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Active clinical trials for "Congenital Abnormalities"

Results 211-220 of 931

Application of Virtual Mandibular Position in Temporomandibular Jont Reconstruction With Costochondral...

Temporomandibular Joint AnkylosisFacial Asymmetry

Hypothesis:Computer-aided design virtual mandibular position is feasible for costochondral graft growing and occlusion stabilizing in the one-stage treatment of children temporomandibular joint ankylosis (TMJA) or condyle absence with jaw deformity. Methods: The inclusion criteria is children patients younger than 12 years old with unilateral TMJA or condyle absence. A virtual mandibular position is designed preoperatively according to the CT data of jaw and dentition. 3D printed templates and occlusal splints are used to guide the costochondral graft and mandibular position. During surgery, the affected ramus is reconstructed with costochondral grafting under the virtual mandibular position. After surgery, the occlusal splint is fixed to maxilla at least one month, and then, replaced by orthodontic functional appliance to promote downward growth of the maxilla. Occlusion, facial symmetry, costochondral graft growing would be evaluated and analysed until adulthood.

Recruiting5 enrollment criteria

Fetal Electrophysiologic Abnormalities in High-Risk Pregnancies Associated With Fetal Demise

High Risk PregnancyCongenital Heart Disease16 more

Each year world-wide, 2.5 million fetuses die unexpectedly in the last half of pregnancy, 25,000 in the United States, making fetal demise ten-times more common than Sudden Infant Death Syndrome. This study will apply a novel type of non-invasive monitoring, called fetal magnetocardiography (fMCG) used thus far to successfully evaluate fetal arrhythmias, in order to discover potential hidden electrophysiologic abnormalities that could lead to fetal demise in five high-risk pregnancy conditions associated with fetal demise.

Recruiting19 enrollment criteria

The China Neonatal Genomes Project

NewbornHereditary Disease3 more

The project will carry out the genetic testing of 100000 neonates in the next 5 years. The aim of the project is to construct the Chinese neonatal genome database, establish the genetic testing standard of neonatal genetic diseases, and promote the industrialization of neonatal genetic disease gene testing, improve the training system for genetic counseling.

Recruiting11 enrollment criteria

Evaluating and Establishing the Relationship in the Five Critical X-ray Time Points in Spinal Deformity...

SpineSpine Deformity

To establish the relationship in the five critical X-ray time points during multilevel posterior column osteotomies (MPCO) spinal deformity realignment in patients with adult spinal deformity and to follow the participants longitudinally to examine any follow-up X-rays and clinical data to compare to the post-operative standing scan and pre-operative data.

Recruiting6 enrollment criteria

Research of Factors Determining the Improvement of Quality of Life at One Year of Adult Patients...

Spinal Deformity

The objective of this study is to find the predictive factors of improvement of the quality of life of operated patients from spinal deformity.

Recruiting15 enrollment criteria

Quality of Life in Parents of Adolescents With Spinal Deformities: Development of a New Questionnaire....

Quality of LifeSpinal Deformity1 more

This study aims to develop a new instrument capable of providing an efficient measure of the quality of life of parents of conservatively treated patients with spinal deformity. The development of a questionnaire in a Rasch environment and specifically developed for parents of conservatively treated patients will ensure greater sensitivity and specificity of the questionnaire.

Recruiting6 enrollment criteria

Genetics of Central Nervous System Arteriovenous Malformations (GENE-MAV)

Arteriovenous Malformations

Cerebral and medullary arteriovenous malformations (AVMs) are morphologically abnormal vessels located on the surface or in the cerebral or medullary parenchyma. These vascular lesions cause the arterial and venous networks to communicate pathologically, creating an arteriovenous shunt.The prevalence of cerebral Cerebral and medullary AVMs in general population is difficult to establish given the rarity of the condition. However, it is estimated at around 1 per 10,000 inhabitants (0.01%). About 15-20% of the cerebral vascular accidents are asymptomatic at the time of diagnosis. The occurrence of intracranial haemorrhage is the most important prognostic factor because it is associated with a significant morbidity and mortality. The management of an AVM is usually carried out in a multidisciplinary way, combining interventional neuroradiology, neurosurgery and vascular neurology. The genetic, molecular and cellular mechanisms that cause vascular malformations of the central nervous system are partially known. Several recent research works highlight mutations in the RAS-MAPK or MAPK-ERK signalling pathway in AVMs. In cases of cerebral AVMs considered to be sporadic, a somatic KRAS/BRAF mutation has recently been demonstrated in tissue samples of operated AVMs. Except in the case of Hereditary Haemorrhagic Telangiectasia (HHT or Rendu-Osler-Weber syndrome), the influence of genetic damage on the prognosis of AVM is poorly known. It is also interesting to note that genetic screening is not routinely performed in patients with cerebro-medullary AVMs and that therefore the prevalence of these clinical entities in patients with AVMs is not known.

Recruiting2 enrollment criteria

Whole Genome Medical Sequencing for Genome Discovery

Intellectual DisabilitiesCongenital Anomaly1 more

Background: - A number of rare inherited diseases affect only a few patients, and the genetic causes of these conditions remain unknown. Researchers are studying the use of a new technology called whole genome sequencing to learn which gene or genes cause these conditions. Understanding the genes that cause these diseases is important to improve diagnosis and treatment of affected patients. Objectives: To identify the genetic cause of disorders that are difficult to identify with existing techniques. To develop best practices for the medical and counseling challenges of whole genome sequencing. Eligibility: Individuals who have one of the rare disorders under consideration in this study. These conditions are generally those in which the genetic cause of the disorder is unknown. The eligibility of most individual participants will be decided on a case-by-case basis by the researchers. Family members of affected individuals, if that family member (often a parent) may provide genetic information. Design: Participants in this study will have at least one and in some cases several of the following procedures: A medical genetics evaluation. Other tests that may include x-rays, magnetic resonance imaging (MRI) exams, and consultations with other doctors. Not all studies are necessary for each person, but the information from the tests may be required to proceed with some of our gene sequencing studies. Clinical photographs to document certain aspects of the disorder. Blood and skin biopsy samples, or other tissue samples, as required by the study doctors. Genetic testing, as decided by the researchers. However, most participants in this study can expect to undergo whole genome sequencing, which is a technique to study all of a person s genes. Some participants may be asked to take part in a telephone interview and/or a web-based survey. Participants will have choices about what kinds of results from whole genome sequencing they wish to learn. After the tests have been completed and the results of the genetic studies are known, participants will be offered a return visit to the National Institutes of Health to learn these results. During this visit, participants will be asked to complete surveys and participate in interviews related to their decisions to participate in the study and to learn individual genetic test results.

Recruiting16 enrollment criteria

Artificial Intelligence Algorithm for the Screening of Abnormal Fetal Brain Findings at First Trimester...

Fetal AnomalyBrain Malformation

Visualization of the posterior fossa brain spaces, their spatial relationship and measurements can be obtained in the midsagittal view of fetal head, the same used for NT measurement (9), and plays an important role in the early diagnosis of neural tube defects, such as open spinal dysraphism (5), and posterior fossa anomalies, such as DWM or BPC (7). However, assessment of the fetal posterior fossa in the first trimester is still challenging due to several limitations including involuntary movements of the fetus and small size of the brain structures, causing difficulties for examination and misdiagnosis. Moreover, it is also operator-dependent for the acquirement of high-quality ultrasound images, standard measurements, and precise diagnosis. The use of new technologies to improve the acquisition of images, to help automatically perform measurements, or aid in the diagnosis of fetal abnormalities, may be of great importance for the optimal assessment of the fetal brain, particularly in the first trimester (10). Artificial intelligence (AI) is described as the ability of a computer program to perform processes associated with human intelligence, such as learning, thinking and problem-solving. Deep Learning (DL), a subset of Machine Learning (ML), is a branch of AI, defined by the ability to learn features automatically from data without human intervention. In DL, the input and output are connected by multiple layers loosely modeled on the neural pathways of the human brain. In the image recognition field, one of the most promising type of DL networks is represented by convolutional neural networks (CNN). These are designed to extract highly representative image features in a fully automated way, which makes them applicable to diagnostic decision-making. According to these observations, we propose a research project aimed to develop an ultrasound-based AI-algorithm, which is capable to assess the fetal posterior fossa structures during the first trimester ultrasound scan and discriminate between normal and abnormal findings through a fully automatic data processing.

Recruiting4 enrollment criteria

Congenital Uterine Anomalies: Identifying Cancer Associations and Genetic and Environmental Factors...

Congenital Uterine Anomaly

The purpose of this research study is to learn more about the health outcomes associated with congenital uterine anomalies (CUAs), and the possible environmental and genetic causes of the condition. The researchers plan to investigate whether any cancer associations (with breast, renal, ovarian, vaginal and uterine cancers) exist in females with CUAs. The investigator will also investigate any environmental and genetic factors that may be responsible for causing CUAs.

Recruiting7 enrollment criteria
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