Literature DB >> 28835111

Diagnostic value of apparent diffusion coefficient in differentiating between high-grade gliomas and brain metastases.

Ionut Caravan1, Cristiana Augusta Ciortea2, Alexandra Contis1, Andrei Lebovici1,2.   

Abstract

Background High-grade gliomas (HGGs) and brain metastases (BMs) can display similar imaging characteristics on conventional MRI. In HGGs, the peritumoral edema may be infiltrated by the malignant cells, which was not observed in BMs. Purpose To determine whether the apparent diffusion coefficient values could differentiate HGGs from BMs. Material and Methods Fifty-seven patients underwent conventional magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) before treatment. The minimum and mean ADC in the enhancing tumor (ADCmin, ADCmean) and the minimum ADC in the peritumoral region (ADCedema) were measured from ADC maps. To determine whether there was a statistical difference between groups, ADC values were compared. A receiver operating characteristic (ROC) curve analysis was used to determine the cutoff ADC value for distinguishing between HGGs and BMs. Results The mean ADCmin values in the intratumoral regions of HGGs were significantly higher than those in BMs. No differences were observed between groups regarding ADCmean values. The mean ADCmin values in the peritumoral edema of HGGs were significantly lower than those in BMs. According to ROC curve analysis, a cutoff value of 1.332 × 10-3 mm2/s for the ADCedema generated the best combination of sensitivity (95%) and specificity (84%) for distinguishing between HGGs and BMs. The same value showed a sensitivity of 95.6% and a specificity of 100% for distinguishing between GBMs and BMs. Conclusion ADC values from DWI were found to distinguish between HGGs and solitary BMs. The peritumoral ADC values are better than the intratumoral ADC values in predicting the tumor type.

Entities:  

Keywords:  Diffusion-weighted imaging (DWI); apparent diffusion coefficient (ADC); brain metastasis; high-grade glioma; peritumoral edema

Mesh:

Year:  2017        PMID: 28835111     DOI: 10.1177/0284185117727787

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  16 in total

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Journal:  Abdom Radiol (NY)       Date:  2020-09-15

Review 2.  Radiomics can differentiate high-grade glioma from brain metastasis: a systematic review and meta-analysis.

Authors:  Yuanzhen Li; Yujie Liu; Yingying Liang; Ruili Wei; Wanli Zhang; Wang Yao; Shiwei Luo; Xinrui Pang; Ye Wang; Xinqing Jiang; Shengsheng Lai; Ruimeng Yang
Journal:  Eur Radiol       Date:  2022-05-19       Impact factor: 5.315

3.  The role of apparent diffusion coefficient as a predictive factor for tumor recurrence in patients with cerebellopontine angle epidermoid tumor.

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Journal:  Neurosurg Rev       Date:  2021-09-28       Impact factor: 3.042

4.  Diagnostic role of apparent diffusion coefficient combined with intratumoral susceptibility signals in differentiating high-grade gliomas from brain metastases.

Authors:  Mustafa Bozdağ; Ali Er; Akın Çinkooğlu; Sümeyye Ekmekçi
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Review 5.  Imaging in neuro-oncology.

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Authors:  Na Zhao; Chao Ma; Xiaolong Ye; Nimpagaritse Danie; Caixia Fu; Qiang Hao; Jianping Lu
Journal:  Medicine (Baltimore)       Date:  2019-11       Impact factor: 1.817

7.  Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models.

Authors:  Jiaji Mao; Weike Zeng; Qinyuan Zhang; Zehong Yang; Xu Yan; Huiting Zhang; Mengzhu Wang; Guang Yang; Minxiong Zhou; Jun Shen
Journal:  BMC Med Imaging       Date:  2020-11-23       Impact factor: 1.930

8.  Differentiating High-Grade Gliomas from Brain Metastases at Magnetic Resonance: The Role of Texture Analysis of the Peritumoral Zone.

Authors:  Csaba Csutak; Paul-Andrei Ștefan; Lavinia Manuela Lenghel; Cezar Octavian Moroșanu; Roxana-Adelina Lupean; Larisa Șimonca; Carmen Mihaela Mihu; Andrei Lebovici
Journal:  Brain Sci       Date:  2020-09-16

9.  Distinct tumor signatures using deep learning-based characterization of the peritumoral microenvironment in glioblastomas and brain metastases.

Authors:  Zahra Riahi Samani; Drew Parker; Ronald Wolf; Wes Hodges; Steven Brem; Ragini Verma
Journal:  Sci Rep       Date:  2021-07-14       Impact factor: 4.996

10.  Diagnostic efficacy of apparent diffusion coefficient measurements in differentiation of malignant intra-axial brain tumors

Authors:  İlker Eyüboğlu; İsmet Miraç Çakir; Serdar Aslan; Ahmet Sari
Journal:  Turk J Med Sci       Date:  2021-02-26       Impact factor: 0.973

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