Literature DB >> 28550465

Differential diagnosis of oligodendroglial and astrocytic tumors using imaging results: the added value of perfusion MR imaging.

Hyun Jung Yoon1,2, Kook Jin Ahn3, Song Lee2, Jin Hee Jang2, Hyun Seok Choi2, So Lyung Jung2, Bum Soo Kim2, Shin Soo Jeun4, Yong Kil Hong4.   

Abstract

PURPOSE: The purposes of the present study are to assess whether different characteristics of oligodendrogliomas and astrocytic tumors are visible on MR imaging and to determine the added value of perfusion imaging in conventional MR imaging when differentiating oligodendrogliomas from astrocytic tumors.
METHODS: We retrospectively studied 22 oligodendroglioma and 54 astrocytic tumor patients, including glioblastoma multiforme (GBM). The morphological tumor characteristics were evaluated using MR imaging. The rCBV, K trans, and V e values were recorded. All imaging and clinical values were compared. The ability to discriminate between the two entities was evaluated using receiver operating characteristic curve analyses. Separate comparison analysis between oligodendroglioma and astrocytic tumors excluding GBM was also performed.
RESULTS: The presence of calcification, higher cortex involvement ratio, and lower V e value were more representative of oligodendrogliomas than astrocytic tumors (P = <0.001, 0.038, and <0.001, respectively). The area under the curve (AUC) value of a combination of calcification and cortex involvement ratio was 0.796. The combination of all three parameters, including V e, further increased the diagnostic performance (AUC = 0.881). Comparison test of the two AUC areas revealed significant difference (P = 0.0474). The presence of calcification and higher cortex involvement ratio were the only findings suggestive of oligodendrogliomas than astrocytic tumors with exclusion of GBMs (P = 0.014 and <0.001, respectively).
CONCLUSION: Cortex involvement ratio and the presence of calcification with V e values were diagnostically accurate in identifying oligodendrogliomas. The V e value calculated from dynamic contrast-enhanced MR imaging could be a supportive tool for differentiating between oligodendrogliomas and astrocytic tumors including GBMs.

Entities:  

Keywords:  Dynamic contrast-enhanced MR imaging; K trans; Magnetic resonance imaging; Oligodendroglioma; V e

Mesh:

Substances:

Year:  2017        PMID: 28550465     DOI: 10.1007/s00234-017-1851-x

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  34 in total

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Review 10.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

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1.  Dynamic susceptibility contrast and diffusion MR imaging identify oligodendroglioma as defined by the 2016 WHO classification for brain tumors: histogram analysis approach.

Authors:  Anna Latysheva; Kyrre Eeg Emblem; Petter Brandal; Einar Osland Vik-Mo; Jens Pahnke; Kjetil Røysland; John K Hald; Andrés Server
Journal:  Neuroradiology       Date:  2019-02-02       Impact factor: 2.804

2.  Comparative evaluation of intracranial oligodendroglioma and astrocytoma of similar grades using conventional and T1-weighted DCE-MRI.

Authors:  Mamta Gupta; Abhinav Gupta; Virendra Yadav; Suhail P Parvaze; Anup Singh; Jitender Saini; Rana Patir; Sandeep Vaishya; Sunita Ahlawat; Rakesh Kumar Gupta
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3.  Neuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade Gliomas.

Authors:  P P Batchala; T J E Muttikkal; J H Donahue; J T Patrie; D Schiff; C E Fadul; E K Mrachek; M-B Lopes; R Jain; S H Patel
Journal:  AJNR Am J Neuroradiol       Date:  2019-01-31       Impact factor: 3.825

4.  Correction to: Advanced imaging in adult diffusely infiltrating low-grade gliomas.

Authors:  Nail Bulakbaşı; Yahya Paksoy
Journal:  Insights Imaging       Date:  2020-04-22

Review 5.  Advanced imaging in adult diffusely infiltrating low-grade gliomas.

Authors:  Nail Bulakbaşı; Yahya Paksoy
Journal:  Insights Imaging       Date:  2019-12-18

Review 6.  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

7.  Microvascular characteristics of lower-grade diffuse gliomas: investigating vessel size imaging for differentiating grades and subtypes.

Authors:  Hong Guo; Houyi Kang; Haipeng Tong; Xuesong Du; Heng Liu; Yong Tan; Yizeng Yang; Sumei Wang; Weiguo Zhang
Journal:  Eur Radiol       Date:  2018-10-01       Impact factor: 5.315

  7 in total

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