Trial reportJournal of neuro-oncology2011
Characterization of intracranial space-occupying lesions by ⁹⁹(m)Tc-Tetrofosmin SPECT.
Trial report in Journal of neuro-oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Development of AGT-7: An InnovativePharmaceuticals (Basel, Switzerland) · 2025Article
- Magnetic Resonance Spectroscopy and Single-Photon Emission Computed Tomography in the Evaluation of Cerebral Tumors: A Case Report.Journal of clinical medicine research · 2017Article
- The role of 99mTc-tetrofosmin brain SPECT in differentiating treatment-induced necrosis from recurrent brain tumor.Journal of neuro-oncology · 2011Article
- 99mTc-tetrofosmin SPECT for the evaluation of cerebral lesions.European journal of nuclear medicine and molecular imaging · 2010Article
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Differentiating neoplastic from non-neoplastic intracranial lesions is of paramount importance for patient management. Benign lesions can have many of the features of malignant brain tumors on both computed tomography (CT) and conventional magnetic resonance imaging (MRI). Herewith, we set out to investigate the role of (99m)Tc-Tetrofosmin (⁹⁹(m)Tc-TF) brain SPECT in the differentiation of neoplastic from non-neoplastic intracranial lesions. We prospectively studied, between September 2004 and September 2009, patients with intracranial lesions suspected of being tumors on CT/MRI that were operated on. All patients with suspected tumor on CT/MRI underwent ⁹⁹(m)Tc-TF brain SPECT within a week before surgery and CT/MRI studies. Radiotracer accumulation in intracranial lesions was assessed visually and then a semiquantitative method of image analysis was applied, by calculating the lesion-to-normal (L/N) uptake ratio. We compared the L/N ratios between low-grade gliomas and high-grade gliomas, low and high-grade gliomas and intra-axial non-neoplastic lesions, low and high-grade gliomas and metastases, and typical versus anaplastic meningiomas Ninety patients suffered from neoplastic lesions and 16 harboured non-neoplastic pathologies. There was a significant difference between low-grade gliomas and high-grade gliomas (P = 0.0019). ROC analysis provided 2.8 as the optimum cutoff value thresholding discrimination between these two groups, with 91.3% sensitivity and 83.3% specificity. When comparing gliomas (low and high-grade) with intra axial non-neoplastic lesions the difference was statistically significant (P < 0.0001). There was no statistically significant difference between gliomas (low and high-grade) and metastases. Regarding meningiomas, there was a statistically significant difference between typical and anaplastic meningiomas (P = 0.0002). ROC analysis provided 9.6 as the optimum cutoff value thresholding discrimination between these two groups, with 96% sensitivity and 100% specificity. (99m)Tc-TF brain SPECT may differentiate neoplastic from non-neoplastic intracranial pathologies and could prove useful for pre-surgical evaluation of intracranial lesions.
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