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Updated: Jun 19, 2026

Mouse Models of Periventricular Leukomalacia
Published on: May 18, 2010
Use of Thalamus L-Sign to Differentiate Periventricular Leukomalacia From Neurometabolic Disorders
Sabahattin Yuzkan1, Merve Emecen Sanli2, Merve Balci1
1Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Basaksehir, Istanbul, Turkey.
Insights
The thalamus L-sign on MRI is a valuable indicator for differentiating periventricular leukomalacia from neurometabolic disorders in children. This imaging sign, along with gestational age, demonstrated high accuracy in diagnostic models.
Area of Science:
- Pediatric Neurology
- Neuroradiology
- Neuroimaging
Background:
- Periventricular leukomalacia (PVL) and neurometabolic disorders (NMDs) are significant causes of neurological impairment in children.
- Distinguishing between PVL and NMDs is crucial for appropriate management and prognosis.
- Magnetic resonance imaging (MRI) plays a key role in the diagnosis of these conditions.
Purpose of the Study:
- To evaluate the diagnostic utility of the thalamus L-sign on MRI in differentiating pediatric PVL from NMDs.
- To identify imaging and clinical predictors for distinguishing these two conditions.
Main Methods:
- Retrospective analysis of MRI and clinical data from 50 children with PVL and 52 with NMDs.
- Assessment of the thalamus L-sign (posterolateral thalamus injury) and lobar signal intensity changes.
- Statistical analysis including logistic regression to determine independent predictors.
Main Results:
- The thalamus L-sign was present in 70% of PVL cases but absent in all NMD cases (P < .001).
- Significant differences were observed in gestational age and lobar involvement between the groups (P < .001).
- A logistic regression model incorporating the absence of the thalamus L-sign and gestational age achieved high diagnostic performance (AUC 0.995, accuracy 96.1%).
Conclusions:
- The thalamus L-sign on MRI is a highly specific and sensitive marker for differentiating PVL from NMDs in pediatric patients.
- Gestational age is another independent predictor that aids in distinguishing these conditions.
- The combination of the thalamus L-sign and gestational age offers a robust diagnostic approach.
Purpose:
To assess the diagnostic value of the thalamus L-sign on magnetic resonance imaging (MRI) in distinguishing between periventricular leukomalacia and neurometabolic disorders in pediatric patients.
Methods:
In this retrospective study, clinical and imaging information was collected from 50 children with periventricular leukomalacia and 52 children with neurometabolic disorders. MRI was used to evaluate the L-sign of the thalamus (ie, injury to the posterolateral thalamus) and the lobar distribution of signal intensity changes. Age, sex, gestational age, and level of Gross Motor Function Classification System (only for periventricular leukomalacia) constituted the clinical parameters. Statistical evaluation of group differences for imaging and clinical variables were conducted using univariable statistical methods. The intra- and inter-observer agreement was evaluated using Cohen's kappa. Univariable or multivariable logistic regression was employed for selection of variables, determining independent predictors, and modeling.
Results:
The thalamus L-sign was observed in 70% (35/50) of patients in the periventricular leukomalacia group, but in none of the patients with neurometabolic disorder (P < .001). The gestational age between groups varied significantly (P < .001). Involvement of frontal, parietal, and occipital lobes differed significantly between groups (P < .001). In the logistic regression, the best model included negative thalamus L-sign and gestational age, yielding an area under the curve, accuracy, sensitivity, specificity, and precision values of 0.995, 96.1%, 96%, 96.2%, and 96%, respectively. Both the lack of thalamus L-sign and gestational age were independent predictors (P < .001).
Conclusions:
The thalamus L-sign and gestational age may be useful in distinguishing between periventricular leukomalacia and neurometabolic disorders.
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