Angiol. 66:152–159. https://doi.org/10.23736/S0026-4725.17.04577-7

    Article  Google Scholar 

  4. Prins MH, Lensing AWA, Brighton TA et al (2014) Oral rivaroxaban versus enoxaparin with vitamin K antagonist for the treatment of symptomatic venous thromboembolism in patients with cancer (EINSTEIN-DVT and EINSTEIN-PE): a pooled subgroup analysis of two randomised controlled trials. Lancet Haematol 1:e37-46. https://doi.org/10.1016/S2352-3026(14)70018-3

    Article  PubMed  Google Scholar 

  5. Ruskin KJ (2018) Deep vein thrombosis and venous thromboembolism in trauma. Curr Opin Anaesthesiol 31:215–218. https://doi.org/10.1097/ACO.0000000000000567

    Article  PubMed  Google Scholar 

  6. Vayá A, Suescun M (2013) Hemorheological parameters as independent predictors of venous thromboembolism. Clin Hemorheol Microcirc 53:131–141. https://doi.org/10.3233/CH-2012-1581

    Article  CAS  PubMed  Google Scholar 

  7. Calder KK, Herbert M, Henderson SO (2005) The mortality of untreated pulmonary embolism in emergency department patients. Ann Emerg Med 45:302–310. https://doi.org/10.1016/j.annemergmed.2004.10.001

    Article  PubMed  Google Scholar 

  8. Zitek JA, Baydoun J, Baird J (2013) Tools for the Clinician: The Essentials of Bedside (ED or ICU) Ultrasound for Deep Vein Thrombosis. Curr Emerg Hosp Med Rep 1:65–70. https://doi.org/10.1007/s40138-013-0016-4

    Article  Google Scholar 

  9. Pedraza García J, Valle Alonso J, Ceballos García P, Rico Rodríguez F, Aguayo López MÁ, Muñoz-Villanueva MDC (2018) Comparison of the accuracy of emergency department-performed point-of-care-ultrasound (POCUS) in the diagnosis of lower-extremity deep vein thrombosis. J Emerg Med 54:656–664. https://doi.org/10.1016/j.jemermed.2017.12.020

    Article  PubMed  Google Scholar 

  10. Abbasi S, Bolverdi E, Zare MA, Hafezimoghadam P, Fathi M, Farsi D, Moghimi M (2012) Comparison of diagnostic value of conventional ultrasonography by emergency physicians with Doppler ultrasonography by radiology physicians for diagnosis of deep vein thrombosis. J Pak Med Assoc 62:461–465

    PubMed  Google Scholar 

  11. Jang T, Docherty M, Aubin C, Polites G (2004) Resident-performed compression ultrasonography for the detection of proximal deep vein thrombosis: fast and accurate. Acad Emerg Med 11:319–322. https://doi.org/10.1111/j.1553-2712.2004.tb02220.x

    Article  PubMed  Google Scholar 

  12. Kim DJ, Byyny RL, Rice CA et al (2016) Test characteristics of emergency physician-performed limited compression ultrasound for lower-extremity deep vein thrombosis. J Emerg Med 51:684–690. https://doi.org/10.1016/j.jemermed.2016.07.013

    Article  PubMed  Google Scholar 

  13. Shiver SA, Lyon M, Blaivas M, Adhikari S (2010) Prospective comparison of emergency physician-performed venous ultrasound and CT venography for deep venous thrombosis. Am J Emerg Med 28:354–358. https://doi.org/10.1016/j.ajem.2009.01.009

    Article  PubMed  Google Scholar 

  14. Kline JA, O’Malley PM, Tayal VS, Snead GR, Mitchell AM (2008) Emergency clinician-performed compression ultrasonography for deep venous thrombosis of the lower extremity. Ann Emerg Med 52:437–445. https://doi.org/10.1016/j.annemergmed.2008.05.023

    Article  PubMed  Google Scholar 

  15. Fischer EA, Kinnear B, Sall D et al (2019) Hospitalist-operated compression ultrasonography: a point-of-care ultrasound study (HOCUS-POCUS). J Gen Intern Med 34:2062–2067. https://doi.org/10.1007/s11606-019-05120-5

    Article  PubMed  PubMed Central  Google Scholar 

  16. Seyedhosseini J, Fadavi A, Vahidi E, Saeedi M, Momeni M (2017) Impact of point-of-care ultrasound on disposition time of patients presenting with lower extremity deep vein thrombosis, done by emergency physicians. Turk J Emerg Med 18:20–24. https://doi.org/10.1016/j.tjem.2017.12.003

    Article  PubMed  PubMed Central  Google Scholar 

  17. Crowhurst TD, Dunn RJ (2013) Sensitivity and specificity of three-point compression ultrasonography performed by emergency physicians for proximal lower extremity deep venous thrombosis. Emerg Med Australas 25:588–596. https://doi.org/10.1111/1742-6723.12155

    Article  PubMed  Google Scholar 

  18. Dehbozorgi A, Damghani F, Mousavi-Roknabadi RS, Sharifi M, Sajjadi SM, Hosseini-Marvast SR (2019) Accuracy of three-point compression ultrasound for the diagnosis of proximal deep-vein thrombosis in emergency department. J Res Med Sci 24:80. https://doi.org/10.4103/jrms.JRMS_1057_18

    Article  PubMed  PubMed Central  Google Scholar 

  19. Jahanian F, Khatir IG, Bani-Mostafavi E-S, Moradi S, Aghamalaki FH (2019) Diagnostic accuracy of a three-point compression ultrasonography performed by emergency medicine resident for the diagnosis of deep vein thrombosis: a prospective diagnostic study. Acta Inform Med 27:119–122. https://doi.org/10.5455/aim.2019.27.119-122

    Article  PubMed  PubMed Central  Google Scholar 

  20. Ahmed El-Gazzar EH, Alkafafy AM, El-Salam Fathi HA, Helmi TA (2021) Abd-Rabo AA-E: Sensitivity and specificity of three-point compression ultrasonography test performed by emergency physicians for diagnosis of lower limbs deep venous thrombosis. Egyptian Journal of Anaesthesia 37:517–522. https://doi.org/10.1080/11101849.2021.2001976

    Article  Google Scholar 

  21. Zuker-Herman R, Ayalon Dangur I, Berant R, Sitt EC, Baskin L, Shaya Y, Shiber S (2018) Comparison between two-point and three-point compression ultrasound for the diagnosis of deep vein thrombosis. J Thromb Thrombolysis 45:99–105. https://doi.org/10.1007/s11239-017-1595-9

    Article  CAS  PubMed  Google Scholar 

  22. Crisp JG, Lovato LM, Jang TB (2010) Compression ultrasonography of the lower extremity with portable vascular ultrasonography can accurately detect deep venous thrombosis in the emergency department. Ann Emerg Med 56:601–610. https://doi.org/10.1016/j.annemergmed.2010.07.010

    Article  PubMed  Google Scholar 

  23. Reihani H, Ahmadi K, Rezanejad M, Bolvardi E, Bahramian M, Ebrahimi M, Hosseini P (2016) Comparison of the precision of compression ultrasonography and duplex sonography in deep venous thrombosis patients. Global J Health Sci 9:169. https://doi.org/10.5539/gjhs.v9n6p169

    Article  Google Scholar 

  24. Farahmand S, Farnia M, Shahriaran S, Khashayar P (2011) The accuracy of limited B-mode compression technique in diagnosing deep venous thrombosis in lower extremities. Am J Emerg Med 29:687–690. https://doi.org/10.1016/j.ajem.2010.11.028

    Article  PubMed  Google Scholar 

  25. Frazee BW, Snoey ER, Levitt A (2001) Emergency Department compression ultrasound to diagnose proximal deep vein thrombosis. J Emerg Med 20:107–112. https://doi.org/10.1016/s0736-4679(00)00302-4

    Article  CAS  PubMed  Google Scholar 

  26. Jacoby J, Cesta M, Axelband J, Melanson S, Heller M, Reed J (2007) Can emergency medicine residents detect acute deep venous thrombosis with a limited, two-site ultrasound examination? J Emerg Med 32:197–200. https://doi.org/10.1016/j.jemermed.2006.06.008

    Article  PubMed  Google Scholar 

  27. Canakci ME, Acar N, Bilgin M, Kuas C (2020) Diagnostic value of point-of-care ultrasound in deep vein thrombosis in the emergency department. J Clin Ultrasound 48:527–531. https://doi.org/10.1002/jcu.22892

    Article  PubMed  Google Scholar 

  28. Poley RA, Newbigging JL, Sivilotti MLA (2014) Estimated effect of an integrated approach to suspected deep venous thrombosis using limited-compression ultrasound. Acad Emerg Med 21:971–980. https://doi.org/10.1111/acem.12459

    Article  PubMed  Google Scholar 

  29. Pujol S, Laurent J, Markarian T et al (2018) Compression with a pocket-sized ultrasound device to diagnose proximal deep vein thrombosis. Am J Emerg Med 36:1262–1264. https://doi.org/10.1016/j.ajem.2018.03.076

    Article  PubMed  Google Scholar 

  30. Theodoro D, Blaivas M, Duggal S, Snyder G, Lucas M (2004) Real-time B-mode ultrasound in the ED saves time in the diagnosis of deep vein thrombosis (DVT). Am J Emerg Med 22:197–200. https://doi.org/10.1016/j.ajem.2004.02.007

    Article  PubMed  Google Scholar 

  31. Torres-Macho J, Antón-Santos JM, García-Gutierrez I et al (2012) Initial accuracy of bedside ultrasound performed by emergency physicians for multiple indications after a short training period. Am J Emerg Med 30:1943–1949. https://doi.org/10.1016/j.ajem.2012.04.015

    Article  PubMed  Google Scholar 

  32. Zitek T, Baydoun J, Yepez S, Forred W, Slattery DE (2016) Mistakes and pitfalls associated with two-point compression ultrasound for deep vein thrombosis. West J Emerg Med 17:201–208. https://doi.org/10.5811/westjem.2016.1.29335

    Article  PubMed  PubMed Central  Google Scholar 

  33. Magazzini S, Vanni S, Toccafondi S et al (2007) Duplex ultrasound in the emergency department for the diagnostic management of clinically suspected deep vein thrombosis. Acad Emerg Med 14:216–220. https://doi.org/10.1197/j.aem.2006.08.023

    Article  PubMed  Google Scholar 

  34. Blaivas M, Lambert MJ, Harwood RA, Wood JP, Konicki J (2000) Lower-extremity Doppler for deep venous thrombosis–can emergency physicians be accurate and fast? Acad Emerg Med 7:120–126. https://doi.org/10.1111/j.1553-2712.2000.tb00512.x

    Article  CAS  PubMed  Google Scholar 

  35. Caldeira D, Rodrigues FB, Barra M et al (2015) Non-vitamin K antagonist oral anticoagulants and major bleeding-related fatality in patients with atrial fibrillation and venous thromboembolism: a systematic review and meta-analysis. Heart 101:1204–1211. https://doi.org/10.1136/heartjnl-2015-307489

    Article  CAS  PubMed  Google Scholar 

  36. Ho VB, van Geertruyden PH, Yucel EK et al (2011) ACR appropriateness criteria(®) on suspected lower extremity deep vein thrombosis. J Am Coll Radiol 8:383–387. https://doi.org/10.1016/j.jacr.2011.02.016

    Article  PubMed  Google Scholar 

  37. Min S-K, Kim YH, Joh JH et al (2016) Diagnosis and treatment of lower extremity deep vein thrombosis: Korean practice guidelines. Vasc Specialist Int 32:77–104. https://doi.org/10.5758/vsi.2016.32.3.77

    Article  PubMed  PubMed Central  Google Scholar 

  38. Lee JH, Lee SH, Yun SJ (2019) Comparison of 2-point and 3-point point-of-care ultrasound techniques for deep vein thrombosis at the emergency department: a meta-analysis. Medicine (Baltimore) 98:e15791. https://doi.org/10.1097/MD.0000000000015791

    Article  PubMed  Google Scholar 

  39. Burnside PR, Brown MD, Kline JA (2008) Systematic review of emergency physician-performed ultrasonography for lower-extremity deep vein thrombosis. Acad Emerg Med 15:493–498. https://doi.org/10.1111/j.1553-2712.2008.00101.x

    Article  PubMed  Google Scholar 

  40. Pomero F, Dentali F, Borretta V, Bonzini M, Melchio R, Douketis JD, Fenoglio LM (2013) Accuracy of emergency physician-performed ultrasonography in the diagnosis of deep-vein thrombosis: a systematic review and meta-analysis. Thromb Haemost 109:137–145. https://doi.org/10.1160/TH12-07-0473

    Article  CAS  PubMed  Google Scholar 

  41. Emergency Ultrasound Guidelines (2009) Ann Emerg Med 53:550–570. https://doi.org/10.1016/j.annemergmed.2008.12.013

    Article  Google Scholar 

  42. Blaivas M (2010) Point-of-care ultrasonographic deep venous thrombosis evaluation after just ten minutes’ training: is this offer too good to be true? Ann Emerg Med 56:611–613. https://doi.org/10.1016/j.annemergmed.2010.08.014

    Article  PubMed  Google Scholar 

  43. Fox JC, Bertoglio KC (2011) Emergency physician performed ultrasound for DVT evaluation. Thrombosis 2011:938709. https://doi.org/10.1155/2011/938709

    Article  PubMed  PubMed Central  Google Scholar 

  44. Chu C-M, Chen K-C, Wang T-L (2015) Ultrasound performed by emergency clinician improved the diagnostic efficacy in deep vein thrombosis. Crit Ultrasound J 7:A28. https://doi.org/10.1186/2036-7902-7-S1-A28

    Article  PubMed Central  Google Scholar 

  45. Pezzullo JA, Perkins AB, Cronan JJ (1996) Symptomatic deep vein thrombosis: diagnosis with limited compression US. Radiology 198:67–70. https://doi.org/10.1148/radiology.198.1.8539408

    Article  CAS  PubMed  Google Scholar 

  46. Prandoni P, Cogo A, Bernardi E et al (1993) A simple ultrasound approach for detection of recurrent proximal-vein thrombosis. Circulation 88:1730–1735. https://doi.org/10.1161/01.cir.88.4.1730

    Article  CAS  PubMed  Google Scholar 

  47. Needleman L, Cronan JJ, Lilly MP et al (2018) Ultrasound for lower extremity deep venous thrombosis: multidisciplinary recommendations from the society of radiologists in ultrasound consensus conference. Circulation 137:1505–1515. https://doi.org/10.1161/CIRCULATIONAHA.117.030687

    Article  PubMed  Google Scholar 

  48. Zaki HA, Elmoheen A, Elsaeidy AME et al (2021) Normal D-dimer plasma level in a case of acute thrombosis involving intramuscular gastrocnemius vein. Cureus. https://doi.org/10.7759/cureus.20153

    Article  PubMed  PubMed Central  Google Scholar 

  49. Wells PS, Anderson DR, Rodger M et al (2003) Evaluation of D-dimer in the diagnosis of suspected deep-vein thrombosis. N Engl J Med 349:1227–1235. https://doi.org/10.1056/NEJMoa023153

    Article  CAS  PubMed  Google Scholar 

  50. Bates SM, Jaeschke R, Stevens SM et al (2012) Diagnosis of DVT: Antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest physicians evidence-based clinical practice guidelines. Chest 141:e351S-e418S. https://doi.org/10.1378/chest.11-2299

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Zaki, H.A., Albaroudi, B., Shaban, E.E. et al. Deep venous thrombosis (DVT) diagnostics: gleaning insights from point-of-care ultrasound (PoCUS) techniques in emergencies: a systematic review and meta-analysis. Ultrasound J 16, 37 (2024). https://doi.org/10.1186/s13089-024-00378-1

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