1
|
Johng S, Licht DJ, Hedrick HL, Rintoul N, Linn RL, Gebb JS, Xiao R, Massey SL. Prenatal Brain Maturation is Delayed in Neonates with Congenital Diaphragmatic Hernia. J Pediatr 2024; 264:113738. [PMID: 37722557 DOI: 10.1016/j.jpeds.2023.113738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 08/28/2023] [Accepted: 09/13/2023] [Indexed: 09/20/2023]
Abstract
OBJECTIVE To assess brain development in fetuses with congenital diaphragmatic hernia (CDH) using a fetal Total Maturation Score (fTMS). STUDY DESIGN This is a retrospective cohort study using data from a single-center clinical registry. Neonates with an antenatal diagnosis of CDH between 2014 and 2020 and prenatal brain magnetic resonance imaging (MRI) (n = 48) were included. We compared our study sample with historical healthy controls (n = 48). The relationship between fTMS and gestational age (GA), as well as the association between fTMS and key prenatal variables and placental pathologic findings, were evaluated. RESULTS Compared with healthy controls, neonates with CDH had a significant delay in fTMS (P value <.001). Within the CDH cohort, there was no significant difference in fTMS based on CDH severity, intrathoracic liver position, right vs left CDH, sex, presence of abnormal echocardiogram findings, treatment with extracorporeal membrane oxygenation (ECMO), or in-hospital mortality. Placentas of neonates with CDH had a high proportion of fetal vascular malperfusion (56%) and chronic inflammation (67%), and relatively large placentas had a protective effect on prenatal brain maturation (P value = .025). CONCLUSIONS Prenatal brain maturation in neonates with CDH is delayed. Placental pathology may influence fetal brain development. The etiology and clinical impact of prenatal brain immaturity in neonates with CDH warrant further investigation.
Collapse
Affiliation(s)
- Sandy Johng
- Division of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA.
| | - Daniel J Licht
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Holly L Hedrick
- Division of Pediatric General, Thoracic, and Fetal Surgery, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Natalie Rintoul
- Division of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Rebecca L Linn
- Division of Anatomic Pathology, Perelman School of Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Juliana S Gebb
- Richard D Wood, Jr Center for Fetal Diagnosis and Treatment, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Rui Xiao
- Department of Biostatistics, Epidemiology, and Informatics, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Shavonne L Massey
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA
| |
Collapse
|
2
|
Peng R, Yin X, Liu Y, He M, Wu HL, Xie HN. Development and validation of a predictive model for fetal cerebral maturation using ultrasound for fetuses with normal growth and fetal growth restriction. Quant Imaging Med Surg 2023; 13:8435-8446. [PMID: 38106296 PMCID: PMC10722076 DOI: 10.21037/qims-23-786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 10/11/2023] [Indexed: 12/19/2023]
Abstract
Background Investigation of fetal cerebral maturation (FCM) is necessary and important to provide crucial prognostic information for normal and high-risk fetuses. The study aimed to develop a valid and quantitative predictive model for assessing FCM using ultrasound and validate the model for fetuses with normal and restricted growth. Methods This was a multicenter prospective observational study. Fetuses with normal growth recruited from a university teaching hospital (Center 1) and a municipal maternal unit (Center 2) were included in the training set and external validation set 1, respectively. The 124 growth-restricted fetuses enrolled in Center 1 were included in validation set 2. FCM was used to describe the gestational age (GA) in this study. The model was developed based on the sum of fetal cranial parameters (total fetal cranial parameters), including head circumference (HC) and depths of the insula (INS) and sylvian fissure (SF), parieto-occipital fissure (POF), and calcarine fissure (CF). A regression model, constructed based on total fetal cranial parameters and predicted GA, was established using the training set and validated using external validation set 1 and validation set 2. Results The intra- and interobserver intraclass correlation coefficients for HC, and depths of the INS and SF, POF, and CF were >0.90. An exponential regression equation was used to predict FCM: predicted GA of FCM (weeks) =11.16 × exp (0.003 × total fetal cranial parameters) (P<0.001; adjusted R2=0.973), standard error of estimate, 0.67 weeks. The standard error of the predicted GA of FCM from the model was ±4.7 days. In the validation set 1, the mean standard error of the developed prediction model for FCM was 0.97 weeks. The predictive model showed that FCM was significantly delayed in validation set 2 (2.10±1.31 weeks, P<0.001), considering the GA per the last menstrual period. Conclusions The predictive performance of the FCM model developed in this study was excellent, and the novel model may be a valuable investigative tool during clinical implementation.
Collapse
Affiliation(s)
- Ruan Peng
- Department of Ultrasonic Medicine, Fetal Medical Centre, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xia Yin
- Department of Ultrasonic Medicine, Fetal Medical Centre, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yan Liu
- Department of Ultrasound, Dalian Municipal Women and Children’s Medical Center, Dalian, China
| | - Miao He
- Department of Ultrasonic Medicine, Fetal Medical Centre, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hong-Li Wu
- Department of Ultrasonic Medicine, Fetal Medical Centre, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hong-Ning Xie
- Department of Ultrasonic Medicine, Fetal Medical Centre, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
3
|
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.
Collapse
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.)
| |
Collapse
|
4
|
Schmidbauer VU, Dovjak GO, Yildirim MS, Mayr-Geisl G, Weber M, Diogo MC, Gruber GM, Prayer F, Milos RI, Stuempflen M, Ulm B, Binder J, Bettelheim D, Kiss H, Prayer D, Kasprian G. Mapping Human Fetal Brain Maturation In Vivo Using Quantitative MRI. AJNR Am J Neuroradiol 2021; 42:2086-2093. [PMID: 34503947 DOI: 10.3174/ajnr.a7286] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 07/19/2021] [Indexed: 01/16/2023]
Abstract
BACKGROUND AND PURPOSE On the basis of a single multidynamic multiecho sequence acquisition, SyMRI generates a variety of quantitative image data that can characterize tissue-specific properties. The aim of this retrospective study was to evaluate the feasibility of SyMRI for the qualitative and quantitative assessment of fetal brain maturation. MATERIALS AND METHODS In 52 fetuses, multidynamic multiecho sequence acquisitions were available. SyMRI was used to perform multidynamic multiecho-based postprocessing. Fetal brain maturity was scored qualitatively on the basis of SyMRI-generated MR imaging data. The results were compared with conventionally acquired T1-weighted/T2-weighted contrasts as a standard of reference. Myelin-related changes in T1-/T2-relaxation time/relaxation rate, proton density, and MR imaging signal intensity of the developing fetal brain stem were measured. A Pearson correlation analysis was used to detect correlations between the following: 1) the gestational age at MR imaging and the fetal brain maturity score, and 2) the gestational age at MR imaging and the quantitative measurements. RESULTS SyMRI provided images of sufficient quality in 12/52 (23.08%) (range, 23 + 6-34 + 0) fetal multidynamic multiecho sequence acquisitions. The fetal brain maturity score positively correlated with gestational age at MR imaging (SyMRI: r = 0.915, P < .001/standard of reference: r = 0.966, P < .001). Myelination-related changes in the T2 relaxation time/T2 relaxation rate of the medulla oblongata significantly correlated with gestational age at MR imaging (T2-relaxation time: r = -0.739, P = .006/T2-relaxation rate: r = 0.790, P = .002). CONCLUSIONS Fetal motion limits the applicability of multidynamic multiecho-based postprocessing. However, SyMRI-generated image data of sufficient quality enable the qualitative assessment of maturity-related changes of the fetal brain. In addition, quantitative T2 relaxation time/T2 relaxation rate mapping characterizes myelin-related changes of the brain stem prenatally. This approach, if successful, opens novel possibilities for the evaluation of structural and biochemical aspects of fetal brain maturation.
Collapse
Affiliation(s)
- V U Schmidbauer
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - G O Dovjak
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - M S Yildirim
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | | | - M Weber
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - M C Diogo
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - G M Gruber
- Department of Anatomy and Biomechanics (G.M.G.), Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria
| | - F Prayer
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - R-I Milos
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - M Stuempflen
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - B Ulm
- Obstetrics and Gynecology (B.U., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - J Binder
- Obstetrics and Gynecology (B.U., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - D Bettelheim
- Obstetrics and Gynecology (B.U., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - H Kiss
- Obstetrics and Gynecology (B.U., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - D Prayer
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - G Kasprian
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| |
Collapse
|
5
|
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.
Collapse
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.
| |
Collapse
|
6
|
Haller C. Commentary: The tip of the iceberg: Physiology of congenital cardiac defects and their influence on brain injury. J Thorac Cardiovasc Surg 2020; 162:1020-1021. [PMID: 33129502 DOI: 10.1016/j.jtcvs.2020.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 10/01/2020] [Accepted: 10/01/2020] [Indexed: 10/23/2022]
Affiliation(s)
- Christoph Haller
- Department of Cardiovascular Surgery, The Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
| |
Collapse
|
7
|
Jaimes C, Rofeberg V, Stopp C, Ortinau CM, Gholipour A, Friedman KG, Tworetzky W, Estroff J, Newburger JW, Wypij D, Warfield SK, Yang E, Rollins CK. Association of Isolated Congenital Heart Disease with Fetal Brain Maturation. AJNR Am J Neuroradiol 2020; 41:1525-1531. [PMID: 32646947 DOI: 10.3174/ajnr.a6635] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 04/30/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND PURPOSE Brain MRI of newborns with congenital heart disease show signs of immaturity relative to healthy controls. Our aim was to determine whether the semiquantitative fetal total maturation score can detect abnormalities in brain maturation in fetuses with congenital heart disease in the second and third trimesters. MATERIALS AND METHODS We analyzed data from a prospective study of fetuses with and without congenital heart disease who underwent fetal MR imaging at 25-35 weeks' gestation. Two independent neuroradiologists blinded to the clinical data reviewed and scored all images using the fetal total maturation score. Interrater reliability was evaluated by the intraclass correlation coefficient using the individual reader scores, which were also used to calculate an average score for each subject. Comparisons of the average and individual reader scores between affected and control fetuses and relationships with clinical variables were evaluated using multivariable linear regression. RESULTS Data from 69 subjects (48 cardiac, 21 controls) were included. High concordance was observed between readers with an intraclass correlation coefficient of 0.98 (95% CI, 0.97-0.99). The affected group had significantly lower fetal total maturation scores than the control group (β-estimate, -0.9 [95% CI, -1.5 to -0.4], P = .002), adjusting for gestational age and sex. Averaged fetal total maturation, germinal matrix, myelination, and superior temporal sulcus scores were significantly delayed in fetuses with congenital heart disease versus controls (P < .05 for each). The fetal total maturation score was not significantly associated with any cardiac, anatomic, or physiologic variables. CONCLUSIONS The fetal total maturation score is sensitive to differences in brain maturation between fetuses with isolated congenital heart disease and healthy controls.
Collapse
Affiliation(s)
- C Jaimes
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - V Rofeberg
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts
| | - C Stopp
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts
| | - C M Ortinau
- Pediatrics (C.M.O.), Washington University in St. Louis, St. Louis, Missouri
| | - A Gholipour
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - K G Friedman
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - W Tworetzky
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - J Estroff
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - J W Newburger
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - D Wypij
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts.,Biostatistics (D.W.), Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - S K Warfield
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - E Yang
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts.,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| | - C K Rollins
- From the Departments of Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Cardiology (V.R., C.S., K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Fetal-Neonatal Neuroimaging and Developmental Science Center (C.J.), Boston Children's Hospital, Boston, Massachusetts .,Radiology (C.J., A.G., J.E., S.K.W., E.Y.), Pediatrics (K.G.F., W.T., J.W.N., D.W.), Neurology (C.K.R.), Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
8
|
Govaert P, Triulzi F, Dudink J. The developing brain by trimester. HANDBOOK OF CLINICAL NEUROLOGY 2020; 171:245-289. [PMID: 32736754 DOI: 10.1016/b978-0-444-64239-4.00014-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Transient anatomical entities play a role in the maturation of brain regions and early functional fetal networks. At the postmenstrual age of 7 weeks, major subdivisions of the brain are visible. At the end of the embryonic period, the cortical plate covers the neopallium. The choroid plexus develops in concert with it, and the dorsal thalamus covers about half the diencephalic third ventricle surface. In addition to the fourth ventricle neuroepithelium the rhombic lips are an active neuroepithelial production site. Early reciprocal connections between the thalamus and cortex are present. The corticospinal tract has reached the pyramidal decussation, and the arteries forming the mature circle of Willis are seen. Moreover, the superior sagittal sinus has formed, and at the rostral neuropore the massa commissuralis is growing. At the viable preterm age of around 24 weeks PMA, white matter tracts are in full development. Asymmetric progenitor division permits production of neurons, subventricular zone precursors, and glial cells. Myelin is present in the ventral spinal quadrant, cuneate fascicle, and spinal motor fibers. The neopallial mantle has been separated into transient layers (stratified transitional fields) between the neuroepithelium and the cortical plate. The subplate plays an important role in organizing the structuring of the cortical plate. Commissural tracts have shaped the corpus callosum, early primary gyri are present, and opercularization has started caudally, forming the lateral fissure. Thalamic and striatal nuclei have formed, although GABAergic neurons continue to migrate into the thalamus from the corpus gangliothalamicum. Near-term PMA cerebral sublobulation is active. Between 24 and 32 weeks, primary sulci develop. Myelin is present in the superior cerebellar peduncle, rubrospinal tract, and inferior olive. Germinal matrix disappears from the telencephalon, except for the GABAergic frontal cortical subventricular neuroepithelium.
Collapse
Affiliation(s)
- Paul Govaert
- Department of Neonatology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Neonatology, ZNA Middelheim, Antwerp, Belgium; Department of Rehabilitation and Physical Therapy, Gent University Hospital, Gent, Belgium.
| | - Fabio Triulzi
- Department of Pediatric Neuroradiology, Università Degli Studi di Milano, Milan, Italy
| | - Jeroen Dudink
- Department of Neonatology, University Medical Center, Utrecht, The Netherlands
| |
Collapse
|
9
|
Pittet MP, Vasung L, Huppi PS, Merlini L. Newborns and preterm infants at term equivalent age: A semi-quantitative assessment of cerebral maturity. NEUROIMAGE-CLINICAL 2019; 24:102014. [PMID: 31683202 PMCID: PMC6838895 DOI: 10.1016/j.nicl.2019.102014] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 09/20/2019] [Accepted: 09/23/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND PURPOSE Currently available MRI scoring systems of cerebral maturation in term and preterm infant at term equivalent age do not include the changes of transient fetal compartments that persist to term age. We studied the visibility and the pattern of these structures in healthy term newborns compared to preterm infants at term equivalent age in order to investigate if they can be included in a new MRI score system. We hypothesized that transient fetal compartments are different in both groups, and that these differences can be characterized using the clinical T2-weighted MRIs. MATERIALS AND METHODS Using 3T MRI T2-weighted brain sequences of 21 full-term and 41 preterm infants (< 32 weeks), scanned at term equivalent age, 3 raters independently scored the maturation level of 3 transient fetal compartments: the periventricular crossroads, von Monakow segments of the white matter, and the subplate compartment. These 3 new items were included in a scoring system along with validated parameters of brain maturation (germinal matrix, bands of migration, subarachnoid space and quality of gyrification). A cumulative maturity score was calculated separately for both groups of newborns by adding together each item. More mature were the brain structures, higher was the cumulative maturity score. RESULTS Cumulative maturity score distinguished full-term from preterm infants (mean score 41/60 ± 1.4 versus 37/60 ± 2.5 points, p < 0.001), with an increase of 0.5 points for each supplemental gestational week at birth (r = 0.5, 95% CI 0.5 - 0.85). While a majority of transient fetal compartments were less mature in preterm group at term equivalent age, von Monakow segments of the white matter and subplate compartment presented a more advanced maturational stage in the preterm group compared to the term group. No subject had all scored items in the most mature state. Except a slight intra-rater agreement for von Monakow segment II, inter- and intra-rater agreements were moderate to excellent indicating the potential of the developed scoring system in routine clinical practice. CONCLUSION Brain transient fetal structures can be assessed on regular T2-weighted MRI in newborns. Their appearance differs between term and preterm babies. However our results suggest a more complex situation, with both delayed and accelerated maturation pattern in preterm infants. It remains to be determined if these differences could be biomarkers of the future neurodevelopment of preterm infants.
Collapse
Affiliation(s)
- Marie P Pittet
- Division of Development and Growth, Department of Child and Adolescent Medicine, Geneva University Hospitals, Geneva, Switzerland; Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada.
| | - Lana Vasung
- Division of Development and Growth, Department of Child and Adolescent Medicine, Geneva University Hospitals, Geneva, Switzerland; Division of Newborn Medicine, Department of Paediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | - Petra S Huppi
- Division of Development and Growth, Department of Child and Adolescent Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Laura Merlini
- Paediatric Radiology Unit, Division of Radiology, Geneva University Hospitals, Geneva, Switzerland
| |
Collapse
|
10
|
Ribera I, Ruiz A, Sánchez O, Eixarch E, Antolín E, Gómez-Montes E, Pérez-Cruz M, Cruz-Lemini M, Sanz-Cortés M, Arévalo S, Ferrer Q, Vázquez E, Vega L, Dolader P, Montoliu A, Boix H, Simões RV, Masoller N, Sánchez-de-Toledo J, Comas M, Bartha JM, Galindo A, Martínez JM, Gómez-Roig L, Crispi F, Gómez O, Carreras E, Cabero L, Gratacós E, Llurba E. Multicenter prospective clinical study to evaluate children short-term neurodevelopmental outcome in congenital heart disease (children NEURO-HEART): study protocol. BMC Pediatr 2019; 19:326. [PMID: 31506079 PMCID: PMC6737686 DOI: 10.1186/s12887-019-1689-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 08/26/2019] [Indexed: 12/03/2022] Open
Abstract
Background Congenital heart disease (CHD) is the most prevalent congenital malformation affecting 1 in 100 newborns. While advances in early diagnosis and postnatal management have increased survival in CHD children, worrying long-term outcomes, particularly neurodevelopmental disability, have emerged as a key prognostic factor in the counseling of these pregnancies. Methods Eligible participants are women presenting at 20 to < 37 weeks of gestation carrying a fetus with CHD. Maternal/neonatal recordings are performed at regular intervals, from the fetal period to 24 months of age, and include: placental and fetal hemodynamics, fetal brain magnetic resonance imaging (MRI), functional echocardiography, cerebral oxymetry, electroencephalography and serum neurological and cardiac biomarkers. Neurodevelopmental assessment is planned at 12 months of age using the ages and stages questionnaire (ASQ) and at 24 months of age with the Bayley-III test. Target recruitment is at least 150 cases classified in three groups according to three main severe CHD groups: transposition of great arteries (TGA), Tetralogy of Fallot (TOF) and Left Ventricular Outflow Tract Obstruction (LVOTO). Discussion The results of NEURO-HEART study will provide the most comprehensive knowledge until date of children’s neurologic prognosis in CHD and will have the potential for developing future clinical decisive tools and improving preventive strategies in CHD. Trial registration NCT02996630, on 4th December 2016 (retrospectively registered).
Collapse
Affiliation(s)
- I Ribera
- Department of Obstetrics, Vall d'Hebron University Hospital, Universitat Autònoma De Barcelona, Barcelona, Spain
| | - A Ruiz
- Department of Obstetrics, Vall d'Hebron University Hospital, Universitat Autònoma De Barcelona, Barcelona, Spain
| | - O Sánchez
- Department of Obstetrics, Vall d'Hebron University Hospital, Universitat Autònoma De Barcelona, Barcelona, Spain.,Spain Maternal and Child Health Development Network, RETICS funded by the PN I+D+I 2013-2016 (Spain), ISCIII- Sub-Directorate General for Research Assessment and Promotion and the European Regional Development Fund (ERDF), ref. RD16/0022, Madrid, Spain
| | - E Eixarch
- BCNatal, Hospital Clínic of Barcelona and Hospital Sant Joan de Déu, Barcelona, Spain
| | - E Antolín
- Spain Maternal and Child Health Development Network, RETICS funded by the PN I+D+I 2013-2016 (Spain), ISCIII- Sub-Directorate General for Research Assessment and Promotion and the European Regional Development Fund (ERDF), ref. RD16/0022, Madrid, Spain.,Division of Maternal and Fetal Medicine, Department of Obstetrics and Gynaecology, Hospital Universitario La Paz, Madrid, Spain
| | - E Gómez-Montes
- Spain Maternal and Child Health Development Network, RETICS funded by the PN I+D+I 2013-2016 (Spain), ISCIII- Sub-Directorate General for Research Assessment and Promotion and the European Regional Development Fund (ERDF), ref. RD16/0022, Madrid, Spain.,Hospital Universitario 12 de Octubre, Universidad Computense de Madrid, Madrid, Spain
| | - M Pérez-Cruz
- Spain Maternal and Child Health Development Network, RETICS funded by the PN I+D+I 2013-2016 (Spain), ISCIII- Sub-Directorate General for Research Assessment and Promotion and the European Regional Development Fund (ERDF), ref. RD16/0022, Madrid, Spain.,BCNatal, Hospital Clínic of Barcelona and Hospital Sant Joan de Déu, Barcelona, Spain
| | - M Cruz-Lemini
- Department of Obstetrics, Vall d'Hebron University Hospital, Universitat Autònoma De Barcelona, Barcelona, Spain
| | - M Sanz-Cortés
- BCNatal, Hospital Clínic of Barcelona and Hospital Sant Joan de Déu, Barcelona, Spain
| | - S Arévalo
- Department of Obstetrics, Vall d'Hebron University Hospital, Universitat Autònoma De Barcelona, Barcelona, Spain
| | - Q Ferrer
- Department of Paediatric Cardiology, Vall d'Hebron University Hospital, Universitat Autònoma De Barcelona, Barcelona, Spain
| | - E Vázquez
- Department of Pediatric Radiology,
- Vall d'Hebron University Hospital, Universitat Autònoma De Barcelona, Barcelona, Spain
| | - L Vega
- Department of Paediatric Cardiology, Vall d'Hebron University Hospital, Universitat Autònoma De Barcelona, Barcelona, Spain
| | - P Dolader
- Department of Paediatric Cardiology, Vall d'Hebron University Hospital, Universitat Autònoma De Barcelona, Barcelona, Spain
| | - A Montoliu
- Department of Neuropsicology, Vall d'Hebron University Hospital Barcelona, Barcelona, Spain
| | - H Boix
- Department of Pediatrics, Vall d'Hebron University Hospital, Universitat Autònoma De Barcelona, Barcelona, Spain
| | - R V Simões
- BCNatal, Hospital Clínic of Barcelona and Hospital Sant Joan de Déu, Barcelona, Spain
| | - N Masoller
- BCNatal, Hospital Clínic of Barcelona and Hospital Sant Joan de Déu, Barcelona, Spain
| | - J Sánchez-de-Toledo
- Spain Maternal and Child Health Development Network, RETICS funded by the PN I+D+I 2013-2016 (Spain), ISCIII- Sub-Directorate General for Research Assessment and Promotion and the European Regional Development Fund (ERDF), ref. RD16/0022, Madrid, Spain.,Department of Cardiology, Hospital Sant Joan de Déu, Barcelona, Barcelona, Spain
| | - M Comas
- Universitary Hospital Germans Trias i Pujol, Barcelona, Spain
| | - J M Bartha
- Spain Maternal and Child Health Development Network, RETICS funded by the PN I+D+I 2013-2016 (Spain), ISCIII- Sub-Directorate General for Research Assessment and Promotion and the European Regional Development Fund (ERDF), ref. RD16/0022, Madrid, Spain.,Division of Maternal and Fetal Medicine, Department of Obstetrics and Gynaecology, Hospital Universitario La Paz, Madrid, Spain
| | - A Galindo
- Spain Maternal and Child Health Development Network, RETICS funded by the PN I+D+I 2013-2016 (Spain), ISCIII- Sub-Directorate General for Research Assessment and Promotion and the European Regional Development Fund (ERDF), ref. RD16/0022, Madrid, Spain.,Hospital Universitario 12 de Octubre, Universidad Computense de Madrid, Madrid, Spain
| | - J M Martínez
- BCNatal, Hospital Clínic of Barcelona and Hospital Sant Joan de Déu, Barcelona, Spain
| | - L Gómez-Roig
- Spain Maternal and Child Health Development Network, RETICS funded by the PN I+D+I 2013-2016 (Spain), ISCIII- Sub-Directorate General for Research Assessment and Promotion and the European Regional Development Fund (ERDF), ref. RD16/0022, Madrid, Spain.,BCNatal, Hospital Clínic of Barcelona and Hospital Sant Joan de Déu, Barcelona, Spain
| | - F Crispi
- BCNatal, Hospital Clínic of Barcelona and Hospital Sant Joan de Déu, Barcelona, Spain
| | - O Gómez
- BCNatal, Hospital Clínic of Barcelona and Hospital Sant Joan de Déu, Barcelona, Spain
| | - E Carreras
- Department of Obstetrics, Vall d'Hebron University Hospital, Universitat Autònoma De Barcelona, Barcelona, Spain
| | - L Cabero
- Department of Obstetrics, Vall d'Hebron University Hospital, Universitat Autònoma De Barcelona, Barcelona, Spain
| | - E Gratacós
- BCNatal, Hospital Clínic of Barcelona and Hospital Sant Joan de Déu, Barcelona, Spain
| | - E Llurba
- Spain Maternal and Child Health Development Network, RETICS funded by the PN I+D+I 2013-2016 (Spain), ISCIII- Sub-Directorate General for Research Assessment and Promotion and the European Regional Development Fund (ERDF), ref. RD16/0022, Madrid, Spain. .,Director of Obstetrics and Gynaecology Department, St Creu and St Pau Hospital, Sant Antoni Mª Claret, 167, 08025, Barcelona, Spain.
| |
Collapse
|
11
|
Schmidbauer V, Geisl G, Diogo M, Weber M, Goeral K, Klebermass-Schrehof K, Berger A, Prayer D, Kasprian G. SyMRI detects delayed myelination in preterm neonates. Eur Radiol 2019; 29:7063-7072. [PMID: 31286188 PMCID: PMC6828642 DOI: 10.1007/s00330-019-06325-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 05/28/2019] [Accepted: 06/12/2019] [Indexed: 12/16/2022]
Abstract
OBJECTIVES The software "SyMRI" generates different MR contrasts and characterizes tissue properties based on a single acquisition of a multi-dynamic multi-echo (MDME)-FLAIR sequence. The aim of this study was to assess the applicability of "SyMRI" in the assessment of myelination in preterm and term-born neonates. Furthermore, "SyMRI" was compared with conventional MRI. METHODS A total of 30 preterm and term-born neonates were examined at term-equivalent age using a standardized MRI protocol. MDME sequence (acquisition time, 5 min, 24 s)-based post-processing was performed using "SyMRI". Myelination was assessed by scoring seven brain regions on quantitative T1-/T2-maps, generated by "SyMRI" and on standard T1-/T2-weighted images, acquired separately. Analysis of covariance (ANCOVA) (covariate, gestational age (GA) at MRI (GAMRI)) was used for group comparison. RESULTS In 25/30 patients (83.3%) (18 preterm and seven term-born neonates), "SyMRI" acquisitions were successfully performed. "SyMRI"-based myelination scores were significantly lower in preterm compared with term-born neonates (ANCOVA: T1: F(1, 22) = 7.420, p = 0.012; T2: F(1, 22) = 5.658, p = 0.026). "SyMRI"-based myelination scores positively correlated with GAMRI (T1: r = 0.662, n = 25, p ≤ 0.001; T2: r = 0.676, n = 25, p ≤ 0.001). The myelination scores based on standard MRI did not correlate with the GAMRI. No significant differences between preterm and term-born neonates were detectable. CONCLUSIONS "SyMRI" is a highly promising MR technique for neonatal brain imaging. "SyMRI" is superior to conventional MR sequences in the visual detection of delayed myelination in preterm neonates. KEY POINTS • By providing multiple MR contrasts, "SyMRI" is a time-saving method in neonatal brain imaging. • Differences concerning the myelination in term-born and preterm infants are visually detectable on T1-/T2-weighted maps generated by "SyMRI". • "SyMRI" allows a faster and more sensitive assessment of myelination compared with standard MR sequences.
Collapse
Affiliation(s)
- Victor Schmidbauer
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Gudrun Geisl
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Mariana Diogo
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Michael Weber
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Katharina Goeral
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Katrin Klebermass-Schrehof
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Angelika Berger
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Daniela Prayer
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Gregor Kasprian
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
| |
Collapse
|
12
|
Qi W, Gao S, Liu C, Lan G, Yang X, Guo Q. Diffusion tensor MR imaging characteristics of cerebral white matter development in fetal pigs. BMC Med Imaging 2017; 17:50. [PMID: 28830463 PMCID: PMC5568215 DOI: 10.1186/s12880-017-0205-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 05/03/2017] [Indexed: 01/16/2023] Open
Abstract
Background The purpose of this study was to investigate the anisotropic features of fetal pig cerebral white matter (WM) development by magnetic resonance diffusion tensor imaging, and to evaluate the developmental status of cerebral WM in different anatomical sites at different times. Methods Fetal pigs were divided into three groups according to gestational age: E69 (n = 8), E85 (n = 11), and E114 (n = 6). All pigs were subjected to conventional magnetic resonance imaging (MRI) and diffusion tensor imaging using a GE Signa 3.0 T MRI system (GE Healthcare, Sunnyvale, CA, USA). Fractional anisotropy (FA) was measured in deep WM structures and peripheral WM regions. After the MRI scans,the animals were sacrificed and pathology sections were prepared for hematoxylin & eosin (HE) staining and luxol fast blue (LFB) staining. Data were statistically analyzed with SPSS version 16.0 (SPSS, Chicago, IL, USA). A P-value < 0.05 was considered statistically significant. Mean FA values for each subject region of interest (ROI), and deep and peripheral WM at different gestational ages were calculated, respectively, and were plotted against gestational age with linear correlation statistical analyses. The differences of data were analyzed with univariate ANOVA analyses. Results There were no significant differences in FAs between the right and left hemispheres. Differences were observed between peripheral WM and deep WM in fetal brains. A significant FA growth with increased gestational age was found when comparing E85 group and E114 group. There was no difference in the FA value of deep WM between the E69 group and E85 group. The HE staining and LFB staining of fetal cerebral WM showed that the development from the E69 group to the E85 group, and the E85 group to the E114 group corresponded with myelin gliosis and myelination, respectively. Conclusions FA values can be used to quantify anisotropy of the different cerebral WM areas. FA values did not change significantly between 1/2 way and 3/4 of the way through gestation but was then increased dramatically at term, which could be explained by myelin gliosis and myelination ,respectively.
Collapse
Affiliation(s)
- Wenxu Qi
- Department of Radiology, Shengjing Hospital, China Medical University, Shenyang, 110004, People's Republic of China
| | - Song Gao
- Morphology Teaching and Reasearch Section, Liaoning Vocational College of Medcine, Shenyang, 110100, People's Republic of China
| | - Caixia Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital, China Medical University, Shenyang, 110004, People's Republic of China
| | - Gongyu Lan
- Department of Radiology, Shengjing Hospital, China Medical University, Shenyang, 110004, People's Republic of China
| | - Xue Yang
- Department of Obstetrics and Gynecology, Shengjing Hospital, China Medical University, Shenyang, 110004, People's Republic of China
| | - Qiyong Guo
- Department of Radiology, Shengjing Hospital, China Medical University, Shenyang, 110004, People's Republic of China.
| |
Collapse
|
13
|
Andescavage NN, DuPlessis A, McCarter R, Vezina G, Robertson R, Limperopoulos C. Cerebrospinal Fluid and Parenchymal Brain Development and Growth in the Healthy Fetus. Dev Neurosci 2017; 38:420-429. [PMID: 28315866 DOI: 10.1159/000456711] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2016] [Accepted: 01/17/2017] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVE The objective of this study was to apply quantitative magnetic resonance imaging to characterize absolute cerebrospinal fluid (CSF) development, as well as its relative development to fetal brain parenchyma in the healthy human fetus. DESIGN We created three-dimensional high-resolution reconstructions of the developing brain for healthy fetuses between 18 and 40 weeks' gestation, segmented the parenchymal and CSF spaces, and calculated the volumes for the lateral, third, and fourth ventricles; extra-axial CSF space; and the cerebrum, cerebellum, and brainstem. From these data, we constructed normograms of the resulting volumes according to gestational age and described the relative development of CSF to fetal brain parenchyma. RESULTS Each CSF space demonstrated major increases in volumetric growth during the second half of gestation: third ventricle (23-fold), extra-axial CSF (11-fold), fourth ventricle (8-fold), and lateral ventricle (2-fold). Total CSF volume was related to total brain volume (p < 0.01), as was lateral ventricle to cerebral volume (p < 0.01); however, the fourth ventricle was not related to cerebellar or brainstem volume (p = 0.18-0.19). RELEVANCE Abnormalities of the CSF spaces are the most common anomalies of neurologic development detected on fetal screening using neurosonography. Normative values of absolute CSF volume, as well as relative growth in comparison to intracranial parenchyma, provide valuable insight into normal fetal neurodevelopment. These data may provide important biomarkers of early deviations from normal growth, better distinguish between benign variants and early disease, and serve as reference standards for postnatal growth and development in the premature infant.
Collapse
|
14
|
Paddock M, Akram R, Jarvis DA, Armitage P, Song S, Madhuvrata P, Griffiths PD. The assessment of fetal brain growth in diabetic pregnancy using in utero magnetic resonance imaging. Clin Radiol 2017; 72:427.e1-427.e8. [PMID: 28057322 DOI: 10.1016/j.crad.2016.12.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 11/24/2016] [Accepted: 12/07/2016] [Indexed: 02/04/2023]
Abstract
AIM To assess fetal brain growth over the third trimester in pregnant women with diabetes using in utero magnetic resonance imaging (iuMRI) to determine if greater brain growth occurs in type 1 (T1DM) when compared to gestational (GDM) diabetes mellitus. MATERIALS AND METHODS Each consented participant was scanned at three fixed times during the third trimester using iuMRI. One hundred and fifty-seven patients were approached, 48 participants were recruited, and 36 complete data sets were analysed. Three-dimensional (3D) iuMRI volume data sets were manually segmented using software to construct models of the fetal brain from which brain volumes could be calculated. Inter-rater analysis was performed, and volume differences and growth rates were compared between T1DM and GDM. RESULTS Recruitment proved difficult with low uptake and high attrition rates (77.1%). Inter-rater analysis revealed excellent correlation (intraclass correlation coefficient=0.93, p<0.001) and agreement with no significant difference between operators (p=0.194). There was no evidence of increased brain volume in the T1DM group. Growth rates between visit 1 and 3 for T1DM and GDM were not significantly different (p=0.095). CONCLUSION T1DM brain volumes were not significantly larger than GDM volumes and there was no significant divergence of brain growth over the third trimester. Constructing volume models from 3D iuMRI acquisitions is a novel technique that can be used to assess fetal brain growth. No specialist software or knowledge is required. Larger studies attempting to recruit pregnant women in the later stages of pregnancy should employ multicentre recruitment to overcome recruitment difficulties and high attrition rates.
Collapse
Affiliation(s)
- M Paddock
- Academic Unit of Radiology, University of Sheffield, Royal Hallamshire Hospital, Sheffield S10 2JF, UK.
| | - R Akram
- The Medical School, The University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK
| | - D A Jarvis
- Academic Unit of Radiology, University of Sheffield, Royal Hallamshire Hospital, Sheffield S10 2JF, UK
| | - P Armitage
- Academic Unit of Radiology, University of Sheffield, Royal Hallamshire Hospital, Sheffield S10 2JF, UK
| | - S Song
- Department of Diabetes and Endocrinology, Northern General Hospital, Sheffield S5 7AU, UK
| | - P Madhuvrata
- Department of Obstetrics & Gynaecology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S10 2JF, UK
| | - P D Griffiths
- Academic Unit of Radiology, University of Sheffield, Royal Hallamshire Hospital, Sheffield S10 2JF, UK
| |
Collapse
|
15
|
Nagaraj UD, Peiro JL, Bierbrauer KS, Kline-Fath BM. Evaluation of Subependymal Gray Matter Heterotopias on Fetal MRI. AJNR Am J Neuroradiol 2015; 37:720-5. [PMID: 26585262 DOI: 10.3174/ajnr.a4585] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Accepted: 09/08/2015] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND PURPOSE Subependymal grey matter heterotopias are seen in a high proportion of children with Chiari II malformation and are potentially clinically relevant. However, despite its growing use, there is little in the literature describing its detection on fetal MRI. Our aim was to evaluate the accuracy in diagnosing subependymal gray matter heterotopias in fetuses with spinal dysraphism on fetal MR imaging. MATERIALS AND METHODS This study is a retrospective analysis of 203 fetal MRIs performed at a single institution for spinal dysraphism during a 10-year period. Corresponding obstetric sonography, postnatal imaging, and clinical/operative reports were reviewed. RESULTS Of the fetal MRIs reviewed, 95 fetuses were included in our analysis; 23.2% (22/95) were suspected of having subependymal gray matter heterotopias on fetal MR imaging prospectively. However, only 50% (11/22) of these cases were confirmed on postnatal brain MR imaging. On postnatal brain MR imaging, 28.4% (27/95) demonstrated imaging findings consistent with subependymal gray matter heterotopia. Only 40.7% (11/27) of these cases were prospectively diagnosed on fetal MR imaging. CONCLUSIONS Fetal MR imaging is limited in its ability to identify subependymal gray matter heterotopias in fetuses with spinal dysraphism. It is believed that this limitation relates to a combination of factors, including artifacts from fetal motion, the very small size of fetal neuroanatomy, differences in imaging techniques, and, possibly, irregularity related to denudation of the ependyma/subependyma in the presence of spinal dysraphism and/or stretching of the germinal matrix in ventriculomegaly.
Collapse
Affiliation(s)
- U D Nagaraj
- From the Departments of Radiology and Medical Imaging (U.D.N., B.M.K.-F) University of Cincinnati College of Medicine (U.D.N., J.L.P., K.S.B., B.M.K.-F), Cincinnati, Ohio.
| | - J L Peiro
- Pediatric Surgery (J.L.P.) University of Cincinnati College of Medicine (U.D.N., J.L.P., K.S.B., B.M.K.-F), Cincinnati, Ohio
| | - K S Bierbrauer
- Pediatric Neurosurgery (K.S.B.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio University of Cincinnati College of Medicine (U.D.N., J.L.P., K.S.B., B.M.K.-F), Cincinnati, Ohio
| | - B M Kline-Fath
- From the Departments of Radiology and Medical Imaging (U.D.N., B.M.K.-F) University of Cincinnati College of Medicine (U.D.N., J.L.P., K.S.B., B.M.K.-F), Cincinnati, Ohio
| |
Collapse
|
16
|
Gao J, Sun QL, Zhang YM, Li YY, Li H, Hou X, Yu BL, Zhou XH, Yang J. Semi-quantitative assessment of brain maturation by conventional magnetic resonance imaging in neonates with clinically mild hypoxic-ischemic encephalopathy. Chin Med J (Engl) 2015; 128:574-80. [PMID: 25698186 PMCID: PMC4834765 DOI: 10.4103/0366-6999.151646] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Background: Mild hypoxic-ischemic encephalopathy (HIE) injury is becoming the major type in neonatal brain diseases. The aim of this study was to assess brain maturation in mild HIE neonatal brains using total maturation score (TMS) based on conventional magnetic resonance imaging (MRI). Methods: Totally, 45 neonates with clinically mild HIE and 45 matched control neonates were enrolled. Gestated age, birth weight, age after birth and postmenstrual age at magnetic resonance (MR) scan were homogenous in the two groups. According to MR findings, mild HIE neonates were divided into three subgroups: Pattern I, neonates with normal MR appearance; Pattern II, preterm neonates with abnormal MR appearance; Pattern III, full-term neonates with abnormal MR appearance. TMS and its parameters, progressive myelination (M), cortical infolding (C), involution of germinal matrix tissue (G), and glial cell migration bands (B), were employed to assess brain maturation and compare difference between HIE and control groups. Results: The mean of TMS was significantly lower in mild HIE group than it in the control group (mean ± standard deviation [SD] 11.62 ± 1.53 vs. 12.36 ± 1.26, P < 0.001). In four parameters of TMS scores, the M and C scores were significantly lower in mild HIE group. Of the three patterns of mild HIE, Pattern I (10 cases) showed no significant difference of TMS compared with control neonates, while Pattern II (22 cases), III (13 cases) all had significantly decreased TMS than control neonates (mean ± SD 10.56 ± 0.93 vs. 11.48 ± 0.55, P < 0.05; 12.59 ± 1.28 vs. 13.25 ± 1.29, P < 0.05). It was M, C, and GM scores that significantly decreased in Pattern II, while for Pattern III, only C score significantly decreased. Conclusions: The TMS system, based on conventional MRI, is an effective method to detect delayed brain maturation in clinically mild HIE. The conventional MRI can reveal the different retardations in subtle structures and development processes among the different patterns of mild HIE.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - Jian Yang
- Department of Diagnostic Radiology, The First Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China
| |
Collapse
|
17
|
Wu J, Awate SP, Licht DJ, Clouchoux C, du Plessis AJ, Avants BB, Vossough A, Gee JC, Limperopoulos C. Assessment of MRI-Based Automated Fetal Cerebral Cortical Folding Measures in Prediction of Gestational Age in the Third Trimester. AJNR Am J Neuroradiol 2015; 36:1369-74. [PMID: 26045578 DOI: 10.3174/ajnr.a4357] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2014] [Accepted: 12/20/2014] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Traditional methods of dating a pregnancy based on history or sonographic assessment have a large variation in the third trimester. We aimed to assess the ability of various quantitative measures of brain cortical folding on MR imaging in determining fetal gestational age in the third trimester. MATERIALS AND METHODS We evaluated 8 different quantitative cortical folding measures to predict gestational age in 33 healthy fetuses by using T2-weighted fetal MR imaging. We compared the accuracy of the prediction of gestational age by these cortical folding measures with the accuracy of prediction by brain volume measurement and by a previously reported semiquantitative visual scale of brain maturity. Regression models were constructed, and measurement biases and variances were determined via a cross-validation procedure. RESULTS The cortical folding measures are accurate in the estimation and prediction of gestational age (mean of the absolute error, 0.43 ± 0.45 weeks) and perform better than (P = .024) brain volume (mean of the absolute error, 0.72 ± 0.61 weeks) or sonography measures (SDs approximately 1.5 weeks, as reported in literature). Prediction accuracy is comparable with that of the semiquantitative visual assessment score (mean, 0.57 ± 0.41 weeks). CONCLUSIONS Quantitative cortical folding measures such as global average curvedness can be an accurate and reliable estimator of gestational age and brain maturity for healthy fetuses in the third trimester and have the potential to be an indicator of brain-growth delays for at-risk fetuses and preterm neonates.
Collapse
Affiliation(s)
- J Wu
- From the Department of Radiology (J.W., B.B.A., A.V., J.C.G.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - S P Awate
- Department of Computer Science and Engineering (S.P.A.), Indian Institute of Technology Bombay, Mumbai, India
| | - D J Licht
- Neurovascular Imaging Lab (D.J.L.), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - C Clouchoux
- Advanced Pediatric Brain Imaging Research Laboratory (C.C., C.L.), Children's National Medical Center, Washington, DC Departments of Neurology, Radiology, and Pediatrics (C.C., A.J.d.P., C.L.), George Washington University School of Medicine and Health Sciences, Washington, DC
| | - A J du Plessis
- Departments of Neurology, Radiology, and Pediatrics (C.C., A.J.d.P., C.L.), George Washington University School of Medicine and Health Sciences, Washington, DC
| | - B B Avants
- From the Department of Radiology (J.W., B.B.A., A.V., J.C.G.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - A Vossough
- From the Department of Radiology (J.W., B.B.A., A.V., J.C.G.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - J C Gee
- From the Department of Radiology (J.W., B.B.A., A.V., J.C.G.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - C Limperopoulos
- Advanced Pediatric Brain Imaging Research Laboratory (C.C., C.L.), Children's National Medical Center, Washington, DC Departments of Neurology, Radiology, and Pediatrics (C.C., A.J.d.P., C.L.), George Washington University School of Medicine and Health Sciences, Washington, DC
| |
Collapse
|
18
|
Gholipour A, Estroff JA, Barnewolt CE, Robertson RL, Grant PE, Gagoski B, Warfield SK, Afacan O, Connolly SA, Neil JJ, Wolfberg A, Mulkern RV. Fetal MRI: A Technical Update with Educational Aspirations. CONCEPTS IN MAGNETIC RESONANCE. PART A, BRIDGING EDUCATION AND RESEARCH 2014; 43:237-266. [PMID: 26225129 PMCID: PMC4515352 DOI: 10.1002/cmr.a.21321] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Fetal magnetic resonance imaging (MRI) examinations have become well-established procedures at many institutions and can serve as useful adjuncts to ultrasound (US) exams when diagnostic doubts remain after US. Due to fetal motion, however, fetal MRI exams are challenging and require the MR scanner to be used in a somewhat different mode than that employed for more routine clinical studies. Herein we review the techniques most commonly used, and those that are available, for fetal MRI with an emphasis on the physics of the techniques and how to deploy them to improve success rates for fetal MRI exams. By far the most common technique employed is single-shot T2-weighted imaging due to its excellent tissue contrast and relative immunity to fetal motion. Despite the significant challenges involved, however, many of the other techniques commonly employed in conventional neuro- and body MRI such as T1 and T2*-weighted imaging, diffusion and perfusion weighted imaging, as well as spectroscopic methods remain of interest for fetal MR applications. An effort to understand the strengths and limitations of these basic methods within the context of fetal MRI is made in order to optimize their use and facilitate implementation of technical improvements for the further development of fetal MR imaging, both in acquisition and post-processing strategies.
Collapse
Affiliation(s)
- Ali Gholipour
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Judith A Estroff
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Carol E Barnewolt
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Richard L Robertson
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - P Ellen Grant
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Borjan Gagoski
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Simon K Warfield
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Onur Afacan
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Susan A Connolly
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Jeffrey J Neil
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Adam Wolfberg
- Boston Maternal Fetal Medicine, Boston, Massachusetts, USA
| | - Robert V Mulkern
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA
| |
Collapse
|
19
|
Caulo M, Panara V, Tortora D, Mattei PA, Briganti C, Pravatà E, Salice S, Cotroneo AR, Tartaro A. Data-driven grading of brain gliomas: a multiparametric MR imaging study. Radiology 2014; 272:494-503. [PMID: 24661247 DOI: 10.1148/radiol.14132040] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To grade brain gliomas by using a data-driven analysis of multiparametric magnetic resonance (MR) imaging, taking into account the heterogeneity of the lesions at MR imaging, and to compare these results with the most widespread current radiologic reporting methods. MATERIALS AND METHODS One hundred eighteen patients with histologically confirmed brain gliomas were evaluated retrospectively. Conventional and advanced MR sequences (perfusion-weighted imaging, MR spectroscopy, and diffusion-tensor imaging) were performed. Three evaluations were conducted: semiquantitative (based on conventional and advanced sequences with reported cutoffs), qualitative (exclusively based on conventional MR imaging), and quantitative. For quantitative analysis, four volumes of interest were placed: regions with contrast material enhancement, regions with highest and lowest signal intensity on T2-weighted images, and regions of most restricted diffusivity. Statistical analysis included t test, receiver operating characteristic (ROC) analysis, discriminant function analysis (DFA), leave-one-out cross-validation, and Kendall coefficient of concordance. RESULTS Significant differences were noted in age, relative cerebral blood volume (rCBV) in contrast-enhanced regions (cutoff > 2.59; sensitivity, 80%; specificity, 91%; area under the ROC curve [AUC] = 0.937; P = .0001), areas of lowest signal intensity on T2-weighted images (>2.45, 57%, 97%, 0.852, and P = .0001, respectively), restricted diffusivity regions (>2.61, 54%, 97%, 0.808, and P = .0001, respectively), and choline/creatine ratio in regions with the lowest signal intensity on T2-weighted images (>2.07, 49%, 88%, 0.685, and P = .0007, respectively). DFA that included age; rCBV in contrast-enhanced regions, areas of lowest signal intensity on T2-weighted images, and areas of restricted diffusivity; and choline/creatine ratio in areas with lowest signal intensity on T2-weighted images was used to classify 95% of patients correctly. Quantitative analysis showed a higher concordance with histologic findings than qualitative and semiquantitative methods (P < .0001). CONCLUSION A quantitative multiparametric MR imaging evaluation that incorporated heterogeneity at MR imaging significantly improved discrimination between low- and high-grade brain gliomas with a very high AUC (ie, 0.95), thus reducing the risk of inappropriate or delayed surgery, respectively.
Collapse
Affiliation(s)
- Massimo Caulo
- From the Department of Neuroscience and Imaging (M.C., P.A.M., A.R.C., A.T.) and ITAB-Institute of Advanced Biomedical Technologies (M.C., V.P., D.T., P.A.M., C.B., E.P., S.S., A.T.), University G. d'Annunzio, Via Dei Vestini 33, 66100 Chieti, Italy
| | | | | | | | | | | | | | | | | |
Collapse
|