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Correlation of the apparent diffusion coefficient with the standardized uptake value in meningioma of the skull plane using [68]Ga-DOTATOC PET/MRI.
- Source :
-
Nuclear medicine communications [Nucl Med Commun] 2023 Dec 01; Vol. 44 (12), pp. 1106-1113. Date of Electronic Publication: 2023 Oct 12. - Publication Year :
- 2023
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Abstract
- Purpose: To evaluate a correlation between an MRI-specific marker for cellular density [apparent diffusion coefficient (ADC)] and the expression of Somatostatin Receptors (SSTR) in patients with meningioma of the skull plane and orbital space.<br />Methods: 68 Ga-DOTATOC PET/MR imaging was performed in 60 Patients with suspected or diagnosed meningiomas of the skull base and eye socket. Analysis of ADC values succeeded in 32 patients. ADC values (ADC mean and ADC min ) were analyzed using a polygonal region of interest. Tracer-uptake of target lesions was assessed according to corresponding maximal (SUV max ) and mean (SUV mean ) values. Correlations between assessed parameters were evaluated using the Pearson correlation coefficient.<br />Results: One out of 32 patients (3%) was diagnosed with lymphoma by histopathological examination and therefore excluded from further analysis. Median ADC mean amounted to 822 × 10 -5 mm²/s -1 (95% CI: 570-1497) and median ADC min was 493 × 10 -5 mm 2 /s -1 (95% CI: 162-783). There were no significant correlations between SUV max and ADC min (r = 0.60; P = 0.76) or ADC mean (r = -0.52; P = 0.79), respectively. However, Pearson's test showed a weak, inverse but insignificant correlation between ADC mean and SUV mean (r = -0.33; P = 0.07).<br />Conclusion: The presented data displays no relevant correlations between increased SSTR expression and cellularity in patients with meningioma of the skull base. SSTR-PET and DWI thus may offer complementary information on tumor characteristics of meningioma.<br /> (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1473-5628
- Volume :
- 44
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Nuclear medicine communications
- Publication Type :
- Academic Journal
- Accession number :
- 37823259
- Full Text :
- https://doi.org/10.1097/MNM.0000000000001774