Literature DB >> 26095141

Radial expansion rates and tumor growth kinetics predict malignant transformation in contrast-enhancing low-grade diffuse astrocytoma.

Leith Hathout1, Whitney B Pope2, Albert Lai3,4, Phioanh L Nghiemphu3,4, Timothy F Cloughesy3,4, Benjamin M Ellingson2,3,5,6.   

Abstract

BACKGROUND: Contrast-enhancing low-grade diffuse astrocytomas are an understudied, aggressive subtype at increased risk because of few radiographic indications of malignant transformation. In the current study, we tested whether tumor growth kinetics could identify tumors that undergo malignant transformation to higher grades.
METHODS: Thirty patients with untreated diffuse astrocytomas (WHO II) that underwent tumor progression were enrolled. Contrast-enhancing and T2 hyperintense tumor regions were segmented and the radius of tumor at two time points leading to progression was estimated. Radial expansion rates were used to estimate proliferation and invasion rates using a biomathematical model.
RESULTS: Radial expansion rates for both contrast-enhancing (p = 0.0040) and T2 hyperintense regions (p = 0.0016) were significantly higher in WHO II-IV tumors compared with nontransformers. Similarly, model estimates showed a significantly higher proliferation (p = 0.0324) and invasion rate (p = 0.0050) in WHO II-IV tumors compared with nontransformers.
CONCLUSION: Tumor growth kinetics can identify contrast-enhancing diffuse astrocytomas undergoing malignant transformation.

Entities:  

Keywords:  MRI; glioma growth model; growth rate; low-grade gliomas; malignant transformation

Mesh:

Year:  2015        PMID: 26095141      PMCID: PMC4538925          DOI: 10.2217/cns.15.16

Source DB:  PubMed          Journal:  CNS Oncol        ISSN: 2045-0907


  20 in total

Review 1.  The evolution of mathematical modeling of glioma proliferation and invasion.

Authors:  Hana L P Harpold; Ellsworth C Alvord; Kristin R Swanson
Journal:  J Neuropathol Exp Neurol       Date:  2007-01       Impact factor: 3.685

Review 2.  Computational modeling of the WHO grade II glioma dynamics: principles and applications to management paradigm.

Authors:  Emmanuel Mandonnet; Johan Pallud; Olivier Clatz; Luc Taillandier; Ender Konukoglu; Hugues Duffau; Laurent Capelle
Journal:  Neurosurg Rev       Date:  2008-02-26       Impact factor: 3.042

3.  Supratentorial low grade astrocytoma: prognostic factors, dedifferentiation, and the issue of early versus late surgery.

Authors:  M L van Veelen; C J Avezaat; J M Kros; W van Putten; C Vecht
Journal:  J Neurol Neurosurg Psychiatry       Date:  1998-05       Impact factor: 10.154

4.  Suspected low-grade glioma: is deferring treatment safe?

Authors:  L D Recht; R Lew; T W Smith
Journal:  Ann Neurol       Date:  1992-04       Impact factor: 10.422

5.  Low-grade glioma. To treat or not to treat?

Authors:  J G Cairncross; N J Laperriere
Journal:  Arch Neurol       Date:  1989-11

6.  Supratentorial low-grade astrocytomas in adults.

Authors:  J H Philippon; S H Clemenceau; F H Fauchon; J F Foncin
Journal:  Neurosurgery       Date:  1993-04       Impact factor: 4.654

7.  A mathematical model for brain tumor response to radiation therapy.

Authors:  R Rockne; E C Alvord; J K Rockhill; K R Swanson
Journal:  J Math Biol       Date:  2008-09-25       Impact factor: 2.259

Review 8.  Outcome in adult low-grade glioma: the impact of prognostic factors and treatment.

Authors:  David Schiff; Paul D Brown; Caterina Giannini
Journal:  Neurology       Date:  2007-09-25       Impact factor: 9.910

9.  A mathematical model of glioma growth: the effect of chemotherapy on spatio-temporal growth.

Authors:  P Tracqui; G C Cruywagen; D E Woodward; G T Bartoo; J D Murray; E C Alvord
Journal:  Cell Prolif       Date:  1995-01       Impact factor: 6.831

10.  A mathematical modelling tool for predicting survival of individual patients following resection of glioblastoma: a proof of principle.

Authors:  K R Swanson; R C Rostomily; E C Alvord
Journal:  Br J Cancer       Date:  2007-12-04       Impact factor: 7.640

View more
  5 in total

Review 1.  IDH wild-type WHO grade II diffuse low-grade gliomas. A heterogeneous family with different outcomes. Systematic review and meta-analysis.

Authors:  Davide Tiziano Di Carlo; Hugues Duffau; Federico Cagnazzo; Nicola Benedetto; Riccardo Morganti; Paolo Perrini
Journal:  Neurosurg Rev       Date:  2018-06-26       Impact factor: 3.042

Review 2.  Surveillance imaging frequency in adult patients with lower-grade (WHO Grade 2 and 3) gliomas.

Authors:  Jasmin Jo; Martin J van den Bent; Burt Nabors; Patrick Y Wen; David Schiff
Journal:  Neuro Oncol       Date:  2022-07-01       Impact factor: 13.029

3.  Reducing radiation dose to normal brain through a risk adapted dose reduction protocol for patients with favourable subtype anaplastic glioma.

Authors:  M Back; M LeMottee; C Crasta; D Bailey; H Wheeler; L Guo; T Eade
Journal:  Radiat Oncol       Date:  2017-03-02       Impact factor: 3.481

4.  A mathematical model describes the malignant transformation of low grade gliomas: Prognostic implications.

Authors:  Magdalena U Bogdańska; Marek Bodnar; Monika J Piotrowska; Michael Murek; Philippe Schucht; Jürgen Beck; Alicia Martínez-González; Víctor M Pérez-García
Journal:  PLoS One       Date:  2017-08-01       Impact factor: 3.240

5.  Non-standard radiotherapy fractionations delay the time to malignant transformation of low-grade gliomas.

Authors:  Araceli Henares-Molina; Sebastien Benzekry; Pedro C Lara; Marcial García-Rojo; Víctor M Pérez-García; Alicia Martínez-González
Journal:  PLoS One       Date:  2017-06-01       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.