Literature DB >> 29780195

Brain structure in sagittal craniosynostosis.

Beatriz Paniagua1, Sunghyung Kim2, Mahmoud Moustapha2, Martin Styner2, Heather Cody-Hazlett3, Rachel Gimple-Smith3, Ashley Rumple2, Joseph Piven3, John Gilmore2, Gary Skolnick4, Kamlesh Patel4.   

Abstract

Craniosynostosis, the premature fusion of one or more cranial sutures, leads to grossly abnormal head shapes and pressure elevations within the brain caused by these deformities. To date, accepted treatments for craniosynostosis involve improving surgical skull shape aesthetics. However, the relationship between improved head shape and brain structure after surgery has not been yet established. Typically, clinical standard care involves the collection of diagnostic medical computed tomography (CT) imaging to evaluate the fused sutures and plan the surgical treatment. CT is known to provide very good reconstructions of the hard tissues in the skull but it fails to acquire good soft brain tissue contrast. This study intends to use magnetic resonance imaging to evaluate brain structure in a small dataset of sagittal craniosynostosis patients and thus quantify the effects of surgical intervention in overall brain structure. Very importantly, these effects are to be contrasted with normative shape, volume and brain structure databases. The work presented here wants to address gaps in clinical knowledge in craniosynostosis focusing on understanding the changes in brain volume and shape secondary to surgery, and compare those with normally developing children. This initial pilot study has the potential to add significant quality to the surgical care of a vulnerable patient population in whom we currently have limited understanding of brain developmental outcomes.

Entities:  

Keywords:  Brain Tissue segmentation; Computer Assisted Intervention Planning; Full vault reconstructive surgery; Osteoarthritis; Statistical Shape Analysis; sagittal craniosynostosis

Year:  2017        PMID: 29780195      PMCID: PMC5956895          DOI: 10.1117/12.2254442

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  22 in total

1.  Geodesic shape regression in the framework of currents.

Authors:  James Fishbaugh; Marcel Prastawa; Guido Gerig; Stanley Durrleman
Journal:  Inf Process Med Imaging       Date:  2013

2.  User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability.

Authors:  Paul A Yushkevich; Joseph Piven; Heather Cody Hazlett; Rachel Gimpel Smith; Sean Ho; James C Gee; Guido Gerig
Journal:  Neuroimage       Date:  2006-03-20       Impact factor: 6.556

3.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

Authors:  J G Sled; A P Zijdenbos; A C Evans
Journal:  IEEE Trans Med Imaging       Date:  1998-02       Impact factor: 10.048

Review 4.  Craniosynostosis: diagnosis and management in the new millennium.

Authors:  R F Keating
Journal:  Pediatr Ann       Date:  1997-10       Impact factor: 1.132

Review 5.  Synostectomy versus complex cranioplasty for the treatment of sagittal synostosis.

Authors:  F A Boop; K Shewmake; W M Chadduck
Journal:  Childs Nerv Syst       Date:  1996-07       Impact factor: 1.475

6.  Brain volume findings in 6-month-old infants at high familial risk for autism.

Authors:  Heather Cody Hazlett; Hongbin Gu; Robert C McKinstry; Dennis W W Shaw; Kelly N Botteron; Stephen R Dager; Martin Styner; Clement Vachet; Guido Gerig; Sarah J Paterson; Robert T Schultz; Annette M Estes; Alan C Evans; Joseph Piven
Journal:  Am J Psychiatry       Date:  2012-06       Impact factor: 18.112

7.  Unbiased average age-appropriate atlases for pediatric studies.

Authors:  Vladimir Fonov; Alan C Evans; Kelly Botteron; C Robert Almli; Robert C McKinstry; D Louis Collins
Journal:  Neuroimage       Date:  2010-07-23       Impact factor: 6.556

8.  3D of Brain Shape and Volume After Cranial Vault Remodeling Surgery for Craniosynostosis Correction in Infants.

Authors:  Beatriz Paniagua; Omri Emodi; Jonathan Hill; James Fishbaugh; Luiz A Pimenta; Stephen R Aylward; Enquobahrie Andinet; Guido Gerig; John Gilmore; John A van Aalst; Martin Styner
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-29

9.  Analysis of longitudinal shape variability via subject specific growth modeling.

Authors:  James Fishbaugh; Marcel Prastawa; Stanley Durrleman; Joseph Piven; Guido Gerig
Journal:  Med Image Comput Comput Assist Interv       Date:  2012

10.  Lateral ventricle morphology analysis via mean latitude axis.

Authors:  Beatriz Paniagua; Amanda Lyall; Jean-Baptiste Berger; Clement Vachet; Robert M Hamer; Sandra Woolson; Weili Lin; John Gilmore; Martin Styner
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-29
View more
  3 in total

Review 1.  Intracranial pressure, brain morphology and cognitive outcome in children with sagittal craniosynostosis.

Authors:  Amalie E Thiele-Nygaard; Jon Foss-Skiftesvik; Marianne Juhler
Journal:  Childs Nerv Syst       Date:  2020-02-03       Impact factor: 1.475

2.  Impaired hippocampal development and outcomes in very preterm infants with perinatal brain injury.

Authors:  Jennifer M Strahle; Regina L Triplett; Dimitrios Alexopoulos; Tara A Smyser; Cynthia E Rogers; David D Limbrick; Christopher D Smyser
Journal:  Neuroimage Clin       Date:  2019-03-18       Impact factor: 4.881

3.  Predicting calvarial morphology in sagittal craniosynostosis.

Authors:  Oyvind Malde; Connor Cross; Chien L Lim; Arsalan Marghoub; Michael L Cunningham; Richard A Hopper; Mehran Moazen
Journal:  Sci Rep       Date:  2020-01-08       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.