BACKGROUND AND PURPOSE: Pretherapeutic determination of tumor grade and genotype in grade II and III oligodendroglial tumors is clinically important but is still challenging. Tumor grade and 1p/19q status are currently the 2 most important factors in therapeutic decision making for patients with these tumors. Histopathology and cMRI studies are still limited in some cases. In the present study, we were interested in determining whether the combination of PWI, DWI, and MR spectroscopy could help distinguish oligodendroglial tumors according to their histopathologic grade and genotype. MATERIALS AND METHODS: We retrospectively reviewed 50 adult patients with grade II and III oligodendrogliomas and oligoastrocytomas who had DWI, PWI, and MR spectroscopy at short and long TE data and known 1p/19q status. Univariate analyses and multivariate random forest models were performed to determine which criteria could differentiate between grades and genotypes. RESULTS: ADC, rCBV, rCBF, and rK2 were significantly different between grade II and III oligodendroglial tumors. DWI, PWI, and MR spectroscopy showed no significant difference between tumors with and without 1p/19q loss. Separation between tumor grades and genotypes with cMRI alone showed 31% and 48% misclassification rates, respectively. Multimodal MR imaging helps to determine tumor grade and 1p/19q genotype more accurately (misclassification rates of 17% and 40%, respectively). CONCLUSIONS: Although multimodal investigation of oligodendroglial tumors has a lower contribution to 1p/19q genotyping compared with cMRI alone, it greatly improves the accuracy of grading of these neoplasms. Use of multimodal MR imaging could thus provide valuable information that may assist clinicians in patient preoperative management and treatment decision making.
BACKGROUND AND PURPOSE: Pretherapeutic determination of tumor grade and genotype in grade II and III oligodendroglial tumors is clinically important but is still challenging. Tumor grade and 1p/19q status are currently the 2 most important factors in therapeutic decision making for patients with these tumors. Histopathology and cMRI studies are still limited in some cases. In the present study, we were interested in determining whether the combination of PWI, DWI, and MR spectroscopy could help distinguish oligodendroglial tumors according to their histopathologic grade and genotype. MATERIALS AND METHODS: We retrospectively reviewed 50 adult patients with grade II and III oligodendrogliomas and oligoastrocytomas who had DWI, PWI, and MR spectroscopy at short and long TE data and known 1p/19q status. Univariate analyses and multivariate random forest models were performed to determine which criteria could differentiate between grades and genotypes. RESULTS: ADC, rCBV, rCBF, and rK2 were significantly different between grade II and III oligodendroglial tumors. DWI, PWI, and MR spectroscopy showed no significant difference between tumors with and without 1p/19q loss. Separation between tumor grades and genotypes with cMRI alone showed 31% and 48% misclassification rates, respectively. Multimodal MR imaging helps to determine tumor grade and 1p/19q genotype more accurately (misclassification rates of 17% and 40%, respectively). CONCLUSIONS: Although multimodal investigation of oligodendroglial tumors has a lower contribution to 1p/19q genotyping compared with cMRI alone, it greatly improves the accuracy of grading of these neoplasms. Use of multimodal MR imaging could thus provide valuable information that may assist clinicians in patient preoperative management and treatment decision making.
Authors: J S Smith; A Perry; T J Borell; H K Lee; J O'Fallon; S M Hosek; D Kimmel; A Yates; P C Burger; B W Scheithauer; R B Jenkins Journal: J Clin Oncol Date: 2000-02 Impact factor: 44.544
Authors: Stephan G Wetzel; Soonmee Cha; Glyn Johnson; Peter Lee; Meng Law; David L Kasow; Sean D Pierce; Xiaonan Xue Journal: Radiology Date: 2002-09 Impact factor: 11.105
Authors: R K Gupta; T F Cloughesy; U Sinha; J Garakian; J Lazareff; G Rubino; L Rubino; D P Becker; H V Vinters; J R Alger Journal: J Neurooncol Date: 2000-12 Impact factor: 4.130
Authors: Gurpreet S Kapoor; Timothy A Gocke; Sanjeev Chawla; Robert G Whitmore; Ali Nabavizadeh; Jaroslaw Krejza; Joanna Lopinto; Justin Plaum; Eileen Maloney-Wilensky; Harish Poptani; Elias R Melhem; Kevin D Judy; Donald M O'Rourke Journal: J Neurooncol Date: 2009-04-09 Impact factor: 4.130
Authors: Meng Law; Stanley Yang; James S Babb; Edmond A Knopp; John G Golfinos; David Zagzag; Glyn Johnson Journal: AJNR Am J Neuroradiol Date: 2004-05 Impact factor: 3.825
Authors: S Chawla; S Wang; R L Wolf; J H Woo; J Wang; D M O'Rourke; K D Judy; M S Grady; E R Melhem; H Poptani Journal: AJNR Am J Neuroradiol Date: 2007-09-24 Impact factor: 3.825
Authors: Michael D Jenkinson; Trevor S Smith; Andrew R Brodbelt; Kathy A Joyce; Peter C Warnke; Carol Walker Journal: J Magn Reson Imaging Date: 2007-12 Impact factor: 4.813
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