Relaxation Along a Fictitious Field, continuous wave T1rho, adiabatic T1rho and adiabatic T2rho imaging of human gliomas at 3T: A feasibility study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 26 09 2023
accepted: 21 12 2023
medline: 1 4 2024
pubmed: 1 4 2024
entrez: 1 4 2024
Statut: epublish

Résumé

In pre-clinical models of brain gliomas, Relaxation Along a Fictitious Field in second rotating frame (TRAFF2), continues wave T1rho (T1ρcw), adiabatic T1rho (T1ρadiab), and adiabatic T2rho (T2ρadiab) relaxation time mappings have demonstrated potential to non-invasively characterize brain gliomas. Our aim was to evaluate the feasibility and potential of 4 different spin lock methods at 3T to characterize primary brain glioma. 22 patients (26-72 years) with suspected primary glioma. T1ρcw was performed using pulse peak amplitude of 500Hz and pulse train durations of 40 and 80 ms while the corresponding values for T1ρadiab, T2ρadiab, TRAFF2 were 500/500/500Hz and 48 and 96, 64 and 112, 45 and 90 ms, respectively. The parametric maps were calculated using a monoexponential model. Molecular profiles were evaluated from tissue specimens obtained during the resection. The lesion regions-of-interest were segmented from high intensity FLAIR using automatic segmentation with manual refinement. Statistical descriptors from the voxel intensity values inside each lesion and radiomic features (Pyrad MRC package) were calculated. From extracted radiomics, mRMRe R package version 2.1.0 was used to select 3 features in each modality for statistical comparisons. Of the 22 patients, 10 were found to have IDH-mutant gliomas and of those 5 patients had 1p/19q codeletion group comparisons. Following correction for effects of age and gender, at least one statistical descriptor was able to differentiate between IDH and 1p/19q codeletion status for all the parametric maps. In the radiomic analysis, corner-edge detector features with Harris-Stephens filtered signal showed significant group differences in IDH and 1p/19q codeletion groups. Spin lock imaging at 3T of human glioma was feasible and various qualitative parameters derived from the parametric maps were found to have potential to differentiate IDH and 1p19q codeletion status. Future larger prospective clinical trials are warranted to evaluate these methods further.

Identifiants

pubmed: 38558074
doi: 10.1371/journal.pone.0296958
pii: PONE-D-23-29516
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0296958

Informations de copyright

Copyright: © 2024 Jambor et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Ivan Jambor (I)

Department of Radiology, University of Turku, Turku, Finland.
Enterprise Service Group-Radiology, Mass General Brigham, Boston, MA, United States of America.

Aida Steiner (A)

Department of Radiology, University of Turku, Turku, Finland.
Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.

Marko Pesola (M)

Department of Radiology, University of Turku, Turku, Finland.

Maria Gardberg (M)

Tyks Laboratories, Pathology, Turku University Hospital and Institute of Biomedicine, University of Turku Turku, Finland.

Janek Frantzén (J)

Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital and University of Turku, Turku, Finland.

Pekka Jokinen (P)

Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital and University of Turku, Turku, Finland.

Timo Liimatainen (T)

Department of Radiology, University of Oulu, Oulu, Finland.
Department of Biotechnology and Molecular Medicine, A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.

Heikki Minn (H)

Department of Oncology and Radiotherapy, Turku University Hospital, Turku, Finland.
Turku PET Centre, Turku University and Turku University Hospital, Turku, Finland, Finland.

Hannu Aronen (H)

Department of Radiology, University of Turku, Turku, Finland.
Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.

Harri Merisaari (H)

Department of Radiology, University of Turku, Turku, Finland.
Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.

Classifications MeSH