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Genitourinary Imaging |
1 Department of Radiology, University of California, San Francisco.
| Abstract |
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MATERIALS AND METHODS: Two sonologists independently reviewed the sonograms of 252 adnexal masses in 226 women and recorded US features by using a standardized checklist. The diagnostic performance of specific US features and overall reviewer impression in discriminating endometriomas from other adnexal masses were evaluated.
RESULTS: There were 40 endometriomas. Diffuse low-level internal echoes were present in 38 (95%) endometriomas and 40 (19%) nonendometriomas (positive likelihood ratio, 5). The positive likelihood ratio for the diagnosis of endometrioma increased to 8 if masses with neoplastic features at gray-scale US were excluded, allowing identification of 30 endometriomas (75%). The presence of multilocularity or hyperechoic wall foci further increased the positive likelihood ratio to 48, allowing the identification of 18 endometriomas (45%).
CONCLUSION: An adnexal mass with diffuse low-level internal echoes and absence of particular neoplastic features is highly likely to be an endometrioma if multilocularity or hyperechoic wall foci are present. A patient with a mass with diffuse low-level internal echoes and other US features may benefit from additional imaging.
Index terms: Dermoid, 85.313 Endometriosis, 85.3192 Ovary, neoplasms, 852.31, 852.319, 852.32 Pelvic organs, abnormalities, 85.1493 Pelvic organs, diseases, 85.2172 Pelvic organs, neoplasms, 85.31, 85.32 Pelvic organs, US, 85.1298
| Introduction |
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We designed our study to determine which combination of gray-scale US features has the highest diagnostic value in distinguishing endometriomas from other adnexal masses and to quantify the diagnostic performance of gray-scale US in this regard. This information helps establish the diagnostic power of gray-scale US for making a diagnosis of endometrioma, which would then serve to discriminate which subgroups of patients with endometriomas, if any, would benefit from additional diagnostic testing (46,810).
| MATERIALS AND METHODS |
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The second cohort was selected from a retrospective review of data from nonconsecutive patients who had undergone pelvic US at one of two institutions (San Francisco General Hospital and University of California Hospital, San Francisco) and in whom an ultrasonographically identified adnexal mass had been surgically excised and histopathologically examined (n = 149).
Cohort 1 ensures that US findings related to endometriomas are compared with the entire spectrum of abnormal adnexal processes, including self-limiting abnormalities. Cohort 2 serves to increase the number of cases analyzed to ensure greater variability in the appearance of endometriomas and to promote comparison with other adnexal processes, particularly malignant lesions.
Two sonologists (R.A.F., V.A.F.) blinded to the clinical history of the patient, the information about follow-up examinations, and the final diagnosis independently reviewed each sonogram. For each mass, both sonologists recorded US features by using a standardized checklist that contained the following observations: focal acoustic impedance (Fig 1), regional bright echoes (Fig 1), hyperechoic lines and dots, fluid-fluid level (gravity-dependent linear interface between two materials of differing echogenicity), fibrinous strands (pattern of fine interdigitating lines that yield a fishnet appearance) (Fig 2), retracting clot (marginal clumped echoes with concave margins), diffuse low-level internal echoes (Figs 19), and hyperechoic wall foci (punctate peripheral echogenic foci) (Figs 4, 5). Masses were categorized as cystic on the basis of demonstration of a definable wall and increased acoustic transmission. For those masses that had cystic US features, reviewers were asked to determine whether septations were present (Fig 6), to characterize wall and septation thickness (by using subjective assessment of images, with 3 mm as the distinction between thin and thick), and to characterize wall and septation contour as smooth, irregular, or nodular (Figs 79). For the purposes of data analysis, a mass was considered to exhibit a listed US feature if at least one of the reviewers designated the presence of that feature. For any given mass, when the feature checklist differed between the two reviewers, no attempt was made to reach a consensus opinion with regard to the presence of a feature.
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The sensitivity, specificity, positive predictive value, negative predictive value, negative likelihood ratio, and positive likelihood ratio were analyzed for the diagnosis of endometrioma according to each US finding and selected combinations of findings. It should be recognized that the sensitivity analysis reflects the ability of any particular set of findings or any individual reviewer to identify ultrasonographically detected endometriomas. Our study design does not allow for determination of the true sensitivity of disease detection because patients without ultrasonographically identified adnexal masses were not surgically evaluated. The negative likelihood ratio is defined as (1 - sensitivity)/specificity, and the positive likelihood ratio is defined as sensitivity/(1 - specificity). Likelihood ratios have surfaced in the medical decision-making literature as a method to describe the change in odds favoring disease given a particular test result (11). When a likelihood ratio exceeds 1, the odds favoring disease increase; when the likelihood ratio becomes less than 1, the odds favoring disease decrease. Likelihood ratios are useful because they do not change with the pretest probability of disease, unlike sensitivity and specificity. The receiver operating characteristic curve with the highest diagnostic performance established by using this analysis was generated.
| RESULTS |
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| DISCUSSION |
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Clearly, there is a range in what experts have defined as a "classic" endometrioma. These studies have not addressed which of the criteria used are most important in discriminating between an endometrioma and other adnexal lesions. While the presence of low-level echoes is a uniform diagnostic criterion for all studies, diagnostic requirements for the thickness and contour of the wall and shape and location of the lesion differ among the investigations. Understanding the degree to which any particular feature or set of features increases or decreases the likelihood ratio for the diagnosis of endometrioma is important, because one can then use this knowledge to direct the evaluation toward identifying those features that have the greatest relevance and avoid effort and confusion in characterizing those features that have no relevance.
Our study systematically addressed these issues, and our findings confirm that the presence of diffuse low-level internal echoes is the important feature that helps to discriminate an endometrioma from other lesions; 95% of endometriomas exhibit diffuse low-level internal echoes (Figs 48). While the absence of this finding does not exclude endometrioma, it significantly decreases the likelihood of that diagnosis (negative likelihood ratio, 0.1). It is interesting that cystic US features (definable wall and increased acoustic transmission) did not improve diagnostic performance once diffuse low-level echoes had been recognized.
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Our data suggest that there is no diagnostic value to the assessment of wall thickness. This feature had the greatest interobserver variability in our study, with disparate assignment of wall thickness in 36 (17%) of 210 masses considered to demonstrate cystic US features. While different groups of investigators have stipulated that one must demonstrate a thin wall (6) or thick wall (8) to confidently diagnose endometriomas, our data indicate that wall thickness is not a distinguishing criterion.
On the other hand, we demonstrate considerable benefit from the assessment of wall nodularity, a feature that is associated with neoplasia (15). Excluding masses with wall nodularity from the diagnosis of endometrioma helped to exclude neoplasm, especially malignancy, as a false-positive diagnosis (Fig 9). However, as eight (20%) of 40 endometriomas demonstrated wall nodularity, using the presence of wall nodularity as an exclusionary diagnostic criterion reduces the sensitivity of identifying endometriomas (Figs 7, 8). Altogether, there were 11 masses in our study that demonstrated low-level internal echoes with wall nodularity but no features of cystic teratoma, of which six were endometriomas and five were neoplasms. The subgroup of patients with these masses may benefit from additional imaging with color Doppler US, magnetic resonance (MR) imaging, or both to try to distinguish between neoplastic and nonneoplastic causes of wall nodularity.
Hemorrhagic ovarian cysts can also demonstrate diffuse low-level internal echoes (Figs 2, 3) and typically do not demonstrate those features discussed above that are associated with dermoids or other neoplasms (termed "neoplastic features" for the remainder of this discussion). Using only these criteria to predict that a mass is an endometrioma yields a positive likelihood ratio of 8, with the majority of false-positive diagnoses representing hemorrhagic cysts. Hemorrhagic cysts are almost exclusively nonneoplastic. Thus, they resolve spontaneously and are surgically removed only when patients have compelling acute symptoms. This has justifiably led to the practice of follow-up US as a diagnostic strategy to use when a mass is thought most likely to represent an endometrioma but that alternatively may represent an acutely hemorrhagic cyst, a strategy that virtually eliminates the possibility that a patient will undergo an unnecessary operation.
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Demonstration of hyperechoic wall foci in a mass with low-level echoes and absence of neoplastic features is strongly predictive of an endometrioma (Figs 4, 5). We separately evaluated "wall nodularity" from "hyperechoic wall foci." Thirty-five percent of endometriomas in our series demonstrated these foci, while only 6% of nonendometriomas did so. Hyperechoic wall foci yielded a positive likelihood ratio of 6.2, the highest positive likelihood ratio for a single feature in our study. This finding helps to distinguish endometriomas from nonneoplastic cysts. In our experience, hyperechoic wall foci were seen in only one of 69 nonneoplastic cysts (a mass that did not resolve with periodic US follow-up and that was considered a "simple" cyst at histopathologic analysis). Thus, our data indicate that a mass with low-level internal echoes, hyperechoic wall foci, and no neoplastic features is 32 times more likely to be an endometrioma than another adnexal mass and that US follow-up in such lesions is a low-yield course of action (Table 2).
To our knowledge, the pathologic basis of these hyperechoic wall foci has not been established. Given the similarity in appearance to hyperechoic wall foci seen in the gallbladder wall in patients with hyperplastic cholecystosis, due to the presence of cholesterol within polyps or Rokitansky-Aschoff sinuses, we postulate that these foci may contain cholesterol, perhaps from the breakdown of cell membranes. This may explain why they are seen in endometriomas, which contain chronic collections of cells that have had time to break down, and are not seen in spontaneously resolving lesions.
Another feature of diagnostic usefulness is the presence of septations without nodularity, also known as multilocularity. In our series, 18 of 40 endometriomas and 65 of 212 nonendometriomas were multilocular (Fig 6). However, when used as a feature in addition to low-level echoes and absence of neoplastic features, multilocularity increased the likelihood that a mass was an endometrioma. As a result, a mass with low-level echoes, without neoplastic features, and with multilocularity is 64 times more likely to represent an endometrioma than another adnexal mass. Follow-up US for masses with these features is unlikely to alter management (Table 2).
The diagnostic performance of the two experienced reviewers in this study fell directly but at different points on the receiver operating characteristic curve generated by means of our data analysis (Fig 10). This observation suggests that the ability of experienced sonologists to recognize and diagnose endometriomas is based on the criteria presented and does not result from features untested in our analysis. It is important that in no patient was an ovarian malignancy misdiagnosed as an endometrioma, either by an individual reviewer or by using the diagnostic features to discriminate endometriomas from other lesions. One limitation of our study design is that three possibly pertinent features in the discrimination of endometriomas from other adnexal lesions, namely, lesion shape, size, and location, were not evaluated. This study analyzed adnexal masses that were not related to pelvic inflammatory disease or ectopic pregnancy. While these entities may manifest US features similar to those discussed here, the clinical presentations in patients with pelvic inflammatory disease and ectopic pregnancy differ.
In conclusion, our data demonstrate that gray-scale US can achieve a high degree of accuracy in the diagnosis of endometrioma. An adnexal mass with diffuse low-level internal echoes and absence of particular neoplastic features is highly likely to be an endometrioma if there are no features of acute hemorrhage and especially if multilocularity or hyperechoic wall foci are present. In addition, our data indicate that a diagnosis of endometrioma is highly unlikely when no component of an adnexal mass contains low-level internal echoes. These data help to define the subgroup of patients with suspected endometriomas who may benefit from further diagnostic testing. For those masses with low-level internal echoes, follow-up US appears most useful when the mass has no wall nodularity, is unilocular, and does not possess hyperechoic wall foci, while MR imaging may be useful in discriminating between endometriomas and neoplasms when wall nodularity is present.
| Footnotes |
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Author contributions: Guarantors of integrity of entire study, M.D.P., R.A.F.; study concepts, M.D.P., V.A.F., R.A.F.; study design, M.D.P.; definition of intellectual content, M.D.P., V.A.F., R.A.F.; literature research, M.D.P., D.C.C.; data acquisition, M.D.P., V.A.F., D.C.C., S.D.L., R.A.F.; data analysis, M.D.P., R.A.F.; statistical analysis, M.D.P.; manuscript preparation, M.D.P., V.A.F., R.A.F.; manuscript editing, M.D.P., R.A.F.; manuscript review, M.D.P., V.A.F., R.A.F.
Received June 18, 1998;
revision requested July 28, 1998; revision received August 25, 1998;
accepted October 7, 1998.
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