MRI and PET: Noninvasive Tools to Probe the Biology of Diffuse Intrinsic Pontine Glioma

Gerstner, Elizabeth R.

doi:10.2967/jnumed.117.192526

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…Moreover, the ability of 18 F-DOPA ( 18 F-f luorodihydroxyphenylalanine) uptake parameters from PET-CT to reflect molecular and histological features is limited, and the prediction of prognosis is inefficient (7). In contrast, MRI markers can better reflect glioma biological features and predict a patient's progression-free survival (8,9).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, previous studies have demonstrated the feasibility of using inter-imagingmodality correlations for assessing tumor prognosis. For example, the higher pixel-wise correlation between the PET signal and the apparent diffusion coefficient (ADC) value from MRIs suggests a shorter time progression (8,23). Hence, exploring inter-metabolite correlations with noninvasive MRI/MRSI contrasts may lead to an improved understanding of gliomas.…”

Section: Introductionmentioning

confidence: 99%

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Predicting cancer malignancy and proliferation in glioma patients: intra-subject inter-metabolite correlation analyses using MRI and MRSI contrast scans

Su¹,

Li²,

Chen³

et al. 2021

Quant Imaging Med Surg

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Background: The non-invasive characterization of glioma metabolites would greatly assist the management of glioma patients in the clinical setting. This study investigated the applicability of intra-subject inter-metabolite correlation analyses for differentiating glioma malignancy and proliferation.Methods: A total of 17 negative controls (NCs), 39 low-grade gliomas (LGGs) patients, and 25 highgrade gliomas (HGGs) subjects were included in this retrospective study. Amide proton transfer (APT) and magnetization transfer contrast (MTC) imaging contrasts, as well as total choline/total creatine (tCho/tCr) and total N-acetylaspartate/total creatine (tNAA/tCr) ratios quantified from magnetic resonance spectroscopic imaging (MRSI) were co-registered voxel-wise and used to produce three intra-subject inter-metabolite correlation coefficients (IMCCs), namely, R APT vs. MTC , R APT vs. tCho/tCr , and R MTC vs. tNAA/tCr . The correlation between the IMCCs and tumor grade and Ki-67 labeling index (LI) for tumor proliferation were explored. The differences in the IMCCs between the three groups were compared with one-way analysis of variance (ANOVA). Finally, regression analysis was used to build a combined model with multiple IMCCs to improve the diagnostic performance for tumor grades based on receiver operator characteristic curves.Results: Compared with the NCs, gliomas showed stronger inter-metabolic correlations. R APT vs. MTC was significantly different among the three groups (NC vs. LGGs vs. HGGs: −0.18±0.38 vs. −0.40±0.34 vs. −0.70±0.29, P<0.0001). No significant differences were detected in R MTC vs. tNAA/tCr among the three groups. R APT vs. MTC and R APT vs. tCho/tCr correlated significantly with tumor grade (R=−0.41, P=0.001 and R=0.448, P<0.001, respectively).However, only R APT vs. MTC was mildly correlated with Ki-67 (R=−0.33, P=0.02). R APT vs. MTC and R APT vs. tCho/tCr achieved areas under the curve (AUCs) of 0.754 and 0.71, respectively, for differentiating NCs from gliomas; and 0.77 and 0.78, respectively, for differentiating LGGs from HGGs. The combined multi-IMCCs model improved the correlation with the Ki-67 LI (R=0.46, P=0.0008) and the tumor-grade stratification with AUC increased to 0.85 (sensitivity: 80.0%, specificity: 79.5%).Conclusions: This study demonstrated that glioma patients showed stronger inter-metabolite correlations than control subjects, and the IMCCs were significantly correlated with glioma grade and proliferation. The multi-IMCCs combined model further improved the performance of clinical diagnosis.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predicting cancer malignancy and proliferation in glioma patients: intra-subject inter-metabolite correlation analyses using MRI and MRSI contrast scans

Su¹,

Li²,

Chen³

et al. 2021

Quant Imaging Med Surg

View full text Add to dashboard Cite

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Diffuse midline glioma of the brainstem: genetic features, complications and treatment prospects

Kryanev,

Rozanov,

Lebedev

et al. 2024

Opuholi golovy i šei

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Diffuse midline glioma of the brain is a rare but very aggressive and resistant glial tumor. This pathology is characterized by impossibility of radical surgical treatment, radioresistance, resistance to drug treatment, high morbidity in children, low quality of life of the patients, frequent complications in the form of neurologic deficit, and unfavorable prognosis. The absence of effective treatment scheme for diffuse midline glioma requires identification of other methods (oncolytic virus therapy, immunotherapy) but there is not enough data on this topic leading to the necessity of its further investigation.

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MRI and PET: Noninvasive Tools to Probe the Biology of Diffuse Intrinsic Pontine Glioma

Cited by 2 publications

References 6 publications

Predicting cancer malignancy and proliferation in glioma patients: intra-subject inter-metabolite correlation analyses using MRI and MRSI contrast scans

Predicting cancer malignancy and proliferation in glioma patients: intra-subject inter-metabolite correlation analyses using MRI and MRSI contrast scans

Diffuse midline glioma of the brainstem: genetic features, complications and treatment prospects

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