Literature DB >> 33098284

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

İlker Eyüboğlu1, İsmet Miraç Çakir2, Serdar Aslan2, Ahmet Sari1.   

Abstract

Background/aim: To evaluate diagnostic efficacy of the apparent diffusion coefficient measurements from tumor (ADCt) and tumor circumference hyperintensities (ADCtch) in different types of malignant intra-axial brain tumors. Materials and methods: Between April 2013 and June 2017, 125 patients (52 females (41.6%) and 73 males (58.4%); mean age: 53 years, age range: 14-81 years), who underwent diffusion-weighted imaging (DWI) with intracranial mass, were retrospectively evaluated. The mean ADCt and ADCtch values and ratios were measured.
Results: Of the 125 patients, 22 (17.6%) had a low-grade glioma (LGG), 55 (44%) had a high-grade glioma (HGG), 32 (25.6%) had metastasis, and 16 (12.8%) had lymphoma diagnosis. There was a statistically significant difference in LGG and HGG in terms of mean ADCt and mean ADCtch values, and ratios. ADCtch values and ratios showed a statistically significant difference in the differentiation of HGG and metastasis and in the differentiation of HGG and lymphoma. According to ROC curve analysis, a cut-off value of 1.49 × 10−3 mm2/s for the mean ADCtch value generated the best combination of 70% sensitivity and 71% specificity for differentiation of HGGs and metastasis. The mean ADCtch value had the highest statistical predictive value for differentiation of HGGs and lymphoma with a sensitivity of 78% and a specificity of 76% for the optimal cut-off value of 0.82 × 10ˉ3 mm2/s.
Conclusion: The mean ADCt ratio allowed reliable differentiation of LGG and high grade brain tumors, including HGGs, metastases, and lymphoma. The mean ADCtch might be a better imaging biomarker in the differentiation of HHG from metastasis and lymphoma. This work is licensed under a Creative Commons Attribution 4.0 International License.

Entities:  

Keywords:  apparent diffusion coefficient; diffusion-weighted imaging; magnetic resonance imaging; Brain tumors

Year:  2021        PMID: 33098284      PMCID: PMC7991875          DOI: 10.3906/sag-2006-1

Source DB:  PubMed          Journal:  Turk J Med Sci        ISSN: 1300-0144            Impact factor:   0.973


  21 in total

1.  Minimum apparent diffusion coefficients in the evaluation of brain tumors.

Authors:  Omer Kitis; Hakan Altay; Cem Calli; Nilgun Yunten; Taner Akalin; Taskin Yurtseven
Journal:  Eur J Radiol       Date:  2005-09       Impact factor: 3.528

2.  The role of diffusion-weighted imaging in patients with brain tumors.

Authors:  K Kono; Y Inoue; K Nakayama; M Shakudo; M Morino; K Ohata; K Wakasa; R Yamada
Journal:  AJNR Am J Neuroradiol       Date:  2001 Jun-Jul       Impact factor: 3.825

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

Authors:  Ionut Caravan; Cristiana Augusta Ciortea; Alexandra Contis; Andrei Lebovici
Journal:  Acta Radiol       Date:  2017-08-23       Impact factor: 1.990

4.  Lymphomas and glioblastomas: differences in the apparent diffusion coefficient evaluated with high b-value diffusion-weighted magnetic resonance imaging at 3T.

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Journal:  Eur J Radiol       Date:  2010-12-03       Impact factor: 3.528

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Journal:  Clin Radiol       Date:  2002-03       Impact factor: 2.350

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Journal:  Diagn Interv Imaging       Date:  2016-12-28       Impact factor: 4.026

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Authors:  Philipp Kickingereder; Benedikt Wiestler; Felix Sahm; Sabine Heiland; Matthias Roethke; Heinz-Peter Schlemmer; Wolfgang Wick; Martin Bendszus; Alexander Radbruch
Journal:  Radiology       Date:  2014-05-03       Impact factor: 11.105

8.  MR imaging of high-grade cerebral gliomas: value of diffusion-weighted echoplanar pulse sequences.

Authors:  R D Tien; G J Felsberg; H Friedman; M Brown; J MacFall
Journal:  AJR Am J Roentgenol       Date:  1994-03       Impact factor: 3.959

9.  Quantitative diffusion MR imaging of cerebral tumor and edema.

Authors:  M Eis; T Els; M Hoehn-Berlage; K A Hossmann
Journal:  Acta Neurochir Suppl (Wien)       Date:  1994

10.  Perfusion and diffusion MR imaging in enhancing malignant cerebral tumors.

Authors:  Cem Calli; Omer Kitis; Nilgun Yunten; Taskin Yurtseven; Sertac Islekel; Taner Akalin
Journal:  Eur J Radiol       Date:  2006-03-09       Impact factor: 3.528

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