C Parazzini1, A Righini, M Rustico, D Consonni, F Triulzi. 1. Department of Radiology and Neuroradiology, Children's Hospital "V. Buzzi", Via Castelvetro 32, 20154, Milan, Italy. Cecilia.parazzini@icp.mi.it
Abstract
INTRODUCTION: Prenatal magnetic resonance (MR) imaging is currently used to measure quantitative data concerning brain structural development. At present, morphometric MR imaging studies have been focused mostly on the third trimester of gestational age. However, in many countries, because of legal restriction on abortion timing, the majority of MR imaging fetal examination has to be carried out during the last part of the second trimester of pregnancy (i.e., before the 24th week of gestation). Accurate and reliable normative data of the brain between 20 and 24 weeks of gestation is not available. This report provides easy and practical parametric support to assess those normative data. MATERIALS AND METHODS: From a database of 1,200 fetal MR imaging studies, we retrospectively selected 84 studies of the brain of fetuses aged 20-24 weeks of gestation that resulted normal on clinical and radiological follow-up. Fetuses with proved or suspected infections, twin pregnancy, and fetuses of mothers affected by pathology that might have influenced fetal growth were excluded. Linear biometrical measurements of the main cerebral structures were obtained by three experienced pediatric neuroradiologists. RESULTS: A substantial interobserver agreement for each measurements was reached, and normative data with median, maximum, and minimum value were obtained for brain structures. CONCLUSION: The knowledge of a range of normality and interindividual variability of linear biometrical values for the developing brain between 20th and 24th weeks of gestation may be valuable in assessing normal brain development in clinical settings.
INTRODUCTION: Prenatal magnetic resonance (MR) imaging is currently used to measure quantitative data concerning brain structural development. At present, morphometric MR imaging studies have been focused mostly on the third trimester of gestational age. However, in many countries, because of legal restriction on abortion timing, the majority of MR imaging fetal examination has to be carried out during the last part of the second trimester of pregnancy (i.e., before the 24th week of gestation). Accurate and reliable normative data of the brain between 20 and 24 weeks of gestation is not available. This report provides easy and practical parametric support to assess those normative data. MATERIALS AND METHODS: From a database of 1,200 fetal MR imaging studies, we retrospectively selected 84 studies of the brain of fetuses aged 20-24 weeks of gestation that resulted normal on clinical and radiological follow-up. Fetuses with proved or suspected infections, twin pregnancy, and fetuses of mothers affected by pathology that might have influenced fetal growth were excluded. Linear biometrical measurements of the main cerebral structures were obtained by three experienced pediatric neuroradiologists. RESULTS: A substantial interobserver agreement for each measurements was reached, and normative data with median, maximum, and minimum value were obtained for brain structures. CONCLUSION: The knowledge of a range of normality and interindividual variability of linear biometrical values for the developing brain between 20th and 24th weeks of gestation may be valuable in assessing normal brain development in clinical settings.
Authors: L Breysem; H Bosmans; S Dymarkowski; D Van Schoubroeck; I Witters; J Deprest; P Demaerel; D Vanbeckevoort; C Vanhole; P Casaer; M Smet Journal: Eur Radiol Date: 2003-04-15 Impact factor: 5.315
Authors: Leonardo Baldarçara; Stuart Currie; M Hadjivassiliou; Nigel Hoggard; Allison Jack; Andrea P Jackowski; Mario Mascalchi; Cecilia Parazzini; Kathrin Reetz; Andrea Righini; Jörg B Schulz; Alessandra Vella; Sara Jane Webb; Christophe Habas Journal: Cerebellum Date: 2015-04 Impact factor: 3.847
Authors: Arastoo Vossough; Catherine Limperopoulos; Mary E Putt; Adre J du Plessis; Peter J Schwab; Jue Wu; James C Gee; Daniel J Licht Journal: Radiology Date: 2013-02-25 Impact factor: 11.105
Authors: A Righini; C Frassoni; F Inverardi; C Parazzini; D Mei; C Doneda; T J Re; I Zucca; R Guerrini; R Spreafico; F Triulzi Journal: AJNR Am J Neuroradiol Date: 2013-04-18 Impact factor: 3.825