Literature DB >> 24697149

Atypical imaging features of primary central nervous system lymphoma that mimics glioblastoma: utility of intravoxel incoherent motion MR imaging.

Chong Hyun Suh1, Ho Sung Kim, Seung Soo Lee, Namkug Kim, Hee Mang Yoon, Choong-Gon Choi, Sang Joon Kim.   

Abstract

PURPOSE: To determine the utility of intravoxel incoherent motion (IVIM)-derived perfusion and diffusion parameters for differentiation of atypical primary central nervous system lymphoma (PCNSL) from glioblastoma in patients who do not have acquired immunodeficiency syndrome.
MATERIALS AND METHODS: The institutional review board approved this retrospective study and waived the informed consent requirement. Sixty patients with either pathologic analysis-confirmed atypical PCNSLs (n = 19) or glioblastomas (n = 41) were assessed by using maximum IVIM-derived perfusion fraction (f) and minimum true IVIM diffusion parameter (D). Two readers independently calculated IVIM parameters and maximum normalized cerebral blood volume (nCBV) and minimum apparent diffusion coefficient. Leave-one-out cross-validation and intraclass correlation coefficients were assessed to determine reliability and reproducibility of the parameters, respectively.
RESULTS: Mean maximum f was significantly higher in the glioblastoma group than in the atypical PCNSL group (reader 1, 0.101 ± 0.016 [standard deviation] vs 0.021 ± 0.010; P < .001; reader 2: 0.107 ± 0.024 vs 0.027 ± 0.015; P < .001). Mean minimum D did not significantly differ between the two groups (reader 1, P = .202; reader 2, P = .091). By using maximum f as a discriminative index, respective sensitivity and specificity were 89.5% and 95.1% for reader 1 and 84.2% and 95.1% for reader 2. There was a significant positive correlation between maximum f and the corresponding nCBV (r = 0.68; P < .001). The intraclass correlation coefficient between readers was highest for measurement of maximum f (intraclass correlation coefficient, 0.92).
CONCLUSION: IVIM imaging can be used as a noninvasive imaging method to differentiate malignant brain tumors that show similar conventional MR imaging features.

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Year:  2014        PMID: 24697149     DOI: 10.1148/radiol.14131895

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  21 in total

1.  Intravoxel incoherent motion diffusion-weighted imaging of resectable oesophageal squamous cell carcinoma: association with tumour stage.

Authors:  Yu-Cheng Huang; Tian-Wu Chen; Xiao-Ming Zhang; Nan-Lin Zeng; Rui Li; Yu-Lian Tang; Fan Chen; Yan-Li Chen
Journal:  Br J Radiol       Date:  2018-02-05       Impact factor: 3.039

2.  Temporal evolution of perfusion parameters in brain metastases treated with stereotactic radiosurgery: comparison of intravoxel incoherent motion and dynamic contrast enhanced MRI.

Authors:  Anish Kapadia; Hatef Mehrabian; John Conklin; Sean P Symons; Pejman J Maralani; Greg J Stanisz; Arjun Sahgal; Hany Soliman; Chinthaka C Heyn
Journal:  J Neurooncol       Date:  2017-07-01       Impact factor: 4.130

3.  Accuracy of apparent diffusion coefficients and enhancement ratios on magnetic resonance imaging in differentiating primary cerebral lymphomas from glioblastoma.

Authors:  Shayan Sirat Maheen Anwar; Mirza Zain Baig; Altaf Ali Laghari; Fatima Mubarak; Muhammad Shahzad Shamim; Umaima Ayesha Jilani; Muhammad Usman Khalid
Journal:  Neuroradiol J       Date:  2019-06-12

4.  Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation.

Authors:  Daesung Kang; Ji Eun Park; Young-Hoon Kim; Jeong Hoon Kim; Joo Young Oh; Jungyoun Kim; Yikyung Kim; Sung Tae Kim; Ho Sung Kim
Journal:  Neuro Oncol       Date:  2018-08-02       Impact factor: 12.300

5.  Molecular MRI differentiation between primary central nervous system lymphomas and high-grade gliomas using endogenous protein-based amide proton transfer MR imaging at 3 Tesla.

Authors:  Shanshan Jiang; Hao Yu; Xianlong Wang; Shilong Lu; Yufa Li; Lyujin Feng; Yi Zhang; Hye-Young Heo; Dong-Hoon Lee; Jinyuan Zhou; Zhibo Wen
Journal:  Eur Radiol       Date:  2015-04-30       Impact factor: 5.315

6.  Evidence of the diffusion time dependence of intravoxel incoherent motion in the brain.

Authors:  Dan Wu; Jiangyang Zhang
Journal:  Magn Reson Med       Date:  2019-07-02       Impact factor: 4.668

7.  IVIM perfusion fraction is prognostic for survival in brain glioma.

Authors:  Christian Federau; Milena Cerny; Marion Roux; Pascal J Mosimann; Philippe Maeder; Reto Meuli; Max Wintermark
Journal:  Clin Neuroradiol       Date:  2016-04-26       Impact factor: 3.649

8.  Assessment of microvessel perfusion of pituitary adenomas: a feasibility study using turbo spin-echo-based intravoxel incoherent motion imaging.

Authors:  Kiyohisa Kamimura; Masanori Nakajo; Tomohide Yoneyama; Yoshihiko Fukukura; Shingo Fujio; Yuko Goto; Takashi Iwanaga; Yuta Akamine; Takashi Yoshiura
Journal:  Eur Radiol       Date:  2019-12-10       Impact factor: 5.315

9.  Utility of histogram analysis of ADC maps for differentiating orbital tumors.

Authors:  Xiao-Quan Xu; Hao Hu; Guo-Yi Su; Hu Liu; Xun-Ning Hong; Hai-Bin Shi; Fei-Yun Wu
Journal:  Diagn Interv Radiol       Date:  2016 Mar-Apr       Impact factor: 2.630

10.  Comparison of Apparent Diffusion Coefficient and Intravoxel Incoherent Motion for Differentiating among Glioblastoma, Metastasis, and Lymphoma Focusing on Diffusion-Related Parameter.

Authors:  Woo Hyun Shim; Ho Sung Kim; Choong-Gon Choi; Sang Joon Kim
Journal:  PLoS One       Date:  2015-07-30       Impact factor: 3.240

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