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Pogledic I, Mankad K, Severino M, Lerman-Sagie T, Jakab A, Hadi E, Jansen AC, Bahi-Buisson N, Di Donato N, Oegema R, Mitter C, Capo I, Whitehead MT, Haldipur P, Mancini G, Huisman TAGM, Righini A, Dobyns B, Barkovich JA, Milosevic NJ, Kasprian G, Lequin M. Prenatal assessment of brain malformations on neuroimaging: an expert panel review. Brain 2024; 147:3982-4002. [PMID: 39054600 PMCID: PMC11730443 DOI: 10.1093/brain/awae253] [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] [Received: 04/26/2024] [Revised: 06/11/2024] [Accepted: 07/04/2024] [Indexed: 07/27/2024] Open
Abstract
Brain malformations represent a heterogeneous group of abnormalities of neural morphogenesis, often associated with aberrations of neuronal connectivity and brain volume. Prenatal detection of brain malformations requires a clear understanding of embryology and developmental morphology through the various stages of gestation. This expert panel review is written with the central aim of providing an easy-to-understand road map to improve prenatal detection and characterization of structural malformations based on the current understanding of normal and aberrant brain development. For every developmental stage, the utility of each available neuroimaging modality, including prenatal multiplanar neuro sonography, anatomical MRI and advanced MRI techniques, as well as further insights from post-mortem imaging, has been highlighted.
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Affiliation(s)
- Ivana Pogledic
- Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Kshitij Mankad
- Department of Radiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London WC1N3JH, UK
- UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, UK
| | | | - Tally Lerman-Sagie
- Multidisciplinary foetal Neurology Center, Obstetrics & Gynecology Ultrasound Unit, Obstetrics and Gynecology Department, Wolfson Medical Center, Holon 5822012, Israel
- Faculty of Medicine, Tel Aviv University, 5822012 Tel Aviv, Israel
| | - Andras Jakab
- Center for MR Research, University Children's Hospital Zurich, University of Zurich, 8032 Zurich, Switzerland
| | - Efrat Hadi
- Department of Obstetrics and Gynecology, Sheba Medical Center, Ramat Gan, Israel
- Faculty of Medicine, Tel Aviv University, 6436624 Tel Aviv, Israel
| | - Anna C Jansen
- Pediatric Neurology Unit, Universitair Ziekenhuis Antwerpen, 2650 EdegemAntwerp, Belgium
| | - Nadia Bahi-Buisson
- Pediatric Neurology, Necker Enfants Malades, University Hospital Imagine Institute, 75015 Paris, France
| | - Natalya Di Donato
- Institute for Clinical Genetics, University Hospital, TU Dresden, 01307 Dresden, Germany
| | - Renske Oegema
- Department of Genetics, University Medical Center Utrecht, Utrecht University, 3508 AB Utrecht, The Netherlands
| | - Christian Mitter
- Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Ivan Capo
- Department of Histology and Embryology, Faculty of Medicine, University of Novi Sad, Novi Sad 21000, Serbia
| | - Matthew T Whitehead
- Division of Neuroradiology, Department of Radiology, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Perelman School of Medicine, University of Pennsylvania Perelman School of Medicine of Philadelphia, Philadelphia, PA 19105, USA
| | - Parthiv Haldipur
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA 98105, USA
| | - Grazia Mancini
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam 3015GD, The Netherlands
| | - Thierry A G M Huisman
- Edward B. Singleton Department of Radiology, Texas Children's Hospital and Baylor College of Medicine, Houston, TX 77030, USA
| | - Andrea Righini
- Pediatric Radiology and Neuroradiology Department, Children’s Hospital V. Buzzi, 20154 Milan, Italy
| | - Bill Dobyns
- Department of Pediatrics, Division of Genetics and Metabolism, University of Minnesota, Minneapolis, MN 55454, USA
| | - James A Barkovich
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA
| | - Natasa Jovanov Milosevic
- Croatian Institute for Brain Research and Department of Biology, University of Zagreb, School of Medicine, 10000 Zagreb, Croatia
| | - Gregor Kasprian
- Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Maarten Lequin
- Edward B. Singleton Department of Radiology, Texas Children's Hospital and Baylor College of Medicine, Austin, TX 78717USA
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Cohn LN, Bookstein S, Laytman Klein T, Mordenfeld Kozlovsky N, Ziv-Baran T, Mayer A, Katorza E. Assessing the Agreement Between Diffusion Tension Imaging (DTI) and T2-Weighted MRI Sequence for Biometry of the Fetal Corpus Callosum. Diagnostics (Basel) 2024; 14:2700. [PMID: 39682608 DOI: 10.3390/diagnostics14232700] [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: 09/19/2024] [Revised: 11/09/2024] [Accepted: 11/27/2024] [Indexed: 12/18/2024] Open
Abstract
BACKGROUND/OBJECTIVES Little is known about the advantages of Diffusion Tensor Imaging (DTI) when evaluating the fetal corpus callosum (CC), a sensitive indicator for normal brain development. This study evaluates the contribution of DTI compared to T2-weighted imaging to assess fetal CC biometry. METHODS Data from the fetal MRI exams of singleton pregnancies between July 2017 and 2019 were retrospectively analyzed. Mid-sagittal sections were used to measure the CC biometry, and inter- and intra-observer agreements were assessed using the interclass correlation coefficient (ICC), targeting an ICC above 0.85. RESULTS The results from 100 patients (mean gestational age, 32.24 weeks) indicated excellent inter-observer reliability for DTI (ICC = 0.904, 95% CI = 0.815-0.952) and moderate agreement for T2-weighted imaging (ICC = 0.719, 95% CI = 0.556-0.842). Intra-observer assessments showed excellent reliability for both DTI and T2-weighted imaging (ICC = 0.967, 95% CI = 0.933-0.984 and ICC = 0.942, 95% CI = 0.884-0.971, respectively). However, a comparison between DTI and T2-weighted images for CC biometry showed poor agreement (ICC = 0.290, 95% CI = 0.071-0.476). CONCLUSIONS In conclusion, the study highlights a lack of agreement between DTI and T2-weighted imaging in fetal CC biometry, suggesting the need for further research to understand this discrepancy and the role of DTI in fetal health.
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Affiliation(s)
- Liel N Cohn
- Arrow Program for Medical Research Education, Chaim Sheba Medical Center, Tel-Hashomer 5262000, Israel
- School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Shai Bookstein
- Arrow Program for Medical Research Education, Chaim Sheba Medical Center, Tel-Hashomer 5262000, Israel
- School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Tamar Laytman Klein
- Arrow Program for Medical Research Education, Chaim Sheba Medical Center, Tel-Hashomer 5262000, Israel
- School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Nadia Mordenfeld Kozlovsky
- Arrow Program for Medical Research Education, Chaim Sheba Medical Center, Tel-Hashomer 5262000, Israel
- Department of Oncology, Chaim Sheba Medical Center, Tel-Hashomer 5262000, Israel
| | - Tomer Ziv-Baran
- Arrow Program for Medical Research Education, Chaim Sheba Medical Center, Tel-Hashomer 5262000, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Arnaldo Mayer
- School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
- Department of Diagnostic Radiology, Chaim Sheba Medical Center, Tel-Hashomer 5262000, Israel
| | - Eldad Katorza
- Arrow Program for Medical Research Education, Chaim Sheba Medical Center, Tel-Hashomer 5262000, Israel
- School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
- Department of Obstetrics and Gynecology, Chaim Sheba Medical Center, Tel-Hashomer 5262000, Israel
- Gertner Institute for Epidemiology & Health Policy Research, Chaim Sheba Medical Center, Tel-Hashomer 5262000, Israel
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3
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Hadi E, Dorittke T, Kienast P, Binder J, Glatter S, Hershko-Klement A, Lerman-Sagie T, Prayer D, Kasprian G. Magnetic resonance imaging and tractography of sensorimotor tracts in fetuses with intraventricular hemorrhage: feasibility and added prognostic value. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024; 64:626-634. [PMID: 39410711 DOI: 10.1002/uog.29109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 08/19/2024] [Accepted: 08/22/2024] [Indexed: 11/02/2024]
Abstract
OBJECTIVES To assess the feasibility, characteristics and prognostic value of prenatal visualization of the corticospinal tracts (CSTs) using diffusion-weighted magnetic resonance imaging (MRI)-based tractography in fetuses with intraventricular hemorrhage (IVH). METHODS This was a retrospective single-center cohort study of singleton fetuses diagnosed with IVH on MRI from January 2011 to December 2018. The left and right CSTs were reconstructed according to an in-utero diffusion tensor imaging sequence using a multi-region of interest (ROI) deterministic tractography approach. The CSTs were segmented by two polygonal ROI: at the level of the posterior limb of the internal capsule and the crus cerebri. The morphology and integrity of the CSTs were assessed visually. Internal capsule and crus cerebri apparent diffusion coefficient and fractional anisotropy values were measured. Postnatal motor function data were obtained from the parents using the functional status scale. RESULTS A total of 35 fetuses with IVH (mean ± SD gestational age, 29.1 ± 5.1 (range, 19.9-38.9) weeks) were included in the analysis. Parenchymal involvement on T2-weighted sequences was demonstrated in 19 (54%) of the cohort. CST involvement correlated significantly with the presence of parenchymal damage on T2-weighted imaging (P = 0.02). Among liveborn cases, the rate of motor impairment was 14% (1/7) in children with intact CSTs compared with 100% (5/5) in cases in which the CSTs were impaired (P = 0.015). CONCLUSIONS Fetal corticospinal tractography is feasible technically and offers valuable prognostic information. It enhances parental counseling by providing insights into potential motor outcome, underscoring its utility in complementing fetal neurosonography in cases of prenatal IVH. © 2024 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- E Hadi
- Diagnostic Ultrasound Unit, Institute of Obstetrical and Gynecological Imaging, Department of Obstetrics and Gynecology, Sheba Medical Center, Ramat Gan, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - T Dorittke
- Department of Obstetrics and Gynecology, Division of Obstetrics and Maternal-Fetal Medicine, Medical University of Vienna, Vienna, Austria
| | - P Kienast
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology, Medical University of Vienna, Vienna, Austria
| | - J Binder
- Department of Obstetrics and Gynecology, Division of Obstetrics and Maternal-Fetal Medicine, Medical University of Vienna, Vienna, Austria
| | - S Glatter
- Department of Pediatrics, Medical University of Vienna, Vienna, Austria
| | - A Hershko-Klement
- Department of Obstetrics and Gynecology, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - T Lerman-Sagie
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Multidisciplinary Fetal Neurology Center, Obstetrics and Gynecology Ultrasound Unit, Obstetrics and Gynecology Department, Wolfson Medical Center, Holon, Israel
| | - D Prayer
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology, Medical University of Vienna, Vienna, Austria
| | - G Kasprian
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology, Medical University of Vienna, Vienna, Austria
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Xiao J, Sun C, Chen R, Zhao Z, Wang G, Wu D. Reproducibility of Diffusion MRI-Based Tractography in the Fetal Brain. J Magn Reson Imaging 2024; 60:2055-2062. [PMID: 38284561 DOI: 10.1002/jmri.29253] [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: 08/29/2023] [Revised: 01/09/2024] [Accepted: 01/11/2024] [Indexed: 01/30/2024] Open
Abstract
BACKGROUND Tractography based on diffusion MRI (dMRI) is a useful tool to study white matter of the developing brain. However, its application in fetal brains is limited due to motion artifacts and low resolution of in utero dMRI, leading to reduced reliability, which was scarcely investigated in previous studies. PURPOSE To identify reliably traceable fibers in fetal brains and assess whether reproducibility varies with gestational age (GA) and varies between brain regions. STUDY TYPE Prospective cohort study. SUBJECTS A total of 44 healthy fetuses with GAs between 25 and 37 (31 ± 6). FIELD STRENGTH/SEQUENCE 3-T, diffusion-weighted echo-planar imaging sequence (2-5 repeated dMRI scans within the same session per subject). ASSESSMENT We fitted dMRI with constrained spherical deconvolution model and conducted tractography on eight fibers. We extracted volume, fractional anisotropy, and fiber count for each fiber and assessed the reproducibility of these metrics between repeated scans within each subject. Data were divided into two age-based subgroups (≤30 weeks, N = 28, and >30 weeks, N = 16) for further tests. STATISTICAL TESTS The reproducibility were compared between fibers by analysis of variance and two-sample t tests. Multiple comparisons were corrected by the false discovery rate (5% was accepted). RESULTS The reproducibility of the anterior thalamic radiation, inferior longitudinal fasciculus (ILF), genu of the corpus callosum (GCC), and body of the corpus callosum (BCC) significantly decreased with advancing GA (correlation coefficient = 0.525-0.823), as confirmed by group comparisons between fetuses in early GA (≤30 weeks) and late GA (>30 weeks) groups. Corticospinal tract, inferior fronto-occipital fasciculus, and GCC showed high reproducibility for fiber count (weighted dice average = 0.846 vs. 0.814), while BCC and ILF exhibited the lowest reproducibility in both age groups. DATA CONCLUSION The study indicates that the reliability of fetal brain tractography depends on GA and varies among different fibers. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Jiaxin Xiao
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Cong Sun
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Ruike Chen
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Zhiyong Zhao
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Guangbin Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Dan Wu
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
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Hadi E, Haddad L, Levy M, Gindes L, Hausman-Kedem M, Bassan H, Ben-Sira L, Libzon S, Kassif E, Hoffmann C, Leibovitz Z, Kasprian G, Lerman-Sagie T. Fetal intraventricular hemorrhage and periventricular hemorrhagic venous infarction: time for dedicated classification system. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024; 64:285-293. [PMID: 38363592 DOI: 10.1002/uog.27613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 01/27/2024] [Accepted: 01/29/2024] [Indexed: 02/17/2024]
Affiliation(s)
- E Hadi
- Diagnostic Ultrasound Unit, The Institute of Obstetrical and Gynecological Imaging, Department of Obstetrics and Gynecology, Sheba Medical Center, Ramat Gan, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - L Haddad
- Fetal Neurology Clinic, Wolfson Medical Center, Holon, Israel
- Ultrasound Unit, Department of Obstetrics and Gynecology, Wolfson Medical Center, Holon, Israel
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - M Levy
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petach Tikva, Israel
| | - L Gindes
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Fetal Neurology Clinic, Wolfson Medical Center, Holon, Israel
- Ultrasound Unit, Department of Obstetrics and Gynecology, Wolfson Medical Center, Holon, Israel
| | - M Hausman-Kedem
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Pediatric Neurology Institute, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - H Bassan
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Pediatric Neurology and Development Center, Shamir Medical Center (Assaf Harofeh), Be'er Ya'akov, Israel
| | - L Ben-Sira
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Radiology, Division of Pediatric Radiology, Dana Children's Hospital, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - S Libzon
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Fetal Neurology Clinic, Wolfson Medical Center, Holon, Israel
- Pediatric Neurology Institute, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - E Kassif
- Diagnostic Ultrasound Unit, The Institute of Obstetrical and Gynecological Imaging, Department of Obstetrics and Gynecology, Sheba Medical Center, Ramat Gan, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - C Hoffmann
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Neuroradiology Unit, Department of Diagnostic Radiology, Sheba Medical Center, Ramat Gan, Israel
| | - Z Leibovitz
- Fetal Neurology Clinic, Wolfson Medical Center, Holon, Israel
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Obstetrics and Gynecology Ultrasound Unit, Bnai-Zion Medical Center, Haifa, Israel
| | - G Kasprian
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology, Medical University of Vienna, Vienna, Austria
| | - T Lerman-Sagie
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Fetal Neurology Clinic, Wolfson Medical Center, Holon, Israel
- Pediatric Neurology Unit, Wolfson Medical Center, Holon, Israel
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Calixto C, Jaimes C, Soldatelli MD, Warfield SK, Gholipour A, Karimi D. Anatomically constrained tractography of the fetal brain. Neuroimage 2024; 297:120723. [PMID: 39029605 PMCID: PMC11382095 DOI: 10.1016/j.neuroimage.2024.120723] [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: 05/22/2024] [Accepted: 07/03/2024] [Indexed: 07/21/2024] Open
Abstract
Diffusion-weighted Magnetic Resonance Imaging (dMRI) is increasingly used to study the fetal brain in utero. An important computation enabled by dMRI is streamline tractography, which has unique applications such as tract-specific analysis of the brain white matter and structural connectivity assessment. However, due to the low fetal dMRI data quality and the challenging nature of tractography, existing methods tend to produce highly inaccurate results. They generate many false streamlines while failing to reconstruct the streamlines that constitute the major white matter tracts. In this paper, we advocate for anatomically constrained tractography based on an accurate segmentation of the fetal brain tissue directly in the dMRI space. We develop a deep learning method to compute the segmentation automatically. Experiments on independent test data show that this method can accurately segment the fetal brain tissue and drastically improve the tractography results. It enables the reconstruction of highly curved tracts such as optic radiations. Importantly, our method infers the tissue segmentation and streamline propagation direction from a diffusion tensor fit to the dMRI data, making it applicable to routine fetal dMRI scans. The proposed method can facilitate the study of fetal brain white matter tracts with dMRI.
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Affiliation(s)
- Camilo Calixto
- Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115, USA
| | - Camilo Jaimes
- Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114, USA
| | | | - Simon K Warfield
- Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115, USA
| | - Ali Gholipour
- Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115, USA
| | - Davood Karimi
- Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115, USA.
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7
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Verschuur AS, King R, Tax CMW, Boomsma MF, van Wezel-Meijler G, Leemans A, Leijser LM. Methodological considerations on diffusion MRI tractography in infants aged 0-2 years: a scoping review. Pediatr Res 2024:10.1038/s41390-024-03463-2. [PMID: 39143201 DOI: 10.1038/s41390-024-03463-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 07/20/2024] [Accepted: 07/24/2024] [Indexed: 08/16/2024]
Abstract
Diffusion MRI (dMRI) enables studying the complex architectural organization of the brain's white matter (WM) through virtual reconstruction of WM fiber tracts (tractography). Despite the anticipated clinical importance of applying tractography to study structural connectivity and tract development during the critical period of rapid infant brain maturation, detailed descriptions on how to approach tractography in young infants are limited. Over the past two decades, tractography from infant dMRI has mainly been applied in research settings and focused on diffusion tensor imaging (DTI). Only few studies used techniques superior to DTI in terms of disentangling information on the brain's organizational complexity, including crossing fibers. While more advanced techniques may enhance our understanding of the intricate processes of normal and abnormal brain development and extensive knowledge has been gained from application on adult scans, their applicability in infants has remained underexplored. This may partially be due to the higher technical requirements versus the need to limit scan time in young infants. We review various previously described methodological practices for tractography in the infant brain (0-2 years-of-age) and provide recommendations to optimize advanced tractography approaches to enable more accurate reconstructions of the brain WM's complexity. IMPACT: Diffusion tensor imaging is the technique most frequently used for fiber tracking in the developing infant brain but is limited in capability to disentangle the complex white matter organization. Advanced tractography techniques allow for reconstruction of crossing fiber bundles to better reflect the brain's complex organization. Yet, they pose practical and technical challenges in the fast developing young infant's brain. Methods on how to approach advanced tractography in the young infant's brain have hardly been described. Based on a literature review, recommendations are provided to optimize tractography for the developing infant brain, aiming to advance early diagnosis and neuroprotective strategies.
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Affiliation(s)
- Anouk S Verschuur
- Department of Radiology, Isala Hospital Zwolle, Zwolle, The Netherlands.
- Department of Pediatrics, Section of Newborn Critical Care, University of Calgary, Calgary, Canada.
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Regan King
- Department of Pediatrics, Section of Newborn Critical Care, University of Calgary, Calgary, Canada
| | - Chantal M W Tax
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
- CUBRIC, School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom
| | - Martijn F Boomsma
- Department of Radiology, Isala Hospital Zwolle, Zwolle, The Netherlands
- Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gerda van Wezel-Meijler
- Department of Neonatology, Isala Women and Children's Hospital Zwolle, Zwolle, The Netherlands
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lara M Leijser
- Department of Pediatrics, Section of Newborn Critical Care, University of Calgary, Calgary, Canada
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8
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Calixto C, Machado-Rivas F, Cortes-Albornoz MC, Karimi D, Velasco-Annis C, Afacan O, Warfield SK, Gholipour A, Jaimes C. Characterizing microstructural development in the fetal brain using diffusion MRI from 23 to 36 weeks of gestation. Cereb Cortex 2024; 34:bhad409. [PMID: 37948665 PMCID: PMC10793585 DOI: 10.1093/cercor/bhad409] [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: 08/30/2023] [Revised: 10/09/2023] [Accepted: 10/10/2023] [Indexed: 11/12/2023] Open
Abstract
We utilized motion-corrected diffusion tensor imaging (DTI) to evaluate microstructural changes in healthy fetal brains during the late second and third trimesters. Data were derived from fetal magnetic resonance imaging scans conducted as part of a prospective study spanning from 2013 March to 2019 May. The study included 44 fetuses between the gestational ages (GAs) of 23 and 36 weeks. We reconstructed fetal brain DTI using a motion-tracked slice-to-volume registration framework. Images were segmented into 14 regions of interest (ROIs) through label propagation using a fetal DTI atlas, with expert refinement. Statistical analysis involved assessing changes in fractional anisotropy (FA) and mean diffusivity (MD) throughout gestation using mixed-effects models, and identifying points of change in trajectory for ROIs with nonlinear trends. Results showed significant GA-related changes in FA and MD in all ROIs except in the thalamus' FA and corpus callosum's MD. Hemispheric asymmetries were found in the FA of the periventricular white matter (pvWM), intermediate zone, and subplate and in the MD of the ganglionic eminence and pvWM. This study provides valuable insight into the normal patterns of development of MD and FA in the fetal brain. These changes are closely linked with cytoarchitectonic changes and display indications of early functional specialization.
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Affiliation(s)
- Camilo Calixto
- Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Fedel Machado-Rivas
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Maria C Cortes-Albornoz
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Davood Karimi
- Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Clemente Velasco-Annis
- Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Onur Afacan
- Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Simon K Warfield
- Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Ali Gholipour
- Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Camilo Jaimes
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, United States
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Corroenne R, Grevent D, Mahallati H, Gauchard G, Bussieres L, Ville Y, Salomon LJ. Diffusion tensor imaging of fetal spinal cord: feasibility and gestational-age-related changes. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2023; 62:241-247. [PMID: 36971038 DOI: 10.1002/uog.26208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 02/27/2023] [Accepted: 03/16/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVES Diffusion tensor imaging (DTI) of the fetal brain is a relatively new technique that allows evaluation of white matter tracts of the central nervous system throughout pregnancy, as well as in certain pathological conditions. The objectives of this study were to evaluate the feasibility of DTI of the spinal cord in utero and to examine gestational-age (GA)-related changes in DTI parameters during pregnancy. METHODS This was a prospective study conducted between December 2021 and June 2022 in the LUMIERE Platform, Necker-Enfants Malades Hospital, Paris, France, as part of the LUMIERE SUR LE FETUS trial. Women with a pregnancy between 18 and 36 weeks of gestation without fetal or maternal abnormality were eligible for inclusion. Sagittal diffusion-weighted scans of the fetal spine were acquired, without sedation, using a 1.5-Tesla magnetic resonance imaging scanner. The imaging parameters were as follows: 15 non-collinear direction diffusion-weighted magnetic-pulsed gradients with a b-value 700 s/mm2 and one B0 image without diffusion-weighting; slice thickness, 3 mm; field of view (FOV), 36 mm; phase FOV, 1.00; voxel size, 4.5 × 2.8 × 3 mm3 ; number of slices, 7-10; repetition time, 2800 ms; echo time, minimum; and total acquisition time, 2.3 min. DTI parameters, including fractional anisotropy (FA) and apparent diffusion coefficient (ADC), were extracted at the cervical, upper thoracic, lower thoracic and lumbar levels of the spinal cord. Cases with motion degradation and those with aberrant reconstruction of the spinal cord on tractography were excluded. Pearson's correlation analysis was performed to evaluate GA-related changes of DTI parameters during pregnancy. RESULTS During the study period, 42 pregnant women were included at a median GA of 29.3 (range, 22.0-35.7) weeks. Five (11.9%) patients were not included in the analysis because of fetal movement. Two (4.8%) patients with aberrant tractography reconstruction were also excluded from analysis. Acquisition of DTI parameters was feasible in all remaining cases (35/35). Increasing GA correlated with increasing FA averaged over the entire fetal spinal cord (r, 0.37; P < 0.01), as well as at the individual cervical (r, 0.519; P < 0.01), upper thoracic (r, 0.468; P < 0.01), lower thoracic (r, 0.425; P = 0.02) and lumbar (r, 0.427; P = 0.02) levels. There was no correlation between GA and ADC averaged over the entire spinal cord (r, 0.01; P = 0.99) or at the individual cervical (r, -0.109; P = 0.56), upper thoracic (r, -0.226; P = 0.22), lower thoracic (r, -0.052; P = 0.78) or lumbar (r, -0.11; P = 0.95) levels. CONCLUSIONS This study shows that DTI of the spinal cord is feasible in normal fetuses in typical clinical practice and allows extraction of DTI parameters of the spinal cord. There is a significant GA-related change in FA in the fetal spinal cord during pregnancy, which may result from decreasing water content as observed during myelination of fiber tracts occurring in utero. This study may serve as a basis for further investigation of DTI in the fetus, including research into its potential in pathological conditions that impact spinal cord development. © 2023 International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- R Corroenne
- EA Fetus 7328 and LUMIERE Platform, University of Paris, Paris, France
- Department of Obstetrics, Fetal Medicine and Surgery, Necker-Enfants Malades Hospital, AP-HP, Paris, France
| | - D Grevent
- EA Fetus 7328 and LUMIERE Platform, University of Paris, Paris, France
- Department of Radiology, Necker-Enfants Malades Hospital, AP-HP, Paris, France
| | - H Mahallati
- Department of Radiology, University of Calgary, Alberta, Canada
| | - G Gauchard
- EA Fetus 7328 and LUMIERE Platform, University of Paris, Paris, France
| | - L Bussieres
- EA Fetus 7328 and LUMIERE Platform, University of Paris, Paris, France
- Department of Obstetrics, Fetal Medicine and Surgery, Necker-Enfants Malades Hospital, AP-HP, Paris, France
| | - Y Ville
- EA Fetus 7328 and LUMIERE Platform, University of Paris, Paris, France
- Department of Obstetrics, Fetal Medicine and Surgery, Necker-Enfants Malades Hospital, AP-HP, Paris, France
| | - L J Salomon
- EA Fetus 7328 and LUMIERE Platform, University of Paris, Paris, France
- Department of Obstetrics, Fetal Medicine and Surgery, Necker-Enfants Malades Hospital, AP-HP, Paris, France
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De Asis-Cruz J, Limperopoulos C. Harnessing the Power of Advanced Fetal Neuroimaging to Understand In Utero Footprints for Later Neuropsychiatric Disorders. Biol Psychiatry 2022; 93:867-879. [PMID: 36804195 DOI: 10.1016/j.biopsych.2022.11.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 11/03/2022] [Accepted: 11/25/2022] [Indexed: 12/12/2022]
Abstract
Adverse intrauterine events may profoundly impact fetal risk for future adult diseases. The mechanisms underlying this increased vulnerability are complex and remain poorly understood. Contemporary advances in fetal magnetic resonance imaging (MRI) have provided clinicians and scientists with unprecedented access to in vivo human fetal brain development to begin to identify emerging endophenotypes of neuropsychiatric disorders such as autism spectrum disorder, attention-deficit/hyperactivity disorder, and schizophrenia. In this review, we discuss salient findings of normal fetal neurodevelopment from studies using advanced, multimodal MRI that have provided unparalleled characterization of in utero prenatal brain morphology, metabolism, microstructure, and functional connectivity. We appraise the clinical utility of these normative data in identifying high-risk fetuses before birth. We highlight available studies that have investigated the predictive validity of advanced prenatal brain MRI findings and long-term neurodevelopmental outcomes. We then discuss how ex utero quantitative MRI findings can inform in utero investigations toward the pursuit of early biomarkers of risk. Lastly, we explore future opportunities to advance our understanding of the prenatal origins of neuropsychiatric disorders using precision fetal imaging.
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Corroenne R, Arthuis C, Kasprian G, Mahallati H, Ville Y, Millischer Bellaiche AE, Henry C, Grevent D, Salomon LJ. Diffusion tensor imaging of fetal brain: principles, potential and limitations of promising technique. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2022; 60:470-476. [PMID: 35561129 DOI: 10.1002/uog.24935] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 04/24/2022] [Accepted: 04/29/2022] [Indexed: 06/15/2023]
Abstract
Human brain development is a complex process that begins in the third week of gestation. During early development, the fetal brain undergoes dynamic morphological changes. These changes result from events such as neurogenesis, neuronal migration, synapse formation, axonal growth and myelination. Disruption of any of these processes is thought to be responsible for a wide array of different pathologies. Recent advances in magnetic resonance imaging, especially diffusion-weighted imaging and diffusion tensor imaging (DTI), have enabled characterization and evaluation of brain development in utero. In this review, aimed at practitioners involved in fetal medicine and high-risk pregnancies, we provide a comprehensive overview of fetal DTI studies focusing on characterization of early normal brain development as well as evaluation of brain pathology in utero. We also discuss the reliability and limitations of fetal brain DTI. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- R Corroenne
- Department of Obstetrics, Fetal Medicine and Surgery, Necker-Enfants Malades Hospital, APHP, Paris, France
- EA FETUS 7328 and LUMIERE Platform, University of Paris, Paris, France
| | - C Arthuis
- EA FETUS 7328 and LUMIERE Platform, University of Paris, Paris, France
- Department of Obstetrics, University Hospital of Nantes, Nantes, France
| | - G Kasprian
- Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - H Mahallati
- Department of Radiology, University of Calgary, Calgary, Canada
| | - Y Ville
- Department of Obstetrics, Fetal Medicine and Surgery, Necker-Enfants Malades Hospital, APHP, Paris, France
| | | | - C Henry
- EA FETUS 7328 and LUMIERE Platform, University of Paris, Paris, France
| | - D Grevent
- EA FETUS 7328 and LUMIERE Platform, University of Paris, Paris, France
- Department of Radiology, Necker-Enfants Malades Hospital, APHP, Paris, France
| | - L J Salomon
- Department of Obstetrics, Fetal Medicine and Surgery, Necker-Enfants Malades Hospital, APHP, Paris, France
- EA FETUS 7328 and LUMIERE Platform, University of Paris, Paris, France
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Millischer AE, Grevent D, Sonigo P, Bahi-Buisson N, Desguerre I, Mahallati H, Bault JP, Quibel T, Couderc S, Moutard ML, Julien E, Dangouloff V, Bessieres B, Malan V, Attie T, Salomon LJ, Boddaert N. Feasibility and Added Value of Fetal DTI Tractography in the Evaluation of an Isolated Short Corpus Callosum: Preliminary Results. AJNR Am J Neuroradiol 2022; 43:132-138. [PMID: 34949593 PMCID: PMC8757544 DOI: 10.3174/ajnr.a7383] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/27/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND PURPOSE Prognosis of isolated short corpus callosum is challenging. Our aim was to assess whether fetal DTI tractography can distinguish callosal dysplasia from variants of normal callosal development in fetuses with an isolated short corpus callosum. MATERIALS AND METHODS This was a retrospective study of 37 cases referred for fetal DTI at 30.4 weeks (range, 25-34 weeks) because of an isolated short corpus callosum less than the 5th percentile by sonography at 26 weeks (range, 22-31 weeks). Tractography quality, the presence of Probst bundles, dysmorphic frontal horns, callosal length (internal cranial occipitofrontal dimension/length of the corpus callosum ratio), and callosal thickness were assessed. Cytogenetic data and neurodevelopmental follow-up were systematically reviewed. RESULTS Thirty-three of 37 fetal DTIs distinguished the 2 groups: those with Probst bundles (Probst bundles+) in 13/33 cases (40%) and without Probst bundles (Probst bundles-) in 20/33 cases (60%). Internal cranial occipitofrontal dimension/length of the corpus callosum was significantly higher in Probst bundles+ than in Probst bundles-, with a threshold value determined at 3.75 for a sensitivity of 92% (95% CI, 77%-100%) and specificity of 85% (95% CI, 63%-100%). Callosal lipomas (4/4) were all in the Probst bundles- group. More genetic anomalies were found in the Probst bundles+ than in Probst bundles- group (23% versus 10%, P = .08). CONCLUSIONS Fetal DTI, combined with anatomic, cytogenetic, and clinical characteristics could suggest the possibility of classifying an isolated short corpus callosum as callosal dysplasia and a variant of normal callosal development.
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Affiliation(s)
- A.-E. Millischer
- From the Department of Paediatric Radiology (A.-E.M., D.G., P.S., V.D., N.B.), Assistance Publique–Hôpitaux de Paris, Hôpital Necker Enfants Malades, Université de Paris, Paris France,Institut Imagine (A.-E.M., D.G., P.S., N.B.-B., I.D., V.D., N.B.), Institut National de la Santé et de la Recherche Médicale U1163, Université de Paris, Paris, France,LUMIERE Platform (A.-E.M., D.G., P.S., H.M., N.B., L.-J.S.), Paris, France,IMPC Bachaumont (A.-E.M.), Paris, France
| | - D. Grevent
- From the Department of Paediatric Radiology (A.-E.M., D.G., P.S., V.D., N.B.), Assistance Publique–Hôpitaux de Paris, Hôpital Necker Enfants Malades, Université de Paris, Paris France,Institut Imagine (A.-E.M., D.G., P.S., N.B.-B., I.D., V.D., N.B.), Institut National de la Santé et de la Recherche Médicale U1163, Université de Paris, Paris, France,LUMIERE Platform (A.-E.M., D.G., P.S., H.M., N.B., L.-J.S.), Paris, France
| | - P. Sonigo
- From the Department of Paediatric Radiology (A.-E.M., D.G., P.S., V.D., N.B.), Assistance Publique–Hôpitaux de Paris, Hôpital Necker Enfants Malades, Université de Paris, Paris France,Institut Imagine (A.-E.M., D.G., P.S., N.B.-B., I.D., V.D., N.B.), Institut National de la Santé et de la Recherche Médicale U1163, Université de Paris, Paris, France,LUMIERE Platform (A.-E.M., D.G., P.S., H.M., N.B., L.-J.S.), Paris, France
| | - N. Bahi-Buisson
- Institut Imagine (A.-E.M., D.G., P.S., N.B.-B., I.D., V.D., N.B.), Institut National de la Santé et de la Recherche Médicale U1163, Université de Paris, Paris, France,Departments of Pediatric Neurology (N.B.-B., I.D.)
| | - I. Desguerre
- Institut Imagine (A.-E.M., D.G., P.S., N.B.-B., I.D., V.D., N.B.), Institut National de la Santé et de la Recherche Médicale U1163, Université de Paris, Paris, France,Departments of Pediatric Neurology (N.B.-B., I.D.)
| | - H. Mahallati
- LUMIERE Platform (A.-E.M., D.G., P.S., H.M., N.B., L.-J.S.), Paris, France,Department of Radiology (H.M.), University of Calgary, Calgary, Alberta, Canada
| | - J.-P. Bault
- Departments of Gynecology and Obstetrics (J.-P.B., T.Q.)
| | - T. Quibel
- Departments of Gynecology and Obstetrics (J.-P.B., T.Q.)
| | - S. Couderc
- Pediatrics (S.C.), CHI, Poissy Saint-Germain, France
| | - M.-L. Moutard
- Department of Pediatric Neurology (M.-L.M.), Trousseau Hospital, CHU, Trousseau, Paris
| | - E. Julien
- Department of Gynecology-Obstetrics (E.J.), Hospital Le Mans, Le Mans, France
| | - V. Dangouloff
- From the Department of Paediatric Radiology (A.-E.M., D.G., P.S., V.D., N.B.), Assistance Publique–Hôpitaux de Paris, Hôpital Necker Enfants Malades, Université de Paris, Paris France,Institut Imagine (A.-E.M., D.G., P.S., N.B.-B., I.D., V.D., N.B.), Institut National de la Santé et de la Recherche Médicale U1163, Université de Paris, Paris, France
| | | | - V. Malan
- Genetics (V.M., T.A.), Necker Enfants Malades University Hospital, Université de Paris, Paris, France
| | - T. Attie
- Genetics (V.M., T.A.), Necker Enfants Malades University Hospital, Université de Paris, Paris, France
| | - L.-J. Salomon
- LUMIERE Platform (A.-E.M., D.G., P.S., H.M., N.B., L.-J.S.), Paris, France,Department of Gynecology-Obstetrics (L.-J.S.), Université de Paris, Paris, France
| | - N. Boddaert
- From the Department of Paediatric Radiology (A.-E.M., D.G., P.S., V.D., N.B.), Assistance Publique–Hôpitaux de Paris, Hôpital Necker Enfants Malades, Université de Paris, Paris France,Institut Imagine (A.-E.M., D.G., P.S., N.B.-B., I.D., V.D., N.B.), Institut National de la Santé et de la Recherche Médicale U1163, Université de Paris, Paris, France,LUMIERE Platform (A.-E.M., D.G., P.S., H.M., N.B., L.-J.S.), Paris, France
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Single-direction diffusion-weighted imaging may be a simple complementary sequence for evaluating fetal corpus callosum. Eur Radiol 2021; 32:1135-1143. [PMID: 34331117 DOI: 10.1007/s00330-021-08176-2] [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: 03/08/2021] [Revised: 05/20/2021] [Accepted: 06/20/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVES To explore the feasibility of single-direction diffusion-weighted imaging (DWI) for assessing the fetal corpus callosum (CC). METHODS This prospective study included 67 fetuses with normal CC and 35 fetuses suspected with agenesis of the corpus callosum (ACC). The MR protocols included HASTE, TrueFISP, and single-direction DWI. Two radiologists independently evaluated the optimal visibility and the contrast ratio (CR) of the normal fetal CC. The Chi-squared test or Fisher's exact test was used to compare the proportions of "good" visibility (score ≥ 3, and the CC was almost/entirely visible) between single-direction DWI and HASTE/TrueFISP. The CR difference between single-direction DWI and HASTE/TrueFISP was detected using the paired t-test. The diagnostic accuracies were determined by comparison with postnatal imaging. In fetuses suspected of ACC, we measured and compared the length and area of the mid-sagittal CC in the single-direction DWI images. RESULTS The proportion of "good" visibility in single-direction DWI was higher than that in HASTE/TrueFISP, with p < 0.0001. The mean CR from single-direction DWI was also higher than that of TrueFISP and HASTE (both with p < 0.0001). The diagnostic accuracy of the single-direction DWI combined with HASTE/TrueFisp (97.1%, 34/35) was higher than that of the Haste/TrueFISP (74.3%, 26/35) (p = 0.013). The length and area of the PACC (p < 0.001, p = 0.001, respectively) and HCC (p < 0.001, p = 0.018, respectively) groups were significantly lower than those of the normal group. CONCLUSIONS The single-direction DWI is feasible in displaying fetal CC and can be a complementary sequence in diagnosing ACC. KEY POINTS • We suggest a simple method for the display of the fetal CC. • The optimal visibility and contrast ratio from single-direction DWI were higher than those from HASTE and TrueFISP. • The diagnostic accuracy of the single-direction DWI combined with HASTE/TrueFISP sequences (97.1%, 34/35) was higher than that of the Haste/TrueFISP (74.3%, 26/35).
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Role of prenatal magnetic resonance imaging in fetuses with isolated anomalies of corpus callosum: multinational study. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 58:26-33. [PMID: 33596324 DOI: 10.1002/uog.23612] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 01/27/2021] [Accepted: 02/08/2021] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To assess the performance of fetal magnetic resonance imaging (MRI) in detecting associated anomalies in fetuses diagnosed with isolated corpus callosal (CC) anomaly on multiplanar ultrasound evaluation of the fetal brain (neurosonography). METHODS This was a multicenter, retrospective cohort study involving 14 fetal medicine centers in Italy, UK, Portugal, Canada, Austria and Spain. Inclusion criteria were fetuses with an apparently isolated CC anomaly, defined as an anomaly of the CC and no other additional central nervous system (CNS) or extra-CNS abnormality detected on expert ultrasound, including multiplanar neurosonography; normal karyotype; maternal age ≥ 18 years; and gestational age at diagnosis ≥ 18 weeks. The primary outcome was the rate of additional CNS abnormalities detected exclusively on fetal MRI within 2 weeks following neurosonography. The secondary outcomes were the rate of additional abnormalities according to the type of CC abnormality (complete (cACC) or partial (pACC) agenesis of the CC) and the rate of additional anomalies detected only on postnatal imaging or at postmortem examination. RESULTS A total of 269 fetuses with a sonographic prenatal diagnosis of apparently isolated CC anomalies (207 with cACC and 62 with pACC) were included in the analysis. Additional structural anomalies of the CNS were detected exclusively on prenatal MRI in 11.2% (30/269) of cases, with malformations of cortical development representing the most common type of anomaly. When stratifying the analysis according to the type of CC anomaly, the rate of associated anomalies detected exclusively on MRI was 11.6% (24/207) in cACC cases and 9.7% (6/62) in pACC cases. On multivariate logistic regression analysis, only maternal body mass index was associated independently with the likelihood of detecting associated anomalies on MRI (odds ratio, 1.07 (95% CI, 1.01-1.14); P = 0.03). Associated anomalies were detected exclusively after delivery and were missed on both types of prenatal imaging in 3.9% (8/205) of fetuses with prenatal diagnosis of isolated anomaly of the CC. CONCLUSION In fetuses with isolated anomaly of the CC diagnosed on antenatal neurosonography, MRI can identify a small proportion of additional anomalies, mainly malformations of cortical development, which are not detected on ultrasound. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.
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Mahallati H, Sotiriadis A, Celestin C, Millischer AE, Sonigo P, Grevent D, O'Gorman N, Bahi-Buisson N, Attié-Bitach T, Ville Y, Salomon LJ. Heterogeneity in defining fetal corpus callosal pathology: systematic review. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 58:11-18. [PMID: 32798278 DOI: 10.1002/uog.22179] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 07/22/2020] [Accepted: 08/07/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE Fetal anomalies of the corpus callosum (CC) have been reported in the prenatal imaging literature since 1985, and, especially when isolated, pose challenges for both the patient and fetal medicine specialist. The purpose of this study was to review systematically the literature on prenatally diagnosed abnormalities of the CC, focusing on the terminology used to describe abnormalities other than complete agenesis of the CC, and to assess the heterogeneity of the nomenclature and definitions used. METHODS This study was conducted in accordance with the PRISMA statement for reporting systematic reviews. A literature search was performed to identify prospective or retrospective case series or cohort studies, published in English, French, Italian, German or Spanish, reporting fetal imaging findings and describing anomalies of the CC. Quality and risk of bias of the studies were evaluated using the Newcastle-Ottawa scale and a modification of the scale developed by Conde-Agudelo et al. for other fetal imaging studies. The data extracted included the number of patients, the number of different anomalies identified, the descriptive names of the anomalies, and, where applicable, the definitions of the anomalies, the number of cases of each type of anomaly and the biometric charts used. Secondary tests used to confirm the diagnosis, as well as the postnatal or post-termination tests used to ascertain the diagnosis, were also recorded. RESULTS The search identified 998 records, and, after review of titles and abstracts and full review of 45 papers, 27 studies were included initially in the review, of which 24 were included in the final analysis. These 24 studies had a broad range of quality and risk of bias and represented 1135 cases of CC anomalies, of which 49% were complete agenesis and the remainder were described using the term partial agenesis or nine other terms, of which five had more than one definition. CONCLUSIONS In comparison to the postnatal literature, in the prenatal literature there is much greater heterogeneity in the nomenclature and definition of CC anomalies other than complete agenesis. This heterogeneity and lack of standard definitions in the prenatal literature make it difficult to develop large multicenter pooled cohorts of patients who can be followed in order to develop a better understanding of the genetic associations and neurodevelopmental and psychological outcomes of patients with CC anomalies. As this information is important to improve counseling of these patients, a good first step towards this goal would be to develop a simpler categorization of prenatal CC anomalies that matches better the postnatal literature. © 2020 International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- H Mahallati
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Fetus & LUMIERE team, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
| | - A Sotiriadis
- Second Department of Obstetrics and Gynecology, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - C Celestin
- Service de Gynécologie-Obstétrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
| | - A E Millischer
- Fetus & LUMIERE team, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
- Service de Radiologie Pédiatrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
| | - P Sonigo
- Fetus & LUMIERE team, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
- Service de Radiologie Pédiatrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
| | - D Grevent
- Fetus & LUMIERE team, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
- Service de Radiologie Pédiatrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
| | - N O'Gorman
- Service de Gynécologie-Obstétrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
| | - N Bahi-Buisson
- Fetus & LUMIERE team, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
- Pediatric Neurology Department, University Hospital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
| | - T Attié-Bitach
- Fetus & LUMIERE team, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
- Service de Neurologie Pédiatrique, Université Paris Descartes et Inserm U781, Imagine, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
| | - Y Ville
- Fetus & LUMIERE team, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
- Service de Gynécologie-Obstétrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
| | - L J Salomon
- Fetus & LUMIERE team, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
- Service de Gynécologie-Obstétrique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
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Izzo G, Toto V, Doneda C, Parazzini C, Lanna M, Bulfamante G, Righini A. Fetal thick corpus callosum: new insights from neuroimaging and neuropathology in two cases and literature review. Neuroradiology 2021; 63:2139-2148. [PMID: 34021362 DOI: 10.1007/s00234-021-02699-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 03/23/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE To describe the correlation between fetal imaging (in vivo and ex vivo) and neuropathology in two fetuses at early gestational age (GA) with isolated thick corpus callosum (CC), a rare finding whose pathological significance and neuropathology data are scarce. METHODS Two fetuses at 21-week GA underwent fetal MRI (fMRI) for suspected callosal anomalies at ultrasound (US). After fMRI results, termination of pregnancy (TOP) was carried out and post-mortem MRI (pmMRI) was performed. Neuropathology correlation consisted in macro and microscopic evaluation with sections prepared for hematoxylin-eosin and immunohistochemistry staining. RESULTS Fetal imaging confirmed in both cases the presence of a shorter and thicker CC with respect to the reference standard at the same GA, without a clear distinction between its different parts. Moreover, on pmMRI, an abnormal slightly T2-weighted hyperintense layer along the superior and inferior surface of CC was noted in both cases. At histopathology, these findings corresponded to an increased amount of white matter tracts but also to an abnormal representation of embryological structures that contribute to CC development, naming induseum griseum (IG) and the glioepithelial layer (GL) of the "callosal sling." After reviewing the literature data, we confirmed the recent embryological theory regarding the CC development and provide new insights into the pathophysiology of the abnormal cases. CONCLUSIONS An abnormally thick CC at the early fetal period could be associated to an abnormal representation of the midline glia structures, so to result in potential disturbance of the axon guidance mechanism of callosal formation and eventually in CC dysgenesis.
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Affiliation(s)
- Giana Izzo
- Department of Radiology and Neuroradiology, Children's Hospital V. Buzzi , Via Castelvetro, 32 20154, Milan, Italy.
| | - Valentina Toto
- Department of Health Sciences, Pathology Division, San Paolo Hospital, University of Milan, Milan, Italy
| | - Chiara Doneda
- Department of Radiology and Neuroradiology, Children's Hospital V. Buzzi , Via Castelvetro, 32 20154, Milan, Italy
| | - Cecilia Parazzini
- Department of Radiology and Neuroradiology, Children's Hospital V. Buzzi , Via Castelvetro, 32 20154, Milan, Italy
| | - Mariano Lanna
- Obstetrics and Gynecology Department, Children's Hospital V. Buzzi - ASST Fatebenefratelli-Sacco, Milan, Italy
| | - Gaetano Bulfamante
- Department of Health Sciences, Pathology Division, San Paolo Hospital, University of Milan, Milan, Italy
| | - Andrea Righini
- Department of Radiology and Neuroradiology, Children's Hospital V. Buzzi , Via Castelvetro, 32 20154, Milan, Italy
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17
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van der Knoop BJ, de Vries JIP. Reply. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 57:176-177. [PMID: 33387416 DOI: 10.1002/uog.23561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Affiliation(s)
- B J van der Knoop
- Department of Obstetrics and Gynaecology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam UMC, Research Institute Amsterdam Movement Sciences, Amsterdam, The Netherlands
- Amsterdam UMC, Research Institute Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - J I P de Vries
- Department of Obstetrics and Gynaecology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam UMC, Research Institute Amsterdam Movement Sciences, Amsterdam, The Netherlands
- Amsterdam UMC, Research Institute Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
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18
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Ghassemi N, Rupe E, Perez M, Lamale-Smith L, Fratto VM, Farid N, Hahn M, Ramos GA, Ho Y, Rakow-Penner R, Horton K, Khan S, Jones M, Pretorius DH. Ultrasound and Magnetic Resonance Imaging of Agenesis of the Corpus Callosum in Fetuses: Frontal Horns and Cavum Septi Pellucidi Are Clues to Earlier Diagnosis. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2020; 39:2389-2403. [PMID: 32597533 DOI: 10.1002/jum.15348] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 04/30/2020] [Accepted: 05/06/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES We hypothesized that: (1) fetal frontal horn (FH) morphology and their proximity to the cavum septi pellucidi (CSP) can assist in suspecting complete agenesis of the corpus callosum (cACC) and partial agenesis of the corpus callosum (pACC) earlier than known indirect ultrasound (US) findings; (2) FHs assist in differentiating a true CSP from a pseudocavum; and (3) magnetic resonance imaging (MRI) is useful in learning FH morphology and pseudocavum etiology. METHODS Thirty-two patients with cACC and 9 with pACC were identified on an Institutional Review Board-approved retrospective review. Of the 41 cases, 40 had prenatal US, and 21 had prenatal MRI; 17 had follow-up neonatal US, and 14 had follow-up neonatal MRI. Variables evaluated retrospectively were the presence of a CSP or a pseudocavum, ventricle size and shape, and FH shape (comma, trident, parallel, golf club, enlarged, or fused). Displacement between the inferior edge of the FH and the midline or cavum/pseudocavum was measured. RESULTS Fetal FHs had an abnormal shape in 77% ≤20 weeks' gestation, 86% ≤24 weeks, and 90% >24 weeks. Frontal horns were laterally displaced greater than 2 mm in 85% ≤20 weeks, 91% ≤24 weeks, and 95% >24 weeks. The CSP was absent in 100% of cACC cases and 78% of pACC cases, and a pseudocavum was present in 88% of cACC cases and 78% of pACC cases across gestation. Magnetic resonance imaging confirmed US pseudocavums to be focal interhemispheric fluid or an elevated/dilated third ventricle. CONCLUSIONS Frontal horns assist in assessing ACC ≤24 weeks and throughout gestation. Pseudocavums, often simulating CSPs, are common in ACC. Frontal horn lateral displacement and abnormal morphology, recognized by MRI correlations, are helpful in differentiating a pseudocavum from a true CSP. A normal CSP should not be cleared on screening US unless normally shaped FHs are seen directly adjacent to it.
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Affiliation(s)
- Neda Ghassemi
- University of California, San Diego, School of Medicine (N.G.)
| | - Eric Rupe
- University of California, San Diego, Maternal-Fetal Care and Genetics (M.P., L.L.-S., V.M.F., M.H., G.A.R., M.J., D.H.P.), USA
| | - Mishella Perez
- Departments of Radiology (E.R., N.F., M.H., Y.H., R.R.-P., D.H.P.), USA
- Obstetrics, Gynecology and Reproductive Sciences (M.P., L.L.-S., V.M.F., G.A.R.), USA
| | - Leah Lamale-Smith
- Departments of Radiology (E.R., N.F., M.H., Y.H., R.R.-P., D.H.P.), USA
- Obstetrics, Gynecology and Reproductive Sciences (M.P., L.L.-S., V.M.F., G.A.R.), USA
| | - Victoria M Fratto
- Departments of Radiology (E.R., N.F., M.H., Y.H., R.R.-P., D.H.P.), USA
- Obstetrics, Gynecology and Reproductive Sciences (M.P., L.L.-S., V.M.F., G.A.R.), USA
| | - Nikdokht Farid
- University of California, San Diego, Maternal-Fetal Care and Genetics (M.P., L.L.-S., V.M.F., M.H., G.A.R., M.J., D.H.P.), USA
| | - Michael Hahn
- University of California, San Diego, Maternal-Fetal Care and Genetics (M.P., L.L.-S., V.M.F., M.H., G.A.R., M.J., D.H.P.), USA
- Departments of Radiology (E.R., N.F., M.H., Y.H., R.R.-P., D.H.P.), USA
| | - Gladys A Ramos
- Departments of Radiology (E.R., N.F., M.H., Y.H., R.R.-P., D.H.P.), USA
- Obstetrics, Gynecology and Reproductive Sciences (M.P., L.L.-S., V.M.F., G.A.R.), USA
| | - Yoona Ho
- University of California, San Diego, Maternal-Fetal Care and Genetics (M.P., L.L.-S., V.M.F., M.H., G.A.R., M.J., D.H.P.), USA
| | - Rebecca Rakow-Penner
- University of California, San Diego, Maternal-Fetal Care and Genetics (M.P., L.L.-S., V.M.F., M.H., G.A.R., M.J., D.H.P.), USA
| | - Katelyn Horton
- University of California, Berkeley, California, USA (K.H.), USA
| | - Sohini Khan
- University of California, Berkeley, California, USA (K.H.), USA
| | - Marilyn Jones
- Departments of Radiology (E.R., N.F., M.H., Y.H., R.R.-P., D.H.P.), USA
- General Surgery (S.K.) and Pediatrics (M.J.), University of California, USA
| | - Dolores H Pretorius
- University of California, San Diego, Maternal-Fetal Care and Genetics (M.P., L.L.-S., V.M.F., M.H., G.A.R., M.J., D.H.P.), USA
- Departments of Radiology (E.R., N.F., M.H., Y.H., R.R.-P., D.H.P.), USA
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19
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Corpus Callosum Agenesis: An Insight into the Etiology and Spectrum of Symptoms. Brain Sci 2020; 10:brainsci10090625. [PMID: 32916978 PMCID: PMC7565833 DOI: 10.3390/brainsci10090625] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 09/06/2020] [Accepted: 09/07/2020] [Indexed: 12/22/2022] Open
Abstract
Brain hemispheres are connected by commissural structures, which consist of white matter fiber tracts that spread excitatory stimuli to various regions of the cortex. This allows an interaction between the two cerebral halves. The largest commissure is the corpus callosum (CC) which is located inferior to the longitudinal fissure, serving as its lower border. Sometimes this structure is not completely developed, which results in the condition known as agenesis of the corpus callosum (ACC). The aim of this paper was to review the latest discoveries related to the genetic and metabolic background of ACC, including the genotype/phenotype correlations as well as the clinical and imaging symptomatology. Due to various factors, including genetic defects and metabolic diseases, the development of CC may be impaired in many ways, which results in complete or partial ACC. This creates several clinical implications, depending on the specificity of the malformation and other defects in patients. Epilepsy, motor impairment and intellectual disability are the most prevalent. However, an asymptomatic course of the disease is even more common. ACC presents with characteristic images on ultrasound and magnetic resonance imaging (MRI).
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20
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Jaimes C, Machado‐Rivas F, Afacan O, Khan S, Marami B, Ortinau CM, Rollins CK, Velasco‐Annis C, Warfield SK, Gholipour A. In vivo characterization of emerging white matter microstructure in the fetal brain in the third trimester. Hum Brain Mapp 2020. [DOI: 10.1002/hbm.25006 32374063] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Affiliation(s)
- Camilo Jaimes
- Department of RadiologyBoston Children's Hospital Boston Massachusetts
- Fetal‐Neonatal Neuroimaging and Developmental Science CenterBoston Children's Hospital Boston Massachusetts
- Harvard Medical School Boston Massachusetts
| | - Fedel Machado‐Rivas
- Department of RadiologyBoston Children's Hospital Boston Massachusetts
- Harvard Medical School Boston Massachusetts
| | - Onur Afacan
- Department of RadiologyBoston Children's Hospital Boston Massachusetts
- Harvard Medical School Boston Massachusetts
| | - Shadab Khan
- Department of RadiologyBoston Children's Hospital Boston Massachusetts
- Harvard Medical School Boston Massachusetts
| | - Bahram Marami
- Department of RadiologyBoston Children's Hospital Boston Massachusetts
- Harvard Medical School Boston Massachusetts
| | - Cynthia M. Ortinau
- Department of PediatricsWashington University in St. Louis School of Medicine St. Louis Missouri
| | - Caitlin K. Rollins
- Harvard Medical School Boston Massachusetts
- Department of NeurologyBoston Children's Hospital Boston Massachusetts
| | | | - Simon K. Warfield
- Department of RadiologyBoston Children's Hospital Boston Massachusetts
- Harvard Medical School Boston Massachusetts
| | - Ali Gholipour
- Department of RadiologyBoston Children's Hospital Boston Massachusetts
- Harvard Medical School Boston Massachusetts
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21
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Thomason ME. Development of Brain Networks In Utero: Relevance for Common Neural Disorders. Biol Psychiatry 2020; 88:40-50. [PMID: 32305217 PMCID: PMC7808399 DOI: 10.1016/j.biopsych.2020.02.007] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 01/05/2020] [Accepted: 02/05/2020] [Indexed: 01/27/2023]
Abstract
Magnetic resonance imaging, histological, and gene analysis approaches in living and nonliving human fetuses and in prematurely born neonates have provided insight into the staged processes of prenatal brain development. Increased understanding of micro- and macroscale brain network development before birth has spurred interest in understanding the relevance of prenatal brain development to common neurological diseases. Questions abound as to the sensitivity of the intrauterine brain to environmental programming, to windows of plasticity, and to the prenatal origin of disorders of childhood that involve disruptions in large-scale network connectivity. Much of the available literature on human prenatal neural development comes from cross-sectional or case studies that are not able to resolve the longitudinal consequences of individual variation in brain development before birth. This review will 1) detail specific methodologies for studying the human prenatal brain, 2) summarize large-scale human prenatal neural network development, integrating findings from across a variety of experimental approaches, 3) explore the plasticity of the early developing brain as well as potential sex differences in prenatal susceptibility, and 4) evaluate opportunities to link specific prenatal brain developmental processes to the forms of aberrant neural connectivity that underlie common neurological disorders of childhood.
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Affiliation(s)
- Moriah E Thomason
- Department of Child and Adolescent Psychiatry, Department of Population Health, and Neuroscience Institute, New York University Langone Health, New York, New York.
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22
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Jaimes C, Machado-Rivas F, Afacan O, Khan S, Marami B, Ortinau CM, Rollins CK, Velasco-Annis C, Warfield SK, Gholipour A. In vivo characterization of emerging white matter microstructure in the fetal brain in the third trimester. Hum Brain Mapp 2020; 41:3177-3185. [PMID: 32374063 PMCID: PMC7375105 DOI: 10.1002/hbm.25006] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 03/26/2020] [Accepted: 04/03/2020] [Indexed: 12/13/2022] Open
Abstract
The third trimester of pregnancy is a period of rapid development of fiber bundles in the fetal white matter. Using a recently developed motion‐tracked slice‐to‐volume registration (MT‐SVR) method, we aimed to quantify tract‐specific developmental changes in apparent diffusion coefficient (ADC), fractional anisotropy (FA), and volume in third trimester healthy fetuses. To this end, we reconstructed diffusion tensor images from motion corrected fetal diffusion magnetic resonance imaging data. With an approved protocol, fetal MRI exams were performed on healthy pregnant women at 3 Tesla and included multiple (2–8) diffusion scans of the fetal head (1–2 b = 0 s/mm2 images and 12 diffusion‐sensitized images at b = 500 s/mm2). Diffusion data from 32 fetuses (13 females) with median gestational age (GA) of 33 weeks 4 days were processed with MT‐SVR and deterministic tractography seeded by regions of interest corresponding to 12 major fiber tracts. Multivariable regression analysis was used to evaluate the association of GA with volume, FA, and ADC for each tract. For all tracts, the volume and FA increased, and the ADC decreased with GA. Associations reached statistical significance for: FA and ADC of the forceps major; volume and ADC for the forceps minor; FA, ADC, and volume for the cingulum; ADC, FA, and volume for the uncinate fasciculi; ADC of the inferior fronto‐occipital fasciculi, ADC of the inferior longitudinal fasciculi; and FA and ADC for the corticospinal tracts. These quantitative results demonstrate the complex pattern and rates of tract‐specific, GA‐related microstructural changes of the developing white matter in human fetal brain.
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Affiliation(s)
- Camilo Jaimes
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts.,Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Fedel Machado-Rivas
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Onur Afacan
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Shadab Khan
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Bahram Marami
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Cynthia M Ortinau
- Department of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - Caitlin K Rollins
- Harvard Medical School, Boston, Massachusetts.,Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
| | | | - Simon K Warfield
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Ali Gholipour
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
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23
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Hunt D, Dighe M, Gatenby C, Studholme C. Automatic, Age Consistent Reconstruction of the Corpus Callosum Guided by Coherency From In Utero Diffusion-Weighted MRI. IEEE TRANSACTIONS ON MEDICAL IMAGING 2020; 39:601-610. [PMID: 31395540 PMCID: PMC7189742 DOI: 10.1109/tmi.2019.2932681] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Reconstruction of white matter connectivity in the fetal brain from in utero diffusion-weighted magnetic resonance imaging (MRI) faces many challenges, including subject motion, small anatomical scale, and limited image resolution and signal. These issues are compounded by the need to track significant changes in structural connectivity throughout development. We present an automated method for improved reliability and completeness of tract extraction across a wide range of gestational ages, based on the geometry of coherent patterns in streamline tractography, and apply it to the reconstruction of the corpus callosum. This method, focused specifically at addressing the challenges of fetal brain imaging, avoids depending on a tractography atlas, and handles variations in size, shape, and tissue properties of developing brains, both between subjects and across ages. Although tractography from in utero MRI generally suffers from a significant number of misleading and missing pathways, we demonstrate the feasibility of extracting the coherent bundle of the corpus callosum while avoiding inappropriate diversions into other tracts.
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24
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Milos RI, Jovanov-Milošević N, Mitter C, Bobić-Rasonja M, Pogledic I, Gruber GM, Kasprian G, Brugger PC, Weber M, Judaš M, Prayer D. Developmental dynamics of the periventricular parietal crossroads of growing cortical pathways in the fetal brain - In vivo fetal MRI with histological correlation. Neuroimage 2020; 210:116553. [PMID: 31972277 DOI: 10.1016/j.neuroimage.2020.116553] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 01/09/2020] [Accepted: 01/14/2020] [Indexed: 12/19/2022] Open
Abstract
The periventricular crossroads have been described as transient structures of the fetal brain where major systems of developing fibers intersect. The triangular parietal crossroad constitutes one major crossroad region. By combining in vivo and post-mortem fetal MRI with histological and immunohistochemical methods, we aimed to characterize these structures. Data from 529 in vivo and 66 post-mortem MRI examinations of fetal brains between gestational weeks (GW) 18-39 were retrospectively reviewed. In each fetus, the area adjacent to the trigone of the lateral ventricles at the exit of the posterior limb of the internal capsule (PLIC) was assessed with respect to signal intensity, size, and shape on T2-weighted images. In addition, by using in vivo diffusion tensor imaging (DTI), the main fiber pathways that intersect in these areas were identified. In order to explain the in vivo features of the parietal crossroads (signal intensity and developmental profile), we analyzed 23 post-mortem fetal human brains, between 16 and 40 GW of age, processed by histological and immunohistochemical methods. The parietal crossroads were triangular-shaped areas with the base in the continuity of the PLIC, adjacent to the germinal matrix and the trigone of the lateral ventricles, with the tip pointing toward the subplate. These areas appeared hyperintense to the subplate, and corresponded to a convergence zone of the developing external capsule, the PLIC, and the fronto-occipital association fibers. They were best detected between GW 25-26, and, at term, they became isointense to the adjacent structures. The immunohistochemical results showed a distinct cellular, fibrillar, and extracellular matrix arrangement in the parietal crossroads, depending on the stage of development, which influenced the MRI features. The parietal crossroads are transient, but important structures in white matter maturation and their damage may be indicative of a poor prognosis for a fetus with regard to neurological development. In addition, impairment of this region may explain the complex neurodevelopmental deficits in preterm infants with periventricular hypoxic/ischemic or inflammatory lesions.
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Affiliation(s)
- Ruxandra-Iulia Milos
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Nataša Jovanov-Milošević
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Christian Mitter
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Mihaela Bobić-Rasonja
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Ivana Pogledic
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Gerlinde M Gruber
- Division of Anatomy, Center for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria
| | - Gregor Kasprian
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Peter C Brugger
- Division of Anatomy, Center for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria
| | - Michael Weber
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Miloš Judaš
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Daniela Prayer
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
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25
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Abstract
Developmental pathoconnectomics is an emerging field that aims to unravel the events leading to and outcome from disrupted brain connectivity development. Advanced magnetic resonance imaging (MRI) technology enables the portrayal of human brain connectivity before birth and has the potential to offer novel insights into normal and pathological human brain development. This review gives an overview of the currently used MRI techniques for connectomic imaging, with a particular focus on recent studies that have successfully translated these to the in utero or postmortem fetal setting. Possible mechanisms of how pathologies, maternal, or environmental factors may interfere with the emergence of the connectome are considered. The review highlights the importance of advanced image post processing and the need for reproducibility studies for connectomic imaging. Further work and novel data-sharing efforts would be required to validate or disprove recent observations from in utero connectomic studies, which are typically limited by low case numbers and high data drop out. Novel knowledge with regard to the ontogenesis, architecture, and temporal dynamics of the human brain connectome would lead to the more precise understanding of the etiological background of neurodevelopmental and mental disorders. To achieve this goal, this review considers the growing evidence from advanced fetal connectomic imaging for the increased vulnerability of the human brain during late gestation for pathologies that might lead to impaired connectome development and subsequently interfere with the development of neural substrates serving higher cognition.
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26
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Abstract
Prenatal imaging of the central nervous system has proven to be essential in the detection of anomalies to guide counseling and intrauterine and postnatal therapies. However, understanding the appearance of normal is important because the fetal brain changes dramatically during the pregnancy. In this review, normal imaging of the brain with ultrasound and MR imaging is discussed. The initial section stresses techniques for both modalities. The second section describes ultrasound and MR landmarks in a normal fetal brain.
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Affiliation(s)
- Beth M Kline-Fath
- Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA.
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27
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Lockwood Estrin G, Wu Z, Deprez M, Bertelsen Á, Rutherford MA, Counsell SJ, Hajnal JV. White and grey matter development in utero assessed using motion-corrected diffusion tensor imaging and its comparison to ex utero measures. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2019; 32:473-485. [PMID: 30864022 PMCID: PMC6647369 DOI: 10.1007/s10334-019-00743-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 01/31/2019] [Accepted: 02/03/2019] [Indexed: 11/18/2022]
Abstract
Objective Fetal brain diffusion tensor imaging (DTI) offers quantitative analysis of the developing brain. The objective was to 1) quantify DTI measures across gestation in a cohort of fetuses without brain abnormalities using full retrospective correction for fetal head motion 2) compare results obtained in utero to those in preterm infants. Materials and methods Motion-corrected DTI analysis was performed on data sets obtained at 1.5T from 32 fetuses scanned between 21.29 and 37.57 (median 31.86) weeks. Results were compared to 32 preterm infants scanned at 3T between 27.43 and 37.14 (median 33.07) weeks. Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) were quantified by region of interest measurements and tractography was performed. Results Fetal DTI was successful in 84% of fetuses for whom there was sufficient data for DTI estimation, and at least one tract could be obtained in 25 cases. Fetal FA values increased and ADC values decreased with age at scan (PLIC FA: p = 0.001; R2 = 0.469; slope = 0.011; splenium FA: p < 0.001; R2 = 0.597; slope = 0.019; thalamus ADC: p = 0.001; R2 = 0.420; slope = − 0.023); similar trends were found in preterm infants. Conclusion This study demonstrates that stable DTI is feasible on fetuses and provides evidence for normative values of diffusion properties that are consistent with aged matched preterm infants. Electronic supplementary material The online version of this article (10.1007/s10334-019-00743-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Georgia Lockwood Estrin
- Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, King's Health Partners, St. Thomas' Hospital, London, SE1 7EH, UK. .,Robert Steiner Unit, Imaging Sciences Department, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London, London, W12 0HS, UK. .,Centre for Brain and Cognitive Development, School of Psychology, Birkbeck College, University of London, London, WC1E 7HX, UK.
| | - ZhiQing Wu
- Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, King's Health Partners, St. Thomas' Hospital, London, SE1 7EH, UK
| | - Maria Deprez
- Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, King's Health Partners, St. Thomas' Hospital, London, SE1 7EH, UK
| | - Álvaro Bertelsen
- Robert Steiner Unit, Imaging Sciences Department, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London, London, W12 0HS, UK.,eHealth and Biomedical Applications Department, Vicomtech, Paseo Mikeletegi 57, 20009, San Sebastián, Spain
| | - Mary A Rutherford
- Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, King's Health Partners, St. Thomas' Hospital, London, SE1 7EH, UK
| | - Serena J Counsell
- Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, King's Health Partners, St. Thomas' Hospital, London, SE1 7EH, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, King's Health Partners, St. Thomas' Hospital, London, SE1 7EH, UK
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