Literature DB >> 22120276

Fractal analysis of the susceptibility weighted imaging patterns in malignant brain tumors during antiangiogenic treatment: technical report on four cases serially imaged by 7 T magnetic resonance during a period of four weeks.

Antonio Di Ieva1, Christian Matula, Fabio Grizzi, Günther Grabner, Siegfried Trattnig, Manfred Tschabitscher.   

Abstract

OBJECTIVE: The need for new and objective indexes for the neuroradiologic follow-up of brain tumors and for monitoring the effects of antiangiogenic strategies in vivo led us to perform a technical study on four patients who received computerized analysis of tumor-associated vasculature with ultra-high-field (7 T) magnetic resonance imaging (MRI). The image analysis involved the application of susceptibility weighted imaging (SWI) to evaluate vascular structures.
METHODS: Four patients affected by recurrent malignant brain tumors were enrolled in the present study. After the first 7-T SWI MRI procedure, the patients underwent antiangiogenic treatment with bevacizumab. The imaging was repeated every 2 weeks for a period of 4 weeks. The SWI patterns visualized in the three MRI temporal sequences were analyzed by means of a computer-aided fractal-based method to objectively quantify their geometric complexity.
RESULTS: In two clinically deteriorating patients we found an increase of the geometric complexity of the space-filling properties of the SWI patterns over time despite the antiangiogenic treatment. In one patient, who showed improvement with the therapy, the fractal dimension of the intratumoral structure decreased, whereas in the fourth patient, no differences were found.
CONCLUSIONS: The qualitative changes of the intratumoral SWI patterns during a period of 4 weeks were quantified with the fractal dimension. Because SWI patterns are also related to the presence of vascular structures, the quantification of their space-filling properties with fractal dimension seemed to be a valid tool for the in vivo neuroradiologic follow-up of brain tumors.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22120276     DOI: 10.1016/j.wneu.2011.09.006

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  6 in total

1.  [Application of ultrahigh-field MRI in neuro-oncology].

Authors:  A Radbruch; H-P Schlemmer
Journal:  Radiologe       Date:  2013-05       Impact factor: 0.635

2.  Morphological and Fractal Properties of Brain Tumors.

Authors:  Jacksson Sánchez; Miguel Martín-Landrove
Journal:  Front Physiol       Date:  2022-06-27       Impact factor: 4.755

3.  Three-dimensional susceptibility-weighted imaging at 7 T using fractal-based quantitative analysis to grade gliomas.

Authors:  Antonio Di Ieva; Sabine Göd; Günther Grabner; Fabio Grizzi; Camillo Sherif; Christian Matula; Manfred Tschabitscher; Siegfrid Trattnig
Journal:  Neuroradiology       Date:  2012-08-18       Impact factor: 2.804

Review 4.  Fractal analysis in radiological and nuclear medicine perfusion imaging: a systematic review.

Authors:  Florian Michallek; Marc Dewey
Journal:  Eur Radiol       Date:  2013-08-23       Impact factor: 5.315

5.  Ultra-High-Field MRI in the Diagnosis and Management of Gliomas: A Systematic Review.

Authors:  Annabelle Shaffer; Susanna S Kwok; Anant Naik; Aaron T Anderson; Fan Lam; Tracey Wszalek; Paul M Arnold; Wael Hassaneen
Journal:  Front Neurol       Date:  2022-04-05       Impact factor: 4.003

Review 6.  Clinical applications of susceptibility-weighted imaging in detecting and grading intracranial gliomas: a review.

Authors:  Wasif Mohammed; Hong Xunning; Shi Haibin; Meng Jingzhi
Journal:  Cancer Imaging       Date:  2013-04-24       Impact factor: 3.909

  6 in total

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