Proton MR spectroscopic imaging of human glioblastomas at 1.5 Tesla

Hnilicová, Petra; Richterová, Romana; Kantorová, Ema; Bittšanský, Michal; Baranovičová, Eva; Dobrota, Dušan

doi:10.4149/gpb_2017027

Cited by 4 publications

(2 citation statements)

References 32 publications

(88 reference statements)

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“…Also, in the group of patients with a disease progression, the ratio Cho/ Cr and Cho/Cr(h) and tumour grade (0.253 and 0.233, respectively), were without a statistical signifi cance. A similar conclusion about metabolites in glioblastoma was found in the study of Hnilicová et al (20]. In the case of the Ki-67 index, we observed a slight positive correlation with Cho/Cr(h) ratio (0.307) in the patients with progression, although the results were not statistically signifi cant.…”

Section: Discussionsupporting

confidence: 90%

Magnetic resonance spectroscopy – its added value in brain glioma multiparametric assessment

Rudnay¹,

Waczulı́ková²,

Bullova³

et al. 2021

BLL

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OBJECTIVE: In this study, we analysed the results of magnetic resonance spectroscopy (MRS) in the patients with gliomas, including the error rate, MRS parameters variability, correlations with gene mutations and overall usefulness for clinical practice. MATERIAL AND METHODS: Eighty patients with glial tumours were examined by multiparametric MRI completed with single voxel MRS, as one group, then as two separate groups according to progression of the disease after the initial surgery. The error rate between the groups, MRS parameters variability, hazard ratios and correlations between metabolites, genetic markers and tumour grade were all analysed. RESULTS: Variability in Cho/Cr(h) was signifi cantly higher in the group with a disease progression (p = 0.044). In the patients with a stable disease, strong signifi cant negative correlations between Cho/Cr and Cho/NAA with p53 mutation (-0.945 and -0.812 respectively, p < 0.05) and between Cho/Cr and IDH1, 2 mutation (-0.796, p < 0.05) were found. In the patients with tumour progression, a signifi cant positive correlation of NAA/Cr with 1p19q codeletion (0.486, p < 0.05) and of Cho/Cr and Cho/NAA values with p53 mutation (0.477 and 0.416, p < 0.05) were identifi ed. Tumour grade positively correlated with Cho/Cr values (0.304, p = 0.02) in the whole patient group. CONCLUSION: MRS brings an added value to multiparametric MRI evaluation of brain tumours in the patient follow-up after an initial surgery, especially in ambiguous fi ndings (Tab. 5, Fig. 2, Ref. 29).

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Section: Discussionsupporting

confidence: 90%

Magnetic resonance spectroscopy – its added value in brain glioma multiparametric assessment

Rudnay¹,

Waczulı́ková²,

Bullova³

et al. 2021

BLL

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“…Secondly, we only analyzed spectra in the region of the tumor with the most intensive contrast enhancement. Inclusion of the spectra in the surroundings of the lesion could point to the invasive nature of the lesions, similarly to the findings in the brain (26,27).…”

Section: Limitationsmentioning

confidence: 72%

Is Elevated Choline on Magnetic Resonance Spectroscopy a Reliable Marker of Breast Lesion Malignancy?

et al. 2021

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BackgroundContemporary magnetic resonance imaging (MRI) of the breast represents a powerful diagnostic modality for cancer detection, with excellent sensitivity and high specificity. Magnetic resonance spectroscopy (MRS) is being explored as an additional tool for improving specificity in breast cancer detection, using multiparametric MRI. The aim of this study was to examine the possibility of 1H-MRS to discriminate malignant from benign breast lesions, using elevated choline (Cho) peak as an imaging biomarker.MethodsA total of 60 patients were included in this prospective study: 30 with malignant (average age, 55.2 years; average lesion size, 35 mm) and 30 with benign breast lesions (average age, 44.8 years; average lesion size, 20 mm), who underwent multiparametric MRI with multivoxel 3D 1H-MRS on a 1.5-T scanner in a 3-year period. Three patients with benign breast lesions were excluded from the study. All lesions were histologically verified. Peaks identified on 1H-MRS were lipid (0.9, 2.3, 2.8, and 5.2 ppm), choline (3.2 ppm), and water peaks (4.7 ppm). Sensitivity and specificity, as well as positive and negative predictive values, were defined using ROC curves. Cohen’s Kappa test of inter-test reliability was performed [testing the agreement between 1H-MRS and histologic finding, and 1H-MRS and MR mammography (MRM)].ResultsCholine peak was elevated in 24/30 malignant lesions and in 20/27 benign breast lesions. The sensitivity of 1H-MRS was 0.8, specificity was 0.741, positive predictive value was 0.774, and negative predictive value was 0.769. Area under ROC was 0.77 (CI 0.640–0.871). Inter-test reliability between 1H-MRS and histologic finding was 0.543 (moderate agreement) and that between 1H-MRS and MRM was 0.573 (moderate agreement). False-negative findings were most frequently observed in invasive lobular cancers, while false-positive findings were most frequently observed in adenoid fibroadenomas.ConclusionAlthough elevation of the choline peak has a good sensitivity and specificity in breast cancer detection, both are significantly lower than those of multiparametric MRM. Inclusion of spectra located on tumor margins as well as analysis of lipid peaks could aid both sensitivity and specificity. An important ratio of false-positive and false-negative findings in specific types of breast lesions (lobular cancer and adenoid fibroadenoma) suggests interpreting these lesions with a caveat.

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Texture feature differentiation of glioblastoma and solitary brain metastases based on tumor and tumor-brain interface

Chen,

Lin,

Sun

et al. 2024

Academic Radiology

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Proton MR spectroscopic imaging of human glioblastomas at 1.5 Tesla

Cited by 4 publications

References 32 publications

Magnetic resonance spectroscopy – its added value in brain glioma multiparametric assessment

Magnetic resonance spectroscopy – its added value in brain glioma multiparametric assessment

Is Elevated Choline on Magnetic Resonance Spectroscopy a Reliable Marker of Breast Lesion Malignancy?

Texture feature differentiation of glioblastoma and solitary brain metastases based on tumor and tumor-brain interface

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