“ROLE OF FETAL MRI IN EVALUATION OF CONGENITAL ANOMALIES”
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Published:2022-09-15
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Volume:
Page:25-29
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ISSN:
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Container-title:PARIPEX INDIAN JOURNAL OF RESEARCH
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language:en
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Short-container-title:PIJR
Author:
Rani K Radha1, Kavitha P.2, Xavier Arockia3
Affiliation:
1. M.D.R.D., Professor and HOD, Kurnool Medical college, Kurnool. 2. M.D.R.D., Assistant Professor, Kurnool Medical college, Kurnool. 3. M.D.R.D., Kurnool Medical college, Kurnool.
Abstract
When US evaluation of the second and third-trimester foetus is limited, MR imaging might be used as a supplemental
test. Due to a lack of an acceptable acoustic window, US is often limited in cases of oligohydramnios or breech
presentation. In both cases, however, MR imaging can clearly show the foetal anatomy in detail. Ossification of the
calvaria[1], which inhibits view of the posterior fossa at US, can also impede third trimester foetal assessment. US
frequently suggests intracranial pathologic abnormalities such as posterior fossa anomalies (Chiari II syndrome,
cerebellar aplasia or hypoplasia). MR imaging can corroborate the US findings, and it can also provide a diagnosis in
some circumstances, such as neuronal migrational anomalies. MR imaging certainly has the advantage of being able to
analyse the foetus in many planes within a greater field of view. T1-weighted MR imaging can show acute and chronic
germinal matrix bleeding, as well as ischemia alterations. Although ultrasound is helpful in detecting corpus callosum
abnormalities, it can miss many of the central nervous system problems associated with corpus callosum agenesis.
Because the prognosis of agenesis of the corpus callosum is so unpredictable, detecting concomitant central system
defects on MR imaging can help with prenatal and postnatal medical care. Although the majority of prenatal MR imaging
applications are related to the cranial nervous system, new developments in foetal surgical intervention have expanded
the utility of foetal MR imaging in thoracoabdominal illness detection. Fetal MR imaging can help diagnose
abnormalities such congenital cystic adenomatoid malformation, congenital diaphragmatic hernia, cystic hygroma, and
bronchopulmonary sequestration. Accurate assessment of foetal lung and liver sizes is critical in foetal surgical planning
and postnatal prognosis in the case of congenital diaphragmatic hernia. Some high-risk pregnancies may also benefit
from obstetric MR imaging, according to preliminary research. With a combination of foetal weight estimates and liver
volume measurements, birth weight may be correctly predicted and the diagnosis of intrauterine growth retardation or
macrosomia can be made with confidence.
Publisher
World Wide Journals
Subject
Catalysis,General Chemistry,Catalysis,Physical and Theoretical Chemistry,Catalysis,General Chemistry,Catalysis,Mechanics of Materials,Materials Science (miscellaneous),Analytical Chemistry,Catalysis,Earth-Surface Processes,Cardiology and Cardiovascular Medicine,General Arts and Humanities,Economics, Econometrics and Finance (miscellaneous),Public Administration,Geography, Planning and Development,Physical and Theoretical Chemistry
Reference15 articles.
1. Coakley FV, Glenn OA, Qayyum A, Barkovich AJ, Goldstein R, Filly RA. Fetal MRI: a developing technique for the developing patient. American Journal of Roentgenology. 2004 Jan;182(1):243-52. 2. Xia W, Kasprian G, Hu D, Xiao P, Yang W, Chen X. Different information by MRI compare to ultrasound in fetal intracranial space occupying lesions. Child's Nervous System. 2017 Dec;33(12):2129-36. 3. Brix L, Ringgaard S, Sandager P, Petersen OB, Sørensen TS, Lundorf E, Stausbøl‐Grøn B. Overcoming foetal motion using interactive real‐time magnetic resonance imaging. Clinical physiology and functional imaging. 2017 Nov;37(6):717-22. 4. Gentillon H, Stefańczyk L, Strzelecki M, Respondek-Liberska M. Parameter set for computer-assisted texture analysis of fetal brain. BMC research notes. 2016 Dec;9(1):1-8. 5. Griffiths PD, Jarvis D. In utero MR imaging of fetal holoprosencephaly: a structured approach to diagnosis and classification. American Journal of Neuroradiology. 2016 Mar 1;37(3):536-43.
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