Fetal brain MRI texture analysis identifies different microstructural patterns in adequate and small for gestational age fetuses at term.

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).Study Design: MRI was performed on 83 SGA and 70 AGA at 37 weeks' GA...

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Publicado en:Fetal Diagnosis & Therapy Vol. 33; no. 2; pp. 122 - 130
Autores principales: Sanz-Cortés, M, Figueras, F, Bonet-Carne, E, Padilla, N, Tenorio, V, Bargalló, N, Amat-Roldan, I, Gratacós, Eduard
Formato: research Journal Article
Publicado: Karger AG Mar2013
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2013
      vid: 33
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      pub: Karger AG
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        2012261177
        10.1159/000346566
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        atl: Fetal brain MRI texture analysis identifies different microstructural patterns in adequate and small for gestational age fetuses at term.
      aug:
        au:
          Sanz-Cortés, M
          Figueras, F
          Bonet-Carne, E
          Padilla, N
          Tenorio, V
          Bargalló, N
          Amat-Roldan, I
          Gratacós, Eduard
        affil: Maternal-Fetal Medicine Department, ICGON, Hospital Clínic, Universitat de Barcelona, Fetal and Perinatal Medicine Research Group, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), and Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, Spain.
      sug:
        subj:
          Brain Embryology
          Developmental Disabilities Diagnosis
          Fetal Growth Retardation Physiopathology
          Prenatal Diagnosis Methods
          Brain Blood Supply
          Brain Pathology
          Prospective Studies
          Developmental Disabilities Etiology
          Developmental Disabilities
          Pilot Studies
          Female
          Fetal Growth Retardation Etiology
          Human
          Infant, Newborn
          Infant, Small for Gestational Age
          Magnetic Resonance Imaging
          Male
          Placental Insufficiency Physiopathology
          Pregnancy
          Pregnancy Trimester, Third
          Term Birth
          Vasodilation
          Infant, Newborn: birth-1 month
          Female
          Male
      ab: 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).Study Design: 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.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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