Glioma-grade diagnosis using in-phase and out-of-phase T1-weighted magnetic resonance imaging: A prospective study
| Autor: | G. Herpe, J.-P. Tasu, S. Boucebci, C. Fauche, M. De Pardieu, Pierre Ingrand, S. Velasco |
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| Přispěvatelé: | Centre hospitalier universitaire de Poitiers (CHU Poitiers), CIC - Poitiers, Université de Poitiers-Centre hospitalier universitaire de Poitiers (CHU Poitiers)-Direction Générale de l'Organisation des Soins (DGOS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de Traitement de l'Information Medicale (LaTIM), Institut National de la Santé et de la Recherche Médicale (INSERM)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-Université de Brest (UBO)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO) |
| Rok vydání: | 2020 |
| Předmět: |
Male
Magnetic Resonance Spectroscopy Adolescent [SDV]Life Sciences [q-bio] Sensitivity and Specificity 030218 nuclear medicine & medical imaging Young Adult 03 medical and health sciences 0302 clinical medicine Glioma medicine Grade II Glioma T1 weighted Humans Radiology Nuclear Medicine and imaging Prospective Studies 10. No inequality Prospective cohort study Aged Aged 80 and over Radiological and Ultrasound Technology Receiver operating characteristic medicine.diagnostic_test Brain Neoplasms business.industry Magnetic resonance imaging General Medicine Middle Aged medicine.disease Magnetic Resonance Imaging Out of phase 030220 oncology & carcinogenesis Biomarker (medicine) Female Neoplasm Grading business Nuclear medicine |
| Zdroj: | Diagnostic and Interventional Imaging Diagnostic and Interventional Imaging, Elsevier, 2020, 101, pp.451-456. ⟨10.1016/j.diii.2020.04.013⟩ |
| ISSN: | 2211-5684 |
| DOI: | 10.1016/j.diii.2020.04.013 |
| Popis: | Purpose The purpose of this prospective study was to determine whether chemical shift gradient-echo magnetic resonance imaging (MRI) could predict glioma grade. Materials and methods A total of 69 patients with 69 gliomas were prospectively included. There were 41 men and 28 women with a mean age of 50 ± (SD) years (range: 16–82 years). All patients had MRI of the brain including chemical shift gradient-echo sequence, further referred to as in- and out-of phase sequence (IP/OP). Intravoxel fat content was estimated by signal loss ratio (SLR = [IP-OP]/2IP), between in- and out-of-phase images, using a region of interest placed on the viable portion of the gliomas. Association between SLR and glioma grade was searched for using Wilcoxon and Mann–Whitney U tests and diagnostic capabilities using area under the receiver operating characteristic (AUROC) curves. Results A significant association was found between SLR value and glioma grade (P 9‰ allowed complete discrimination between grade III and grade II glioma with 100% specificity (95% CI: 85–100%), 100% sensitivity (95% CI: 78–100%) and 100% accuracy (95% CI: 90–100%) (AUROC = 1). A SLR > 20‰ allowed discriminating between grade IV and grade III glioma with 75% specificity (95% CI: 57–89%), 73% sensitivity (95% CI: 45–92%) and 72% accuracy (95% CI: 57–84%) (AUC = 0.825, 95% CI: 0.702–0.948). The AUROC for the diagnosis of high-grade glioma (grade III and IV vs. grade II) was 1. Conclusion Chemical shift gradient echo MRI provides accurate grading of gliomas. This simple method should be used as a biomarker to predict glioma grade. |
| Databáze: | OpenAIRE |
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