In-vivo imaging of methionine metabolism in patients with suspected malignant pleural mesothelioma.
Journal
Nuclear medicine communications
ISSN: 1473-5628
Titre abrégé: Nucl Med Commun
Pays: England
ID NLM: 8201017
Informations de publication
Date de publication:
Nov 2019
Nov 2019
Historique:
pubmed:
1
10
2019
medline:
15
2
2020
entrez:
1
10
2019
Statut:
ppublish
Résumé
In-vivo characterization of malignant pleural mesothelioma (MPM) with C-methionine PET/computed tomography (MET PET). 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. 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). 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.
Identifiants
pubmed: 31568271
doi: 10.1097/MNM.0000000000001078
doi:
Substances chimiques
Carbon Radioisotopes
0
Carbon-11
0
Fluorodeoxyglucose F18
0Z5B2CJX4D
Methionine
AE28F7PNPL
Banques de données
ClinicalTrials.gov
['NCT02519049']
Types de publication
Clinical Trial
Journal Article
Langues
eng
Sous-ensembles de citation
IM