Evidence of brain injury in fetuses of mothers with preterm labor with intact membranes and preterm prelabor rupture of membranes.

BACKGROUND: Brain injury and poor neurodevelopment have consistently been reported in infants and adults born preterm. These changes occur at least in part prenatally and are associated with intra-amniotic inflammation. The pattern of brain changes has been partially documented by magnetic resonance imaging but not with neurosonography in combination with amniotic fluid brain injury biomarkers. OBJECTIVES: To evaluate the prenatal features of brain remodeling and injury in fetuses from patients with preterm labor with intact membranes or preterm prelabor rupture of membranes and to investigate the potential influence of intra-amniotic inflammation as a mediator of risk. STUDY DESIGN: In this prospective cohort study, fetal brain remodeling and injury was evaluated by neurosonography and amniocentesis in singleton pregnant patients with preterm labor with intact membranes or preterm prelabor rupture of membranes between 24.0-34.0 weeks, with (n=41) and without (n=54) intra-amniotic inflammation. Controls for neurosonography were outpatient pregnant patients without preterm labor or preterm prelabor rupture of membranes matched 2:1 by gestational age at ultrasound. Amniotic fluid controls were patients with an amniocentesis performed for indications other than preterm labor or preterm prelabor rupture of membranes without brain or genetic defects whose amniotic fluid was collected in our biobank for research purposes matched by gestational age at amniocentesis. The group with intra-amniotic inflammation included those with intra-amniotic infection (microbial invasion of the amniotic cavity and intra-amniotic inflammation) and those with sterile inflammation. Microbial invasion of the amniotic cavity was defined as a positive amniotic fluid culture and/or positive 16S ribosomal RNA gene. Inflammation was defined by amniotic fluid interleukin-6 >13.4 ng/ml in preterm labor and >1.43 ng/ml in preterm prelabor rupture of membranes. Neurosonography included the evaluation of brain structure biometric parameters and cortical development. As amniotic fluid brain injury biomarkers we selected neuron-specific enolase, protein S100B and glial fibrillary acidic protein. Data was adjusted for cephalic biometrics, fetal growth centile, fetal sex, non-cephalic presentation and preterm prelabor rupture of membranes at admission. RESULTS: Fetuses from mothers with preterm labor with intact membranes or preterm prelabor rupture of membranes had signs of brain remodeling and injury. First, they had a smaller cerebellum. Thus, in intra-amniotic inflammation, non- intra-amniotic inflammation and control groups, transcerebellar diameter (median (25th; 75th percentile)) was 32.7mm (29.8; 37.6), 35.3mm (31.2;39.6) and 35.0mm (31.3;38.3), respectively (p=0.019); vermian height was 16.9 mm (15.5 ;19.6), 17.2 mm (16.0;18.9) and 17.1mm (15.7;19.0), respectively (p=0.041). Second, they presented a lower corpus callosum area (0.72mm2 (0.59;0. 81), 0.71mm2 (0.63;0.82) and 0.78mm2 (0.71;0. 91), respectively (p=0.006). Third, they showed a delayed cortical maturation (Sylvian fissure depth / biparietal diameter ratio was 0.14 (0.12;0.16), 0.14 (0.13;0.16) and 0.16 (0.15;0.17), respectively (p<0.001), and right parieto-occipital sulci depth ratio was 0.09 (0.07;0.12), 0.11 (0.09;0.14) and 0.11 (0.09;0.14), respectively (p=0.012)). Finally, regarding amniotic fluid brain injury biomarkers, fetuses from mothers with preterm labor with intact membranes or preterm prelabor rupture of membranes, had higher concentrations of neuron-specific enolase (11804.6pg/ml (6213.4;21098.8), 8397.7 pg/ml (3682.1;17398.3) and 2393.7pg/ml (1717.1;3209.3), respectively (p<0.001)); protein S100B (2030.6 pg/ml (993;4883.5), 1070.3pg/ml (365.1-1463.2) and 74.8pg/ml (44.7;93.7), respectively (p<0.001)), and glial fibrillary acidic protein (1.01ng/ml (0.54;3.88), 0.965ng/ml (0.59;2.07) and 0.24mg/ml (0.20;0.28), respectively (p=0.002)). CONCLUSION: Fetuses with preterm labor with intact membranes or preterm prelabor rupture of membranes had prenatal signs of brain remodeling and injury at the time of clinical presentation. These changes were more pronounced in those with intra-amniotic inflammation.

Automatic Deep Learning-Based Pipeline for Automatic Delineation and Measurement of Fetal Brain Structures in Routine Mid-Trimester Ultrasound Images.

INTRODUCTION: The aim of this study was to develop a pipeline using state-of-the-art deep learning methods to automatically delineate and measure several of the most important brain structures in fetal brain ultrasound (US) images. METHODS: The dataset was composed of 5,331 images of the fetal brain acquired during the routine mid-trimester US scan. Our proposed pipeline automatically performs the following three steps: brain plane classification (transventricular, transthalamic, or transcerebellar plane); brain structures delineation (9 different structures); and automatic measurement (from the structure delineations). The methods were trained on a subset of 4,331 images and each step was evaluated on the remaining 1,000 images. RESULTS: Plane classification reached 98.6% average class accuracy. Brain structure delineation obtained an average pixel accuracy higher than 96% and a Jaccard index higher than 70%. Automatic measurements get an absolute error below 3.5% for the four standard head biometries (head circumference, biparietal diameter, occipitofrontal diameter, and cephalic index), 9% for transcerebellar diameter, 12% for cavum septi pellucidi ratio, and 26% for Sylvian fissure operculization degree. CONCLUSIONS: The proposed pipeline shows the potential of deep learning methods to delineate fetal head and brain structures and obtain automatic measures of each anatomical standard plane acquired during routine fetal US examination.

Altered cortical development in fetuses with isolated nonsevere ventriculomegaly assessed by neurosonography.

OBJECTIVES: To perform a comprehensive assessment of cortical development in fetuses with isolated nonsevere ventriculomegaly (INSVM) by neurosonography. METHODS: We prospectively included 40 fetuses with INSVM and 40 controls. INSVM was defined as atrial width between 10.0 and 14.9 mm without associated malformation, infection, or chromosomal abnormality. Cortical development was assessed by neurosonography at 26 and 30 weeks of gestation measuring depth of selected sulci and applying a maturation scale from 0 (no appearance) to 5 (maximally developed) of main sulci and areas. RESULTS: INSVM showed underdeveloped calcarine and parieto-occipital sulci. In addition, significant delayed maturation pattern was also observed in regions distant to ventricular system including Insula depth (controls 30.8 mm [SD 1.7] vs INSVM 31.7 mm [1.8]; P = .04), Sylvian fissure grading (>2 at 26 weeks: controls 87.5% vs INSVM 50%, P = .01), mesial area grading (>2 at 30 weeks: controls 95% vs INSVM 62.5%; P = .03), and cingulate sulcus grading (>2 at 30 weeks: controls 100% vs INSVM 80.5%; P = .01). CONCLUSIONS: Fetuses with INSVM showed underdeveloped cortical maturation including also regions, where effect of ventricular dilatation is unlikely. These results suggest that in a proportion of fetuses with INSVM, ventricular dilation might be related with altered cortical architecture.