Quantitative volumetric metabolic measurement of solitary pulmonary nodules by F-18 fluorodeoxyglucose positron emission tomography-computed tomography.

F-18 fluorodeoxyglucose positron emission tomography-computed tomography metabolic index solitary pulmonary nodule standardized uptake value

Journal

Turk gogus kalp damar cerrahisi dergisi
ISSN: 1301-5680
Titre abrégé: Turk Gogus Kalp Damar Cerrahisi Derg
Pays: Turkey
ID NLM: 100887967

Informations de publication

Date de publication:
Oct 2019
Historique:
received: 20 11 2018
accepted: 13 06 2019
entrez: 22 2 2020
pubmed: 23 2 2020
medline: 23 2 2020
Statut: epublish

Résumé

This study aims to evaluate the effect of quantitative volumetric metabolic measurements in F-18 fluorodeoxyglucose positron emission tomographycomputed tomography to distinguish benign and malignant solitary pulmonary nodules. We retrospectively reviewed 78 patients (56 males; 22 females; mean age 61±11.9 years; range, 32 to 82 years) with solitary pulmonary nodules who underwent F-18 fluorodeoxyglucose positron emission tomography-computed tomography. Patients were classified as benign, malignant and metastatic lesions according to pathology results. Metabolic volume, maximum standardized uptake value, mean standardized uptake value, maximum metabolic index and mean metabolic index were measured. Mean, median and standard error values were calculated for each group. Nonparametric tests were used for the comparison of each group. Partial correlation analysis was used for the relationship between parameters. For all parameters, cut-off values were obtained with receiver operating characteristic analysis. Of 78 lesions, 10 were benign (12.8%), 38 were primary lung carcinoma (48.7%) and 30 were metastatic lung nodules (38.5%). There was a significant difference between benign lesions and primary lung cancer and between primary lung cancer and metastatic groups in all parameters (p<0.05). We determined highly significant positive correlation between maximum standardized uptake value and maximum metabolic index (r=0.73; p<0.05), and moderate positive correlation between mean standardized uptake value and mean metabolic index (r=0.56; p<0.05). In receiver operating characteristic analysis, maximum standardized uptake value and mean standardized uptake value were found to be the most sensitive and specific methods for benign/malignant discrimination. In the cut-off value=2.59, the sensitivity and specificity for maximum standardized uptake value were 98.0% and 91.7%, respectively. In the cut-off value=1.65, the sensitivity and specificity for mean standardized uptake value were 94.0% and 91.7%, respectively. Maximum metabolic index value is highly correlated with maximum standardized uptake value in benign/malignant solitary pulmonary nodules discrimination by F-18 fluorodeoxyglucose positron emission tomographycomputed tomography. Maximum metabolic index can also be used for discrimination of primary/metastatic malignant lesions.

Sections du résumé

BACKGROUND BACKGROUND
This study aims to evaluate the effect of quantitative volumetric metabolic measurements in F-18 fluorodeoxyglucose positron emission tomographycomputed tomography to distinguish benign and malignant solitary pulmonary nodules.
METHODS METHODS
We retrospectively reviewed 78 patients (56 males; 22 females; mean age 61±11.9 years; range, 32 to 82 years) with solitary pulmonary nodules who underwent F-18 fluorodeoxyglucose positron emission tomography-computed tomography. Patients were classified as benign, malignant and metastatic lesions according to pathology results. Metabolic volume, maximum standardized uptake value, mean standardized uptake value, maximum metabolic index and mean metabolic index were measured. Mean, median and standard error values were calculated for each group. Nonparametric tests were used for the comparison of each group. Partial correlation analysis was used for the relationship between parameters. For all parameters, cut-off values were obtained with receiver operating characteristic analysis.
RESULTS RESULTS
Of 78 lesions, 10 were benign (12.8%), 38 were primary lung carcinoma (48.7%) and 30 were metastatic lung nodules (38.5%). There was a significant difference between benign lesions and primary lung cancer and between primary lung cancer and metastatic groups in all parameters (p<0.05). We determined highly significant positive correlation between maximum standardized uptake value and maximum metabolic index (r=0.73; p<0.05), and moderate positive correlation between mean standardized uptake value and mean metabolic index (r=0.56; p<0.05). In receiver operating characteristic analysis, maximum standardized uptake value and mean standardized uptake value were found to be the most sensitive and specific methods for benign/malignant discrimination. In the cut-off value=2.59, the sensitivity and specificity for maximum standardized uptake value were 98.0% and 91.7%, respectively. In the cut-off value=1.65, the sensitivity and specificity for mean standardized uptake value were 94.0% and 91.7%, respectively.
CONCLUSION CONCLUSIONS
Maximum metabolic index value is highly correlated with maximum standardized uptake value in benign/malignant solitary pulmonary nodules discrimination by F-18 fluorodeoxyglucose positron emission tomographycomputed tomography. Maximum metabolic index can also be used for discrimination of primary/metastatic malignant lesions.

Identifiants

pubmed: 32082925
doi: 10.5606/tgkdc.dergisi.2019.17582
pmc: PMC7018152
doi:

Types de publication

Journal Article

Langues

eng

Pagination

557-564

Informations de copyright

Copyright © 2019, Turkish Society of Cardiovascular Surgery.

Déclaration de conflit d'intérêts

Conflict of Interest: The authors declared no conflicts of interest with respect to the authorship and/or publication of this article.

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Auteurs

Tarık Şengöz (T)

Department of Nuclear Medicine, Pamukkale University Medical Faculty, Denizli, Turkey.

Dogangün Yüksel (D)

Department of Nuclear Medicine, Pamukkale University Medical Faculty, Denizli, Turkey.

Olga Yaylalı (O)

Department of Nuclear Medicine, Pamukkale University Medical Faculty, Denizli, Turkey.

Haydar Arslan (H)

Department of Nuclear Medicine, Trabzon Training and Research Hospital, Trabzon, Turkey.

Ferda Bir (F)

Department of Pathologhy, Pamukkale University Medical Faculty, Denizli, Turkey.

Classifications MeSH