This prospective cohort study aimed to analyze the accuracy of magnetic resonance imaging (MRI) and hysteroscopic excisional biopsy (HEB) for predicting the low- and high-risk patients with endometrial carcinoma for nodal involvement at preoperative evaluation. From January 2005 to December 2006, all patients with a diagnosis of endometrial carcinoma were prospectively included in the study and underwent pelvic MRI and HEB. The pelvic MRI (without contrast) was aimed to evaluate the extent of myometrial invasion (MI < 50%, MI ≥ 50%), the possible involvement of cervical stroma, the ovarian, and lymph nodes status. HEB was performed under general anesthesia, retrieving multiple biopsies through a 5-mm, monopolar, loop electrode. According to our data analysis, the integration of MRI and HEB showed an elevated accuracy and high rates of sensitivity (85.0%), specificity (88.5%), negative predictive value (91.9%) and positive predictive value (79.0%) in identifying low-risk patients who do not need comprehensive surgical staging.

This work provides new quantile-based reference charts for corpus callosum length measurements that may be useful for diagnosis of congenital corpus callosum anomalies in fetal life.

A dedicated neurosonographer could diagnose the iCACC with the same accuracy as MRI and in up to 90% of cases the newborn will have a regular development.

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ObjectiveTo establish reference charts for fetal cerebellar vermis height in an unselected population.MethodsA prospective cross-sectional study between September 2009 and December 2014 was carried out at ALTAMEDICA Fetal–Maternal Medical Centre, Rome, Italy. Of 25203 fetal biometric measurements, 12167 (48%) measurements of the cerebellar vermis were available. After excluding 1562 (12.8%) measurements, a total of 10605 (87.2%) fetuses were considered and analyzed once only. Parametric and nonparametric quantile regression models were used for the statistical analysis. In order to evaluate the robustness of the proposed reference charts regarding various distributional assumptions on the ultrasound measurements at hand, we compared the gestational age-specific reference curves we produced through the statistical methods used. Normal mean height based on parametric and nonparametric methods were defined for each week of gestation and the regression equation expressing the height of the cerebellar vermis as a function of gestational age was calculated. Finally the correlation between dimension/gestation was measured.ResultsThe mean height of the cerebellar vermis was 12.7mm (SD, 1.6mm; 95% confidence interval, 12.7–12.8mm). The regression equation expressing the height of the CV as a function of the gestational age was: height (mm) = -4.85+0.78 x gestational age. The correlation between dimension/gestation was expressed by the coefficient r = 0.87.ConclusionThis is the first prospective cross-sectional study on fetal cerebellar vermis biometry with such a large sample size reported in literature. It is a detailed statistical survey and contains new centile-based reference charts for fetal height of cerebellar vermis measurements.