Publications by authors named "Christine Tita Kaihura"

We herein report the first ultrasound evidence of the self-amputation of an extra digit in case of fetal polydactyly. The prenatal evidence of fetal polydactyly is not always followed by postnatal confirmation. This is not always due to ultrasound misdiagnosis, but often to an in utero self-amputation phenomenon.

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Background: Cardiac disproportion is considered as an indirect sign of coarctation of the aorta (CoA). In this review, we have reassessed the positive predictive value (PPV) of such finding for a postnatal confirmation of CoA.

Data Sources: All cases of isolated cardiac disproportion diagnosed in the four-chamber and/or three-vessel/three-vessel and trachea views (right/left sections >1.

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Background: The antenatal detection of facial dysmorphism using 3-dimensional ultrasound may raise the suspicion of an underlying genetic condition but infrequently leads to a definitive antenatal diagnosis. Despite advances in array and noninvasive prenatal testing, not all genetic conditions can be ascertained from such testing.

Objectives: The aim of this study was to investigate the feasibility of quantitative assessment of fetal face features using prenatal 3-dimensional ultrasound volumes and statistical shape modeling.

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Objectives: Outlet ventricular septal defects (VSDs) are usually suspected on the five-chamber view of the fetal heart; however, postnatal confirmation occurs only in a small number of cases. The aim of this study was to evaluate if the systematic assessment of the short axis view may improve the prediction of prenatally detected outlet VSDs.

Methods: Cases where isolated outlet VSD was suspected on the five-chamber view were assessed by using the short axis scanning plane for confirmation of the defect.

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Study Objective: To evaluate the capacity of chemical dissection of tissues using a mucolytic substance, Mesna, in improving laparoscopic excision of endometriotic cysts.

Design: Randomized, double-blind, controlled trial (Canadian Task Force classification I).

Setting: University-affiliated training hospital.

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