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
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

Pagination

1179-1186

Auteurs

Egesta Lopci (E)

Nuclear Medicine.

Pierluigi Novellis (P)

Thoracic Surgery.

Alberto Testori (A)

Thoracic Surgery.

Emanuele Voulaz (E)

Thoracic Surgery.

Edoardo Bottoni (E)

Thoracic Surgery.

Alessandro Crepaldi (A)

Thoracic Surgery.

Giovanni Luca Ceresoli (GL)

Oncology, Humanitas Gavazzeni, Bergamo, Italy.

Matteo Perrino (M)

Oncology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.

Angelo Castello (A)

Nuclear Medicine.

Marco Alloisio (M)

Thoracic Surgery.
Humanitas University, Rozzano, Milan, Italy.

Giulia Veronesi (G)

Thoracic Surgery.

Paolo Andrea Zucali (PA)

Oncology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.

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Classifications MeSH