Literature DB >> 23498990

Prognostic vascular imaging biomarkers in high-grade gliomas: tumor permeability as an adjunct to blood volume estimates.

Rajan Jain1, Jayant Narang, Brent Griffith, Hassan Bagher-Ebadian, Lisa Scarpace, Tom Mikkelsen, Benjamin Littenberg, Lonni R Schultz.   

Abstract

RATIONALE AND
OBJECTIVES: Despite recent advances in the treatment of high-grade gliomas, overall survival (OS) remains poor, which underlines the importance of searching for and determining prognostic imaging biomarkers. The purpose of our retrospective study was to correlate patient survival with relative cerebral blood volume (rCBV) and permeability surface area-product (PS) measured using perfusion computed tomography (PCT) in patients with high-grade gliomas.
METHODS: This study was composed of 54 patients with high-grade gliomas (World Health Organization [WHO] grade III, n = 14; WHO grade IV, n = 40) who underwent pretreatment PCT. Kaplan-Meier survival estimates were computed to describe OS for patients with high-versus-low PCT parameters, as well as grade III and IV gliomas.
RESULTS: Differences in OS between high and low rCBV, PS, and rCBV + PS were significant (P < .001) for all high-grade gliomas. After adjustment for WHO grade, rCBV (P = .041) and rCBV + PS (P = .013) estimates remained significant, whereas PS estimates were not (P = .214). PS estimates showed a statistically significant difference for OS in the grade III glioma group (P = .011), whereas for grade IV gliomas, rCBV estimates were statistically significant (P = .019). rCBV + PS was statistically significant for OS in both grade III (P = .001) and grade IV (P = .004) glioma groups.
CONCLUSIONS: Blood volume and permeability estimates measured using PCT can help predict survival in patients with high-grade gliomas. Patients with high PCT parameters showed worse OS compared to the patients with low PCT. Both rCBV and rCBV + PS remained statistically significant even after adjustment for WHO grade, suggesting these may be better predictors of OS than histological grade.
Copyright © 2013 AUR. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23498990     DOI: 10.1016/j.acra.2012.11.011

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  8 in total

1.  MR imaging phenotype correlates with extent of genome-wide copy number abundance in IDH mutant gliomas.

Authors:  Chih-Chun Wu; Rajan Jain; Lucidio Neto; Seema Patel; Laila M Poisson; Jonathan Serrano; Victor Ng; Sohil H Patel; Dimitris G Placantonakis; David Zagzag; John Golfinos; Andrew S Chi; Matija Snuderl
Journal:  Neuroradiology       Date:  2019-05-27       Impact factor: 2.804

2.  High-resolution blood-pool-contrast-enhanced MR angiography in glioblastoma: tumor-associated neovascularization as a biomarker for patient survival. A preliminary study.

Authors:  Josep Puig; Gerard Blasco; Josep Daunis-I-Estadella; Angel Alberich-Bayarri; Marco Essig; Rajan Jain; Sebastián Remollo; David Hernández; Montserrat Puigdemont; Javier Sánchez-González; Gloria Mateu; Max Wintermark; Salvador Pedraza
Journal:  Neuroradiology       Date:  2015-10-05       Impact factor: 2.804

3.  Quantitative MR perfusion parameters related to survival time in high-grade gliomas.

Authors:  Roberto Sanz-Requena; Antonio Revert-Ventura; Luis Martí-Bonmatí; Angel Alberich-Bayarri; Gracián García-Martí
Journal:  Eur Radiol       Date:  2013-07-10       Impact factor: 5.315

4.  Survival prediction in high-grade gliomas using CT perfusion imaging.

Authors:  Timothy Pok Chi Yeung; Yong Wang; Wenqing He; Benedetta Urbini; Roberta Gafà; Linda Ulazzi; Slav Yartsev; Glenn Bauman; Ting-Yim Lee; Enrico Fainardi
Journal:  J Neurooncol       Date:  2015-04-11       Impact factor: 4.130

5.  Glioma Angiogenesis and Perfusion Imaging: Understanding the Relationship between Tumor Blood Volume and Leakiness with Increasing Glioma Grade.

Authors:  R Jain; B Griffith; F Alotaibi; D Zagzag; H Fine; J Golfinos; L Schultz
Journal:  AJNR Am J Neuroradiol       Date:  2015-07-23       Impact factor: 3.825

Review 6.  Radiotherapy of high-grade gliomas: current standards and new concepts, innovations in imaging and radiotherapy, and new therapeutic approaches.

Authors:  Frederic Dhermain
Journal:  Chin J Cancer       Date:  2014-01

Review 7.  Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images.

Authors:  Armin Eilaghi; Timothy Yeung; Christopher d'Esterre; Glenn Bauman; Slav Yartsev; Jay Easaw; Enrico Fainardi; Ting-Yim Lee; Richard Frayne
Journal:  Biomark Cancer       Date:  2016-07-03

Review 8.  Hemodynamic Imaging in Cerebral Diffuse Glioma-Part B: Molecular Correlates, Treatment Effect Monitoring, Prognosis, and Future Directions.

Authors:  Vittorio Stumpo; Lelio Guida; Jacopo Bellomo; Christiaan Hendrik Bas Van Niftrik; Martina Sebök; Moncef Berhouma; Andrea Bink; Michael Weller; Zsolt Kulcsar; Luca Regli; Jorn Fierstra
Journal:  Cancers (Basel)       Date:  2022-03-05       Impact factor: 6.639

  8 in total

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