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Panigrahy A, Blüml S, Rajagopalan V. Altered In Utero Metabolic Brain Trajectories in CHD: Going Beyond Fetal Brain Structure and Physiology. J Am Coll Cardiol 2023; 82:1624-1627. [PMID: 37821173 DOI: 10.1016/j.jacc.2023.08.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 08/31/2023] [Indexed: 10/13/2023]
Affiliation(s)
- Ashok Panigrahy
- Department of Radiology, Bioengineering, Bioinformatics and Developmental Biology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA.
| | - Stefan Blüml
- Department of Radiology, Children's Hospital of Los Angeles, Keck School of Medicine and Biomedical Engineering, USC, Los Angeles, California, USA
| | - Vidya Rajagopalan
- Department of Pediatrics and Radiology, Children's Hospital of Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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Hadjidekov G, Haynatzki G, Chaveeva P, Nikolov M, Masselli G, Rossi A. Concordance between US and MRI Two-Dimensional Measurement and Volumetric Segmentation in Fetal Ventriculomegaly. Diagnostics (Basel) 2023; 13:diagnostics13061183. [PMID: 36980491 PMCID: PMC10047855 DOI: 10.3390/diagnostics13061183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 03/03/2023] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
We provide a study comparison between two-dimensional measurement and volumetric (3D) segmentation of the lateral ventricles and brain structures in fetuses with isolated and non-isolated ventriculomegaly with 3D virtual organ computer-aided analysis (VOCAL) ultrasonography vs. magnetic resonance imaging (MRI) analyzed with 3D-Slicer software. In this cross-sectional study, 40 fetuses between 20 and 38 gestational weeks with various degrees of ventriculomegaly were included. A total of 71 ventricles were measured with ultrasound (US) and with MRI. A total of 64 sonographic ventricular volumes, 80 ventricular and 40 fetal brain MR volumes were segmented and analyzed using both imaging modalities by three observers. Sizes and volumes of the ventricles and brain parenchyma were independently analyzed by two radiologists, and interobserver correlation of the results with 3D fetal ultrasound data was performed. The semiautomated rotational multiplanar 3D VOCAL technique was performed for ultrasound volumetric measurements. Results were compared to manually extracted ventricular and total brain volumes in 3D-Slicer. Segmentation of fetal brain structures (cerebral and cerebellar hemispheres, brainstem, ventricles) performed independently by two radiologists showed high interobserver agreement. An excellent agreement between VOCAL and MRI volumetric and two-dimensional measurements was established, taking into account the intraclass correlation coefficients (ICC), and a Bland-Altman plot was established. US and MRI are valuable tools for performing fetal brain and ventricular volumetry for clinical prognosis and patient counseling. Our datasets could provide the backbone for further construction of quantitative normative trajectories of fetal intracranial structures and support earlier detection of abnormal brain development and ventriculomegaly, its timing and progression during gestation.
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Affiliation(s)
- George Hadjidekov
- Department of Radiology, University Hospital Lozenetz, Koziak 1 Str., 1407 Sofia, Bulgaria
- Department of Physics, Biophysics and Radiology, Faculty of Medicine, Sofia University "St Kliment Ohridski", 1504 Sofia, Bulgaria
| | - Gleb Haynatzki
- Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Petya Chaveeva
- Department of Fetal Medicine, Shterev Hospital, 1330 Sofia, Bulgaria
| | - Miroslav Nikolov
- Department of Theoretical Electrical Engineering, Technical University, 1156 Sofia, Bulgaria
| | - Gabriele Masselli
- Radiology Department, Umberto 1 Hospital Sapienza University, 00161 Rome, Italy
| | - Andrea Rossi
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Via Gerolamo Gaslini 5, 16147 Genoa, Italy
- Department of Health Sciences, University of Genoa, 16126 Genoa, Italy
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Jackson JL, Grant V, Barnett KS, Ball MK, Khalid O, Texter K, Laney B, Hoskinson KR. Structural Racism, Social Determinants of Health, and Provider Bias: Impact on Brain Development in Critical Congenital Heart Disease. Can J Cardiol 2023; 39:133-43. [PMID: 36368561 DOI: 10.1016/j.cjca.2022.11.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 10/17/2022] [Accepted: 11/03/2022] [Indexed: 11/11/2022] Open
Abstract
Critical congenital heart disease (cCHD) has neurodevelopmental sequelae that can carry into adulthood, which may be due to aberrant brain development or brain injury in the prenatal and perinatal/neonatal periods and beyond. Health disparities based on the intersection of sex, geography, race, and ethnicity have been identified for poorer pre- and postnatal outcomes in the general population, as well as those with cCHD. These disparities are likely driven by structural racism, disparities in social determinants of health, and provider bias, which further compound negative brain development outcomes. This review discusses how aberrant brain development in cCHD early in life is affected by reduced access to quality care (ie, prenatal care and testing, postnatal care) due to divestment in non-White neighbourhoods (eg, redlining) and food insecurity, differences in insurance status, location of residence, and perceived interpersonal racism and bias that disproportionately affects pregnant people of colour who have fewer economic resources. Suggestions are discussed for moving forward with implementing strategies in medical education, clinical care, research, and gaining insight into the communities served to combat disparities and bias while promoting cultural humility.
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Williamson BJ, Barnes-Davis ME, Vannest J, Anixt JS, Heydarian HC, Kuan L, Laue CS, Pratap J, Schapiro M, Tseng SY, Kadis DS. Altered white matter connectivity in children with congenital heart disease with single ventricle physiology. Sci Rep 2023; 13:1318. [PMID: 36693986 PMCID: PMC9873737 DOI: 10.1038/s41598-023-28634-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 01/20/2023] [Indexed: 01/25/2023] Open
Abstract
Children born with congenital heart disease (CHD) have seen a dramatic decrease in mortality thanks to surgical innovations. However, there are numerous risk factors associated with CHD that can disrupt neurodevelopment. Recent studies have found that psychological deficits and structural brain abnormalities persist into adulthood. The goal of the current study was to investigate white matter connectivity in early school-age children (6-11 years), born with complex cyanotic CHD (single ventricle physiology), who have undergone Fontan palliation, compared to a group of heart-healthy, typically developing controls (TPC). Additionally, we investigated associations between white matter tract connectivity and measures on a comprehensive neuropsychological battery within each group. Our results suggest CHD patients exhibit widespread decreases in white matter connectivity, and the extent of these decreases is related to performance in several cognitive domains. Analysis of network topology showed that hub distribution was more extensive and bilateral in the TPC group. Our results are consistent with previous studies suggesting perinatal ischemia leads to white matter lesions and delayed maturation.
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Affiliation(s)
| | - Maria E Barnes-Davis
- Department of Neonatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.,Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA
| | - Jennifer Vannest
- Department of Communication Sciences and Disorders, University of Cincinnati, Cincinnati, OH, USA
| | - Julia S Anixt
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA.,Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Haleh C Heydarian
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA.,Cardiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Lisa Kuan
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA.,Cardiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Cameron S Laue
- Department Psychology, Pacific University, Forest Grove, OR, USA
| | - Jayant Pratap
- Divisions of Cardiac Anesthesia and Cardiac Critical Care Medicine, Department of Anesthesia and Critical Care Medicine and Cardiac Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Mark Schapiro
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA.,Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | | | - Darren S Kadis
- Neurosciences and Mental Health, Research Institute, Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G 0A4, Canada. .,Department of Physiology, University of Toronto, Toronto, ON, Canada.
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Moerdijk AS, Claessens NH, van Ooijen IM, van Ooij P, Alderliesten T, Grotenhuis HB, Benders MJNL, Bohte AE, Breur JMPJ, Charisopoulou D, Clur SA, Cornette JMJ, Fejzic Z, Franssen MTM, Frerich S, Geerdink LM, Go ATJI, Gommers S, Helbing WA, Hirsch A, Holtackers RJ, Klein WM, Krings GJ, Lamb HJ, Nijman M, Pajkrt E, Planken RN, Schrauben EM, Steenhuis TJ, ter Heide H, Vanagt WYR, van Beynum IM, van Gaalen MD, van Iperen GG, van Schuppen J, Willems TP, Witters I. Fetal MRI of the heart and brain in congenital heart disease. Lancet Child Adolesc Health 2023; 7:59-68. [PMID: 36343660 DOI: 10.1016/s2352-4642(22)00249-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 08/12/2022] [Accepted: 08/22/2022] [Indexed: 11/06/2022]
Abstract
Antenatal assessment of congenital heart disease and associated anomalies by ultrasound has improved perinatal care. Fetal cardiovascular MRI and fetal brain MRI are rapidly evolving for fetal diagnostic testing of congenital heart disease. We give an overview on the use of fetal cardiovascular MRI and fetal brain MRI in congenital heart disease, focusing on the current applications and diagnostic yield of structural and functional imaging during pregnancy. Fetal cardiovascular MRI in congenital heart disease is a promising supplementary imaging method to echocardiography for the diagnosis of antenatal congenital heart disease in weeks 30-40 of pregnancy. Concomitant fetal brain MRI is superior to brain ultrasound to show the complex relationship between fetal haemodynamics in congenital heart disease and brain development.
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Affiliation(s)
- Anouk S Moerdijk
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | - Nathalie Hp Claessens
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands; Department of Neonatology, Division of Woman and Baby, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | - Inge M van Ooijen
- Department of Neonatology, Division of Woman and Baby, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | - Pim van Ooij
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | - Thomas Alderliesten
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands; Department of Neonatology, Division of Woman and Baby, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | - Heynric B Grotenhuis
- Department of Pediatric Cardiology, Division of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands.
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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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Griffiths PD, Jarvis D, Connolly DJ, Mooney C, Embleton N, Hart AR. Predicting neurodevelopmental outcomes in fetuses with isolated mild ventriculomegaly. Arch Dis Child Fetal Neonatal Ed 2022; 107:431-436. [PMID: 34844985 DOI: 10.1136/archdischild-2021-321984] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 10/16/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND Fetal ventriculomegaly is the the most common intracranial abnormality detected antenatally. When ventriculomegaly is mild and the only, isolated, abnormality detected (isolated mild ventriculomegaly (IMVM)) the prognosis is generally considered to be good. We aim to determine if there are features on in utero MRI (iuMRI) that can identify fetuses with IMVM who have lower risks of abnormal neurodevelopment outcome. METHODS We studied cases recruited into the MRI to enhance the diagnosis of fetal developmental brain abnormalities in utero (MERIDIAN) study, specifically those with: confirmed IMVM, 3D volume imaging of the fetal brain and neurodevelopmental outcomes at 3 years. We explored the influence of sex of the fetus, laterality of the ventriculomegaly and intracranial compartmental volumes in relation to neurodevelopmental outcome. FINDINGS Forty-two fetuses met the criteria (33 male and 9 female). There was no obvious correlation between fetal sex and the risk of poor neurodevelopmental outcome. Unilateral IMVM was present in 23 fetuses and bilateral IMVM in 19 fetuses. All fetuses with unilateral IMVM had normal neurodevelopmental outcomes, while only 12/19 with bilateral IMVM had normal neurodevelopmental outcomes. There was no obvious correlation between measure of intracranial volumes and risk of abnormal developmental outcomes. INTERPRETATION The most important finding is the very high chance of a good neurodevelopmental outcome observed in fetuses with unilateral IMVM, which is a potentially important finding for antenatal counselling. There does not appear to be a link between the volume of the ventricular system or brain volume and the risk of poor neurodevelopmental outcome.
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Affiliation(s)
| | - Deborah Jarvis
- Academic Unit of Radiology, The University of Sheffield, Sheffield, UK
| | - Daniel J Connolly
- Neuroradiology, Sheffield Childrens Hospital NHS Foundation Trust, Sheffield, UK
| | - Cara Mooney
- Clinical Trials Research Unit, School of Health and Related Research, The University of Sheffield, Sheffield, UK
| | - Nicholas Embleton
- Newcastle Neonatal Service, Ward 35 Neonatal Unit, Royal Victoria Infirmary, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Anthony Richard Hart
- Department of Paediatric and Perinatal Neurology, Sheffield Children's NHS Foundation Trust, Sheffield, UK
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Ren JY, Zhu M, Wang G, Gui Y, Jiang F, Dong SZ. Quantification of Intracranial Structures Volume in Fetuses Using 3-D Volumetric MRI: Normal Values at 19 to 37 Weeks' Gestation. Front Neurosci 2022; 16:886083. [PMID: 35645723 PMCID: PMC9133784 DOI: 10.3389/fnins.2022.886083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveThe purpose of this study is to establish a reference of intracranial structure volumes in normal fetuses ranging from 19 to 37 weeks' gestation (mean 27 weeks).Materials and MethodsA retrospective analysis of 188 MRI examinations (1.5 T) of fetuses with a normal brain appearance (19–37 gestational weeks) from January 2018 to December 2021 was included in this study. Three dimensional (3-D) volumetric parameters from slice-to-volume reconstructed (SVR) images, such as total brain volume (TBV), cortical gray matter volume (GMV), subcortical brain tissue volume (SBV), intracranial cavity volume (ICV), lateral ventricles volume (VV), cerebellum volume (CBV), brainstem volume (BM), and extra-cerebrospinal fluid volume (e-CSFV), were quantified by manual segmentation from two experts. The mean, SD, minimum, maximum, median, and 25th and 75th quartiles for intracranial structures volume were calculated per gestational week. A linear regression analysis was used to determine the gestational weekly age-related change adjusted for sex. A t-test was used to compare the mean TBV and ICV values to previously reported values at each gestational week. The formulas to calculate intracranial structures volume derived from our data were created using a regression model. In addition, we compared the predicted mean TBV values derived by our formula with the expected mean TBV predicted by the previously reported Jarvis' formula at each time point. For intracranial volumes, the intraclass correlation coefficient (ICC) was calculated to convey association within and between observers.ResultsThe intracranial volume data are shown in graphs and tabular summaries. The male fetuses had significantly larger VV compared with female fetuses (p = 0.01). Measured mean ICV values at 19 weeks are significantly different from those published in the literature (p < 0.05). Means were compared with the expected TBV generated by the previously reported formula, showing statistically differences at 22, 26, 29, and 30 weeks' gestational age (GA) (all p < 0.05). A comparison between our data-derived formula and the previously reported formula for TBV showed very similar values at every GA. The predicted TBV means derived from the previously reported formula were all within the 95% confidence interval (CI) of the predicted means of this study. Intra- and inter-observer agreement was high, with an intraclass correlation coefficient larger than 0.98.ConclusionWe have shown that the intracranial structural volume of the fetal brain can be reliably quantified using 3-D volumetric MRI with a high degree of reproducibility and reinforces the existing data with more robust data in the earlier second and third stages of pregnancy.
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Affiliation(s)
- Jing-Ya Ren
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ming Zhu
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Guanghai Wang
- Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- MOE-Shanghai Key Laboratory of Children's Environmental Health, School of Medicine, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China
| | - Yiding Gui
- Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- MOE-Shanghai Key Laboratory of Children's Environmental Health, School of Medicine, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China
| | - Fan Jiang
- Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- MOE-Shanghai Key Laboratory of Children's Environmental Health, School of Medicine, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China
| | - Su-Zhen Dong
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Su-Zhen Dong
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Goncalves LF, Lindblade CL, Cornejo P, Patel MC, McLaughlin ES, Bardo DME. Contribution of fetal magnetic resonance imaging in fetuses with congenital heart disease. Pediatr Radiol 2022; 52:513-526. [PMID: 34842935 DOI: 10.1007/s00247-021-05234-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 09/18/2021] [Accepted: 10/25/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Increasing evidence supports an association among congenital heart disease (CHD), structural brain lesions on neuroimaging, and increased risk of neurodevelopmental delay and other structural anomalies. Fetal MRI has been found to be effective in demonstrating fetal structural and developmental abnormalities. OBJECTIVE To determine the contribution of fetal MRI to identifying cardiovascular and non-cardiovascular anomalies in fetuses with CHD compared to prenatal US and fetal echocardiography. MATERIALS AND METHODS We performed a retrospective study of fetuses with CHD identified by fetal echocardiography. Exams were performed on 1.5-tesla (T) or 3-T magnets using a balanced turbo field echo sequence triggered by an external electrocardiogram simulator with a fixed heart rate of 140 beats per minute (bpm). Fetal echocardiography was performed by pediatric cardiologists and detailed obstetrical US by maternal-fetal medicine specialists prior to referral to MRI. We compared the sensitivity of fetal MRI and fetal echocardiography for the diagnosis of cardiovascular anomalies, as well as the sensitivity of fetal MRI and referral US for the diagnosis of non-cardiac anomalies. We performed statistical analysis using the McNemar test. RESULTS We identified 121 anomalies in 31 fetuses. Of these, 73 (60.3%) were cardiovascular and 48 (39.7%) involved other organ systems. Fetal echocardiography was more sensitive for diagnosing cardiovascular anomalies compared to fetal MRI, but the difference was not statistically significant (85.9%, 95% confidence interval [CI] 77.8-94.0% vs. 77.5%, 95% CI 67.7-87.2%, respectively; McNemar test 2.29; P=0.13). The sensitivity of fetal MRI was higher for diagnosing extracardiac anomalies when compared to referral US (84.1%, 95% CI 73.3-94.9% vs. 31.8%, 95% CI 18.1-45.6%, respectively; McNemar test 12.9; P<0.001). The additional information provided by fetal MRI changed prognosis, counseling or management for 10/31 fetuses (32.2%), all in the group of 19 fetuses with anomalies in other organs and systems besides CHD. CONCLUSION Fetal MRI performed in a population of fetuses with CHD provided additional information that altered prognosis, counseling or management in approximately one-third of the fetuses, mainly by identifying previously unknown anomalies in other organs and systems.
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Affiliation(s)
- Luis F Goncalves
- Department of Radiology, Phoenix Children's Hospital, 1919 E. Thomas Road, Phoenix, AZ, 85016, USA.
- University of Arizona College of Medicine, Phoenix, AZ, USA.
- Department of Radiology, Creighton University, Phoenix, AZ, USA.
- Department of Radiology, Mayo Clinic, Phoenix, AZ, USA.
| | - Christopher L Lindblade
- University of Arizona College of Medicine, Phoenix, AZ, USA
- Department of Radiology, Creighton University, Phoenix, AZ, USA
- Department of Radiology, Mayo Clinic, Phoenix, AZ, USA
- Department of Cardiology, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Patricia Cornejo
- Department of Radiology, Phoenix Children's Hospital, 1919 E. Thomas Road, Phoenix, AZ, 85016, USA
- University of Arizona College of Medicine, Phoenix, AZ, USA
- Department of Radiology, Creighton University, Phoenix, AZ, USA
- Department of Radiology, Mayo Clinic, Phoenix, AZ, USA
| | - Mittun C Patel
- Department of Radiology, Phoenix Children's Hospital, 1919 E. Thomas Road, Phoenix, AZ, 85016, USA
- University of Arizona College of Medicine, Phoenix, AZ, USA
- Department of Radiology, Creighton University, Phoenix, AZ, USA
- Department of Radiology, Mayo Clinic, Phoenix, AZ, USA
| | - Ericka Scheller McLaughlin
- University of Arizona College of Medicine, Phoenix, AZ, USA
- Department of Radiology, Creighton University, Phoenix, AZ, USA
- Department of Radiology, Mayo Clinic, Phoenix, AZ, USA
- Department of Cardiology, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Dianna M E Bardo
- Department of Radiology, Phoenix Children's Hospital, 1919 E. Thomas Road, Phoenix, AZ, 85016, USA
- University of Arizona College of Medicine, Phoenix, AZ, USA
- Department of Radiology, Creighton University, Phoenix, AZ, USA
- Department of Radiology, Mayo Clinic, Phoenix, AZ, USA
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Dovjak GO, Zalewski T, Seidl-Mlczoch E, Ulm PA, Berger-Kulemann V, Weber M, Prayer D, Kasprian GJ, Ulm B. Abnormal Extracardiac Development in Fetuses With Congenital Heart Disease. J Am Coll Cardiol 2021; 78:2312-2322. [PMID: 34857093 DOI: 10.1016/j.jacc.2021.09.1358] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/26/2021] [Accepted: 09/13/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND Knowledge about extracardiac anomalies (ECA) in fetal congenital heart disease (CHD) can improve our understanding of the developmental origins of various outcomes in these infants. The prevalence and spectrum of ECA, including structural brain anomalies (SBA), on magnetic resonance imaging (MRI) in fetuses with different types of CHD and at different gestational ages, is unknown. OBJECTIVES The purpose of this study was to evaluate ECA rates and types on MRI in fetuses with different types of CHD and across gestation. METHODS A total of 429 consecutive fetuses with CHD and MRI between 17 and 38 gestational weeks were evaluated. ECA and SBA rates were assessed for each type of CHD and classified by gestational age (<25 or ≥25 weeks) at MRI. RESULTS Of all 429 fetuses with CHD, 243 (56.6%) had ECA on MRI, and 109 (25.4%) had SBA. Among the 191 fetuses with normal genetic testing results, the ECA rate was 54.5% and the SBA rate 19.4%. Besides SBA, extrafetal (21.2%) and urogenital anomalies (10.7%) were the most prevalent ECA on MRI in all types of CHD. Predominant SBA were anomalies of hindbrain-midbrain (11.0% of all CHD), dorsal prosencephalon (10.0%) development, and abnormal cerebrospinal fluid spaces (10.5%). There was no difference in the prevalence or pattern of ECA between early (<25 weeks; 45.7%) and late (≥25 weeks; 54.3%) fetal MRI. CONCLUSIONS ECA and SBA rates on fetal MRI are high across all types of CHD studied, and ECA as well as SBA are already present from midgestation onward.
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Affiliation(s)
- Gregor O Dovjak
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Vienna, Austria
| | - Tim Zalewski
- Department of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Elisabeth Seidl-Mlczoch
- Department of Pediatrics and Adolescent Medicine, Division of Pediatric Cardiology, Medical University of Vienna, Vienna, Austria
| | - Patricia A Ulm
- Department of Chromosome Biology, University of Vienna, Vienna, Austria
| | - Vanessa Berger-Kulemann
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Vienna, Austria
| | - Michael Weber
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Daniela Prayer
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Vienna, Austria
| | - Gregor J Kasprian
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Vienna, Austria
| | - Barbara Ulm
- Department of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria.
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Coppola G, Morris J, Gutierrez-Quintana R, Burnside S, José-López R. Comparison of response assessment in veterinary neuro-oncology and two volumetric neuroimaging methods to assess therapeutic brain tumour responses in veterinary patients. Vet Comp Oncol 2021; 20:404-415. [PMID: 34792828 DOI: 10.1111/vco.12786] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 11/11/2021] [Indexed: 12/13/2022]
Abstract
Standardized veterinary neuroimaging response assessment methods for brain tumours are lacking. Consequently, a response assessment in veterinary neuro-oncology (RAVNO) system which uses the sum product of orthogonal lesion diameters on 1-image section with the largest tumour area, has recently been proposed. In this retrospective study, 22 pre-treatment magnetic resonance imaging (MRI) studies from 18 dogs and four cats with suspected intracranial neoplasia were compared by a single observer to 32 post-treatment MRIs using the RAVNO system and two volumetric methods based on tumour margin or area delineation with HOROS and 3D Slicer software, respectively. Intra-observer variability was low, with no statistically significant differences in agreement index between methods (mean AI ± SD, 0.91 ± 0.06 for RAVNO; 0.86 ± 0.08 for HOROS; and 0.91 ± 0.05 for 3D slicer), indicating good reproducibility. Response assessments consisting of complete or partial responses, and stable or progressive disease, agreed in 23 out of 32 (72%) MRI evaluations using the three methods. The RAVNO system failed to identify changes in mass burden detected with volumetric methods in six cases. 3D Slicer differed from the other two methods in three cases involving cysts or necrotic tissue as it allowed for more accurate exclusion of these structures. The volumetric response assessment methods were more precise in determining changes in absolute tumour burden than RAVNO but were more time-consuming to use. Based on observed agreement between methods, low intra-observer variability and decreased time constraint, RAVNO might be a suitable response assessment method for the clinical setting.
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Affiliation(s)
- Giovanni Coppola
- School of Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Joanna Morris
- School of Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Rodrigo Gutierrez-Quintana
- School of Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Shona Burnside
- School of Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Roberto José-López
- School of Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
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12
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Abstract
Following the improvements in the clinical management of patients with congenital heart disease (CHD) and their increased survival, neurodevelopmental outcome has become an emerging priority in pediatric cardiology. Large-scale efforts have been made to protect the brain during the postnatal, surgical, and postoperative period; however, the presence of brain immaturity and injury at birth suggests in utero and peripartum disturbances. Over the past decade, there has been considerable interest and investigations on fetal brain growth in the setting of CHD. Advancements in fetal brain imaging have identified abnormal brain development in fetuses with CHD from the macrostructural (brain volumes and cortical folding) down to the microstructural (biochemistry and water diffusivity) scale, with more severe forms of CHD showing worse disturbances and brain abnormalities starting as early as the first trimester. Anomalies in common genetic developmental pathways and diminished cerebral substrate delivery secondary to altered cardiovascular physiology are the forefront hypotheses, but other factors such as impaired placental function and maternal psychological stress have surfaced as important contributors to fetal brain immaturity in CHD. The characterization and timing of fetal brain disturbances and their associated mechanisms are important steps for determining preventative prenatal interventions, which may provide a stronger foundation for the developing brain during childhood.
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Affiliation(s)
- Fu-Tsuen Lee
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Canada.,Division of Cardiology, Department of Paediatrics, Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Mike Seed
- Division of Cardiology, Department of Paediatrics, Hospital for Sick Children, University of Toronto, Toronto, Canada.,Department of Diagnostic Imaging, Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Liqun Sun
- Division of Cardiology, Department of Paediatrics, Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Davide Marini
- Division of Cardiology, Department of Paediatrics, Hospital for Sick Children, University of Toronto, Toronto, Canada
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13
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Ren JY, Zhu M, Dong SZ. Three-Dimensional Volumetric Magnetic Resonance Imaging Detects Early Alterations of the Brain Growth in Fetuses With Congenital Heart Disease. J Magn Reson Imaging 2021; 54:263-272. [PMID: 33559371 DOI: 10.1002/jmri.27526] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/29/2020] [Accepted: 12/30/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Several published studies have shown alterations of brain development in third-trimester fetuses with congenital heart disease (CHD). However, little is known about the timing and pattern of altered brain development in fetuses with CHD. PURPOSE To investigate the changes in the volume of intracranial structures in fetuses with CHD by three-dimensional (3D) volumetric magnetic resonance imaging (MRI) in the earlier stages of pregnancy (median gestational age [GA], 26 weeks). STUDY TYPE Retrospective. POPULATION Forty women carrying a fetus with CHD (including 20 fetuses with GA <26 weeks) and 120 pregnant women carrying a healthy fetus (including 50 fetuses with GA <26 weeks). FIELD STRENGTH/SEQUENCE Two-dimensional single-shot turbo spin echo sequence at 1.5 -T. ASSESSMENT Three-dimensional volumetric parameters from slice-to-volume registered images, including cortical gray matter volume (GMV), subcortical brain tissue volume (SBV), intracranial cavity volume (ICV), lateral ventricles volume (VV), cerebellum, brainstem, and extra-cerebrospinal fluid (e-CSF) were quantified by manual segmentation from one primary and two secondary observers. STATISTICAL TESTS Volumes were presented graphically with quadratic curve fitting. Scatterplots were produced mapping volumes against GA in normal and CHD fetuses. For GA <26 weeks, Z scores were calculated and Student's t-tests were conducted to compare volumes between the normal and CHD fetuses. RESULTS In fetuses with CHD GMV, SBV, cerebellum, and brainstem were significantly reduced (all P < 0.05) in early stages of pregnancy (GA <26 weeks), with differences becoming progressively greater with increasing GA. Compared with normal fetuses, e-CSF, e-CSF to ICV ratio, and VV were higher in fetuses with CHD (all P < 0.05). However, ICV volume and the GMV to SBV ratio were not significantly reduced in the CHD group (P = 0.94 and P = 0.13, respectively) during the middle gestation (GA <26 weeks). DATA CONCLUSION There appear to be alterations of brain development trajectory in CHD fetuses that can be detected by 3D volumetric MRI in the earlier stages of pregnancy. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Jing-Ya Ren
- Department of Radiology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ming Zhu
- Department of Radiology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Su-Zhen Dong
- Department of Radiology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
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14
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Abstract
Fetal cardiovascular MRI is showing promise as a clinical diagnostic tool in the setting of congenital heart disease when the cardiac anatomy is unresolved by US or when complementary quantitative data on blood flow, oxygen saturation and hematocrit are required to aid in management. Compared with postnatal cardiovascular MRI, prenatal cardiovascular MRI still has some technical limitations. However, ongoing technical advances continue to improve the robustness and usability of fetal cardiovascular MRI. In this review, we provide an overview of the state of the art of fetal cardiovascular MRI and summarize the current focus of clinical application for this versatile technique.
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Cai S, Zhang G, Zhang H, Wang J. Normative linear and volumetric biometric measurements of fetal brain development in magnetic resonance imaging. Childs Nerv Syst 2020; 36:2997-3005. [PMID: 32468242 DOI: 10.1007/s00381-020-04633-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 04/16/2020] [Indexed: 12/17/2022]
Abstract
PURPOSE To provide normative two-dimensional and three-dimensional measurements of brain development in normal fetuses during the second and third trimester by a new semi-automated method. METHODS In this retrospective study, we included 98 normal fetuses at our institution between 21 and 38 weeks of gestation. Two-dimensional measurements of the brain were including biparietal diameter, occipitofrontal diameter, head circumference, transverse cerebellar diameter, and atrial diameter. Volumetric parameters were obtained by using ITK-SNAP software, including left and right cerebral hemispheres, lateral ventricle, the cerebellum, and extracerebral cerebrospinal fluid. RESULTS All linear and volume measurements were positively correlated with gestational age except for cerebrospinal fluid. Each anatomical region of the fetal brain showed a different relative growth rate. There was some volume asymmetry between the left and right lateral ventricles, and the left side was larger. The inter-observer and intra-observer agreement was excellent for all measures. CONCLUSION We established the 5th, 50th, and 95th percentile values of fetal brain volume measurements in magnetic resonance, and this may be helpful to understand the damage of fetal brain development.
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Affiliation(s)
- Shulei Cai
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China
| | - Guofu Zhang
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China.
| | - He Zhang
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China
| | - Jing Wang
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China
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