Two-Step Strategy for Optimizing the Preoperative Classification of Adnexal Masses in a University Hospital, Using International Ovarian Tumor Analysis Models: Simple Rules and Assessment of Different NEoplasias in the adneXa Model.

OBJECTIVES: To evaluate the performance of a two-step strategy compared with the International Ovarian Tumor Analysis (IOTA) - Assessment of Different NEoplasias in the adneXa (ADNEX) model for preoperative classification of adnexal masses. METHODS: An ambispective diagnostic accuracy study based on ultrasound data collected at one university hospital between 2012 and 2018. Two ultrasonographers classified the adnexal masses using IOTA Simple Rules (first step). Not classifiable masses were evaluated using the IOTA ADNEX model (second step). Also, all masses were classified using the IOTA ADNEX model. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV), positive likelihood ratio (LR+) and negative likelihood ratio (LR-), and receiver operating characteristic (ROC) curve were estimated. A P value of <.05 was used to determine statistical significance. RESULTS: The study included 548 patients and 606 masses. Patients' median age was 41 years with an interquartile range between 32 and 51 years. In the first step, 89 (14%) masses were not classifiable. In the second step, 55 (61.8%) masses were classified as malignant. Furthermore, for the totality of 606 masses, the IOTA ADNEX model estimated the probability that 126 (20.8%) masses were malignant. The two-step strategy had a sensitivity, specificity, PPV, NPV, LR+, LR-, and ROC curve of 86.8%, 91.01%, 51.9%, 98.4%, 9.7, 0.1, and 0.889, respectively; compared to IOTA ADNEX model that had values of 91.8%, 87.16%, 44.4%, 99%, 7.1, 0.09, and 0.895, respectively. CONCLUSION: The two-step strategy shows a similar diagnostic performance when compared to the IOTA ADNEX model. The IOTA ADNEX model involves only one step and can be more practical, and thus would be recommended to use.

First-Trimester Diagnosis of Agnathia-Otocephaly Complex: A Series of 4 Cases and Review of the Literature.

First-trimester ultrasound findings in 4 fetuses with agnathia-otocephaly complex are described. In addition, information from 3 cases reported in the literature was also reviewed, for a total of 7 cases analyzed. All 7 fetuses presented with agnathia and 6 with ventrocaudal displacement of the ears (melotia/synotia). Four fetuses had holoprosencephaly. In 6 cases, the parents opted for termination of pregnancy. The remaining case resulted in premature delivery at 26 weeks due to severe polyhydramnios and early neonatal death. This report highlights the important role of ultrasound in the identification of agnathia-otocephaly complex in the first trimester of pregnancy.

First-trimester uterine artery Doppler velocimetry in the prediction of birth weight in a low-risk population.

OBJECTIVE: To study the relationship between first-trimester uterine artery (UtA) Doppler velocimetry and birth weight in an unselected, low-risk obstetric population. METHODS: This is a prospective study of 415 low-risk pregnant women who underwent a first-trimester ultrasound evaluation between 11 and 13 weeks of gestation. Blood flow velocimetry waveforms from both UtAs were obtained and the pulsatility index (PI) measured and recorded. Clinical records were reviewed for pregnancy outcomes. Birth weight was expressed as z-scores, and the Spearman correlation coefficient (ρ) was used to calculate the relationship between the mean, delta, and lowest UtA PI values and birth weight. RESULTS: There was no correlation between the mean and delta UtA PI values and birth weight. However, a significant correlation between the lowest UtA PI value and birth weight (ρ = -0.121; p = 0.013) was noted. CONCLUSIONS: Our study found a clinically significant correlation between the lowest UtA PI value and birth weight in an unselected, low-risk pregnant population. Because fetal growth is a multifactorial process in which placentation is only one of the factors involved, the use of a single parameter such as Doppler velocimetry remote from the delivery to predict birth weight in a low-risk population seems to be less useful than in the high-risk population.