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Yamazaki Y, Isohata H, Goto H, Yoshimura Y, Hattori K, Shimaoka T, Sekiguchi K, Onishi Y, Ochiai D. Three-dimensional sonographic images of fetal hirsutism: prenatal characteristic features in cornelia de lange syndrome. J Med Ultrason (2001) 2024; 51:363-364. [PMID: 38416265 DOI: 10.1007/s10396-024-01410-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Accepted: 01/20/2024] [Indexed: 02/29/2024]
Affiliation(s)
- Yu Yamazaki
- Department of Obstetrics and Gynecology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, 252-0329, Japan
| | - Hitoshi Isohata
- Department of Obstetrics and Gynecology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, 252-0329, Japan
| | - Hiroyuki Goto
- Department of Obstetrics and Gynecology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, 252-0329, Japan
| | - Yoshihiro Yoshimura
- Department of Obstetrics and Gynecology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, 252-0329, Japan
| | - Kyoko Hattori
- Department of Obstetrics and Gynecology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, 252-0329, Japan
| | - Takao Shimaoka
- Department of Obstetrics and Gynecology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, 252-0329, Japan
| | - Kazuki Sekiguchi
- Department of Obstetrics and Gynecology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, 252-0329, Japan
| | - Yoko Onishi
- Department of Obstetrics and Gynecology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, 252-0329, Japan
| | - Daigo Ochiai
- Department of Obstetrics and Gynecology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi, Kanagawa, 252-0329, Japan.
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Sivera R, Clark AE, Dall'Asta A, Ghi T, Schievano S, Lees CC. Fetal face shape analysis from prenatal 3D ultrasound images. Sci Rep 2024; 14:4411. [PMID: 38388522 PMCID: PMC10884000 DOI: 10.1038/s41598-023-50386-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 12/19/2023] [Indexed: 02/24/2024] Open
Abstract
3D ultrasound imaging of fetal faces has been predominantly confined to qualitative assessment. Many genetic conditions evade diagnosis and identification could assist with parental counselling, pregnancy management and neonatal care planning. We describe a methodology to build a shape model of the third trimester fetal face from 3D ultrasound and show how it can objectively describe morphological features and gestational-age related changes of normal fetal faces. 135 fetal face 3D ultrasound volumes (117 appropriately grown, 18 growth-restricted) of 24-34 weeks gestation were included. A 3D surface model of each face was obtained using a semi-automatic segmentation workflow. Size normalisation and rescaling was performed using a growth model giving the average size at every gestation. The model demonstrated a similar growth rate to standard head circumference reference charts. A landmark-free morphometry model was estimated to characterize shape differences using non-linear deformations of an idealized template face. Advancing gestation is associated with widening/fullness of the cheeks, contraction of the chin and deepening of the eyes. Fetal growth restriction is associated with a smaller average facial size but no morphological differences. This model may eventually be used as a reference to assist in the prenatal diagnosis of congenital anomalies with characteristic facial dysmorphisms.
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Affiliation(s)
- Raphael Sivera
- Institute of Cardiovascular Science, University College London, London, UK
| | - Anna E Clark
- Institute of Reproductive and Development Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Andrea Dall'Asta
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Tullio Ghi
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Silvia Schievano
- Institute of Cardiovascular Science, University College London, London, UK
| | - Christoph C Lees
- Institute of Reproductive and Development Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
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3
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Yu QX, Jing XY, Lin XM, Zhen L, Li DZ. Fetal phenotype of Cornelia de Lange syndrome with a molecular confirmation. Eur J Obstet Gynecol Reprod Biol 2023; 284:16-19. [PMID: 36913886 DOI: 10.1016/j.ejogrb.2023.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023]
Abstract
OBJECTIVE To present the fetal features of Cornelia de Lange Syndrome (CdLS) with a molecular confirmation. STUDY DESIGN This was a retrospective study of 13 cases with CdLS diagnosed by prenatal and postnatal genetic testing and physical examination. Clinical and laboratory data were collected and reviewed for these cases, including maternal demographics, prenatal sonographic findings, chromosomal microarray and exome sequencing (ES) results, and pregnancy outcomes. RESULTS All of the 13 cases were detected to have a CdLS-causing variant, with 8 variants identified in the NIPBL gene, 3 in SMC1A, and 2 in HDAC8. Five had normal ultrasound scans during pregnancy; all were caused by variants of SMC1A or HDAC8. For the eight cases with NIPBL variants, all had prenatal ultrasound markers. Three had first trimester ultrasound markers including increased nuchal translucency in one and limb defects in three. Four presented with normal ultrasound in the first trimester, but abnormal ultrasound in the second trimester, including micrognathia in two, hypospadias in one and intrauterine growth retardation (IUGR) in one. IUGR as the isolated feature was identified in one case in the third trimester. CONCLUSION The prenatal diagnosis of CdLS caused by NIPBLvariants is possible. It seems to remain challenging to detect non-classic CdLS only relying on ultrasound examination.
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Affiliation(s)
- Qiu-Xia Yu
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center Affiliated to Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xiang-Yi Jing
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center Affiliated to Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xiao-Mei Lin
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center Affiliated to Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Li Zhen
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center Affiliated to Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Dong-Zhi Li
- Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center Affiliated to Guangzhou Medical University, Guangzhou, Guangdong, China.
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4
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Clinical spectrum of female genital malformations in prenatal diagnosis. Arch Gynecol Obstet 2022; 306:1847-1862. [DOI: 10.1007/s00404-022-06441-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 02/09/2022] [Indexed: 11/02/2022]
Abstract
Abstract
Introduction
Fetal genital malformations represent a rare and heterogeneous group of congenital malformations of the disorders of sexual development (DSD) spectrum.
Methods
A thorough literature review on the main topics in the prenatal approach towards DSD was conducted.
Results
First, a thorough overview on prenatal characteristics of the most common fetal genital malformations of ovaries, uterus and external genitalia, and second, a standardized approach for differential diagnosis in the presence of direct and indirect prenatal signs of DSDs.
Conclusions
This review is mainly directed towards the aspects of female genital malformations with aspects of male DSD explained as well to aid in the prenatal differential diagnosis.
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Bronshtein M, Hac NT, Gover A, Khatib N. Transient fetal hypertrichosis - Three cases. Eur J Obstet Gynecol Reprod Biol 2021; 269:1-2. [PMID: 34942554 DOI: 10.1016/j.ejogrb.2021.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 12/08/2021] [Indexed: 11/16/2022]
Abstract
We Summarize a three cases of transient fetal hypertrichosis in low risk preganant women. Hypertrichosis has been previously associated with over 140 different syndromes (OMIM); however this finding is rarely described in prenatal ultrasound. In this study we describe the finding of hypertrichosis which resolved later in gestation. CASE N1: A prominent unibrow (synophrys) and elongated eyelashes were noted at 24 weeks of gestation with no other abnormal features. CASE N 2: A prenatal ultrasound scan was performed at 24 weeks and revealed: horseshoe kidney and localized hypertrichosis on the lower back. CASE N 3: Ultrasound exam at 24 weeks of gestation demonstrated localized hypertrichosis on the chin. CONCLUSION: Transient localized hypertrichosis with no other major findings has a favorable prenatal outcome.
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Affiliation(s)
- M Bronshtein
- Department of Obstetrics and Gynecology, Rambam Health Care Campus, Haifa, Israel; Faculty of Social Welfare & Health Sciences, University of Haifa, Haifa, Israel
| | - Nguyen To Hac
- Tu du Maternity Hospital Ho chi min Ho Chi Minh City, Vietnam
| | - A Gover
- Neonatal Intensive Care Unit, Carmel Medical Center, Haifa, Israel; Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - N Khatib
- Department of Obstetrics and Gynecology, Rambam Health Care Campus, Haifa, Israel; Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
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Panaitescu AM, Duta S, Gica N, Botezatu R, Nedelea F, Peltecu G, Veduta A. A Broader Perspective on the Prenatal Diagnosis of Cornelia de Lange Syndrome: Review of the Literature and Case Presentation. Diagnostics (Basel) 2021; 11:142. [PMID: 33478103 PMCID: PMC7835910 DOI: 10.3390/diagnostics11010142] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 01/15/2021] [Accepted: 01/16/2021] [Indexed: 12/20/2022] Open
Abstract
Cornelia de Lange syndrome (CDLS) is caused by pathogenic variants in genes which are structural or regulatory components of the cohesin complex. The classical Cornelia de Lange (CDLS) phenotype is characterized by distinctive facial features, growth retardation, upper limb reduction defects, hirsutism, and developmental delay. Non-classical phenotypes make this condition heterogeneous. Although CDLS is a heterogeneous clinical and genetic condition, clear diagnostic criteria have been described by specialist consensus. Many of these criteria refer to features that can be seen on prenatal ultrasound. The aim of this paper is twofold: to present the ultrasound findings in fetuses affected by CDLS syndrome; to discuss the recent advances and the limitations in the ultrasound and genetic prenatal diagnosis of CDLS. Our review aims to offer, apart from the data needed to understand the genetics and the prenatal presentation of the disease, a joint perspective of the two specialists involved in the prenatal management of this pathology: the fetal medicine specialist and the geneticist. To better illustrate the data presented, we also include a representative clinical case.
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Affiliation(s)
- Anca Maria Panaitescu
- Department of Obstetrics and Gynecology, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania; (N.G.); (R.B.); (F.N.); (G.P.)
- Filantropia Clinical Hospital, 011171 Bucharest, Romania; (S.D.); (A.V.)
| | - Simona Duta
- Filantropia Clinical Hospital, 011171 Bucharest, Romania; (S.D.); (A.V.)
| | - Nicolae Gica
- Department of Obstetrics and Gynecology, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania; (N.G.); (R.B.); (F.N.); (G.P.)
- Filantropia Clinical Hospital, 011171 Bucharest, Romania; (S.D.); (A.V.)
| | - Radu Botezatu
- Department of Obstetrics and Gynecology, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania; (N.G.); (R.B.); (F.N.); (G.P.)
- Filantropia Clinical Hospital, 011171 Bucharest, Romania; (S.D.); (A.V.)
| | - Florina Nedelea
- Department of Obstetrics and Gynecology, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania; (N.G.); (R.B.); (F.N.); (G.P.)
- Department of Genetics, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Gheorghe Peltecu
- Department of Obstetrics and Gynecology, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania; (N.G.); (R.B.); (F.N.); (G.P.)
- Filantropia Clinical Hospital, 011171 Bucharest, Romania; (S.D.); (A.V.)
| | - Alina Veduta
- Filantropia Clinical Hospital, 011171 Bucharest, Romania; (S.D.); (A.V.)
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Clark AE, Biffi B, Sivera R, Dall'Asta A, Fessey L, Wong TL, Paramasivam G, Dunaway D, Schievano S, Lees CC. Developing and testing an algorithm for automatic segmentation of the fetal face from three-dimensional ultrasound images. ROYAL SOCIETY OPEN SCIENCE 2020; 7:201342. [PMID: 33391808 PMCID: PMC7735327 DOI: 10.1098/rsos.201342] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 10/06/2020] [Indexed: 06/12/2023]
Abstract
Fetal craniofacial abnormalities are challenging to detect and diagnose on prenatal ultrasound (US). Image segmentation and computer analysis of three-dimensional US volumes of the fetal face may provide an objective measure to quantify fetal facial features and identify abnormalities. We have developed and tested an atlas-based partially automated facial segmentation algorithm; however, the volumes require additional manual segmentation (MS), which is time and labour intensive and may preclude this method from clinical adoption. These manually refined segmentations can then be used as a reference (atlas) by the partially automated segmentation algorithm to improve algorithmic performance with the aim of eliminating the need for manual refinement and developing a fully automated system. This study assesses the inter- and intra-operator variability of MS and tests an optimized version of our automatic segmentation (AS) algorithm. The manual refinements of 15 fetal faces performed by three operators and repeated by one operator were assessed by Dice score, average symmetrical surface distance and volume difference. The performance of the partially automatic algorithm with difference size atlases was evaluated by Dice score and computational time. Assessment of the manual refinements showed low inter- and intra-operator variability demonstrating its suitability for optimizing the AS algorithm. The algorithm showed improved performance following an increase in the atlas size in turn reducing the need for manual refinement.
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Affiliation(s)
- A. E. Clark
- Queen Charlotte's and Chelsea Hospital, Imperial Healthcare NHS Trust, London, UK
- Imperial College London, London, UK
| | - B. Biffi
- Imperial College London, London, UK
| | | | - A. Dall'Asta
- Queen Charlotte's and Chelsea Hospital, Imperial Healthcare NHS Trust, London, UK
- Imperial College London, London, UK
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, University of Parma, Italy
| | | | - T.-L. Wong
- Queen Charlotte's and Chelsea Hospital, Imperial Healthcare NHS Trust, London, UK
| | - G. Paramasivam
- Queen Charlotte's and Chelsea Hospital, Imperial Healthcare NHS Trust, London, UK
- Imperial College London, London, UK
| | - D. Dunaway
- University College London GOS Institute of Child Health, London, UK
- Great Ormond Street Hospital for Children, London, UK
| | - S. Schievano
- University College London GOS Institute of Child Health, London, UK
- Great Ormond Street Hospital for Children, London, UK
| | - C. C. Lees
- Queen Charlotte's and Chelsea Hospital, Imperial Healthcare NHS Trust, London, UK
- Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
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8
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Hague J, Twiss P, Mead Z, Park SM. Clinical Diagnosis of Classical Cornelia de Lange Syndrome Made From Postmortem Examination of Second Trimester Fetus With Novel NIPBL Pathogenic Variant. Pediatr Dev Pathol 2019; 22:475-479. [PMID: 30890023 DOI: 10.1177/1093526619834429] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Classical Cornelia de Lange syndrome (CdLS) is a rare genetic disorder which is associated with distinctive facial features, growth retardation, significant intellectual disability and global developmental delay, hirsutism, and upper-limb reduction defects. Classical CdLS is associated with pathogenic variants in NIPBL. We present a clinical diagnosis of classical CdLS made in a second trimester male fetus with advanced maceration who had undergone intrauterine death at 15 + 6 weeks gestation. The diagnosis was suspected after multiple congenital anomalies were identified on fetal postmortem examination. These included intrauterine growth retardation, upper limb anomalies, ventricular septal defect and diaphragmatic hernia, and skeletal and genitourinary abnormalities. Related prenatal screening findings included a raised nuchal translucency and low maternal serum pregnancy-associated plasma protein-A. Targeted molecular sequencing of genes associated with CdLS identified a novel de novo frameshift pathogenic variant in NIPBL, which confirmed the diagnosis. This report describes our case and reviews the current literature on prenatal diagnosis of CdLS. In summary, we demonstrate that clinical diagnosis of CdLS in a second trimester fetus, through postmortem examination findings, is possible, with confirmation through molecular testing.
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Affiliation(s)
- Jennifer Hague
- Department of Clinical Genetics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Philip Twiss
- Department of Clinical Genetics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Zoe Mead
- Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Soo-Mi Park
- Department of Clinical Genetics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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9
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Dall'Asta A, Paramasivam G, Basheer SN, Whitby E, Tahir Z, Lees C. How to obtain diagnostic planes of the fetal central nervous system using three-dimensional ultrasound and a context-preserving rendering technology. Am J Obstet Gynecol 2019; 220:215-229. [PMID: 30447211 DOI: 10.1016/j.ajog.2018.11.1088] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 11/05/2018] [Accepted: 11/08/2018] [Indexed: 12/26/2022]
Abstract
The antenatal evaluation of the fetal central nervous system (CNS) is among the most difficult tasks of prenatal ultrasound (US), requiring technical skills in relation to ultrasound and image acquisition as well as knowledge of CNS anatomy and how this changes with gestation. According to the International Guidelines for fetal neurosonology, the basic assessment of fetal CNS is most frequently performed on the axial planes, whereas the coronal and sagittal planes are required for the multiplanar evaluation of the CNS within the context of fetal neurosonology. It can be even more technically challenging to obtain "nonaxial" views with 2-dimensional (2D) US. The modality of 3-dimensional (3D) US has been suggested as a panacea to overcome the technical difficulties of achieving nonaxial views. The lack of familiarity of most sonologists with the use of 3D US and its related processing techniques may preclude its use even where it could play an important role in complementing antenatal 2D US assessment. Furthermore, once a 3D volume has been acquired, proprietary software allows it to be processed in different ways, leading to multiple ways of displaying and analyzing the same anatomical imaging or plane. These are difficult to learn and time consuming in the absence of specific training. In this article, we describe the key steps for volume acquisition of a 3D US volume, manipulation, and processing with reference to images of the fetal CNS, using a newly developed context-preserving rendering technique.
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Affiliation(s)
- Andrea Dall'Asta
- Centre for Fetal Care, Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare NHS Trust, London, UK; Department of Surgery and Cancer, Imperial College London, UK; Department of Medicine and Surgery, Obstetrics and Gynecology Unit, University of Parma, Italy
| | - Gowrishankar Paramasivam
- Centre for Fetal Care, Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Sheikh Nigel Basheer
- Centre for Fetal Care, Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare NHS Trust, London, UK; Department of Paediatrics and Neonatal Medicine, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Elspeth Whitby
- University of Sheffield and Sheffield Teaching Hospitals Foundation Trust, Jessop Wing, Sheffield, UK
| | - Zubair Tahir
- Department of Neurosurgery, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Christoph Lees
- Centre for Fetal Care, Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare NHS Trust, London, UK; Department of Surgery and Cancer, Imperial College London, UK; Department of Development and Regeneration, KU Leuven, Belgium.
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10
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Dall'Asta A, Schievano S, Bruse JL, Paramasivam G, Kaihura CT, Dunaway D, Lees CC. Quantitative analysis of fetal facial morphology using 3D ultrasound and statistical shape modeling: a feasibility study. Am J Obstet Gynecol 2017; 217:76.e1-76.e8. [PMID: 28209493 DOI: 10.1016/j.ajog.2017.02.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Revised: 01/26/2017] [Accepted: 02/06/2017] [Indexed: 11/19/2022]
Abstract
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. STUDY DESIGN: Thirteen normal and 7 abnormal stored 3-dimensional ultrasound fetal face volumes were analyzed, at a median gestation of 29+4 weeks (25+0 to 36+1). The 20 3-dimensional surface meshes generated were aligned and served as input for a statistical shape model, which computed the mean 3-dimensional face shape and 3-dimensional shape variations using principal component analysis. RESULTS Ten shape modes explained more than 90% of the total shape variability in the population. While the first mode accounted for overall size differences, the second highlighted shape feature changes from an overall proportionate toward a more asymmetric face shape with a wide prominent forehead and an undersized, posteriorly positioned chin. Analysis of the Mahalanobis distance in principal component analysis shape space suggested differences between normal and abnormal fetuses (median and interquartile range distance values, 7.31 ± 5.54 for the normal group vs 13.27 ± 9.82 for the abnormal group) (P = .056). CONCLUSION This feasibility study demonstrates that objective characterization and quantification of fetal facial morphology is possible from 3-dimensional ultrasound. This technique has the potential to assist in utero diagnosis, particularly of rare conditions in which facial dysmorphology is a feature.
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Affiliation(s)
- Andrea Dall'Asta
- Centre for Fetal Care, Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare National Health Service Trust, London, United Kingdom; Obstetrics and Gynaecology Unit, University of Parma, Parma, Italy
| | - Silvia Schievano
- University College London Institute of Child Health and Great Ormond Street Hospital for Children, London, United Kingdom
| | - Jan L Bruse
- University College London Institute of Child Health and Great Ormond Street Hospital for Children, London, United Kingdom
| | - Gowrishankar Paramasivam
- Centre for Fetal Care, Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | | | - David Dunaway
- Craniofacial Unit, Great Ormond Street Hospital for Children National Health Service Foundation Trust and University College London Hospital, London, United Kingdom
| | - Christoph C Lees
- Centre for Fetal Care, Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare National Health Service Trust, London, United Kingdom; Institute of Reproductive and Developmental Biology, Department of Surgery and Cancer, Imperial College London, London, United Kingdom; Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
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