Borderline cystic tumors of the ovary: gray-scale and color Doppler sonographic findings

Imaging of a Pelvic Mass: Uterine

The most common origin of a non-uterine pelvic mass is from the ovary. Ultrasound is the initial imaging modality of choice, additional imaging with computed tomography (CT) and/or magnetic resonance imaging (MRI) is performed in selected cases. Adnexal masses are also encountered as incidental findings during ultrasound, CT or MRI. Many of the adnexal masses that are surgically removed are benign. For optimal outcome and cost effective management, noninvasive risk stratification of such adnexal masses is necessary when discovered incidentally or when identified in a patient with a clinically detected pelvic mass. The American College of Radiology Ovarian-Adnexal Reporting Data System is a pattern-based scoring system for adnexal masses imaged with ultrasound and MRI, which assists clinicians to guide in the appropriate management based on evidence-based risk categories. Non-ovarian and non-uterine pelvic masses include fallopian tube abnormalities, paraovarian cysts, peritoneal inclusion cysts, and rare causes include masses that arise from the gastrointestinal tract or the sacrum. To distinguish non-ovarian masses from an ovarian tumor, a critical step is to identify a normal appearing ovary separate from the pelvic mass. This may be challenging in the post-menopausal woman with an atrophic ovary. MRI is a useful adjunctive modality in such cases. Extraovarian masses typically displace pelvic side wall vasculature medially, compress, encase or medially displace the ureters.

Can the ultrasound microcystic pattern accurately predict borderline ovarian tumors?

OBJECTIVE

To investigate whether the ultrasound microcystic pattern (MCP) can accurately predict borderline ovarian tumors (BOTs).

METHODS

A retrospective collection of 393 patients who met the inclusion criteria was used as the study population. Indicators that could well identify BOT in different pathological types of tumors were derived by multivariate unordered logistic regression analysis. Finally, the correlation between ultrasound MCP and pathological features was analyzed.

RESULTS

(1) MCP was present in 55 of 393 ovarian tumors, including 34 BOTs (34/68, 50.0%), 16 malignant tumors (16/88, 18.2%), and 5 benign tumors (5/237, 2.1%). (2) Univariate screening showed significant differences (P < 0.05) in patient age, CA-125 level, ascites, > 10 cyst locules, a solid component, blood flow, and MCP among BOTs, benign ovarian tumors, and malignant ovarian tumors. (3) Multivariate unordered logistic regression analysis showed that the blood flow, > 10 cyst locules, and MCP were significant factors in identifying BOTs (P < 0.05). (4) The pathology of ovarian tumors with MCP showed "bubble"- or "fork"- like loose tissue structures.

CONCLUSION

MCP can be observed in different pathological types of ovarian tumors and can be used as a novel sonographic marker to differentiate between BOTs, benign tumors and malignant tumors. MCP may arise as a result of anechoic cystic fluid filling the loose tissue gap.

The usefulness of intraoperative consultation for the diagnosis of borderline ovarian tumors

Background

Borderline ovarian tumors (BTs) must be recognized during the surgery by intraoperative consultation (IOC) to guide surgical treatment; however, this diagnosis can be imprecise. Therefore, this study aimed to evaluate the diagnostic accuracy of IOC for the diagnosis of BT.

Methods

A retrospective cohort study was carried out including all women diagnosed with a pelvic tumor consecutively surgically treated from 2005 to 2015 with IOC. We calculated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and likelihood ratios (LR) for the IOC and BTs.

Results

A total of 758 patients were enrolled, the median age was 44 years, the median tumor size was 11.8 cm, and the median CA-125 levels were 45.65 U/µL. After IOC, 458 (64.1%) cases were diagnosed as benign, 111 (14.7%) as BT, and 161 (21.2%) as malignant. The definitive diagnosis was a benign tumor in 448 (59.1%) cases, BT in 110 (14.5%), and 200 (26.4%) cases were malignant. The diagnostic accuracy of the IOC for BT diagnosis was 89.8% (sensitivity =65.5%, specificity =93.9%). The diagnosis performance of IOC for the diagnosis between BT and benign tumors (n=546) had a sensitivity of 69.9%, a specificity of 98.4%, and a diagnostic accuracy of 84%; meanwhile for the diagnosis between BT and malignant tumors (n=242) IOC had a sensitivity of 92.3%, a specificity of 81.7%, and a diagnostic accuracy of 87%.

Conclusions

For practitioners, knowing the accuracy and limitations of the IOC for BT enables the better selection of cases to perform a complete staging surgery.

Multimodality imaging review of complex pelvic lesions in female pelvis

Complex pelvic lesions can originate from various anatomical structures in the pelvis and pose a diagnostic dilemma due to a wide range of possible diagnoses. Accurate characterisation of these lesions would often require an algorithmic approach, which incorporates clinical findings, sequential use of multiple imaging modalities and a multiparametric approach. This approach usually aims at identifying key imaging features, which aid in anatomical localisation, morphology and tissue characterisation. There have been various attempts to standardise the lexicon used for describing adnexal masses in female patients; stratify their risk of cancer and suggest appropriate next steps in the management pathway. Through this review, we extend this approach to complex pelvic masses in female pelvis in general and will focus on optimal use of different imaging modalities to arrive at definitive diagnosis or meaningful differential diagnosis. We will also discuss potential pitfalls of imaging diagnosis and common mimics.

Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors

Background

This study aimed to examine the performance of the four risk of malignancy index (RMI) in discriminating borderline ovarian tumors (BOTs) and benign ovarian masses in daily clinical practice.

Methods

A total of 162 women with BOTs and 379 women with benign ovarian tumors diagnosed at the Second Affiliated Hospital of Harbin Medical University from January 2012 to December 2016 were enrolled in this retrospective study. Also, we classified these patients into serous borderline ovarian tumor (SBOT) and mucinous borderline ovarian tumor (MBOT) subgroup. Preoperative ultrasound findings, cancer antigen 125 (CA125) and menopausal status were reviewed. The area under the curve (AUC) of receiver operator characteristic curves (ROC) and performance indices of RMI I, RMI II, RMI III and RMI IV were calculated and compared for discrimination between benign ovarian tumors and BOTs.

Results

RMI I had the highest AUC (0.825, 95% CI: 0.790–0.856) among the four RMIs in BOTs group. Similar results were found in SBOT (0.839, 95% CI: 0.804–0.871) and MBOT (0.791, 95% CI: 0.749–0.829) subgroups. RMI I had the highest specificity among the BOTs group (87.6, 95% CI: 83.9–90.7%), SBOT (87.6, 95% CI: 83.9–90.7%) and MBOT group (87.6, 95% CI: 83.9–90.7%). RMI II scored the highest overall in terms of sensitivity among the BOTs group (69.75, 95% CI: 62.1–76.7%), SBOT (74.34, 95% CI: 65.3–82.1%) and MBOT (59.18, 95% CI: 44.2–73.0%) group.

Conclusion

Compared to other RMIs, RMI I was the best-performed method for differentiation of BOTs from benign ovarian tumors. At the same time, RMI I also performed best in the discrimination SBOT from benign ovarian tumors.

New sonographic marker of borderline ovarian tumor: microcystic pattern of papillae and solid components

OBJECTIVE

To describe and evaluate the utility of a new sonographic microcystic pattern, which is typical of borderline ovarian tumor (BOT) papillary projections, solid component(s) and/or septa, as a new ultrasound marker that is capable of distinguishing BOT from other adnexal masses, and to present/obtain histologic confirmation.

METHODS

In this retrospective study, we identified women with a histologic diagnosis of BOT following surgical resection who had undergone preoperative transvaginal ultrasound (TVS) examination. All images were reviewed for presence or absence of thin-walled, fluid-filled cluster(s) of 1-3-mm cystic formations, associated with solid component(s), papillary projections and/or septa. From the same cases, histopathologic slides of each BOT were examined for presence of any of these microcystic features which had been identified on TVS. To confirm that the microcystic TVS pattern is unique to BOTs, we also selected randomly from our ultrasound and surgical database 20 cases of epithelial ovarian cancer and 20 cases of benign cystadenoma, for review by the same pathologists. To confirm the novelty of our findings, we searched PubMed for literature published in the English language between 2010 and 2018 to determine whether the association between microcystic tissue pattern and BOT has been described previously.

RESULTS

Included in the final analysis were 62 patients (67 ovaries) with preoperative TVS and surgically confirmed BOT on pathologic examination. The mean patient age at surgery was 39.8 years. The mean BOT size at TVS was 60.7 mm. Of the 67 BOTs, 47 (70.1%) were serous, 15 (22.4%) were mucinous and five (7.5%) were seromucinous. We observed on TVS a microcystic pattern in the papillary projections, solid component(s) and/or septa in 60 (89.6%) of the 67 BOTs, including 46 (97.9%) of the 47 serous BOTs, 11 (73.3%) of the 15 mucinous BOTs and three (60.0%) of the five seromucinous BOTs. On microscopic evaluation, 60 (89.6%) of the 67 samples had characteristic 1-3-mm fluid-filled cysts similar to those seen on TVS. In seven cases there was a discrepancy between sonographic and histologic observation of a microcystic pattern. The 20 cystadenomas were mostly unilocular and/or multilocular and largely avascular. None of them or the 20 epithelial ovarian malignancies displayed microcystic characteristics, either on TVS or at histology. On review of 23 published articles in the English medical literature, containing 163 sonographic images of BOT, we found that, while all images contained it, there was no description of the microcystic tissue pattern.

CONCLUSION

We report herein a novel sonographic marker of BOT, a 'microcystic pattern' of BOT papillary projections, solid component(s) and/or septa. This was seen in the majority of both serous and mucinous BOT cases. Importantly, based on comparison of sonographic images and histopathology of benign entities and malignancies, the microcystic appearance seems to be unique to BOTs. No similar description has been published previously. Utilization of this new marker should help to identify BOT correctly, discriminating it from ovarian cancer and benign ovarian pathology, and should ensure appropriate clinical and surgical management. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

Imaging and Differential Diagnosis of Ovarian Cancer

Ovarian cancer is the seventh most common cancer affecting women. Despite advances in cancer control and healthcare in general, mortality from ovarian cancer remains unacceptably high due to diagnosis at an advanced stage of the disease. The 5-year survival rate is 47.4% because a majority of ovarian cancers are diagnosed when advanced. Only 14.9% of ovarian cancers are diagnosed when localized where the survival rate is 92.3%. Mortality rate reduction by screening has not been proven in women at an average risk for ovarian cancer. Ultrasound remains the primary modality for assessment of ovarian tumors. The need for standardizing terminology is critical for optimal assessment of the risk of malignancy in an ovarian tumor. The international ovarian tumor analysis group and more recently the American College of Radiology Ovarian - Adnexal Reporting and Data System Committee have published standardized lexicon for ovarian lesions and encourage ultrasound imagers to adopt this standardized terminology. The aim is to apply the lexicon for risk stratification to allow for consistent follow-up and management. Various methodologies have been tested for characterization of adnexal tumors and to assess risk of malignancy preoperatively. Risk assessment models have been studied against the gold standard of a pattern recognition approach and subjective assessment by an experienced imager. The morphologic patterns of ovarian tumors are detailed and features that are more discriminatory than others in suggesting an ovarian malignancy are described. The imaging pathologic correlation for different tumor types is presented. A brief summary of the ovarian cancer pathologic types and staging of cancer is presented. Finally, the current role of transvaginal sonography as a screening modality for ovarian cancer is discussed. Recently published data show encouraging results, that a multimodal approach of screening for ovarian cancer using transvaginal sonography in women with an elevated CA-125 may prove beneficial and cost effective.

Differentiating between borderline and invasive malignancies in ovarian tumors using a multivariate logistic regression model

OBJECTIVE

The objective of this study was to build a model to differentiate between borderline and invasive ovarian tumors.

MATERIALS AND METHODS

We performed a retrospective study involving 148 patients with borderline or invasive ovarian tumors in our institute between 1997 and 2012. Clinical and pathologic data were collected. Logistic regression was used to build the model.

RESULTS

The model was created based on the following variables (p < 0.05): menopausal status; preoperative serum level of cancer antigen 125; the greatest diameter of the tumor; and the presence of solid parts on ultrasound imaging. The sensitivity and specificity of the model were 94.6% [95% confidence interval (CI), 0.887-1] and 78.3% (95% CI, 0.614-0.952) for patients aged ≥ 50 years, and 76.0% (95% CI, 0.622-0.903) and 60.0% (95% CI, 0.438-0.762) for those aged < 50 years, respectively. The performance of the model was tested using cross-validation.

CONCLUSION

Differentiation between borderline and invasive ovarian tumors can be achieved using a model based on the following criteria: menopausal status; cancer antigen 125 level; and ultrasound parameters. The model is helpful to oncologists and patients in the initial evaluation phase of ovarian tumors.

The characteristic ultrasound features of specific types of ovarian pathology (review)

Characterizing ovarian masses enables patients with malignancy to be appropriately triaged for treatment by subspecialist gynecological oncologists, which has been shown to optimize care and improve survival. Furthermore, correctly classifying benign masses facilitates the selection of patients with ovarian pathology that may either not require intervention, or be suitable for minimal access surgery if intervention is required. However, predicting whether a mass is benign or malignant is not the only clinically relevant information that we need to know before deciding on appropriate treatment. Knowing the specific histology of a mass is becoming of increasing importance as management options become more tailored to the individual patient. For example predicting a mucinous borderline tumor gives the opportunity for fertility sparing surgery, and will highlight the need for further gastrointestinal assessment. For benign disease, predicting the presence of an endometrioma and possible deeply infiltrating endometriosis is important when considering both who should perform and the extent of surgery. An examiner’s subjective assessment of the morphological and vascular features of a mass using ultrasonography has been shown to be highly effective for predicting whether a mass is benign or malignant. Many masses also have features that enable a reliable diagnosis of the specific pathology of a particular mass to be made. In this narrative review we aim to describe the typical morphological features seen on ultrasound of different adnexal masses and illustrate these by showing representative ultrasound images.

Ultrasonographic markers and preoperative CA-125 to distinguish between borderline ovarian tumors and stage I ovarian cancer

OBJECTIVE

Preoperative evaluation of ovarian masses has become increasingly important for optimal planning of treatment. The aim of this study was to assess the role of preoperative serum cancer antigen 125 (CA-125) levels in correlation with ultrasonographic features in order to distinguish between borderline ovarian tumors (BOTs) and stage I epithelial ovarian carcinoma (EOC).

DESIGN

Retrospective study.

SETTING

Tertiary University Hospital.

POPULATION

We reviewed all women with BOTs and stage I EOC from January 2000 to December 2010. Data from 165 women (66 BOTs and 99 stage I EOC) were analyzed.

METHODS

Multivariable logistic regression with stepwise selection of variables was used to determine which clinical variables, ultrasound features and CA-125 level were independently associated with invasiveness.

MAIN OUTCOME MEASURES

Utility of ultrasonographic markers and CA-125 in the preoperative differential diagnosis between BOTs and stage I EOC.

RESULTS

Women with CA-125 > 100 IU mL(-1) had almost three times greater likelihood of belonging in the EOC group [odds ratio (OR) 3.02; confidence interval (CI) 95%: 1.13-8.12]. Furthermore, the presence of large solid component (≥20% of the tumor comprised of solid components) was associated with 4.25 times greater odds of it to representing ovarian cancer rather than a BOT (OR 4.25; 95% CI: 2.05-8.82). In contrast, the presence of papillary projections was associated with a 73% lower likelihood of EOC (OR 0.27; 95% CI: 0.13-0.58).

CONCLUSIONS

Preoperative CA-125 > 100 IU mL(-1) combined with the presence of a large solid component and the absence of papillary projections seems to improve the discriminative ability in favor of stage I EOC.

Diagnosis, treatment, and follow-up of borderline ovarian tumors

Borderline ovarian tumors represent a heterogeneous group of noninvasive tumors of uncertain malignant potential with characteristic histology. They occur in younger women, are present at an early stage, and have a favorable prognosis, but symptomatic recurrence and death may be found as long as 20 years after therapy in some patients. The molecular changes in borderline ovarian tumors indicate linkage of this disease to type I ovarian tumors (low-grade ovarian carcinomas). The pathological stage of disease and subclassification of extraovarian disease into invasive and noninvasive implants, together with the presence of postoperative macroscopic residual disease, appear to be the major predictor of recurrence and survival. However, it should be emphasized that the most important negative prognostic factor for recurrence is just the use of conservative surgery, but without any impact on patient survival because most recurrent diseases are of the borderline type-easily curable and with an excellent prognosis. Borderline tumors are difficult masses to correctly preoperatively diagnose using imaging methods because their macroscopic features may overlap with invasive and benign ovarian tumors. Over the past several decades, surgical therapy has shifted from a radical approach to more conservative treatment; however, oncologic safety must always be balanced. Follow-up is essential using routine ultrasound imaging, with special attention paid to the remaining ovary in conservatively treated patients. Current literature on this topic leads to a number of controversies that will be discussed thoroughly in this article, with the aim to provide recommendations for the clinical management of these patients.

Evaluation of selected ultrasonographic parameters and marker levels in the preoperative differentiation of borderline ovarian tumors and ovarian cancers

Abstract

Objectives

In young patients with borderline tumors the fertility-sparing treatment is indicated, thus the preoperative investigation is important. The aim of this study was to perform a comparative assessment of sensitivity and specificity of selected ultrasonographic and clinical parameters for the diagnoses of borderline tumors and ovarian cancers.

Methods

We retrospectively analyzed 57 patients who underwent surgical treatment in the Maria Sklodowska-Curie Memorial Cancer Center from Jan 01, 2008 to Dec 31, 2009. Ovarian cancers were diagnosed in 41 patients, and borderline ovarian tumors in 16 patients. Statistical model was developed to determine independent predictive factors that would be useful in preoperative differentiation between both tumors. The model included the following factors: menopausal status, tumor morphology, wall thickness (including outgrowths), septal thickness, echogenicity, resistive index, serum CA-125 level, and free fluid in the peritoneal cavity.

Results

Based on the statistical model developed, independent predictive factors in the differentiation between ovarian cancers and borderline tumors included the menopausal status (P = 0.005), tumor echogenicity (P = 0.047) and the presence of free fluid in the Douglas pouch (P = 0.043). With the cutoff value of 13 (with scores below 13 indicating a borderline ovarian tumor, and scores of ≥13 indicating ovarian cancer), sensitivity was 90.2 % and specificity was 87 %.

Conclusions

Our proposed model of preoperative evaluation has a sensitivity of 90 % in the differentiation between ovarian cancers and borderline tumors. When combined with intraoperative findings, it allows optimal surgical therapeutic decisions to be made in patients with borderline ovarian tumors.

Comparison of risk of malignancy index (RMI), CA125, CA 19-9, ultrasound score, and menopausal status in borderline ovarian tumor

OBJECTIVE

The aim of this study was to assess the prognostic values of risk of malignancy index (RMI IV), ultrasound score, menopausal status, and serum CA125 and CA19-9 level in patients with borderline ovarian tumor (BOT).

METHODS

Fifty women having borderline ovarian tumor (BOT) and 5O individuals with benign adnexal mass were enrolled in this retrospective study. The sensitivity, specificity, positive predictive values, negative predictive values and diagnostic accuracy of preoperative serum levels of the CA125 and CA19-9, ultrasound findings and menopausal status, and RMI IV were calculated for prediction of discrimination between BOTs and benign adnexal masses and the results were compared.

RESULTS

The RMI IV was the best method for discrimination between BOTs and benign adnexal masses and was more accurate than the other parameters. When Receiver Operator Characteristic area under the curves for menopausal status was analyzed, serum CA 125 and CA19-9 level, ultrasound score, RMI IV(CA125), and RMI IV(CA19-9) were, 0.580, 0.625, 0.548, 0.694, 0.734 and 0.711, respectively. The best RMI IV cut-off was found to be 200 for discrimination of benign and BOT lesions. In the RMI formulation, replacing CA125 with CA19-9 didn't affect RMI IV sensitivity and specificity for discrimination.

CONCLUSION

Compared to ultrasound, menopausal status, CA-125, CA19-9, the RMI IV was found to be the best predictive method for differentiation of BOTs from benign adnexal masses. RMI IV cut-off value of 200 is suitable for differentiation of benign and BOT's.

Peri- and post-menopausal incidental adnexal masses and the risk of sporadic ovarian malignancy: new insights and clinical management

Adnexal masses are common among peri- and post-menopausal women. Although ovarian cancer is a significant cause of mortality in menopausal women, large population-based studies demonstrate that the majority of adnexal masses are benign. Despite this, the appearance of an adnexal mass is a concern for the patient and an insight exercise for physicians. In most cases, an adnexal enlargement is an incidental finding, generally corresponding to a benign cyst and easily diagnosed by conventional ultrasound. Exceptionally an ovarian tumour may be malignant and should be treated as early as possible. When conventional ultrasound renders complex morphology other diagnostic tools must be used such as: colour Doppler and functional tumour vessel properties, serum CA 125 levels, nuclear magnetic resonance imaging and in some cases laparoscopy. Several new tumour markers are being studied for clinical application, although there are presently no clear recommendations. Adnexal masses with benign morphological and functional properties must be periodically monitored as an alternative to surgery since malignant transformation is exceptional.

Power Doppler in the assessment of pelvic masses in a low risk group

Discrimination between benign and malignant adnexal masses aids in optimising the management of women with pelvic tumours. A grading system incorporating grey-scale and power Doppler measurements might increase the accuracy of pre-operative assessment. The present study aimed to assess the sensitivity and specificity of a grading system including grey-scale and power Doppler findings. A total of 179 women who had undergone power Doppler Ultrasound for a pelvic mass between April 2001 and March 2003 were identified. Masses were surveyed by grey-scale and power Doppler and graded in relation to the estimated risk of malignancy. Clinicians were provided with the findings. The results were compared with the findings at surgery. A total of 74.3% were premenopausal. Some 94.4% (n = 169) had benign; 1.7% borderline and 3.9% malignant histology. A total of 69% underwent surgery. Specificity was 72.2 - 95.9%; sensitivity 55.6 - 88.9% and negative predictive value 97.6 - 99.2%. Power Doppler as an additional diagnostic aid may help the clinician in the management of pelvic masses. Further research is needed to clarify sensitivity and specificity.

Sonographic Evaluation of an Ovarian Borderline Epithelial Tumor

Borderline tumors are a special category of epithelial ovarian tumors that share both benign and malignant features. Women who have borderline tumors, if found at an early stage, have an excellent prognosis. With the advancement of transvaginal sonography, the likelihood of finding these ovarian lesions at an early stage, when a conservative treatment can be used, is high. Borderline tumors tend to occur in women of reproductive age. Therefore, accurate preoperative diagnosis is important so a fertility-sparing procedure can be employed whenever possible.

Accuracy of ultrasound subjective 'pattern recognition' for the diagnosis of borderline ovarian tumors

OBJECTIVES

To assess the value of pattern recognition for the preoperative ultrasound diagnosis of borderline ovarian tumors (BOTs).

METHODS

This was a prospective study of women who were referred to our regional cancer center with the diagnosis of an adnexal mass on a Level II (routine) gynecological ultrasound scan. Women with lesions of uncertain nature were referred for a Level III (expert) ultrasound scan in our tertiary center. The tumor pattern recognition method was used to differentiate between various types of ovarian tumors. Morphological features suggestive of BOTs were: unilocular cyst with a positive ovarian crescent sign and extensive papillary projections arising from the inner wall, or a cyst with a well defined multilocular nodule. The ultrasound findings were compared with the final histological diagnosis.

RESULTS

A total of 224 women with an adnexal mass of uncertain nature were referred for an expert scan, 166 (74.1%) of whom underwent surgery. In this group of women the final histological diagnoses were: 99 (60%) benign lesions, 32 (19%) invasive ovarian cancer and 35 (21%) BOTs. Using pattern recognition combining the different morphological features, a correct preoperative diagnosis of BOT was made in 24/35 (68.6%) women: area under the receiver-operating characteristics curve 0.812 (standard error 0.049; 95% CI, 0.716-0.908), sensitivity 0.69 (95% CI, 0.52-0.81), specificity 0.94 (95% CI, 0.88-0.97), positive likelihood ratio 11.3 (95% CI, 5.53-22.8) and negative likelihood ratio 0.34 (95% CI, 0.21-0.55).

CONCLUSIONS

Ultrasound diagnosis of BOTs is highly specific. However, typical features are absent in one-third of cases, which are typically misdiagnosed as benign lesions.

Results of the national survey of borderline ovarian tumors in Spain

MATERIAL AND METHODS

Retrospective multi-center analysis of women diagnosed with borderline ovarian tumor and treated between January 1990 and December 1997. A national survey was conducted, in which 457 patients from 27 centers corresponding to ten of Spain's autonomous communities were analyzed.

RESULTS

Four hundred fifty-seven women with borderline ovarian tumor were analyzed. The mean age of patients was 45.5+/-16.9 years. Of these, 390 patients (85.3%) were at stage I, 8 (1.8%) were at stage II and 36 (7.9%) at stage III. A bilateral tumor was observed in 63 women (13.8%). The mean tumor size was 14.2 cm and in 88 cases (19.3%) the tumor was on the surface of the ovary. Microinvasion was observed in 25 (5.5%) cases, and 29 women (6.3%) showed a micropapillary pattern. Study of the factors related to the appearance of peritoneal implants revealed positive tumor markers (OR 15.02: 1.9-32.9) and a tumor on the ovarian surface (OR 8.0: 1.8-127) to be independent risk factors. With respect to recurrence, the presence of peritoneal implants at the time of initial surgery (OR 3.4: 1.1-10.4) and signs of microinvasion in the anatomicopathological study (OR 5.5: 1.5-17.8) were found to be independent risk factors. The overall survival rate in our series was 97% with a mean follow-up of 88.3 months. The survival rate by stage was 97% for stage I, 100% for stage II and 97% for stage III.

CONCLUSIONS

Although borderline ovarian tumors have an excellent prognosis, they are not exempt from a risk of recurrence. Characterization of patients with borderline ovarian tumor is essential in order to prevent their evolution. Likewise, the taking on board of risk factors will enable more selective treatments to be offered in each case.

Which extrauterine pelvic masses are difficult to correctly classify as benign or malignant on the basis of ultrasound findings and is there a way of making a correct diagnosis?

OBJECTIVES

To determine which extrauterine pelvic masses are difficult to correctly classify as benign or malignant on the basis of ultrasound findings, and to determine if the use of logistic regression models for calculation of individual risk of malignancy would improve the diagnostic accuracy in difficult tumors.

METHODS

In a prospective, international, European multicenter study involving nine centers, 1066 women with a pelvic mass judged to be of extrauterine origin underwent transvaginal ultrasound examination by an experienced ultrasound examiner before surgery. A standardized examination technique and predefined definitions of ultrasound characteristics were used. On the basis of subjective evaluation of ultrasound findings, the examiner classified each mass as being certainly benign, probably benign, unclassifiable, probably malignant or certainly malignant. Even when the examiner found the mass unclassifiable (i.e. difficult mass) he or she was obliged to state whether the mass was more likely to be benign or malignant. Borderline tumors were classified as malignant.

RESULTS

There were 90 (8%) unclassifiable masses. Multiple logistic regression analysis showed papillary projections, >10 locules in a cyst without solid components, low-level echogenicity of cyst fluid, and moderate vascularization as assessed subjectively at color Doppler examination to be ultrasound variables independently associated with unclassifiable mass. Borderline malignant tumors (n = 55) proved to be most difficult to assess with only 47% being correctly classified (i.e. classified as malignant), 29% being incorrectly classified (i.e. classified as benign) and 24% being unclassifiable vs. 90% of non-borderline tumors being correctly classified, 3% being incorrectly classified and 8% being unclassifiable (P < 0.0001). Papillary cystadeno(fibro)mas, myomas and cases of struma ovarii were also more common among the unclassifiable masses than among the classifiable ones (5.6% vs. 1.1%, P = 0.008; 4.4% vs. 0.9%, P = 0.02; 4.4% vs. 0.2%, P = 0.0006). No ultrasound variable or clinical variable (including CA 125) entered a logistic regression model to predict malignancy in difficult masses. A model could be constructed for difficult masses containing papillary projections but this model performed no better than subjective evaluation of the ultrasound image. Sensitivity and specificity of subjective evaluation with regard to malignancy in the group of unclassifiable masses were 56% (14/25) and 77% (50/65) vs. 91% (220/241) and 97% (712/735) in the classifiable masses.

CONCLUSIONS

Borderline tumors cause great diagnostic difficulties, but so do papillary cystadeno(fibro)mas, struma ovarii and some myomas. Logistic regression models do not solve the diagnostic problem in difficult pelvic masses.

Ultrasound features of different histopathological subtypes of borderline ovarian tumors

OBJECTIVE

To describe the gray-scale sonographic and color Doppler imaging features of the most common histopathological subtypes of borderline ovarian tumors.

METHODS

We analyzed retrospectively the preoperative transvaginal sonographic reports of patients with a histological diagnosis of borderline ovarian tumor. All patients were scanned consecutively by two of the investigators using transabdominal and transvaginal gray-scale imaging to assess the morphology and color Doppler to obtain indices of the blood flow. Sonographic findings were compared to histopathological data.

RESULTS

A total of 113 consecutive cases were reviewed from two referral centers for gynecological oncology. At histological examination 50 tumors (44%) were classified as being serous borderline ovarian tumors (SBOT), 61 (54%) were mucinous borderline ovarian tumors (MBOT) (42 intestinal type and 19 endocervical type), and two patients (2%) presented with borderline endometrioid tumors. SBOTs and endocervical-type MBOTs had very similar sonographic features and a smaller diameter, fewer locules (usually unilocular-solid lesions) and a higher color score than intestinal-type MBOTs. Intestinal-type MBOTs were characterized by a significantly higher percentage of lesions with > 10 locules when compared with the endocervical-type MBOTs.

CONCLUSION

Intestinal-type MBOTs have different sonographic features from other common borderline ovarian tumors.

Preoperative sonographic features of borderline ovarian tumors

OBJECTIVE

To determine the sonographic findings that distinguish borderline ovarian tumors (BOT) from both benign and invasive malignant tumors, thus allowing conservative treatment and laparoscopic management of these tumors.

METHODS

We reviewed retrospectively transvaginal sonograms of 33 women who, when evaluated further by surgery and histology, were found to have BOT. Twenty-three were premenopausal and 10 were postmenopausal (mean age +/- SD, 45.8 +/- 15.7 years). For each mass, size and morphological features and power Doppler characteristics were evaluated. We compared these findings with those of 337 patients with benign ovarian tumors and those of 82 patients with invasive malignant ovarian tumors. Patients with dermoid cysts were not included in the study.

RESULTS

Of the 33 BOT, 15 were mucinous and 18 were serous cystadenomas. The presence of papillae, defined as a small number of solid tissue projections, 1-15 mm in height and 1-10 mm in width (base) and length (base), into the cyst cavity from the cyst wall, was significantly more frequent in BOT (48%) than it was in benign (4%) and invasive (4%) malignant tumors. Intracystic solid tissue (> 15 mm in height or > 10 mm in width or length) was observed in 48% of invasive malignant masses but in only 18% of BOT and in 7% of benign tumors (P < 0.001). No sonographically unilocular, hypoechoic, smooth-walled adnexal cysts were invasively malignant but three unilocular cysts with a diameter of > 6 cm were serous BOT. Although close attention was paid to the cyst wall at ultrasound examination we did not observe in these three cysts the very small papillae which were found at histological analysis.

CONCLUSIONS

The most frequent diagnostic feature on imaging BOT is the presence of papillae within the cyst. However, neither papillae nor other sonographic features constituted highly sensitive sonographic markers of BOT.

Low-malignant-potential tumor of the ovary: sonographic features with clinicopathologic correlation in 41 patients

The biologic, behavioral, and pathologic features of low-malignant-potential (LMP) tumor of the ovary are distinct from their invasive counterpart. LMP tumors affect patients at a younger age and have a much better 5- and 20-year survival rate compared with invasive ovarian malignancy. The authors retrospectively reviewed the records and sonograms of 41 patients (51 masses) with LMP tumor of the ovary. They demonstrated a wide variety of morphologies on the presentation sonograms with six masses favored to be benign, four indeterminate, 18 likely malignant, and 23 clearly malignant. Eighteen of 51 masses (35.3%) had a unique appearance-a cyst within the ovary of small to medium size with vascular mural nodularity and preserved surrounding ovarian parenchyma. Low-level echoes within the cystic components of the mass, reminiscent of typical endometrioma, were present in 19 of 51 masses (37.2%). Peritoneal dissemination was present in six patients at presentation, all! whom were alive at follow-up between 45 and 120 months. The authors think that many LMP tumors may be recognized and treated while they are still small. Ovary-sparing surgery may preserve patient fertility. LMP tumors may present initially with a benign morphology, although temporal evolution tends to show more suspicious features. Because these tumors may also appear frankly malignant or show peritoneal dissemination, the possibility of LMP tumor must be considered in light of their much better prognosis compared with invasive ovarian malignancy.