Ovarian cancer: role of ultrasound in preoperative diagnosis and population screening

Comparative assessment of RMI-IV and RMI-V in preoperative prediction of ovarian tumor type in pregnant women

Prediction of ovarian tumor type in pregnant women is of great clinical significance, however, it is vastly difficult. In the last 5–10 years gynecologists were suggested to use RMI (Risk of Malignancy Index) in non-pregnant women, however the value of the test for obstetric practice has yet to be established. The study was aimed to determine RMI-IV and RMI-V during preoperative non-invasive prediction of ovarian tumor type in pregnant women. Retrospective and prospective clinical and laboratory data of 114 pregnant women aged 20–38 were collected. Among them 15 patients had malignant ovarian tumors (MOTs), 28 had borderline ovarian tumors (BOTs), and 71 had benign ovarian tumors. Color Doppler and pulsed wave Doppler ultrasound was performed. The levels of СА-125 were defined by enzyme immunoassay. Models IV, V were used to assess the risk of ovarian cancer. A moderate non-significant increase in blood levels of СА-125 compared to patients with benign ovarian tumors and BOTs was found in pregnant women with MOTs. Patients with BOTs and MOTs showed higher RMI-IV and RMI-V values compared to the group of pregnant women with benign ovarian tumors. Extreme values are required to guarantee the differences in the diagnosis of tumors (RMI-IV > 3500 indicate the presence of MOTs, the values below 100 indicate no malignancy). Similar RMI-V values are 1500 and 60. However, in most cases, availability of RMI-IV and RMI-V is insufficient for decision making, and a comprehensive approach has to be used. Thus, it is difficult to define ovarian mass type in pregnant women using RMI only. Comprehensive clinical assessment with the use of imaging methods is required for preoperative prediction of ovarian mass type in pregnant women, along with the use of prognostic models taking into account the majority of descriptive “morphological” tumor characteristics.

Ultrasound-based radiomics for predicting different pathological subtypes of epithelial ovarian cancer before surgery

Objective

To evaluate the value of ultrasound-based radiomics in the preoperative prediction of type I and type II epithelial ovarian cancer.

Methods

A total of 154 patients with epithelial ovarian cancer were enrolled retrospectively. There were 102 unilateral lesions and 52 bilateral lesions among a total of 206 lesions. The data for the 206 lesions were randomly divided into a training set (53 type I + 71 type II) and a test set (36 type I + 46 type II) by random sampling. ITK-SNAP software was used to manually outline the boundary of the tumor, that is, the region of interest, and 4976 features were extracted. The quantitative expression values of the radiomics features were normalized by the Z-score method, and the 7 features with the most differences were screened by using the Lasso regression tenfold cross-validation method. The radiomics model was established by logistic regression. The training set was used to construct the model, and the test set was used to evaluate the predictive efficiency of the model. On the basis of multifactor logistic regression analysis, combined with the radiomics score of each patient, a comprehensive prediction model was established, the nomogram was drawn, and the prediction effect was evaluated by analyzing the area under the receiver operating characteristic curve (AUC), calibration curve and decision curve.

Results

The AUCs of the training set and test set in the radiomics model and comprehensive model were 0.817 and 0.731 and 0.982 and 0.886, respectively. The calibration curve showed that the two models were in good agreement. The clinical decision curve showed that both methods had good clinical practicability.

Conclusion

The radiomics model based on ultrasound images has a good predictive effect for the preoperative differential diagnosis of type I and type II epithelial ovarian cancer. The comprehensive model has higher prediction efficiency.

Ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass

During routine antenatal ultrasound examinations, an ovarian mass can be found incidentally. In clinical practice, the differential diagnosis between benign and malignant ovarian masses is essential for planning further management. Ultrasound imaging has become the most popular diagnostic tool during pregnancy, with the recent development of ultrasonography. In non-pregnant women, several methods have been used to predict malignant ovarian masses before surgery. The International Ovarian Tumor Analysis (IOTA) group reported several scoring systems, such as the IOTA simple rules, IOTA logistic regression models, and IOTA assessment of different NEoplasias in the adneXa. Other researchers have also evaluated the malignancy of ovarian masses before surgery using scoring systems such as the Sassone score, pelvic mass score, DePriest score, Lerner score, and Ovarian-Adnexal Reporting and Data System. These researchers suggested specific features of ovarian masses that can be used for differential diagnosis, including size, proportion of solid tissue, papillary projections, inner wall structure, locules, wall thickness, septa, echogenicity, acoustic shadows, and presence of ascites. Although these factors can also be measured in pregnant women using ultrasound, only a few studies have applied ovarian scoring systems in pregnant women. In this article, we reviewed various scoring systems for predicting malignant tumors of the ovary and determined whether they can be applied to pregnant women.

Ultrasonography features and screening of ovarian masses in reproductive-age women

Ovarian neoplasms can develop at any age, carry a high risk for malignant transformation, reduce the reproductive potential of a woman and are an indication for surgery. The search for optimal screening algorithms for ovarian tumors is still ongoing. The aim of this study was to evaluate the prognostic efficacy of ultrasonography (US) features in differentiating between benign, malignant and borderline tumors in reproductive-age women. We examined 168 reproductive-age women with ovarian masses who underwent surgery in 2012–2015 and compared the results of histopathological examinations with pulsed-Doppler US findings. We did not establish a correlation between the size/volume of the tumor and their morphological structure. We identified the echotexture characteristics associated with malignancy, including the presence of a solid component (р < 0.001); septations (р = 0.029) and projections on the internal surface of the tumor capsule (р < 0.001); moderate or significant buildup of free fluid in the small pelvis (р = 0.007), and the nodular surface of the tumor capsule (р = 0.008). Solid ovarian masses were at increased (31.69-fold) risk of transformation into malignant or borderline tumors, whereas for a mixed (cystic and solid) type the risk of such transformation increased 3.46-fold. We also identified Doppler parameters that can clearly discriminate between benign and malignant growths, including the blood flow rate in the tumor over 1.85 cm/s (р = 0.007) and RMI over 0.16 (р = 0.013). The sensitivity and specificity of our diagnostic model are 87% and 68%, respectively, with a probability threshold of 0.3.

The incidence of occult ovarian neoplasia and cancer in BRCA1/2 mutation carriers after the bilateral prophylactic salpingo-oophorectomy (PBSO): A single-center prospective study

BACKGROUND

Due to ineffective ovarian cancer (OC) screening programs, prophylactic bilateral salpingo-oophorectomy (PBSO) is suggested for BRCA1/2 genes mutation carriers. The reported incidence of clinically occult neoplasia and OC detected during PBSO varies widely (2-17 %), reflecting differences in studies design.

OBJECTIVE

We aimed to prospectively evaluate the incidence of occult neoplasia in specimens collected during PBSO performed in a single tertiary center and to determine the effectiveness of this procedure in BRCA1/2 mutation carriers.

STUDY DESIGN

Between January 2010 and October 2016 a total of 564 new germline BRCA1/2 mutation positive women were identified and 71 carriers underwent laparoscopic PBSO. Patients were prospectively followed-up after the surgery and data on operation, age, complications, histological reports and BRCA1/2 gene mutation types were collected and analyzed.

RESULTS

Serous tubal intraepithelial carcinoma (STIC) was diagnosed in 7 (9.85 %) and OC in 4 (5.6 %) women (one advanced (FIGO IIIC) and 3 early (FIGO IA/C) stages); total incidence 15.5 %. Women's mean age at the time of surgery was 46.5 years. The mean age of women diagnosed with STIC and OC was 45.9 years (42-64). The mean follow up time for women being diagnosed with OC/STIC was 3.72 years; no recurrence was observed. The median time to perform laparoscopic PBSO was 43 min. (ranging from 25 to 65 min.), no surgical complications occurred during this operation. Interestingly, we found statistically significant (P = 0.0105) enrichment of STIC lesions in BRCA1 c.4035delA (an established Baltic founder mutation) carriers group.

CONCLUSION

The incidence of pathological findings in BRCA1/2 mutation carries after PBSO is sufficiently high and our prospective study data supports PBSO as the most effective measure for reducing the risk of OC in BRCA1/2 mutation carriers. A novel finding of the enrichment of STIC lesions in BRCA1 c.4035delA carriers may show important biological differences in OC tumorigenesis between different BRCA1 mutations, which warrant further investigations.

Prospective evaluation of IOTA logistic regression models LR1 and LR2 in comparison with subjective pattern recognition for diagnosis of ovarian cancer in an outpatient setting

OBJECTIVE

To determine whether International Ovarian Tumor Analysis (IOTA) logistic regression models LR1 and LR2 developed for the preoperative diagnosis of ovarian cancer could also be used to differentiate between benign and malignant adnexal tumors in the population of women attending gynecology outpatient clinics.

METHODS

This was a single-center prospective observational study of consecutive women attending our gynecological diagnostic outpatient unit, recruited between May 2009 and January 2012. All the women were first examined by a Level-II ultrasound operator. In those diagnosed with adnexal tumors, the IOTA-LR1/2 protocol was used to evaluate the masses. The LR1 and LR2 models were then used to assess the risk of malignancy. Subsequently, the women were also examined by a Level-III examiner, who used pattern recognition to differentiate between benign and malignant tumors. Women with an ultrasound diagnosis of malignancy were offered surgery, while asymptomatic women with presumed benign lesions were offered conservative management with a minimum follow-up of 12 months. The initial diagnosis was compared with two reference standards: histological findings and/or a comparative assessment of tumor morphology on follow-up ultrasound scans. All women for whom the tumor classification on follow-up changed from benign to malignant were offered surgery.

RESULTS

In the final analysis, 489 women who had either or both of the reference standards were included. Their mean age was 50 years (range, 16-91 years) and 45% were postmenopausal. Of the included women, 342/489 (69.9%) had surgery and 147/489 (30.1%) were managed conservatively. The malignancy rate was 137/489 (28.0%). Overall, sensitivities of LR1 and LR2 for the diagnosis of malignancy were 97.1% (95% CI, 92.7-99.2%) and 94.9% (95% CI, 89.8-97.9%) and specificities were 77.3% (95% CI, 72.5-81.5%) and 76.7% (95% CI, 71.9-81.0%), respectively (P > 0.05). In comparison with pattern recognition (sensitivity 94.2% (95% CI, 88.8-97.4%), specificity 96.3% (95% CI, 93.8-98.0%)), the specificities of the IOTA models were significantly lower (P < 0.0001). A significantly higher number of women would have been offered surgery for suspected cancer if the women had been assessed using the IOTA models instead of pattern recognition (213/489 (43.6%) vs 142/489 (29.0%); P < 0.001).

CONCLUSIONS

The IOTA models maintained their high sensitivity when used in an outpatient setting. Specificity was relatively low, which indicates that a significant proportion of the women would have been offered unnecessary surgery for suspected ovarian cancer. These findings show that the IOTA models could be used as a first-stage test to diagnose ovarian cancer in an outpatient setting, but a different second-stage test is required to minimize the number of false-positive findings. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.

Ovarian mass-differentiating benign from malignant: the value of the International Ovarian Tumor Analysis ultrasound rules

Ovarian cancer, the fifth most common cause of cancer death among women, has the highest mortality rate of all gynecologic cancers. General survival rate is <50% but can reach 90% if disease is detected early. Ultrasound is presently the best modality to differentiate between benign and malignant status. The patient with a malignant mass should be referred to an oncology surgeon since results have been shown to be superior to treatment by a specialist. Several ultrasound-based scoring systems exist for assessing the risk of an ovarian tumor to be malignant. The International Ovarian Tumor Analysis group published 2 such systems: the ultrasound Simple Rules and the Assessment of Different NEoplasias in the adneXa model. The Simple Rules classifies a tumor as benign, malignant, or indeterminate and the Assessment of Different NEoplasias in the adneXa model determines the risk for a tumor to be benign or malignant and, if malignant, the risk of various stages. Sensitivity of the Simple Rules and Assessment of Different NEoplasias in the adneXa model (using a cut-off of 10% to predict malignancy) are 92% and 96.5%, respectively, and specificities are 96% and 71.3%, respectively. These models are the best predictive tests for the preoperative classification of adnexal tumors. Their intent is to help the specialist make management decisions when faced with a patient with a persistent ovarian mass. The models are simple, are easy to use, and have been validated in multiple reports but not in the United States. We suggest they should be validated and widely introduced into medical practice in the United States.

Mathematical Models of Contrast Transport Kinetics for Cancer Diagnostic Imaging: A Review

Angiogenesis plays a fundamental role in cancer growth and the formation of metastasis. Novel cancer therapies aimed at inhibiting angiogenic processes and/or disrupting angiogenic tumor vasculature are currently being developed and clinically tested. The need for earlier and improved cancer diagnosis, and for early evaluation and monitoring of therapeutic response to angiogenic treatment, have led to the development of several imaging methods for in vivo noninvasive assessment of angiogenesis. The combination of dynamic contrast-enhanced imaging with mathematical modeling of the contrast agent kinetics enables quantitative assessment of the structural and functional changes in the microvasculature that are associated with tumor angiogenesis. In this paper, we review quantitative imaging of angiogenesis with dynamic contrast-enhanced magnetic resonance imaging, computed tomography, and ultrasound.

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.

The special role of ultrasound for screening, staging and surveillance of malignant ovarian tumors: distinction from other methods of diagnostic imaging

Ovarian cancer is the most aggressive gynecologic malignancy, with a 5-year survival rate ranging around 40%. A crucial factor influencing the prognosis is early detection of a suspicious mass and referral to a gynecologic oncology center for further diagnosis, staging and debulking surgery. Here, we present the different imaging methods ultrasound (US), magnetic resonance imaging, computer tomography (CT) and 18F-fluoro-deoxyglucose positron emission tomography (PET)/CT that are used for the characterization, diagnosis, staging and surveillance of ovarian cancer. In this review, we focus on US and discuss in detail the advantages and the limitations, as well as the appropriate indications for each of the individual imaging techniques.

Microarray Glycoprofiling of CA125 improves differential diagnosis of ovarian cancer

The CA125 biomarker assay plays an important role in the diagnosis and management of primary invasive epithelial ovarian/tubal cancer (iEOC). However, a fundamental problem with CA125 is that it is not cancer-specific and may be elevated in benign gynecological conditions such as benign ovarian neoplasms and endometriosis. Aberrant O-glycosylation is an inherent and specific property of cancer cells and could potentially aid in differentiating cancer from these benign conditions, thereby improving specificity of the assay. We report on the development of a novel microarray-based platform for profiling specific aberrant glycoforms, such as Neu5Acα2,6GalNAc (STn) and GalNAc (Tn), present on CA125 (MUC16) and CA15-3 (MUC1). In a blinded cohort study of patients with an elevated CA125 levels (30-500 kU/L) and a pelvic mass from the UK Ovarian Cancer Population Study (UKOPS), we measured STn-CA125, ST-CA125 and STn-CA15-3. The combined glycoform profile was able to distinguish benign ovarian neoplasms from invasive epithelial ovarian/tubule cancer (iEOCs) with a specificity of 61.1% at 90% sensitivity. The findings suggest that microarray glycoprofiling could improve differential diagnosis and significantly reduce the number of patients elected for further testing. The approach warrants further investigation in other cancers.

Acceptance of transvaginal sonography by postmenopausal women participating in the United Kingdom Collaborative Trial of Ovarian Cancer Screening

OBJECTIVE

To assess pain and overall experience of transvaginal sonography (TVS) in asymptomatic postmenopausal women.

METHODS

In the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS), 50 639 postmenopausal women were randomized to undergo annual TVS at 13 trial centers in England, Wales and Northern Ireland. Together with the appointment letter for their annual scan, a random sample of 150 women per center was sent a detailed 48-item postal questionnaire regarding the screening experience. It included a specific question about pain using a score of 0-5, where 5 was severe pain and 3 was discomfort. To assess factors that might affect a woman's reported pain experience, the pain score was regressed on age, hormone replacement therapy use, body mass index, a history of hysterectomy, prolonged scanning time, ovarian visualization, scan result, sonographer's visualization rates and opinion of the women regarding the sonographer who performed the scan.

RESULTS

Between 7 July and 9 September 2009, 1950 randomly chosen women (150 per regional center) were sent the questionnaire. Of the 800 (41.0%) who returned the questionnaire, 651 could be linked to their TVS appointment. One-hundred and fifty-two (23.3%) women reported pain/discomfort (score 3-5) during TVS and 473 (72.7%) reported no discomfort (score 0-2). Only 23 (3.5%) women reported experiencing moderate/severe pain. Increasing discomfort/pain was independently associated with a history of hysterectomy and participant's reporting of prolonged scan time. Women who experienced pain on TVS were less compliant (odds ratio = 0.87) with the following year's scan compared with those who did not experience pain.

CONCLUSIONS

The majority of postmenopausal women found TVS acceptable. Pain influenced compliance and correlated with women's perception of increased scanning time and previous hysterectomy.