Observational studyCancer medicine2017
Quantitative T1-mapping detects cloudy-enhancing tumor compartments predicting outcome of patients with glioblastoma.
Observational study in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.
- Congress of neurological surgeons systematic review and evidence-based guidelines update on the role of emerging developments in the management of newly diagnosed glioblastoma.Journal of neuro-oncology · 2020Pooled it
- Impact of MRI modality selection on glioma sub-region segmentation using 3D U-Net and Attention U-Net: A comparative evaluation across ten MRI sequences.European journal of radiology open · 2026Article
- T1 mapping in Alzheimer's disease: a quantitative MRI study with amyloid-PET correlation.European radiology experimental · 2026Article
- Generalizable, sequence-invariant deep learning image reconstruction for subspace-constrained quantitative MRI.Magnetic resonance in medicine · 2025Article
- Synthetic MRI derived relaxometry parameters: a new insight into characterization of ring enhancing lesions of brain.Neuroradiology · 2025Article
- Comparison of test-retest repeatability of DESPOT and 3D-QALAS for TQuantitative imaging in medicine and surgery · 2025Article
- Brain tumor enhancement prediction from pre-contrast conventional weighted images using synthetic multiparametric mapping and generative artificial intelligence.Quantitative imaging in medicine and surgery · 2025Article
- Synthetic magnetic resonance-based relaxometry in differentiating central nervous system tuberculoma and glioblastoma.Polish journal of radiology · 2025Article
- Article
- Zero-DeepSub: Zero-shot deep subspace reconstruction for rapid multiparametric quantitative MRI using 3D-QALAS.Magnetic resonance in medicine · 2024Article
- Magnetic resonance relaxometry in quantitative imaging of brain gliomas: A literature review.The neuroradiology journal · 2024Review
- Validation of single reference variable flip angle (SR-VFA) dynamic TMagnetic resonance in medicine · 2024Article
- SSL-QALAS: Self-Supervised Learning for rapid multiparameter estimation in quantitative MRI using 3D-QALAS.Magnetic resonance in medicine · 2023Article
- Article
- An untrained deep learning method for reconstructing dynamic MR images from accelerated model-based data.Magnetic resonance in medicine · 2023Article
- Multiparametric Longitudinal Profiling of RCAS-tva-Induced PDGFB-Driven Experimental Glioma.Brain sciences · 2022Article
- A Head-to-Head Comparison ofJournal of clinical medicine · 2022Article
- Motion-corrected 3D-EPTI with efficient 4D navigator acquisition for fast and robust whole-brain quantitative imaging.Magnetic resonance in medicine · 2022Article
- Quantitative Synthetic Magnetic Resonance Imaging for Brain Metastases: A Feasibility Study.Cancers · 2022Article
- 3D Echo Planar Time-resolved Imaging (3D-EPTI) for ultrafast multi-parametric quantitative MRI.NeuroImage · 2022Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Contrast enhancement of glioblastomas (GBM) is caused by the decrease in relaxation time, T1. Here, we demonstrate that the quantitative measurement of T1 (qT1) discovers a subtle enhancement in GBM patients that is invisible in standard MRI. We assessed the volume change of this "cloudy" enhancement during radio-chemotherapy and its impact on patients' progression-free survival (PFS). We enrolled 18 GBM patients in this observational, prospective cohort study and measured 3T-MRI pre- and post contrast agent with standard T1-weighted (T1w) and with sequences to quantify T1 before radiation, and at 6-week intervals during radio-chemotherapy. We measured contrast enhancement by subtracting pre from post contrast contrast images, yielding relative signal increase ∆T1w and relative T1 shortening ∆qT1. On ∆qT1, we identified a solid and a cloudy-enhancing compartment and evaluated the impact of their therapy-related volume change upon PFS. In ∆qT1 maps cloudy-enhancing compartments were found in all but two patients at baseline and in all patients during therapy. The qT1 decrease in the cloudy-enhancing compartment post contrast was 21.64% versus 1.96% in the contralateral control tissue (P < 0.001). It was located at the margin of solid enhancement which was also seen on T1w. In contrast, the cloudy-enhancing compartment was visually undetectable on ∆T1w. A volume decrease of more than 21.4% of the cloudy-enhancing compartment at first follow-up predicted longer PFS (P = 0.038). Cloudy-enhancing compartment outside the solid contrast-enhancing area of GBM is a new observation which is only visually detectable with qT1-mapping and may represent tumor infiltration. Its early volume decrease predicts a longer PFS in GBM patients during standard radio-chemotherapy.
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