In this paper we present a computer aided detection (CAD) system for automated measurement of the fetal head circumference (HC) in 2D ultrasound images for all trimesters of the pregnancy. The HC can be used to estimate the gestational age and monitor growth of the fetus. Automated HC assessment could be valuable in developing countries, where there is a severe shortage of trained sonographers. The CAD system consists of two steps: First, Haar-like features were computed from the ultrasound images to train a random forest classifier to locate the fetal skull. Secondly, the HC was extracted using Hough transform, dynamic programming and an ellipse fit. The CAD system was trained on 999 images and validated on an independent test set of 335 images from all trimesters. The test set was manually annotated by an experienced sonographer and a medical researcher. The reference gestational age (GA) was estimated using the crown-rump length measurement (CRL). The mean difference between the reference GA and the GA estimated by the experienced sonographer was 0.8 ± 2.6, −0.0 ± 4.6 and 1.9 ± 11.0 days for the first, second and third trimester, respectively. The mean difference between the reference GA and the GA estimated by the medical researcher was 1.6 ± 2.7, 2.0 ± 4.8 and 3.9 ± 13.7 days. The mean difference between the reference GA and the GA estimated by the CAD system was 0.6 ± 4.3, 0.4 ± 4.7 and 2.5 ± 12.4 days. The results show that the CAD system performs comparable to an experienced sonographer. The presented system shows similar or superior results compared to systems published in literature. This is the first automated system for HC assessment evaluated on a large test set which contained data of all trimesters of the pregnancy.
In the near future, it is likely that imaging will replace AFAFP assays for the detection of fetal NTDs because high quality ultrasound imaging will detect NTDs accurately.
Objective: The aim of this retrospective study was to assess the fetal biparietal diameter (BPD) and head circumference (HC) in the second trimester of pregnancy in fetuses with open spinal dysraphism. Methods: BPD and HC were measured at 16-26 weeks in 74 fetuses with open spinal dysraphism and compared with reference values. Results: BPD was smaller in fetuses with open spinal dysraphism. Of all cases with open spinal dysraphism, 62.2% had a BPD <3rd percentile and 79.7% had a BPD <10th percentile. Of all patients, 54.1% had an HC <3rd percentile and 74.3% had an HC <10th percentile. Conclusion: Almost all fetuses with open neural tube defects have a smaller BPD and HC at 16-26 weeks compared with reference values, which implicates that this is part of the phenotype of children with open spinal dysraphism instead of an independent prognostic marker for a poor cognitive outcome.
Antenatally diagnosed, large sacrococcygeal teratomas in very premature infants are associated with a very poor outcome. We present an extreme premature infant with cardiac decompensation, diagnosed at 27 weeks and 1 day of gestational age. A positive outcome could be achieved with intensive multidisciplinary planning of the delivery, postnatal stabilization and surgical resection, as demonstrated in this case report.
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