Literature DB >> 32139428

Discrimination between Glioblastoma and Solitary Brain Metastasis: Comparison of Inflow-Based Vascular-Space-Occupancy and Dynamic Susceptibility Contrast MR Imaging.

X Li1, D Wang2, S Liao1,3, L Guo1, X Xiao1, X Liu1, Y Xu1, J Hua4,5, J J Pillai6,7, Y Wu8.   

Abstract

BACKGROUND AND
PURPOSE: Accurate differentiation between glioblastoma and solitary brain metastasis is of vital importance clinically. This study aimed to investigate the potential value of the inflow-based vascular-space-occupancy MR imaging technique, which has no need for an exogenous contrast agent, in differentiating glioblastoma and solitary brain metastasis and to compare it with DSC MR imaging.
MATERIALS AND METHODS: Twenty patients with glioblastoma and 22 patients with solitary brain metastasis underwent inflow-based vascular-space-occupancy and DSC MR imaging with a 3T clinical scanner. Two neuroradiologists independently measured the maximum inflow-based vascular-space-occupancy-derived arteriolar CBV and DSC-derived CBV values in intratumoral regions and peritumoral T2-hyperintense regions, which were normalized to the contralateral white matter (relative arteriolar CBV and relative CBV, inflow-based vascular-space-occupancy relative arteriolar CBV, and DSC-relative CBV). The intraclass correlation coefficient, Student t test, or Mann-Whitney U test and receiver operating characteristic analysis were performed.
RESULTS: All parameters of both regions had good or excellent interobserver reliability (0.74∼0.89). In peritumoral T2-hyperintese regions, DSC-relative CBV (P < .001), inflow-based vascular-space-occupancy arteriolar CBV (P = .001), and relative arteriolar CBV (P = .005) were significantly higher in glioblastoma than in solitary brain metastasis, with areas under the curve of 0.94, 0.83, and 0.72 for discrimination, respectively. In the intratumoral region, both inflow-based vascular-space-occupancy arteriolar CBV and relative arteriolar CBV were significantly higher in glioblastoma than in solitary brain metastasis (both P < .001), with areas under the curve of 0.91 and 0.90, respectively. Intratumoral DSC-relative CBV showed no significant difference (P = .616) between the 2 groups.
CONCLUSIONS: Inflow-based vascular-space-occupancy has the potential to discriminate glioblastoma from solitary brain metastasis, especially in the intratumoral region.
© 2020 by American Journal of Neuroradiology.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32139428      PMCID: PMC7144627          DOI: 10.3174/ajnr.A6466

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  68 in total

1.  Compartment-resolved imaging of activity-dependent dynamics of cortical blood volume and oximetry.

Authors:  Ivo Vanzetta; Rina Hildesheim; Amiram Grinvald
Journal:  J Neurosci       Date:  2005-03-02       Impact factor: 6.167

2.  Arterial versus total blood volume changes during neural activity-induced cerebral blood flow change: implication for BOLD fMRI.

Authors:  Tae Kim; Kristy S Hendrich; Kazuto Masamoto; Seong-Gi Kim
Journal:  J Cereb Blood Flow Metab       Date:  2006-12-20       Impact factor: 6.200

Review 3.  Glial regulation of the cerebral microvasculature.

Authors:  Costantino Iadecola; Maiken Nedergaard
Journal:  Nat Neurosci       Date:  2007-11       Impact factor: 24.884

Review 4.  Angiogenesis in brain tumors; pathobiological and clinical aspects.

Authors:  P Wesseling; D J Ruiter; P C Burger
Journal:  J Neurooncol       Date:  1997-05       Impact factor: 4.130

5.  An artery-specific fluorescent dye for studying neurovascular coupling.

Authors:  Zhiming Shen; Zhongyang Lu; Pratik Y Chhatbar; Philip O'Herron; Prakash Kara
Journal:  Nat Methods       Date:  2012-01-22       Impact factor: 28.547

Review 6.  Treatment of malignant glioma: a problem beyond the margins of resection.

Authors:  A Giese; M Westphal
Journal:  J Cancer Res Clin Oncol       Date:  2001-04       Impact factor: 4.553

7.  Abnormal Grey Matter Arteriolar Cerebral Blood Volume in Schizophrenia Measured With 3D Inflow-Based Vascular-Space-Occupancy MRI at 7T.

Authors:  Jun Hua; Allison S Brandt; SeungWook Lee; Nicholas I S Blair; Yuankui Wu; Su Lui; Jaymin Patel; Andreia V Faria; Issel Anne L Lim; Paul G Unschuld; James J Pekar; Peter C M van Zijl; Christopher A Ross; Russell L Margolis
Journal:  Schizophr Bull       Date:  2017-05-01       Impact factor: 9.306

8.  The Role of preload and leakage correction in gadolinium-based cerebral blood volume estimation determined by comparison with MION as a criterion standard.

Authors:  J L Boxerman; D E Prah; E S Paulson; J T Machan; D Bedekar; K M Schmainda
Journal:  AJNR Am J Neuroradiol       Date:  2012-02-09       Impact factor: 3.825

Review 9.  Potential role of advanced MRI techniques for the peritumoural region in differentiating glioblastoma multiforme and solitary metastatic lesions.

Authors:  E J Lee; K J Ahn; E K Lee; Y S Lee; D B Kim
Journal:  Clin Radiol       Date:  2013-08-19       Impact factor: 2.350

10.  Differentiation of glioblastoma multiforme and single brain metastasis by peak height and percentage of signal intensity recovery derived from dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.

Authors:  S Cha; J M Lupo; M-H Chen; K R Lamborn; M W McDermott; M S Berger; S J Nelson; W P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  2007 Jun-Jul       Impact factor: 3.825

View more
  5 in total

1.  Machine learning based differentiation of glioblastoma from brain metastasis using MRI derived radiomics.

Authors:  Sarv Priya; Yanan Liu; Caitlin Ward; Nam H Le; Neetu Soni; Ravishankar Pillenahalli Maheshwarappa; Varun Monga; Honghai Zhang; Milan Sonka; Girish Bathla
Journal:  Sci Rep       Date:  2021-05-18       Impact factor: 4.379

2.  The Role of 3D-pCASL MRI in the Differential Diagnosis of Glioblastoma and Brain Metastases.

Authors:  Kristina Solozhentseva; Artem Batalov; Natalia Zakharova; Sergey Goryaynov; Eduard Pogosbekyan; Igor Pronin
Journal:  Front Oncol       Date:  2022-04-26       Impact factor: 5.738

3.  Single brain metastasis versus glioblastoma multiforme: a VOI-based multiparametric analysis for differential diagnosis.

Authors:  Andrea Romano; Giulia Moltoni; Alessia Guarnera; Luca Pasquini; Alberto Di Napoli; Antonio Napolitano; Maria Camilla Rossi Espagnet; Alessandro Bozzao
Journal:  Radiol Med       Date:  2022-03-22       Impact factor: 6.313

4.  Differentiating Glioblastoma Multiforme from Brain Metastases Using Multidimensional Radiomics Features Derived from MRI and Multiple Machine Learning Models.

Authors:  Salar Bijari; Amin Jahanbakhshi; Parham Hajishafiezahramini; Parviz Abdolmaleki
Journal:  Biomed Res Int       Date:  2022-09-28       Impact factor: 3.246

5.  Advanced magnetic resonance imaging findings of cerebellar hemangioblastomas: A report of three cases and a literature review.

Authors:  Eiji Matsusue; Chie Inoue; Sadaharu Tabuchi; Hiroki Yoshioka; Yuichiro Nagao; Kensuke Matsumoto; Kazuhiko Nakamura; Shinya Fujii
Journal:  Acta Radiol Open       Date:  2022-03-03
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.