We read with great interest the study by Du et al, which introduces the thickness of the frontal lobe as a prenatal biomarker for neurodevelopmental outcomes in fetuses with reduced head circumference.1 The authors are to be commended for incorporating both retrospective and prospective data across multiple centers, and for rigorously validating the reproducibility of the thickness of the frontal lobe and foramen magnum-to-cranium distance through intraclass correlation coefficient analysis. The use of a mid-sagittal imaging protocol strengthens the applicability of the measurement in standard prenatal neurosonography. One important clinical concern arises from the potential circularity in outcome classification. The authors group fetuses based on adverse neurodevelopmental outcomes, many of which include malformations of cortical development. However, this introduces the possibility that reduced frontal lobe thickness is not a predictive marker but merely a reflection of the cortical abnormalities that define the poor outcome group itself. In such a setting, the observed high specificity may be tautological.2 A more robust analytic design would involve assessing the predictive performance of the frontal lobe measurement independent of the malformations used to assign outcome status. Additionally, while the correlation between thickness of the frontal lobe and gestational age is clearly demonstrated, the relationship between frontal lobe thickness and head circumference is not contextualized with respect to clinical thresholds for concern. For example, it remains unclear whether fetuses with a head circumference between 2 and 3 standard deviations but with normal frontal lobe thickness consistently achieve normal neurodevelopment, or whether a reduced frontal lobe thickness alone is sufficient to warrant escalation of counseling. These distinctions hold significant implications for clinical decision-making and parental guidance in ambiguous cases. The statistical modeling strategy also invites further scrutiny. The use of second-order polynomial regression to derive gestational-age-adjusted reference ranges may limit interpretability in individual cases,3 particularly when gestational dating is uncertain. Incorporating a centile-based classification model or quantile regression may improve generalizability across varying populations and imaging platforms. Moreover, the limited diagnostic sensitivity observed (35.7%) for both vertical parameters indicates that a normal thickness of the frontal lobe cannot reliably rule out adverse outcomes, especially in the absence of malformations. This restricts its utility as a standalone screening tool. We commend the authors for establishing normative vertical cranial measurements and for emphasizing the clinical value of anterior brain assessment. The inclusion of frontal lobe thickness as an adjunct to head circumference may enhance the specificity of prenatal neurodevelopmental risk prediction. Future prospective studies with uniform postnatal imaging, standardized developmental assessments, and stratification by etiology will be instrumental in confirming the independent prognostic role of frontal lobe thickness in fetal microcephaly. Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.
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Mahida et al. (Thu,) studied this question.
synapsesocial.com/papers/69a76808badf0bb9e87e352f — DOI: https://doi.org/10.1002/jum.70198
Kishankumar Mahida
Dr. D. Y. Patil Medical College, Hospital and Research Centre
Snehal S. Jagtap
Government Medical College
Journal of Ultrasound in Medicine
Dr. D. Y. Patil Medical College, Hospital and Research Centre
Dr. D.Y. Patil Vidyapeeth, Pune
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