Literature DB >> 18413825

The use of magnetic resonance imaging to noninvasively detect genetic signatures in oligodendroglioma.

Robert Brown1, Magdalena Zlatescu, Angelique Sijben, Gloria Roldan, Jay Easaw, Peter Forsyth, Ian Parney, Robert Sevick, Elizabeth Yan, Douglas Demetrick, David Schiff, Gregory Cairncross, Ross Mitchell.   

Abstract

BACKGROUND: Some patients with low-grade glioma have extraordinarily long survival times; current, early treatment does not prolong their lives. For this reason, therapies that sometimes have neurologic side effects are often deferred intentionally.
METHODS: In a study of oligodendrogliomas, we used a quantitative method of MR analysis based on the S-transform to investigate whether codeletion of chromosomes 1p and 19q, a marker of good prognosis, could be predicted accurately by measuring image texture.
RESULTS: Differences in texture were seen between tumors with codeletion of chromosomes 1p and 19q and those with intact 1p and 19q alleles on contrast-enhanced T1-weighted and T2-weighted MR images. Quantitative MR texture on T2 images predicted codeletion of chromosomes 1p and 19q with high sensitivity and specificity.
CONCLUSIONS: This new method of MR image interpretation may have the potential to augment the diagnostic assessment of patients with suspected low-grade glioma.

Entities:  

Mesh:

Year:  2008        PMID: 18413825     DOI: 10.1158/1078-0432.CCR-07-1964

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  43 in total

Review 1.  Texture analysis: a review of neurologic MR imaging applications.

Authors:  A Kassner; R E Thornhill
Journal:  AJNR Am J Neuroradiol       Date:  2010-04-15       Impact factor: 3.825

Review 2.  Content-based image retrieval in radiology: current status and future directions.

Authors:  Ceyhun Burak Akgül; Daniel L Rubin; Sandy Napel; Christopher F Beaulieu; Hayit Greenspan; Burak Acar
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

3.  Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results.

Authors:  Sandy A Napel; Christopher F Beaulieu; Cesar Rodriguez; Jingyu Cui; Jiajing Xu; Ankit Gupta; Daniel Korenblum; Hayit Greenspan; Yongjun Ma; Daniel L Rubin
Journal:  Radiology       Date:  2010-05-26       Impact factor: 11.105

Review 4.  Current concepts in the evaluation and management of WHO grade II gliomas.

Authors:  Joseph M Piepmeier
Journal:  J Neurooncol       Date:  2009-04-09       Impact factor: 4.130

5.  Texture analysis of images using a two-dimensional fast time-frequency transform.

Authors:  Chun Hing Cheng; Pyari Mohan Pradhan; Joseph Ross Mitchell
Journal:  J Med Imaging (Bellingham)       Date:  2015-05-21

6.  MRI texture analysis predicts p53 status in head and neck squamous cell carcinoma.

Authors:  M Dang; J T Lysack; T Wu; T W Matthews; S P Chandarana; N T Brockton; P Bose; G Bansal; H Cheng; J R Mitchell; J C Dort
Journal:  AJNR Am J Neuroradiol       Date:  2014-09-25       Impact factor: 3.825

Review 7.  Genetics and imaging of oligodendroglial tumors.

Authors:  Jonathan R Ellenbogen; Carol Walker; Michael D Jenkinson
Journal:  CNS Oncol       Date:  2015-10-19

8.  Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas.

Authors:  Yuqi Han; Zhen Xie; Yali Zang; Shuaitong Zhang; Dongsheng Gu; Mu Zhou; Olivier Gevaert; Jingwei Wei; Chao Li; Hongyan Chen; Jiang Du; Zhenyu Liu; Di Dong; Jie Tian; Dabiao Zhou
Journal:  J Neurooncol       Date:  2018-08-10       Impact factor: 4.130

9.  Neuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade Gliomas.

Authors:  P P Batchala; T J E Muttikkal; J H Donahue; J T Patrie; D Schiff; C E Fadul; E K Mrachek; M-B Lopes; R Jain; S H Patel
Journal:  AJNR Am J Neuroradiol       Date:  2019-01-31       Impact factor: 3.825

Review 10.  Image texture characterization using the discrete orthonormal S-transform.

Authors:  Sylvia Drabycz; Robert G Stockwell; J Ross Mitchell
Journal:  J Digit Imaging       Date:  2008-08-02       Impact factor: 4.056

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