Abstract | OBJECTIVE: This retrospective study aimed to analyse the correlation between somatostatin receptor subtypes (SSTR 1-5) and maximum standardized uptake value (SUVmax) in meningioma patients using Gallium-68 DOTA-D-Phe1-Tyr3-octreotide Positron Emission Tomography ([68Ga]Ga- DOTATOC PET). Secondly, we developed a radiomic model based on apparent diffusion coefficient (ADC) maps derived from diffusion weighted magnetic resonance images (DWI MRI) to reproduce SUVmax. METHOD: The study included 51 patients who underwent MRI and [68Ga]Ga- DOTATOC PET before meningioma surgery. SUVmax values were quantified from PET images and tumour areas were segmented on post-contrast T1-weighted MRI and mapped to ADC maps. A total of 1940 radiomic features were extracted from the tumour area on each ADC map. A random forest regression model was trained to predict SUVmax and the model's performance was evaluated using repeated nested cross-validation. The expression of SSTR subtypes was quantified in 18 surgical specimens and compared to SUVmax values. RESULTS: The random forest regression model successfully predicted SUVmax values with a significant correlation observed in all 100 repeats (p < 0.05). The mean Pearson's r was 0.42 ± 0.07 SD, and the root mean square error (RMSE) was 28.46 ± 0.16. SSTR subtypes 2A, 2B, and 5 showed significant correlations with SUVmax values (p < 0.001, R2 = 0.669; p = 0.001, R2 = 0.393; and p = 0.012, R2 = 0.235, respectively). CONCLUSION: SSTR subtypes 2A, 2B, and 5 correlated significantly with SUVmax in meningioma patients. The developed radiomic model based on ADC maps effectively reproduces SUVmax using [68Ga]Ga- DOTATOC PET.
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Authors | Sarah Iglseder, Anna Iglseder, Vincent Beliveau, Johanna Heugenhauser, Elke R Gizewski, Johannes Kerschbaumer, Guenther Stockhammer, Christian Uprimny, Irene Virgolini, Jozsef Dudas, Meinhard Nevinny-Stickel, Martha Nowosielski, Christoph Scherfler |
Journal | Journal of neuro-oncology
(J Neurooncol)
Vol. 164
Issue 3
Pg. 711-720
(Sep 2023)
ISSN: 1573-7373 [Electronic] United States |
PMID | 37707754
(Publication Type: Journal Article)
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Copyright | © 2023. The Author(s). |
Chemical References |
- Edotreotide
- Octreotide
- Receptors, Somatostatin
- Organometallic Compounds
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Topics |
- Humans
- Octreotide
- Meningioma
(diagnostic imaging, surgery)
- Receptors, Somatostatin
(analysis, metabolism)
- Retrospective Studies
- Positron-Emission Tomography
(methods)
- Magnetic Resonance Imaging
- Meningeal Neoplasms
(diagnostic imaging, surgery)
- Organometallic Compounds
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