Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma.
Objectives: To assess the utility of amide proton transfer (APT) imaging as an imaging biomarker to predict prognosis and molecular marker status in high-grade glioma (HGG, WHO grade III/IV).Methods: We included 71 patients with pathologically diagnosed HGG who underwent preoperative MRI with APT im...
| Publicado en: | European Radiology Vol. 29; no. 12; pp. 6643 - 6653 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2019
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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=139479342&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139479342 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Dec2019 vid: 29 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 139479342 139479342 NLM31175415 10.1007/s00330-019-06203-x NLM31175415 139479342 ppf: 6643 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma. aug: au: Joo, Bio Han, Kyunghwa Ahn, Sung Soo Choi, Yoon Seong Chang, Jong Hee Kang, Seok-Gu Kim, Se Hoon Zhou, Jinyuan Lee, Seung-Koo affil: Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, South Korea sug: subj: Oxidoreductases Magnetic Resonance Imaging Methods DNA Brain Neoplasms Mutation Glioma South Korea Amides Prospective Studies Middle Age Sequence Analysis Glioma Mortality Brain Neoplasms Mortality Time Factors Female Oxidoreductases Metabolism Protons Glioma Diagnosis Brain Neoplasms Diagnosis Male Prognosis Survival Trends Scales Middle Aged: 45-64 years Female Male ab: Objectives: To assess the utility of amide proton transfer (APT) imaging as an imaging biomarker to predict prognosis and molecular marker status in high-grade glioma (HGG, WHO grade III/IV).Methods: We included 71 patients with pathologically diagnosed HGG who underwent preoperative MRI with APT imaging. Overall survival (OS) and progression-free survival (PFS) according to APT signal, clinical factors, MGMT methylation status, and IDH mutation status were analyzed. Multivariate Cox regression models with and without APT signal data were constructed. Model performance was compared using the integrated AUC (iAUC). Associations between APT signals and molecular markers were assessed using the Mann-Whitney test.Results: High APT signal was a significant predictor for poor OS (HR = 3.21, 95% CI = 1.62-6.34) and PFS (HR = 2.22, 95% CI = 1.33-3.72) on univariate analysis. On multivariate analysis, high APT signals were an independent predictor of poor OS and PFS when clinical factors alone (OS: HR = 2.89; PFS: HR = 2.13), or in combination with molecular markers (OS: HR = 2.85; PFS: HR = 2.00), were included as covariates. The incremental prognostic value of APT signals was significant for OS and PFS. IDH-wild type was significantly associated with high APT signals (p = 0.001) when compared to IDH-mutant; however, there was no difference based on MGMT methylation status (p = 0.208).Conclusion: High APT signal was a significant predictor of poor prognosis in HGG. APT data showed significant incremental prognostic value over clinical prognostic factors and molecular markers and may also predict IDH mutation status.Key Points: • Amide proton transfer (APT) imaging is a promising prognostic marker of high-grade glioma. • APT signals were significantly higher in IDH-wild type compared to IDH-mutant high-grade glioma. • APT imaging may be valuable for preoperative screening and treatment guidance. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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