Literature DB >> 28387870

Surgical Decision Making From Image-Based Biophysical Modeling of Glioblastoma: Not Ready for Primetime.

Aymeric Amelot1, Christophe Deroulers2, Mathilde Badoual2, Marc Polivka3, Homa Adle-Biassette3, Emmanuel Houdart4, Antoine F Carpentier5, Sebastien Froelich1,6, Emmanuel Mandonnet1,2,6.   

Abstract

BACKGROUND: Biophysical modeling of glioma is gaining more interest for clinical practice. The most popular model describes aggressivity of tumor cells by two parameters: net proliferation rate (ρ) and propensity to migrate (D). The ratio ρ/D, which can be estimated from a single preoperative magnetic resonance imaging (MRI), characterizes tumor invasiveness profile (high ρ/D: nodular; low ρ/D: diffuse). A recent study reported, from a large series of glioblastoma multiforme (GBM) patients, that gross total resection (GTR) would improve survival only in patients with nodular tumors.
OBJECTIVE: To replicate these results, that is to verify that benefit of GTR would be only observed for nodular tumors.
METHODS: Between 2005 and 2012, we considered 234 GBM patients with pre- and postoperative MRI. Stereotactic biopsy (BST) was performed in 109 patients. Extent of resection was assessed on postoperative MRI and classified as GTR or partial resection (PR). Invasiveness ρ/D was estimated from the preoperative tumor volumes on T1-Gadolinium-enhanced and fluid-attenuated inversion recovery sequences.
RESULTS: We demonstrate that patients with diffuse GBM (low ρ/D), as well as more nodular (mid and high ρ/D) GBM, presented significant survival benefit from GTR over PR/BST ( P < .001).
CONCLUSION: Whatever the degree of tumor invasiveness, as estimated from MRI-driven biophysical modeling, GTR improves survival of GBM patients, compared to PR or BST. This conflicting result should motivate further studies.
Copyright © 2017 by the Congress of Neurological Surgeons

Entities:  

Keywords:  Biophysical modeling; Glioblastoma; Invasiveness; Proliferation; Surgery; Survival prognosis

Mesh:

Substances:

Year:  2017        PMID: 28387870     DOI: 10.1093/neuros/nyw186

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  3 in total

1.  IDH-wild-type glioblastoma cell density and infiltration distribution influence on supramarginal resection and its impact on overall survival: a mathematical model.

Authors:  Shashwat Tripathi; Tito Vivas-Buitrago; Ricardo A Domingo; Gaetano De Biase; Desmond Brown; Oluwaseun O Akinduro; Andres Ramos-Fresnedo; Wendy Sherman; Vivek Gupta; Erik H Middlebrooks; David S Sabsevitz; Alyx B Porter; Joon H Uhm; Bernard R Bendok; Ian Parney; Fredric B Meyer; Kaisorn L Chaichana; Kristin R Swanson; Alfredo Quiñones-Hinojosa
Journal:  J Neurosurg       Date:  2021-10-29       Impact factor: 5.408

2.  Inter-rater agreement in glioma segmentations on longitudinal MRI.

Authors:  M Visser; D M J Müller; R J M van Duijn; M Smits; N Verburg; E J Hendriks; R J A Nabuurs; J C J Bot; R S Eijgelaar; M Witte; M B van Herk; F Barkhof; P C de Witt Hamer; J C de Munck
Journal:  Neuroimage Clin       Date:  2019-02-22       Impact factor: 4.881

3.  Quantifying Uncertainty and Robustness in a Biomathematical Model-Based Patient-Specific Response Metric for Glioblastoma.

Authors:  Andrea Hawkins-Daarud; Sandra K Johnston; Kristin R Swanson
Journal:  JCO Clin Cancer Inform       Date:  2019-02
  3 in total

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