Evidence map›Paper›PMID 27619814›Full record

ArticleIndian journal of pediatrics2017

Correlation among Magnetic Resonance Imaging Parameters of Brain in Preterm Neonates at Term Equivalent Age.

Umamaheswari Balakrishnan, Prakash Amboiram, Binu Ninan, Anupama Chandrasekar, Rajeswaran Rangasami

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Article in Indian journal of pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Umamaheswari BalakrishnanDepartment of Neonatology, Sri Ramachandra Medical College and Research Institute, Porur, Chennai, 600116, India. drumarajakumar@gmail.com.
Prakash AmboiramDepartment of Neonatology, Sri Ramachandra Medical College and Research Institute, Porur, Chennai, 600116, India.
Binu NinanDepartment of Neonatology, Sri Ramachandra Medical College and Research Institute, Porur, Chennai, 600116, India.
Anupama ChandrasekarDepartment of Radiology, Sri Ramachandra Medical College and Research Institute, Porur, Chennai, 600116, India.
Rajeswaran RangasamiDepartment of Radiology, Sri Ramachandra Medical College and Research Institute, Porur, Chennai, 600116, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the spectrum of Magnetic Resonance Imaging (MRI) abnormalities among preterm babies at term equivalent age using objective scoring and to study the association among MRI variables.

methodsNinety-four preterm babies born at ≤32 wk of gestation and / or birth weight ≤ 1500 g at term equivalent age who underwent cranial MRI between April 2011 and August 2012 and the MRI interpreted by experienced radiologists were studied. In 2014, the MRI was retrospectively re-interpreted by the same radiologists using an objective scoring system described by Kidokoro. Spectrum of MRI abnormalities, their association with perinatal variables and correlation among white matter (WM), grey matter and cerebellar scores were analyzed.

resultsMRI abnormalities observed were WM signal abnormality (24 %), lateral ventricular dilatation (16 %), WM cystic abnormality (13 %), deep grey matter signal abnormality (9 %), cerebellar volume reduction (9 %) and deep grey matter volume reduction (8 %). Sepsis was significantly associated with occurrence of WM and cerebellar abnormalities (p < 0.05). WM scores did not show significant correlation with cortical grey matter and deep grey matter scores while cerebellar scores showed a weak positive correlation with WM (r = 0.33), cortical grey matter (r = 0.27) and deep grey matter scores (r = 0.22).

conclusionsMRI abnormalities are common in preterm infants, with 60 % showing some abnormality at term equivalent age. Among perinatal characteristics, sepsis was identified as risk factor for WM and cerebellar injury. Grey matter abnormality occurs independent of WM abnormality. Cerebellar abnormalities appear to coexist with either WM or grey matter changes.

Indexed as

BrainFemaleGestational AgeHumansIndiaInfant, Low Birth WeightInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleRetrospective StudiesGrey matterIndiaMRIPretermWhite matter

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.