Total metabolic tumor volume by 18F-FDG PET/CT for the prediction of outcome in patients with non-small cell lung cancer.


Journal

Annals of nuclear medicine
ISSN: 1864-6433
Titre abrégé: Ann Nucl Med
Pays: Japan
ID NLM: 8913398

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 24 07 2019
accepted: 29 09 2019
pubmed: 16 10 2019
medline: 9 4 2020
entrez: 16 10 2019
Statut: ppublish

Résumé

Metabolic tumor volume (MTV) and total lesion glycolysis (TLG) are imaging parameters derived from 18F-FDG PET/CT that have been proposed for risk stratification of cancer patients. The aim of our study was to test whether these whole-body volumetric imaging parameters may predict outcome in patients with non-small cell lung cancer (NSCLC). Sixty-five patients (45 men, 20 women; mean age ± SD, 65 ± 12 years), with histologically proven NSCLC who had undergone 18F-FDG PET/CT scan before any therapy, were included in the study. Imaging parameters including SUV A total of 298 lesions were analyzed including 65 primary tumors, 114 metastatic lymph nodes and 119 distant metastases. MTV Whole-body PET-based volumetric imaging parameters are able to predict outcome in NSCLC patients.

Identifiants

pubmed: 31612416
doi: 10.1007/s12149-019-01407-z
pii: 10.1007/s12149-019-01407-z
doi:

Substances chimiques

Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

937-944

Auteurs

Sara Pellegrino (S)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini 5, Edificio 10, 80131, Naples, Italy.

Rosa Fonti (R)

Institute of Biostructures and Bioimages, National Research Council, Naples, Italy.

Emanuela Mazziotti (E)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini 5, Edificio 10, 80131, Naples, Italy.

Luisa Piccin (L)

Department of Clinical Medicine and Surgery, University "Federico II", Naples, Italy.

Eleonora Mozzillo (E)

Department of Clinical Medicine and Surgery, University "Federico II", Naples, Italy.

Vincenzo Damiano (V)

Department of Clinical Medicine and Surgery, University "Federico II", Naples, Italy.

Elide Matano (E)

Department of Clinical Medicine and Surgery, University "Federico II", Naples, Italy.

Sabino De Placido (S)

Department of Clinical Medicine and Surgery, University "Federico II", Naples, Italy.

Silvana Del Vecchio (S)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini 5, Edificio 10, 80131, Naples, Italy. delvecc@unina.it.
Institute of Biostructures and Bioimages, National Research Council, Naples, Italy. delvecc@unina.it.

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Classifications MeSH