PURPOSE: Malignant peripheral nerve sheath tumors (MPNSTs) are the leading cause of death for patients with neurofibromatosis type 1 (NF1). Identification of hypermetabolic lesions on PET may help identify patients at risk for MPNST. The objective of this study was to identify clinical and MRI-derived variables that predicted increased metabolic activity of neurofibromas in NF1 patients as determined by PET. METHODS: This prospective study included NF1 patients with neurofibromas of 5 cm in diameter or greater. All patients underwent whole-body MRI and F-FDG PET imaging. Tumor volume was calculated from the MR scans using a semiautomated 3-dimensional segmentation method. SUVmax's were calculated to quantify metabolic activity. Logistic regression analyses were performed to determine the relationship among SUVmax, tumor volume, location (extremity vs trunk), type (plexiform vs circumscribed), depth (superficial vs deep), patient age, and whole-body tumor burden. RESULTS: A total of 311 neurofibromas were identified in 19 NF1 patients (mean age, 38 years; range, 19-58 years). One extreme outlier was excluded from analysis. Whole-body tumor volumes ranged from 0.4 to 1182.4 mL. Fifty of 310 tumors were FDG-avid on PET (16%) with median SUVmax of 2.2 (range, 0.4-9.6). Metabolic activity (SUVmax >2.5) correlated with tumor location (deep > superficial, trunk > extremity) in tumors with PET avidity. CONCLUSIONS: In NF1 patients with neurofibromas of 5 cm or greater, the majority of internal tumors are not metabolically active on PET. Tumors with increased metabolic activity as defined by SUVmax greater than 2.5 (ie, suggestive of MPNST) are more likely to be deep and located within the trunk.
PURPOSE:Malignant peripheral nerve sheath tumors (MPNSTs) are the leading cause of death for patients with neurofibromatosis type 1 (NF1). Identification of hypermetabolic lesions on PET may help identify patients at risk for MPNST. The objective of this study was to identify clinical and MRI-derived variables that predicted increased metabolic activity of neurofibromas in NF1patients as determined by PET. METHODS: This prospective study included NF1patients with neurofibromas of 5 cm in diameter or greater. All patients underwent whole-body MRI and F-FDG PET imaging. Tumor volume was calculated from the MR scans using a semiautomated 3-dimensional segmentation method. SUVmax's were calculated to quantify metabolic activity. Logistic regression analyses were performed to determine the relationship among SUVmax, tumor volume, location (extremity vs trunk), type (plexiform vs circumscribed), depth (superficial vs deep), patient age, and whole-body tumor burden. RESULTS: A total of 311 neurofibromas were identified in 19 NF1patients (mean age, 38 years; range, 19-58 years). One extreme outlier was excluded from analysis. Whole-body tumor volumes ranged from 0.4 to 1182.4 mL. Fifty of 310 tumors were FDG-avid on PET (16%) with median SUVmax of 2.2 (range, 0.4-9.6). Metabolic activity (SUVmax >2.5) correlated with tumor location (deep > superficial, trunk > extremity) in tumors with PET avidity. CONCLUSIONS: In NF1patients with neurofibromas of 5 cm or greater, the majority of internal tumors are not metabolically active on PET. Tumors with increased metabolic activity as defined by SUVmax greater than 2.5 (ie, suggestive of MPNST) are more likely to be deep and located within the trunk.
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