Fetal brain MRI texture analysis identifies different microstructural patterns in adequate and small for gestational age fetuses at term.
Fetal Diagn Ther
; 33(2): 122-9, 2013.
Article
em En
| MEDLINE
| ID: mdl-23391747
ABSTRACT
OBJECTIVES:
We tested the hypothesis whether a texture analysis (TA) algorithm applied to MRI brain images identified different patterns in small for gestational age (SGA) fetuses as compared with adequate for gestational age (AGA). STUDYDESIGN:
MRI was performed on 83 SGA and 70 AGA at 37 weeks' GA. Texture features were quantified in the frontal lobe, basal ganglia, mesencephalon, cerebellum and cingulum. A classification algorithm based on discriminative models was used to correlate texture features with clinical diagnosis.RESULTS:
Region of interest delineation in all areas was achieved in 61 SGA (12 vasodilated) and 52 AGA; this was the sample for TA feature extraction which allowed classifying SGA from AGA with accuracies ranging from 90.9 to 98.9% in SGA versus AGA comparison and from 93.6 to 100% in vasodilated SGA versus AGA comparison.CONCLUSIONS:
This study demonstrates that TA can detect brain differences in SGA fetuses. This supports the existence of brain microstructural changes in SGA fetuses.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Diagnóstico Pré-Natal
/
Encéfalo
/
Deficiências do Desenvolvimento
/
Retardo do Crescimento Fetal
Tipo de estudo:
Diagnostic_studies
/
Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Female
/
Humans
/
Male
/
Newborn
/
Pregnancy
Idioma:
En
Revista:
Fetal Diagn Ther
Assunto da revista:
DIAGNOSTICO POR IMAGEM
/
OBSTETRICIA
/
PERINATOLOGIA
Ano de publicação:
2013
Tipo de documento:
Article