Retrospective evaluation of the correlation between somatostatin receptor PET/CT and histopathology in patients with suspected intracranial meningiomas
The aim of this retrospective study was to evaluate the correlation between findings from somatostatin receptor (SSTR) PET/CT and histopathology in patients with suspected intracranial meningiomas. Methods: We conducted a retrospective analysis of 8,077 SSTR imaging studies recorded in our instituti...
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| Hauptverfasser: | , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
October 1, 2025
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| In: |
Journal of nuclear medicine
Year: 2025, Jahrgang: 66, Heft: 10, Pages: 1561-1567 |
| ISSN: | 2159-662X |
| DOI: | 10.2967/jnumed.125.270115 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.2967/jnumed.125.270115 Verlag, lizenzpflichtig, Volltext: https://jnm-snmjournals-org.ezproxy.medma.uni-heidelberg.de/content/66/10/1561 |
| Verfasserangaben: | Ricarda Ebner, Jana Braach, Johannes Rübenthaler, Clemens C. Cyran, Gabriel T. Sheikh, Mattias Brendel, Nathalie L. Albert, Reinhold Tiling, Tobias Greve, Anna Hinterberger, Matthias P. Fabritius, Nicola Fink, Jens Ricke, Rudolf A. Werner, and Freba Grawe |
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| 100 | 1 | |a Ebner, Ricarda Katharina Viktoria |e VerfasserIn |0 (DE-588)1350612618 |0 (DE-627)1911753444 |4 aut | |
| 245 | 1 | 0 | |a Retrospective evaluation of the correlation between somatostatin receptor PET/CT and histopathology in patients with suspected intracranial meningiomas |c Ricarda Ebner, Jana Braach, Johannes Rübenthaler, Clemens C. Cyran, Gabriel T. Sheikh, Mattias Brendel, Nathalie L. Albert, Reinhold Tiling, Tobias Greve, Anna Hinterberger, Matthias P. Fabritius, Nicola Fink, Jens Ricke, Rudolf A. Werner, and Freba Grawe |
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| 520 | |a The aim of this retrospective study was to evaluate the correlation between findings from somatostatin receptor (SSTR) PET/CT and histopathology in patients with suspected intracranial meningiomas. Methods: We conducted a retrospective analysis of 8,077 SSTR imaging studies recorded in our institutional database between 2006 and 2021. In total, 223 SSTR PET/CT scans were performed for suspected meningioma, and 240 lesions were matched with histopathology results within 4 mo. Reports from SSTR PET/CT scans and histopathology were retrospectively reviewed to assess the presence of intracranial meningiomas. The positive and negative predictive values, sensitivity, specificity, and overall diagnostic accuracy of SSTR PET/CT were calculated. The SUVmax, SUVmean, and SUVpeak were determined for each lesion. Results: In 222 (92.5%) of 240 lesions, meningioma was accurately identified by SSTR PET/CT and confirmed by histopathology. In 7 cases (2.9%), SSTR PET/CT suspected meningioma was not confirmed by histopathology (false-positive). Furthermore, in 11 cases (5%), meningioma was neither suspected by SSTR PET/CT nor confirmed by histopathology (true-negative result). There were no false-negative findings in our cohort. SSTR PET/CT demonstrated a sensitivity of 100% (95% CI, 98.4%-100%) and a specificity of 61.1% (95% CI, 35.8%-82.7%) in detecting meningiomas. Positive predictive value was 96.9% (95% CI, 93.8%-98.8%), and negative predictive value was 100% (95% CI, 71.5%-100%). The overall diagnostic accuracy was 97.1%. The receiver-operating-characteristic analysis for SUVmax in predicting histopathology results showed an area under the curve of 94%, indicating an excellent ability of SUVmax to distinguish between positive and negative histopathologic findings. Conclusion: SSTR PET/CT is a precise imaging modality for detecting intracranial meningiomas, as demonstrated by its high sensitivity. However, in 2.9% of cases, despite a positive PET/CT result, histopathology did not confirm the presence of a meningioma. Integration of MRI, histopathology, and SSTR PET/CT supports informed treatment decisions. | ||
| 650 | 4 | |a histopathology | |
| 650 | 4 | |a magnetic resonance imaging | |
| 650 | 4 | |a meningioma | |
| 650 | 4 | |a PET | |
| 650 | 4 | |a somatostatin receptor | |
| 700 | 1 | |a Braach, Jana |e VerfasserIn |4 aut | |
| 700 | 1 | |a Rübenthaler, Johannes |e VerfasserIn |4 aut | |
| 700 | 1 | |a Cyran, Clemens C. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Sheikh, Gabriel T. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Brendel, Mattias |e VerfasserIn |4 aut | |
| 700 | 1 | |a Albert, Nathalie L. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Tiling, Reinhold |e VerfasserIn |4 aut | |
| 700 | 1 | |a Greve, Tobias |e VerfasserIn |4 aut | |
| 700 | 1 | |a Hinterberger, Anna |e VerfasserIn |0 (DE-588)1051465079 |0 (DE-627)786314478 |0 (DE-576)406536414 |4 aut | |
| 700 | 1 | |a Fabritius, Matthias P. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Fink, Nicola |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ricke, Jens |e VerfasserIn |4 aut | |
| 700 | 1 | |a Werner, Rudolf A. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Grawe, Freba |d 1989- |e VerfasserIn |0 (DE-588)1231264179 |0 (DE-627)1753673429 |4 aut | |
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