Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging.
Purpose: Advanced MRI-based biomarkers offer comprehensive and quantitative information for the evaluation and characterization of brain tumors. In this study, we report initial clinical experience in routine glioma imaging with a novel, fully 3D multiparametric quantitative transient-state imaging...
| Publicado en: | Neuroradiology Vol. 63; no. 11; pp. 1831 - 1852 |
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| Autores principales: | , , , , , , , , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Nov2021
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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=153124014&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153124014 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Nov2021 vid: 63 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 153124014 149726533 153124014 153124014 10.1007/s00234-021-02703-0 153124014 ppf: 1831 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging. aug: au: Pirkl, Carolin M. Nunez-Gonzalez, Laura Kofler, Florian Endt, Sebastian Grundl, Lioba Golbabaee, Mohammad Gómez, Pedro A. Cencini, Matteo Buonincontri, Guido Schulte, Rolf F. Smits, Marion Wiestler, Benedikt Menze, Bjoern H. Menzel, Marion I. Hernandez-Tamames, Juan A. affil: Department of Computer Science, Technical University of Munich, Munich, Germany sug: subj: Glioma Radiography Imaging, Three-Dimensional Brain Radiation Effects Diagnostic Imaging Methods Human Neoplasm Grading Image Processing, Computer Assisted Image Interpretation, Computer Assisted Quantitative Studies Biological Markers Neural Networks (Computer) White Matter Radiation Effects ab: Purpose: Advanced MRI-based biomarkers offer comprehensive and quantitative information for the evaluation and characterization of brain tumors. In this study, we report initial clinical experience in routine glioma imaging with a novel, fully 3D multiparametric quantitative transient-state imaging (QTI) method for tissue characterization based on T1 and T2 values. Methods: To demonstrate the viability of the proposed 3D QTI technique, nine glioma patients (grade II–IV), with a variety of disease states and treatment histories, were included in this study. First, we investigated the feasibility of 3D QTI (6:25 min scan time) for its use in clinical routine imaging, focusing on image reconstruction, parameter estimation, and contrast-weighted image synthesis. Second, for an initial assessment of 3D QTI-based quantitative MR biomarkers, we performed a ROI-based analysis to characterize T1 and T2 components in tumor and peritumoral tissue. Results: The 3D acquisition combined with a compressed sensing reconstruction and neural network-based parameter inference produced parametric maps with high isotropic resolution (1.125 × 1.125 × 1.125 mm3 voxel size) and whole-brain coverage (22.5 × 22.5 × 22.5 cm3 FOV), enabling the synthesis of clinically relevant T1-weighted, T2-weighted, and FLAIR contrasts without any extra scan time. Our study revealed increased T1 and T2 values in tumor and peritumoral regions compared to contralateral white matter, good agreement with healthy volunteer data, and high inter-subject consistency. Conclusion: 3D QTI demonstrated comprehensive tissue assessment of tumor substructures captured in T1 and T2 parameters. Aiming for fast acquisition of quantitative MR biomarkers, 3D QTI has potential to improve disease characterization in brain tumor patients under tight clinical time-constraints. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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