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Patino M, Jaimes C, Robson CD. Fetal Head and Neck Imaging. Magn Reson Imaging Clin N Am 2024; 32:413-430. [PMID: 38944431 DOI: 10.1016/j.mric.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/01/2024]
Abstract
Prenatal MRI plays an essential role in the evaluation of the head and neck. This article overviews technical considerations and both isolated and syndromic anomalies of the fetal calvarium, globes and orbits, ears, maxilla, mandible, and neck.
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Affiliation(s)
- Manuel Patino
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA; Pediatric Imaging Research Center, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
| | - Camilo Jaimes
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA; Pediatric Imaging Research Center, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
| | - Caroline D Robson
- Neuroradiology Division, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Main Building 2nd Floor, 300 Longwood Avenue, Boston, MA 02115, USA.
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Brady D, Schlatterer SD, Whitehead MT. Fetal brain MRI: neurometrics, typical diagnoses, and resolving common dilemmas. Br J Radiol 2023; 96:20211019. [PMID: 35604645 PMCID: PMC10321264 DOI: 10.1259/bjr.20211019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 04/29/2022] [Accepted: 05/11/2022] [Indexed: 01/13/2023] Open
Abstract
This review presents a practical approach to imaging the fetal brain by MRI. Herein, we demonstrate how to measure brain structures and fluid spaces, and discuss the importance of comparing measurements to normative biometric references at a corresponding gestational age. We present some common imaging dilemmas of the technical aspects of fetal MRI with regard to typical regions of abnormality including the cerebrum, the ventricular system, and the posterior fossa, and discuss how to resolve them.
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Hong Y, Ning L, Sun Y, Qian H, Ji Y. The growth and shape of the eyeball and crystalline lens in utero documented by fetal MR imaging. Heliyon 2023; 9:e12885. [PMID: 36685428 PMCID: PMC9851875 DOI: 10.1016/j.heliyon.2023.e12885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/06/2023] [Accepted: 01/06/2023] [Indexed: 01/11/2023] Open
Abstract
Purpose To study the growth model, shape, and developmental relationship of lens and eyeball, we used two-dimensional Magnetic Resonance (MR) imaging to investigate gestationally age-related changes in the selected ocular parameters in vivo. Materials and methods We retrospectively reviewed the MR images from 126 fetuses ranging from 21 to 39 weeks' gestation. Ocular parameters on MR imaging of transverse plane were measured including lens diameter (LD), anteroposterior lens diameter (APLD), lens surface area (LS), globe diameter (GD), anteroposterior globe diameter (APGD), globe surface area (GS). The growth model of each biometric against gestational age (GA), aspect ratio of lens and globe (LD/APLD and GD/APGD), and growing relationship between the ratio of lens and globe surface area (LS/GS) were studied by statistical analysis. Results The growth model of most biometry for gestational age is logarithmic, except for the diameter of the ocular globe (GD and APGD) showing a quadratic growth pattern. Our study showed that the lens was consistently larger in the transverse than the anteroposterior diameters during 21-39 weeks(P < 0.001). Besides, the ratio of surface area (LS/GS) was not significantly changing with GA(P = 0.4908), while the increase of LS was significantly accorded with that of GS(P < 0.001). Conclusion The lens shape throughout fetal life may take part in the process, shape changing from vertical ellipsoid, spherical to transversal ellipsoid, based on the logarithmically increased ratio of lens transverse and anteroposterior diameters. In the meanwhile, the aspect ratio of eyeball in late fetal life may imply a gradually spherical shape during gestation. Nomogram data from this study may provide appropriate information about morphological changes in the fetal lens and the synchronous relationship between lens and eyeball.
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Key Words
- AIC, Akaike Information Criterion
- APGD, anteroposterior globe diameter
- APLD, anteroposterior lens diameter
- CC, correlation coefficient
- CI, confidence intervals
- Eye biometry
- Fetus
- GA, gestational age
- GD, globe diameter
- GS, globe surface area
- LD, lens diameter
- LS, lens surface area
- Lens growth
- Lens shape
- MR imaging
- MR, Magnetic Resonance
- OLS, ordinary least square
- Ocular globe growth
- SD, standard deviation
- SNR, signal-to noise ratio
- T2W, T2 weighted
- US, ultrasound
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Affiliation(s)
- Yingying Hong
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China,NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, 200031, China,Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, 200031, China
| | - Li Ning
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China,NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, 200031, China,Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, 200031, China
| | - Yang Sun
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China,NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, 200031, China,Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, 200031, China
| | - Huijun Qian
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China,Corresponding author. Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, No. 419 Fangxie Rd. Shanghai, 200011, China.
| | - Yinghong Ji
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China,NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, 200031, China,Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, 200031, China,Corresponding author. Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai Key Laboratory of Visual Impairment and Restoration, No. 83 Fenyang Road, Shanghai, 200031, China.
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Jacobs E, Whitehead MT. Clinical spectrum of orbital and ocular abnormalities on fetal MRI. Pediatr Radiol 2023; 53:121-130. [PMID: 35867110 DOI: 10.1007/s00247-022-05439-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 05/13/2022] [Accepted: 06/17/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Fetal magnetic resonance imaging (MRI) may reveal sonographically occult ocular abnormalities. When discovered, acquired causes and genetic associations must be sought. OBJECTIVE We aim to evaluate a fetal cohort with orbit and/or globe malformations to determine whether there are imaging patterns that suggest the underlying cause. MATERIALS AND METHODS We searched all fetal MRI reports performed at an academic children's hospital over 9 consecutive years for orbit and/or globe abnormalities. Each positive exam and all follow-up MRIs were evaluated for interocular distance, globe size, shape and signal, and brain malformations. Genetic and clinical diagnoses were recorded from the medical record. RESULTS Seventy-six of 3,085 fetuses (2.5%) were diagnosed with ocular and/or globe abnormalities; 50% had postnatal follow-up MR exams, all confirming the fetal MRI findings. Ninety-two percent (70/76) had concurrent brain malformations. Sixty-seven percent (51/76) were diagnosed with an underlying disorder and 39% of these were genetically proven. The most common diagnoses with ocular globe abnormalities included CHARGE (coloboma of the eye, heart anomaly, choanal atresia, retardation and genital and ear anomalies) syndrome, trisomy 13 syndrome, dystroglycanopathy, holoprosencephaly and diencephalic-mesencephalic junction dysplasia. Genetic diagnoses were more likely with ocular globe abnormalities than isolated orbital abnormalities (P=0.04). Sixty-seven percent of fetuses with ocular calcifications, hemorrhage and/or lens abnormalities had potential maternal risk factors (P=0.03). CONCLUSION Malformed ocular globes are associated with brain malformations and genetic abnormalities. Ocular calcifications, hemorrhage and/or lens abnormalities may be associated with maternal risk factors. Genetic work-up should be considered when an ocular globe size or shape abnormality is detected.
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Affiliation(s)
- Erica Jacobs
- The George Washington University School of Medicine and Health Sciences, 2300 I Street NW, Washington, DC, 20052, USA.
| | - Matthew T Whitehead
- The George Washington University School of Medicine and Health Sciences, 2300 I Street NW, Washington, DC, 20052, USA.,Department of Neuroradiology, Children's National Hospital, Washington, DC, USA
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Guimaraes CVA, Dahmoush HM. Fetal Brain Anatomy. Neuroimaging Clin N Am 2022; 32:663-681. [PMID: 35843668 DOI: 10.1016/j.nic.2022.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
"Fetal brain development has been well studied, allowing for an ample knowledge of the normal changes that occur during gestation. Imaging modalities used to evaluate the fetal central nervous system (CNS) include ultrasound and MRI. MRI is the most accurate imaging modality for parenchymal evaluation and depiction of developmental CNS anomalies. The depiction of CNS abnormalities in a fetus can only be accurately made when there is an understanding of its normal development. This article reviews the expected normal fetal brain anatomy and development during gestation. Additional anatomic structures seen on brain imaging sequences are also reviewed."
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Affiliation(s)
- Carolina V A Guimaraes
- Division Chief of Pediatric Radiology, Department of Radiology, University of North Carolina, School of Medicine, 2006 Old Clinic Building, CB# 7510, Chapel Hill, NC 27599-7510, USA.
| | - Hisham M Dahmoush
- Department of Radiology, Stanford School of Medicine, Stanford University, 300 Pasteur Drive, Stanford, CA 94304, USA
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Improved differentiation between hypo/hypertelorism and normal fetuses based on MRI using automatic ocular biometric measurements, ocular ratios, and machine learning multi-parametric classification. Eur Radiol 2022; 33:54-63. [PMID: 35821428 DOI: 10.1007/s00330-022-08976-0] [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: 12/28/2021] [Revised: 06/12/2022] [Accepted: 06/20/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To differentiate hypo-/hypertelorism (abnormal) from normal fetuses using automatic biometric measurements and machine learning (ML) classification based on MRI. METHODS MRI data of normal (n = 244) and abnormal (n = 52) fetuses of 22-40 weeks' gestational age (GA), scanned between March 2008 and June 2020 on 1.5/3T systems with various T2-weighted sequences and image resolutions, were included. A fully automatic method including deep learning and geometric algorithms was developed to measure the binocular (BOD), inter-ocular (IOD), ocular (OD) diameters, and ocular volume (OV). Two new parameters, BOD-ratio and IOD-ratio, were defined as the ratio between BOD/IOD relative to the sum of both globes' OD, respectively. Eight ML classifiers were evaluated to detect abnormalities using measured and computed parameters. RESULTS The automatic method yielded a mean difference of BOD = 0.70 mm, IOD = 0.81 mm, OD = 1.00 mm, and a 3D-Dice score of OV = 93.7%. In normal fetuses, all four measurements increased with GA. Constant values were detected for BOD-ratio = 1.56 ± 0.05 and IOD-ratio = 0.60 ± 0.05 across all GA and when calculated from previously published reference data of both MRI and ultrasound. A random forest classifier yielded the best results on an independent test set (n = 58): AUC-ROC = 0.941 and F1-Score = 0.711 in comparison to AUC-ROC = 0.650 and F1-Score = 0.385 achieved based on the accepted criteria that define hypo/hypertelorism based on IOD (< 5th or > 95th percentiles). Using the explainable ML method, the two computed ratios were found as the most contributing parameters. CONCLUSIONS The developed fully automatic method demonstrates high performance on varied clinical imaging data. The new BOD and IOD ratios and ML multi-parametric classifier are suggested to improve the differentiation of hypo-/hypertelorism from normal fetuses. KEY POINTS • A fully automatic method for computing fetal ocular biometry from MRI is proposed, achieving high performance, comparable to that of an expert fetal neuro-radiologist. • Two new parameters, IOD-ratio and BOD-ratio, are proposed for routine clinical use in ultrasound and MRI. These two ratios are constant across gestational age in normal fetuses, consistent across studies, and differentiate between fetuses with and without hypo/hypertelorism. • Multi-parametric machine learning classification based on automatic measurements and the two new ratios improves the identification of fetal ocular anomalies beyond the accepted criteria (<5th or >95th IOD percentiles).
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Chiang CJ, Cheng YC, Tsai YS, Kuo PL, Chang CH. Recurrent Fetal Anophthalmia Caused by retinoids acid gene 6 mutations: Correlation between prenatal ultrasonography, magnetic resonance imaging, and pathology. Taiwan J Obstet Gynecol 2022; 61:180-185. [PMID: 35181035 DOI: 10.1016/j.tjog.2021.11.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/25/2021] [Indexed: 10/19/2022] Open
Abstract
OBJECTIVE Anophthalmia is an extreme form on the spectrum of anophthalmia-microphthalmia (A/M) syndrome. Most articles define fetal microphthalmia by an ocular diameter (OD) less than fifth percentile. Diagnosis of fetal microphthalmia using only orbital measurements such as interocular distance (IOD), and OD may neglect the presence or morphology of the fetal lens, hence failing to identify abnormalities of the fetal globe. CASE REPORT We hereby present a case of isolated fetal anophthalmia in two consecutive pregnancies from the same mother. Both fetuses presented as full-sized globes with absence or small size of lens under fetal ultrasound examination. Magnetic resonance imaging and pathology of the second fetus further revealed a thorough view of the underdeveloped globes. Whole exon sequencing (WES) analysis for the parents-fetus trio revealed compound heterozygous mutations of the retinoids acid gene 6 (STRA6). CONCLUSION Detailed examination for intraocular structures including fetal lens, in addition to orbital measurements by ultrasound is crucial for diagnosis of diseases in the A/M spectrum.
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Affiliation(s)
- Chia-Jung Chiang
- National Cheng Kung University Hospital, Department of Obstetrics and Gynecology, Tainan, Taiwan, ROC
| | - Yueh-Chin Cheng
- National Cheng Kung University Hospital, Department of Obstetrics and Gynecology, Tainan, Taiwan, ROC
| | - Yi-Shan Tsai
- National Cheng Kung University Hospital, Department of Radiology, Tainan, Taiwan, ROC
| | - Pao-Lin Kuo
- National Cheng Kung University Hospital, Department of Obstetrics and Gynecology, Tainan, Taiwan, ROC.
| | - Chiung-Hsin Chang
- National Cheng Kung University Hospital, Department of Obstetrics and Gynecology, Tainan, Taiwan, ROC.
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