1. In-vivo imaging of methionine metabolism in patients with suspected malignant pleural mesothelioma.
- Author
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Lopci E, Novellis P, Testori A, Rahal D, Voulaz E, Bottoni E, Ferraroli GM, Crepaldi A, Ceresoli GL, Perrino M, Castello A, Alloisio M, Veronesi G, and Zucali PA
- Subjects
- Adult, Aged, Aged, 80 and over, Carbon Radioisotopes, Female, Fluorodeoxyglucose F18, Humans, Male, Mesothelioma, Malignant, Middle Aged, Lung Neoplasms diagnostic imaging, Mesothelioma diagnostic imaging, Methionine metabolism, Positron Emission Tomography Computed Tomography
- Abstract
Objectives: In-vivo characterization of malignant pleural mesothelioma (MPM) with C-methionine PET/computed tomography (MET PET)., Methods: Between September 2014 and February 2016, 30 consecutive patients with clinical suspicion of MPM were prospectively recruited. The study was approved and registered at www.clinicaltrials.gov (NCT02519049). Patients were evaluated at baseline with MET PET (experimental) and fluorine-18 fluorodeoxyglucose PET/computed tomography (FDG PET) (standard). Principal parameters analyzed were SUVmax, SUVmean, metabolic tumor volume (MTV), and metabolic tumor burden (MTB = MTV ×SUVmean). The reference standard for diagnostic performance was based on histology., Results: The presence of malignancy was confirmed in 29/30 patients: 23 (76.6%) with MPM (20 epithelioid, two biphasic, and one sarcomatoid), five (16.6%) with adenocarcinoma of the lung, and one (3.3%) with an undifferentiated carcinoma. In one case, diagnosis was benign pleural inflammation. All tumors showed increased uptake of C-methionine: median SUVmax, SUVmean, MTV, and MTB were, respectively, 5.70 [95% confidence interval (CI): 4.51-6.79], 3.15 (95% CI: 2.71-3.40), 33.85 (95% CI: 14.08-66.64), and 105.25 (95% CI: 41.77-215.25). Pathology data revealed MTV and MTB to be significantly higher in nonepithelioid histology (P < 0.05). The other parameters showed a homogeneous distribution across the tumor types. Overall, MET PET identified 49 lymph nodes, compared with 34 nodes on FDG PET, demonstrating a sensitivity of 91% (95% CI: 80-96%), a positive predictive value of 92% (95% CI: 82- 97%), and an accuracy of 85% (P = 0.0042)., Conclusions: MET PET is able to characterize MPM lesions regardless of histology. This technique shows higher sensitivity than FDG PET for the identification of secondary lymph nodes.
- Published
- 2019
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