The Journal of Pediatric Research

The role of fetal MRI-based texture analysis in differentiating congenital pulmonary airway malformation and pulmonary sequestration []
. Ahead of Print: JPR-52386

The role of fetal MRI-based texture analysis in differentiating congenital pulmonary airway malformation and pulmonary sequestration

Orkun Sarioglu1, Fatma Ceren Sarioglu2, Bahar Konuralp Atakul3, Deniz Oztekin4, Ozgur Oztekin5
1Department of Radiology, Izmir Democracy University School of Medicine, Buca Seyfi Demirsoy Education and Research Hospital, Izmir, Turkey
2Department of Radiology, Division of Pediatric Radiology, Izmir Health Sciences University, Tepecik Education and Research Hospital, Izmir, Turkey
3Department of Obstetrics and Gynecology, Division of Perinatology, Balikesir Ataturk State Hospital, Balikesir, Turkey
4Department of Obstetrics and Gynecology, Izmir Bakircay University School of Medicine, Cigli Education and Research Hospital, Izmir, Turkey
5Department of Radiology, Izmir Bakircay University School of Medicine, Cigli Education and Research Hospital, Izmir, Turkey

INTRODUCTION: The purpose of our study was to evaluate the diagnostic performance of fetal MRI-based texture analysis (TA) to differentiate the two most common lung malformations, congenital pulmonary airway malformation (CPAM) and pulmonary sequestration (PS).
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 of the texture features’ values between the groups were assessed and receiver operating characteristic curves were calculated for each statistically significant feature. A 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 (SRHGE) and long-run emphasis (LRE), which are gray-level run-length matrix features (GLRLM) parameters, had the largest area under the curves: 0.956 (sensitivity 87%, specificity 95%) and 0.943 (sensitivity 87%, specificity 85%), respectively.
DISCUSSION AND 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




Corresponding Author: Orkun Sarioglu, Türkiye


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