Literature DB >> 16723889

Perfusion magnetic resonance imaging predicts patient outcome as an adjunct to histopathology: a second reference standard in the surgical and nonsurgical treatment of low-grade gliomas.

Meng Law1, Sarah Oh, Glyn Johnson, James S Babb, David Zagzag, John Golfinos, Patrick J Kelly.   

Abstract

OBJECTIVE: To determine whether relative cerebral blood volume (rCBV) can predict patient outcome, specifically tumor progression, in low-grade gliomas (LGGs) and thus provide a second reference standard in the surgical and postsurgical management of LGGs.
METHODS: Thirty-five patients with histologically diagnosed LGGs (21 low-grade astrocytomas and 14 low-grade oligodendrogliomas and low-grade mixed oligoastrocytomas) were studied with dynamic susceptibility contrast-enhanced perfusion magnetic resonance imaging. Wilcoxon tests were used to compare patients in different response categories (complete response, stable, progressive, death) with respect to baseline rCBV. Log-rank tests were used to evaluate the association of rCBV with survival and time to progression. Kaplan-Meier time-to-progression curves were generated. Tumor volumes and CBV measurements were obtained at the initial examination and again at follow-up to determine the association of rCBV with tumor volume progression.
RESULTS: Wilcoxon tests showed patients manifesting an adverse event (either death or progression) had significantly higher rCBV (P = 0.003) than did patients without adverse events (complete response or stable disease). Log-rank tests showed that rCBV exhibited a significant negative association with disease-free survival (P = 0.0015), such that low rCBV values were associated with longer time to progression. Kaplan-Meier curves demonstrated that lesions with rCBV less than 1.75 (n = 16) had a median time to progression of 4620 +/- 433 days, and lesions with rCBV more than 1.75 (n = 19) had a median time to progression of 245 +/- 62 days (P < 0.005). Lesions with low baseline rCBV (< 1.75) demonstrated stable tumor volumes when followed up over time, and lesions with high baseline rCBV (> 1.75) demonstrated progressively increasing tumor volumes over time.
CONCLUSION: Dynamic susceptibility contrast-enhanced perfusion magnetic resonance imaging may be used to identify LGGs that are either high-grade gliomas, misdiagnosed because of sampling error at pathological examination or that have undergone angiogenesis in the progression toward malignant transformation. This suggests that rCBV measurements may be used as a second reference standard to determine the surgical management/risk-benefit equation and postsurgical adjuvant therapy for LGGs.

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Year:  2006        PMID: 16723889     DOI: 10.1227/01.NEU.0000215944.81730.18

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


  36 in total

1.  Measurement of cerebral perfusion with arterial spin labeling: Part 2. Applications.

Authors:  Gregory G Brown; Camellia Clark; Thomas T Liu
Journal:  J Int Neuropsychol Soc       Date:  2007-05       Impact factor: 2.892

Review 2.  Clinical neuroimaging using arterial spin-labeled perfusion magnetic resonance imaging.

Authors:  Ronald L Wolf; John A Detre
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

Review 3.  Current concepts in the evaluation and management of WHO grade II gliomas.

Authors:  Joseph M Piepmeier
Journal:  J Neurooncol       Date:  2009-04-09       Impact factor: 4.130

4.  Advanced MR imaging techniques in the evaluation of nonenhancing gliomas: perfusion-weighted imaging compared with proton magnetic resonance spectroscopy and tumor grade.

Authors:  Neslin Sahin; Elias R Melhem; Sumei Wang; Jaroslaw Krejza; Harish Poptani; Sanjeev Chawla; Gaurav Verma
Journal:  Neuroradiol J       Date:  2013-11-07

5.  ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.

Authors:  K Welker; J Boxerman; A Kalnin; T Kaufmann; M Shiroishi; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-23       Impact factor: 3.825

Review 6.  Clinical applications of dynamic susceptibility contrast perfusion-weighted MR imaging in brain tumours.

Authors:  A Romano; M C Rossi Espagnet; L F Calabria; V Coppola; L Figà Talamanca; V Cipriani; G Minniti; A Pierallini; L M Fantozzi; A Bozzao
Journal:  Radiol Med       Date:  2011-09-02       Impact factor: 3.469

7.  Prediction of survival in patients affected by glioblastoma: histogram analysis of perfusion MRI.

Authors:  Andrea Romano; Luca Pasquini; Alberto Di Napoli; Francesca Tavanti; Alessandro Boellis; Maria Camilla Rossi Espagnet; Giuseppe Minniti; Alessandro Bozzao
Journal:  J Neurooncol       Date:  2018-05-02       Impact factor: 4.130

8.  Enhancing fraction in glioma and its relationship to the tumoral vascular microenvironment: A dynamic contrast-enhanced MR imaging study.

Authors:  S J Mills; C Soh; J P B O'Connor; C J Rose; G Buonaccorsi; S Cheung; S Zhao; G J M Parker; A Jackson
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-17       Impact factor: 3.825

9.  Quantitative estimation of permeability surface-area product in astroglial brain tumors using perfusion CT and correlation with histopathologic grade.

Authors:  R Jain; S K Ellika; L Scarpace; L R Schultz; J P Rock; J Gutierrez; S C Patel; J Ewing; T Mikkelsen
Journal:  AJNR Am J Neuroradiol       Date:  2008-01-17       Impact factor: 3.825

10.  Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.

Authors:  Meng Law; Robert J Young; James S Babb; Nicole Peccerelli; Sophie Chheang; Michael L Gruber; Douglas C Miller; John G Golfinos; David Zagzag; Glyn Johnson
Journal:  Radiology       Date:  2008-03-18       Impact factor: 11.105

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