Literature DB >> 29530684

Arterial Spin Labeling Method as a Supplemental Predictor to Distinguish Between High- and Low-Grade Gliomas.

Katsuya Komatsu1, Masahiko Wanibuchi2, Takeshi Mikami1, Yukinori Akiyama1, Satoshi Iihoshi1, Kei Miyata1, Toshiya Sugino1, Kengo Suzuki1, Aya Kanno1, Shouhei Noshiro1, Shunya Ohtaki1, Nobuhiro Mikuni1.   

Abstract

BACKGROUND: Preoperative evaluation of malignancy in gliomas is important for surgical planning, particularly to determine whether a 1,3-bis-2-chloroethyl-1-nitrosourea wafer should be placed into the tumor cavity. In some cases, the intraoperative pathologic diagnosis of World Health Organization grade differs from the final diagnosis. Supplemental methods in addition to the routine contrast tomography or magnetic resonance imaging sequences may provide a more accurate preoperative diagnosis. Because tumor vascularity has been useful in distinguishing between low- and high-grade gliomas, we evaluated the accuracy of the arterial spin labeling (ASL) method, which could measure the cerebral blood flow (CBF) without using contrast medium, to determine the malignancy of gliomas.
METHODS: This study included 102 patients with glioma (grade II, n = 40; grade III, n = 18; grade IV, n = 44). All patients underwent ASL to determine the tumor blood flow (TBF) and CBF in the middle cerebral region. The relative tumor vascular index (tVI), which is calculated as TBF divided by CBF in the contralateral middle cerebral region, was used to avoid dispersion of the absolute TBF value.
RESULTS: tVI was significantly greater (1.46 ± 0.751) in high-grade gliomas than in low-grade gliomas (1.05 ± 0.343) (P = 0.003). As for each grade, tVI was statistically higher in grade IV than in grade II (P = 0.03) gliomas.
CONCLUSIONS: The noninvasive ASL method provides additional information to distinguish high-grade glioma from low-grade gliomas without using contrast medium.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Arterial spin labeling; Glioma; Magnetic resonance imaging; Tumor blood flow

Mesh:

Substances:

Year:  2018        PMID: 29530684     DOI: 10.1016/j.wneu.2018.03.015

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  4 in total

1.  Prognostic Value of Preoperative MRI Metrics for Diffuse Lower-Grade Glioma Molecular Subtypes.

Authors:  P Darvishi; P P Batchala; J T Patrie; L M Poisson; M-B Lopes; R Jain; C E Fadul; D Schiff; S H Patel
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-23       Impact factor: 3.825

2.  Preliminary study of multiple b-value diffusion-weighted images and T1 post enhancement magnetic resonance imaging images fusion with Laplacian Re-decomposition (LRD) medical fusion algorithm for glioma grading.

Authors:  Amir Khorasani; Mohamad Bagher Tavakoli; Masih Saboori; Milad Jalilian
Journal:  Eur J Radiol Open       Date:  2021-09-29

Review 3.  Hemodynamic Imaging in Cerebral Diffuse Glioma-Part A: Concept, Differential Diagnosis and Tumor Grading.

Authors:  Lelio Guida; Vittorio Stumpo; 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:  2022-03-10       Impact factor: 6.639

4.  Cerebral and tumoral blood flow in adult gliomas: a systematic review of results from magnetic resonance imaging.

Authors:  Mueez Waqar; Daniel Lewis; Erjon Agushi; Matthew Gittins; Alan Jackson; David Coope
Journal:  Br J Radiol       Date:  2021-06-09       Impact factor: 3.629

  4 in total

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