Correlation of Transcranial Ultrasound and Magnetic Resonance Imaging in Evaluation of Imaging Patterns of Clinically Diagnosed Hypoxic Ischaemic Encephalopathy in Neonates

Giri, Susmita; Sau, Raman; Das, Sudipto; Runa, Das; Sur, Priyadarshini; Mondal, Ananya; Haldar, Rajatsubhra; Hazra, Sudhish

doi:10.18410/jebmh/2020/205

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…These findings were consistent with a study by Giri et al (22) , in which the overall sensitivity and specificity of TCUS in detecting imaging findings in 50 neonates with HIE were 78.57% and 62.50%, respectively. This study's findings also showed that TCUS had a diagnostic accuracy of 76%, a positive predictive value of 91.60%, and a negative predictive value of 35.70%.…”

Section: Discussionsupporting

confidence: 92%

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Role of Trans-cranial Ultrasonography and Color Doppler in Diagnosis and Grading of Neonatal Hypoxic–Ischemic Encephalopathy

Anany,

Elrakhawy,

Zarad

et al. 2023

Medicine Updates

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Objective: To evaluate the role of trans-cranial ultrasound and trans-cranial Doppler of the anterior and middle cerebral arteries in diagnosis and grading of hypoxic ischemic encephalopathy (HIE). Methods:The study was conducted on 26 cases and 26 controls in the neonatal intensive care unit incubator of Al-Salam Hospital and at Al-Nasr hospital in Port Said governorate in Egypt. Each patient was subjected to full history taking, clinical examination, and transcranial ultrasound examination e.g., anterior cerebral artery and middle cerebral artery blood flow parameters using color Doppler flow image (CDFI), color Doppler energy (CDE), pulsed wave Doppler and measuring RI of both arteries. Results:In 26 cases and 26 controls, there was statistically significant negative correlation between MCA RI and presence of HIE, and Apgar score. There was statistically significant positive correlation between MCA RI and both periventricular leukomalacia, and Periventricular leukomalacia grade.There was statistically significant negative correlation between ACA RI and presence of HIE, and Apgar score, and statistically significant positive correlation between ACA RI and both of periventricular leukomalacia, periventricular leukomalacia grade, and Sarnat stages of HIE.The mean right-side MCA, left-side MCA, and mean average MCA in control group were statistically significantly higher than the study group. Conclusion:The newborn brain can be evaluated with trans-cranial ultrasonography and transcranial Doppler. For displaying the most typical types of cerebral damage in preterm neonates, gauging the lesion's progression, and monitoring brain growth, they are safe and reliable approaches. Early transcranial Doppler ultrasonography should be performed on neonates with HIE to predict the course of their clinical treatment.

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Section: Discussionsupporting

confidence: 92%

“…In a similar vein, Giri et al (22) discovered that the overall sensitivity and specificity of TCUS were 81.8% and 60%, respectively, with an overall diagnostic accuracy of 78.9% in identifying brain abnormalities. 93.1 was the positive predictive value, while 33.3 was the negative predictive value (95% confidence interval).…”

Section: Discussionmentioning

confidence: 90%

Role of Trans-cranial Ultrasonography and Color Doppler in Diagnosis and Grading of Neonatal Hypoxic–Ischemic Encephalopathy

Anany,

Elrakhawy,

Zarad

et al. 2023

Medicine Updates

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“…Previous studies on HIE in the brain mainly relied on the subjective assessment of physicians based on the density of brain ultrasound images of newborns [17][18][19]. The assessment was done by comparing two ultrasound images: the choroid plexus and the brain parenchyma.…”

Section: Ultrasound Image Processingmentioning

confidence: 99%

Neurosonographic Classification in Premature Infants Receiving Omega-3 Supplementation Using Convolutional Neural Networks

Zivojinovic,

Petrovic Savic,

Prodanovic

et al. 2024

Diagnostics

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This study focuses on developing a model for the precise determination of ultrasound image density and classification using convolutional neural networks (CNNs) for rapid, timely, and accurate identification of hypoxic-ischemic encephalopathy (HIE). Image density is measured by comparing two regions of interest on ultrasound images of the choroid plexus and brain parenchyma using the Delta E CIE76 value. These regions are then combined and serve as input to the CNN model for classification. The classification results of images into three groups (Normal, Moderate, and Intensive) demonstrate high model efficiency, with an overall accuracy of 88.56%, precision of 90% for Normal, 85% for Moderate, and 88% for Intensive. The overall F-measure is 88.40%, indicating a successful combination of accuracy and completeness in classification. This study is significant as it enables rapid and accurate identification of hypoxic-ischemic encephalopathy in newborns, which is crucial for the timely implementation of appropriate therapeutic measures and improving long-term outcomes for these patients. The application of such advanced techniques allows medical personnel to manage treatment more efficiently, reducing the risk of complications and improving the quality of care for newborns with HIE.

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Correlation of Transcranial Ultrasound and Magnetic Resonance Imaging in Evaluation of Imaging Patterns of Clinically Diagnosed Hypoxic Ischaemic Encephalopathy in Neonates

Cited by 2 publications

References 6 publications

Role of Trans-cranial Ultrasonography and Color Doppler in Diagnosis and Grading of Neonatal Hypoxic–Ischemic Encephalopathy

Role of Trans-cranial Ultrasonography and Color Doppler in Diagnosis and Grading of Neonatal Hypoxic–Ischemic Encephalopathy

Neurosonographic Classification in Premature Infants Receiving Omega-3 Supplementation Using Convolutional Neural Networks

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