“…In fact, the detection rate for any fetal structural malformation in the first trimester only reaches a value in the range 0.7−4.7% [24]. Reports of CP in the first trimester are scarce [10,][11,26,27,28]. Syngelaki et al [25] demonstrated a 5% detection rate for facial cleft with non-chromosomal abnormalities at 11-13 weeks.…”
Section: Discussionmentioning
confidence: 99%
“…Martinez-ten et al [11] used the multiplanar mode display to visualize all cases of clefting of the primary palate and 86% of cases involving the secondary palate in 237 women undergoing first-trimester ultrasound screening for aneuploidy using 3D ultrasound. Ghi et al [29] diagnosed one case of bilateral CLP by 2D ultrasound combined with 3D surface imaging at 12 weeks, and proposed that 3D techniques can provide more information for diagnosis of CLP than 2D ultrasound.…”
Section: Discussionmentioning
confidence: 99%
“…The study focused on the primary palate, as visualization of the secondary palate is affected by the quality of 3D images and a CRL of <57 mm, which was expected to influence the results [11]. …”
Objective: To investigate the use of the retronasal triangle (RNT) for identification of orofacial cleft (OC) in the first trimester and the clinical application of three-dimensional (3D) ultrasound techniques for confirming the diagnosis of OC. Methods: A total of 5,054 women with singleton pregnancies underwent first-trimester screening for Down syndrome at 11-13+6 weeks. The RNT was scanned in each fetus, and 3D volumetric images of cases with abnormal or indeterminate RNT were obtained. Results: Satisfactory images were obtained from all cases. Seven cases (1.4‰) of abnormal RNT were diagnosed as OC in the first trimester, which were confirmed at a 16 weeks scan or at a postmortem examination. One case that was considered a normal RNT was diagnosed with OC at 22+2 weeks and after term delivery. Six cases of indeterminate RNT were diagnosed as normal by 3D ultrasound. Identification of OC by visualization of the RNT in the first trimester had a sensitivity of 87.5% and a specificity of 99.9%. Conclusion: The RNT is an important sonographic landmark that has a high sensitivity and specificity for the detection of OC in the first trimester. 3D ultrasound is an important tool that aids in confirming diagnosis of OC in the first and second trimesters.
“…In fact, the detection rate for any fetal structural malformation in the first trimester only reaches a value in the range 0.7−4.7% [24]. Reports of CP in the first trimester are scarce [10,][11,26,27,28]. Syngelaki et al [25] demonstrated a 5% detection rate for facial cleft with non-chromosomal abnormalities at 11-13 weeks.…”
Section: Discussionmentioning
confidence: 99%
“…Martinez-ten et al [11] used the multiplanar mode display to visualize all cases of clefting of the primary palate and 86% of cases involving the secondary palate in 237 women undergoing first-trimester ultrasound screening for aneuploidy using 3D ultrasound. Ghi et al [29] diagnosed one case of bilateral CLP by 2D ultrasound combined with 3D surface imaging at 12 weeks, and proposed that 3D techniques can provide more information for diagnosis of CLP than 2D ultrasound.…”
Section: Discussionmentioning
confidence: 99%
“…The study focused on the primary palate, as visualization of the secondary palate is affected by the quality of 3D images and a CRL of <57 mm, which was expected to influence the results [11]. …”
Objective: To investigate the use of the retronasal triangle (RNT) for identification of orofacial cleft (OC) in the first trimester and the clinical application of three-dimensional (3D) ultrasound techniques for confirming the diagnosis of OC. Methods: A total of 5,054 women with singleton pregnancies underwent first-trimester screening for Down syndrome at 11-13+6 weeks. The RNT was scanned in each fetus, and 3D volumetric images of cases with abnormal or indeterminate RNT were obtained. Results: Satisfactory images were obtained from all cases. Seven cases (1.4‰) of abnormal RNT were diagnosed as OC in the first trimester, which were confirmed at a 16 weeks scan or at a postmortem examination. One case that was considered a normal RNT was diagnosed with OC at 22+2 weeks and after term delivery. Six cases of indeterminate RNT were diagnosed as normal by 3D ultrasound. Identification of OC by visualization of the RNT in the first trimester had a sensitivity of 87.5% and a specificity of 99.9%. Conclusion: The RNT is an important sonographic landmark that has a high sensitivity and specificity for the detection of OC in the first trimester. 3D ultrasound is an important tool that aids in confirming diagnosis of OC in the first and second trimesters.
“…Mailáth-Pokorny et al (2010) investigated the role of foetal MRI in the antenatal diagnosis of facial clefts, including cleft lip, although no particular detection technique has been employed. Martinez-Ten et al (2012) investigated whether systematic examination of primary and secondary palate supported the detection of face cleftings during first trimester. Gindes et al (2013) studied the potential of three-dimensional US for palate view in foetuses at high risk for CLP.…”
The aim of this work is to automatically diagnose and formalize prenatal cleft lip with representative key points and identify the type of defect (unilateral, bilateral, right, or left) in three-dimensional ultrasonography (3D US). Geometry has been used as a framework for describing facial shapes and curvatures. Then, descriptors coming from this field are employed for identifying the typical key points of the defect and its dimensions. The descriptive accuracy of these descriptors has allowed us to automatically extract reference points, quantitative distances, labial profiles, and to provide information about facial asymmetry. Eighteen foetal faces, ten of healthy foetuses and eight with different types of cleft lips, have been obtained through a Voluson system and used for testing the algorithm. Cleft lip has been diagnosed and correctly characterized in all cases. Transverse and cranio-caudal length of the cleft have been computed and upper lip profile has been automatically extract to have a visual quantification of the overall labial defect. The asymmetry information obtained is consistent with the defect. This algorithm has been designed to support practitioners in identifying and classifying cleft lips. The gained results have shown that geometry might be a proper tool for describing faces and for diagnosis.
“…Facial landmarks were here cited as identifiers for various face parts (Sepulveda et al, 2012a). Finally, they determined whether systematic examination of primary and secondary palates aided in the identification of orofacial clefts in the first trimester (Martinez-Ten et al, 2012). They also reviewed techniques, advantages, limitations, and clinical applications of 3D ultrasound and fetal MRI (Sepulveda et al, 2012b) and pointed out that anatomical landmarks had a key role in assessing fetus's normal structure (Sepulveda et al, 2012c).…”
In the last decade, three-dimensional landmarking has gained attention for different applications, such as face recognition for both identification of suspects and authentication, facial expression recognition, corrective and aesthetic surgery, syndrome study and diagnosis. This work focuses on the last one by proposing a geometrically-based landmark extraction algorithm aimed at diagnosing syndromes on babies before their birth. Pivotal role in this activity is the support provided by physicians and 3D ultrasound tools for working on real faces. In particular, the landmarking algorithm here proposed only relies on descriptors coming from Differential Geometry (Gaussian, mean, and principal curvatures, derivatives, coefficients of first and second fundamental forms, Shape and Curvedness indexes) and is tested on nine facial point clouds referred to nine babies taken by a three-dimensional ultrasound tool at different weeks' gestation. The results obtained, validated with the support of four practitioners, show that the localization is quite accurate. All errors lie in the range between 0 and 3.5 mm and the mean distance for each shell is in the range between 0.6 and 1.6 mm. The landmarks showing the highest errors are the ones belonging to the mouth region. Instead, the most precise landmark is the pronasal, on the nose tip, with a mean distance of 0.55 mm. Relying on current literature, this study is something missing in the state-of-the-art of the field, as present facial studies on 3D ultrasound do not work on automatic landmarking yet.
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