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Diagnostic Performance of Contrast Enhanced Ultrasound in Patients with Prostate Cancer

Rationale and Objectives

We aimed to do a meta-analysis of the existing literature to assess the accuracy of prostate cancer (PCa) studies that use contrast-enhanced ultrasound (CEUS) as a diagnostic tool.

Materials and Methods

The MEDLINE, EMBASE, and Cochrane Library databases were searched for relevant original articles published up to August 2012. Characteristics of Included studies were recorded. Methodological quality was assessed by using the quality assessment of diagnostic studies tool. Pooled weighted estimates of diagnostic odds ratio (DOR), sensitivity, specificity, and positive and negative likelihood ratio (LR) were calculated. A summary receiver operator characteristic (SROC) curve was constructed to calculate the area under the curve (AUC). Publication bias analysis was also performed.

Results

Sixteen studies (2624 patients) were included in the meta-analysis. Various contrast agents and imaging modes were applied. The independent random-effects summary showed a variation in diagnostic values. The summary estimates of sensitivity, specificity, and DOR were 0.70, 0.74, and 9.09, respectively. The weighted positive and negative LR were 2.81 and 0.35, with statistically significant between-study heterogeneity ( P < .001). Sensitivity was better in positive patient studies than positive biopsy cores ones (0.78 vs. 0.64). SROC plot displayed value for AUC (0.82). Begg’s test ( P = .822) and Egger’s test ( P = .198) did not show evidence of publication bias.

Conclusion

CEUS is a promising tool in the detection of PCa, but it cannot completely replace systematic biopsy under the present circumstances. It is necessary to standardize imaging techniques, contrast agents and diagnostic criteria. Large samples, multi-center studies and high-quality prospective trials are necessary to assess its clinical value.

Introduction

Prostate cancer (PCa) is one of the most commonly diagnosed cancers in males. The American Cancer Society estimates that in 2012 PCa will account for 29% of new cancer diagnoses in men and 9% of cancer-related deaths in the United States . Early detection is the key to successful treatment. Digital rectal examination, prostate-specific antigen, conventional transrectal ultrasonography, and magnetic resonance imaging have been the main methods for detecting PCa. These methods are available but the diagnosis of PCa is far from optimal . Grayscale transrectal ultrasound-guided systematic biopsy is the reference standard method, however, it has been shown that this approach missed clinically relevant cancers. Autopsy studies have demonstrated that sensitivity of sextant prostate biopsy was 30%, with increasing sensitivity with increasing numbers of biopsy cores, 36%–58% for 12-core biopsies, and 53%–58% for 18-core biopsies . PCa is multifocal and heterogeneous in nature, making it difficult to detect all cancers, sites, and grades . Thus, new techniques that help us to display more cancerous lesions and to target areas of high cancer incidence are desirable.

Contrast-enhanced ultrasound (CEUS) imaging was developed to real-time image perfusion . Ultrasound contrast agents consist of small encapsulated gas bubbles that are administered intravenously and remain intravascular. Adding microbubbles as additional reflectors into the bloodstream increase the sensitivity of imaging. Numerous studies have been performed to assess the diagnostic performance of CEUS in the evaluation of prostate lesions . These studies yield varying estimates of sensitivity and specificity, which are probably caused by advances in technology, differences in scan protocols, and heterogeneity in patient populations. The purpose of our study, therefore, was to perform a systematic review and quantitative meta-analysis of the literature to determine the overall diagnostic value of CEUS for PCa.

Materials and methods

Data Sources and Exclusion Criteria

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Quality Assessment and Data Extraction

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Data Synthesis and Statistical Analysis

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Results

Study Selection and Characteristics

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Figure 1, Flowchart of the search and selection process. CEUS, contrast-enhanced ultrasound; PCa, prostate cancer.

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Table 1

Characteristics of Included Studies

Author, Publication Year (Reference) Country No. of Patients Study Design Mean Patient Age (y) Contrast Agent Gold Standard Mean PSA (ng/mL) Volume of Prostate (mL) QUADAS Score Bogers et al, 1999 Netherlands 18 Retrospective NR Levovist® Biopsy 18.6 NR 11 Frauscher et al, 2002 Austria 230 Prospective 56.0 Levovist® Biopsy 4.6 NR 13 Halpern et al, 2001 United States 60 Prospective 64.0 Definity® Biopsy NR NR 12 Halpern et al, 2005 United States 301 NR 63.0 AF0150 Biopsy 9.5 NR 13 Karaman et al, 2005 Turkey 32 Prospective 63.5 Levovist® Biopsy 9.5 48.0 13 Mitterberger et al, 2010 Austria 760 NR 60.9 Sulfur hexafluoride Biopsy 4.5 43.0 12 Morelli et al, 2011 Italy 150 Prospective 65.0 SonoVue® Biopsy 8.2 NR 13 Pelzer et al, 2005 Austria 380 NR 60.7 SonoVue® Biopsy 6.2 35.5 13 Roy et al, 2003 France 85 NR 64.0 NR Biopsy 18.2 NR 12 Seitz et al, 2011 Germany 35 Prospective 64.0 SonoVue® Prostatectomy 12.7 NR 13 Taymoorian et al, 2007 Germany 95 Prospective 66.0 SonoVue® Biopsy 10.0 50.0 13 Unal et al, 2000 Netherlands 59 Retrospective 64.9 Levovist Prostatectomy 10.1 45.8 11 Xie et al, 2011 China 150 Prospective 68.5 SonoVue® Biopsy 22.1 54.4 13 Yang et al, 2008 China 115 Prospective 70.0 SonoVue® Biopsy NR NR 13 Yi et al, 2006 Korea 48 Prospective 62.0 Levovist® Biopsy 7.5 NR 11 Zhao et al, 2011 China 106 NR 68.7 SonoVue® Biopsy 10.1 53.9 12

NR, not reported.

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Methodologic Quality Assessment

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Figure 2, Proportion of all 14 Quality Assessment of Diagnostic Accuracy Studies (QUADAS) that were fulfilled for the studies included in the meta-analysis. Study quality is defined as high when equal to or greater than nine items.

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Pooled Estimates

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Figure 3, Forest plots of studies evaluating the sensitivity of CEUS in patients with PCa with corresponding 95% CIs. CEUS, contrast-enhanced ultrasound; CI, confidence interval; df, degree of freedom; PCa, prostate cancer.

Figure 4, Forest plots of studies evaluating the specificity of CEUS in patients with PCa with corresponding 95% CIs. CEUS, contrast-enhanced ultrasound; CI, confidence interval; df, degree of freedom; PCa, prostate cancer.

Figure 5, Forest plots of studies evaluating the positive LR of CEUS in patients with PCa with corresponding 95% CIs. CEUS, contrast-enhanced ultrasound; CI, confidence interval; df, degrees of freedom; LR, likelihood ratio; PCa, prostate cancer.

Figure 6, Forest plots of studies evaluating the negative LR of CEUS in patients with PCa with corresponding 95% CIs. CEUS, contrast-enhanced ultrasound; CI, confidence interval; df, degrees of freedom; LR, likelihood ratio; PCa, prostate cancer.

Figure 7, Forest plots of studies evaluating the DOR of CEUS in patients with PCa with corresponding 95% CIs. CI, confidence interval; CEUS, contrast-enhanced ultrasound; df, degrees of freedom; DOR, diagnostic odds ratio; LR, likelihood ratio; PCa, prostate cancer.

Figure 8, Summary ROC curve for studies evaluating CEUS for detection of PCa. It shows diagnostic accuracy by plotting specificity in horizontal axis and sensitivity in vertical axis. The middle curve is the summary ROC curve. The upper and lower curves represent the 95% CIs. AUC, area under the curve; CI, confidence interval; CEUS, contrast-enhanced ultrasound; Q*, point of intersection of the summary ROC curve where sensitivity and specificity are equal; SE, standard error.

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Heterogeneity and Meta-regression Analysis

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Publication Bias

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Figure 9, Funnel plot of eligible studies to assess publication bias. The dots, each representing one study, are conforming to a triangular form, meaning that publication bias is low.

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Discussion

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Conclusions

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