Placental pathologies on fetal MRI are associated with high impairment rates: a prospective long-term outcome study

Objective: Placental anomalies visualized at midgestation by MRI are shown to be related to pregnancy outcome. We performed a prospective cohort study to investigate the influence of placental pathologies diagnosed with fetal MRI on long-term neurodevelopmental outcome.

Methods: In our hospital-based, cross-sectional study, all fetal MRI examinations of pregnancies with vascular placental pathology (i.e. infarction with/without hemorrhage, subchorionic thrombi/hemorrhages, intervillous thrombi/hemorrhages or retroplacental hematoma) between 2003 and 2007 were included. The extent of the pathology was expressed as the percentage of abnormality related to the whole placental volume. Pathohistological reports were correlated to MRI findings. Infants were prospectively investigated using Bayley developmental scales at the age of 2–3.5 years. Impairment was categorized as a Bayley scale two SDs below normal (<85 points).

Results: There were 31 singletons and 25 offspring of multiple pregnancies included in the analyses. Impairment rates were 32.2% in singletons and 32.0% in multiple births. No correlation between neuro/motordevelopmental outcome at 2–3.5 years and the type, extent or gestational week at the time of diagnoses of placental vascular pathologies was found.

Conclusion: The long-term outcome of children with vascular placental pathologies on fetal MRI was associated with a high impairment rate after 2–3.5 years, both on motor- and neurodevelopmental Bayley scales. Neurological impairment did not correlate with the extent of placental involvement, intrauterine growth restriction, gestational age at birth or multiple state.     

Mask-Guided Convolutional Neural Network for Breast Tumor Prognostic Outcome Prediction on 3D DCE-MR Images

Journal of Digital Imaging - In this proof-of-concept work, we have developed a 3D-CNN architecture that is guided by the tumor mask for classifying several patient-outcomes in breast cancer from...     

Radixin expression in microglia after cortical stroke lesion

Stroke induces extensive tissue remodeling, resulting in the activation of several cell types in the brain as well as recruitment of blood‐borne leucocytes. Radixin is part of a cytoskeleton linker protein family with the ability to connect transmembrane proteins to the actin cytoskeleton, promoting cell functions involving a dynamic cytoskeleton such as morphological changes, cell division and migration which are common events of different cell types after stroke. In the healthy adult brain radixin is expressed in Olig2⁺ cells throughout the brain and in neural progenitor cells in the subventricular zone. In the current study, we detected a 2.5 fold increase in the number of radixin positive cells in the peri‐infarct cortex two weeks after the induction of cortical stroke by photothrombosis. Similarly, the number of Olig2⁺ cells increased in the peri‐infarct area after stroke; however, the number of radixin⁺/Olig2⁺ cells was unchanged. Neural progenitor cells maintained radixin expression on their route to the infarct. More surprising however, was the expression of radixin in activated microglia in the peri‐infarct cortex. Seventy percent of Iba1⁺ cells expressed radixin after stroke, a population which was not present in the control brain. Furthermore, activation of radixin was predominantly detected in the peri‐infarct region of oligodendrocyte progenitors and microglia. The specific location of radixin⁺ cells in the peri‐infarct region and in microglia suggests a role for radixin in microglial activation after stroke.     

Association of fetal and maternal carboxyhemoglobin levels in normal and Rh-alloimmune pregnancies

OBJECTIVE: To compare paired antepartum fetal/maternal COHb ratios in whole blood from control and alloimmunized pregnancies and to examine the relationships between fetal and maternal COHb. METHODS: COHb levels were measured in paired fetal and maternal blood samples obtained at cordocentesis in 47 control and 16 Rh-alloimmunized pregnancies. COHb was determined by gas chromatography. Results were analyzed by t-test, regression and analysis of covariance. RESULTS: Although fetal/maternal COHb ratios for control and alloimmunized pregnancies were not statistically significantly different, i.e. 1. 11+/-0.04 and 1.26+/-0.09, respectively (P=0.09), fetal COHb levels were higher in Rh-alloimmunized fetuses (P=0.0002). Fetal COHb levels were also higher than paired maternal levels among the alloimmunized group (P=0.011), but not among the control group (1. 04+/-0.04, P=ns). In univariate regression analysis, fetal and maternal COHb levels were significantly correlated with one another in both control (r=0.52, P=0.0002) and alloimmunized pregnancy groups (r=0.52, P=0.05). Comparison of the slopes of the fetal versus maternal COHb plots for the two groups showed a significant difference (P=0.02), with the alloimmunized group having the steeper slope. CONCLUSION: Differences in the antepartum fetal-maternal COHb relationships in control and alloimmunized groups likely reflect increased endogenous CO production among alloimmunized fetuses as a result of pathologic hemolysis.     

A data integration methodology for systems biology

Different experimental technologies measure different aspects of a system and to differing depth and breadth. High-throughput assays have inherently high false-positive and false-negative rates. Moreover, each technology includes systematic biases of a different nature. These differences make network reconstruction from multiple data sets difficult and error-prone. Additionally, because of the rapid rate of progress in biotechnology, there is usually no curated exemplar data set from which one might estimate data integration parameters. To address these concerns, we have developed data integration methods that can handle multiple data sets differing in statistical power, type, size, and network coverage without requiring a curated training data set. Our methodology is general in purpose and may be applied to integrate data from any existing and future technologies. Here we outline our methods and then demonstrate their performance by applying them to simulated data sets. The results show that these methods select true-positive data elements much more accurately than classical approaches. In an accompanying companion paper, we demonstrate the applicability of our approach to biological data. We have integrated our methodology into a free open source software package named POINTILLIST.     

6-methylapigenin and hesperidin: new valeriana flavonoids with activity on the CNS

Valerian is an ancient tranquillizing drug obtained from the underground organs of several Valeriana species. Its active principles were assumed to be terpenoids in the form of valepotriates and/or as components of the essential oil. However, unknown active compounds were not discarded and synergic effects were suspected.We have recently isolated 6-methylapigenin (MA) from Valeriana wallichii and proved that it is a benzodiazepine binding site (BDZ-bs) ligand [Planta Med. 68 (2002) 934].The present paper is the first report of the presence of 2S(-)-hesperidin in valeriana and describes that it has sedative and sleep-enhancing properties. MA, in turn, was found to have anxiolytic properties and was able to potentiate the sleep-enhancing properties of hesperidin (HN).MA and HN are new members of the growing family of natural flavonoids with activity on the CNS, and their properties suggest that they are promising drug leads in the field.