MetDecode: methylation-based deconvolution of cell-free DNA for noninvasive multi-cancer typing.

MOTIVATION: Circulating-cell free DNA (cfDNA) is widely explored as a noninvasive biomarker for cancer screening and diagnosis. The ability to decode the cells of origin in cfDNA would provide biological insights into pathophysiological mechanisms, aiding in cancer characterization and directing clinical management and follow-up. RESULTS: We developed a DNA methylation signature-based deconvolution algorithm, MetDecode, for cancer tissue origin identification. We built a reference atlas exploiting de novo and published whole-genome methylation sequencing data for colorectal, breast, ovarian, and cervical cancer, and blood-cell-derived entities. MetDecode models the contributors absent in the atlas with methylation patterns learnt on-the-fly from the input cfDNA methylation profiles. In addition, our model accounts for the coverage of each marker region to alleviate potential sources of noise. In-silico experiments showed a limit of detection down to 2.88% of tumor tissue contribution in cfDNA. MetDecode produced Pearson correlation coefficients above 0.95 and outperformed other methods in simulations (P < 0.001; T-test; one-sided). In plasma cfDNA profiles from cancer patients, MetDecode assigned the correct tissue-of-origin in 84.2% of cases. In conclusion, MetDecode can unravel alterations in the cfDNA pool components by accurately estimating the contribution of multiple tissues, while supplied with an imperfect reference atlas. AVAILABILITY AND IMPLEMENTATION: MetDecode is available at https://github.com/JorisVermeeschLab/MetDecode.

Fertility-sparing treatment and follow-up in patients with cervical cancer, ovarian cancer, and borderline ovarian tumours: guidelines from ESGO, ESHRE, and ESGE.

The European Society of Gynaecological Oncology, the European Society of Human Reproduction and Embryology, and the European Society for Gynaecological Endoscopy jointly developed clinically relevant and evidence-based guidelines focusing on key aspects of fertility-sparing strategies and follow-up of patients with cervical cancers, ovarian cancers, and borderline ovarian tumours. The developmental process of these guidelines is based on a systematic literature review and critical appraisal involving an international multidisciplinary development group consisting of 25 experts from relevant disciplines (ie, gynaecological oncology, oncofertility, reproductive surgery, endoscopy, imaging, conservative surgery, medical oncology, and histopathology). Before publication, the guidelines were reviewed by 121 independent international practitioners in cancer care delivery and patient representatives. The guidelines comprehensively cover oncological aspects of fertility-sparing strategies during the initial management, optimisation of fertility results and infertility management, and the patient's desire for future pregnancy and beyond.

Role of artificial intelligence applied to ultrasound in gynecology oncology: A systematic review.

The aim of this paper was to explore the role of artificial intelligence (AI) applied to ultrasound imaging in gynecology oncology. Web of Science, PubMed, and Scopus databases were searched. All studies were imported to RAYYAN QCRI software. The overall quality of the included studies was assessed using QUADAS-AI tool. Fifty studies were included, of these 37/50 (74.0%) on ovarian masses or ovarian cancer, 5/50 (10.0%) on endometrial cancer, 5/50 (10.0%) on cervical cancer, and 3/50 (6.0%) on other malignancies. Most studies were at high risk of bias for subject selection (i.e., sample size, source, or scanner model were not specified; data were not derived from open-source datasets; imaging preprocessing was not performed) and index test (AI models was not externally validated) and at low risk of bias for reference standard (i.e., the reference standard correctly classified the target condition) and workflow (i.e., the time between index test and reference standard was reasonable). Most studies presented machine learning models (33/50, 66.0%) for the diagnosis and histopathological correlation of ovarian masses, while others focused on automatic segmentation, reproducibility of radiomics features, improvement of image quality, prediction of therapy resistance, progression-free survival, and genetic mutation. The current evidence supports the role of AI as a complementary clinical and research tool in diagnosis, patient stratification, and prediction of histopathological correlation in gynecological malignancies. For example, the high performance of AI models to discriminate between benign and malignant ovarian masses or to predict their specific histology can improve the diagnostic accuracy of imaging methods.

Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery.

BACKGROUND: Several diagnostic prediction models to help clinicians discriminate between benign and malignant adnexal masses are available. This study is a head-to-head comparison of the performance of the Assessment of Different NEoplasias in the adneXa (ADNEX) model with that of the Risk of Ovarian Malignancy Algorithm (ROMA). METHODS: This is a retrospective study based on prospectively included consecutive women with an adnexal tumour scheduled for surgery at five oncology centres and one non-oncology centre in four countries between 2015 and 2019. The reference standard was histology. Model performance for ADNEX and ROMA was evaluated regarding discrimination, calibration, and clinical utility. RESULTS: The primary analysis included 894 patients, of whom 434 (49%) had a malignant tumour. The area under the receiver operating characteristic curve (AUC) was 0.92 (95% CI 0.88-0.95) for ADNEX with CA125, 0.90 (0.84-0.94) for ADNEX without CA125, and 0.85 (0.80-0.89) for ROMA. ROMA, and to a lesser extent ADNEX, underestimated the risk of malignancy. Clinical utility was highest for ADNEX. ROMA had no clinical utility at decision thresholds <27%. CONCLUSIONS: ADNEX had better ability to discriminate between benign and malignant adnexal tumours and higher clinical utility than ROMA. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov NCT01698632 and NCT02847832.

Prediction of non-resectability in tubo-ovarian cancer patients using Peritoneal Cancer Index - A prospective multicentric study using imaging (ISAAC study).

BACKGROUND: The aim was to evaluate the performance of the Peritoneal Cancer Index (PCI) using imaging (ultrasound, contrast-enhanced computed tomography (CT), and whole-body diffusion-weighted magnetic resonance imaging (WB-DWI/MRI) in assessing peritoneal carcinomatosis and predicting non-resectability in tubo-ovarian carcinoma patients. METHODS: This was a prospective multicenter observational study. We considered all patients with suspected primary ovarian/tubal/peritoneal cancer who underwent preoperative ultrasound, CT, and WB-DWI/MRI (if available). The optimal cut off value for assessing the performance of the methods in predicting non-resectability was identified at the point at which the sensitivity and specificity were most similar. The reference standard to predict non-resectability was surgical outcome in terms of residual disease >1 cm or surgery not feasible. Agreement between imaging methods and surgical exploration in assessing sites included in the PCI score was evaluated using the Intraclass Correlation Coefficient (ICC). RESULTS: 242 patients were included from January 2020 until November 2022. The optimal PCI cut-off for predicting non-resectability for surgical exploration was >12, which achieved the best AUC of 0.87, followed by ultrasound with a cut-off of >10 and AUC of 0.81, WB-DWI/MRI with a cut-off of >12 and AUC of 0.81, and CT with a cut-off of >11 and AUC of 0.74. Using ICC, ultrasound had very high agreement (0.94) with surgical PCI, while CT and WB-DWI/MRI had high agreement (0.86 and 0.87, respectively). CONCLUSION: Ultrasound performed by an expert operator had the best agreement with surgical findings compared to WB-DWI/MRI and CT in assessing radiological PCI. In predicting non-resectability, ultrasound was non-inferior to CT, while its non-inferiority to WB-DWI/MRI was not demonstrated.

Comparison of clinical and ultrasound examinations in assessing the parametria in patients with deep infiltrating endometriosis: a multicentre prospective study.

RESEARCH QUESTION: How do clinical rectovaginal examination and transvaginal ultrasound examination perform in the diagnosis of parametrial infiltration in patients with endometriosis? DESIGN: This was a multicentre prospective observational study. Patients with suspected deep endometriosis at clinical examination and/or at ultrasound evaluation and scheduled for surgery were included. Following multicentre multidisciplinary meetings, consensus was obtained on terms and methodology to define the parametrium at pelvic anatomy, ultrasound and surgery. Sensitivity, specificity, accuracy, and positive and negative likelihood ratios were calculated for clinical and ultrasound examinations with respect to surgery. RESULTS: In total, 195 women were selected for the present study and 164 were included in the analysis. Ultrasound examination had good to high specificity (>80%) for all parameters, except the left lateral parametrium (78.8%). The sensitivity of ultrasound examination was good to high for fixity of the right and left ovaries, uterosacral ligaments, retrocervix and rectovaginal space; and low for the anterior and lateral parametria, vagina, bladder and bowel. Clinical examination had good to high specificity for fixity of the left ovary, anterior parametrium, right uterosacral ligament, retrocervix and vagina; and low specificity for fixity of the right ovary, lateral parametrium, left uterosacral ligament and rectovaginal space. The sensitivity of clinical examination was good for the uterosacral ligaments and rectovaginal space, and low for the remaining parameters. CONCLUSION: Ultrasound examination provided good specificity for all the parameters, but sensitivity was low for the anterior and lateral parametria. Clinical examination provided good specificity for the anterior and posterior parametria, but sensitivity was low for the anterior and lateral parametria. Further prospective studies are needed to validate this methodology and confirm the results.

A clinical ultrasound algorithm to identify uterine sarcoma and smooth muscle tumors of uncertain malignant potential in patients with myometrial lesions: the MYometrial Lesion UltrasouNd And mRi study.

BACKGROUND: Differential diagnosis between benign uterine smooth muscle tumors and malignant counterpart is challenging. OBJECTIVE: To evaluate the accuracy of a clinical and ultrasound based algorithm in predicting mesenchymal uterine malignancies, including smooth muscle tumors of uncertain malignant potential. STUDY DESIGN: We report the 12-month follow-up of an observational, prospective, single-center study that included women with at least 1 myometrial lesion ≥3 cm on ultrasound examination. These patients were classified according to a 3-class diagnostic algorithm, using symptoms and ultrasound features. "White" patients underwent annual telephone follow-up for 2 years, "Green" patients underwent a clinical and ultrasound follow-up at 6, 12, and 24 months and "Orange" patients underwent surgery. We further developed a risk class system to stratify the malignancy risk. RESULTS: Two thousand two hundred sixty-eight women were included and target lesion was classified as benign in 2158 (95.1%), as other malignancies in 58 (2.6%) an as mesenchymal uterine malignancies in 52 (2.3%) patients. At multivariable analysis, age (odds ratio 1.05 [95% confidence interval 1.03-1.07]), tumor diameter >8 cm (odds ratio 5.92 [95% confidence interval 2.87-12.24]), irregular margins (odds ratio 2.34 [95% confidence interval 1.09-4.98]), color score=4 (odds ratio 2.73 [95% confidence interval 1.28-5.82]), were identified as independent risk factors for malignancies, whereas acoustic shadow resulted in an independent protective factor (odds ratio 0.39 [95% confidence interval 0.19-0.82[). The model, which included age as a continuous variable and lesion diameter as a dichotomized variable (cut-off 81 mm), provided the best area under the curve (0.87 [95% confidence interval 0.82-0.91]). A risk class system was developed, and patients were classified as low-risk (predictive model value <0.39%: 0/606 malignancies, risk 0%), intermediate risk (predictive model value 0.40%-2.2%: 9/1093 malignancies, risk 0.8%), high risk (predictive model value ≥2.3%: 43/566 malignancies, risk 7.6%). CONCLUSION: The preoperative 3-class diagnostic algorithm and risk class system can stratify women according to risk of malignancy. Our findings, if confirmed in a multicenter study, will permit differentiation between benign and mesenchymal uterine malignancies allowing a personalized clinical approach.

Prediction of nonresectability using the updated Predictive Index value model assessed by imaging and surgery in tubo-ovarian cancer: a prospective multicenter ISAAC study.

BACKGROUND: A laparoscopy-based scoring system was developed by Fagotti et al (Fagotti or Predictive Index value (PIV)score) based on the intraoperative presence or absence of carcinomatosis on predefined sites. Later, the authors updated the PIV score calculated only in the absence of one or both absolute criteria of nonresectability (mesenteric retraction and miliary carcinomatosis of the small bowel) (updated PIV model). OBJECTIVE: The aim was to demonstrate the noninferiority of ultrasound to other imaging methods (contrast enhanced computed tomography (CT) and whole-body diffusion-weighted magnetic resonance imaging (WB-DWI)/MRI) in predicting nonresectable tumor (defined as residual disease >1 cm) using the updated PIV model in patients with tubo-ovarian cancer. The agreement between imaging and intraoperative findings as a reference was also calculated. STUDY DESIGN: This was a European prospective multicenter observational study. We included patients with suspected tubo-ovarian carcinoma who underwent preoperative staging and prediction of nonresectability at ultrasound, CT, WB-DWI/MRI, and surgical exploration. Ultrasound and CT were mandatory index tests, while WB-DWI/MRI was an optional test (non-available in all centers). The predictors of nonresectability were suspicious mesenteric retraction and/or miliary carcinomatosis of the small bowel or if absent, a PIV >8 (updated PIV model). The PIV score ranges from 0 to 12 according to the presence of disease in 6 predefined intra-abdominal sites (great omentum, liver surface, lesser omentum/stomach/spleen, parietal peritoneum, diaphragms, bowel serosa/mesentery). The reference standard was surgical outcome, in terms of residual disease >1 cm, assessed by laparoscopy and/or laparotomy. The area under the receiver operating characteristic curve (AUC) to assess the performance of the methods in predicting nonresectability was reported. Concordance between index tests at the detection of disease at 6 predefined sites and intraoperative exploration as reference standard was also calculated using Cohen's kappa. RESULTS: The study was between 2018 and 2022 in 5 European gynecological oncology centers. Data from 242 patients having both mandatory index tests (ultrasound and CT) were analyzed. 145/242 (59.9%) patients had no macroscopic residual tumor after surgery (R0) (5/145 laparoscopy and 140/145 laparotomy) and 17/242 (7.0%) had residual tumor ≤1 cm (R1) (laparotomy). In 80/242 patients (33.1%), the residual tumor was>1 cm (R2), 30 of them underwent laparotomy and maximum surgery was carried out, and 50/80 underwent laparoscopy only, because cytoreduction was not feasible in all of them. After excluding 18/242 (7.4%) patients operated on but not eligible for extensive surgery, the predictive performance of 3 imaging methods was analyzed in 167 women. The AUCs of all methods in discriminating between resectable and nonresectable tumor was 0.80 for ultrasound, 0.76 for CT, 0.71 for WB-DWI/MRI, and 0.90 for surgical exploration. Ultrasound had the highest agreement (Cohen's kappa ranging from 0.59 to 0.79) than CT and WB-DWI/MRI to assess all parameters included in the updated PIV model. CONCLUSION: Ultrasound showed noninferiority to CT and to WB-DWI/MRI in discriminating between resectable and nonresectable tumor using the updated PIV model. Ultrasound had the best agreement between imaging and intraoperative findings in the assessment of parameters included in the updated PIV model. Ultrasound is an acceptable method to assess abdominal disease and predict nonresectability in patients with tubo-ovarian cancer in the hands of specially trained ultrasound examiners.

Ultrasound-guided robotic surgical procedures: a systematic review.

INTRODUCTION: Ultrasound has been nicknamed "the surgeon's stethoscope". The advantages of laparoscopic ultrasound beyond a substitute for the sense of touch are considerable, especially for robotic surgery. Being able to see through parenchyma and into vascular structures enables to avoid unnecessary dissection by providing a thorough assessment at every stage without the need for contrast media or ionising radiation. The limitations of restricted angulation and access within the abdominal cavity during laparoscopy can be overcome by robotic handling of miniaturised ultrasound probes and the use of various and specific frequencies will meet tissue- and organ-specific characteristics. The aim of this systematic review was to assess the reported applications of intraoperative ultrasound-guided robotic surgery and to outline future perspectives. METHODS: The study adhered to the PRISMA guidelines. PubMed, Google Scholar, ScienceDirect and ClinicalTrials.gov were searched up to October 2023. Manuscripts reporting data on ultrasound-guided robotic procedures were included in the qualitative analysis. RESULTS: 20 studies met the inclusion criteria. The majority (53%) were related to the field of general surgery during liver, pancreas, spleen, gallbladder/bile duct, vascular and rectal surgery. This was followed by other fields of oncological surgery (42%) including urology, lung surgery, and retroperitoneal lymphadenectomy for metastases. Among the studies, ten (53%) focused on locating tumoral lesions and defining resection margins, four (15%) were designed to test the feasibility of robotic ultrasound-guided surgery, while two (10.5%) aimed to compare robotic and laparoscopic ultrasound probes. Additionally two studies (10.5%) evaluated the robotic drop-in probe one (5%) assessed the hepatic tissue consistency and another one (5%) aimed to visualize the blood flow in the splenic artery. CONCLUSION: The advantages of robotic instrumentation, including ergonomics, dexterity, and precision of movements, are of relevance for robotic intraoperative ultrasound (RIOUS). The present systematic review demonstrates the virtue of RIOUS to support surgeons and potentially reduce minimally invasive procedure times.

Patient satisfaction with ultrasound, whole-body CT and whole-body diffusion-weighted MRI for pre-operative ovarian cancer staging: a multicenter prospective cross-sectional survey.

BACKGROUND: In addition to the diagnostic accuracy of imaging methods, patient-reported satisfaction with imaging methods is important. OBJECTIVE: To report a secondary outcome of the prospective international multicenter Imaging Study in Advanced ovArian Cancer (ISAAC Study), detailing patients' experience with abdomino-pelvic ultrasound, whole-body contrast-enhanced computed tomography (CT), and whole-body diffusion-weighted magnetic resonance imaging (WB-DWI/MRI) for pre-operative ovarian cancer work-up. METHODS: In total, 144 patients with suspected ovarian cancer at four institutions in two countries (Italy, Czech Republic) underwent ultrasound, CT, and WB-DWI/MRI for pre-operative work-up between January 2020 and November 2022. After having undergone all three examinations, the patients filled in a questionnaire evaluating their overall experience and experience in five domains: preparation before the examination, duration of examination, noise during the procedure, radiation load of CT, and surrounding space. Pain perception, examination-related patient-perceived unexpected, unpleasant, or dangerous events ('adverse events'), and preferred method were also noted. RESULTS: Ultrasound was the preferred method by 49% (70/144) of responders, followed by CT (38%, 55/144), and WB-DWI/MRI (13%, 19/144) (p<0.001). The poorest experience in all domains was reported for WB-DWI/MRI, which was also associated with the largest number of patients who reported adverse events (eg, dyspnea). Patients reported higher levels of pain during the ultrasound examination than during CT and WB-DWI/MRI (p<0.001): 78% (112/144) reported no pain or mild pain, 19% (27/144) moderate pain, and 3% (5/144) reported severe pain (pain score >7 of 10) during the ultrasound examination. We did not identify any factors related to patients' preferred method. CONCLUSION: Ultrasound was the imaging method preferred by most patients despite being associated with more pain during the examination in comparison with CT and WB-DWI/MRI. TRIAL REGISTRATION NUMBER: NCT03808792.

Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithm.

BACKGROUND: Assessing malignancy risk is important to choose appropriate management of ovarian tumors. We compared six algorithms to estimate the probabilities that an ovarian tumor is benign, borderline malignant, stage I primary invasive, stage II-IV primary invasive, or secondary metastatic. METHODS: This retrospective cohort study used 5909 patients recruited from 1999 to 2012 for model development, and 3199 patients recruited from 2012 to 2015 for model validation. Patients were recruited at oncology referral or general centers and underwent an ultrasound examination and surgery ≤ 120 days later. We developed models using standard multinomial logistic regression (MLR), Ridge MLR, random forest (RF), XGBoost, neural networks (NN), and support vector machines (SVM). We used nine clinical and ultrasound predictors but developed models with or without CA125. RESULTS: Most tumors were benign (3980 in development and 1688 in validation data), secondary metastatic tumors were least common (246 and 172). The c-statistic (AUROC) to discriminate benign from any type of malignant tumor ranged from 0.89 to 0.92 for models with CA125, from 0.89 to 0.91 for models without. The multiclass c-statistic ranged from 0.41 (SVM) to 0.55 (XGBoost) for models with CA125, and from 0.42 (SVM) to 0.51 (standard MLR) for models without. Multiclass calibration was best for RF and XGBoost. Estimated probabilities for a benign tumor in the same patient often differed by more than 0.2 (20% points) depending on the model. Net Benefit for diagnosing malignancy was similar for algorithms at the commonly used 10% risk threshold, but was slightly higher for RF at higher thresholds. Comparing models, between 3% (XGBoost vs. NN, with CA125) and 30% (NN vs. SVM, without CA125) of patients fell on opposite sides of the 10% threshold. CONCLUSION: Although several models had similarly good performance, individual probability estimates varied substantially.

Transvaginal ultrasound-guided biopsy in patients with suspicious primary advanced tubo-ovarian carcinoma.

OBJECTIVE: To assess the accuracy of pathological diagnosis by transvaginal ultrasound-guided biopsy versus surgery in patients with suspicious primary advanced tubo-ovarian carcinoma. The Feasibility, adequacy, and safety of the procedure were also evaluated. METHODS: Consecutive women with pre-operative suspicious primary advanced tubo-ovarian carcinoma presenting between July 2019 and September 2021 were enrolled. Accuracy was calculated including only cases who underwent surgery. Feasibility was defined as the number of cases in which ultrasound-guided biopsy was possible according to tumor characteristics (morphology and site). Adequacy was defined as the number of conclusive diagnoses out of the samples collected. Safety was defined by the number of major complications which were defined as hospitalization, surgery, and/or blood transfusion. RESULTS: A total of 278 patients were eligible for the study; 158 were enrolled, while 120 were excluded for logistic reasons or patient refusal. Ultrasound-guided biopsy was not feasible in 30 (19%) patients. The samples obtained in the remaining 128 patients were all adequate (100%), and no major complications were noted. A total of 26 (20%) patients started neoadjuvant chemotherapy on the basis of the diagnosis obtained by ultrasound, whereas 102 (80%) patients underwent surgery. Accuracy of ultrasound-guided biopsy versus surgery was 94% (96/102), with six false negative cases at ultrasound (6%). Site (prevesical peritoneum) and size (<8 mm) of the nodules resulted as major predictive factors for ultrasound-guided biopsy failure (false negative). Ultrasound-guided biopsy correctly identified 86 primary invasive tubo-ovarian carcinomas and 10 metastatic tumors. CONCLUSION: Ultrasound-guided biopsy is a feasible, safe, and accurate method to provide histological diagnosis in suspicious advanced tubo-ovarian cancer patients.

Pan-Cancer Detection and Typing by Mining Patterns in Large Genome-Wide Cell-Free DNA Sequencing Datasets.

BACKGROUND: Cell-free DNA (cfDNA) analysis holds great promise for non-invasive cancer screening, diagnosis, and monitoring. We hypothesized that mining the patterns of cfDNA shallow whole-genome sequencing datasets from patients with cancer could improve cancer detection. METHODS: By applying unsupervised clustering and supervised machine learning on large cfDNA shallow whole-genome sequencing datasets from healthy individuals (n = 367) and patients with different hematological (n = 238) and solid malignancies (n = 320), we identified cfDNA signatures that enabled cancer detection and typing. RESULTS: Unsupervised clustering revealed cancer type-specific sub-grouping. Classification using a supervised machine learning model yielded accuracies of 96% and 65% in discriminating hematological and solid malignancies from healthy controls, respectively. The accuracy of disease type prediction was 85% and 70% for the hematological and solid cancers, respectively. The potential utility of managing a specific cancer was demonstrated by classifying benign from invasive and borderline adnexal masses with an area under the curve of 0.87 and 0.74, respectively. CONCLUSIONS: This approach provides a generic analytical strategy for non-invasive pan-cancer detection and cancer type prediction.

Diagnostic performance of ultrasound in assessing the extension of disease in advanced ovarian cancer.

BACKGROUND: Surgical exploration remains the gold standard for evaluating the extension of disease and predicting resectability. A laparoscopy-based scoring model was developed by Fagotti and colleagues in 2006 and updated in 2015, based on the intraoperative presence or absence of some specific cancer features. The model proved an overall accuracy rate of 77% to 100% and is considered the reference test for assessing resectability in our institution. OBJECTIVE: The primary aim of the study was to analyze the agreement between preoperative ultrasound examination and laparoscopic findings in assessing the extension of intraabdominal disease using 6 parameters described by Fagotti's score. STUDY DESIGN: This was a prospective single-center observational study. Between January 2019 and June 2020, consecutive patients with clinical or radiological suspicion of ovarian or peritoneal cancer were assessed with preoperative ultrasound examination and assigned a score based on the 6 Fagotti score parameters (great omentum, liver surface, lesser omentum/stomach/spleen, parietal peritoneum, diaphragms, bowel disease). Presence of mesenteral retraction of the small bowel and miliary carcinomatosis on the serosa were also evaluated. Each parameter was correlated with laparoscopic findings. Concordance was calculated between ultrasound and laparoscopic parameters using Cohen's kappa. RESULTS: Cohen's kappa ranged from 0.70 to 0.90 for carcinomatosis on the small or large bowel, supracolic omentum, liver surface, and diaphragms. Cohen's kappa test was lower for carcinomatosis on the parietal peritoneum (k=0.63) and on the lesser omentum or lesser curvature of the stomach or spleen (k=0.54). The agreement between ultrasound and surgical predictive index value (score) was k=0.74. For the evaluation of mesenteral retraction and miliary carcinomatosis, the agreement was low (k=0.57 and k=0.36, respectively). CONCLUSION: The results of ultrasound and laparoscopy in the assessment of intraabdominal tumor spread were in substantial agreement for almost all the parameters. Ultrasound examination can play a useful role in the preoperative management of patients with ovarian cancer when used in dedicated referral centers.

Transobturator tape versus single incision sling: how are they different? Clinical outcomes and ultrasonographic features of two mid-urethral slings.

PURPOSE: Stress urinary incontinence (SUI) is usually treated with mid-urethral slings. The best approach is still debated and the relationship between slings and pelvic structures is not completely understood. The aim of this study is to identify any difference between trans-obturator tape (TOT) and single incision sling (minisling). METHODS: Patients submitted to TOT or minisling were included in the study. Q-tip and stress test, ICIQ-SF questionnaire, PGI-I validated score, and 2D/3D transvaginal ultrasound parameters were collected at 1- and 6-month follow-up. Correlations between ultrasound parameters and clinical outcomes, PGI-I and ICIq-SF, were performed. RESULTS: 61 patients were included in the study. PGI-I score was significantly lower in the minisling group than in TOT group at 1-month (p = 0.016) and 6-month follow-up (p = 0.076). The median distance between the sling and the lumen of urethra was significantly higher and the angle between the branches of the sling was significantly narrower in the minisling group. There were significant differences in distances between the sling and the bladder neck at 1-month and 6-month follow-up. An inverse correlation between angle of the branches and the Q-tip test was observed (p = 0.059 Pearson's Rho - 0.578). PGI-I correlated also with angle of the branches (p = 0.009, Pearson's Rho 0.503). CONCLUSION: Patients undergoing TOT or minisling are similarly satisfied but show differences at ultrasound exam at 1- and 6-month follow-up. Pelvic floor ultrasound could be used in a short-term follow-up to visualize the sling position and to plan the most appropriate follow-up strategy.

Imaging modalities in fertility preservation in patients with gynecologic cancers.

Fertility preservation is an integral component of clinical decision-making and treatment design. However, the selection criteria on imaging for patients eligible for fertility preservation is still unclear. The present review aimed to summarize the main findings reported in both the literature and international guidelines on the role of imaging in the selection of patients for fertility preservation. A search strategy was developed and applied to PubMed, Scopus, Web of Science, and EMBASE to identify previous citations reporting imaging and fertility preservation in patients with gynecological cancer. We also retrieved the published guidelines on the eligibility criteria for fertility-sparing treatment of gynecological neoplasms. A description of the internal multidisciplinary guidelines, clinically in use in our institution, is provided with representative clinical cases. The literature review revealed 1291 articles and 18 of these were selected for the analysis. Both ultrasound and MRI represented the primary imaging methods for selecting patients for fertility preservation in cervical and endometrial cancers. Eligibility criteria of fertility-sparing management in patients with cervical cancer were: tumor size <2 cm, tumor distance from the internal os >1 cm, and no parametrium invasion. For patients with endometrial cancer, these included no myometrial and cervical stroma invasion. Both ultrasound and MRI play a key role in characterizing adnexal masses. These modalities provide a useful tool in identifying small ovarian lesions, thus key in the surveillance of patients after fertility sparing surgery. However, efficacy in excluding disease beyond the ovary remains limited. This review provides an update of the literature and schematic outline for the counseling and management of patients with the desire for fertility preservation.

Management of ovarian masses in pregnancy: patient selection for interventional treatment.

OBJECTIVE: The management of pregnant women with an adnexal tumor is still challenging and in the literature few data are available. The aim of this study was to describe the management and outcome of patients with ovarian masses detected during pregnancy. As secondary aims, we evaluated the prevalence of malignancy in the International Ovarian Tumor Analysis (IOTA) morphological classes of ovarian masses diagnosed during pregnancy, and created an algorithm for the management of patients with adnexal masses during pregnancy. METHODS: This was a retrospective single centered study including patients with adnexal masses detected at any trimester during pregnancy between January 2000 and December 2019. Clinical, ultrasound, surgical, and histological data were retrieved from medical records as well as information on management (ultrasound follow-up vs surgery). Indications for surgery were recorded in terms of suspicion of malignancy based on pattern recognition of the ultrasound examiner or on symptoms or prevention of complications, such as torsion, rupture, or obstacle to normal full-term pregnancy. All masses were described using IOTA terminology. RESULTS: A total of 113 patients were selected for the analysis. Of these, 48 (42%) patients had surveillance and 65 (58%) patients underwent surgery (11 primary ovarian tumors, one recurrence of ovarian cancer, four metastases to the ovary, 20 borderline tumors, and 29 benign lesions). Indications for surgery were suspicious malignancy in 41/65 (63.1%) cases and symptoms or prevention of complications in 24/65 (36.9%) cases. All patients in the surveillance group showed no morphological changes of the ovarian lesions at 6 months after delivery. According to the IOTA ultrasound morphological category, the prevalence of malignancy was 0% (0/37) in the unilocular cyst group, 27% (4/15) in the multilocular group, 35% (11/31) in the unilocular solid group, 70% (14/20) in the multilocular solid group, and 70% (7/10) in the solid group. Neither obstetric nor neonatal complications were reported for patients in the surveillance group or in those with benign, borderline, or primary epithelial invasive histology. In contrast, two neonatal deaths were observed in patients with ovarian choriocarcinoma and ovarian metastases. Three of the four patients with ovarian metastases died after pregnancy. CONCLUSIONS: IOTA ultrasound morphological classification seems useful in the characterization of ovarian masses during pregnancy. A clinical and morphological based algorithm for counseling patients has been designed.

Diagnostic performance of ultrasound in assessing the extension of the disease in patients with suspicion of malignant ovarian tumor: correlation between ultrasound parameters and Fagotti's score.

BACKGROUND: A radical surgical approach represents the mainstay treatment for gynecological malignancy, and preoperative staging of ovarian cancer is crucial. Ultrasound evaluation is widely recognized as the gold standard technique for the characterization of ovarian masses due to a high sensitivity for malignancy. In addition, its accuracy in defining intra-abdominal ovarian cancer spread has been previously proposed. PRIMARY OBJECTIVE: To analyze the agreement between preoperative ultrasound examination and laparoscopic findings in assessing the extension of intra-abdominal disease using six parameters as described by Fagotti's score. STUDY HYPOTHESIS: When performed by expert examiners, ultrasound can be an accurate technique to assess tumor spread in ovarian cancer and therefore to predict surgical resectability. TRIAL DESIGN: This is a single-center prospective observational study. Patients with clinical and/or radiological suspicion of advanced ovarian or peritoneal cancer will be assessed with preoperative ultrasound and assigned a score based on the six Fagotti's laparoscopic score parameters. Each parameter will then be correlated with laparoscopic findings. MAJOR INCLUSION/EXCLUSION CRITERIA: Eligible patients include women 18-75 years of age with clinical and/or imaging suggestive of advanced ovarian or peritoneal cancer, and an ECOG performance status 0-3. PRIMARY ENDPOINTS: Sensitivity and specificity of ultrasound in detecting carcinomatosis, using the parameters of Fagotti's score as a reference standard. Agreement between preoperative ultrasound examination and laparoscopic findings in assessing the extension of intra-abdominal disease as described in Fagotti's score. SAMPLE SIZE: 240 patients. ESTIMATE DATES FOR COMPLETING ACCRUAL AND PRESENTING RESULTS: The accrual started in January 2019. Enrollment should be completed approximately by October 2020 and the results will be analyzed by December 2020. TRIAL REGISTRATION: The study received the Ethical Committee approval on July 19 2018 (Protocol 28967/18 ID:2172).

Clinical and ultrasound characteristics of vaginal lesions.

OBJECTIVE: Ultrasound examination represents the most important diagnostic method to preoperatively assess gynecological diseases. However, the ultrasound characteristics of vaginal pathologies are poorly investigated. The aim of this study was to describe the clinical and ultrasound characteristics of vaginal lesions detected at ultrasound. METHODS: This was a single center, prospective, observational study including patients with vaginal masses examined from January 2017 to May 2019. Morphologic sonographic characteristics of the lesions were described as unilocular, multilocular, unilocular-solid, multilocular-solid, and solid. For the analysis, patients were grouped into a 'malignant group', including patients with confirmed malignancy at final histology, and a 'benign group', including patients with a confirmed benign pathology at final histology and patients without a histological diagnosis but with a lesion that manifested no changes during follow-up. RESULTS: 44 patients were enrolled. 22 (50%) of 44 lesions were benign: 12 (54.5%) of these underwent ultrasound follow-up and did not show any changes at the 12 month follow-up whereas 10 (45.5%) lesions had surgical excision which confirmed the benign nature. The remaining 22 (50%) of 44 lesions underwent surgery because of suspicion of malignancy: histology confirmed a malignancy in 20 (90.9%) of 22 cases. Benign lesions were described as follow: 11/24 (45.8%) unilocular, 3/24 (12.5%) multilocular with two locules, and 10/24 (41.7%) solid lesions. Malignant lesions were solid in 19/20 (95%) cases and multilocular-solid in 1/20 (5%). Most benign lesions had a color score of 1-2 (20/24, 83.4%) while malignant lesions had a color score of 3-4 (18/20, 90%). CONCLUSION: A typical ultrasound image of a benign lesion was a unilocular cyst or hypoechoic solid mass with no or minimal vascularization on color Doppler examination. Malignant vaginal lesions were hypoechoic solid tumors with irregular margins and moderate/rich vascularization or multilocular-solid. Ultrasound should be used to supplement the clinician in the management of vaginal lesions.

ESGO/ISUOG/IOTA/ESGE Consensus Statement on pre-operative diagnosis of ovarian tumors.

The European Society of Gynaecological Oncology (ESGO), the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG), the International Ovarian Tumour Analysis (IOTA) group, and the European Society for Gynaecological Endoscopy (ESGE) jointly developed clinically relevant and evidence-based statements on the pre-operative diagnosis of ovarian tumors, including imaging techniques, biomarkers, and prediction models. ESGO/ISUOG/IOTA/ESGE nominated a multidisciplinary international group, including expert practising clinicians and researchers who have demonstrated leadership and expertise in the pre-operative diagnosis of ovarian tumors and management of patients with ovarian cancer (19 experts across Europe). A patient representative was also included in the group. To ensure that the statements were evidence-based, the current literature was reviewed and critically appraised. Preliminary statements were drafted based on the review of the relevant literature. During a conference call, the whole group discussed each preliminary statement and a first round of voting was carried out. Statements were removed when a consensus among group members was not obtained. The voters had the opportunity to provide comments/suggestions with their votes. The statements were then revised accordingly. Another round of voting was carried out according to the same rules to allow the whole group to evaluate the revised version of the statements. The group achieved consensus on 18 statements. This Consensus Statement presents these ESGO/ISUOG/IOTA/ESGE statements on the pre-operative diagnosis of ovarian tumors and the assessment of carcinomatosis, together with a summary of the evidence supporting each statement.