Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound.

Ultrasound-based models exist to support the classification of adnexal masses but are subjective and rely upon ultrasound expertise. We aimed to develop an end-to-end machine learning (ML) model capable of automating the classification of adnexal masses. In this retrospective study, transvaginal ultrasound scan images with linked diagnoses (ultrasound subjective assessment or histology) were extracted and segmented from Imperial College Healthcare, UK (ICH development dataset; n = 577 masses; 1444 images) and Morgagni-Pierantoni Hospital, Italy (MPH external dataset; n = 184 masses; 476 images). A segmentation and classification model was developed using convolutional neural networks and traditional radiomics features. Dice surface coefficient (DICE) was used to measure segmentation performance and area under the ROC curve (AUC), F1-score and recall for classification performance. The ICH and MPH datasets had a median age of 45 (IQR 35-60) and 48 (IQR 38-57) years old and consisted of 23.1% and 31.5% malignant cases, respectively. The best segmentation model achieved a DICE score of 0.85 ± 0.01, 0.88 ± 0.01 and 0.85 ± 0.01 in the ICH training, ICH validation and MPH test sets. The best classification model achieved a recall of 1.00 and F1-score of 0.88 (AUC:0.93), 0.94 (AUC:0.89) and 0.83 (AUC:0.90) in the ICH training, ICH validation and MPH test sets, respectively. We have developed an end-to-end radiomics-based model capable of adnexal mass segmentation and classification, with a comparable predictive performance (AUC 0.90) to the published performance of expert subjective assessment (gold standard), and current risk models. Further prospective evaluation of the classification performance of this ML model against existing methods is required.

Epidemiology of infertility in women with endometriosis.

Endometriosis is a benign, chronic, inflammatory condition affecting up to 10 % of women and characterised by the presence of glands and stroma tissue outside the uterus. Epidemiological and clinical studies demonstrate a consistent association between endometriosis and infertility. However, this relationship is far to be clearly understood and several mechanisms are involved. Available data show that patients with endometriosis have an increased estimated risk of infertility between two and four times compared with the general population. On the other hand, the probability of patients with infertility to have endometriosis is reported up to about 50 % of the cases. Future studies should aim to better elucidate the mechanisms behind endometriosis-associated infertility in order to offer the more appropriate and tailored management for the patients.

Sentinel lymph node biopsy in endometrial cancer: When, how and in which patients.

The role of nodal dissection in patients with endometrial cancer has been intensively studied in several studies. Historically, systematic pelvic and para-aortic lymphadenectomy represented the gold standard surgical treatment to assess potential nodal involvement and consequently define the appropriate stage of the tumor. Over the last years, sentinel node biopsy (SLNB) has been introduced as a more targeted alternative to lymph node dissection for lymph node staging and it has become popular among gynecologic oncologists. However, no level A evidence is still available, and several features of the SLNB technique have been matter of discussion among clinicians and a universally accepted methodology is still not currently available. This narrative review aims to summarize the body of knowledge on SLNB to offer the reader a complete picture about the evolution of this technique over the last decades.

Advanced low grade serous ovarian cancer: A retrospective analysis of surgical and chemotherapeutic management in two high volume oncological centers.

Simple summary: Low-grade serous ovarian cancer (LGSOC) represents an uncommon histotype of serous ovarian cancer (accounting for approximately 5% of all ovarian cancer) with a distinct behavior compared to its high-grade serous counterpart, characterized by a better prognosis and low response rate to chemotherapeutic agents. Similar to high-grade serous ovarian cancer, cytoreductive surgery is considered crucial for patient survival. This retrospective study aimed to analyze the outcomes of women affected by advanced stages (III-IV FIGO) of LGSOC from two high-volume oncological centers for ovarian neoplasm. In particular, we sought to evaluate the impact on survival outcomes of optimal cytoreductive surgery [i.e., residual disease (RD) <10 mm at the end of surgery]. The results of our work confirm the role of complete cytoreduction (i.e., no evidence of disease after surgery) in the survival of patients and even the positive prognostic role of a minimal RD (i.e., <10 mm), whenever complete cytoreduction cannot be achieved. Background: Low-grade serous ovarian cancer (LGSOC) is a rare entity with different behavior compared to high-grade serous (HGSOC). Because of its general low chemosensitivity, complete cytoreductive surgery with no residual disease is crucial in advanced stage LGSOC. We evaluated the impact of optimal cytoreduction on survival outcome both at first diagnosis and at recurrence. Methods: We retrospectively studied consecutive patients diagnosed with advanced LGSOCs who underwent cytoreductive surgery in two oncological centers from January 1994 to December 2018. Survival curves were estimated by the Kaplan-Meier method, and 95% confidence intervals (95% CI) were estimated using the Greenwood formula. Results: A total of 92 patients were included (median age was 47 years, IQR 35-64). The median overall survival (OS) was 142.3 months in patients with no residual disease (RD), 86.4 months for RD 1-10 mm and 35.2 months for RD >10 mm (p = 0.002). Progression-free survival (PFS) was inversely related to RD after primary cytoreductive surgery (RD = 0 vs RD = 1-10 mm vs RD >10 mm, p = 0.002). On multivariate analysis, RD 1-10 mm (HR = 2.30, 95% CI 1.30-4.06, p = 0.004), RD >10 mm (HR = 3.89, 95% CI 1.92-7.88, p = 0.0004), FIGO stage IV (p = 0.001), and neoadjuvant chemotherapy (NACT) (p = 0.010) were independent predictors of PFS. RD >10 mm (HR = 3.13, 95% CI 1.52-6.46, p = 0.004), FIGO stage IV (p <0.0001) and NACT (p = 0.030) were significantly associated with a lower OS. Conclusions: Optimal cytoreductive surgery improves survival outcomes in advanced stage LGSOC s . When complete debulking is impossible, a RD <10 mm confers better OS compared to an RD >10 mm in this setting of patients.

Transvaginal ultrasound features of normal uterosacral ligaments.

OBJECTIVE: To show a step-by-step technique to assess normal uterosacral ligaments (USLs) during transvaginal ultrasound. Uterosacral ligaments represent the most common location of deep infiltrating endometriosis (DIE) in the posterior compartment and their involvement significantly increases the risk of ureteral lesions. The ultrasonographic diagnosis of DIE involving USLs is characterized by a wide range of accuracies described between studies, probably due to variations in the examination technique, quality of ultrasound equipment, and experience of the operators. Although described as a new classification system of DIE involving USLs, the technique for visualizing normal USLs has not yet been described. DESIGN: Stepwise demonstration of the technique with narrated video footage. SETTING: Academic tertiary hospital. PATIENT(S): The video shows a 33-year-old nulliparous woman scheduled for laparoscopic removal of a para-ovarian cyst of approximately 6 cm. Procedural steps were repeated and confirmed in another four patients submitted to laparoscopy for benign diseases (Table 1). Moreover, we here show the case of a 29-year-old woman with an isolated DIE nodule of the right USL with a comparison of laparoscopic and ultrasound findings. To better point out the technique applied in a clinical setting we show also cases of infiltrated USLs (Table 2) during the ultrasound scan in women scheduled for endometriosis surgery. Informed consent was obtained from all of the patients. The study protocol was approved by the local institutional Ethics Committee (580/2018/Oss/AOUBo). INTERVENTION(S): To understand correctly the right position of USLs we performed an ultrasound during a surgical procedure; in this way it was possible to recognize the area of interest while the surgeon filled the pouch of Douglas with fluid and highlighted the anatomical area with pliers. Uterosacral ligaments can be seen in the mid-sagittal and transverse view of the uterus. MAIN OUTCOME MEASURE(S): Description of appearance of normal USLs during transvaginal ultrasound. RESULT(S): Uterosacral ligaments, at transvaginal ultrasound, appear as hyperechoic stripes starting from the cervix and pointing laterally in a semi-horizontal direction. CONCLUSION(S): We provided a step-by-step technique (Table 3) that may be a useful tool to see accurately both the USLs at transvaginal ultrasound.

Comparison of Virtual Ultrasonographic Hysteroscopy with Conventional Hysteroscopy in the Workup of Patients Who Are Infertile.

STUDY OBJECTIVE: To compare the tolerability and diagnostic accuracy of virtual ultrasonographic hysteroscopy (VUH) with that of conventional diagnostic outpatient hysteroscopy in the workup of patients who are infertile. DESIGN: A single-center, retrospective cohort study. SETTING: Department of Obstetrics and Gynecology, Gynecologic Oncology, and Minimally Invasive Pelvic Surgery Unit of Sacred Heart Hospital Don Calabria in Negrar, Italy. PATIENTS: A total of 120 consecutive women who underwent hysterosalpingosonography and subsequent VUH and conventional hysteroscopy for infertility evaluation were included. The inclusion criterion was infertility for at least 1 year, with evaluation in the early or intermediate follicular phase of the menstrual cycle. INTERVENTIONS: After the placement of an intracervical catheter, a Ringer Lactate solution was injected into the uterine cavity and fallopian tubes, and a 3D volume was obtained. The ultrasound volume acquired was successively elaborated offline, and a VUH was performed. Subsequently, a variable amount of air was introduced into the uterine cavity, and the patency of the salpinges was evaluated. MEASUREMENTS AND MAIN RESULTS: The VUH findings were compared with those of conventional hysteroscopy performed in the subsequent month. For the detection of endometrial pathology in the overall pool, the sensitivity and specificity of VUH in comparison with conventional hysteroscopy were 100% (95% confidence interval [CI], 84.6%-100%) and 100% (95% CI, 96.3%-100%), respectively. For the detection of uterine cavity pathology and uterine malformations in the overall pool, the sensitivities of VUH were 80% (95% CI, 28.4%-99.5%) and 100% (95% CI, 75.3%-100%), respectively, with specificities of 100% (95% CI, 96.8%-100%) and 100% (95% CI, 96.6%-100%), respectively, when compared with conventional hysteroscopy. The positive predictive values for endometrial pathology, uterine cavity alterations, and uterine malformations were 100% (95% CI, 84.6%-100%), 100% (95% CI, 39.8%-100%), and 100% (95% CI, 75.3%-100%), respectively, with a receiver operating characteristic area of 100%, 90% (95% CI, 70%-100%), and 100%, respectively. There were no cases of severe vasovagal reactions or other complications. Most patients (67%, 81 of 120 women) described the examination as "less painful than expected," 25% (30 of 120 women) "just as expected," and only 7% (9 of 120 women) as "more painful than expected." CONCLUSION: VUH was well tolerated and showed a high accuracy (100%) in the study of the uterine cavity when compared with conventional hysteroscopy.

Uterine PEComa initially misdiagnosed as a leiomyoma: Sonographic findings and review of the literature.

Perivascular epithelioid cell neoplasms (PEComas) are rare mesenchymal tumors with malignant potential that arise from gynecological organs in up to 25% of cases. The lack of data regarding the preoperative US features of uterine PEComas is reflected by the frequent misdiagnosis with leiomyomas. We describe the sonographic appearance of a richly vascularized cervical PEComa mimicking a myoma and report the analysis of six additional cases in the literature with a description of their ultrasound features. Most cases involved a single lesion arising from the uterine cervix with a rapid growth pattern, regular margins, heterogeneous echogenicity, absence of shadowing, and moderate-to-rich vascularity.

Endometriosis and the Urinary Tract: From Diagnosis to Surgical Treatment.

We aim to describe the diagnosis and surgical management of urinary tract endometriosis (UTE). We detail current diagnostic tools, including advanced transvaginal ultrasound, magnetic resonance imaging, and surgical diagnostic tools such as cystourethroscopy. While discussing surgical treatment options, we emphasize the importance of an interdisciplinary team for complex cases that involve the urinary tract. While bladder deep endometriosis (DE) is more straightforward in its surgical treatment, ureteral DE requires a high level of surgical skill. Specialists should be aware of the important entity of UTE, due to the serious health implications for women. When UTE exists, it is important to work within an interdisciplinary radiological and surgical team.

Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively: multicentre cohort study.

OBJECTIVE: To evaluate the performance of diagnostic prediction models for ovarian malignancy in all patients with an ovarian mass managed surgically or conservatively. DESIGN: Multicentre cohort study. SETTING: 36 oncology referral centres (tertiary centres with a specific gynaecological oncology unit) or other types of centre. PARTICIPANTS: Consecutive adult patients presenting with an adnexal mass between January 2012 and March 2015 and managed by surgery or follow-up. MAIN OUTCOME MEASURES: Overall and centre specific discrimination, calibration, and clinical utility of six prediction models for ovarian malignancy (risk of malignancy index (RMI), logistic regression model 2 (LR2), simple rules, simple rules risk model (SRRisk), assessment of different neoplasias in the adnexa (ADNEX) with or without CA125). ADNEX allows the risk of malignancy to be subdivided into risks of a borderline, stage I primary, stage II-IV primary, or secondary metastatic malignancy. The outcome was based on histology if patients underwent surgery, or on results of clinical and ultrasound follow-up at 12 (±2) months. Multiple imputation was used when outcome based on follow-up was uncertain. RESULTS: The primary analysis included 17 centres that met strict quality criteria for surgical and follow-up data (5717 of all 8519 patients). 812 patients (14%) had a mass that was already in follow-up at study recruitment, therefore 4905 patients were included in the statistical analysis. The outcome was benign in 3441 (70%) patients and malignant in 978 (20%). Uncertain outcomes (486, 10%) were most often explained by limited follow-up information. The overall area under the receiver operating characteristic curve was highest for ADNEX with CA125 (0.94, 95% confidence interval 0.92 to 0.96), ADNEX without CA125 (0.94, 0.91 to 0.95) and SRRisk (0.94, 0.91 to 0.95), and lowest for RMI (0.89, 0.85 to 0.92). Calibration varied among centres for all models, however the ADNEX models and SRRisk were the best calibrated. Calibration of the estimated risks for the tumour subtypes was good for ADNEX irrespective of whether or not CA125 was included as a predictor. Overall clinical utility (net benefit) was highest for the ADNEX models and SRRisk, and lowest for RMI. For patients who received at least one follow-up scan (n=1958), overall area under the receiver operating characteristic curve ranged from 0.76 (95% confidence interval 0.66 to 0.84) for RMI to 0.89 (0.81 to 0.94) for ADNEX with CA125. CONCLUSIONS: Our study found the ADNEX models and SRRisk are the best models to distinguish between benign and malignant masses in all patients presenting with an adnexal mass, including those managed conservatively. TRIAL REGISTRATION: ClinicalTrials.gov NCT01698632.

Transvaginal Ultrasound and Doppler Features of Intraligamental Myomas.

OBJECTIVES: To describe the ultrasound (US) features of intraligamental myomas (IMs) using Morphological Uterus Sonographic Assessment group standardized terminology. METHODS: This was a retrospective monocentric study. A total of 125 consecutive women with a preoperative US diagnosis of a myoma located close to the uterine isthmus (International Federation of Gynecology and Obstetrics stages 5, 6, and 7) from 2016 to 2019 who underwent laparoscopic or laparotomic myomectomy or hysterectomy were included for study analyses. The US data were retrieved from US reports and stored digital images by 2 authors. Ultrasound features of myomas were described according to Morphological Uterus Sonographic Assessment terminology. Clinical data for the study population were retrieved from the patients' records. RESULTS: Nineteen women with a surgical confirmation of an IM were included in the study group; the remaining population constituted the control group (n = 106). Non-uniform echogenicity was detected in 17 of 19 (89%) of IMs compared to 26 of 106 (25%) fibroids in the control group (P < .001). The presence of shadowing was detected in 12 of 19 (63%) IMs compared to 94 of 106 (89%) cases in the control group (P = .004). Intraligamental myomas were more vascularized tumors compared to myomas in the control group (P = .004). Transvaginal US showed high specificity for the diagnosis of an IM (0.93; 95% confidence interval, 0.87-0.96). CONCLUSIONS: On US imaging, IMs appear as vascularized solid tumors with nonuniform echogenicity; cones of shadows were less frequent in IMs than the control group, and this finding can help in the differential diagnosis. Knowledge of their specific US features could help sonographers make an accurate diagnosis, allowing them to plan correct surgery and avoid severe complications.

The EFSUMB Guidelines and Recommendations for the Clinical Practice of Contrast-Enhanced Ultrasound (CEUS) in Non-Hepatic Applications: Update 2017 (Long Version).

The updated version of the EFSUMB guidelines on the application of non-hepatic contrast-enhanced ultrasound (CEUS) deals with the use of microbubble ultrasound contrast outside the liver in the many established and emerging applications.

The EFSUMB Guidelines and Recommendations for the Clinical Practice of Contrast-Enhanced Ultrasound (CEUS) in Non-Hepatic Applications: Update 2017 (Short Version).

The updated version of the EFSUMB guidelines on the application of non-hepatic contrast-enhanced ultrasound (CEUS) deals with the use of microbubble ultrasound contrast outside the liver in the many established and emerging applications.

Validation of the Performance of International Ovarian Tumor Analysis (IOTA) Methods in the Diagnosis of Early Stage Ovarian Cancer in a Non-Screening Population.

BACKGROUND: The aim of this study was to assess and compare the performance of different ultrasound-based International Ovarian Tumor Analysis (IOTA) strategies and subjective assessment for the diagnosis of early stage ovarian malignancy. METHODS: This is a secondary analysis of a prospective multicenter cross-sectional diagnostic accuracy study that included 1653 patients recruited at 18 centers from 2009 to 2012. All patients underwent standardized transvaginal ultrasonography by experienced ultrasound investigators. We assessed test performance of the IOTA Simple Rules (SRs), Simple Rules Risk (SRR), the Assessment of Different NEoplasias in the adneXa (ADNEX) model and subjective assessment to discriminate between stage I-II ovarian cancer and benign disease. Reference standard was histology after surgery. RESULTS: 230 (13.9%) patients proved to have stage I-II primary invasive ovarian malignancy, and 1423 (86.1%) had benign disease. Sensitivity and specificity with respect to malignancy (95% confidence intervals) of the original SRs (classifying all inconclusive cases as malignant) were 94.3% (90.6% to 96.7%) and 73.4% (71.0% to 75.6%). Subjective assessment had a sensitivity and specificity of 90.0% (85.4% to 93.2%) and 86.7% (84.9% to 88.4%), respectively. The areas under the receiver operator characteristic curves of SRR and ADNEX were 0.917 (0.902 to 0.933) and 0.905 (0.920 to 0.934), respectively. At a 1% risk cut-off, sensitivity and specificity for SRR were 100% (98.4% to 100%) and 38.0% (35.5% to 40.6%), and for ADNEX were 100% (98.4% to 100%) and 19.4% (17.4% to 21.5%). At a 30% risk cut-off, sensitivity and specificity for SRR were 88.3% (83.5% to 91.8%) and 81.1% (79% to 83%), and for ADNEX were 84.5% (80.5% to 89.6%) and 84.5% (82.6% to 86.3%). CONCLUSION: This study shows that all three IOTA strategies have good ability to discriminate between stage I-II ovarian malignancy and benign disease.

Clinical Utility of Risk Models to Refer Patients with Adnexal Masses to Specialized Oncology Care: Multicenter External Validation Using Decision Curve Analysis.

Purpose: To evaluate the utility of preoperative diagnostic models for ovarian cancer based on ultrasound and/or biomarkers for referring patients to specialized oncology care. The investigated models were RMI, ROMA, and 3 models from the International Ovarian Tumor Analysis (IOTA) group [LR2, ADNEX, and the Simple Rules risk score (SRRisk)].Experimental Design: A secondary analysis of prospectively collected data from 2 cross-sectional cohort studies was performed to externally validate diagnostic models. A total of 2,763 patients (2,403 in dataset 1 and 360 in dataset 2) from 18 centers (11 oncology centers and 7 nononcology hospitals) in 6 countries participated. Excised tissue was histologically classified as benign or malignant. The clinical utility of the preoperative diagnostic models was assessed with net benefit (NB) at a range of risk thresholds (5%-50% risk of malignancy) to refer patients to specialized oncology care. We visualized results with decision curves and generated bootstrap confidence intervals.Results: The prevalence of malignancy was 41% in dataset 1 and 40% in dataset 2. For thresholds up to 10% to 15%, RMI and ROMA had a lower NB than referring all patients. SRRisks and ADNEX demonstrated the highest NB. At a threshold of 20%, the NBs of ADNEX, SRrisks, and RMI were 0.348, 0.350, and 0.270, respectively. Results by menopausal status and type of center (oncology vs. nononcology) were similar.Conclusions: All tested IOTA methods, especially ADNEX and SRRisks, are clinically more useful than RMI and ROMA to select patients with adnexal masses for specialized oncology care. Clin Cancer Res; 23(17); 5082-90. ©2017 AACR.

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.

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.

Do women with deep infiltrating endometriosis have more tubal alterations? Objective evaluation of 473 patients.

OBJECTIVE: To evaluate whether deep infiltrating endometriosis (DIE) is associated with tubal alterations. STUDY DESIGN: This was a retrospective study. Our study included 335 women with ovarian endometriosis (Group A), 66 women with DIE (Group B), and 72 women presenting with both conditions (Group C). We evaluated tubal morphology and patency during laparoscopic excision of endometriosis. Tubal patency was assessed by tubal dye test. Tubal morphology was determined using the tubal morphology score (TMS), obtained by a total grade of 4 parameters: tubal caliber, course, surface and fimbrial morphology. RESULTS: There was no significant difference in the 3 groups regarding the presence of tubal occlusion (p = 0.23). Total TMS was not significantly different in the 3 groups (p = 0.13). A history of surgical treatment for endometriosis was associated with higher rate of tubal occlusion (p < 0.0005) and more severe morphological alterations (p < 0.0005). There was a positive correlation between number of previous surgical interventions and worse TMS (rho = 0.197, p < 0.0005). CONCLUSION: Alterations in tubal patency and morphology were not significantly different in patients with DIE as compared to women with ovarian endometriosis. History of surgical interventions for endometriosis was related with the presence of tubal alterations.

The pregnancy outcome in women with incidental diagnosis of septate uterus at first trimester scan.

BACKGROUND: Septate uterus seems to be strongly associated with an adverse pregnancy outcome. However, the possible relationship between septate uterus and miscarriage has only been retrospectively ascertained. The aim of our study was to describe the reproductive outcome in women with incidental diagnosis of malformed uterus at first trimester scan. METHODS: Women at their first pregnancy attending our centre for a routine viability scan with an incidental suspicion of uterine anomaly at standard sonography were submitted to transvaginal volume ultrasound. All the cases with a 3D diagnosis of septate uterus were prospectively recruited and followed up. RESULTS: Overall 24 patients with a single intrauterine pregnancy were included at a median gestational age of 8.2 weeks. The cumulative pregnancy progression rate, as quoted by Kaplan-Meier algorithm, was 33.3% due to the occurrence of early (≤ 13 weeks) or late miscarriages (14-22 weeks) in 13 and 3 cases, respectively. CONCLUSION: The pregnancy outcome is poor if a septate uterus is incidentally diagnosed in the early stage of a viable intrauterine pregnancy.

External validation of diagnostic models to estimate the risk of malignancy in adnexal masses.

PURPOSE: To externally validate and compare the performance of previously published diagnostic models developed to predict malignancy in adnexal masses. EXPERIMENTAL DESIGN: We externally validated the diagnostic performance of 11 models developed by the International Ovarian Tumor Analysis (IOTA) group and 12 other (non-IOTA) models on 997 prospectively collected patients. The non-IOTA models included the original risk of malignancy index (RMI), three modified versions of the RMI, six logistic regression models, and two artificial neural networks. The ability of the models to discriminate between benign and malignant adnexal masses was expressed as the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and likelihood ratios (LR(+), LR(-)). RESULTS: Seven hundred and forty-two (74%) benign and 255 (26%) malignant masses were included. The IOTA models did better than the non-IOTA models (AUCs between 0.941 and 0.956 vs. 0.839 and 0.928). The difference in AUC between the best IOTA and the best non-IOTA model was 0.028 [95% confidence interval (CI), 0.011-0.044]. The AUC of the RMI was 0.911 (difference with the best IOTA model, 0.044; 95% CI, 0.024-0.064). The superior performance of the IOTA models was most pronounced in premenopausal patients but was also observed in postmenopausal patients. IOTA models were better able to detect stage I ovarian cancer. CONCLUSION: External validation shows that the IOTA models outperform other models, including the current reference test RMI, for discriminating between benign and malignant adnexal masses.

A prospective blinded comparison of the accuracy of transvaginal sonography and frozen section in the assessment of myometrial invasion in endometrial cancer.

OBJECTIVE: To compare the accuracy of preoperative transvaginal sonography (TVS) and intraoperative frozen section (FS) in the assessment of myometrial invasion of endometrial carcinoma, having the definitive histological examination as gold standard. METHODS: 155 consecutive women (mean age 63 years, range 32-88) diagnosed as having endometrial carcinoma were prospectively evaluated at TVS in order to preoperatively stage the disease. All the patients subsequently underwent complete surgical staging including total abdominal hysterectomy, bilateral oophorectomy, pelvic and lumboaortic lymphadenectomy. After removal of the uterus, intraoperative FS was performed by pathologists with special interest in gynaecologic oncology in a predefined, standardized manner. Sensitivity, specificity, positive and negative predictive values were calculated for both modalities as regards neoplastic invasion of the myometrium. RESULTS: Overall, 131 women (84.5%) had an endometrioid adenocarcinoma, 8 (5.2%) an adenosquamos carcinoma, 7 (4.5%) a serous papillary carcinoma, 4 (2.6%) a clear cell carcinoma, 3 (1.9%) a mixed type carcinoma, 1 (0.6%) a carcinosarcoma, and 1 (0.6%) a mesodermal mixed malignant tumor. Sensitivity, specificity, positive and negative predictive values and accuracy for TVS in the evaluation of myometrial infiltration were: 75%, 89%, 86%, 79% and 81%. Corresponding features for FS were: 92%, 92%, 89%, 94% and 92%. The diagnostic performance of FS was higher than that of TVS (Cohen's K value: 0.841; p<0.0005). CONCLUSION: Intraoperative FS performed better than preoperative TVS in the assessment of myometrial invasion by endometrial cancer. Despite being time consuming, FS can be regarded as a useful modality in order to decide whether to perform lymphadenectomy in cases with poor visualization of the endometrium at TVS and when TVS gives inconclusive results.