Open Access

Diagnostic accuracy of transvaginal ultrasound examination for assigning a specific diagnosis to adnexal masses: A meta‑analysis

  • Authors:
    • Xiya Zhang
    • Xuan Meng
    • Ting Dou
    • Hui Sun
  • View Affiliations

  • Published online on: October 27, 2020     https://doi.org/10.3892/etm.2020.9395
  • Article Number: 265
  • Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Transvaginal ultrasound (TVUS) is a standard imaging modality for differentiating patients with benign or malignant suspected adnexal mass. To date, numerous studies have assessed the diagnostic accuracy of TVUS in various settings but with variable results. Therefore, the purpose of the present study was to perform a meta‑analysis to evaluate the diagnostic accuracy of TVUS for the differentiation of adnexal masses. An electronic search in the Medline, Scopus, Cochrane and Embase databases from inception till November 2019 was carried out. Meta‑analysis was performed to obtain pooled sensitivity and specificity of TVUS to distinguish malignant from benign adnexal masses. The quality assessment of diagnostic accuracy studies‑2 tool was used to assess the quality of trials. A total of 41 studies with 18,391 patients were included. The pooled sensitivity and specificity of TVUS was 92% (95% CI: 90‑94%) and 89% (95% CI: 85‑92%), respectively. The area under the receiver operating characteristic curve was 0.96 (95% CI: 0.84‑1.00). There was considerable heterogeneity with a statistically significant chi‑square test (P<0.001) and I2 of 99%. Meta‑regression results indicated that index test standards, patient selection bias and study design were potential sources of heterogeneity (P<0.05). The funnel plot was symmetrical and low publication bias was confirmed by an insignificant Deek's test (P=0.90). The present systematic review and meta‑analysis indicated that TVUS is useful in differentiating between benign and malignant tumours among patients with suspected adnexal mass with high sensitivity and specificity.

Introduction

An adnexal tumour is defined as an enlarged structure within the adnexa of the uterus (1). It represents a spectrum of benign and malignant conditions that may originate from either gynaecological or non-gynaecological sources (2). The pathology is usually an incidental finding diagnosed during a routine clinical examination or may be present in females with any gynaecological complaint (3). Since adnexal masses may present with a wide range of symptoms, it is frequently difficult to differentiate benign tumours from other malignant lesions such as ovarian cancer (2).

Cross-sectional imaging strategies have a major role in managing patients with adnexal tumours, as they are able to consistently differentiate between benign and malignant masses affecting the fallopian tube and ovary. It is also helpful in differentiating uterine and gastrointestinal pathologies from adnexal abnormalities (1). Early and accurate diagnosis of adnexal mass is essential for formulating a treatment plan. The ability of the imaging modality to differentiate between a benign and malignant nature of a lesion further influences the decision for the requirement of expectant management (cases with no symptoms or reproductive dysfunction) or the requirement of surgery (for borderline or invasive tumours) (4). Laparoscopic observation and histopathological examination are considered the gold standard for the specific diagnosis of adnexal mass (5). However, the invasive nature of the procedure is a significant limitation for its use in routine clinical practice.

Despite several advances and technological advancements in the field of radiodiagnosis, simple transvaginal ultrasound (TVUS) has been a standard procedure for the initial diagnosis of patients with adnexal mass (6,7). Several studies have reported that TVUS may also help in discriminating between benign and malignant adnexal masses and also to make a specific diagnosis (6,7). To the best of our knowledge, there have been no systematic efforts to perform a data synthesis to evaluate the diagnostic accuracy of this method. Therefore, the purpose of the present study was to perform a meta-analysis to evaluate the diagnostic accuracy of TVUS for the differentiation of an adnexal mass as benign or malignant.

Materials and methods

Inclusion criteria

All types of studies examining the diagnostic accuracy of TVUS for a specific diagnosis of an adnexal mass and comparing it with standard laparoscopic or histopathological examination as the reference standard were considered. Studies were to report on sensitivity and specificity or provide data to calculate these values. Only full-text articles were included, while unpublished data were excluded. Studies with a sample size of <10 patients and case reports were also excluded.

Search strategy

An extensive and systematic electronic search was performed in the Medline, Scopus, Cochrane Library and Embase databases. Both medical subject headings along with free text terms were utilized for the literature search. The search terms used were as follows: ‘Validation studies’, ‘adnexal mass’, ‘pattern recognition’, ‘transvaginal ultrasonography’, ‘benign adnexal mass’, ‘malignant adnexal mass’, ‘gynaecological disorders’, ‘sensitivity’, ‘specificity’, ‘diagnosis’, ‘adnexal lesions’ and ‘diagnostic accuracy studies’. The time limit for the search was from inception to November 2019 without any language restriction. Reference lists of primary studies were hand-searched to find any missed articles for inclusion in the review.

Selection of studies

Primary screening of title, keywords and abstracts was performed by two authors independently (XZ and XM). Full-text articles of the relevant entries were retrieved. These were further screened independently by the two authors (XZ and XM) for final inclusion in the review. Agreement between the two authors in making decisions related to inclusion or exclusion of studies was found to be excellent with a kappa value of 0.82. Disagreements during the selection of studies were resolved by consulting the third author (TD).

Data extraction and management

The primary investigator (XZ) performed data extraction using a data-extraction form. The following details were extracted: Study setting, study design, inclusion and exclusion criteria, reference standards, index test, total participants, comorbidities, mean age, sensitivity and specificity values. The extracted data were entered into STATA software. They were double-checked for correct entry by comparing the data in the review and the study reports. The following outcome measures were analysed in the review: Sensitivity, specificity, diagnostic odds ratio (DOR), likelihood ratio positive (LRP) and likelihood ratio negative (LRN).

Risk of bias assessment

The risk of bias for all of the included studies was assessed by two authors (XZ and XM) independently using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool (8). Studies were rated for patient selection bias, conduct and interpretation of index test and reference standard, as well as time interval (i.e. flow and timing) of the outcome assessments. The studies were graded as having low, high or unclear risk of bias for each domain.

Statistical analysis

The final estimate of sensitivity, specificity, LRN, LRP and DOR for TVUS was obtained using the bivariate meta-analysis method. The summary receiver operator characteristic curve was constructed from which area under the curve (AUC) was obtained. An AUC value closer to 1 was indicative of a better diagnostic value.

Forest plots were used to graphically represent the study-specific and pooled estimates of sensitivity and specificity. The clinical value of the TVUS was determined by the LR scattergram. The probability of a patient having a benign or malignant adnexal mass was tested using the Fagan plot. Heterogeneity was assessed graphically using bivariate boxplots and tested using the chi-square test and I2 statistic. The source of heterogeneity was explored with meta-regression using study-related covariates such as the study design, year of publication, sample size, study region and quality-related factors. Publication bias was tested using Deek's test and graphically depicted by a funnel plot. The analysis was performed using the ‘metandi’ command package in STATA 14.2 software (StataCorp).

Results

Selection of studies

After database screening, a total of 2,442 records were retrieved, of which 927 records were from Medline, 813 from Scopus, 590 from Embase and 112 from the Cochrane library (Fig. 1). After the first stage of screening, 243 relevant studies were retained. The full text of these studies was examined against the eligibility criteria. In total, 41 studies with 18,391 participants satisfying the inclusion criteria were included in the present review (9-49).

Characteristics of included studies

The characteristics of the included studies are described in Table I. Of the included studies, 35 were prospective studies. Most of the studies were performed in high-income European countries such as the United Kingdom, Italy, Belgium and Spain. The average age of the participants ranged from 33.3 to 53.3 years. The sample size of the studies varied from 37 to 2,403 patients. All of the included studies used laparoscopy or laparotomy with histopathology as the reference standard for comparing the diagnostic accuracy of TVUS. The time interval between TVUS and the reference standard varied from 24 h to 12 weeks.

Table I

Characteristics of the included studies (n=41).

Table I

Characteristics of the included studies (n=41).

First author and yearCountryStudy designSample sizeType of diagnostic modalityGold standard comparatorTime interval between index test and reference standardMean age (years)(Refs.)
Alcázar 2013SpainProspective340Simple TVUS-based rulesHistopathology3 weeks42.1(9)
Daemen 201119 Ultrasound centers in eight countries (Belgium, Canada, China, Czech Republic, Italy, Poland, Sweden, UK)Prospective1,938Subjective assessment by grayscale TVUSHistopathologyNot specifiedNot specified(10)
Ruiz de Gauna 2015SpainProspective247Simple TVUS-based rulesHistopathology3 weeks43.6(11)
Fathallah 2011FranceProspective122Simple TVUS-based rulesHistopathologyNot specifiedNot specified(12)
Granberg 1990SwedenProspective180Subjective assessment byHistopathology grayscale TVUS1 week to 1 monthNot specified(13)
Guerriero 2010ItalyProspective2,148Subjective assessment byHistopathology grayscale TVUSNot specified42(14)
Hartman 2012Brazil Cross-sectional110Subjective assessment by grayscale TVUSHistopathologyMean time interval=64.4 daysBenign, 46.8 Malignant, 53.4(15)
Jain 1993United States of AmericaProspective study37Endovaginal USSurgery or laparoscopy1-4 weeks41.5(16)
Jain 1994United States of AmericaProspective study49Endovaginal USSurgery or laparoscopy1-5 days45(17)
Knafel 2013PolandProspective226Subjective assessmentHistopathology by TVUSNot specified47(18)
Komatsu 1996JapanRetrospective study82TVUSHistologic examination2 weeks45.9(19)
Lucidarme 2010FranceProspective255TVUSHistologic examinationNot specifiedNot specified(20)
Mancuso 2004ItalyRetrospective125TVUSHistologic examinationNot specifiedNot specified(21)
Moszynski 2013PolandRetrospective318TVUSHistologic examinationNot specifiedNot specified(22)
Nunes 2012United KingdomProspective292TVUSHistologic examination120 days53.2(23)
Nunes 2013United KingdomProspective303TVUSHistologic examination120 days51(24)
Radosa 2014GermanyRetrospective1,320Pattern recognition by TVUSHistopathologyNot specified33.3(25)
Romagnolo 2006ItalyProspective221Subjective assessment by TVUSHistopathologyNot specifiedNot specified(26)
Roman 1997USAProspective226Grayscale TVUSHistopathologyNot specifiedNot specified(27)
Salle 1995FranceProspective91Subjective assessment by TVUSHistopathologyNot specifiedNot specified(28)
Sayasneh 2013United KingdomProspective multicentric study2552D grayscale TVUSHistopathology120 days46(29)
Sayasneh 2015United KingdomProspective multicentric study3132D grayscale TVUSHistopathologyNot specified47(30)
Shetty 2017IndiaProspective136Pattern recognition by TVUSHistopathologyNot specified40.5(31)
Shetty 2019IndiaProspective183IOTA Simple rules using TVUSHistopathology12 weeks37.5(32)
Silvestre 2015BrazilProspective75IOTA Simple rules using TVUSHistopathology7 daysNot specified(33)
Sohaib 2005United KingdomProspective72Subjective assessment by grayscale TVUSHistopathologyNot specified53(34)
Sokalska 2009Nine European centersRetrospective860Grayscale TVUSHistopathologyNot specified37(35)
Stein 1995USAProspective160Grayscale TVUSHistopathologyNot specified114 patients were premenopausal (mean, 33 years; range, 13-53), 39 were perimenopausal or postmenopausal (mean, 57; range, 44-80) and eight had undergone hysterectomy (mean, 44 years; range, 33-61)(36)
Strigini 1996ItalyProspective109TVUSLaparotomy and histopathology1 weekMedian, 43(37)
Tantipalakorn 2014ThailandProspective398IOTA simple rules using TVUSPathological or operative findings24 h42.4(38)
Testa 201418 centres in six countries (Sweden, Belgium, Italy, Poland, Spain and Czech Republic)Prospective2,403IOTA Logistic regression model using TVUSHistopathology120 daysNot specified(39)
Timmerman 1999BelgiumProspective300TVUSHistopathologyNot specifiedPremenopausal (mean age, 40; range, 22-57); postmenopausal (mean age, 65; range, 47-93)(40)
Timmerman 201019 centres in eight European countriesProspective1,501IOTA Simple rules using TVUSHistopathology120 days46(41)
Utrilla-Layna 2015SpainProspective367Pattern recognition by TVUSHistopathologyNot specified46.5(42)
Valentin 1999SwedenProspective173TVUSHistopathology8 days98 were premenopausal (median age, 37.5; range, 18-54), 70 were postmenopausal (median age, 66; range, 51-88; median 15 years past menopause with a range of 1-44 years), four had undergone hysterectomy (median age, 51.5; range, 44-66)(43)
Valentin 2009Nine European US centresProspective534TVUSHistopathology120 days48.8(44)
Van Calster 2007Nine European US centresProspective809TVUSHistopathologyNot specified49(45)
Van Gorp 2012BelgiumProspective374Subjective assessment by TVUSHistopathologyNot specifiedPatients with benign disease: Mean age, 46.2; patients with malignant disease: Mean age, 57.7(46)
Van Holsbeke 2009BelgiumProspective507IOTA rulesHistopathologyNot specified using TVUS40(47)
Van Trappen 2007United KingdomProspective142TVUSHistopathologyNot specified50(48)
Yamashita 1995JapanProspective80TVUSHistopathology14 days43(49)

[i] IOTA, International Ovarian Tumour Analysis; TVUS, transvaginal ultrasound; 2D, 2-dimensional.

Risk of bias

The assessment of the risk of bias among the included studies is presented in Fig. 2. Of the studies, 90% had a low risk of bias for ‘selection bias’. Furthermore, out of the 41 studies, 26 had a low risk of bias for ‘conduct and interpretation of index test’. All of the studies had a low risk of bias for the ‘conduct of reference standards test and interpretation’. A total of 32 studies had a low risk of bias concerning ‘flow and interval between index and reference standard test’ among the patients.

Diagnostic performance of TVUS

Analysis of data from the 41 studies provided a pooled sensitivity and specificity of TVUS for differentiating benign and malignant adnexal mass of 92% (95% CI: 90-94%) and 89% (95% CI: 85-92%), respectively (Fig. 3). The DOR was 97 (95% CI: 65-147). The LRP was 8.3 (95% CI: 6.1-11.3) and the LRN was 0.09 (0.06-0.12). The upper right quadrant in the LR scatter diagram was occupied by these values, indicating that the TVUS may be used for confirmation only (Fig. 4). The AUC was 0.96 (95% CI: 0.84-1.00) (Fig. 5), indicating a highdiagnostic value. TVUS for adnexal mass had a good clinical value, as Fagan's nomogram had a significantly different post-test probability (positive, 80%; negative, 4%) compared to the pre-test probability (28%) (Fig. 6).

There was considerable heterogeneity with a statistically significant chi-square test result (P<0.001) and an I2 value of 99%. As indicated in the bivariate box plot (Fig. 7), 4 studies were outside the circle, demonstrating a possibility of inter-study heterogeneity. Meta-regression for assessing the source of heterogeneity suggested that the selection domain, standards of index test conduct and study design were statistically significant sources of heterogeneity (P<0.05; Fig. 8). The funnel plot for assessing the publication bias was symmetrical and the low publication bias was confirmed by non-significant Deek's test (P=0.90 Fig. 9).

Discussion

Several imaging modalities are available for making a specific diagnosis among patients with adnexal mass (50). However, these modalities cannot replace histopathology or biopsy as the gold standard for diagnosis. Imaging modalities still have a major role in clinical practice as these are non-invasive and are able to significantly reduce the diagnostic delay and complications associated with invasive diagnostic techniques (51). Since TVUS is a widely used imaging tool for adnexal masses, it is important to evaluate the diagnostic accuracy of this modality in differentiating between benign and malignant adnexal mass.

In total, 41 studies with 18,391 participants met the eligibility criteria of the review. The majority of the included studies were prospective studies. Most of them were performed in high-income countries such as the United Kingdom, the USA, Italy and Sweden. The overall quality of evidence was high, as most of the studies had a low risk of bias for all of the four domains of the QUADAS tool.

The diagnostic accuracy of TVUS for differentiating benign and malignant adnexal masses has not been evaluated in any previous reviews, to the best of our knowledge. In the present first meta-analysis, the pooled estimate of the sensitivity of TVUS was 92% and the pooled specificity was 89% with a high diagnostic performance (AUC=0.96). This diagnostic accuracy almost reached that of other biomarkers and algorithms such as CA-125, human epididymis protein 4, Risk of Malignancy Index and the Risk of Ovarian Malignancy Algorithm (52-56).

In the LR scatter diagram, LRP and LRN occupied the left lower quadrant, indicating that the TVUS should be used as the test for confirmation only and not for exclusion. The clinical value of TVUS for adnexal mass was also good, as Fagan's nomogram indicated a significant increase in the post-test probability compared to the pre-test probability. However, while inferring these results, one must consider the quality and differences in methodology of the included studies, which may have influenced the study results. Hence, an analysis of inter-study heterogeneity amongst the included studies was also performed. The present analysis indicated significant inter-study heterogeneity with a significant chi-square test result and I2 statistic. On further exploration of the source of heterogeneity via meta-regression, it was indicated that the study design, publication year and quality-associated characteristics had a significant influence on the inter-study variability. Deek's test and the funnel plot indicated that there was no significant publication bias among the studies reporting on the diagnostic accuracy of TVUS.

The present study has the following strengths. A comprehensive review was performed by including 41 studies with 18,391 patients to evaluate the diagnostic accuracy of TVUS in differentiating adnexal masses. To the best of our knowledge, the present study was the first to provide pooled estimates for the specific diagnosis of adnexal mass using TVUS. Furthermore, publication bias was determined to be insignificant, which adds credibility to the results obtained in the present review. However, the present study also has certain limitations. First, certain studies had a high risk of bias, which may have influenced the pooled estimates. Furthermore, there was significant inter-study heterogeneity in the review. This limits the study's ability to interpret the pooled results. However, it was attempted to overcome this limitation by exploring the potential source of heterogeneity among the included studies by a meta-regression analysis.

Despite these limitations, the present study provided valuable insight regarding the diagnostic accuracy of non-invasive techniques for differentiating benign and malignant adnexal masses. While TVUS had good sensitivity and specificity, it can only almost reach the SnNout triage test criteria for sensitivity. It cannot meet the SpPin criteria for the specificity of a diagnostic test (57). This means that TVUS can rule out a adnexal mass to be free from malignancy but cannot differentiate benign and malignant with utmost certainty based on radiological evidence. These results are in line with the international guidelines for the diagnosis of adnexal masses, which suggests TVUS as a first-line imaging modality to rule out malignancies such as ovarian cancer (6). However, it is not a replacement for laparoscopic surgery and biopsy, which is still the gold standard for the differentiation of adnexal masses.

In conclusion, the present study indicated that TVUS may be a useful imaging modality for differentiating between benign and malignant tumour among patients with adnexal mass with high sensitivity and specificity. TVUS may be employed as an efficient and rapid screening tool for suspected adnexal masses to rule out malignancy.

Acknowledgements

Not applicable.

Funding

No funding was received.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

XZ designed the study. XZ, XM, TD and HS were involved in literature search and data interpretation. XM and TD were responsible for the data analysis. XZ prepared the manuscript. HS edited the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Copy and paste a formatted citation
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Spandidos Publications style
Zhang X, Meng X, Dou T and Sun H: Diagnostic accuracy of transvaginal ultrasound examination for assigning a specific diagnosis to adnexal masses: A meta‑analysis. Exp Ther Med 20: 265, 2020
APA
Zhang, X., Meng, X., Dou, T., & Sun, H. (2020). Diagnostic accuracy of transvaginal ultrasound examination for assigning a specific diagnosis to adnexal masses: A meta‑analysis. Experimental and Therapeutic Medicine, 20, 265. https://doi.org/10.3892/etm.2020.9395
MLA
Zhang, X., Meng, X., Dou, T., Sun, H."Diagnostic accuracy of transvaginal ultrasound examination for assigning a specific diagnosis to adnexal masses: A meta‑analysis". Experimental and Therapeutic Medicine 20.6 (2020): 265.
Chicago
Zhang, X., Meng, X., Dou, T., Sun, H."Diagnostic accuracy of transvaginal ultrasound examination for assigning a specific diagnosis to adnexal masses: A meta‑analysis". Experimental and Therapeutic Medicine 20, no. 6 (2020): 265. https://doi.org/10.3892/etm.2020.9395