Beyond fetal magnetic resonance diagnosis of corpus callosum agenesis

Rania S. M. Ibrahim; S. Emad-Eldin

doi:10.1186/s43055-020-00182-6

Research
Open Access
Published: 08 May 2020

Beyond fetal magnetic resonance diagnosis of corpus callosum agenesis

Rania S. M. Ibrahim^1,2 &
S. Emad-Eldin³

Egyptian Journal of Radiology and Nuclear Medicine volume 51, Article number: 75 (2020) Cite this article

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Abstract

Background

Corpus callosum agenesis (CCA) is a midline congenital anomaly. Routine prenatal 2D ultrasonography (2D US) can suggest CCA. A definitive diagnosis and identification of more subtle associated neurological or non-neurological abnormalities are difficult to be detected by prenatal 2D US; therefore, a further study by fetal magnetic resonance imaging (MRI) is needed. This study highlights the role and evaluates the diagnostic value of fetal MRI in the diagnosis of CCA and identifying the associated anomalies, which is a prognostic of the postnatal developmental outcome.

Results

Out of 27 fetuses that were suspected to have CCA on prenatal US, fetal MRI diagnosed 25/27 fetuses (92.5%) with CCA, while the last 2/27 (7.5%) were ruled out; being false positive (FP) on prenatal US, they had normal corpus callosum (CC). Cases diagnosed as CCA were either complete 77.7% (n = 21) or partial agenesis 14.8% (n = 4). They were classified as followed: Only 5/25 (18.5%) had isolated CCA, while the majority 20/25 (74%) of CCA were complex form associated with other anomalies (most of them 14 cases (70%) associated with other neurological anomalies, while 4 cases (20%) associated with other non-neurological anomalies, and last 2 cases (10%) were having both anomalies). The diagnostic performance of fetal MRI in diagnosis of CCA was as follows: sensitivity 100%, specificity 67%, positive predictive value (PPV) 96%, negative predictive value (NPV) 100%, and accuracy 96.3%. The sensitivity of the detection of associated neurological abnormalities was 100% by fetal MRI for 75% by 2D US.

Conclusion

The prevalence of the complex CCA is higher than the isolated form. Fetal MRI is a valuable adjunctive complementary imaging to prenatal 2D US with high diagnostic performance in the diagnosis of fetuses with CCA. It confirms the diagnosis, assesses the extent of agenesis, and detects coexisting anomalies, which is a prognostic of the postnatal developmental outcome.

Background

Corpus callosum (CC) is a major commissures structure in the human brain that consists of white matter tract with millions of myelinated nerve fibers; it connects both cerebral hemispheres. It is composed of four parts: the rostrum, genu, body, and splenium; the isthmus which is the narrow region between the body and splenium [1]. The development of CC starts between 8 to 11 gestational weeks (GW) in humans, and it is complete in its craniocaudal extent by 18 to 19 GW when it is detected in prenatal imaging [2]. It can be considered fully developed by about 4 years of the child’s age. However, further maturation and growth continue throughout life but at a slower rate [3]. Congenital anomalies of CC can be classified as complete agenesis, partial and hypoplasia [4]. The prevalence of CCA is about 0.1 to 0.7% in the general population and 2.3% in the developmentally disabled population [2]. The exact etiology is unknown. However, a number of reasons are incriminated including genetic factors; metabolic disorders or developmental insults to the developing brain, including infectious diseases [i.e., toxoplasma, rubella, cytomegalovirus, and herpes], or vascular disorders [2].

Isolated CCA is uncommon. In most cases, a prenatally detected CCA is commonly associated with other neurological or non-neurological malformations [2]. The associated neurological malformations are frequently present, and it is the most important prognostic predictors of the postnatal neurological deficits [5]. Routine prenatal 2D US can suggest CCA which relies on detection of indirect signs such as absent cavum septi pellucidi (CSP), ventriculomegaly, widening of the interhemispheric fissure, colpocephaly, high riding 3rd ventricle, and lack of the pericallosal arteries are evident [6]. With the advent of ultrafast T2 imaging techniques, fetal MRI allows better direct visualization of the CC on a midline sagittal image. Moreover, it allows detection of subtle neurological abnormalities that are prognostic indicators for the postnatal neurodevelopmental outcome [7]. This study emphasizes the diagnostic value of fetal MRI in the detection of CCA and identification of the associated neurological and non-neurological anomalies, which give insight on the postnatal developmental outcome.

Methods

Patients

The current study prospectively enrolled 27 pregnant females; 26 cases were singleton pregnancies, and 1 case was dichorionic diamniotic twin pregnancy with 1 fetus suspected to have CCA. They were referred from Fetal Obstetric Ultrasound Unit to Radiology Department with suspected CCA based on prenatal US for further evaluation by fetal MRI. This study has been carried out between January 2018 and December 2019. The maternal ages ranged from 17 to 41 years with a mean ± SD (29.5 ± 5.97 years) and gestational age (GA) based on last menstrual period; it ranged from 20 to 37 GW with a mean ± SD (31 GW and 4 days ± 5.2 GW).

Inclusion criteria

The affected twin of the dichorionic diamniotic twin pregnancy.
Incidentally discovered or suspected fetus with CCA monitored by fetal US, especially those fetuses with limited US examination (e.g., maternal obesity, oligohydramnios, fetal position).
Fetuses with suspected associated congenital anomalies which were not adequately assessed by US.

Exclusion criteria:

Fetuses with other central nervous system (CNS) malformations other than CCA.
Pregnant female in the 1st trimester; (MRI examination is not recommended during organogenesis and due to a small-sized fetus with excessive motion artifact).
Patients with contraindications for fetal MRI; (e.g., a pacemaker, aneurysm clip, or metallic foreign body)
Patients who refused the examination.

Imaging

Patients were advised to fast for 4 h before the examination to reduce bowel peristalsis artifacts and to prevent postprandial fetal motion. Also, patients were advised to empty the urinary bladder immediately before undergoing fetal MRI to prevent the urinary urge during the examination. All metallic objects were removed. No contrast agents or sedation (maternal or fetal) was used. All fetal MR examinations were performed using two MRI 1.5 T superconducting scanners (Intera, Philips Medical Systems, Best, Netherlands and Magnetom Aera, Siemens Healthineers, Germany). A multi-channel phased array torso coil was used to allow increase signal to noise ratio, increased coverage of the fetal head, and improve the image quality. Patients were positioned in the supine position (if < 30 weeks) or in left lateral position (if > 30 weeks) to allow comfort of the patient during the examination with feet first and ear plugs were offered. The examination time ranged from 20 to 30 min. First maternal scout images were obtained using true fast imaging with steady-state free precession sequence using 6-mm slices in the maternal coronal, axial, and sagittal planes. These images are used to position the subsequent high-resolution sequences adapted to the position of the fetus. This was followed by T1-weighted images (WI) sequence of the brain in axial plane. It was used to detect hemorrhage or fat, sub-ependymal nodules, and calcifications.

Ultra-fast T2-WI single-shot fast spin echo (SSFSE) and balanced fast field of echo (B-FFE) were the mainstay of the examinations and were acquired during maternal breath holding in the axial, sagittal, and coronal planes. Whenever possible, imaging was repeated in each plane until adequate images were obtained. The following imaging parameters were used: TE = shortest (up to 2 ms), TR = shortest (up to 4 ms), slice thickness of 2–4 mm with a 0–2 mm gap, large FOV = 300–450 mm, flip angle = 60–90^○, number of excitations = 6–18, and matrix about 1.5–mm in-plane resolution with 18–20 sequentially acquired imaging slices. All fetal MR images were reviewed by 2 pediatric radiologists (S.E.EL. and R.I. with more than 10 years’ experience). Fetal MRI readers were blinded to the exact clinical history and prenatal US results at the time of review. In this study, CC shape, signal intensity, and length were evaluated. Prenatal diagnosis of complete CCA was established in the absence of its visualization in mid-sagittal plane, and a diagnosis of partial CCA was diagnosed at numerical values of the length of the CC, less than the 5th percentile of normative indices by Parazzini et al. [8] were considered for pregnancies between 18 and 22 weeks, and those of Garel et al. [9] were utilized for pregnancies between 22 and 37 weeks. Follow-up information about the outcome of the pregnancy, postnatal MRI studies, and autopsy results were reviewed. This study was approved by the hospital research ethics committee. All patients were counseled and signed a consent form.

Statistical analysis

Data were coded and entered using the Statistical Package for Social Sciences, (SPSS 20) (Inc., Chicago, IL, USA). Data were summarized using range, mean, and standard deviation, in the quantitative data, using frequency (count) and relative frequency (percentage) in the categorical data. Standard diagnostic indices including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy were calculated.

Results

A total of 27 pregnant females participated in this study. The maternal age ranged from 17 to 41 years with a mean 29.5 years (SD = ± 5.97), and the GA ranged from 20 to 37 WG, with a mean 31 WG and 4 days (SD±5.2 WG). Concerning the maternal obstetric history, the majority 20 cases were multi-gravida (74%). Regarding their consanguinity, only 9 (33.3%) had positive consanguinity. Concerning the previous history of fetal CNS anomalies, only 5 (18.5%) gave history of previous CNS anomalies. Regarding the fetal gender, the majority were males, 19 fetuses (70.3%); demographic data are presented in Table 1. The fate of pregnancy was 5 cases (18.5%) underwent termination of pregnancy (abortion), 2 cases (7.5%) had intra-uterine fetal death, while the majority 20 cases (74%) continued their pregnancy to the 37th WG.

Table 1 Demographic details of pregnant females participated in the study

Full size table

Out of 27 fetuses who were suspected to have CCA on prenatal US, fetal MRI diagnosis agreed with prenatal US in 25/27 fetuses (92.5%); they had CCA, while there were disagreements, FP on prenatal US in 2/27 (7.5%), as they had normal CC by pre- and postnatal MRI. They were classified into either complete 77.7% (n = 21) or partial agenesis 14.8% (n = 4) (Fig. 1). Regarding their association with other anomalies, only 5/25 (18.5%) had isolated CCA, while the majority 20/25 (74%) of CCA cases were complex form associated with other anomalies (most of them 14 cases (70%) associated with other neurological anomalies, while only 4 cases (20%) associated with other non-neurological anomalies, and the last 2 cases (10%) had both anomalies) (Fig. 2).

In this study there were 19/27 cases (70.4%) that had ventriculomegaly (Fig. 3). Regarding the detection of associated neurological anomalies, the sensitivity of fetal MRI was 100% compared to 75% in prenatal US; fetal MRI identified all 16 cases that had other neurological anomalies in the form of; 6/16 cases (37.5%) had inter-hemispheric cyst (IHC) (Fig. 4), 5 cases (31.3%) had neural tube defect (NTD) (Figs. 5, 6, 7, 8, 9, 10, and 11), 5/16 cases (31.3%) had cerebellarhemispheric and/ or vermian hypoplasia (Figs. 4 and 6), 3 cases (18.8%) had tonsillar herniation (Fig. 5), 3 cases (18.8%) had delayed and abnormal cerebral sulcation (Figs. 4, 5, and; 8), 1 case (6.3%) had periventricular germinal matrix hemorrhage (GMH) (Fig. 5), 1 case with microcephalic skull (6.3%) and 1 case brain stem hypoplasia (6.3%) (Table 2). anomalies, they were identified equally by prenatal US and MRI in 5 cases. In one case, MRI added additional findings in the diagnosis of associated non-neurological anomalies which were missed by prenatal US. The associated non-neurological findings were renal abnormalities (Fig. 3), thick nuchal fold, skeletal abnormalities (Fig. 2), duodenal atresia with polyhydramnios, and last case with a diaphragmatic hernia illustrated in Table 2.

Table 2 Fetal MRI distribution of neurological and non-neurological findings in CCA cases associated with other anomalies

Full size table

Upon correlating the fetal MRI findings to the final diagnoses (autopsy or postnatal MRI), 24 cases (88.9%) were true positive (TP); two cases (7.5%) were false positive (FP) by US (7.5%), being true negative (TN) by MRI. MRI did not miss the diagnosis in any of the cases false negative (FN = 0). While one case (3.7%) was FP diagnosed. Based on the previous findings, the diagnostic performance of fetal MRI in diagnosis of CCA was as follows: sensitivity 100%, specificity 67%, PPV 96%, NPV 100, and accuracy 96.3% (Fig. 11).

Discussion

The extent of CC malformation varies from partial to complete agenesis or just hypoplasia; its thickness decreases along all its parts. In partial agenesis, the posterior part is not developed. However, cases of anterior agenesis have also been reported [10]. In CCA, identification of indirect signs of CCA in the axial planes of scanning allows suspecting this pathology. In order to make the final diagnosis, it is necessary to assess CC in the middle sagittal plane [7]. Fetal MRI allows better direct visualization of the CC. Moreover, the increased contrast resolution of fetal MRI allows detection of subtle CNS abnormalities that are prognostic indicators for the postnatal neurodevelopmental outcome [7]. Many disciplines, including obstetric, perinatology, genetics, pediatric surgery, and neurology, are involved in fetal MRI; therefore, the future of fetal MRI can be achieved through multidisciplinary collaborative team [11].

A total of 27 pregnant females participated in this study according to the inclusion criteria suspected to have CCA on prenatal US. The maternal age ranged from 17 to 41 years with a mean 29.5 years (SD = ± 5.97). The complete development of CC is around 18 to 19 GW when it is detected in prenatal imaging [2]. Therefore, in this study the GA ranged from 20 to 37 WG; with a mean 31 WG and 4 days (SD± 5.2 WG). Concerning the maternal obstetric history, most of the pregnant females, 20 cases, were multi-gravida (74%), while only 7 cases (26%) were primi-gravida. Regarding their consanguinity, only 9 (33.3%) had positive consanguinity, while the majority 18 cases (66.7%) were not relatives. Concerning the previous history of fetal CNS anomalies; only 5 (18.5%) gave history of previous CNS anomalies in their offsprings. Regarding the fetal gender, the majority were males, 19 fetuses (70.3%) while 8 fetuses (29.7 %) were females; these were coinciding with a study conducted by Manganaro et al. [12]: they revealed that the average maternal age was 32.7 years (SD = ± 5.8), male fetuses were more numerous than female fetuses. Considering the fate of pregnancy, Manganaro et al. [12] found that 27% were terminated; 5.8% were stillbirths; and 22% were born. In the current study, 5 cases (18.5%) underwent termination of pregnancy (abortion), 2 cases (7.5%) had intra-uterine fetal death, while the majority 20 cases (74%) continued their pregnancy to 37th WG.

Out of 27 fetuses who were suspected to have CCA on prenatal US, fetal MRI diagnosis agreed with prenatal US in 25/27 fetuses (92.5%); they had CCA, while there were disagreements in 2/27 (7.5%) FP on prenatal US; they had normal CC by pre- and postnatal MRI. A study conducted by Sakar et al. [13] suspected 21% CC abnormality by US. MRI confirmed in about 83% of cases while in rest (16.7%), it disproved US diagnosis.

In the current study, CCA were classified into either complete 77.7% (n = 21) or partial agenesis 14.8% (n = 4), and no hypoplastic cases. This was in accordance with Rüland et al. [14]; they diagnosed complete agenesis in 76 %, partial agenesis 14 %, and a hypoplastic CC in 9 % of cases.

The classification of CCA can be either an isolated anomaly or associated with other abnormalities: neurological or non- neurological anomalies. This study observed that only 5/27 (18.5%) had isolated CCA, while the majority 20/27 (74%) were complex form and associated with other anomalies. This was concordance with a study done by Manganaro et al. [12]; they revealed that fetal MRI demonstrated isolated CCA in 26.9%, while the majority of the cohort about 73.1% CCA was associated with other anomalies. Another study done by Rüland et al. [14] that found about 29 % was isolated and 71 % was non-isolated form. However, these results are higher than what had been reported in a previous study done by Tang et al. [15]; they found that only 7% of cases of CCA were isolated by fetal MRI; this may be due to the younger GA and increased number of fetuses in their study.

Ventriculomegaly was not considered an additional finding because dilatation of the atria of the lateral ventricle (more than 10 mm) can be attributed to callosal agenesis; it is the main feature of isolated CCA. In this study, there were 19/27 cases (70.4%) that had ventriculomegaly; one of them shows abnormal morphology of the lateral ventricle involving the posterior horn, which is incompletely formed, being deformed in shape, with undulations along its margin, and focally dilated due to communicating with porencephalic cyst.

For cases diagnosed to have complex form of CCA, they are classified into: most of them 14 cases (70%) associated with other neurological anomalies, while only 4 cases (20%) associated with other non-neurological anomalies, and the last 2 cases (10%) had both anomalies.

The most common associated neurological finding was IHC about 6/16 cases (37.5%), 5 cases (31.3%) had NTD, 5/16 cases (31.3%) of cerebellar hemispheres and vermian hypoplasia, 3 cases (18.8%) had tonsillar herniation, 3 cases (18.8%) had delayed and abnormal cerebral sulcation, 1 case (6.3%) had periventricular GMH, 1 case with microcephalic skull (6.3%), and 1 case brain stem hypoplasia (6.3%). The sensitivity of fetal MRI compared to prenatal US in detection of neurological abnormalities was 100%, while 2D US was 75%. In a study conducted by Tang et al. [15], fetal MRI identified abnormalities not detected by prenatal sonography in most (83%) patients; this difference is higher than that detected with current study in which fetal MRI findings coincided with that observed by prenatal US in 12 cases (75%). However, MRI added additional information to the US findings in 4 cases only (25%) in the form of: 1 case with small dorsal IHC, vermian hypoplasia, and small occipital meningocele; 2 cases with tonsillar descent (1 case was Chiari I associated with frontal encephalocele, abnormal sulcation, and hemimegalencephaly), the other case with small sacral meningocele (Chiari II).

A study done by Manganaro et al. [12] found that 39.5% of cases had cortical developmental defects by fetal MRI. In another study conducted by Tang et al. [15], they observed that 42.8% of cases had abnormal sulcal morphology, with gyral malformations. However, in the current study, only 3 cases (18.8%) had delayed and abnormal cerebral sulcation. Therefore, more sensitive methods such as 3D morphometric study, diffusion-weighted, and diffusion tensor imaging might detect other sulcal abnormality cases.

Posterior fossa abnormalities were also a common additional finding, in the form of 5/16 cases (31.3%) of cerebellar and/or vermian hypoplasia, 3 cases (18.8%) of tonsillar herniation, and 2 cases (12.5%) of occipital meningocele/encephalocele. This was in agreement with a study done by Manganaro et al. [12]; they confirmed that fetal MRI detected associated cerebellar malformations in 30%. They also revealed that fetal MRI-diagnosed CCA with cerebellar hemispheric abnormalities were more common than vermian abnormalities; they stated that it may be due to the difficulty in evaluating the fetal vermis or due to termination of those cases with prenatally diagnosed cerebellar abnormalities. However, in current study, fetal MRI diagnosed CCA with both cerebellar hemispheric abnormalities and vermian abnormalities equally.

In the current study, the most common finding was IHC, 6/16 cases (37.5%), while the least association was periventricular GMH and a microcephalic skull each represented in 1 case only (6.3%). In a study conducted by Manganaro et al. [12], they detected that about 19.7% had IHCs and only 9.2% had microcephaly.

Regarding the associated non-neurological anomalies, Manganaro et al. [12] found that 22.4% had thoracoabdominal, 18.4% had musculoskeletal, 17% had craniofacial, and 14.5% had cardiac malformations. However, in this study, they were identified equally by prenatal US and MRI in 5 cases. In the last case that had both neurological and non-neurological anomalies, MRI added additional findings in the diagnosis of associated non-neurological anomalies (hypoplastic lung and bilateral small eye globes) which were missed by prenatal US. The most common non-neurological anomalies were renal abnormalities represented in 2 cases; one case in the form of renal pelvic dilatation while the other was bilateral enlarged multicystic kidneys (Meckel-Gruber syndrome), it also had combined anomalies/associated neurological anomalies, which were enlarged posterior fossa showing large cyst which is communicating with the 4th ventricle, as well as small occipital meningocele, hypoplastic laterally displaced cerebellar hemispheres with absent cerebellar vermis, widely separated occipital horns of the lateral ventricles, 1 case with thick nuchal fold (Down syndrome), 1 case of a duodenal atresia with subsequent polyhydramnios, 1 case of a diaphragmatic hernia, and last case with skeletal abnormalities (bilateral talipes equiovarus and clenched hands). It also had combined anomalies/associated neurological anomalies in the form of large dorsal IHC, also diffusely delayed sulcation pattern, enlarged retrocerebellar space with small cerebellar hemispheres, absent inferior vermis, and hypoplastic brain stem.

Prenatal detection of CCA presents a challenge as the US signs may be very subtle or appear late after the second-trimester scans [15]. Many studies, such as Wagenvoort et al. [16] and Malinger et al. [17] concluded that MRI is superior to US, particularly in the diagnosis of callosal anomalies. Raafat et al. [18] studied the prevalence and value of fetal MRI in the diagnosis of midline cerebral anomalies. They revealed that 5 cases of partial callosal agenesis were missed by US and diagnosed by MRI. The diagnostic accuracy for detecting failed commissuration was 86.49% for US and 100% for MRI. In the current study, upon correlating the fetal MRI findings to the final diagnoses, 24 cases (88.9%) were true positive (TP) and two cases (7.5%) were false positive (FP) by US (7.5%), being true negative (TN) by MRI as they had a normal CC. MRI did not miss the diagnosis in any of the cases false negative (FN = 0). While one case (3.7%) was FP diagnosed as isolated partial CCA, which was having a normal CC in postnatal MRI. The diagnostic performance of fetal MRI in diagnosis of CCA was as follows: sensitivity 100%, specificity 67%, PPV 96%, NPV 100, and accuracy 96.3% to accuracy of 88.8% for prenatal US.

Superior soft tissue contrast, relative operator independence, and a large field of view of fetal MRI make it a valuable adjunctive complementary imaging to prenatal 2D US with high diagnostic performance in fetuses with CCA. However, MRI still has some disadvantages which include fetal motion artifact which affects image quality and its ability to obtain a true sagittal plane, although it is reduced significantly by using the ultrafast MR techniques; poorer spatial resolution than US; high cost; and lack of expertise. MRI showed superior value to US in diagnosis of IHC, vermian abnormalities, tonsillar herniation, NTD, and abnormal cerebral sulcation. While in non-neurological anomalies MRI was superior in detection of hypoplastic lung and small eye globes. The result is not a technical advantage of the imaging method but due to the fact that fetal MRI examination is always done for a specific organ of concern not for whole fetal body; however, prenatal US is used for screening the whole body for fetal anomalies.

This study highlights the diagnostic value of the fetal MRI in the diagnosis of CCA; it has the ability to prognosticate the developmental outcome through detection of associated anomalies and allows informing the family about the neurodevelopmental outcome of the child. Therefore, continuous extended broad researches of fetal MRI of CCA should be done, and longer follow-up is needed because behavioral and cognitive difficulties may not be detected until school age.

The study is limited by the fact that it included only fetuses with prenatal US diagnosis of CCA and excluded the cases with other brain anomalies; also, the study relied on the prenatal US diagnosis; which depend on the judgment of obstetrician whose learning curve was probably variable as US is an operator-dependent study. Furthermore, the readers were from the same institution; therefore, some variability in results if other institutions replicated the work cannot be ruled out. Finally, fetal MRI was performed at many different GA, which is likely affecting the sensitivity of fetal MRI for CCA diagnosis; thus, performing fetal MRI at a consistent GA would probably give a better idea of the accuracy of the study.

Conclusion

The prevalence of the complex CCA is higher than the isolated form. US is the main primary survey; however, MRI can add more additional information; it confirms the diagnosis, assesses the extent of agenesis, and detects coexisting anomalies; which is a prognostic of the postnatal developmental outcome.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

CCA:: Corpus callosum agenesis
2D US:: 2D ultrasonography
MRI:: Magnetic resonance imaging
CC:: Corpus callosum
GW:: Gestational weeks
NPV:: Negative predictive value
PPV:: Positive predictive value
GA:: Gestational age
CSP:: Cavum septi pellucidi
WI:: Weighted images
SSFSE:: Single-shot fast spin echo
B-FFE:: Balanced fast field of echo
CNS:: Central nervous system
IHC:: Inter-hemispheric cyst
GMH:: Germinal matrix hemorrhage
NTD:: Neural tube defect
TP:: True positive
TN:: True negative
FP:: False positive
FN:: False negative

References:

1.
Raybaud CH (2010) The corpus callosum, the other great forebrain commissures, and the septum pellucidum: anatomy, development, and malformation. Neuroradiology 52(6):447–477
Article Google Scholar
2.
Glenn OA, Goldstein RB, Li KC, Young SJ, Norton ME, Busse RF, Goldberg JD et al (2005) Fetal magnetic resonance imaging in the evaluation of fetuses referred for sonographically suspected abnormalities of the corpus callosum. J Ultrasound Med. 24(6):791–804
Article Google Scholar
3.
Tanaka-Arakawa MM, Matsui M, Noguchi K (2015) Developmental changes in the corpus callosum from infancy to early adulthood: a structural magnetic resonance imaging study. Public Liberary of Science 10(7):1–13
Google Scholar
4.
Kazi IYAI, Kazi SE (2015) Antenatal diagnosis of corpus callosal agenesis. J. Fetal Med. 2:87–90
Article Google Scholar
5.
Moutard M. L., Kieffer V., Feingold J., Billette TH., Lewin F., Baron J.M. (2012) Isolated corpus callosum agenesis: a ten-year follow-up after prenatal diagnosis (How are the children without corpus callosum at 10 years of age?. Prenatal Diagnosis 32(3):277-283.
6.
Paladini D, Pastore G, Cavallaro A, Massaro M, Nappi C (2013) Agenesis of the fetal corpus callosum: sonographic signs change with advancing gestational age. Ultrasound Obstet Gynecol 42:687–690
CAS Article Google Scholar
7.
Glenn OA (2010) MR imaging of the fetal brain. Pediatr Radiol 40:68–81
Article Google Scholar
8.
Parazzini C, Righini A, Rustico M, Consonni D, Triulzi F (2008) Prenatal magnetic resonance imaging: brain normal linear biometric values below 24 gestational weeks. Neuroradiology 50(10):877–883
CAS Article Google Scholar
9.
Garel C (2004) MRI of the fetal brain: normal development and cerebral pathologies, pathology of the midline cap. Springer, Berlin:131–149
10.
Radhouane A, Khaled N (2016) Corpus callosum agenesis: role of fetal magnetic resonance imaging. Asian Pacific Journal of Reproduction 5(3):263–265
Article Google Scholar
11.
Da Silva NA, Vassallo J, Sarian LO, Cognard CH, Sevely A (2018) Magnetic resonance imaging of the fetal brain at 3 Tesla. Preliminary experience from a single series. Medicine 97(40):1–6
Article Google Scholar
12.
Manganaro L, Bernardo S, De Vito C, Antonelli A, Marchionni E, Vinci V et al (2017) Role of fetal MRI in the evaluation of isolated and non-isolated corpus callosum dysgenesis: results of a cross-sectional study. Prenatal Diagnosis 37:244–252
Article Google Scholar
13.
Sarkar P (2017) Fetal magnetic resonance imaging: a problem solving tool in antenatally detected fetal anomalies and abnormalities. Int J Sci Study. 4(10):142–147
Google Scholar
14.
Rüland AM, Berg C, Gembruch U, Geipel A (2016) Prenatal diagnosis of anomalies of the corpus callosum over a 13-year period. Ultraschall Med. 37(6):598–603
PubMed Google Scholar
15.
Tang AI, Bartha ME, Norton AJ, Barkovich EH, Glenn OA (2009) Agenesis of the corpus callosum: an MR imaging analysis of associated abnormalities in the fetus. Am J Neuroradiol 30:257–263
CAS Article Google Scholar
16.
Wagenvoort AM, Bekker MN, Go AT, Vandenbussche FB, van Buchem VJ, van Vugt JM (2000) Ultrafast scan magnetic resonance in prenatal diagnosis. Fetal Diagn Ther 15:364–372
CAS Article Google Scholar
17.
Malinger G, Ben-Sira L, Lev D, Ben-Aroya Z, Kidron D, Lerman-Sagie T (2004) Fetal brain imaging: a comparison between magnetic resonance imaging and dedicated neurosonography. Ultrasound Obstet Gynecol 23:333–340
CAS Article Google Scholar
18.
Raafat MER, Tamer M, Abdelrahman TM, Hafez MAF (2020) The prevalence and the adding value of fetal MRI imaging in midline cerebral anomalies. Egyp J Radiol Nuclear Med 51(31):1–8
Google Scholar

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Acknowledgements

The authors wish to acknowledge the assistance of Obstetric and pediatric departments’ staff, for their contribution to patient data collection.

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Affiliations

Diagnostic and Intervention Radiology Department (Pediatric Unit), Faculty of Medicine, Cairo University, Kasr Al-aini Street, Al-manial District, Cairo, Egypt
Rania S. M. Ibrahim
Giza, Egypt
Rania S. M. Ibrahim
Diagnostic and Intervention Radiology Department (Pediatric Unit), Cairo University Hospitals, Kasr Al-aini Street, Al-manial District, Cairo, Egypt
S. Emad-Eldin

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Rania S. M. Ibrahim
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Contributions

All authors have read and approved the manuscript.

- Study concept: S.E.E

- Study design: R.I., S.E.E.

- Data acquisition: R.I.

- Data analysis and interpretation: S.E.E., R.I.

- Statistical analysis: R.I.

- Manuscript preparation: R.I.

- Manuscript editing: R.I.

- Manuscript reviewing: R.I, S.E.E.

Corresponding author

Correspondence to Rania S. M. Ibrahim.

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Ethics approval and consent to participate

This study was approved by Radiology Department Kasr Alaini Cairo University hospital research ethics committee. Number: not available. Written informed consent was signed by patients.

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All patients included in this research gave written informed consent to publish the data contained within this study.

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“The authors declare that they have no competing interests.”

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Ibrahim, R.S.M., Emad-Eldin, S. Beyond fetal magnetic resonance diagnosis of corpus callosum agenesis. Egypt J Radiol Nucl Med 51, 75 (2020). https://doi.org/10.1186/s43055-020-00182-6

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Received: 19 February 2020
Accepted: 15 April 2020
Published: 08 May 2020
DOI: https://doi.org/10.1186/s43055-020-00182-6

Keywords

Fetal brain
Magnetic resonance imaging
Corpus callosum agenesis