Literature DB >> 33876653

The diagnostic value of intravoxel incoherent motion imaging in differentiating high-grade from low-grade gliomas: a systematic review and meta-analysis.

Hechuan Luo1, Ling He1, Weiqin Cheng1, Sijie Gao1.   

Abstract

OBJECTIVE: This meta-analysis was carried out for assessing the accuracy of intravoxel incoherent motion (IVIM) parameters true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) in differentiating low-grade gliomas (LGGs) from high-grade gliomas (HGGs).
METHODS: Literatures concerning IVIM in the grading of brain gliomas published prior to October 20, 2020, searched in the Embase, PubMed, and Cochrane library. Use the quality assessment of diagnostic accuracy studies 2 (QUADAS 2) to evaluate the quality of studies. We estimated the pooled sensitivity, specificity, and the area under the summary ROC (SROC) curve to identification the accuracy of IVIM parameters D, D*, and f evaluation in grading gliomas.
RESULTS: Totally, 6 articles including 252 brain gliomas conform to the inclusion criteria. The pooled sensitivity of parameters D, D*, and f derived from IVIM were 0.85 (95%Cl, 0.76-0.91), 0.78 (95%Cl, 0.71-0.85), and 0.89 (95%Cl, 0.76-0.96), respectively. The pooled specificity were 0.78 (95%Cl, 0.60-0.90), 0.68 (95%Cl, 0.56-0.79), and 0.88 (95%Cl, 0.76-0.94), respectively. Meanwhile, the AUC of SROC curve were 0.89 (95%Cl, 0.86-0.92) , 0.81 (95%Cl, 0.77-0.84), and 0.94 (95%Cl, 0.92-0.96), respectively.
CONCLUSION: This meta-analysis suggested that IVIM parameters D, D*, and f have moderate or high diagnosis value accuracy in differentiating HGGs from LGGs, and the parameter f has greater sensitivity and specificity. Standardized methodology is warranted to guide the use of this method for clinical decision-making. However, more clinical studies are needed to prove our view. ADVANCES IN KNOWLEDGE: IVIM parameter f showed greater sensitivity and specificity, as well as excellent performance than parameter D* and D.

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Year:  2021        PMID: 33876653      PMCID: PMC8506177          DOI: 10.1259/bjr.20201321

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  30 in total

1.  The perfusion fraction in volunteers and in patients with ischaemic stroke.

Authors:  R Wirestam; S Brockstedt; A Lindgren; B Geijer; C Thomsen; S Holtås; F Ståhlberg
Journal:  Acta Radiol       Date:  1997-11       Impact factor: 1.990

2.  CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2007-2011.

Authors:  Quinn T Ostrom; Haley Gittleman; Peter Liao; Chaturia Rouse; Yanwen Chen; Jacqueline Dowling; Yingli Wolinsky; Carol Kruchko; Jill Barnholtz-Sloan
Journal:  Neuro Oncol       Date:  2014-10       Impact factor: 12.300

3.  CBTRUS Statistical Report: Primary brain and other central nervous system tumors diagnosed in the United States in 2010-2014.

Authors:  Quinn T Ostrom; Haley Gittleman; Peter Liao; Toni Vecchione-Koval; Yingli Wolinsky; Carol Kruchko; Jill S Barnholtz-Sloan
Journal:  Neuro Oncol       Date:  2017-11-06       Impact factor: 12.300

4.  Glioma grading and IDH1 mutational status: assessment by intravoxel incoherent motion MRI.

Authors:  X Wang; X-Z Chen; L Shi; J-P Dai
Journal:  Clin Radiol       Date:  2019-04-20       Impact factor: 2.350

5.  Measuring brain perfusion with intravoxel incoherent motion (IVIM): initial clinical experience.

Authors:  Christian Federau; Kieran O'Brien; Reto Meuli; Patric Hagmann; Philippe Maeder
Journal:  J Magn Reson Imaging       Date:  2013-09-23       Impact factor: 4.813

6.  QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

Authors:  Penny F Whiting; Anne W S Rutjes; Marie E Westwood; Susan Mallett; Jonathan J Deeks; Johannes B Reitsma; Mariska M G Leeflang; Jonathan A C Sterne; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

7.  Intravoxel incoherent motion diffusion-weighted MR imaging of gliomas: efficacy in preoperative grading.

Authors:  Yu-Chuan Hu; Lin-Feng Yan; Lang Wu; Pang Du; Bao-Ying Chen; Liang Wang; Shu-Mei Wang; Yu Han; Qiang Tian; Ying Yu; Tian-Yong Xu; Wen Wang; Guang-Bin Cui
Journal:  Sci Rep       Date:  2014-12-01       Impact factor: 4.379

Review 8.  An evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors.

Authors:  Wen-Fei Li; Chen Niu; Tahir Mehmood Shakir; Tao Chen; Ming Zhang; Zhanqiu Wang
Journal:  Medicine (Baltimore)       Date:  2018-11       Impact factor: 1.889

9.  Comparison of Intravoxel incoherent motion imaging and multiecho dynamic contrast-based MRI in rectal cancer.

Authors:  Kine Mari Bakke; Endre Grøvik; Sebastian Meltzer; Anne Negård; Stein Harald Holmedal; Lars Tore G Mikalsen; Lars Gustav Lyckander; Anne H Ree; Kjell-Inge Gjesdal; Kathrine R Redalen; Atle Bjørnerud
Journal:  J Magn Reson Imaging       Date:  2019-04-04       Impact factor: 4.813

10.  Perfusion, Diffusion, Or Brain Tumor Barrier Integrity: Which Represents The Glioma Features Best?

Authors:  Lin-Feng Yan; Ying-Zhi Sun; Sha-Sha Zhao; Yu-Chuan Hu; Yu Han; Gang Li; Xin Zhang; Qiang Tian; Zhi-Cheng Liu; Yang Yang; Hai-Yan Nan; Ying Yu; Qian Sun; Jin Zhang; Ping Chen; Bo Hu; Fei Li; Teng-Hui Han; Wen Wang; Guang-Bin Cui
Journal:  Cancer Manag Res       Date:  2019-11-27       Impact factor: 3.989

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