Fractal-based analysis of arteriovenous malformations (AVMs)

Antonio Di Ieva, Gernot Reishofer

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

Arteriovenous malformations (AVMs) are cerebrovascular lesions consisting of a pathologic tangle of the vessels characterized by a core termed the nidus, which is the “nest” where the fistulous connections occur. AVMs can cause headache, stroke, and/or seizures. Their treatment can be challenging requiring surgery, endovascular embolization, and/or radiosurgery as well. AVMs’ morphology varies greatly among patients, and there is still a lack of standardization of angioarchitectural parameters, which can be used as morphometric parameters as well as potential clinical biomarkers (e.g., related to prognosis). In search of new diagnostic and prognostic neuroimaging biomarkers of AVMs, computational fractal-based models have been proposed for describing and quantifying the angioarchitecture of the nidus. In fact, the fractal dimension (FD) can be used to quantify AVMs’ branching pattern. Higher FD values are related to AVMs characterized by an increased number and tortuosity of the intranidal vessels or to an increasing angioarchitectural complexity as a whole. Moreover, FD has been investigated in relation to the outcome after Gamma Knife radiosurgery, and an inverse relationship between FD and AVM obliteration was found. Taken altogether, FD is able to quantify in a single and objective value what neuroradiologists describe in qualitative and/or semiquantitative way, thus confirming FD as a reliable morphometric neuroimaging biomarker of AVMs and as a potential surrogate imaging biomarker. Moreover, computational fractal-based techniques are under investigation for the automatic segmentation and extraction of the edges of the nidus in neuroimaging, which can be relevant for surgery and/or radiosurgery planning.
LanguageEnglish
Title of host publicationThe Fractal geometry of the brain
EditorsAntonio Di Ieva
Place of PublicationNew York
PublisherSpringer, Springer Nature
Pages279-293
Number of pages15
ISBN (Print)9781493939954
DOIs
Publication statusPublished - 2016

Publication series

NameSpringer Series in Computational Neuroscience
PublisherSpringer

Fingerprint

Fractals
Arteriovenous Malformations
Radiosurgery
Biomarkers
Neuroimaging
Headache
Seizures
Stroke

Keywords

  • angioarchitecture
  • arteriovenous malformation
  • AVM
  • box counting
  • fractal dimension
  • Gamma Knife radiosurgery
  • Minkowski dimension
  • outcome

Cite this

Di Ieva, A., & Reishofer, G. (2016). Fractal-based analysis of arteriovenous malformations (AVMs). In A. Di Ieva (Ed.), The Fractal geometry of the brain (pp. 279-293). (Springer Series in Computational Neuroscience). New York: Springer, Springer Nature. https://doi.org/10.1007/978-1-4939-3995-4_18
Di Ieva, Antonio ; Reishofer, Gernot. / Fractal-based analysis of arteriovenous malformations (AVMs). The Fractal geometry of the brain. editor / Antonio Di Ieva. New York : Springer, Springer Nature, 2016. pp. 279-293 (Springer Series in Computational Neuroscience).
@inbook{d3482597b0d1437ea2020f87f02d142a,
title = "Fractal-based analysis of arteriovenous malformations (AVMs)",
abstract = "Arteriovenous malformations (AVMs) are cerebrovascular lesions consisting of a pathologic tangle of the vessels characterized by a core termed the nidus, which is the “nest” where the fistulous connections occur. AVMs can cause headache, stroke, and/or seizures. Their treatment can be challenging requiring surgery, endovascular embolization, and/or radiosurgery as well. AVMs’ morphology varies greatly among patients, and there is still a lack of standardization of angioarchitectural parameters, which can be used as morphometric parameters as well as potential clinical biomarkers (e.g., related to prognosis). In search of new diagnostic and prognostic neuroimaging biomarkers of AVMs, computational fractal-based models have been proposed for describing and quantifying the angioarchitecture of the nidus. In fact, the fractal dimension (FD) can be used to quantify AVMs’ branching pattern. Higher FD values are related to AVMs characterized by an increased number and tortuosity of the intranidal vessels or to an increasing angioarchitectural complexity as a whole. Moreover, FD has been investigated in relation to the outcome after Gamma Knife radiosurgery, and an inverse relationship between FD and AVM obliteration was found. Taken altogether, FD is able to quantify in a single and objective value what neuroradiologists describe in qualitative and/or semiquantitative way, thus confirming FD as a reliable morphometric neuroimaging biomarker of AVMs and as a potential surrogate imaging biomarker. Moreover, computational fractal-based techniques are under investigation for the automatic segmentation and extraction of the edges of the nidus in neuroimaging, which can be relevant for surgery and/or radiosurgery planning.",
keywords = "angioarchitecture, arteriovenous malformation, AVM, box counting, fractal dimension, Gamma Knife radiosurgery, Minkowski dimension, outcome",
author = "{Di Ieva}, Antonio and Gernot Reishofer",
year = "2016",
doi = "10.1007/978-1-4939-3995-4_18",
language = "English",
isbn = "9781493939954",
series = "Springer Series in Computational Neuroscience",
publisher = "Springer, Springer Nature",
pages = "279--293",
editor = "{Di Ieva}, Antonio",
booktitle = "The Fractal geometry of the brain",
address = "United States",

}

Di Ieva, A & Reishofer, G 2016, Fractal-based analysis of arteriovenous malformations (AVMs). in A Di Ieva (ed.), The Fractal geometry of the brain. Springer Series in Computational Neuroscience, Springer, Springer Nature, New York, pp. 279-293. https://doi.org/10.1007/978-1-4939-3995-4_18

Fractal-based analysis of arteriovenous malformations (AVMs). / Di Ieva, Antonio; Reishofer, Gernot.

The Fractal geometry of the brain. ed. / Antonio Di Ieva. New York : Springer, Springer Nature, 2016. p. 279-293 (Springer Series in Computational Neuroscience).

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

TY - CHAP

T1 - Fractal-based analysis of arteriovenous malformations (AVMs)

AU - Di Ieva, Antonio

AU - Reishofer, Gernot

PY - 2016

Y1 - 2016

N2 - Arteriovenous malformations (AVMs) are cerebrovascular lesions consisting of a pathologic tangle of the vessels characterized by a core termed the nidus, which is the “nest” where the fistulous connections occur. AVMs can cause headache, stroke, and/or seizures. Their treatment can be challenging requiring surgery, endovascular embolization, and/or radiosurgery as well. AVMs’ morphology varies greatly among patients, and there is still a lack of standardization of angioarchitectural parameters, which can be used as morphometric parameters as well as potential clinical biomarkers (e.g., related to prognosis). In search of new diagnostic and prognostic neuroimaging biomarkers of AVMs, computational fractal-based models have been proposed for describing and quantifying the angioarchitecture of the nidus. In fact, the fractal dimension (FD) can be used to quantify AVMs’ branching pattern. Higher FD values are related to AVMs characterized by an increased number and tortuosity of the intranidal vessels or to an increasing angioarchitectural complexity as a whole. Moreover, FD has been investigated in relation to the outcome after Gamma Knife radiosurgery, and an inverse relationship between FD and AVM obliteration was found. Taken altogether, FD is able to quantify in a single and objective value what neuroradiologists describe in qualitative and/or semiquantitative way, thus confirming FD as a reliable morphometric neuroimaging biomarker of AVMs and as a potential surrogate imaging biomarker. Moreover, computational fractal-based techniques are under investigation for the automatic segmentation and extraction of the edges of the nidus in neuroimaging, which can be relevant for surgery and/or radiosurgery planning.

AB - Arteriovenous malformations (AVMs) are cerebrovascular lesions consisting of a pathologic tangle of the vessels characterized by a core termed the nidus, which is the “nest” where the fistulous connections occur. AVMs can cause headache, stroke, and/or seizures. Their treatment can be challenging requiring surgery, endovascular embolization, and/or radiosurgery as well. AVMs’ morphology varies greatly among patients, and there is still a lack of standardization of angioarchitectural parameters, which can be used as morphometric parameters as well as potential clinical biomarkers (e.g., related to prognosis). In search of new diagnostic and prognostic neuroimaging biomarkers of AVMs, computational fractal-based models have been proposed for describing and quantifying the angioarchitecture of the nidus. In fact, the fractal dimension (FD) can be used to quantify AVMs’ branching pattern. Higher FD values are related to AVMs characterized by an increased number and tortuosity of the intranidal vessels or to an increasing angioarchitectural complexity as a whole. Moreover, FD has been investigated in relation to the outcome after Gamma Knife radiosurgery, and an inverse relationship between FD and AVM obliteration was found. Taken altogether, FD is able to quantify in a single and objective value what neuroradiologists describe in qualitative and/or semiquantitative way, thus confirming FD as a reliable morphometric neuroimaging biomarker of AVMs and as a potential surrogate imaging biomarker. Moreover, computational fractal-based techniques are under investigation for the automatic segmentation and extraction of the edges of the nidus in neuroimaging, which can be relevant for surgery and/or radiosurgery planning.

KW - angioarchitecture

KW - arteriovenous malformation

KW - AVM

KW - box counting

KW - fractal dimension

KW - Gamma Knife radiosurgery

KW - Minkowski dimension

KW - outcome

U2 - 10.1007/978-1-4939-3995-4_18

DO - 10.1007/978-1-4939-3995-4_18

M3 - Chapter

SN - 9781493939954

T3 - Springer Series in Computational Neuroscience

SP - 279

EP - 293

BT - The Fractal geometry of the brain

A2 - Di Ieva, Antonio

PB - Springer, Springer Nature

CY - New York

ER -

Di Ieva A, Reishofer G. Fractal-based analysis of arteriovenous malformations (AVMs). In Di Ieva A, editor, The Fractal geometry of the brain. New York: Springer, Springer Nature. 2016. p. 279-293. (Springer Series in Computational Neuroscience). https://doi.org/10.1007/978-1-4939-3995-4_18