Literature DB >> 28439776

Preoperative grading of supratentorial nonenhancing gliomas by high b-value diffusion-weighted 3 T magnetic resonance imaging.

Haiwei Han1,2, Chengkun Han2, Xiurong Wu2, Shan Zhong3, Xiongjie Zhuang2, Guowei Tan4, Hua Wu5.   

Abstract

The purpose of this study was to determine the difference in discrimination between high- and low-grade supratentorial nonenhancing gliomas (HGGs and LGGs, respectively) when using apparent diffusion coefficient (ADC) values with high or standard b-value. Thirty-nine patients underwent conventional magnetic resonance imaging and diffusion-weighted imaging (DWI) with standard and high b-values (b = 1000 and 3000 s/mm2, respectively). Minimum, maximum, and mean ADC values (ADCMIN, ADCMAX, and ADCMEAN, respectively) were measured from ADC maps with both b-values. Receiver operating curve analysis was used to determine the cutoff ADC values for distinguishing between nonenhancing HGGs and LGGs. ADCMIN, ADCMAX, and ADCMEAN values for the nonenhancing HGGs were lower than those for LGGs. These differences were much larger when a high b-value was used (all P < 0.0001) than when a standard b-value was used (P = 0.0001, <0.0001, and <0.0001, respectively). Discriminant analysis indicated that the greatest likelihood for discriminating HGGs and LGGs when ADCMEAN was obtained with a high b-value, with cutoff value of 0.814 × 10-3 mm2/s. ADC values obtained with a high b-value can be useful for grading and surgical management of nonenhancing HGGs and LGGs. The lowest degree of overlap was obtained when ADCMEAN was determined with a b-value of 3000 s/mm2.

Entities:  

Keywords:  Diffusion-weighted imaging; High b-value; Nonenhancing low-grade glioma, standard b-value; Supratentorial nonenhancing high-grade glioma

Mesh:

Year:  2017        PMID: 28439776     DOI: 10.1007/s11060-017-2423-y

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  34 in total

1.  High-b-value diffusion-weighted MR imaging of adult brain: image contrast and apparent diffusion coefficient map features.

Authors:  M C DeLano; T G Cooper; J E Siebert; M J Potchen; K Kuppusamy
Journal:  AJNR Am J Neuroradiol       Date:  2000 Nov-Dec       Impact factor: 3.825

2.  Managing intracranial incidental findings suggestive of low-grade glioma: learning from experience.

Authors:  Ashish H Shah; Karthik Madhavan; Ananth Sastry; Ricardo J Komotar
Journal:  World Neurosurg       Date:  2012-06-19       Impact factor: 2.104

3.  High b-value diffusion (b = 3000 s/mm2) MR imaging in cerebral gliomas at 3T: visual and quantitative comparisons with b = 1000 s/mm2.

Authors:  H S Seo; K-H Chang; D G Na; B J Kwon; D H Lee
Journal:  AJNR Am J Neuroradiol       Date:  2007-12-07       Impact factor: 3.825

4.  Can tumor contrast enhancement be used as a criterion for differentiating tumor grades of oligodendrogliomas?

Authors:  Matthew L White; Yan Zhang; Patricia Kirby; Timothy C Ryken
Journal:  AJNR Am J Neuroradiol       Date:  2005-04       Impact factor: 3.825

5.  MR diffusion tensor and perfusion-weighted imaging in preoperative grading of supratentorial nonenhancing gliomas.

Authors:  Xiang Liu; Wei Tian; Balasubramanya Kolar; Gabrielle A Yeaney; Xing Qiu; Mahlon D Johnson; Sven Ekholm
Journal:  Neuro Oncol       Date:  2011-02-04       Impact factor: 12.300

6.  Gliomas: Histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging--correlation with tumor grade.

Authors:  Yusuhn Kang; Seung Hong Choi; Young-Jae Kim; Kwang Gi Kim; Chul-Ho Sohn; Ji-Hoon Kim; Tae Jin Yun; Kee-Hyun Chang
Journal:  Radiology       Date:  2011-10-03       Impact factor: 11.105

7.  Investigating brain tumor differentiation with diffusion and perfusion metrics at 3T MRI using pattern recognition techniques.

Authors:  Patricia Svolos; Evangelia Tsolaki; Eftychia Kapsalaki; Kyriaki Theodorou; Kostas Fountas; Ioannis Fezoulidis; Ioannis Tsougos
Journal:  Magn Reson Imaging       Date:  2013-07-30       Impact factor: 2.546

8.  Correlation of magnetic resonance spectroscopic and growth characteristics within Grades II and III gliomas.

Authors:  Tracy R McKnight; Kathleen R Lamborn; Tonya D Love; Mitchel S Berger; Susan Chang; William P Dillon; Andrew Bollen; Sarah J Nelson
Journal:  J Neurosurg       Date:  2007-04       Impact factor: 5.115

9.  Preoperative histological grading of meningiomas using apparent diffusion coefficient at 3T MRI.

Authors:  Yosuke Watanabe; Fumiyuki Yamasaki; Yoshinori Kajiwara; Takeshi Takayasu; Ryo Nosaka; Yuji Akiyama; Kazuhiko Sugiyama; Kaoru Kurisu
Journal:  Eur J Radiol       Date:  2013-01-10       Impact factor: 3.528

10.  Preoperative grading of presumptive low-grade astrocytomas on MR imaging: diagnostic value of minimum apparent diffusion coefficient.

Authors:  E J Lee; S K Lee; R Agid; J M Bae; A Keller; K Terbrugge
Journal:  AJNR Am J Neuroradiol       Date:  2008-08-21       Impact factor: 3.825

View more
  9 in total

1.  Apparent diffusion coefficient maps obtained from high b value diffusion-weighted imaging in the preoperative evaluation of gliomas at 3T: comparison with standard b value diffusion-weighted imaging.

Authors:  Qiang Zeng; Fei Dong; Feina Shi; Chenhan Ling; Biao Jiang; Jianmin Zhang
Journal:  Eur Radiol       Date:  2017-06-21       Impact factor: 5.315

2.  Efficiency of High and Standard b Value Diffusion-Weighted Magnetic Resonance Imaging in Grading of Gliomas.

Authors:  Mansour Al-Agha; Khaled Abushab; Khetam Quffa; Samy Al-Agha; Yasser Alajerami; Mohammed Tabash
Journal:  J Oncol       Date:  2020-09-14       Impact factor: 4.375

Review 3.  Essential Management of Pediatric Brain Tumors.

Authors:  Katharina Lutz; Stephanie T Jünger; Martina Messing-Jünger
Journal:  Children (Basel)       Date:  2022-04-02

4.  Noninvasively evaluating the grading and IDH1 mutation status of diffuse gliomas by three-dimensional pseudo-continuous arterial spin labeling and diffusion-weighted imaging.

Authors:  Tingting Liu; Guang Cheng; Xiaowei Kang; Yibin Xi; Yuanqiang Zhu; Kai Wang; Chao Sun; Jing Ye; Ping Li; Hong Yin
Journal:  Neuroradiology       Date:  2018-05-18       Impact factor: 2.804

5.  Microstructural white matter alterations in Alzheimer's disease and amnestic mild cognitive impairment and its diagnostic value based on diffusion kurtosis imaging: a tract-based spatial statistics study.

Authors:  Tongtong Li; Yu Zhang; Xiuwei Fu; Xianchang Zhang; Yuan Luo; Hongyan Ni
Journal:  Brain Imaging Behav       Date:  2021-04-24       Impact factor: 3.978

6.  Magnetic resonance biomarkers in radiation oncology: The report of AAPM Task Group 294.

Authors:  Kiaran P McGee; Ken-Pin Hwang; Daniel C Sullivan; John Kurhanewicz; Yanle Hu; Jihong Wang; Wen Li; Josef Debbins; Eric Paulson; Jeffrey R Olsen; Chia-Ho Hua; Lizette Warner; Daniel Ma; Eduardo Moros; Neelam Tyagi; Caroline Chung
Journal:  Med Phys       Date:  2021-05-20       Impact factor: 4.071

Review 7.  Imaging in neuro-oncology.

Authors:  Hari Nandu; Patrick Y Wen; Raymond Y Huang
Journal:  Ther Adv Neurol Disord       Date:  2018-02-28       Impact factor: 6.570

8.  Multi-parametric arterial spin labelling and diffusion-weighted magnetic resonance imaging in differentiation of grade II and grade III gliomas.

Authors:  Ahmed Abdel Khalek Abdel Razek; Lamiaa Galal El-Serougy; Mohamed A Abdelsalam; Gada Mohamed Gaballa; Mona Mohamed Talaat
Journal:  Pol J Radiol       Date:  2020-02-21

9.  Accuracy of ADC derived from DWI for differentiating high-grade from low-grade gliomas: Systematic review and meta-analysis.

Authors:  Qiang-Ping Wang; De-Qiang Lei; Ye Yuan; Nan-Xiang Xiong
Journal:  Medicine (Baltimore)       Date:  2020-02       Impact factor: 1.817

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.