ArticleCancer imaging : the official publication of the International Cancer Imaging Society2015
Multi-modal imaging of tumor cellularity and Tryptophan metabolism in human Gliomas.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02367469 (Tryptophan Metabolism in Human Brain Tumors), which is not on this map. Cited by 11 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Tryptophan Metabolism in Human Brain Tumors
Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Congress of neurological surgeons systematic review and evidence-based guidelines for the role of imaging in newly diagnosed WHO grade II diffuse glioma in adults: update.Journal of neuro-oncology · 2025Pooled it
- Comparison of Amino Acid PET to Advanced and Emerging MRI Techniques for Neurooncology Imaging: A Systematic Review of the Recent Studies.Molecular imaging · 2021Pooled it
- Terahertz dielectric spectroscopy of human brain gliomas and intact tissuesBiomedical optics express · 2021Article
- Glioma Imaging by O-(2-18F-Fluoroethyl)-L-Tyrosine PET and Diffusion-Weighted MRI and Correlation With Molecular Phenotypes, Validated by PET/MR-Guided Biopsies.Frontiers in oncology · 2021Article
- PET imaging of medulloblastoma with anScientific reports · 2020Article
- Multimodal imaging-defined subregions in newly diagnosed glioblastoma: impact on overall survival.Neuro-oncology · 2019Article
- Imaging tryptophan uptake with positron emission tomography in glioblastoma patients treated with indoximod.Journal of neuro-oncology · 2019Article
- Feasibility of Multimodal MRI-Based Deep Learning Prediction of High Amino Acid Uptake Regions and Survival in Patients With Glioblastoma.Frontiers in neurology · 2019Article
- Tryptophan PET predicts spatial and temporal patterns of post-treatment glioblastoma progression detected by contrast-enhanced MRI.Journal of neuro-oncology · 2016Article
- Transcriptional signatures in histologic structures within glioblastoma tumors may predict personalized drug sensitivity and survival.Neuro-oncology advancesArticle
- Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
backgroundTo assess gliomas using image-based estimation of cellularity, we utilized isotropic diffusion spectrum imaging (IDSI) on clinically feasible diffusion tensor imaging (DTI) and compared it with amino acid uptake measured by α[(11)C]methyl-L-tryptophan positron emission tomography (AMT-PET).
methodsIn 10 patients with a newly-diagnosed glioma, metabolically active tumor regions were defined in both FLAIR hyperintense areas and based on increased uptake on AMT-PET. A recently developed independent component analysis with a ball and stick model was extended to perform IDSI in clinical DTI data. In tumor regions, IDSI was used to define tumor cellularity which was compared between low and high grade glioma and correlated with the glioma proliferative index.
resultsThe IDSI-derived cellularity values were elevated in both FLAIR and AMT-PET-derived regions of high-grade gliomas. ROC curve analysis found that the IDSI-derived cellularity can provide good differentiation of low-grade from high-grade gliomas (accuracy/sensitivity/specificity of 0.80/0.80/0.80). . Both apparent diffusion coefficient (ADC) and IDSI-derived cellularity showed a significant correlation with the glioma proliferative index (based on Ki-67 labeling; R = 0.95, p < 0.001), which was particularly strong when the tumor regions were confined to areas with high tryptophan uptake excluding areas with peritumoral edema.
conclusionIDSI-MRI combined with AMT-PET may provide a multi-modal imaging tool to enhance pretreatment assessment of human gliomas by evaluating tumor cellularity and differentiate low-grade form high-grade gliomas.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.