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.
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.
Authors: Montse Palacio; Elisenda Bonet-Carne; Teresa Cobo; Alvaro Perez-Moreno; Joan Sabrià; Jute Richter; Marian Kacerovsky; Bo Jacobsson; Raúl A García-Posada; Fernando Bugatto; Ramon Santisteve; Àngels Vives; Mauro Parra-Cordero; Edgar Hernandez-Andrade; José Luis Bartha; Pilar Carretero-Lucena; Kai Lit Tan; Rogelio Cruz-Martínez; Minke Burke; Suseela Vavilala; Igor Iruretagoyena; Juan Luis Delgado; Mauro Schenone; Josep Vilanova; Francesc Botet; George S H Yeo; Jon Hyett; Jan Deprest; Roberto Romero; Eduard Gratacos Journal: Am J Obstet Gynecol Date: 2017-03-23 Impact factor: 8.661
Authors: Henrica M A de Bie; Michiel B de Ruiter; Mieke Ouwendijk; Kim J Oostrom; Marko Wilke; Maria Boersma; Dick J Veltman; Henriette A Delemarre-van de Waal Journal: PLoS One Date: 2015-07-01 Impact factor: 3.240
Authors: Robert D Cartwright; Caroline A Crowther; Peter J Anderson; Jane E Harding; Lex W Doyle; Christopher J D McKinlay Journal: JAMA Netw Open Date: 2019-02-01