An approach to the symbolic representation of brain arteriovenous malformations for management and treatment planning

IntroductionThere is currently no standardised approach to arteriovenous malformation (AVM) reporting. Existing AVM classification systems focuses on angioarchitectural features and omit haemodynamic, anatomical and topological parameters intuitively used by therapists.MethodsWe introduce a symbolic vocabulary to represent the state of an AVM of the brain at different stages of treatment. The vocabulary encompasses the main anatomic and haemodynamic features of interest in treatment planning and provides shorthand symbols to represent the interventions themselves in a schematic representation.ResultsThe method was presented to 50 neuroradiologists from14 countries during a workshop and graded 7.34 ± 1.92 out of ten for its usefulness as means of standardising and facilitating communication between clinicians and allowing comparisons between AVM cases. Feedback from the survey was used to revise the method and improve its completeness. For an AVM test case, participants were asked to produce a conventional written report and subsequently a diagrammatic report. The two required, on average, 6.19 ± 2.05 and 5.09 ± 3.01 min, respectively. Eighteen participants said that producing the diagram changed the way they thought about the AVM test case.ConclusionIntroduced into routine practice, the diagrams would represent a step towards a standardised approach to AVM reporting with consequent benefits for comparative analysis and communication as well as for identifying best treatment strategies.

[1]  Jens Frahm,et al.  Towards real-time 3 D phase-contrast flow MRI , 2012 .

[2]  R. Spetzler,et al.  The prospective application of a grading system for arteriovenous malformations. , 1994, Neurosurgery.

[3]  D F Kallmes,et al.  Point: CFD—Computational Fluid Dynamics or Confounding Factor Dissemination , 2012, American Journal of Neuroradiology.

[4]  Elise Bannier,et al.  Non-Contrast-Enhanced High-Temporal-Resolution 4D MRA with an Acquisition Window Covering Two Cardiac Cycles: Assessment of Arteriovenous Malformations in the Brain , 2013 .

[5]  J. V. Byrne,et al.  Cerebrovascular malformations , 2004, European Radiology.

[6]  R F Spetzler,et al.  A proposed grading system for arteriovenous malformations. , 1986, Journal of neurosurgery.

[7]  A. A. Sousa,et al.  Angioarchitecture and clinical presentation of brain arteriovenous malformations. , 2009, Arquivos de neuro-psiquiatria.

[8]  A. Valavanis,et al.  Classification of brain arteriovenous malformation nidus by magnetic resonance imaging. , 1986, Acta radiologica. Supplementum.

[9]  Yiannis Ventikos,et al.  Computational modelling for the embolization of brain arteriovenous malformations. , 2012, Medical engineering & physics.

[10]  Eugene Ornstein,et al.  A Theoretical Model of Cerebral Hemodynamics: Application to the Study of Arteriovenous Malformations , 1997, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[11]  A. Casasco,et al.  A proposed angiographic classification of intracranial arteriovenous fistulae and malformations , 2004, Neuroradiology.

[12]  Yiannis Ventikos,et al.  The Role of Biofluid Mechanics in the Assessment of Clinical and Pathological Observations , 2010, Annals of Biomedical Engineering.

[13]  Walter Montanera,et al.  Angioarchitectural Factors Present in Brain Arteriovenous Malformations Associated With Hemorrhagic Presentation , 2002, Stroke.

[14]  G. Steinberg,et al.  Arteriovenous malformations , 2009, British journal of neurosurgery.

[15]  J. Tew,et al.  Feeding artery pedicle aneurysms: association with parenchymal hemorrhage and arteriovenous malformation in the brain. , 1994, Journal of neurosurgery.

[16]  Daniel C. Lu,et al.  SYLVIAN FISSURE ARTERIOVENOUS MALFORMATIONS: AN APPLICATION OF THE SUGITA CLASSIFICATION TO 28 SURGICAL PATIENTS , 2007, Neurosurgery.

[17]  Yiannis Ventikos,et al.  Towards Treatment Planning for the Embolization of Arteriovenous Malformations of the Brain: Intranidal Hemodynamics Modeling , 2011, IEEE Transactions on Biomedical Engineering.

[18]  K. J. Lee,et al.  Brain arteriovenous malformations: measurement of nidal volume using a combination of static and dynamic magnetic resonance angiography techniques , 2005, Neuroradiology.

[19]  R. Rodríguez-Mercado,et al.  A proposal for a new arteriovenous malformation grading scale for neuroendovascular procedures and literature review. , 2010, Puerto Rico health sciences journal.

[20]  D. Kallmes,et al.  Counterpoint: Realizing the Clinical Utility of Computational Fluid Dynamics—Closing the Gap , 2012 .

[21]  Frank Ong,et al.  Improved visualization and quantification of 4D flow MRI data using divergence-freewavelet denoising , 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.