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George E, Jaimes C, Xu D, Kasprian G, Glenn OA. How to Perform Fetal MR Imaging. Magn Reson Imaging Clin N Am 2024; 32:443-457. [PMID: 38944433 DOI: 10.1016/j.mric.2024.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/01/2024]
Abstract
This article provides the readers with practical guidance on how to perform fetal MR imaging, including technical considerations such as scanner field strength and use of appropriate radiofrequency receive coils, and summarizes the role, strengths, and limitations of the various MR imaging sequences. The authors review the various factors to consider in scan preparation, including study indication, timing, maternal preparation, and the creation of an institutional fetal imaging protocol. Additional factors that go into scan optimization during acquisition including prioritizing maternal comfort and ways to troubleshoot various artifacts that maybe encountered in fetal imaging are discussed.
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Affiliation(s)
- Elizabeth George
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue, San Francisco, CA 94143, USA.
| | - Camilo Jaimes
- Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California, 1700 4th Street BH303B, San Francisco, CA 94143, USA
| | - Gregor Kasprian
- Division of Neuroradiology, Department of Radiology and Biomedical Imaging, Medical University of Vienna, Währinger Gürtel 18-21, Vienna 1090, Austria
| | - Orit A Glenn
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue, San Francisco, CA 94143, USA
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Mufti N, Aertsen M, Thomson D, De Vloo P, Demaerel P, Deprest J, Melbourne A, David AL. Longitudinal MRI in the context of in utero surgery for open spina bifida: A descriptive study. Acta Obstet Gynecol Scand 2024; 103:322-333. [PMID: 37984808 PMCID: PMC10823411 DOI: 10.1111/aogs.14711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 09/17/2023] [Accepted: 10/17/2023] [Indexed: 11/22/2023]
Abstract
INTRODUCTION Fetal surgery for open spina bifida (OSB) requires comprehensive preoperative assessment using imaging for appropriate patient selection and to evaluate postoperative efficacy and complications. We explored patient access and conduct of fetal magnetic resonance imaging (MRI) for prenatal assessment of OSB patients eligible for fetal surgery. We compared imaging acquisition and reporting to the International Society of Ultrasound in Obstetrics and Gynecology MRI performance guidelines. MATERIAL AND METHODS We surveyed access to fetal MRI for OSB in referring fetal medicine units (FMUs) in the UK and Ireland, and two NHS England specialist commissioned fetal surgery centers (FSCs) at University College London Hospital, and University Hospitals KU Leuven Belgium. To study MRI acquisition protocols, we retrospectively analyzed fetal MRI images before and after fetal surgery for OSB. RESULTS MRI for fetal OSB was accessible with appropriate specialists available to supervise, perform, and report scans. The average time to arrange a fetal MRI appointment from request was 4 ± 3 days (range, 0-10), the average scan time available was 37 ± 16 min (range, 20-80 min), with 15 ± 11 min (range, 0-30 min) extra time to repeat sequences as required. Specific MRI acquisition protocols, and MRI reporting templates were available in only 32% and 18% of units, respectively. Satisfactory T2-weighted (T2W) brain imaging acquired in three orthogonal planes was achieved preoperatively in all centers, and 6 weeks postoperatively in 96% of FSCs and 78% of referring FMUs. However, for T2W spine image acquisition referring FMUs were less able to provide three orthogonal planes presurgery (98% FSC vs. 50% FMU, p < 0.001), and 6 weeks post-surgery (100% FSC vs. 48% FMU, p < 0.001). Other standard imaging recommendations such as T1-weighted (T1W), gradient echo (GE) or echoplanar fetal brain and spine imaging in one or two orthogonal planes were more likely available in FSCs compared to FMUs pre- and post-surgery (p < 0.001). CONCLUSIONS There was timely access to supervised MRI for OSB fetal surgery assessment. However, the provision of images of the fetal brain and spine in sufficient orthogonal planes, which are required for determining eligibility and to determine the reversal of hindbrain herniation after fetal surgery, were less frequently acquired. Our evidence suggests the need for specific guidance in relation to fetal MRI for OSB. We propose an example guidance for MRI acquisition and reporting.
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Affiliation(s)
- Nada Mufti
- Elizabeth Garrett Anderson Institute for Women's HealthUniversity College LondonLondonUK
- School of Biomedical Engineering and Imaging Sciences (BMEIS)King's College LondonLondonUK
| | - Michael Aertsen
- Department of RadiologyUniversity Hospitals Katholieke Universiteit (KU)LeuvenBelgium
| | - Dominic Thomson
- Pediatric Neurosurgery DepartmentGreat Ormond Street Hospital for ChildrenLondonUK
| | - Phillippe De Vloo
- Department of NeurosurgeryUniversity Hospitals Katholieke Universiteit (KU)LeuvenBelgium
| | - Philippe Demaerel
- Department of RadiologyUniversity Hospitals Katholieke Universiteit (KU)LeuvenBelgium
| | - Jan Deprest
- Elizabeth Garrett Anderson Institute for Women's HealthUniversity College LondonLondonUK
- Department of Obstetrics and GynecologyUniversity Hospitals Katholieke Universiteit (KU)LeuvenBelgium
| | - Andrew Melbourne
- School of Biomedical Engineering and Imaging Sciences (BMEIS)King's College LondonLondonUK
- Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
| | - Anna L. David
- Elizabeth Garrett Anderson Institute for Women's HealthUniversity College LondonLondonUK
- Department of Obstetrics and GynecologyUniversity Hospitals Katholieke Universiteit (KU)LeuvenBelgium
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Masse O, Brumfield O, Ahmad E, Velasco-Annis C, Zhang J, Rollins CK, Connolly S, Barnewolt C, Shamshirsaz AA, Qaderi S, Javinani A, Warfield SK, Yang E, Gholipour A, Feldman HA, Grant PE, Mulliken JB, Pierotich L, Estroff J. Divergent growth of the transient brain compartments in fetuses with nonsyndromic isolated clefts involving the primary and secondary palate. Cereb Cortex 2024; 34:bhae024. [PMID: 38365268 PMCID: PMC10872676 DOI: 10.1093/cercor/bhae024] [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: 11/03/2023] [Revised: 12/29/2023] [Accepted: 12/30/2023] [Indexed: 02/18/2024] Open
Abstract
Cleft lip/palate is a common orofacial malformation that often leads to speech/language difficulties as well as developmental delays in affected children, despite surgical repair. Our understanding of brain development in these children is limited. This study aimed to analyze prenatal brain development in fetuses with cleft lip/palate and controls. We examined in utero MRIs of 30 controls and 42 cleft lip/palate fetal cases and measured regional brain volumes. Cleft lip/palate was categorized into groups A (cleft lip or alveolus) and B (any combination of clefts involving the primary and secondary palates). Using a repeated-measures regression model with relative brain hemisphere volumes (%), and after adjusting for multiple comparisons, we did not identify significant differences in regional brain growth between group A and controls. Group B clefts had significantly slower weekly cerebellar growth compared with controls. We also observed divergent brain growth in transient brain structures (cortical plate, subplate, ganglionic eminence) within group B clefts, depending on severity (unilateral or bilateral) and defect location (hemisphere ipsilateral or contralateral to the defect). Further research is needed to explore the association between regional fetal brain growth and cleft lip/palate severity, with the potential to inform early neurodevelopmental biomarkers and personalized diagnostics.
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Affiliation(s)
- Olivia Masse
- Division of Newborn Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Olivia Brumfield
- Division of Newborn Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Esha Ahmad
- Division of Newborn Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Clemente Velasco-Annis
- Department of Radiology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Jennings Zhang
- Division of Newborn Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Caitlin K Rollins
- Department of Neurology Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Susan Connolly
- Department of Radiology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
- Maternal Fetal Care Center, Boston Children’s Hospital, Boston, MA 02115, United States
| | - Carol Barnewolt
- Department of Radiology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
- Maternal Fetal Care Center, Boston Children’s Hospital, Boston, MA 02115, United States
| | - Alireza A Shamshirsaz
- Maternal Fetal Care Center, Boston Children’s Hospital, Boston, MA 02115, United States
| | - Shohra Qaderi
- Maternal Fetal Care Center, Boston Children’s Hospital, Boston, MA 02115, United States
| | - Ali Javinani
- Maternal Fetal Care Center, Boston Children’s Hospital, Boston, MA 02115, United States
| | - Simon K Warfield
- Department of Radiology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Edward Yang
- Department of Radiology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Ali Gholipour
- Department of Radiology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Henry A Feldman
- Division of Newborn Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
- Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Patricia E Grant
- Division of Newborn Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - John B Mulliken
- Department of Plastic and Oral Surgery, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Lana Pierotich
- Division of Newborn Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Judy Estroff
- Department of Radiology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, United States
- Maternal Fetal Care Center, Boston Children’s Hospital, Boston, MA 02115, United States
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Machado-Rivas F, Cortes-Albornoz MC, Afacan O, Bedoya MA, Calixto C, Choi JJ, Ruggiero M, Gholipour A, Jaimes C. Fetal MRI at 3 T: Principles to Optimize Success. Radiographics 2023; 43:e220141. [PMID: 36995947 PMCID: PMC10091224 DOI: 10.1148/rg.220141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 03/31/2023]
Abstract
Fetal MRI has emerged as a cornerstone of prenatal imaging, helping to establish the correct diagnosis in pregnancies affected by congenital anomalies. In the past decade, 3 T imaging was introduced as an alternative to increase the signal-to-noise ratio (SNR) of the pulse sequences and improve anatomic detail. However, imaging at a higher field strength is not without challenges. Many artifacts that are barely appreciable at 1.5 T are amplified at 3 T. A systematic approach to imaging at 3 T that incorporates appropriate patient positioning, a thoughtful protocol design, and sequence optimization minimizes the impact of these artifacts and allows radiologists to reap the benefits of the increased SNR. The sequences used are the same at both field strengths and include single-shot T2-weighted, balanced steady-state free-precession, three-dimensional T1-weighted spoiled gradient-echo, and echo-planar imaging. Synergistic use of these acquisitions to sample various tissue contrasts and in various planes provides valuable information about fetal anatomy and pathologic conditions. In the authors' experience, fetal imaging at 3 T outperforms imaging at 1.5 T for most indications when performed under optimal circumstances. The authors condense the cumulative experience of fetal imaging specialists and MRI technologists who practice at a large referral center into a guideline covering all major aspects of fetal MRI at 3 T, from patient preparation to image interpretation. © RSNA, 2023 Quiz questions for this article are available in the supplemental material.
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Affiliation(s)
- Fedel Machado-Rivas
- From the Department of Radiology, Boston Children’s Hospital,
300 Longwood Ave, Boston, MA 02215 (F.M.R., M.C.C.A., O.A., M.A.B., C.C., M.R.,
A.G., C.J.); Department of Radiology, Harvard Medical School, Boston, Mass
(J.J.C.); and Department of Radiology, Cincinnati Children’s Hospital,
Cincinnati, Ohio (F.M.R., M.C.C.A., O.A., M.A.B., C.C., A.G., C.J.)
| | - Maria Camila Cortes-Albornoz
- From the Department of Radiology, Boston Children’s Hospital,
300 Longwood Ave, Boston, MA 02215 (F.M.R., M.C.C.A., O.A., M.A.B., C.C., M.R.,
A.G., C.J.); Department of Radiology, Harvard Medical School, Boston, Mass
(J.J.C.); and Department of Radiology, Cincinnati Children’s Hospital,
Cincinnati, Ohio (F.M.R., M.C.C.A., O.A., M.A.B., C.C., A.G., C.J.)
| | - Onur Afacan
- From the Department of Radiology, Boston Children’s Hospital,
300 Longwood Ave, Boston, MA 02215 (F.M.R., M.C.C.A., O.A., M.A.B., C.C., M.R.,
A.G., C.J.); Department of Radiology, Harvard Medical School, Boston, Mass
(J.J.C.); and Department of Radiology, Cincinnati Children’s Hospital,
Cincinnati, Ohio (F.M.R., M.C.C.A., O.A., M.A.B., C.C., A.G., C.J.)
| | - Maria Alejandra Bedoya
- From the Department of Radiology, Boston Children’s Hospital,
300 Longwood Ave, Boston, MA 02215 (F.M.R., M.C.C.A., O.A., M.A.B., C.C., M.R.,
A.G., C.J.); Department of Radiology, Harvard Medical School, Boston, Mass
(J.J.C.); and Department of Radiology, Cincinnati Children’s Hospital,
Cincinnati, Ohio (F.M.R., M.C.C.A., O.A., M.A.B., C.C., A.G., C.J.)
| | - Camilo Calixto
- From the Department of Radiology, Boston Children’s Hospital,
300 Longwood Ave, Boston, MA 02215 (F.M.R., M.C.C.A., O.A., M.A.B., C.C., M.R.,
A.G., C.J.); Department of Radiology, Harvard Medical School, Boston, Mass
(J.J.C.); and Department of Radiology, Cincinnati Children’s Hospital,
Cincinnati, Ohio (F.M.R., M.C.C.A., O.A., M.A.B., C.C., A.G., C.J.)
| | - Jungwhan John Choi
- From the Department of Radiology, Boston Children’s Hospital,
300 Longwood Ave, Boston, MA 02215 (F.M.R., M.C.C.A., O.A., M.A.B., C.C., M.R.,
A.G., C.J.); Department of Radiology, Harvard Medical School, Boston, Mass
(J.J.C.); and Department of Radiology, Cincinnati Children’s Hospital,
Cincinnati, Ohio (F.M.R., M.C.C.A., O.A., M.A.B., C.C., A.G., C.J.)
| | - Matthew Ruggiero
- From the Department of Radiology, Boston Children’s Hospital,
300 Longwood Ave, Boston, MA 02215 (F.M.R., M.C.C.A., O.A., M.A.B., C.C., M.R.,
A.G., C.J.); Department of Radiology, Harvard Medical School, Boston, Mass
(J.J.C.); and Department of Radiology, Cincinnati Children’s Hospital,
Cincinnati, Ohio (F.M.R., M.C.C.A., O.A., M.A.B., C.C., A.G., C.J.)
| | - Ali Gholipour
- From the Department of Radiology, Boston Children’s Hospital,
300 Longwood Ave, Boston, MA 02215 (F.M.R., M.C.C.A., O.A., M.A.B., C.C., M.R.,
A.G., C.J.); Department of Radiology, Harvard Medical School, Boston, Mass
(J.J.C.); and Department of Radiology, Cincinnati Children’s Hospital,
Cincinnati, Ohio (F.M.R., M.C.C.A., O.A., M.A.B., C.C., A.G., C.J.)
| | - Camilo Jaimes
- From the Department of Radiology, Boston Children’s Hospital,
300 Longwood Ave, Boston, MA 02215 (F.M.R., M.C.C.A., O.A., M.A.B., C.C., M.R.,
A.G., C.J.); Department of Radiology, Harvard Medical School, Boston, Mass
(J.J.C.); and Department of Radiology, Cincinnati Children’s Hospital,
Cincinnati, Ohio (F.M.R., M.C.C.A., O.A., M.A.B., C.C., A.G., C.J.)
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Vasung L, Rollins CK, Zhang J, Velasco-Annis C, Yang E, Lin PY, Sutin J, Warfield SK, Soul J, Estroff J, Connolly S, Barnewolt C, Gholipour A, Feldman HA, Grant PE. Abnormal development of transient fetal zones in mild isolated fetal ventriculomegaly. Cereb Cortex 2023; 33:1130-1139. [PMID: 35349640 PMCID: PMC9930628 DOI: 10.1093/cercor/bhac125] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 03/03/2022] [Accepted: 03/04/2022] [Indexed: 11/12/2022] Open
Abstract
Mild isolated fetal ventriculomegaly (iFVM) is the most common abnormality of the fetal central nervous system. It is characterized by enlargement of one or both of the lateral ventricles (defined as ventricular width greater than 10 mm, but less than 12 mm). Despite its high prevalence, the pathophysiology of iFVM during fetal brain development and the neurobiological substrate beyond ventricular enlargement remain unexplored. In this work, we aimed to establish the relationships between the structural development of transient fetal brain zones/compartments and increased cerebrospinal fluid volume. For this purpose, we used in vivo structural T2-weighted magnetic resonance imaging of 89 fetuses (48 controls and 41 cases with iFVM). Our results indicate abnormal development of transient zones/compartments belonging to both hemispheres (i.e. on the side with and also on the contralateral side without a dilated ventricle) in fetuses with iFVM. Specifically, compared to controls, we observed enlargement of proliferative zones and overgrowth of the cortical plate in iFVM with associated reduction of volumes of central structures, subplate, and fetal white matter. These results indicate that enlarged lateral ventricles might be linked to the development of transient fetal zones and that global brain development should be taken into consideration when evaluating iFVM.
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Affiliation(s)
- Lana Vasung
- Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Caitlin K Rollins
- Department of Neurology Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Jennings Zhang
- Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Clemente Velasco-Annis
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Edward Yang
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Pei-Yi Lin
- Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Jason Sutin
- Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Simon Keith Warfield
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Janet Soul
- Department of Neurology Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Judy Estroff
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Maternal Fetal Care Center, Boston Children’s Hospital, Boston, MA 02115, United States
| | - Susan Connolly
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Maternal Fetal Care Center, Boston Children’s Hospital, Boston, MA 02115, United States
| | - Carol Barnewolt
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Maternal Fetal Care Center, Boston Children’s Hospital, Boston, MA 02115, United States
| | - Ali Gholipour
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Henry A Feldman
- Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Patricia Ellen Grant
- Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
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6
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Fileva N, Severino M, Tortora D, Ramaglia A, Paladini D, Rossi A. Second trimester fetal MRI of the brain: Through the ground glass. JOURNAL OF CLINICAL ULTRASOUND : JCU 2023; 51:283-299. [PMID: 36785503 DOI: 10.1002/jcu.23423] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 12/28/2022] [Indexed: 06/18/2023]
Abstract
Fetal MRI is an important tool for the prenatal diagnosis of brain malformations and is often requested after second-trimester ultrasonography reveals a possible abnormality. Despite the immature state of the fetal brain at this early stage, early suggestive signs of the presence of brain malformations can be recognized. To differentiate between the normal dynamics of the growing brain and the developing pathological conditions can be challenging and requires extensive knowledge of normal central nervous system developmental stages and their neuroradiological counterparts at those different stages. This article reviews the second-trimester appearances of some commonly encountered brain malformations, focusing on helpful tricks and subtle signs to aid in the diagnosis of such conditions as rhombencephalosynapsis, various causes of vermian rotation, molar tooth spectrum anomalies, diencephalic-mesencephalic junction dysplasia, ganglionic eminence anomalies, and the most common malformations of cortical development.
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Affiliation(s)
- Nevena Fileva
- Department of Radiology, Medical University of Sofia, Sofia, Bulgaria
| | | | - Domenico Tortora
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Antonia Ramaglia
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Dario Paladini
- Fetal Medicine and Surgery Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Andrea Rossi
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
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Liu K, Xi B, Sun H, Wang J, Chen C, Wen X, Zhang Y, Zeng M. The clinical feasibility of artificial intelligence-assisted compressed sensing single-shot fluid-attenuated inversion recovery (ACS-SS-FLAIR) for evaluation of uncooperative patients with brain diseases: comparison with the conventional T2-FLAIR with parallel imaging. Acta Radiol 2022; 64:1943-1949. [PMID: 36423247 DOI: 10.1177/02841851221139125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Background Satisfactory magnetic resonance imaging (MRI) of those patients with involuntary head motion due to brain diseases is essential in avoiding missed diagnosis and guiding treatment. Purpose To investigate the clinical feasibility of artificial intelligence-assisted compressed sensing single-shot fluid-attenuated inversion recovery (ACS-SS-FLAIR) in evaluating patients with involuntary head motion due to brain diseases, compared with the conventional T2-FLAIR with parallel imaging (PI-FLAIR). Material and Methods A total of 33 uncooperative patients with brain disease were prospectively enrolled. Two readers independently reviewed images acquired with ACS-SS-FLAIR and PI-FLAIR at a 3.0-T MR scanner. In the aspects of qualitative evaluation of image quality, overall image quality and lesion conspicuity of ACS-SS-FLAIR and PI-FLAIR were assessed and then statistically compared by paired Wilcoxon rank-sum test. For quantitative evaluation, the relative contrast of lesion-to-cerebral parenchyma were calculated and compared. Results Overall image quality scores of ACS-SS-FLAIR evaluated by two readers were 2.94 ± 0.24 and 2.91 ± 0.29, respectively, both of which were significantly higher than that of PI-FLAIR, respectively ( P < 0.001 and <0.001). Lesion conspicuity scores of were 2.74 ± 0.47 and 2.79 ± 0.44, both of which were significantly higher than that of PI-FLAIR, respectively ( P < 0.001 and <0.001). In the quantitative evaluation for image quality, the relative contrast of lesion-to-cerebral parenchyma was 0.34 ± 0.09 in the ACS-SS-FLAIR sequence, significantly larger than that in the PI-FLAIR sequence ( P = 0.001). Conclusion The ACS-SS-FLAIR sequence is clinically feasible in the MRI workup of those patients with involuntary head motion due to brain diseases, showing shorter image acquisition time and better image quality compared with conventional PI-FLAIR.
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Affiliation(s)
- Kai Liu
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, PR China
| | - Bin Xi
- Wuxi 9th People's Hospital Affiliated to Soochow University, Wuxi, PR China
| | - Haitao Sun
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, PR China
| | - Jian Wang
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, PR China
| | - Caizhong Chen
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, PR China
| | - Xixi Wen
- Shanghai United Imaging Intelligence Co., Ltd, Shanghai, PR China
| | - Yunfei Zhang
- MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, PR China
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, PR China
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8
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Akiyama S, Madan N, Graham G, Samura O, Kitano R, Yun HJ, Craig A, Nakamura T, Hozawa A, Grant E, Im K, Tarui T. Regional brain development in fetuses with Dandy-Walker malformation: A volumetric fetal brain magnetic resonance imaging study. PLoS One 2022; 17:e0263535. [PMID: 35202430 PMCID: PMC8870580 DOI: 10.1371/journal.pone.0263535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 01/20/2022] [Indexed: 11/18/2022] Open
Abstract
Dandy-Walker malformation (DWM) is a common prenatally diagnosed cerebellar malformation, characterized by cystic dilatation of the fourth ventricle, upward rotation of the hypoplastic vermis, and posterior fossa enlargement with torcular elevation. DWM is associated with a broad spectrum of neurodevelopmental abnormalities such as cognitive, motor, and behavioral impairments, which cannot be explained solely by cerebellar malformations. Notably, the pathogenesis of these symptoms remains poorly understood. This study investigated whether fetal structural developmental abnormalities in DWM extended beyond the posterior fossa to the cerebrum even in fetuses without apparent cerebral anomalies. Post-acquisition volumetric fetal magnetic resonance imaging (MRI) analysis was performed in 12 fetuses with DWM and 14 control fetuses. Growth trajectories of the volumes of the cortical plate, subcortical parenchyma, cerebellar hemispheres, and vermis between 18 and 33 weeks of gestation were compared. The median (interquartile range) gestational ages at the time of MRI were 22.4 (19.4–24.0) and 23.9 (20.6–29.2) weeks in the DWM and control groups, respectively (p = 0.269). Eight of the 12 fetuses with DWM presented with associated cerebral anomalies, including hydrocephalus (n = 3), cerebral ventriculomegaly (n = 3), and complete (n = 2) and partial (n = 2) agenesis of the corpus callosum (ACC); 7 presented with extracerebral abnormalities. Chromosomal abnormalities were detected by microarray analysis in 4 of 11 fetuses with DWM, using amniocentesis. Volumetric analysis revealed that the cortical plate was significantly larger in fetuses with DWM than in controls (p = 0.040). Even without ACC, the subcortical parenchyma, whole cerebrum, cerebellar hemispheres, and whole brain were significantly larger in fetuses with DWM (n = 8) than in controls (p = 0.004, 0.025, 0.033, and 0.026, respectively). In conclusion, volumetric fetal MRI analysis demonstrated that the development of DWM extends throughout the brain during the fetal period, even without apparent cerebral anomalies.
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Affiliation(s)
- Shizuko Akiyama
- Mother Infant Research Institute, Tufts Medical Center, Boston, Massachusetts, United States of America
- * E-mail: (SA); (TT)
| | - Neel Madan
- Radiology, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - George Graham
- Obstetrics and Gynecology, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - Osamu Samura
- Obstetrics and Gynecology, Jikei University School of Medicine, Tokyo, Japan
| | - Rie Kitano
- Mother Infant Research Institute, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - Hyuk Jin Yun
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | - Alexa Craig
- Pediatric Neurology, Maine Medical Center, Portland, Oregan, United States of America
| | - Tomohiro Nakamura
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ellen Grant
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | - Kiho Im
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | - Tomo Tarui
- Mother Infant Research Institute, Tufts Medical Center, Boston, Massachusetts, United States of America
- Pediatric Neurology, Tufts Children’s Hospital, Boston, Massachusetts, United States of America
- * E-mail: (SA); (TT)
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9
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Pogledic I, Schwartz E, Bobić-Rasonja M, Mitter C, Baltzer P, Gruber GM, Milković-Periša M, Haberler C, Bettelheim D, Kasprian G, Judaš M, Prayer D, Jovanov-Milošević N. 3T MRI signal intensity profiles and thicknesses of transient zones in human fetal brain at mid-gestation. Eur J Paediatr Neurol 2021; 35:67-73. [PMID: 34653829 DOI: 10.1016/j.ejpn.2021.09.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 09/07/2021] [Accepted: 09/13/2021] [Indexed: 11/15/2022]
Abstract
In this study we compare temporal lobe (TL) signal intensity (SI) profiles, along with the average thicknesses of the transient zones obtained from postmortem MRI (pMRI) scans and corresponding histological slices, to the frontal lobe (FL) SI and zone thicknesses, in normal fetal brains. The purpose was to assess the synchronization of the corticogenetic processes in different brain lobes. Nine postmortem human fetal brains without cerebral pathologies, from 19 to 24 weeks of gestation (GW) were analyzed on T2-weighted 3T pMRI, at the coronal level of the thalamus and basal ganglia. The SI profiles of the transient zones in the TL correlate well spatially and temporally to the signal intensity profile of the FL. During the examined period, in the TL, the intermediate and subventricular zone are about the size of the subplate zone (SP), while the superficial SP demonstrates the highest signal intensity. The correlation of the SI profiles and the distributions of the transient zones in the two brain lobes, indicates a time-aligned histogenesis during this narrow time window. The 3TpMRI enables an assessment of the regularity of lamination patterns in the fetal telencephalic wall, upon comparative evaluation of sizes of the transient developmental zones and the SI profiles of different cortical regions. A knowledge of normal vs. abnormal transient lamination patterns and the SI profiles is a prerequisite for further advancement of the MR diagnostic tools needed for early detection of developmental brain pathologies prenatally, especially mild white matter injuries such as lesions of TL due to prenatal cytomegalovirus infections, or cortical malformations.
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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
| | - Ernst Schwartz
- Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, 1090, Vienna, Austria
| | - Mihaela Bobić-Rasonja
- University of Zagreb, School of Medicine, Croatian Institute for Brain Research, Section for Developmental Neuroscience, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, Šalata 12, 10000, Zagreb, Croatia; University of Zagreb, School of Medicine, Department of Biology, Šalata 3, 10000, Zagreb, Croatia
| | - Christian Mitter
- Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, 1090, Vienna, Austria
| | - Pascal Baltzer
- Division of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, 1090, Vienna, Austria
| | - Gerlinde Maria Gruber
- Department of Anatomy and Biomechanics, Karl Landsteiner University of Health Sciences, 3500, Krems, Austria
| | - Marija Milković-Periša
- University Hospital Centre Zagreb, Department of Pathology and Cytology, Petrova 13, 10000, Zagreb, Croatia; University of Zagreb, School of Medicine, Institute of Pathology, Šalata 10, 10000 Zagreb, Croatia
| | - Christine Haberler
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, 1090, Vienna, Austria
| | - Dieter Bettelheim
- Division of Obstetrics and Feto-Maternal Medicine, Department of Obstetrics and Gynecology, Medical University of Vienna, 1090, Vienna, Austria
| | - Gregor Kasprian
- Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, 1090, Vienna, Austria
| | - Miloš Judaš
- University of Zagreb, School of Medicine, Croatian Institute for Brain Research, Section for Developmental Neuroscience, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, Šalata 12, 10000, Zagreb, Croatia
| | - Daniela Prayer
- Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, 1090, Vienna, Austria
| | - Nataša Jovanov-Milošević
- University of Zagreb, School of Medicine, Croatian Institute for Brain Research, Section for Developmental Neuroscience, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, Šalata 12, 10000, Zagreb, Croatia; University of Zagreb, School of Medicine, Department of Biology, Šalata 3, 10000, Zagreb, Croatia.
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10
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Xu J, Turk EA, Grant PE, Golland P, Adalsteinsson E. STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION : MICCAI ... INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION 2021; 12907:197-206. [PMID: 37103468 PMCID: PMC10129053 DOI: 10.1007/978-3-030-87234-2_19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
Fetal motion is unpredictable and rapid on the scale of conventional MR scan times. Therefore, dynamic fetal MRI, which aims at capturing fetal motion and dynamics of fetal function, is limited to fast imaging techniques with compromises in image quality and resolution. Super-resolution for dynamic fetal MRI is still a challenge, especially when multi-oriented stacks of image slices for oversampling are not available and high temporal resolution for recording the dynamics of the fetus or placenta is desired. Further, fetal motion makes it difficult to acquire high-resolution images for supervised learning methods. To address this problem, in this work, we propose STRESS (Spatio-Temporal Resolution Enhancement with Simulated Scans), a self-supervised super-resolution framework for dynamic fetal MRI with interleaved slice acquisitions. Our proposed method simulates an interleaved slice acquisition along the high-resolution axis on the originally acquired data to generate pairs of low- and high-resolution images. Then, it trains a super-resolution network by exploiting both spatial and temporal correlations in the MR time series, which is used to enhance the resolution of the original data. Evaluations on both simulated and in utero data show that our proposed method outperforms other self-supervised super-resolution methods and improves image quality, which is beneficial to other downstream tasks and evaluations.
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Affiliation(s)
- Junshen Xu
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
| | - Esra Abaci Turk
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA
| | - P Ellen Grant
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Polina Golland
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
- Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
| | - Elfar Adalsteinsson
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
- Institute for Medical Engineering and Science, MIT, Cambridge, MA, USA
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11
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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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12
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Diogo MC, Glatter S, Prayer D, Gruber GM, Bettelheim D, Weber M, Dovjak G, Seidl R, Kasprian G. Improved neurodevelopmental prognostication in isolated corpus callosal agenesis: fetal magnetic resonance imaging-based scoring system. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 58:34-41. [PMID: 32484578 PMCID: PMC8362015 DOI: 10.1002/uog.22102] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 05/07/2020] [Accepted: 05/18/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES Corpus callosal agenesis (CCA) is one of the most common brain malformations and is generally associated with a good outcome when isolated. However, up to 25% of patients are at risk of neurodevelopmental delay, which currently available clinical and imaging parameters are inadequate to predict. The objectives of this study were to apply and validate a fetal magnetic resonance imaging (MRI) anatomical scoring system in a cohort of fetuses with isolated CCA and to evaluate the correlation with postnatal neurodevelopmental outcome. METHODS This was a retrospective cohort study of cases of prenatally diagnosed isolated CCA (as determined on ultrasound and MRI), with normal karyotype and with known postnatal neurodevelopmental outcome assessed by standardized testing. A fetal brain MRI anatomical scoring system based on seven categories (gyration, opercularization, temporal lobe symmetry, lamination, hippocampal position, basal ganglia and ventricular size) was developed and applied to the cohort; a total score of 0-11 points could be given, with a score of 0 representing normal anatomy. Images were scored independently by two neuroradiologists blinded to the outcome. For the purpose of assessing the correlation between fetal MRI score and neurodevelopmental outcome, neurodevelopmental test results were scored as follows: 0, 'below average' (poor outcome); 1, 'average'; and 2, 'above average' (good outcome). Spearman's rank coefficient was used to assess correlation, and inter-rater agreement in the assessment of fetal MRI score was calculated. RESULTS Twenty-one children (nine females (42.9%)) fulfilled the inclusion criteria. Thirty-seven fetal MRI examinations were evaluated. Mean gestational age was 28.3 ± 4.7 weeks (range, 20-38 weeks). All fetuses were delivered after 35 weeks' gestation with no perinatal complications. Fetal MRI scores ranged from 0 to 6 points, with a median of 3 points. Inter-rater agreement in fetal MRI score assessment was excellent (intraclass correlation coefficient, 0.959 (95% CI, 0.921-0.979)). Neurodevelopmental evaluation was performed on average at 2.6 ± 1.46 years (range, 0.5-5.8 years). There was a significant negative correlation between fetal MRI score and neurodevelopmental outcome score in the three areas tested: cognitive (ρ = -0.559, P < 0.0001); motor (ρ = -0.414, P = 0.012) and language (ρ = -0.565, P < 0.0001) skills. Using fetal MRI score cut-offs of ≤ 3 (good outcome) and ≥ 4 points (high risk for poor outcome), the correct prognosis could be determined in 20/21 (95.2% (95% CI, 77.3-99.2%)) cases. CONCLUSION By assessing structural features of the fetal brain on MRI, it may be possible to better stratify prenatally the risk of poor neurodevelopmental outcome in CCA patients. © 2020 Authors. 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)
- M. C. Diogo
- Department of Radiology, Division of Neuro‐ and Musculoskeletal RadiologyMedical University of ViennaViennaAustria
- Neuroradiology DepartmentHospital Garcia de OrtaAlmadaPortugal
| | - S. Glatter
- Department of Pediatrics and Adolescent Medicine, Division of Pediatric NeurologyMedical University of ViennaViennaAustria
| | - D. Prayer
- Department of Radiology, Division of Neuro‐ and Musculoskeletal RadiologyMedical University of ViennaViennaAustria
| | - G. M. Gruber
- Department of Radiology, Division of Neuro‐ and Musculoskeletal RadiologyMedical University of ViennaViennaAustria
- Department of Anatomy and BiomechanicsKarl Landsteiner University of Health SciencesKremsAustria
| | - D. Bettelheim
- Department of Gynecology and ObstetricsMedical University of ViennaViennaAustria
| | - M. Weber
- Department of Radiology, Division of Neuro‐ and Musculoskeletal RadiologyMedical University of ViennaViennaAustria
| | - G. Dovjak
- Department of Radiology, Division of Neuro‐ and Musculoskeletal RadiologyMedical University of ViennaViennaAustria
| | - R. Seidl
- Department of Pediatrics and Adolescent Medicine, Division of Pediatric NeurologyMedical University of ViennaViennaAustria
| | - G. Kasprian
- Department of Radiology, Division of Neuro‐ and Musculoskeletal RadiologyMedical University of ViennaViennaAustria
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13
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Vasung L, Rollins CK, Yun HJ, Velasco-Annis C, Zhang J, Wagstyl K, Evans A, Warfield SK, Feldman HA, Grant PE, Gholipour A. Quantitative In vivo MRI Assessment of Structural Asymmetries and Sexual Dimorphism of Transient Fetal Compartments in the Human Brain. Cereb Cortex 2021; 30:1752-1767. [PMID: 31602456 DOI: 10.1093/cercor/bhz200] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 08/02/2019] [Accepted: 08/05/2019] [Indexed: 12/19/2022] Open
Abstract
Structural asymmetries and sexual dimorphism of the human cerebral cortex have been identified in newborns, infants, children, adolescents, and adults. Some of these findings were linked with cognitive and neuropsychiatric disorders, which have roots in altered prenatal brain development. However, little is known about structural asymmetries or sexual dimorphism of transient fetal compartments that arise in utero. Thus, we aimed to identify structural asymmetries and sexual dimorphism in the volume of transient fetal compartments (cortical plate [CP] and subplate [SP]) across 22 regions. For this purpose, we used in vivo structural T2-weighted MRIs of 42 healthy fetuses (16.43-36.86 gestational weeks old, 15 females). We found significant leftward asymmetry in the volume of the CP and SP in the inferior frontal gyrus. The orbitofrontal cortex showed significant rightward asymmetry in the volume of CP merged with SP. Males had significantly larger volumes in regions belonging to limbic, occipital, and frontal lobes, which were driven by a significantly larger SP. Lastly, we did not observe sexual dimorphism in the growth trajectories of the CP or SP. In conclusion, these results support the hypothesis that structural asymmetries and sexual dimorphism in relative volumes of cortical regions are present during prenatal brain development.
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Affiliation(s)
- Lana Vasung
- Fetal-Neonatal Neuroimaging & Developmental Science Center (FNNDSC), Boston, MA 02115, USA.,Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Caitlin K Rollins
- Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Hyuk Jin Yun
- Fetal-Neonatal Neuroimaging & Developmental Science Center (FNNDSC), Boston, MA 02115, USA.,Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Clemente Velasco-Annis
- Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jennings Zhang
- Fetal-Neonatal Neuroimaging & Developmental Science Center (FNNDSC), Boston, MA 02115, USA.,McGill Centre for Integrative Neuroscience/Montreal Neurological Institute, McGill University, Montreal QC H3A 2B4, Canada
| | | | - Alan Evans
- McGill Centre for Integrative Neuroscience/Montreal Neurological Institute, McGill University, Montreal QC H3A 2B4, Canada
| | - Simon K Warfield
- Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Henry A Feldman
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - P Ellen Grant
- Fetal-Neonatal Neuroimaging & Developmental Science Center (FNNDSC), Boston, MA 02115, USA.,Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ali Gholipour
- Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
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14
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Vasung L, Zhao C, Barkovich M, Rollins CK, Zhang J, Lepage C, Corcoran T, Velasco-Annis C, Yun HJ, Im K, Warfield SK, Evans AC, Huang H, Gholipour A, Grant PE. Association between Quantitative MR Markers of Cortical Evolving Organization and Gene Expression during Human Prenatal Brain Development. Cereb Cortex 2021; 31:3610-3621. [PMID: 33836056 PMCID: PMC8258434 DOI: 10.1093/cercor/bhab035] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 02/03/2021] [Accepted: 02/04/2021] [Indexed: 11/13/2022] Open
Abstract
The relationship between structural changes of the cerebral cortex revealed by Magnetic Resonance Imaging (MRI) and gene expression in the human fetal brain has not been explored. In this study, we aimed to test the hypothesis that relative regional thickness (a measure of cortical evolving organization) of fetal cortical compartments (cortical plate [CP] and subplate [SP]) is associated with expression levels of genes with known cortical phenotype. Mean regional SP/CP thickness ratios across age measured on in utero MRI of 25 healthy fetuses (20-33 gestational weeks [GWs]) were correlated with publicly available regional gene expression levels (23-24 GW fetuses). Larger SP/CP thickness ratios (more pronounced cortical evolving organization) was found in perisylvian regions. Furthermore, we found a significant association between SP/CP thickness ratio and expression levels of the FLNA gene (mutated in periventricular heterotopia, congenital heart disease, and vascular malformations). Further work is needed to identify early MRI biomarkers of gene expression that lead to abnormal cortical development.
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Affiliation(s)
- Lana Vasung
- The Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA 02115, USA.,Division of Newborn Medicine, Boston Children's Hospital, Boston, MA 02115, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA.,Intelligent Medical Imaging Research Group, Boston Children's Hospital, Boston, MA 02115, USA
| | - Chenying Zhao
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew Barkovich
- Department of Radiology, UCSF Benioff Children's Hospital, San Francisco, CA 94158, USA.,Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA 94115, USA
| | - Caitlin K Rollins
- Intelligent Medical Imaging Research Group, Boston Children's Hospital, Boston, MA 02115, USA.,Department of Neurology, Boston Children's Hospital, Boston, MA 02115, USA.,Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Jennings Zhang
- The Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA 02115, USA.,Division of Newborn Medicine, Boston Children's Hospital, Boston, MA 02115, USA
| | - Claude Lepage
- ACELab, McGill Centre for Integrative Neuroscience, McGill University, Montreal, QC H3A 2B4, Canada
| | - Teddy Corcoran
- Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Clemente Velasco-Annis
- Intelligent Medical Imaging Research Group, Boston Children's Hospital, Boston, MA 02115, USA.,Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA 02115, USA.,Department of Radiology, Boston Children's Hospital; and Harvard Medical School, Boston, MA 02115, USA
| | - Hyuk Jin Yun
- The Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA 02115, USA.,Division of Newborn Medicine, Boston Children's Hospital, Boston, MA 02115, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Kiho Im
- The Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA 02115, USA.,Division of Newborn Medicine, Boston Children's Hospital, Boston, MA 02115, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Simon Keith Warfield
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA 02115, USA.,Department of Radiology, Boston Children's Hospital; and Harvard Medical School, Boston, MA 02115, USA
| | - Alan Charles Evans
- ACELab, McGill Centre for Integrative Neuroscience, McGill University, Montreal, QC H3A 2B4, Canada
| | - Hao Huang
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ali Gholipour
- Intelligent Medical Imaging Research Group, Boston Children's Hospital, Boston, MA 02115, USA.,Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA 02115, USA.,Department of Radiology, Boston Children's Hospital; and Harvard Medical School, Boston, MA 02115, USA
| | - Patricia Ellen Grant
- The Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA 02115, USA.,Division of Newborn Medicine, Boston Children's Hospital, Boston, MA 02115, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA.,Department of Radiology, Boston Children's Hospital; and Harvard Medical School, Boston, MA 02115, USA
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15
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Choi JJ, Yang E, Soul JS, Jaimes C. Fetal magnetic resonance imaging: supratentorial brain malformations. Pediatr Radiol 2020; 50:1934-1947. [PMID: 33252760 DOI: 10.1007/s00247-020-04696-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 03/16/2020] [Accepted: 04/23/2020] [Indexed: 11/29/2022]
Abstract
Fetal MRI is the modality of choice to study supratentorial brain malformations. To accurately interpret the MRI, the radiologist needs to understand the normal sequence of events that occurs during prenatal brain development; this includes familiarity with the processes of hemispheric cleavage, formation of interhemispheric commissures, neuro-glial proliferation and migration, and cortical folding. Disruption of these processes results in malformations observed on fetal MRI including holoprosencephaly, callosal agenesis, heterotopic gray matter, lissencephaly and other malformations of cortical development (focal cortical dysplasia, polymicrogyria). The radiologist should also be familiar with findings that have high association with specific conditions affecting the central nervous system or other organ systems. This review summarizes and illustrates common patterns of supratentorial brain malformations and emphasizes aspects that are important to patient care.
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Affiliation(s)
- Jungwhan John Choi
- Department of Radiology, Boston Children's Hospital, 300 Longwood Ave., Boston, MA, 02115, USA.,Harvard Medical School, Boston, MA, USA
| | - Edward Yang
- Department of Radiology, Boston Children's Hospital, 300 Longwood Ave., Boston, MA, 02115, USA.,Harvard Medical School, Boston, MA, USA
| | - Janet S Soul
- Harvard Medical School, Boston, MA, USA.,Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - Camilo Jaimes
- Department of Radiology, Boston Children's Hospital, 300 Longwood Ave., Boston, MA, 02115, USA. .,Harvard Medical School, Boston, MA, USA. .,Fetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, USA.
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16
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Rollins CK, Ortinau CM, Stopp C, Friedman KG, Tworetzky W, Gagoski B, Velasco-Annis C, Afacan O, Vasung L, Beaute JI, Rofeberg V, Estroff JA, Grant PE, Soul JS, Yang E, Wypij D, Gholipour A, Warfield SK, Newburger JW. Regional Brain Growth Trajectories in Fetuses with Congenital Heart Disease. Ann Neurol 2020; 89:143-157. [PMID: 33084086 DOI: 10.1002/ana.25940] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 10/14/2020] [Accepted: 10/16/2020] [Indexed: 01/02/2023]
Abstract
OBJECTIVE Congenital heart disease (CHD) is associated with abnormal brain development in utero. We applied innovative fetal magnetic resonance imaging (MRI) techniques to determine whether reduced fetal cerebral substrate delivery impacts the brain globally, or in a region-specific pattern. Our novel design included two control groups, one with and the other without a family history of CHD, to explore the contribution of shared genes and/or fetal environment to brain development. METHODS From 2014 to 2018, we enrolled 179 pregnant women into 4 groups: "HLHS/TGA" fetuses with hypoplastic left heart syndrome (HLHS) or transposition of the great arteries (TGA), diagnoses with lowest fetal cerebral substrate delivery; "CHD-other," with other CHD diagnoses; "CHD-related," healthy with a CHD family history; and "optimal control," healthy without a family history. Two MRIs were obtained between 18 and 40 weeks gestation. Random effect regression models assessed group differences in brain volumes and relationships to hemodynamic variables. RESULTS HLHS/TGA (n = 24), CHD-other (50), and CHD-related (34) groups each had generally smaller brain volumes than the optimal controls (71). Compared with CHD-related, the HLHS/TGA group had smaller subplate (-13.3% [standard error = 4.3%], p < 0.01) and intermediate (-13.7% [4.3%], p < 0.01) zones, with a similar trend in ventricular zone (-7.1% [1.9%], p = 0.07). These volumetric reductions were associated with lower cerebral substrate delivery. INTERPRETATION Fetuses with CHD, especially those with lowest cerebral substrate delivery, show a region-specific pattern of small brain volumes and impaired brain growth before 32 weeks gestation. The brains of fetuses with CHD were more similar to those of CHD-related than optimal controls, suggesting genetic or environmental factors also contribute. ANN NEUROL 2021;89:143-157.
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Affiliation(s)
- Caitlin K Rollins
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA.,Departments of Neurology, Harvard Medical School, Boston, MA, USA
| | - Cynthia M Ortinau
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO, USA
| | - Christian Stopp
- Department of Cardiology, Boston Children's Hospital, Boston, MA, USA
| | - Kevin G Friedman
- Department of Cardiology, Boston Children's Hospital, Boston, MA, USA.,Maternal Fetal Care Center, Boston Children's Hospital, Boston, MA, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Wayne Tworetzky
- Department of Cardiology, Boston Children's Hospital, Boston, MA, USA.,Maternal Fetal Care Center, Boston Children's Hospital, Boston, MA, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Borjan Gagoski
- Department of Radiology, Boston Children's Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | | | - Onur Afacan
- Department of Radiology, Boston Children's Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Lana Vasung
- Department of Radiology, Boston Children's Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Jeanette I Beaute
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - Valerie Rofeberg
- Department of Cardiology, Boston Children's Hospital, Boston, MA, USA
| | - Judy A Estroff
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO, USA.,Maternal Fetal Care Center, Boston Children's Hospital, Boston, MA, USA.,Department of Radiology, Boston Children's Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - P Ellen Grant
- Department of Radiology, Boston Children's Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Janet S Soul
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA.,Departments of Neurology, Harvard Medical School, Boston, MA, USA.,Maternal Fetal Care Center, Boston Children's Hospital, Boston, MA, USA
| | - Edward Yang
- Department of Radiology, Boston Children's Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - David Wypij
- Department of Cardiology, Boston Children's Hospital, Boston, MA, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ali Gholipour
- Department of Radiology, Boston Children's Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Simon K Warfield
- Department of Radiology, Boston Children's Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Jane W Newburger
- Department of Cardiology, Boston Children's Hospital, Boston, MA, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA
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17
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Wilson M, Muir K, Reddy D, Webster R, Kapoor C, Miller E. Prognostic Accuracy of Fetal MRI in Predicting Postnatal Neurodevelopmental Outcome. AJNR Am J Neuroradiol 2020; 41:2146-2154. [PMID: 32943421 DOI: 10.3174/ajnr.a6770] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 07/06/2020] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND PURPOSE The superior diagnostic accuracy of fetal MR imaging in detecting fetal brain abnormalities has been previously demonstrated; however, the ability of fetal MR imaging to prognosticate postnatal outcome is not well-studied. We performed a retrospective analysis to determine the prognostic accuracy of fetal MR imaging in predicting postnatal neurodevelopmental outcome. MATERIALS AND METHODS We identified all fetal MR imaging performed at the Children's Hospital of Eastern Ontario during a 10-year period and assessed agreement between prenatal prognosis and postnatal outcome. Prenatal prognosis was determined by a pediatric neurologist who reviewed the fetal MR imaging report and categorized each pregnancy as having a favorable, indeterminate, or poor prognosis. Assessment of postnatal neurodevelopmental outcome was made solely on the basis of the child's Gross Motor Function Classification System score and whether the child developed epilepsy. Postnatal outcome was categorized as favorable, intermediate, or poor. We also assessed the diagnostic accuracy of fetal MR imaging by comparing prenatal and postnatal imaging diagnoses. RESULTS We reviewed 145 fetal MR images: 114 were included in the assessment of diagnostic accuracy, and 104 were included in the assessment of prognostic accuracy. There was 93.0% agreement between prenatal and postnatal imaging diagnoses. Prognosis was favorable in 44.2%, indeterminate in 50.0%, and poor in 5.8% of pregnancies. There was 93.5% agreement between a favorable prenatal prognosis and a favorable postnatal outcome. CONCLUSIONS A favorable prenatal prognosis is highly predictive of a favorable postnatal outcome. Further studies are required to better understand the role of fetal MR imaging in prognosticating postnatal development, particularly in pregnancies with indeterminate and poor prognoses.
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Affiliation(s)
- M Wilson
- From the Department of Medical Imaging (M.W., C.K., E.M.).,Department of Neurology (M.W.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - K Muir
- Pediatric Neurology (K.M.)
| | - D Reddy
- Research Institute (D.R., R.W.), Children's Hospital of Eastern Ontario, University of Ottawa,Ottawa, Ontario, Canada
| | - R Webster
- Research Institute (D.R., R.W.), Children's Hospital of Eastern Ontario, University of Ottawa,Ottawa, Ontario, Canada
| | - C Kapoor
- From the Department of Medical Imaging (M.W., C.K., E.M.)
| | - E Miller
- From the Department of Medical Imaging (M.W., C.K., E.M.)
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18
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Kostović I. The enigmatic fetal subplate compartment forms an early tangential cortical nexus and provides the framework for construction of cortical connectivity. Prog Neurobiol 2020; 194:101883. [PMID: 32659318 DOI: 10.1016/j.pneurobio.2020.101883] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 06/05/2020] [Accepted: 07/06/2020] [Indexed: 12/19/2022]
Abstract
The most prominent transient compartment of the primate fetal cortex is the deep, cell-sparse, synapse-containing subplate compartment (SPC). The developmental role of the SPC and its extraordinary size in humans remain enigmatic. This paper evaluates evidence on the development and connectivity of the SPC and discusses its role in the pathogenesis of neurodevelopmental disorders. A synthesis of data shows that the subplate becomes a prominent compartment by its expansion from the deep cortical plate (CP), appearing well-delineated on MR scans and forming a tangential nexus across the hemisphere, consisting of an extracellular matrix, randomly distributed postmigratory neurons, multiple branches of thalamic and long corticocortical axons. The SPC generates early spontaneous non-synaptic and synaptic activity and mediates cortical response upon thalamic stimulation. The subplate nexus provides large-scale interareal connectivity possibly underlying fMR resting-state activity, before corticocortical pathways are established. In late fetal phase, when synapses appear within the CP, transient the SPC coexists with permanent circuitry. The histogenetic role of the SPC is to provide interactive milieu and capacity for guidance, sorting, "waiting" and target selection of thalamocortical and corticocortical pathways. The new evolutionary role of the SPC and its remnant white matter neurons is linked to the increasing number of associative pathways in the human neocortex. These roles attributed to the SPC are regulated using a spatiotemporal gene expression during critical periods, when pathogenic factors may disturb vulnerable circuitry of the SPC, causing neurodevelopmental cognitive circuitry disorders.
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Affiliation(s)
- Ivica Kostović
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, Salata 12, 10000 Zagreb, Croatia.
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19
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Vasung L, Rollins CK, Velasco-Annis C, Yun HJ, Zhang J, Warfield SK, Feldman HA, Gholipour A, Grant PE. Spatiotemporal Differences in the Regional Cortical Plate and Subplate Volume Growth during Fetal Development. Cereb Cortex 2020; 30:4438-4453. [PMID: 32147720 PMCID: PMC7325717 DOI: 10.1093/cercor/bhaa033] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 01/27/2020] [Accepted: 01/28/2020] [Indexed: 12/16/2022] Open
Abstract
The regional specification of the cerebral cortex can be described by protomap and protocortex hypotheses. The protomap hypothesis suggests that the regional destiny of cortical neurons and the relative size of the cortical area are genetically determined early during embryonic development. The protocortex hypothesis suggests that the regional growth rate is predominantly shaped by external influences. In order to determine regional volumes of cortical compartments (cortical plate (CP) or subplate (SP)) and estimate their growth rates, we acquired T2-weighted in utero MRIs of 40 healthy fetuses and grouped them into early (<25.5 GW), mid- (25.5-31.6 GW), and late (>31.6 GW) prenatal periods. MRIs were segmented into CP and SP and further parcellated into 22 gyral regions. No significant difference was found between periods in regional volume fractions of the CP or SP. However, during the early and mid-prenatal periods, we found significant differences in relative growth rates (% increase per GW) between regions of cortical compartments. Thus, the relative size of these regions are most likely conserved and determined early during development whereas more subtle growth differences between regions are fine-tuned later, during periods of peak thalamocortical growth. This is in agreement with both the protomap and protocortex hypothesis.
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Affiliation(s)
- Lana Vasung
- Fetal-Neonatal Neuroimaging & Developmental Science Center (FNNDSC), Boston, MA 02115, USA
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Caitlin K Rollins
- Computational Radiology Laboratory, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Clemente Velasco-Annis
- Computational Radiology Laboratory, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Hyuk Jin Yun
- Fetal-Neonatal Neuroimaging & Developmental Science Center (FNNDSC), Boston, MA 02115, USA
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jennings Zhang
- Fetal-Neonatal Neuroimaging & Developmental Science Center (FNNDSC), Boston, MA 02115, USA
| | - Simon K Warfield
- Computational Radiology Laboratory, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Henry A Feldman
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ali Gholipour
- Computational Radiology Laboratory, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - P Ellen Grant
- Fetal-Neonatal Neuroimaging & Developmental Science Center (FNNDSC), Boston, MA 02115, USA
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
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20
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Pogledic I, Schwartz E, Mitter C, Baltzer P, Milos RI, Gruber GM, Brugger PC, Hainfellner J, Bettelheim D, Langs G, Kasprian G, Prayer D. The Subplate Layers: The Superficial and Deep Subplate Can be Discriminated on 3 Tesla Human Fetal Postmortem MRI. Cereb Cortex 2020; 30:5038-5048. [PMID: 32377685 DOI: 10.1093/cercor/bhaa099] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 03/24/2020] [Accepted: 03/24/2020] [Indexed: 01/19/2023] Open
Abstract
The subplate (SP) is a transient structure of the human fetal brain that becomes the most prominent layer of the developing pallium during the late second trimester. It is important in the formation of thalamocortical and cortico-cortical connections. The SP is vulnerable in perinatal brain injury and may play a role in complex neurodevelopmental disorders, such as schizophrenia and autism. Nine postmortem fetal human brains (19-24 GW) were imaged on a 3 Tesla MR scanner and the T2-w images in the frontal and temporal lobes were compared, in each case, with the histological slices of the same brain. The brains were confirmed to be without any brain pathology. The purpose of this study was to demonstrate that the superficial SP (sSP) and deep SP (dSP) can be discriminated on postmortem MR images. More specifically, we aimed to clarify that the observable, thin, hyperintense layer below the cortical plate in the upper SP portion on T2-weighted MR images has an anatomical correspondence to the histologically established sSP. Therefore, the distinction between the sSP and dSP layers, using clinically available MR imaging methodology, is possible in postmortem MRI and can help in the imaging interpretation of the fetal cerebral layers.
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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
| | - Ernst Schwartz
- Computational Imaging Research Lab, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Christian Mitter
- Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Pascal Baltzer
- Division of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Ruxandra-Iulia Milos
- Division of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Gerlinde Maria Gruber
- Department of Anatomy and Biomechanics, Karl Landsteiner University of Health Sciences, 3500 Krems, Austria
| | - Peter C Brugger
- Division of Anatomy, Center for Anatomy and Cell Biology, Medical University of Vienna, 1090 Vienna, Austria
| | | | - Dieter Bettelheim
- Division of Obstetrics and Feto-Maternal Medicine, Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria
| | - Georg Langs
- Computational Imaging Research Lab, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Gregor Kasprian
- Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Daniela Prayer
- Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
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21
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Yun HJ, Vasung L, Tarui T, Rollins CK, Ortinau CM, Grant PE, Im K. Temporal Patterns of Emergence and Spatial Distribution of Sulcal Pits During Fetal Life. Cereb Cortex 2020; 30:4257-4268. [PMID: 32219376 DOI: 10.1093/cercor/bhaa053] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 01/16/2020] [Accepted: 02/14/2020] [Indexed: 12/23/2022] Open
Abstract
Sulcal pits are thought to represent the first cortical folds of primary sulci during neurodevelopment. The uniform spatial distribution of sulcal pits across individuals is hypothesized to be predetermined by a human-specific protomap which is related to functional localization under genetic controls in early fetal life. Thus, it is important to characterize temporal and spatial patterns of sulcal pits in the fetal brain that would provide additional information of functional development of the human brain and crucial insights into abnormal cortical maturation. In this paper, we investigated temporal patterns of emergence and spatial distribution of sulcal pits using 48 typically developing fetal brains in the second half of gestation. We found that the position and spatial variance of sulcal pits in the fetal brain are similar to those in the adult brain, and they are also temporally uniform against dynamic brain growth during fetal life. Furthermore, timing of pit emergence shows a regionally diverse pattern that may be associated with the subdivisions of the protomap. Our findings suggest that sulcal pits in the fetal brain are useful anatomical landmarks containing detailed information of functional localization in early cortical development and maintaining their spatial distribution throughout the human lifetime.
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Affiliation(s)
- Hyuk Jin Yun
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Lana Vasung
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Tomo Tarui
- Mother Infant Research Institute, Tufts Medical Center, Tufts University School of Medicine, Boston, MA 02111, USA.,Department of Pediatrics, Tufts Medical Center, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Caitlin K Rollins
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Cynthia M Ortinau
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - P Ellen Grant
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Kiho Im
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
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22
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Rossi A. EPI-FLAIR: A New Color on the Fetal Brain MRI Palette. Radiology 2019; 292:170-171. [PMID: 31094651 DOI: 10.1148/radiol.2019190764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Andrea Rossi
- From the Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Via Gerolamo Gaslini, 5, 16147 Genoa, Italy
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