Literature DB >> 23348763

Differentiation of primary central nervous system lymphomas and glioblastomas: comparisons of diagnostic performance of dynamic susceptibility contrast-enhanced perfusion MR imaging without and with contrast-leakage correction.

C H Toh1, K-C Wei, C-N Chang, S-H Ng, H-F Wong.   

Abstract

BACKGROUND AND
PURPOSE: Contrast leakage results in underestimation of the CBV of brain tumors. Our aim was to compare the diagnostic performance of DSC perfusion MR imaging without and with mathematic contrast-leakage correction in differentiating PCNSLs and glioblastomas.
MATERIALS AND METHODS: Perfusion parameters-CBV, corrected CBV, and leakage coefficient-were measured in enhancing tumor portions and contralateral NAWM of 15 PCNSLs and 20 glioblastomas, respectively. The ratios of CBV and corrected CBV were calculated by dividing the tumor values by those obtained from contralateral NAWM. A paired t test was used to compare tumor K2 and NAWM K2, as well as tumor CBV ratios without and with leakage correction. Comparisons of CBV, corrected CBV, and K2 between PCNSLs and glioblastomas were done by using a 2-sample t test. The diagnostic performance of DSC perfusion MR imaging without and with contrast-leakage correction was assessed with receiver operating characteristic curve analysis.
RESULTS: PCNSLs and glioblastomas demonstrated higher K2 than those in their contralateral NAWM. Corrected CBV ratios were significantly higher than the uncorrected ones for both tumors. PCNSLs had lower CBV ratios (P < .001), lower corrected CBV ratios (P < .001), and higher K2 (P = .001) compared with glioblastomas. In differentiating between PCNSLs and glioblastomas, the area under the curve of the CBV ratio, corrected CBV ratio, and K2 were 0.984, 0.940, and 0.788, respectively.
CONCLUSIONS: PCNSL can be differentiated from glioblastoma with CBV ratios, corrected CBV ratios, and K2. CBV without contrast-leakage correction seems to have the best diagnostic performance in differentiating the 2 tumors.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23348763      PMCID: PMC7964581          DOI: 10.3174/ajnr.A3383

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  23 in total

1.  Percentage signal recovery derived from MR dynamic susceptibility contrast imaging is useful to differentiate common enhancing malignant lesions of the brain.

Authors:  R Mangla; B Kolar; T Zhu; J Zhong; J Almast; S Ekholm
Journal:  AJNR Am J Neuroradiol       Date:  2011-04-21       Impact factor: 3.825

2.  Capillary physiology and drug delivery in central nervous system lymphomas.

Authors:  Peter C Warnke; Jens Timmer; Christoph B Ostertag; Klaus Kopitzki
Journal:  Ann Neurol       Date:  2005-01       Impact factor: 10.422

Review 3.  Central nervous system lymphoma: characteristic findings on traditional and advanced imaging.

Authors:  I S Haldorsen; A Espeland; E-M Larsson
Journal:  AJNR Am J Neuroradiol       Date:  2010-07-08       Impact factor: 3.825

4.  Differentiation among glioblastoma multiforme, solitary metastatic tumor, and lymphoma using whole-tumor histogram analysis of the normalized cerebral blood volume in enhancing and perienhancing lesions.

Authors:  J H Ma; H S Kim; N-J Rim; S-H Kim; K-G Cho
Journal:  AJNR Am J Neuroradiol       Date:  2010-06-25       Impact factor: 3.825

5.  Angiogenesis in primary central nervous system lymphoma (PCNSL).

Authors:  Hiroaki Takeuchi; Ken Matsuda; Ryuhei Kitai; Kazufumi Sato; Toshihiko Kubota
Journal:  J Neurooncol       Date:  2007-04-04       Impact factor: 4.130

Review 6.  Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response.

Authors:  James M Provenzale; Srinivasan Mukundan; Daniel P Barboriak
Journal:  Radiology       Date:  2006-06       Impact factor: 11.105

7.  Differentiation between glioblastomas, solitary brain metastases, and primary cerebral lymphomas using diffusion tensor and dynamic susceptibility contrast-enhanced MR imaging.

Authors:  S Wang; S Kim; S Chawla; R L Wolf; D E Knipp; A Vossough; D M O'Rourke; K D Judy; H Poptani; E R Melhem
Journal:  AJNR Am J Neuroradiol       Date:  2011-02-17       Impact factor: 3.825

8.  The Role of preload and leakage correction in gadolinium-based cerebral blood volume estimation determined by comparison with MION as a criterion standard.

Authors:  J L Boxerman; D E Prah; E S Paulson; J T Machan; D Bedekar; K M Schmainda
Journal:  AJNR Am J Neuroradiol       Date:  2012-02-09       Impact factor: 3.825

9.  Primary cerebral lymphoma and glioblastoma multiforme: differences in diffusion characteristics evaluated with diffusion tensor imaging.

Authors:  C-H Toh; M Castillo; A M-C Wong; K-C Wei; H-F Wong; S-H Ng; Y-L Wan
Journal:  AJNR Am J Neuroradiol       Date:  2007-12-07       Impact factor: 3.825

10.  Differentiation of glioblastoma multiforme and single brain metastasis by peak height and percentage of signal intensity recovery derived from dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.

Authors:  S Cha; J M Lupo; M-H Chen; K R Lamborn; M W McDermott; M S Berger; S J Nelson; W P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  2007 Jun-Jul       Impact factor: 3.825

View more
  30 in total

1.  Role of rCBV values derived from dynamic susceptibility contrast-enhanced magnetic resonance imaging in differentiating CNS lymphoma from high grade glioma: a meta-analysis.

Authors:  Ruofei Liang; Mao Li; Xiang Wang; Jiewen Luo; Yuan Yang; Qing Mao; Yanhui Liu
Journal:  Int J Clin Exp Med       Date:  2014-12-15

2.  ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.

Authors:  K Welker; J Boxerman; A Kalnin; T Kaufmann; M Shiroishi; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-23       Impact factor: 3.825

3.  Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach.

Authors:  Hie Bum Suh; Yoon Seong Choi; Sohi Bae; Sung Soo Ahn; Jong Hee Chang; Seok-Gu Kang; Eui Hyun Kim; Se Hoon Kim; Seung-Koo Lee
Journal:  Eur Radiol       Date:  2018-04-06       Impact factor: 5.315

Review 4.  Accuracy of percentage of signal intensity recovery and relative cerebral blood volume derived from dynamic susceptibility-weighted, contrast-enhanced MRI in the preoperative diagnosis of cerebral tumours.

Authors:  Ananya Chakravorty; Timothy Steel; Joga Chaganti
Journal:  Neuroradiol J       Date:  2015-10-16

Review 5.  Advances in Primary Central Nervous System Lymphoma.

Authors:  Lauren B Patrick; Nimish A Mohile
Journal:  Curr Oncol Rep       Date:  2015-12       Impact factor: 5.075

6.  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

7.  Assessment of angiographic vascularity of meningiomas with dynamic susceptibility contrast-enhanced perfusion-weighted imaging and diffusion tensor imaging.

Authors:  C H Toh; K-C Wei; C N Chang; Y-W Peng; S-H Ng; H-F Wong; C-P Lin
Journal:  AJNR Am J Neuroradiol       Date:  2013-07-25       Impact factor: 3.825

8.  On the Use of DSC-MRI for Measuring Vascular Permeability.

Authors:  J T Skinner; P L Moots; G D Ayers; C C Quarles
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-01       Impact factor: 3.825

9.  The diagnostic accuracy of multiparametric MRI to determine pediatric brain tumor grades and types.

Authors:  Mériam Koob; Nadine Girard; Badih Ghattas; Slim Fellah; Sylviane Confort-Gouny; Dominique Figarella-Branger; Didier Scavarda
Journal:  J Neurooncol       Date:  2016-01-05       Impact factor: 4.130

10.  Evaluation of microvascular permeability with dynamic contrast-enhanced MRI for the differentiation of primary CNS lymphoma and glioblastoma: radiologic-pathologic correlation.

Authors:  P Kickingereder; F Sahm; B Wiestler; M Roethke; S Heiland; H-P Schlemmer; W Wick; A von Deimling; M Bendszus; A Radbruch
Journal:  AJNR Am J Neuroradiol       Date:  2014-04-10       Impact factor: 3.825

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.