Decoding the interdependence of multiparametric magnetic resonance imaging to reveal patient subgroups correlated with survivals
van Dijken, BR
AffiliationCambridge Brain Tumor Imaging Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
MetadataShow full item record
AbstractGlioblastoma is highly heterogeneous in microstructure and vasculature, creating various tumor microenvironments among patients, which may lead to different phenotypes. The purpose was to interrogate the interdependence of microstructure and vasculature using perfusion and diffusion imaging and to investigate the utility of this approach in tumor invasiveness assessment. A total of 115 primary glioblastoma patients were prospectively recruited for preoperative magnetic resonance imaging (MRI) and surgery. Apparent diffusion coefficient (ADC) was calculated from diffusion imaging, and relative cerebral blood volume (rCBV) was calculated from perfusion imaging. The empirical copula transform was applied to ADC and rCBV voxels in the contrast-enhancing tumor region to obtain their joint distribution, which was discretized to extract second-order features for an unsupervised hierarchical clustering. The lactate levels of patient subgroups, measured by MR spectroscopy, were compared. Survivals were analyzed using Kaplan-Meier and multivariate Cox regression analyses. The results showed that three patient subgroups were identified by the unsupervised clustering. These subtypes showed no significant differences in clinical characteristics but were significantly different in lactate level and patient survivals. Specifically, the subtype demonstrating high interdependence of ADC and rCBV displayed a higher lactate level than the other two subtypes (P?=?.016 and P?=?.044, respectively). Both subtypes of low and high interdependence showed worse progression-free survival than the intermediate (P?=?.046 and P?=?.009 respectively). Our results suggest that the interdependence between perfusion and diffusion imaging may be useful in stratifying patients and evaluating tumor invasiveness, providing overall measure of tumor microenvironment using multiparametric MRI.
CitationLi C, Wang S, Liu P, Torheim T, Boonzaier NR, van Dijken BR, et al. Decoding the interdependence of multiparametric magnetic resonance imaging to reveal patient subgroups correlated with survivals. Neoplasia. 2019 May;21(5):442-9.
- Multiparametric MR Imaging of Diffusion and Perfusion in Contrast-enhancing and Nonenhancing Components in Patients with Glioblastoma.
- Authors: Boonzaier NR, Larkin TJ, Matys T, van der Hoorn A, Yan JL, Price SJ
- Issue date: 2017 Jul
- Low perfusion compartments in glioblastoma quantified by advanced magnetic resonance imaging and correlated with patient survival.
- Authors: Li C, Yan JL, Torheim T, McLean MA, Boonzaier NR, Zou J, Huang Y, Yuan J, van Dijken BRJ, Matys T, Markowetz F, Price SJ
- Issue date: 2019 May
- Ventricle contact is associated with lower survival and increased peritumoral perfusion in glioblastoma.
- Authors: van Dijken BRJ, Jan van Laar P, Li C, Yan JL, Boonzaier NR, Price SJ, FCRS., van der Hoorn A
- Issue date: 2018 Oct 19
- Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma.
- Authors: Burth S, Kickingereder P, Eidel O, Tichy D, Bonekamp D, Weberling L, Wick A, Löw S, Hertenstein A, Nowosielski M, Schlemmer HP, Wick W, Bendszus M, Radbruch A
- Issue date: 2016 Dec
- Enhancing tumor apparent diffusion coefficient histogram skewness stratifies the postoperative survival in recurrent glioblastoma multiforme patients undergoing salvage surgery.
- Authors: Zolal A, Juratli TA, Linn J, Podlesek D, Sitoci Ficici KH, Kitzler HH, Schackert G, Sobottka SB, Rieger B, Krex D
- Issue date: 2016 May