Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma.
Objective: To develop and validate a volume-based, quantitative imaging marker by integrating multi-parametric MR images for predicting glioblastoma survival, and to investigate its relationship and synergy with molecular characteristics.Methods: We retrospectively analysed 108 patients with primary...
| Publicado en: | European Radiology Vol. 27; no. 9; pp. 3583 - 3593 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Sep2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124485423&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124485423 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Sep2017 vid: 27 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124485423 124485423 143907599 NLM28168370 124485423 10.1007/s00330-017-4751-x NLM28168370 124485423 ppf: 3583 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma. aug: au: Cui, Yi Ren, Shangjie Tha, Khin Wu, Jia Shirato, Hiroki Li, Ruijiang Tha, Khin Khin affil: School of Electrical Engineering and Automation , Tianjin University , Tianjin Shi China sug: subj: Glioma Brain Neoplasms Glioma Pathology Brain Neoplasms Pathology DNA Methylation Image Interpretation, Computer Assisted Methods Aged Human Reproducibility of Results Male Cox Proportional Hazards Model Magnetic Resonance Imaging Methods Enzymes DNA Middle Age Kaplan-Meier Estimator Retrospective Design Adult Proteins Female Prognosis Validation Studies Comparative Studies Evaluation Research Multicenter Studies Aged: 65+ years Middle Aged: 45-64 years Adult: 19-44 years Male Female ab: Objective: To develop and validate a volume-based, quantitative imaging marker by integrating multi-parametric MR images for predicting glioblastoma survival, and to investigate its relationship and synergy with molecular characteristics.Methods: We retrospectively analysed 108 patients with primary glioblastoma. The discovery cohort consisted of 62 patients from the cancer genome atlas (TCGA). Another 46 patients comprising 30 from TCGA and 16 internally were used for independent validation. Based on integrated analyses of T1-weighted contrast-enhanced (T1-c) and diffusion-weighted MR images, we identified an intratumoral subregion with both high T1-c and low ADC, and accordingly defined a high-risk volume (HRV). We evaluated its prognostic value and biological significance with genomic data.Results: On both discovery and validation cohorts, HRV predicted overall survival (OS) (concordance index: 0.642 and 0.653, P < 0.001 and P = 0.038, respectively). HRV stratified patients within the proneural molecular subtype (log-rank P = 0.040, hazard ratio = 2.787). We observed different OS among patients depending on their MGMT methylation status and HRV (log-rank P = 0.011). Patients with unmethylated MGMT and high HRV had significantly shorter survival (median survival: 9.3 vs. 18.4 months, log-rank P = 0.002).Conclusion: Volume of the high-risk intratumoral subregion identified on multi-parametric MRI predicts glioblastoma survival, and may provide complementary value to genomic information.Key Points: • High-risk volume (HRV) defined on multi-parametric MRI predicted GBM survival. • The proneural molecular subtype tended to harbour smaller HRV than other subtypes. • Patients with unmethylated MGMT and high HRV had significantly shorter survival. • HRV complements genomic information in predicting GBM survival. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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