Evaluation of the Risk of Malignancy Index in daily clinical management of adnexal masses

Sensitivity and Specificity of Selected Biomarkers and Their Combinations in the Diagnosis of Ovarian Cancer

One of the greatest challenges in modern gynecological oncology is ovarian cancer. Despite the numerous studies currently being conducted, it is still sometimes detected at late clinical stages, where the prognosis is unfavorable. One significant contributing factor is the absence of sensitive and specific parameters that could aid in early diagnosis. An ideal screening test, in view of the low incidence of ovarian cancer, should have a sensitivity of greater than 75% and a specificity of at least 99.6%. To enhance sensitivity and specificity, diagnostic panels are being created by combining individual markers. The drive to develop better screening tests for ovarian cancer focuses on modern diagnostic methods based on molecular testing, which in turn aims to find increasingly effective biomarkers. Currently, researchers' efforts are focused on the search for a complementary parameter to those most commonly used that would satisfactorily enhance the sensitivity and specificity of assays. Several biomarkers, including microRNA molecules, autoantibodies, cDNA, adipocytokines, and galectins, are currently being investigated by researchers. This article reviews recent studies comparing the sensitivity and specificity of selected parameters used alone and in combination to increase detection of ovarian cancer at an early stage.

HE4 as a serum biomarker for the diagnosis of pelvic masses: a prospective, multicenter study in 965 patients

Background

To evaluate the diagnostic value of adding human epididymis protein 4 (HE4), cancer antigen 125 (CA125) and risk of malignancy algorithm (ROMA) to ultrasound for detecting ovarian cancer in patients with a pelvic mass.

Methods

This was a prospective, observational, multicenter study. Patients aged > 18 years who were scheduled to undergo surgery for a suspicious pelvic mass had CA125 and HE4 levels measured prior to surgery, in addition to a routine transvaginal ultrasound scan. The diagnostic performance of CA125, HE4 and ROMA for distinguishing between benign and malignant adnexal masses was assessed using receiver operating characteristic (ROC) analysis and the corresponding area under the curve (AUC).

Results

Of 965 evaluable patients, 804 were diagnosed with benign tumors and 161 were diagnosed with ovarian cancer. In late-stage ovarian cancer, CA125, HE4 and ROMA all had an excellent diagnostic performance (AUC > 0.92), whereas in stage I and II, diagnostic performance of all three biomarkers was less adequate (AUC < 0.77). In the differential diagnosis of ovarian cancer and endometriosis, ROMA and HE4 performed better than CA125 with 99 and 98.1% versus 75.0% sensitivity, respectively, at 75.4% specificity.

Conclusions

ROMA and HE4 could be valuable biomarkers to help with the diagnosis of ovarian cancer in premenopausal patients in order to differentiate from endometriosis, whereas CA125 may be more adequate for postmenopausal patients.

• Serum biomarkers can help to distinguish benign from malignant pelvic masses

• We evaluated the diagnostic value of adding HE4, CA125 and ROMA to ultrasound for detecting ovarian cancer

• In stage III and IV ovarian cancer all three biomarkers showed excellent performance

• ROMA and HE4 performed better than CA125 in the differential diagnosis of ovarian cancer and endometriosis

Stacking Machine Learning Algorithms for Biomarker-Based Preoperative Diagnosis of a Pelvic Mass

Simple Summary

It is critical for women who are diagnosed with a pelvic mass, or an ovarian cyst to be accurately assessed for their risk of having an ovarian malignancy. Accurate risk stratification for these women will allow for appropriate triage and referral to centers best equipped to treat women diagnosed with ovarian cancer. In this study, machine learning (ML) algorithms were used to determine the optimal combination of biomarkers for prediction of malignancy in women presenting with a pelvic mass. Nine unique ML algorithms were employed to evaluate age, menopausal status, race, and levels of 67 biomarkers from serum, urine, and plasma samples prospectively collected in a cohort 140 women with a variety of pelvic mass diagnoses benign and malignant. A complex statistical algorithm using serum levels of CA125, HE4 and transferrin provided greater than 93% sensitivity and specificity for the preoperative prediction of malignancy in women presenting with a pelvic mass.

Abstract

Objective: To identify the most predictive parameters of ovarian malignancy and develop a machine learning (ML) based algorithm to preoperatively distinguish between a benign and malignant pelvic mass. Methods: Retrospective study of 70 predictive parameters collected from 140 women with a pelvic mass. The women were split into a 3:1 “training” to “testing” dataset. Feature selection was performed using Gini impurity through an embedded random forest model and principal component analysis. Nine unique ML classifiers were assessed across a variety of model-specific hyperparameters using 25 bootstrap resamples of the training data. Model predictions were then combined into an ensemble stack by LASSO regression. The final ensemble stack and individual classifiers were then applied to the testing dataset to assess model performance. Results: Feature selection identified HE4, CA125, and transferrin as three predictive parameters of malignancy. Assessment of the ensemble stack on the testing dataset outperformed all individual ML classifiers in predicting malignancy. The ensemble stack demonstrated an accuracy of 97.1%, a receiver operating characteristic (ROC) area under the curve (AUC) of 0.951, and a sensitivity of 93.3% with a specificity of 100%. Conclusions: Combining the measurement of three distinct biomarkers with the stacking of multiple ML classifiers into an ensemble can provide valuable preoperative diagnostic predictions for patients with a pelvic mass.

Comparison of the four malignancy risk indices in the discrimination of malignant ovarian masses: A cross-sectional study

OBJECTIVE

To evaluate the accuracy of the four malignancy risk indices to distinguish benign from malignant ovarian masses MATERIALS AND METHODS: This was an observational cross-sectional study conducted on 155 patients between January 2016 and January 2019. Women with ovarian masses planned for surgical management were recruited from the outpatient Gynecology clinic of the hospital. The risk of malignancy index (RMI 1-4) was calculated for all women with ovarian masses. Biopsies obtained from the ovarian masses after the surgical intervention was sent to the pathology lab for histopathological examination. The histopathologic diagnosis of the ovarian masses was considered the gold standard for diagnosis.

RESULTS

The participants' mean age in the group of patients with benign masses was 33.50 ± 14.53 years versus 45.09 ± 13.67 years in the malignant group. The two most prominent features in the malignant group were solid areas in 85.3 % of malignant masses and about 91.2 % of malignant masses showing size <7 cm in their largest diameter. The RMI's most sensitive individual parameter was the CA-125 level, while the lowest sensitivity was for the menopausal status. RMI 2 had the highest sensitivity of 76.47 %, while RMI 1 and 3 had the highest specificity, 92.56 %. RMI 2 had the highest AUC, 0.83.

CONCLUSIONS

RMI 2 is a simple and reliable tool and had the best performance among all RMIs in benign discrimination from malignant ovarian masses with high sensitivity and accuracy.

Increased Diagnostic Accuracy of Adnexal Tumors with A Combination of Established Algorithms and Biomarkers

Ovarian cancer is the most lethal gynecologic cancer. Pre-diagnostic testing lacks sensitivity and specificity, and surgery is often the only way to secure the diagnosis. Exploring new biomarkers is of great importance, but the rationale of combining validated well-established biomarkers and algorithms could be a more effective way forward. We hypothesized that we can improve differential diagnostics and reduce false positives by combining (a) risk of malignancy index (RMI) with serum HE4, (b) risk of ovarian malignancy algorithm (ROMA) with a transvaginal ultrasound score or (c) adding HE4 to CA125 in a simple algorithm. With logistic regression modeling, new algorithms were explored and validated using leave-one-out cross validation. The analyses were performed in an existing cohort prospectively collected prior to surgery, 2013-2016. A total of 445 benign tumors and 135 ovarian cancers were included. All presented models improved specificity at cut-off compared to the original algorithm, and goodness of fit was significant (p < 0.001). Our findings confirm that HE4 is a marker that improves specificity without hampering sensitivity or diagnostic accuracy in adnexal tumors. We provide in this study "easy-to-use" algorithms that could aid in the triage of women to the most appropriate level of care when presenting with an unknown ovarian cyst or suspicious ovarian cancer.

Multiple biomarker algorithms to predict epithelial ovarian cancer in women with a pelvic mass: Can additional makers improve performance?

INTRODUCTION

Management of a woman with a pelvic mass is complicated by difficulty in discriminating malignant from benign disease. Many serum biomarkers have been examined to determine their sensitivity for detecting malignancy. This study was designed to evaluate if the addition of biomarkers to HE4 and CA125, as used in the Risk of Malignancy Algorithm (ROMA), can improve the detection of EOC.

METHODS

This was an IRB approved, prospective clinical trial examining serum obtained from women diagnosed with a pelvic mass who subsequently underwent surgery. Serum biomarker levels for CA125, HE4, YKL-40, transthyretin, ApoA1, Beta-2-microglobulin, transferrin, and LPA were measured. Logistic regression analysis was performed for various marker combinations, ROC curves were generated, and the area under the curves (AUCs) were determined.

RESULTS

A total of 184 patients met inclusion criteria with a median age of 56 years (Range 20-91). Final pathology revealed there were 103 (56.0%) benign tumors, 4 (2.2%) LMP tumors, 61 EOC (33.1%), 2 (1.1%) non-EOC ovarian cancers, 6 (3.3%) gynecologic cancers with metastasis to the ovary and 8 (4.3%) non-gynecologic cancers with metastasis to the ovary. The combination of HE4 and CA125 (i.e. ROMA) achieved an AUC of 91.2% (95% CI: 86.0-96.4) for the detection of EOC vs benign disease. The combination of CA125, HE4, YKL-40, transthyretin, ApoA1, Beta 2 microglobulin, transferrin, LPA and menopausal status achieved the highest AUC of 94.6% (95% CI: 90.1-99.2) but this combination was not significantly better than the HE4 and CA125 combination alone (p = 0.078).

CONCLUSIONS

The addition of select further serum biomarkers to HE4 and CA125 does not add to the performance of the dual marker combination for the detection of ovarian cancer.

Assessment of the diagnostic value of using serum CA125 and GI-RADS system in the evaluation of adnexal masses

Cancer antigen 125 (CA125) is a valuable tumor marker for ovarian cancer. Gynecology Imaging Reporting and Data System (GI-RADS) is proved to be effective at identifying the adnexal masses. We investigated whether the combination of these two methods can improve the diagnostic accuracy of ovarian cancer.We retrospectively analyzed preoperative data of 325 patients diagnosed with suspected adnexal mass, 196 patients with benign ovarian masses and 129 with malignant ovarian cancer (stage I: 34, II: 16, III: 61, IV: 18). CA125 was analyzed using the ARCHITECT system, GI-RADS was evaluated according to the International Ovarian Tumor Analysis consensus nomenclature and definitions. Sensitivities and specificities were also calculated for GI-RADS, CA125 and the combinations.The sensitivity, specificity and accuracy of CA125, GI-RADS were 75.97%, 79.59%, 78.15%, and 90.70%, 90.82%,90.77%, the combination data were 94.79%, 96.00%,95.53%. The AUC of combined diagnostic methods was the largest and significantly better compared with each method alone, P < .001). For stage I-II malignancy, GI-RADS as a single method was superior to CA125.Combined use of serum CA 125 and GI-RADS system improved the identification of adnexal masses at high risk of malignancy and could be used for clinical decision-making.

Assessment of Diagnostic Value of Serum Ca-125 and Risk of Malignancy Index Scoring in the Evaluation of Adnexal Masses

Introduction:

Adnexal masses have a wide spectrum with respect to the age of presentation, signs and symptoms, imaging findings, and histopathology report.

Materials and Methods:

This is a cross-sectional diagnostic study, conducted at All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India. The data were collected from department of gynecology over a period of 1½ years from June 2017 to December 2018. All women who were diagnosed to have an adnexal mass irrespective to age, parity, and menopausal status were included in the study. Ultrasonography of the abdomen with the pelvis was ordered in all patients followed by contrast-enhanced computed tomography or magnetic resonance imaging in selective patients. Tumor markers such as Ca-125 was measured, and risk of malignancy index (RMI) was calculated for each tumor. The clinical and imaging findings were correlated with intra-operative findings and finally with the histopathology examination report.

Results:

A total of 171 women were included in the study who were diagnosed to have adnexal mass. A total of 137 women (80.1%) had benign tumor (Group B), whereas 34 women (19.9%) were found to have malignant tumor (Group M). Mean age in Group B was 35.85 ± 12.46 and in Group M was 46.12 ± 13.46 (P = 0.001). Ca-125 was significantly higher in Group M (1350 U/ml) than Group B (175 U/ml) (P = 0.008). The RMI score was also found to significantly increased in Group M than Group B (P = 0.007).

Conclusion:

With respect to adnexal masses, both Ca-125, as well as RMI scoring, are important diagnostic tools. RMI scoring has a better overall diagnostic performance than Ca-125 in predicting malignancy.

Improved Detection Rate of Ovarian Cancer Using a 2-Step Triage Model of the Risk of Malignancy Index and Expert Sonography in an Outpatient Screening Setting

OBJECTIVE

Preoperative assessment of adnexal masses with ultrasound has been shown to be time-, cost-effective, and specific. When used in combination with the menopausal status and the tumor marker CA125, the risk of malignancy index (RMI) can be calculated, allowing appropriate preoperative triage of patients to a gynecologist or a gynecological oncologist. Moreover, it allows for accurate planning of the required surgical procedure (laparoscopy vs laparotomy).

METHODS

A large general gynecologic ultrasonic database retrospectively identified 5218 patients for a 14-year period who presented to the outpatient clinic with an adnexal mass. Additional data (menopausal status, histology, CA125 values) were available in 1108 of these patients. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated. The results were then compared with previously published data from a large Australian gynecological cancer center (GCC, n = 204).

RESULTS

With the use of an RMI cutoff of 200, malignant ovarian tumors were correctly triaged to a gynecologic oncologist in 123 of 172 cases, leading to a sensitivity of 72% and specificity of 92% in our general outpatient clinic population compared with a sensitivity of 84% and a specificity of 77% in the GCC high-risk population. The negative predictive value was 95% compared with only 85% in the GCC cohort. We hypothesize that improvement of the overall detection rate of malignancy could be improved from 72% to 85% using a 2-step model, referring patients with an ultrasonic score of 3 to an experienced sonographer who uses pattern recognition.

CONCLUSIONS

The RMI is an easy and reliable tool for the accurate triage of adnexal masses. Its value is higher in an unselected gynecological outpatient setting. Our proposed 2-step model including expert pattern recognition could influence particularly the detection rate in borderline and early-stage ovarian cancers and overcome the limitations of the tumor marker CA125.

The role of biomarkers in the management of epithelial ovarian cancer

INTRODUCTION

Despite advances in surgery and chemotherapy for ovarian cancer, 70% of women still succumb to the disease. Biomarkers have contributed to the management of ovarian cancer by monitoring response to treatment, detecting recurrence, distinguishing benign from malignant pelvic masses and attempting to detect disease at an earlier stage. Areas covered: This review focuses on recent advances in biomarkers and imaging for management of ovarian cancer with particular emphasis on early detection. Relevant literature has been reviewed and analyzed. Expert commentary: Rising or persistent CA125 blood levels provide a highly specific biomarker for epithelial ovarian cancer, but not an optimally sensitive biomarker. Addition of HE4, CA 72.4, anti-TP53 autoantibodies and other biomarkers can increase sensitivity for detecting early stage or recurrent disease. Detecting disease recurrence will become more important as more effective therapy is developed. Early detection will require the development not only of biomarker panels, but also of more sensitive and specific imaging strategies. Effective biomarker strategies are already available for distinguishing benign from malignant pelvic masses, but their use in identifying and referring patients with probable ovarian cancer to gynecologic oncologists for cytoreductive operations must be encouraged.

The role of biomarkers in the management of epithelial ovarian cancer

INTRODUCTION

Despite advances in surgery and chemotherapy for ovarian cancer, 70% of women still succumb to the disease. Biomarkers have contributed to the management of ovarian cancer by monitoring response to treatment, detecting recurrence, distinguishing benign from malignant pelvic masses and attempting to detect disease at an earlier stage. Areas covered: This review focuses on recent advances in biomarkers and imaging for management of ovarian cancer with particular emphasis on early detection. Relevant literature has been reviewed and analyzed. Expert commentary: Rising or persistent CA125 blood levels provide a highly specific biomarker for epithelial ovarian cancer, but not an optimally sensitive biomarker. Addition of HE4, CA 72.4, anti-TP53 autoantibodies and other biomarkers can increase sensitivity for detecting early stage or recurrent disease. Detecting disease recurrence will become more important as more effective therapy is developed. Early detection will require the development not only of biomarker panels, but also of more sensitive and specific imaging strategies. Effective biomarker strategies are already available for distinguishing benign from malignant pelvic masses, but their use in identifying and referring patients with probable ovarian cancer to gynecologic oncologists for cytoreductive operations must be encouraged.

The role of biomarkers in the management of epithelial ovarian cancer

INTRODUCTION

Despite advances in surgery and chemotherapy for ovarian cancer, 70% of women still succumb to the disease. Biomarkers have contributed to the management of ovarian cancer by monitoring response to treatment, detecting recurrence, distinguishing benign from malignant pelvic masses and attempting to detect disease at an earlier stage. Areas covered: This review focuses on recent advances in biomarkers and imaging for management of ovarian cancer with particular emphasis on early detection. Relevant literature has been reviewed and analyzed. Expert commentary: Rising or persistent CA125 blood levels provide a highly specific biomarker for epithelial ovarian cancer, but not an optimally sensitive biomarker. Addition of HE4, CA 72.4, anti-TP53 autoantibodies and other biomarkers can increase sensitivity for detecting early stage or recurrent disease. Detecting disease recurrence will become more important as more effective therapy is developed. Early detection will require the development not only of biomarker panels, but also of more sensitive and specific imaging strategies. Effective biomarker strategies are already available for distinguishing benign from malignant pelvic masses, but their use in identifying and referring patients with probable ovarian cancer to gynecologic oncologists for cytoreductive operations must be encouraged.

Use of risk of malignancy index to indicate frozen section analysis in the surgical care of women with ovarian tumors

OBJECTIVE

To evaluate the importance of the risk of malignancy index (RMI) in the decision to perform frozen section analysis among women with ovarian tumors.

METHODS

A retrospective study was conducted in 11 centers in the Netherlands. Women who underwent surgical treatment of an ovarian mass with unknown histology between January 2005 and September 2009 were included. The RMI was calculated retrospectively. Frozen section analysis and RMI values were assessed for patients with benign, borderline, and malignant ovarian tumors on final histopathology.

RESULTS

Overall, 670 women were included. Frozen sections were performed in 323 (48.2%) patients, of whom 206 (63.8%) were diagnosed with benign ovarian tumors, 55 (17.0%) with borderline tumors, and 62 (19.2%) with malignant tumors. Overall, 109 (16.3%) women had an RMI below 20, 106 (97.2%) of whom had benign histology results. Among 235 patients with an RMI over 100, 3 (1.3%) postmenopausal women had malignancies that were missed because frozen sections were not performed.

CONCLUSION

Women with an RMI below 20 have a low risk of malignancy and therefore do not require frozen section analysis. Postmenopausal women with an RMI greater than 100 should be referred to centers where frozen sections can be performed, and proper facilities and expertise are available to perform staging procedures if necessary.

Diagnostic Value of the Risk of Malignancy Index (RMI) for Detection of Pelvic Malignancies Compared with Pathology

Introduction

Pelvic masses are among most the common causes of patient admission into gynecology clinics and one of the most common reasons for referral to gynecologic oncology departments due to the risk of uterine or ovarian malignancies. The aim of this study is to compare the four indices of the risk of malignancy index (RMI 1–4), as a combination of menstrual status, radiological findings, and serum CA125 concentration, for discrimination of benign from malignant pelvic masses.

Methods

This retrospective descriptive and analytic study was conducted on 200 patients with pelvic mass, post-surgery, and who were referred to the oncology department in Shahid Sadoughi hospital of Yazd (Iran) between June 2007 and September 2011. Data regarding demographics, pathology reports, paraclinical and clinical tests were analyzed. The four RMI indices were separately used for determination of benign vs. malignant masses using the optimized cutoff points, ROC curve, sensitivity, specificity, predictive value of positive and negative, and accuracy. Finally, p value for each index was calculated, and a final discrimination power was measured by using SPSS version 17 software.

Results

The calculated p values in the four RMI indices in ultrasound findings indicated statistical significance, and the RMI 2 showed the highest level of accuracy or diagnostic performance. RMI 2 had a cutoff point of 90, an under-chart area 86.7, 79.36% sensitivity, 78.95% specificity, 58.44%, positive predictive value, 90.08% negative predictive value, and 78.93% accuracy, and a p value of 0.004. However, this relationship was found not to be meaningful using CT scan images.

Conclusions

Using RMI 2 for differentiation of malignant from benign pelvic masses is a reliable method with ultrasound findings.

Comparison of HE4, CA125, and Risk of Ovarian Malignancy Algorithm in the Prediction of Ovarian Cancer in Korean Women

This study is a multi-center clinical study, which aimed to compare CA125, HE4, and risk of ovarian malignancy algorithm (ROMA) in predicting epithelial ovarian cancer of Korean women with a pelvic mass. Prospectively, serum from 90 Korean women with ovarian mass was obtained prior to surgery. For control group, serum from 79 normal populations without ovarian mass was also obtained. The HE4 and CA125 data were registered and evaluated separately and ROMA was calculated for each sample. Total 67 benign tumors and 23 ovarian cancers were evaluated. Median serum levels of HE4 and CA125, and ROMA score were significantly higher in patients with ovarian cancer than those with benign ovarian tumor and normal population (P < 0.001). In ROC curve analysis for women with a pelvic mass, area under the curve (AUC) for HE4 and ROMA was higher than CA125. Statistical differences in each study compared to CA125 were marginal (P compared to CA125; 0.082 for HE4 and 0.069 for ROMA). Sub-analysis revealed that AUC for HE4 and ROMA was higher than AUC for CA125 in post-menopausal women with a pelvic mass, but there were no statistically significant differences (P compared to CA125; 0.160 for HE4 and 0.127 for ROMA). Our data suggested that both HE4 and ROMA score showed better performance than CA125 for the detection of ovarian cancer in women with a pelvic mass. HE4 and ROMA can be a useful independent diagnostic marker for epithelial ovarian cancer in Korean women.

HE4, CA125, the Risk of Malignancy Algorithm and the Risk of Malignancy Index and complex pelvic masses - a prospective comparison in the pre-operative evaluation of pelvic masses in an Australian population

BACKGROUND

Human epididymis protein 4 (HE4) has been proposed as a novel biomarker for the diagnosis of epithelial ovarian cancer. Using HE4 and CA125, the risk of malignancy algorithm (ROMA) has been shown to be effective in the stratification of epithelial ovarian cancer risk.

AIMS

To determine the effectiveness of HE4 and ROMA in the diagnosis of malignancy of women presenting with a complex pelvic mass in an Australian population and to compare it with CA125 and the risk of malignancy index (RMI).

MATERIALS AND METHODS

Prospective recruitment of women was conducted between October 2012 and March 2014 (n = 50). CA125 and HE4 serum concentrations were collected and stored for subsequent analysis. Sensitivities, specificities, positive predictive values (PPV) and negative predictive values (NPV) were calculated for HE4, CA125, ROMA and the RMI. Receiver operating characteristic (ROC) area under the curves (AUC) were also calculated for comparison.

RESULTS

There was a higher HE4 level in women with ovarian cancer compared with women with benign pathology (P = 0.008), and this observation was seen in benign versus stage 1 ovarian cancer women (P = 0.025). HE4 had a better specificity than CA125 for the diagnosis of ovarian cancer in all women (P = 0.022), and this effect was also observed in premenopausal women (P = 0.012). Furthermore, the ROC-AUC for HE4 was superior than CA125 in all women (P = 0.0451). The ROMA algorithm was not inferior to the RMI calculation in this population.

CONCLUSIONS

In an Australian population, HE4 and ROMA are useful in the diagnosis of epithelial ovarian cancer.

Usefulness of diagnostic indices comprising clinical, sonographic, and biomarker data for discriminating benign from malignant ovarian masses

The objective of this study was to review the accuracy of indices combining several diagnostic variables, in comparison to other models, sonography alone, and biomarker assays, for predicting benign or malignant ovarian lesions. Different single modalities were reviewed. The most useful complex models were International Ovarian Tumor Analysis (IOTA) sonographic logistic regression model 2 (area under the curve, 0.949), risk of malignancy index-cancer antigen 125-human epididymis protein 4 (0.950), risk of malignancy algorithm (0.953), pelvic mass score (0.960), non-IOTA logistic regression model (0.970), and histoscanning score logistic regression model (0.970). None of the indices was superior to an expert subjective sonographic assessment (0.968). For women with adnexal tumors, indices with high accuracy are available that are applicable in clinical practice and comparable to an expert subjective sonographic assessment for discriminating benign from malignant masses.

Addition of parity to the risk of malignancy index score in evaluating adnexal masses

OBJECTIVE

The aim of our study was to evaluate the individual contribution of parity when incorporated as another parameter into the four risk of malignancy indices (RMI 1-4) to differentiate noninvasive benign lesions from invasive malignant ovarian lesions.

MATERIALS AND METHODS

After calculating RMI 1-4 for each patient included in this study, the resulting RMI scores were further multiplied by the parity score (P) of each patient to calculate the RMI parity (RMIP) score.

RESULTS

A cutoff value of 300 for RMIP 1 yielded 95.0% specificity, 97.4% negative predictive value (NPV), 88.5% sensitivity, and 79.3% positive predictive value (PPV) and performed better than RMI 1 in the preoperative diagnosis of invasive malignant lesions. RMIP 2 with a cutoff value of 400 yielded 95.0% specificity, 97.4% NPV, 88.5% sensitivity, and 79.3% PPV, and it also performed better than RMI 2. A cutoff value of 400 for RMIP 3 provided 97.5% specificity, 97.5% NPV, 88.5% sensitivity, and 88.5% PPV and performed better than RMI 3. However, a cutoff value of 400 for RMIP 4 provided 90.0% specificity, 97.3% NPV, 88.5% sensitivity, and 65.7% PPV but did not perform better than RMI 4 in the preoperative diagnosis of invasive malignant lesions.

CONCLUSION

RMIP 1-3 scales were more reliable tools for the preoperative diagnosis of invasive adnexal masses compared with the traditional RMI 1-3 scales.

Criteria for selection of laparoscopy for women with adnexal mass

Objectives:

We compared the indication of laparoscopy for treatment of adnexal masses based on the risk scores and tumor diameters with the indication based on gynecology-oncologists' experience.

Methods:

This was a prospective study of 174 women who underwent surgery for adnexal tumors (116 laparotomies, 58 laparoscopies). The surgeries begun and completed by laparoscopy, with benign pathologic diagnosis, were considered successful. Laparoscopic surgeries that required conversion to laparotomy, led to a malignant diagnosis, or facilitated cyst rupture were considered failures. Two groups were defined for laparoscopy indication: (1) absence of American College of Obstetrics and Gynecology (ACOG) guideline for referral of high-risk adnexal masses criteria (ACOG negative) associated with 3 different tumor sizes (10, 12, and 14 cm); and (2) Index of Risk of Malignancy (IRM) with cutoffs at 100, 200, and 300, associated with the same 3 tumor sizes. Both groups were compared with the indication based on the surgeon's experience to verify whether the selection based on strict rules would improve the rate of successful laparoscopy.

Results:

ACOG-negative and tumors ≤10 cm and IRM with a cutoff at 300 points and tumors ≤10cm resulted in the same best performance (78% success = 38/49 laparoscopies). However, compared with the results of the gynecology-oncologists' experience, those were not statistically significant.

Discussion:

The selection of patients with adnexal mass to laparoscopy by the use of the ACOG guideline or IRM associated with tumor diameter had similar performance as the experience of gynecology-oncologists. Both methods are reproducible and easy to apply to all women with adnexal masses and could be used by general gynecologists to select women for laparoscopic surgery; however, referral to a gynecology-oncologist is advisable when there is any doubt.

In 2014, can we do better than CA125 in the early detection of ovarian cancer?

Ovarian cancer is a lethal gynecologic malignancy with greater than 70% of women presenting with advanced stage disease. Despite new treatments, long term outcomes have not significantly changed in the past 30 years with the five-year overall survival remaining between 20% and 40% for stage III and IV disease. In contrast patients with stage I disease have a greater than 90% five-year overall survival. Detection of ovarian cancer at an early stage would likely have significant impact on mortality rate. Screening biomarkers discovered at the bench have not translated to success in clinical trials. Existing screening modalities have not demonstrated survival benefit in completed prospective trials. Advances in high throughput screening are making it possible to evaluate the development of ovarian cancer in ways never before imagined. Data in the form of human “-omes” including the proteome, genome, metabolome, and transcriptome are now available in various packaged forms. With the correct pooling of resources including prospective collection of patient specimens, integration of high throughput screening, and use of molecular heterogeneity in biomarker discovery, we are poised to make progress in ovarian cancer screening. This review will summarize current biomarkers, imaging, and multimodality screening strategies in the context of emerging technologies.

Presurgical diagnosis of adnexal tumours using mathematical models and scoring systems: a systematic review and meta-analysis

BACKGROUND Characterizing ovarian pathology is fundamental to optimizing management in both pre- and post-menopausal women. Inappropriate referral to oncology services can lead to unnecessary surgery or overly radical interventions compromising fertility in young women, whilst the consequences of failing to recognize cancer significantly impact on prognosis. By reflecting on recent developments of new diagnostic tests for preoperative identification of malignant disease in women with adnexal masses, we aimed to update a previous systematic review and meta-analysis. METHODS An extended search was performed in MEDLINE (PubMed) and EMBASE (OvidSp) from March 2008 to October 2013. Eligible studies provided information on diagnostic test performance of models, designed to predict ovarian cancer in a preoperative setting, that contained at least two variables. Study selection and extraction of study characteristics, types of bias, and test performance was performed independently by two reviewers. Quality was assessed using a modified version of the QUADAS assessment tool. A bivariate hierarchical random effects model was used to produce summary estimates of sensitivity and specificity with 95% confidence intervals or plot summary ROC curves for all models considered. RESULTS Our extended search identified a total of 1542 new primary articles. In total, 195 studies were eligible for qualitative data synthesis, and 96 validation studies reporting on 19 different prediction models met the predefined criteria for quantitative data synthesis. These models were tested on 26 438 adnexal masses, including 7199 (27%) malignant and 19 239 (73%) benign masses. The Risk of Malignancy Index (RMI) was the most frequently validated model. The logistic regression model LR2 with a risk cut-off of 10% and Simple Rules (SR), both developed by the International Ovarian Tumor Analysis (IOTA) study, performed better than all other included models with a pooled sensitivity and specificity, respectively, of 0.92 [95% CI 0.88-0.95] and 0.83 [95% CI 0.77-0.88] for LR2 and 0.93 [95% CI 0.89-0.95] and 0.81 [95% CI 0.76-0.85] for SR. A meta-analysis of centre-specific results stratified for menopausal status of two multicentre cohorts comparing LR2, SR and RMI-1 (using a cut-off of 200) showed a pooled sensitivity and specificity in premenopausal women for LR2 of 0.85 [95% CI 0.75-0.91] and 0.91 [95% CI 0.83-0.96] compared with 0.93 [95% CI 0.84-0.97] and 0.83 [95% CI 0.73-0.90] for SR and 0.44 [95% CI 0.28-0.62] and 0.95 [95% CI 0.90-0.97] for RMI-1. In post-menopausal women, sensitivity and specificity of LR2, SR and RMI-1 were 0.94 [95% CI 0.89-0.97] and 0.70 [95% CI 0.62-0.77], 0.93 [95% CI 0.88-0.96] and 0.76 [95% CI 0.69-0.82], and 0.79 [95% CI 0.72-0.85] and 0.90 [95% CI 0.84-0.94], respectively. CONCLUSIONS An evidence-based approach to the preoperative characterization of any adnexal mass should incorporate the use of IOTA Simple Rules or the LR2 model, particularly for women of reproductive age.

Efficacy of a regional network for ovarian cancer care

OBJECTIVE

To study the influence of a regional collaboration in epithelial ovarian cancer care on staging procedures, debulking results, and survival.

METHODS

In an effort to optimize epithelial ovarian cancer treatment, a regional collaboration was introduced in the Netherlands in 2000. Gynecologic oncologists from the university center conducted surgery in community hospitals when ovarian cancer was considered based on the risk of malignancy index or clinical suspicion. The National Cancer Registry registered 1,554 patients with epithelial ovarian cancer diagnosed in 11 participating Dutch hospitals between 1996 and 2010. Surgical procedures were compared during three periods (1996-1999, 2000-2004, and 2005-2009). Log-rank tests compared Kaplan-Meier survival curves of progression-free and overall survival before (1996-2000) and during the start of the collaboration (2001-2005).

RESULTS

Staging was adequate for 139 patients (23.0%) before collaboration, and this proportion increased during the study periods to 32.1% and 62.1% (P<.01), when gynecologic oncologists more often staged cancer in patients (36.7% compared with 54.7% and 80.6%; P<.01). For 1,197 patients with advanced stage disease (stage IIb or greater), the proportion of debulking procedures with an optimal (residual volume less than1 cm) as well as a complete result (no residuals) increased during the 14-year study period from 57.4% to 76.5% (P<.01) and from 24.1% to 43.4% (P<.01), respectively. Survival rates were similar before and during the start of the collaboration. In multivariable analysis, the treatment variables completeness of debulking, chemotherapy, and gynecologic oncologist attendance were independent prognostic factors for overall survival, as were age, stage, and tumor grade.

CONCLUSIONS

After regional collaboration, gynecologic oncologists attended more surgeries and surgical outcomes improved, but progress in survival could not be demonstrated. Regional collaboration improved care for ovarian cancer patients.

LEVEL OF EVIDENCE

II.

Human epididymis protein 4 in cancer diagnostics: a promising and reliable tumor marker

Human epididymis protein 4 (HE4) is a member of the "four-disulfide core" family that comprises a heterogeneous group of small acid- and heat-stable proteins of divergent function. Although there is an exponential growth of evidence that HE4 is a valuable tumor marker for ovarian malignancies, the exploration of the usefulness of this glycoprotein in the large tumor landscape is still ongoing. Enzyme-linked immunosorbent assay, chemiluminescent microparticle immunoassay, and bead-based array system are the preferred analytical methods for measuring HE4 concentration. Serum and urinary HE4 levels appear to be more affected by carcinogenesis than by other pathologic processes. Apart from the malignancy itself, histological type of cancer, cancer stage, and menopausal status affects HE4 concentration. An important objective in nowadays research remains the development of a tumor marker panel with a sufficient accuracy for risk assessment, early diagnosis, prognosis, and response to therapeutic treatment of cancer.

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.

From bench to bedside: discovery of ovarian cancer biomarkers using high-throughput technologies in the past decade

Ovarian cancer is the most lethal gynecological malignancy and survival of this disease has remained relatively unchanged over the past 30 years. A contributing factor to this has been the lack of reliable biomarkers for the clinical management of ovarian cancer. Rapid advances in high-throughput technologies over the past decade has allowed for new and exciting opportunities for biomarker discovery in the field of ovarian cancer, especially with respect to serum biomarkers that can be used for various clinical applications. This review highlights the major genomic and proteomic studies dedicated to ovarian cancer biomarker discovery over the past decade. An emphasis will be placed on the HE4, Risk of Malignancy Algorithm (ROMA) and OVA1™ serum-based tests/algorithms that have recently been approved by the US FDA as ovarian cancer biomarkers.

Ultrasound criteria and CA 125 as predictive variables of ovarian cancer in women with adnexal tumors

OBJECTIVES

To evaluate the capacity to predict malignancy in women with adnexal tumors using CA 125 measurement and ultrasound criteria.

METHODS

This was a cross-sectional study including 103 women with a total of 110 adnexal tumors. CA 125 level was measured in a sample of peripheral blood. Lesions were classified by ultrasound, using standardized predetermined criteria, as benign (B) or malignant (M). Those that could not be classified by these criteria were assessed subjectively. Histopathologic examination of surgical specimens was used as the gold standard.

RESULTS

Of 110 tumors, 79 (71.8%) were benign and 31 (28.2%) were malignant on histopathology. Ultrasound criteria could be applied to 91 (82.7%) tumors, resulting in a sensitivity of 90%, specificity of 87%, positive predictive value (PPV) of 69% and negative predictive value (NPV) of 97%. In tumors not classifiable according to ultrasound criteria, subjective sonographic assessment gave a sensitivity of 67%, specificity of 80%, PPV of 75% and NPV of 73%. At a cut-off point of 37.4 U/mL, CA 125 had a sensitivity of 69%, a specificity of 87.8%, a PPV of 69% and a NPV of 88% for detection of malignancy. When CA 125 was associated with age and ultrasound criteria in a logistic regression model, the sensitivity and specificity increased in the subset of sonographically malignant tumors.

CONCLUSION

The majority of tumors were correctly classified using ultrasound criteria. CA 125 alone performed worse than did ultrasound in discriminating malignant from benign adnexal tumors. CA 125 measurement contributed to the diagnosis of malignancy, improving overall specificity, only in sonographically malignant tumors.

Evaluation of HE4, CA125, risk of ovarian malignancy algorithm (ROMA) and risk of malignancy index (RMI) as diagnostic tools of epithelial ovarian cancer in patients with a pelvic mass

OBJECTIVE

Diagnostic factors are needed to improve the currently used serum CA125 and risk of malignancy index (RMI) in differentiating ovarian cancer (OC) from other pelvic masses, thereby achieving precise and fast referral to a tertiary center and correct selection for further diagnostics. The aim was to evaluate serum Human Epididymis protein 4 (HE4) and the risk of ovarian malignancy algorithm (ROMA) for these purposes.

METHODS

Serum from 1218 patients in the prospective ongoing pelvic mass study was collected prior to diagnosis. The HE4 and CA125 data were registered and evaluated separately and combined in ROMA and compared to RMI.

RESULTS

809 benign tumors, 79 borderline ovarian tumors, 252 OC (64 early and 188 late stage), 9 non-epithelial ovarian tumors and 69 non-ovarian cancers were evaluated. Differentiating between OC and benign disease the specificity was 62.2 (CA125), 63.2 (HE4), 76.5 (ROMA) and 81.5 (RMI) at a set sensitivity of 94.4 which corresponds to RMI=200. The areas under the curve (AUC) were 0.854 (CA125), 0.864 (HE4), 0,897 (ROMA) and 0.905 (RMI) for benign vs. early stage OC. For premenopausal benign vs. OC AUC were 0.925 (CA125), 0.905 (HE4), 0.909 (ROMA) and 0.945 (RMI).

CONCLUSION

HE4 and ROMA helps differentiating OC from other pelvic masses, even in early stage OC. ROMA performs equally well as the ultrasound depending RMI and might be valuable as a first line biomarker for selecting high risk patients for referral to a tertiary center and further diagnostics. Further improvements of HE4 and ROMA in differentiating pelvic masses are still needed, especially regarding premenopausal women.

Laparoscopy as the most effective tool for management of postmenopausal complex adnexal masses when expectancy is not advisable

Postmenopausal women with adnexal masses suspicious for malignancy must undergo surgery for histopathologic confirmation. The low positive predictive value for malignancy of the currently available preoperative examinations results in 5 to 220 surgeries performed for each case of pelvic malignancy detected, depending on the evaluation method and patient selection. Although extensively reviewed as an effective tool for the investigation and treatment of adnexal masses, laparoscopy is still underused for this purpose in postmenopausal women. Some reasons are uncertainty about the incidental diagnosis of a malignant lesion during laparoscopy, concern about the effect of laparoscopy over the course of a pelvic malignant lesion, and inadequate referral of patients at high risk to specialized centers with oncologic gynecologists. Identification of patients at low risk might also be inadequate, causing them to undergo unnecessary laparotomy. Herein we demonstrate through a comprehensive literature review that laparoscopy is a highly effective tool for investigation and treatment of suspected adnexal masses in postmenopausal women, both in general medical settings without oncologic backup and in specialized centers. The indications for laparoscopy in this context can be further expanded without oncologic harm if patients at low and high risk are appropriately selected for surgery at general and specialized settings, respectively.

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.

Surgical management of epithelial ovarian cancer

Ovarian cancer affects approximately 21,880 women and accounts for over 13,000 deaths annually in the United States. Although survival rates have improved over the past several decades, directly as a result of advances in chemotherapy and surgery, ovarian cancer continues to have high mortality rates. Understanding the multiple roles of surgery throughout the disease course is the focus of this review.

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.

Differential diagnosis of a pelvic mass: improved algorithms and novel biomarkers

More than 200,000 women undergo exploratory surgery for a pelvic mass in the United States each year and 13%-21% of pelvic lesions are found to be malignant. Individual reports and meta-analysis indicate better outcomes when cancer surgery is performed by gynecologic oncologists. Despite the advantages provided by more thorough staging and cytoreductive surgery, only 30%-50% of women with ovarian cancer are referred to surgeons with specialized training in the United States. Imaging, menopausal status and biomarkers can aid in distinguishing malignant from benign pelvic masses to inform decisions regarding appropriate referral. The risk of malignancy index (RMI) uses ultrasound, menopausal status and CA125 and has been utilized in the United Kingdom for two decades, providing sensitivity that has ranged from 71%-88% and specificity it from 97%-74% for identifying patients with malignant disease. Criteria have been established by the Society of Gynecology Oncology and American College of Obstetrics and Gynecology for referral to a gynecologic oncologist, but these have lower sensitivity and specificity than the RMI. Recently, two new algorithms have been developed to identify women at sufficiently high risk to prompt referral to a specialized surgeon. The OVA1 multivariate index incorporates imaging, menopausal status, CA125 and four other proteomic biomarkers. Use of OVA1 provides 85%-96% sensitivity at 28%-40% specificity depending upon menopausal status. The negative predictive value for women judged to be at low risk is 94%-96%. The risk of malignancy algorithm (ROMA) includes CA125, human epididymal protein 4 and menopausal status, but not imaging results. The ROMA has yielded 93%-94% sensitivity at 75% specificity with a negative predictive value of 93%-98%. In a direct comparison, ROMA has achieved greater sensitivity (94%) than the RMI (75%) at 75% specificity. OVA1 has not been compared directly to ROMA, but is likely to be as sensitive, but substantially less specific. Both algorithms have high negative predictive values 94%-98%. Although a difference in specificity should not affect patient outcomes, it could affect distribution of medical resources.

Risk of malignancy index used as a diagnostic tool in a tertiary centre for patients with a pelvic mass

OBJECTIVE

Risk of malignancy index (RMI), based on a serum cancer antigen 125 level, ultrasound findings and menopausal status, is used to discriminate ovarian cancer from benign pelvic mass. In Denmark, patients with pelvic mass and RMI ≥200 are referred to tertiary gynecologic oncology centers according to the national guidelines for ovarian cancer treatment. The guidelines include recalculation of RMI at the tertiary center and, if indicated, positron emission tomography/computed tomography and fast-track surgery by specialists in cancer surgery. The aim of this study was to validate the use of RMI ≥200 as a tool for preoperative identification of ovarian cancer at a tertiary center.

DESIGN

Prospective observational study.

SETTING

A tertiary center in Copenhagen, Denmark.

POPULATION

One thousand one hundred and fifty-nine women with pelvic mass.

METHODS

The RMI was calculated after ultrasound examination and blood sampling for serum cancer antigen 125 analysis within two weeks before surgery.

MAIN OUTCOME MEASURES

Sensitivity, specificity, positive and negative predictive values were calculated to evaluate the ability of RMI to distinguish between ovarian cancer and benign pelvic mass.

RESULTS

There were 778 women diagnosed with benign pelvic mass, while 251 had ovarian cancer and 74 had borderline ovarian tumor. Fifty-six women were diagnosed with other forms of cancer. Sensitivity and specificity for ovarian cancer vs. benign pelvic mass for RMI ≥200 were 92 and 82%, respectively. Corresponding positive and negative predictive values were 62 and 97%.

CONCLUSIONS

Risk of malignancy index ≥200 is a reliable tool for identifying patients with ovarian cancer pelvic masses at a tertiary centre to select patients for further preoperative examinations.

Subjective assessment by ultrasound is superior to the risk of malignancy index (RMI) or the risk of ovarian malignancy algorithm (ROMA) in discriminating benign from malignant adnexal masses

PURPOSE

The combination of two tumour markers, CA125 and HE4, in the risk of ovarian malignancy assay (ROMA) has been shown to be successful in classifying patients into those who have a high or low risk of epithelial ovarian cancer. In the present study, the diagnostic accuracy of ROMA was assessed and compared to the diagnostic accuracy of the two most widely used ultrasound methods, namely the risk of malignancy index (RMI) and subjective assessment by ultrasound.

METHODS

From August, 2005 to March, 2009, 432 women with a pelvic mass who were scheduled to have surgery were enrolled in a single-centre prospective cohort study. A preoperative ultrasound was performed and preoperative CA125 and HE4 serum levels were measured. Once the final surgical pathology reports were obtained, the diagnostic accuracy and performance indices of ROMA, RMI and subjective assessment were calculated.

RESULTS

Of the 432 eligible patients, 374 could be analysed. Subjective assessment had the highest area under the receiver operator characteristic curve (AUC) (0.968, 95%CI:0.945-0.984), followed by the RMI (0.931, 95%CI:0.901-0.955). The subjective assessment and RMI both had significantly higher AUCs than the ROMA (0.893, 95%CI:0.857-0.922; P<0.0001 and P=0.0030, respectively). The pre- and postmenopausal populations generated similar results.

CONCLUSION

Although new tumour markers models are promising, they do not contribute significantly to the diagnosis of ovarian cancer. Ultrasound, especially subjective assessment by ultrasound, remains superior in discriminating malignant from benign ovarian masses.

GI-RADS reporting system for ultrasound evaluation of adnexal masses in clinical practice: a prospective multicenter study

OBJECTIVE

To assess the clinical usefulness of a structured reporting system based on ultrasound findings for management of adnexal masses.

METHODS

This was a prospective multicenter study comprising 432 adnexal masses in 372 women (mean age, 44.0 (range, 13-78) years) over a 36-month period. Ninety-three (25%) women were postmenopausal and 279 (75%) women were premenopausal. Patients were evaluated with transvaginal ultrasound by one of three examiners expert in gynecological ultrasound. Reporting was provided to referring clinicians according to the Gynecologic Imaging Report and Data System (GI-RADS) classification. A predetermined management protocol was offered to referral clinicians. It was suggested that patients classified as GI-RADS 2 be managed with follow-up scan, patients classified as GI-RADS 3 undergo laparoscopic surgery and patients classified as GI-RADS 4 or 5 be referred to a gynecologic oncologist. Definitive histologic diagnosis was available in 370 cases and 62 additional cases were considered as benign because of spontaneous resolution during follow-up. These outcomes were used as the gold standard for calculating the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+) and negative likelihood ratio (LR-) of GI-RADS classification for identifying adnexal masses at high risk of malignancy, considering GI-RADS 4 and 5 as being malignant.

RESULTS

Of the 432 tumors, 112 were malignant and 320 benign. The GI-RADS classification rate was as follows: GI-RADS 2, 92 (21%) cases; GI-RADS 3, 184 (43%) cases; GI-RADS 4, 40 (9%) cases; GI-RADS 5, (27%) 116 cases. Sensitivity for this system was 99.1% (95% CI, 95.1-99.8%), specificity was 85.9% (95% CI, 81.7-89.3%), LR+ was 7.05 (95% CI, 5.37-9.45) and LR- was 0.01 (95% CI, 0.001-0.07). PPV and NPV were 71.1% and 99.6%, respectively.

CONCLUSIONS

The GI-RADS reporting system performed well in identifying adnexal masses at high risk of malignancy and seems to be useful for clinical decision-making.

The diagnostic accuracy of two human epididymis protein 4 (HE4) testing systems in combination with CA125 in the differential diagnosis of ovarian masses

BACKGROUND

Cancer antigen 125 (CA125) is the best known single tumor marker for ovarian cancer (OC). We investigated whether the additional information of the human epididymis protein 4 (HE4) improves diagnostic accuracy.

METHODS

We retrospectively analyzed preoperative sera of 109 healthy women, 285 patients with benign ovarian masses (cystadenoma: n=78, leimyoma: n=66, endometriosis: n=52, functional ovarian cysts: n=79, other: n=10), 16 low malignant potential (LMP) ovarian tumors and 125 OC (stage I: 22, II: 15, III: 78, IV: 10). CA125 was analyzed using the ARCHITECT system, HE4 using the ARCHITECT(a) system and EIA(e) technology additionally.

RESULTS

The lowest concentrations of CA125 and HE4 were observed in healthy individuals, followed by patients with benign adnexal masses and patients with LMP tumors and OC. The area under the curve (AUC) for the differential diagnosis of adnexal masses of CA125 alone was not significantly different to HE4 alone in premenopausal (CA125: 86.7, HE4(a): 82.6, HE4(e): 81.6% p>0.05) but significantly different in postmenopausal [CA125: 93.4 vs. HE4(a): 88.3 p=0.023 and vs. HE4(e): 87.8% p=0.012] patients. For stage I OC, HE4 as a single marker was superior to CA125, which was the best single marker in stage II-IV. The combination of CA125 and HE4 using risk of malignancy algorithm (ROMA) gained the highest sensitivity at 95% specificity for the differential diagnosis of adnexal masses [CA125: 70.9, HE4(a): 67.4, HE4(e): 66.0, ROMA(a): 76.6 and ROMA(e): 74.5%], especially in stage I OC [CA125: 27.3, HE4(a): 40.9, HE4(e): 40.9, ROMA(a): 45.5 and ROMA(e): 45.5%].

CONCLUSIONS

CA125 is still the best single marker in the diagnosis of OC. HE4 alone and even more the combined analysis of CA125 and HE4 using ROMA improve the diagnostic accuracy of adnexal masses, especially in early OC.

Factors influencing the use of frozen section analysis in adnexal masses

OBJECTIVE

To determine the factors that influence the use of frozen section analysis in adnexal masses and the factors that predict malignancy.

METHODS

The study participants were women scheduled for adnexal mass surgery in 11 hospitals between 2005 and 2009. Factors that potentially influenced the use of frozen section analysis and potentially predicted malignancy were studied, such as menopausal status, CA 125 level, ultrasound characteristics, presence of adhesions, and tumor size. We used univariable and multivariable analyses to assess the factors.

RESULTS

A total of 670 patients were included in the study. The frozen section analyses for 323 patients (48%) showed 206 benign, 55 borderline, and 62 malignant adnexal masses. The CA 125 level, locularity of the tumor, and presence of solid areas predicted both the use of frozen section analysis and the presence of malignancy. The presence of adhesions predicted malignancy, but not the use of frozen section analysis. Menopausal status and tumor size predicted the use of frozen section analysis, but not malignancy.

CONCLUSION

Menopausal status and tumor size are associated with more use of frozen section analysis, but they have not been identified as factors associated with malignancy. Frozen section analysis is useful when the CA 125 levels are greater than 35 units/mL and when there are multilocular tumors, solid areas on ultrasonography, and adhesions revealed during surgery.

Comparison of three malignancy risk indices and CA-125 in the preoperative evaluation of patients with pelvic masses

Background

Patients with pelvic mass are the most referred patients to gynecologist. The aim of this study was to evaluate the ability of three malignancy risk indices (RMI 1, RMI 2 and RMI 3) and CA-125 to discriminate a benign from a malignant pelvic mass in our region (North of Iran).

Methods

This retrospective study was performed on 182 women with pelvic masses referred to Yahyanejad Hospital from 2007 to 2009. Ultrasound scans were scored as one point for each of the following characteristics: multilocular cyst, solid areas, intra-abdominal metastases, ascites, and bilateral lesions. For each patient a total ultrasound score (U) was calculated. The difference of the three RMI was based on the allocation of the U and M scores. The sensitivity, specificity, positive predictive values (PPV) and negative predictive values (NPV) of level of serum CA-125, the RMI 1, 2 and 3 were compared.

Results

Mean age of the patients was 39.9 ± 9.3 years. Most of them were premenopausal (161 women or 88.4%). A significant linear trend for malignancy was found by increasing age, ultrasound score, and serum CA-125. The best performance of CA125 was at a cut-off 88 U/ml, with a sensitivity of 88%, a specificity of 97%, a positive predictive value of 84%, and a negative predictive value of 99%. RMI 1 and 3 at the optimal cut off point of 265 and RMI2 at the optimal cut off point of 355, had a sensitivity of 91%, specificity of 96%, a positive predictive value of 78%, and a negative predictive value of 99%.

Conclusion

In our population we found that there is no statistically significant difference in the performance of three malignancy risk indices (RMI 1, RMI 2, and RMI 3) and CA125 in differentiating between benign and malignant pelvic masses.

The ROMA (Risk of Ovarian Malignancy Algorithm) for estimating the risk of epithelial ovarian cancer in women presenting with pelvic mass: is it really useful?

BACKGROUND

The study is aimed at evaluating the performance of the predictive model ROMA (Risk of Ovarian Malignancy Algorithm), which utilizes the combination of human epididymis protein 4 (HE4) and CA125 values to assess the risk of epithelial ovarian cancer (EOC) in women with a pelvic mass.

METHODS

One hundred and four women diagnosed with a pelvic mass (55 EOC and 49 benign cases) and scheduled to have surgery were enrolled, along with 49 healthy females. Preoperative serum concentrations of HE4 and CA125 were measured. Separate logistic regression algorithms ROMA for pre-menopausal and post-menopausal women were used to categorize patients into low- and high-risk groups for EOC. The area under the curve (AUC), sensitivity and specificity were calculated for HE4, CA125 and ROMA for the diagnosis of ovarian cancer using receiver operating characteristic (ROC) analysis.

RESULTS

The median CA125 and HE4 serum concentrations were significantly higher among EOC patients than in healthy females (both p<0.05) and those with a benign mass (both p<0.05). The pre-menopausal group included 36 benign cases (29 of which were classified by ROMA as low-risk with a specificity of 80.6%; 95% CI: 64.0%-91.8%), and 15 EOC (eight of which were classified by ROMA as high-risk, with a sensitivity of 53.3%; 95% CI: 26.6%-78.7%). The post-menopausal group enclosed 13 benign cases (11 of which were classified by ROMA as low-risk with a specificity of 84.6%; 95% CI: 54.6%-98.0%), and 40 EOC (33 of which were classified by ROMA as high-risk with a sensitivity of 82.5%; 95% CI: 67.2%-92.7%). In the pre-menopausal group, the AUC was 0.64 (p=0.12, 95% CI: 0.44-0.83) for CA125, 0.77 (p=0.003, 95% CI: 0.62-0.92) for HE4 and 0.77 (p=0.002, 95% CI: 0.63-0.92) for ROMA. In the post-menopausal group, the AUC was 0.84 (p=0.0003, 95% CI: 0.73-0.94) for CA125, 0.94 (p<0.0001, 95% CI: 0.88-0.99) for HE4 and 0.92 (p<0.0001, 95% CI: 0.85-0.99) for ROMA.

CONCLUSIONS

The ROMA is a simple scoring system which shows excellent diagnostic performance for the detection of EOC in post-menopausal women, but not in pre-menopausal women. Moreover, the dual marker combination of HE4 and CA125 (ROMA) does not show better performance than HE4 alone.