Objective To assess systematically the performance of prenatal magnetic resonance imaging (MRI) in diagnosing the presence, degree and topography of disorders of invasive placentation and to explore the role of the different MRI signs in predicting these disorders. The diagnostic accuracy of ultrasound and MRI in the detection of invasive placentation was also compared. Methods MEDLINE, EMBASE, CINAHL and The Cochrane Library, including The Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects and The Cochrane Central Register of Controlled Trials, were searched electronically utilizing combinations of the relevant medical subject heading terms, keywords and word variants for ‘invasive placentation’ and ‘magnetic resonance imaging’. Only prospective studies reporting a diagnosis of invasive placentation at the time of MRI and retrospective studies in which the radiologist was blinded to the final results were included in the analysis. The MRI signs explored were: uterine bulging, heterogeneous signal intensity, dark intraplacental bands on T2 weighted sequences, focal interruption of the myometrium and tenting of the bladder. Summary estimates of sensitivity, specificity, positive and negative likelihood ratios (LR+, LR–) and diagnostic odds ratio (DOR) were based, depending on the number of studies, upon DerSimonian–Laird random‐effect or hierarchical summary receiver–operating characteristics models. Results A total of 18 studies involving 1010 pregnancies at risk for invasive placentation were included. The overall diagnostic accuracy of MRI in detecting the presence of invasive placentation was: sensitivity, 94.4% (95% CI, 86.0–97.9%); specificity, 84.0% (95% CI, 76.0–89.8%); LR+, 5.91 (95% CI, 3.73–9.39); LR–, 0.07 (95% CI, 0.02–0.18); DOR, 89.0 (95% CI, 22.8–348.1). MRI had a high predictive accuracy in assessing both the depth and topography of placental invasion. All five MRI signs showed good predictive accuracy in the diagnosis of disorders of invasive placentation. There was no difference in either the sensitivity (P = 0.24) or the specificity (P = 0.91) between ultrasound and MRI for the detection of invasive placentation. Conclusions Prenatal MRI is highly accurate in diagnosing disorders of invasive placentation. Ultrasound and MRI have comparable predictive accuracy. Large population‐based studies are needed in order to assess whether ultrasound can predict the depth and topography of placental invasion as reliably as can MRI. Copyright © 2014 ISUOG. Published by John Wiley & Sons Ltd.

Polycystic ovary syndrome (PCOS) recently has been identified as a risk factor associated with type 2 diabetes. However, the evidence derives from cross-sectional observational studies, retrospective studies, or short-term prospective studies. This long-term prospective study of a large cohort of women with PCOS, followed from youth to middle age, aimed at estimating, for the first time, the incidence and potential predictors of type 2 diabetes in this population. A total of 255 women with PCOS were followed for at least 10 years (mean follow-up 16.9 years). Six women were patients with diabetes at baseline, and another 42 women developed type 2 diabetes during the follow-up. The incidence rate of type 2 diabetes in the study population was 1.05 per 100 person-years. The age-standardized prevalence of diabetes at the end of follow-up was 39.3%, which is significantly higher with respect to that of the general Italian female population of a similar age (5.8%). The likelihood of developing type 2 diabetes significantly increased as BMI, fasting glucose, and glucose area under the curve at baseline increased and significantly decreased as sex hormone–binding globulin (SHBG) levels at follow-up increased. This study demonstrates that the risk of type 2 diabetes is markedly elevated in middle-aged women with PCOS and suggests including BMI, glucose, and SHBG-circulating levels in the risk stratification.

Background: Our study aimed to estimate the prevalence of pregnancy e-health seekers in a large Italian sample; to explore the factors influencing the choices of the childbearing women regarding their lifestyles after internet consultation; and finally to investigate potential differences between primiparous and multiparous women in internet use to find information about pregnancy. Methods: A multicentre survey was carried out in seven Italian cities. Data were collected through a validated questionnaire administered in waiting rooms of outpatient departments by medical doctors. Respondents were questioned about their sociodemographic status, their use of the internet to seek pregnancy information and their consequent choices to modify their lifestyles. Data were analysed using descriptive statistics and logistic regression. Results: Almost all women were pregnancy e-health seekers (95%), including those who also received information from healthcare professionals. Indeed, the main reason for searching the web was the need of further knowledge on pregnancy-related topic, over and beyond other key advantages of the net such as anonymity, simplicity and rapidity. A higher likelihood of changing lifestyle after pregnancy e-health was observed among the women who searched institutional websites; declared more confidence in the information retrieved; participated into pregnancy-centred forum online; and were residents in Italy. Conclusions: To reduce the likelihood for women of both finding erroneous information or misinterpreting correct ones, healthcare professionals should commit to fill the information gap and guide pregnant women in the online searches. Also, future studies are strongly needed to analyse the quality and accuracy of health information found on the web.