The Role of Fetal MRI-based Texture Analysis in Differentiating Congenital Pulmonary Airway Malformation and Pulmonary Sequestration

Abstract

Aim:The purpose of our study was to evaluate the diagnostic performance of fetal magnetic resonance imaging (MRI)-based texture analysis (TA) to differentiate the two most common lung malformations, congenital pulmonary airway malformation (CPAM) and pulmonary sequestration (PS).Materials and Methods:This retrospective single-center study included 24 patients with CPAM and 8 patients with PS who had a fetal MRI examination between January 2015 and December 2020. T2-weighted coronal images were used for TA. One reader designated the malformation borders and drew a region-of-interest for TA. The differences in values of the texture features between the groups were assessed and receiver operating characteristic curves were calculated for each statistically significant feature. P-value<0.05 was considered statistically significant.Results:Forty-eight texture features were calculated for each malformation. Twenty features on T2-weighted images were significantly different between the CPAMSs and PSs. Among these, short-run high gray-level emphasis and long-run emphasis, which are gray-level run-length matrix features parameters, had the largest area under the curves: 0.956 (sensitivity 87%, specificity 95%) and 0.943 (sensitivity 87%, specificity 85%), respectively.Conclusion:Our results suggest that fetal MRI-based TA may be used to distinguish CPAMs from PSs in fetuses with uncertain pulmonary findings prior to birth.

Keywords

• fetal
• magnetic resonance imaging
• computer-assisted image processing
• lung malformation