The Distribution of Stroma and Antral Follicles Differs between Insulin-Resistance and Hyperandrogenism-Related Polycystic Ovarian Syndrome

INTRODUCTION

Although insulin resistance plays an important pathogenetic role in polycystic ovary syndrome (PCOS), no correlation between ultrasound PCOS pattern and insulin resistance has yet been reported. The aim of this retrospective observational study was to assess whether the ovarian ultrasonographic parameter differed between PCOS women with insulin resistance and those with a hyperandrogenic profile.

MATERIALS AND METHODS

Women who fulfilled the Rotterdam criteria for PCOS were retrospectively studied. Anthropometric, biochemical, and clinical data were recorded. Women were divided into two groups based on specific transvaginal ultrasound parameters: subjects with more than half of the follicles measuring between 5 and 9 mm in diameter, an ultrasonographic determined stroma/total area (S/A) > 0.34 and a "necklace" sign of antral follicles (Group A); and subjects with more than half of the antral follicles measuring between 2 and 4 mm in diameter, an S/A ≤ 0.34; no "necklace" sign but ubiquitously distributed follicles determined by ultrasound (Group B). The association between these ultrasound patterns and the presence of insulin resistance was also evaluated.

RESULTS

Seventy-eight patients were enrolled: 33 with ultrasound sound pattern A and 45 with pattern B. The latter pattern had a sensitivity of 88% and a specificity of 78% in predicting PCOS women with insulin resistance. There were no differences in age, Ferriman-Gallwey score, and serum gonadotropin or androgen levels between the two groups. Body mass index, the waist-to-hip ratio, and homeostasis model assessment were significantly higher in group B than in group A (p < 0.05). Conversely, sex hormone binding globulin levels and ovarian volume were significantly higher in group A (p < 0.05). Insulin resistance was more frequent in group B than in group A (36/41, 87.8% versus 7/32, 21.8%; p < 0.05).

CONCLUSION

These results suggest that insulin resistance could be associated with a specific ultrasound pattern in PCOS patients.

Training Performance in Diagnosis of Congenital Uterine Anomalies With 3-Dimensional Sonography: A Learning Curve Cumulative Summation Analysis

OBJECTIVES

We evaluated learning curve cumulative summation (CUSUM) of 3-dimensional (3D) sonography for diagnosis of congenital uterine anomalies and the deviations of the level of trainees' performance at the control-stage CUSUM.

METHODS

First-year (R1), second-year (R2), and third-year (R3) residents in obstetrics and gynecology received a training program to learn how to analyze 3D sonographic volumes and to classify congenital uterine anomalies. Each trainee worked on 155 3D sonographic volumes from preselected patients. Their results were evaluated by learning curve CUSUM and standard CUSUM. The time for each volume analysis was calculated for the expert examiner and the trainees.

RESULTS

Trainees R1, R2, and R3 reached competence at the 85th, 58th, and 40th evaluations, respectively, with success rates of 80%, 81%, and 85%, and kept the process under control with error levels of less than 4.5% until the end of the test. The trainees significantly reduced the average time of the evaluation per volume (P < .001).

CONCLUSIONS

Learning curve CUSUM provided quantitative indicators of the learning evolution of 3D sonography for diagnosis of congenital uterine anomalies by obstetrics and gynecology residents. The training received by the residents was adequate for diagnosis of congenital uterine anomalies using 3D sonography.

External validation of IOTA simple descriptors and simple rules for classifying adnexal masses

OBJECTIVE

To assess the diagnostic performance of a three-step strategy proposed by the International Ovarian Tumor Analysis (IOTA) Group for discriminating between benign and malignant adnexal masses.

METHODS

This was a prospective observational study, performed at two tertiary-care university hospitals, of women diagnosed with an adnexal mass on transvaginal or transabdominal ultrasound between December 2012 and December 2014. Women were scheduled for an ultrasound evaluation, which was initially performed by non-expert examiners. The examiner had to classify the mass using 'simple descriptors' (first step) and, if not possible, using 'simple rules' (second step). For inconclusive masses, an expert examiner classified the mass according to their subjective impression (third step). Masses were managed expectantly, with serial follow-up examinations, or surgically, according to ultrasound findings and clinical symptoms. Histology was used as the reference standard. Masses that were managed expectantly with at least 1 year of follow-up were considered as benign for analytical purposes. Women with less than 1 year of follow-up were not included in the study.

RESULTS

Six hundred and sixty-six women were included (median age, 41 (range, 18-81) years) of whom 514 were premenopausal and 152 were postmenopausal. Based on the three-step strategy, 362 women had surgical removal of the mass (53 malignant and 309 benign), 71 masses resolved spontaneously and 233 persisted. Four hundred and forty-eight (67.3%) of 666 masses could be classified using simple descriptors and, of the 218 that could not, 147 (67.4%) were classified using simple rules. Of the remaining 71 masses, the expert examiner classified 45 as benign, 12 as malignant and 14 as uncertain. Overall sensitivity, specificity, positive likelihood ratio and negative likelihood ratio of the three-step strategy were 94.3%, 94.9%, 18.6 and 0.06, respectively.

CONCLUSION

The IOTA three-step strategy, based on the sequential use of simple descriptors, simple rules and expert evaluation, performs well for classifying adnexal masses as benign or malignant. Copyright © 2016 ISUOG. Published by John Wiley & Sons Ltd.

Systematic approach to sonographic evaluation of the pelvis in women with suspected endometriosis, including terms, definitions and measurements: a consensus opinion from the International Deep Endometriosis Analysis (IDEA) group

The IDEA (International Deep Endometriosis Analysis group) statement is a consensus opinion on terms, definitions and measurements that may be used to describe the sonographic features of the different phenotypes of endometriosis. Currently, it is difficult to compare results between published studies because authors use different terms when describing the same structures and anatomical locations. We hope that the terms and definitions suggested herein will be adopted in centers around the world. This would result in consistent use of nomenclature when describing the ultrasound location and extent of endometriosis. We believe that the standardization of terminology will allow meaningful comparisons between future studies in women with an ultrasound diagnosis of endometriosis and should facilitate multicenter research. Copyright © 2016 ISUOG. Published by John Wiley & Sons Ltd.

Past, present and future ultrasonographic techniques for analyzing ovarian masses

Ultrasonography is today the method of choice for distinguishing between benign and malignant adnexal pathologies. Using pattern recognition several types of tumors can be recognized according to their characteristic appearance on gray-scale imaging. Color Doppler imaging should be used only to perform a semiquantitative color score or evaluate the flow location. International Ovarian Tumor Analysis group had standardized definitions characterizing adnexal masses and suggested the use of 'simple rules' in premenopausal women. Recently, the use of 3D vascular indices has been proposed but its potential use in clinical practice is debated. Also computerized aided diagnosis algorithms showed encouraging results to be confirmed in the future.

Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group

BACKGROUND

Accurate methods to preoperatively characterize adnexal tumors are pivotal for optimal patient management. A recent metaanalysis concluded that the International Ovarian Tumor Analysis algorithms such as the Simple Rules are the best approaches to preoperatively classify adnexal masses as benign or malignant.

OBJECTIVE

We sought to develop and validate a model to predict the risk of malignancy in adnexal masses using the ultrasound features in the Simple Rules.

STUDY DESIGN

This was an international cross-sectional cohort study involving 22 oncology centers, referral centers for ultrasonography, and general hospitals. We included consecutive patients with an adnexal tumor who underwent a standardized transvaginal ultrasound examination and were selected for surgery. Data on 5020 patients were recorded in 3 phases from 2002 through 2012. The 5 Simple Rules features indicative of a benign tumor (B-features) and the 5 features indicative of malignancy (M-features) are based on the presence of ascites, tumor morphology, and degree of vascularity at ultrasonography. Gold standard was the histopathologic diagnosis of the adnexal mass (pathologist blinded to ultrasound findings). Logistic regression analysis was used to estimate the risk of malignancy based on the 10 ultrasound features and type of center. The diagnostic performance was evaluated by area under the receiver operating characteristic curve, sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), positive predictive value (PPV), negative predictive value (NPV), and calibration curves.

RESULTS

Data on 4848 patients were analyzed. The malignancy rate was 43% (1402/3263) in oncology centers and 17% (263/1585) in other centers. The area under the receiver operating characteristic curve on validation data was very similar in oncology centers (0.917; 95% confidence interval, 0.901-0.931) and other centers (0.916; 95% confidence interval, 0.873-0.945). Risk estimates showed good calibration. In all, 23% of patients in the validation data set had a very low estimated risk (<1%) and 48% had a high estimated risk (≥30%). For the 1% risk cutoff, sensitivity was 99.7%, specificity 33.7%, LR+ 1.5, LR- 0.010, PPV 44.8%, and NPV 98.9%. For the 30% risk cutoff, sensitivity was 89.0%, specificity 84.7%, LR+ 5.8, LR- 0.13, PPV 75.4%, and NPV 93.9%.

CONCLUSION

Quantification of the risk of malignancy based on the Simple Rules has good diagnostic performance both in oncology centers and other centers. A simple classification based on these risk estimates may form the basis of a clinical management system. Patients with a high risk may benefit from surgery by a gynecological oncologist, while patients with a lower risk may be managed locally.

Accuracy of transvaginal ultrasound for diagnosis of deep endometriosis in uterosacral ligaments, rectovaginal septum, vagina and bladder: systematic review and meta-analysis

OBJECTIVE

To review the diagnostic accuracy of transvaginal ultrasound (TVS) in the preoperative detection of endometriosis in the uterosacral ligaments (USL), rectovaginal septum (RVS), vagina and bladder in patients with clinical suspicion of deep infiltrating endometriosis (DIE).

METHODS

An extensive search was performed in MEDLINE (PubMed) and EMBASE for studies published between January 1989 and December 2014. Studies were considered eligible if they reported on the use of TVS for the preoperative detection of endometriosis in the USL, RVS, vagina and bladder in women with clinical suspicion of DIE using the surgical data as a reference standard. Study quality was assessed using the PRISMA guidelines and QUADAS-2 tool.

RESULTS

Of the 801 citations identified, 11 studies (n = 1583) were considered eligible and were included in the meta-analysis. For detection of endometriosis in the USL, the overall pooled sensitivity and specificity of TVS were 53% (95%CI, 35-70%) and 93% (95%CI, 83-97%), respectively. The pretest probability of USL endometriosis was 54%, which increased to 90% when suspicion of endometriosis was present after TVS examination. For detection of endometriosis in the RVS, the overall pooled sensitivity and specificity were 49% (95%CI, 36-62%) and 98% (95%CI, 95-99%), respectively. The pretest probability of RVS endometriosis was 24%, which increased to 89% when suspicion of endometriosis was present after TVS examination. For detection of vaginal endometriosis, the overall pooled sensitivity and specificity were 58% (95%CI, 40-74%) and 96% (95%CI, 87-99%), respectively. The pretest probability of vaginal endometriosis was 17%, which increased to 76% when suspicion of endometriosis was present after TVS assessment. Substantial heterogeneity was found for sensitivity and specificity for all these locations. For detection of bladder endometriosis, the overall pooled sensitivity and specificity were 62% (95%CI, 40-80%) and 100% (95%CI, 97-100%), respectively. Moderate heterogeneity was found for sensitivity and specificity for bladder endometriosis. The pretest probability of bladder endometriosis was 5%, which increased to 92% when suspicion of endometriosis was present after TVS assessment.

CONCLUSION

Overall diagnostic performance of TVS for detecting DIE in uterosacral ligaments, rectovaginal septum, vagina and bladder is fair with high specificity.

Terms, definitions and measurements to describe sonographic features of myometrium and uterine masses: a consensus opinion from the Morphological Uterus Sonographic Assessment (MUSA) group

The MUSA (Morphological Uterus Sonographic Assessment) statement is a consensus statement on terms, definitions and measurements that may be used to describe and report the sonographic features of the myometrium using gray-scale sonography, color/power Doppler and three-dimensional ultrasound imaging. The terms and definitions described may form the basis for prospective studies to predict the risk of different myometrial pathologies, based on their ultrasound appearance, and thus should be relevant for the clinician in daily practice and for clinical research. The sonographic features and use of terminology for describing the two most common myometrial lesions (fibroids and adenomyosis) and uterine smooth muscle tumors are presented.

Performance of three-dimensional power Doppler angiography as third-step assessment in differential diagnosis of adnexal masses

OBJECTIVE

To evaluate the contribution of three-dimensional (3D) power Doppler angiography (3D-PDA) to the differential diagnosis of adnexal masses.

METHODS

This was a prospective study in women diagnosed with a persistent adnexal mass and subsequently scheduled for surgery in a tertiary university hospital. All women were evaluated by transvaginal/transrectal ultrasound according to a predetermined three-step protocol, with transabdominal ultrasound being performed in some cases. First, morphological evaluation of the mass was performed using gray-scale 'pattern recognition' (first step). Lesions diagnosed as having a benign pattern were considered as being at low risk of malignancy whereas tumors with solid components, ascites and/or signs of carcinomatosis were considered as being at high risk of malignancy. In both cases no further test was performed and a decision regarding clinical management, either for follow-up or surgery, was taken. Tumors with solid components but without signs of ascites or carcinomatosis were considered as being at intermediate risk of malignancy. These lesions were assessed by two-dimensional (2D) PDA to evaluate tumor vascularity (color score) (second step). Solid tumors with a color score of 1 or 2 were considered as benign and no further test was performed, while tumors with a color score of 2, 3 or 4 within solid components or a color score of 3 or 4 in the case of a solid tumor were considered as malignant. The latter group underwent 3D-PDA assessment (third step). Vascularization index (VI) was calculated in a 1-mL sphere of the most vascularized area of the tumor. When a VI ≥ 24.015% was found, the tumor was considered as malignant. All masses were removed surgically and definitive histological diagnosis was used as the gold standard. Sensitivity and specificity for each strategy were calculated and compared. In the case of bilateral tumors, only the more suspicious one was used for analysis.

RESULTS

A total of 367 adnexal masses diagnosed in 367 women (mean age, 46.5 (range, 18-80) years) were evaluated during the study period. Of these, 86 masses were malignant and 281 were benign. The sensitivity and specificity for each assessment strategy were as follows: one-step, 97.7% and 78.6%; two-step, 94.2% and 97.9% (P < 0.001 for specificity when compared with that of one-step); three-step, 90.7% and 98.9% (not statistically significant when compared with that of two-step).

CONCLUSIONS

The addition of 2D-PDA in the differential diagnosis of an adnexal mass significantly increases specificity while sensitivity remains high; however performing subsequent 3D-PDA does not provide additional information or further improve diagnostic performance subsequent to 2D-PDA.

Endometriosis: the role of magnetic resonance imaging

Several imaging options are available today to diagnose endometriosis. Currently, the two techniques most used are sonography and magnetic resonance imaging (MRI). Three-dimensional (3D) sonography has proved to be particularly sensitive in the diagnosis of endometriosis. In recent years, MRI has emerged as a high reproducible method to explore endometriosis; moreover, its capability to evaluate tissue signal is an extremely powerful system in the differential diagnosis with other pathologies and for the identification of malignant degeneration. The purpose of this paper is to present the state-of-the-art of MRI of endometriosis by performing a review of the literature and showing the epidemiology, pathogenesis, and classification of endometriosis. In this work, the technique that should be used, MR findings of endometriosis and the principles of differential diagnosis are explained.

Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study

OBJECTIVES

To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage I invasive, stage II-IV invasive, and secondary metastatic ovarian tumours.

DESIGN

Observational diagnostic study using prospectively collected clinical and ultrasound data.

SETTING

24 ultrasound centres in 10 countries.

PARTICIPANTS

Women with an ovarian (including para-ovarian and tubal) mass and who underwent a standardised ultrasound examination before surgery. The model was developed on 3506 patients recruited between 1999 and 2007, temporally validated on 2403 patients recruited between 2009 and 2012, and then updated on all 5909 patients.

MAIN OUTCOME MEASURES

Histological classification and surgical staging of the mass.

RESULTS

The Assessment of Different NEoplasias in the adneXa (ADNEX) model contains three clinical and six ultrasound predictors: age, serum CA-125 level, type of centre (oncology centres v other hospitals), maximum diameter of lesion, proportion of solid tissue, more than 10 cyst locules, number of papillary projections, acoustic shadows, and ascites. The area under the receiver operating characteristic curve (AUC) for the classic discrimination between benign and malignant tumours was 0.94 (0.93 to 0.95) on temporal validation. The AUC was 0.85 for benign versus borderline, 0.92 for benign versus stage I cancer, 0.99 for benign versus stage II-IV cancer, and 0.95 for benign versus secondary metastatic. AUCs between malignant subtypes varied between 0.71 and 0.95, with an AUC of 0.75 for borderline versus stage I cancer and 0.82 for stage II-IV versus secondary metastatic. Calibration curves showed that the estimated risks were accurate.

CONCLUSIONS

The ADNEX model discriminates well between benign and malignant tumours and offers fair to excellent discrimination between four types of ovarian malignancy. The use of ADNEX has the potential to improve triage and management decisions and so reduce morbidity and mortality associated with adnexal pathology.

Ovarian Tissue Characterization in Ultrasound

Ovarian cancer is the most common cause of death among gynecological malignancies. We discuss different types of clinical and nonclinical features that are used to study and analyze the differences between benign and malignant ovarian tumors. Computer-aided diagnostic (CAD) systems of high accuracy are being developed as an initial test for ovarian tumor classification instead of biopsy, which is the current gold standard diagnostic test. We also discuss different aspects of developing a reliable CAD system for the automated classification of ovarian cancer into benign and malignant types. A brief description of the commonly used classifiers in ultrasound-based CAD systems is also given.

Reproducibility of two different methods for performing mean gray value evaluation of cyst content in endometriomas using VOCAL

OBJECTIVE

To compare two different methods (manual sampling of the entire cyst and semi-automated spherical sampling from the central part of the cyst) for calculating the mean gray value (MGV) from the cystic content in endometriomas using virtual organ computer-aided analysis (VOCAL).

METHODS

Forty-one volumes from histologically confirmed endometriomas were retrieved from our database and the volumes were analyzed to compare the MGVs obtained via the two modalities. In addition, to evaluate the reproducibility in a sample of 20 volumes, two different observers calculated the MGV from cyst content using VOCAL software. For each method, each examiner analyzed the volumes twice, 3 weeks apart, for assessment of intra-observer agreement. First, manual sampling of the internal contour of all the cysts was performed, and 1 week later semi-automated 2-cm sphere sampling from the central part of the cyst was carried out. In addition, the observers recorded the time spent performing each analysis. Inter- and intra-observer reproducibility was evaluated for each method using intra-class correlation coefficients (ICC).

RESULTS

There was no difference in the mean MGV between manual sampling (22.211 ± 7.541) and the semi-automated modality of sampling (23.840 ± 8.621, p = 0.439). The correlation between manual and semi-automated sampling measurement was high (r = 0.92). According to the ICCs, there was no significant difference in interobserver reliability between manual sampling (0.931; 95 % CI, 0.824-0.973) and the semi-automated modality of sampling (0.924; 95 % CI, 0.809-0.970). Intra-observer reproducibility for both examiners was good (ICC > 0.94). Semi-automated measurements were obtained faster than those obtained by manual evaluation (p = 0.0001 for observer 1 and p = 0.083 for observer 2).

CONCLUSIONS

Both methods seem to be reliable, but the semi-automated method using the sphere should be preferred because it is a less time-consuming procedure.

Strategies to diagnose ovarian cancer: new evidence from phase 3 of the multicentre international IOTA study

Background:

To compare different ultrasound-based international ovarian tumour analysis (IOTA) strategies and risk of malignancy index (RMI) for ovarian cancer diagnosis using a meta-analysis approach of centre-specific data from IOTA3.

Methods:

This prospective multicentre diagnostic accuracy study included 2403 patients with 1423 benign and 980 malignant adnexal masses from 2009 until 2012. All patients underwent standardised transvaginal ultrasonography. Test performance of RMI, subjective assessment (SA) of ultrasound findings, two IOTA risk models (LR1 and LR2), and strategies involving combinations of IOTA simple rules (SRs), simple descriptors (SDs) and LR2 with and without SA was estimated using a meta-analysis approach. Reference standard was histology after surgery.

Results:

The areas under the receiver operator characteristic curves of LR1, LR2, SA and RMI were 0.930 (0.917–0.942), 0.918 (0.905–0.930), 0.914 (0.886–0.936) and 0.875 (0.853–0.894). Diagnostic one-step and two-step strategies using LR1, LR2, SR and SD achieved summary estimates for sensitivity 90–96%, specificity 74–79% and diagnostic odds ratio (DOR) 32.8–50.5. Adding SA when IOTA methods yielded equivocal results improved performance (DOR 57.6–75.7). Risk of Malignancy Index had sensitivity 67%, specificity 91% and DOR 17.5.

Conclusions:

This study shows all IOTA strategies had excellent diagnostic performance in comparison with RMI. The IOTA strategy chosen may be determined by clinical preference.

Evolutionary algorithm-based classifier parameter tuning for automatic ovarian cancer tissue characterization and classification

PURPOSE

Ovarian cancer is one of the most common gynecological cancers in women. It is difficult to accurately and objectively diagnose benign and malignant ovarian tumors using ultrasound and other tests. Hence, there is an imperative need to develop a computer-aided diagnostic (CAD) system for ovarian tumor classification in order to reduce patient anxiety and the cost of unnecessary biopsies. In this paper, we present an automatic CAD system for the detection of benign and malignant ovarian tumors using advanced image processing and data mining techniques.

MATERIALS AND METHODS

In the proposed system, Hu's invariant moments, Gabor transform parameters and entropies are first extracted from the acquired ultrasound images. Significant features are then used to train a probabilistic neural network (PNN) classifier for classifying the images into benign and malignant categories. The model parameter (σ) for which the PNN classifier performs the best is identified using a genetic algorithm (GA).

RESULTS

The proposed system was validated using 1300 benign images and 1300 malignant images, obtained from 10 patients with a benign disease and 10 with a malignant disease. We used 23 statistically significant (p < 0.0001) features. By evaluating the classifier using a ten-fold cross-validation technique, we were able to achieve an average classification accuracy of 99.8 %, sensitivity of 99.2 % and specificity of 99.6 % with a σ of 0.264.

CONCLUSION

The proposed system is automated and hence is more objective, can be easily deployed in any computer, is fast and accurate and can act as an adjunct tool in helping physicians make a confident call about the nature of the ovarian tumor under evaluation.

Imaging in gynecological disease (9): clinical and ultrasound characteristics of tubal cancer

OBJECTIVES

To describe clinical history and ultrasound findings in patients with tubal carcinoma.

METHODS

Patients with a histological diagnosis of tubal cancer who had undergone preoperative ultrasound examination were identified from the databases of 13 ultrasound centers. The tumors were described by the principal investigator at each contributing center on the basis of ultrasound images, ultrasound reports and research protocols (when applicable) using the terms and definitions of the International Ovarian Tumor Analysis (IOTA) group. In addition, three authors reviewed together all available digital ultrasound images and described them using subjective evaluation of gray-scale and color Doppler ultrasound findings.

RESULTS

We identified 79 women with a histological diagnosis of primary tubal cancer, 70 of whom (89%) had serous carcinomas and 46 (58%) of whom presented at FIGO stage III. Forty-nine (62%) women were asymptomatic (incidental finding), whilst the remaining 30 complained of abdominal bloating or pain. Fifty-three (67%) tumors were described as solid at ultrasound examination, 14 (18%) as multilocular solid, 10 (13%) as unilocular solid and two (3%) as unilocular. No tumor was described as a multilocular mass. Most tumors (70/79, 89%) were moderately or very well vascularized on color or power Doppler ultrasound. Normal ovarian tissue was identified adjacent to the tumor in 51% (39/77) of cases. Three types of ultrasound appearance were identified as being typical of tubal carcinoma using pattern recognition: a sausage-shaped cystic structure with solid tissue protruding into it like a papillary projection (11/62, 18%); a sausage-shaped cystic structure with a large solid component filling part of the cyst cavity (13/62, 21%); an ovoid or oblong completely solid mass (36/62, 58%).

CONCLUSIONS

A well vascularized ovoid or sausage-shaped structure, either completely solid or with large solid component(s) in the pelvis, should raise the suspicion of tubal cancer, especially if normal ovarian tissue is seen adjacent to it.

IOTA simple rules for discriminating between benign and malignant adnexal masses: prospective external validation

OBJECTIVE

To determine the diagnostic performance of International Ovarian Tumor Analysis (IOTA) 'simple' rules for discriminating between benign and malignant adnexal masses.

METHODS

A prospective study was performed between January 2011 and June 2012. Eligible patients were women diagnosed with a persistent adnexal mass who presented to the participating centers. Four trainees evaluated the adnexal mass by transvaginal ultrasound under the supervision of an expert examiner. The trainee analyzed the mass according to IOTA simple rules and provided a diagnosis of benign, malignant or inconclusive. All women included in the study underwent surgery and tumor removal in the center of recruitment. Diagnostic performance was assessed by calculating sensitivity, specificity and positive (LR+) and negative (LR-) likelihood ratios.

RESULTS

A total of 340 women were included (mean patient age, 42.1 (range, 13-79) years). Of the tumors, 55 (16.2%) were malignant and 285 (83.8%) were benign. The IOTA simple rules could be applied in 270 (79.4%) cases. In these cases, sensitivity was 87.9% (95% CI, 72.4-95.2), specificity 97.5% (95% CI, 94.6-98.8), LR+ 34.7 (95% CI, 15.6-77.3) and LR- 0.12 (95% CI, 0.05-0.31).

CONCLUSIONS

Application of the IOTA simple rules yielded acceptable results in terms of specificity in the hands of non-expert examiners. However, with non-expert examiners there was a 12% false-negative rate, which is relatively high.

Intensive training program for ultrasound diagnosis of adnexal masses: protocol and preliminary results

OBJECTIVE

To assess the feasibility of a specific training program for ultrasound diagnosis of adnexal masses.

METHODS

A 2-month intensive training program was developed. The program protocol consisted of a 1-day intensive theoretical course focused on clinical and sonographic issues related to adnexal masses and ovarian cancer, followed by a 4-week real-time ultrasound training program in a tertiary center (25-30 adnexal masses evaluated per month) and a final 4-week period for offline assessment of three-dimensional (3D) volumes from adnexal masses. In this final period, each trainee evaluated five sets of 100 3D volumes. 3D volumes contained gray-scale and power Doppler information, and the trainee was provided with clinical data for each case (patient age, menopausal status and reported symptoms). 3D volumes were obtained from surgically removed masses that had undergone histological diagnosis or from masses that had been followed up until resolution. After assessment of each set, the trainee's diagnostic performance was calculated (sensitivity and specificity) and each incorrectly classified mass was evaluated with the trainer. The objective was to achieve a sensitivity of > 95% and a specificity of > 90%. Learning curve cumulative summation (LC-CUSUM) graphs were plotted to assess the learning curve for the trainees.

RESULTS

One trainer and two trainees with little experience in gynecological ultrasound (one gynecologist and one radiologist) participated in this study. LC-CUSUM graphs showed that competence was achieved after 170 or 185 examinations. The objectives for diagnostic performance were achieved after assessment of the second set of 3D volumes (200 cases) for each trainee.

CONCLUSIONS

The proposed training program appears to be feasible. High diagnostic performance can be achieved after analysis of 200 cases and maintained thereafter.

Three-dimensional sonography for diagnosis of rectovaginal septum endometriosis: interobserver agreement

OBJECTIVES

The aim of this study was to evaluate the interobserver agreement for diagnosis of deep endometriosis of the rectovaginal septum using introital 3-dimensional (3D) sonography.

METHODS

Two experienced observers (observers A and B) performed a retrospective review of stored 3D sonographic volumes from a sample of 84 consecutive patients with a clinical suspicion of endometriosis. Each observer, independently and blinded to each other, evaluated the presence or absence of involvement of the rectovaginal septum. When no lesion was seen, the observers were asked to judge whether the acquisition of the volume was suboptimal for interpretation or whether no lesion on the rectovaginal septum was detectable. One inadequate acquisition case was discarded; a total of 83 cases were evaluated. To calculate the performance of introital 3D sonography, 7 discordant cases were reviewed by a third observer. Interobserver agreement was assessed by calculating the κ index, and the sensitivity, specificity, positive predictive value, and negative predictive value for the 3 observers were also determined.

RESULTS

Interobserver agreement was 0.816 (95% confidence interval, 0.69-0.93), representing very good agreement. Sensitivity was 74.1%; specificity, 85.7%; positive predictive value, 71.4%; and negative predictive value, 87.3%.

CONCLUSIONS

Our results show that introital 3D sonography for diagnosis of deep endometriosis of the rectovaginal septum is reproducible, with very good interobserver agreement.

Expectant management of adnexal masses in selected premenopausal women: a prospective observational study

OBJECTIVE

To evaluate the results of expectant management of ovarian cysts with benign ultrasound morphology in selected asymptomatic premenopausal women.

METHODS

This was a prospective cohort study of premenopausal women diagnosed with a persistent adnexal cyst. Patients were selected according to symptoms (asymptomatic), the cyst's appearance on ultrasound (benign) and size (< 8 cm). Patients underwent a follow-up protocol with transvaginal ultrasound examination at 6-monthly intervals for 2 years and then annually for at least 3 years.

RESULTS

The study comprised 166 women (mean age, 40 years) with 192 masses present at inclusion. Twenty-two women (with 29 masses) were lost to follow-up. Seventy-four masses (38.5%) resolved spontaneously (median time from diagnosis to resolution, 40 months). Forty-nine masses (25.5%) persisted without change (median follow-up time, 88 (range, 36-192) months). Forty masses (20.8%) were surgically removed; 12 because of increase in size, four because a second lesion appeared during follow-up, three because of change in appearance and increase in size, five because of surgery for uterine benign or malignant disease, two because of change in appearance without increase in size, one because of clinical suspicion of ovarian torsion and 13 because of the patient's decision in spite of there being no change in the mass. Histology was benign in all but two cases (Stage Ia mucinous ovarian carcinoma and Stage Ia mucinous borderline tumor). During follow-up 40 new masses in 31 women were diagnosed, of which 21 resolved spontaneously, five (all with benign histology) were surgically removed and 14 were still present at the time of writing.

CONCLUSIONS

Expectant management of cysts with benign ultrasound morphology is a management option in selected asymptomatic premenopausal women.