Literature DB >> 20888350

Angioarchitectural morphometrics of brain tumors: are there any potential histopathological biomarkers?

Antonio Di Ieva1.   

Abstract

Normal brain parenchyma has a highly complex microvascular structure that undergoes re-modelling in the presence of a tumor. A detailed understanding of the clinical and pathological aspects of neo-angiogenesis in malignant human brain tumors is essential in order to ensure the successful clinical application of anti-angiogenic therapy. As the quantification of various aspects of tumor vasculature may provide an indication of angiogenic activity, it is reasonable to assume that identifying specific new biomarkers will help investigators to design more appropriate and less toxic anti-angiogenic treatment strategies. Research into the quantitative analysis of microangioarchitectures can be divided into two main branches: morphometrics and biomarker research. Morphometrics adds quantitative elements to the qualitative description of tissues by means of Euclidean and fractal geometrical parameters, whereas biomarker research seeks predictors that can be used in clinical applications. All of the many morphometric parameters used to analyze microvascular networks in brain tumors have their pros and cons, but none has yet been validated as a reliable biomarker. This review describes the helpfulness and limitations of the morphometric parameters that have so far been proposed, and the current "state-of-the-art" in planning future research into biomarkers and morphometry of the microangioarchitecture of brain tumors. It concludes by discussing the need to make a multiparametric analysis of histological specimens that can be integrated with qualitative and quantitative analyses based on neuroradiological and nuclear medicine techniques in order to provide a valid holistic representation of brain tumors. An empirical algorithm for assessing the microangioarchitecture of brain tumors is also provided.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20888350     DOI: 10.1016/j.mvr.2010.09.005

Source DB:  PubMed          Journal:  Microvasc Res        ISSN: 0026-2862            Impact factor:   3.514


  5 in total

1.  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

2.  Glioma vessel abnormality quantification using time-of-flight MR angiography.

Authors:  Maddalena Strumia; Wilfried Reichardt; Ori Staszewski; Dieter Henrik Heiland; Astrid Weyerbrock; Irina Mader; Michael Bock
Journal:  MAGMA       Date:  2016-04-20       Impact factor: 2.310

Review 3.  GBM's multifaceted landscape: highlighting regional and microenvironmental heterogeneity.

Authors:  Alenoush Vartanian; Sanjay K Singh; Sameer Agnihotri; Shahrzad Jalali; Kelly Burrell; Kenneth D Aldape; Gelareh Zadeh
Journal:  Neuro Oncol       Date:  2014-03-18       Impact factor: 12.300

4.  Computer-assisted and fractal-based morphometric assessment of microvascularity in histological specimens of gliomas.

Authors:  Antonio Di Ieva; Emiliano Bruner; Georg Widhalm; Georgi Minchev; Manfred Tschabitscher; Fabio Grizzi
Journal:  Sci Rep       Date:  2012-05-29       Impact factor: 4.379

5.  Diagnosis system for hepatocellular carcinoma based on fractal dimension of morphometric elements integrated in an artificial neural network.

Authors:  Dan Ionuț Gheonea; Costin Teodor Streba; Cristin Constantin Vere; Mircea Şerbănescu; Daniel Pirici; Maria Comănescu; Letiția Adela Maria Streba; Marius Eugen Ciurea; Stelian Mogoantă; Ion Rogoveanu
Journal:  Biomed Res Int       Date:  2014-06-16       Impact factor: 3.411

  5 in total

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