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

Caroline Vande Walle (UGent) , Annelies Keymeulen (UGent) , Anna Oostra (UGent) , Eva Schiettecatte (UGent) , Ingeborg Dhooge (UGent) , Koenraad Smets (UGent) and Nele Herregods (UGent)
(2024) PEDIATRIC RADIOLOGY. 54(2). p.337-346
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Abstract
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.
Keywords
Brain, Cytomegalovirus infection, Hearing loss, Follow-up studies, Magnetic resonance imaging, Newborn, White matter, ABNORMALITIES, ULTRASOUND, SEQUELAE, CHILDREN, HEARING, INFANTS

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MLA
Vande Walle, Caroline, et al. “Apparent Diffusion Coefficient Values of the White Matter in Magnetic Resonance Imaging of the Neonatal Brain May Help Predict Outcome in Congenital Cytomegalovirus Infection.” PEDIATRIC RADIOLOGY, vol. 54, no. 2, 2024, pp. 337–46, doi:10.1007/s00247-023-05838-9.
APA
Vande Walle, C., Keymeulen, A., Oostra, A., Schiettecatte, E., Dhooge, I., Smets, K., & Herregods, N. (2024). Apparent diffusion coefficient values of the white matter in magnetic resonance imaging of the neonatal brain may help predict outcome in congenital cytomegalovirus infection. PEDIATRIC RADIOLOGY, 54(2), 337–346. https://doi.org/10.1007/s00247-023-05838-9
Chicago author-date
Vande Walle, Caroline, Annelies Keymeulen, Anna Oostra, Eva Schiettecatte, Ingeborg Dhooge, Koenraad Smets, and Nele Herregods. 2024. “Apparent Diffusion Coefficient Values of the White Matter in Magnetic Resonance Imaging of the Neonatal Brain May Help Predict Outcome in Congenital Cytomegalovirus Infection.” PEDIATRIC RADIOLOGY 54 (2): 337–46. https://doi.org/10.1007/s00247-023-05838-9.
Chicago author-date (all authors)
Vande Walle, Caroline, Annelies Keymeulen, Anna Oostra, Eva Schiettecatte, Ingeborg Dhooge, Koenraad Smets, and Nele Herregods. 2024. “Apparent Diffusion Coefficient Values of the White Matter in Magnetic Resonance Imaging of the Neonatal Brain May Help Predict Outcome in Congenital Cytomegalovirus Infection.” PEDIATRIC RADIOLOGY 54 (2): 337–346. doi:10.1007/s00247-023-05838-9.
Vancouver
1.
Vande Walle C, Keymeulen A, Oostra A, Schiettecatte E, Dhooge I, Smets K, et al. Apparent diffusion coefficient values of the white matter in magnetic resonance imaging of the neonatal brain may help predict outcome in congenital cytomegalovirus infection. PEDIATRIC RADIOLOGY. 2024;54(2):337–46.
IEEE
[1]
C. Vande Walle et al., “Apparent diffusion coefficient values of the white matter in magnetic resonance imaging of the neonatal brain may help predict outcome in congenital cytomegalovirus infection,” PEDIATRIC RADIOLOGY, vol. 54, no. 2, pp. 337–346, 2024.
@article{01JAWQT79Y2C8HGVB4R6QVPTD5,
  abstract     = {{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.}},
  author       = {{Vande Walle, Caroline and Keymeulen, Annelies and Oostra, Anna and Schiettecatte, Eva and Dhooge, Ingeborg and Smets, Koenraad and Herregods, Nele}},
  issn         = {{0301-0449}},
  journal      = {{PEDIATRIC RADIOLOGY}},
  keywords     = {{Brain,Cytomegalovirus infection,Hearing loss,Follow-up studies,Magnetic resonance imaging,Newborn,White matter,ABNORMALITIES,ULTRASOUND,SEQUELAE,CHILDREN,HEARING,INFANTS}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{337--346}},
  title        = {{Apparent diffusion coefficient values of the white matter in magnetic resonance imaging of the neonatal brain may help predict outcome in congenital cytomegalovirus infection}},
  url          = {{http://doi.org/10.1007/s00247-023-05838-9}},
  volume       = {{54}},
  year         = {{2024}},
}

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