Apparent diffusion coefficient values of the white matter in magnetic resonance imaging of the neonatal brain may help predict outcome in congenital cytomegalovirus infection

• Published in: Pediatric radiology Vol. 54; no. 2; pp. 337 - 346
• Main Authors: Vande Walle, Caroline, Keymeulen, Annelies, Oostra, Anna, Schiettecatte, Eva, Dhooge, Ingeborg, Smets, Koenraad, Herregods, Nele
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-02-2024; Springer Nature B.V
• Subjects: Abnormalities; Brain; Brain - diagnostic imaging; Brain Diseases - pathology; Brain mapping; Child; Cognitive ability; Cytomegalovirus; Cytomegalovirus Infections - congenital; Cytomegalovirus Infections - diagnostic imaging; Diffusion coefficient; Diffusion Magnetic Resonance Imaging - methods; Hearing; Hearing loss; Hearing Loss - pathology; Humans; Imaging; Impairment; Infant, Newborn; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Medical imaging; Medicine; Medicine & Public Health; Neonates; Neuroimaging; Neuroradiology; Nuclear Medicine; Oncology; Original; Original Article; Patients; Pediatrics; Prediction models; Radiology; Regression; Retrospective Studies; Statistical analysis; Substantia alba; Ultrasound; White Matter - diagnostic imaging; Brain; Newborn; Magnetic resonance imaging; Cytomegalovirus infection; White matter; Follow-up studies; Hearing loss
• ISSN: 1432-1998; 0301-0449; 1432-1998
• DOI: 10.1007/s00247-023-05838-9

Background
White matter change is a well-known abnormality in congenital cytomegalovirus (cCMV) infection, but grading remains challenging and clinical relevance unclear.
Objective
To investigate if quantitative measurement of white matter apparent diffusion coefficient (ADC) values in magnetic resonance imaging (MRI) of the neonatal brain can predict outcome in cCMV.
Materials and methods
A retrospective, single-center observational study, including patients with cCMV who had a neonatal brain MRI with diffusion-weighted imaging, was performed between 2007 and 2020. Regions of interest were systematically placed in the white matter on the ADC maps. Two pediatric radiologists independently scored additional brain abnormalities. Outcome measures were neonatal hearing and cognitive and motor development. Statistical analysis included simple and penalized elastic net regression.
Results
Neonatal brain MRI was evaluated in 255 patients (median age 21 days, 25–75 percentiles: 14–28 days, 121 male). Gyral abnormalities were noted in nine patients (3.5%), ventriculomegaly in 24 (9.4%), and subependymal cysts in 58 (22.7%). General white matter ADC was significantly higher in patients with neonatal hearing loss and cognitive and motor impairment (
P
< 0.05). For neonatal hearing loss, simple logistic regression using only general white matter was the best prediction model, with a receiver operating characteristic area under the curve (AUC)=0.76. For cognitive impairment, interacting elastic net regression, including other brain abnormalities and frontoparietal white matter ADC, performed best, with AUC=0.89. For motor impairment, interacting elastic net regression, including other brain abnormalities and deep anterior frontal white matter performed best, with AUC=0.73.
Conclusion
Neonatal white matter ADC was significantly higher in patients with clinical impairments. Quantitative ADC measurement may be a useful tool for predicting clinical outcome in cCMV.
Graphical Abstract