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...
| Publicado en: | Fetal Diagnosis & Therapy Vol. 33; no. 2; pp. 122 - 130 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Karger AG
Mar2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104225320&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104225320 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10153837 NIP jtl: Fetal Diagnosis & Therapy issn: 10153837 maglogo: N pubinfo: dt: Mar2013 vid: 33 iid: 2 pid: 2485 pub: Karger AG artinfo: ui: 104225320 NLM23391747 2012261177 10.1159/000346566 NLM23391747 104225320 ppf: 122 ppct: 8 formats: tig: 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 refInfo: holdings: @attributes: islocal: N |
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