Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection.
lung carcinoma
malignancy
predictor
solitary pulmonary nodule
Journal
The clinical respiratory journal
ISSN: 1752-699X
Titre abrégé: Clin Respir J
Pays: England
ID NLM: 101315570
Informations de publication
Date de publication:
May 2022
May 2022
Historique:
revised:
24
09
2021
received:
31
01
2021
accepted:
21
03
2022
pubmed:
28
4
2022
medline:
27
5
2022
entrez:
27
4
2022
Statut:
ppublish
Résumé
The management of a solitary pulmonary nodule is a challenging issue in pulmonary disease. Although many factors have been defined as predictors for malignancy in solitary pulmonary nodules, the accurate diagnosis can only be established with the permanent histological diagnosis. We tried to clarify the possible predictors of malignancy in solitary pulmonary nodules in patients who had definitive histological diagnosis. We made a retrospective study to collect the data of patients with solitary pulmonary nodules who had histological diagnosis either before or after surgery. We made a statistical analysis of both the clinic and radiological features of these nodules with respect to malignancy both in contingency tables and with logistic regression analysis. We had a total of 223 patients with a radiological diagnosis of solitary pulmonary nodule. Age, smoking status and pack years of smoking, maximum standardized uptake value (SUVmax), and radiological features such as solid component, spiculation, pleural tag, lobulation, calcification, and higher density were significant predictors of malignancy in contingency tables. Age, smoking status and smoking (pack/year), SUVmax, and radiological features including spiculation, pleural tag, lobulation, calcification, and higher density were the significant predictors in univariate analysis. However, multivariate analysis revealed only SUVmax greater than 2.5 (p < 0.0001), spiculation (p = 0.009), and age older than 61 years (p = 0.015) as the significant predictors for malignancy. Age, SUVmax, and spiculation are the independent predictors of malignancy in patients with solitary pulmonary nodules.
Sections du résumé
BACKGROUND
BACKGROUND
The management of a solitary pulmonary nodule is a challenging issue in pulmonary disease. Although many factors have been defined as predictors for malignancy in solitary pulmonary nodules, the accurate diagnosis can only be established with the permanent histological diagnosis.
OBJECTIVE
OBJECTIVE
We tried to clarify the possible predictors of malignancy in solitary pulmonary nodules in patients who had definitive histological diagnosis.
METHODS
METHODS
We made a retrospective study to collect the data of patients with solitary pulmonary nodules who had histological diagnosis either before or after surgery. We made a statistical analysis of both the clinic and radiological features of these nodules with respect to malignancy both in contingency tables and with logistic regression analysis.
RESULTS
RESULTS
We had a total of 223 patients with a radiological diagnosis of solitary pulmonary nodule. Age, smoking status and pack years of smoking, maximum standardized uptake value (SUVmax), and radiological features such as solid component, spiculation, pleural tag, lobulation, calcification, and higher density were significant predictors of malignancy in contingency tables. Age, smoking status and smoking (pack/year), SUVmax, and radiological features including spiculation, pleural tag, lobulation, calcification, and higher density were the significant predictors in univariate analysis. However, multivariate analysis revealed only SUVmax greater than 2.5 (p < 0.0001), spiculation (p = 0.009), and age older than 61 years (p = 0.015) as the significant predictors for malignancy.
CONCLUSION
CONCLUSIONS
Age, SUVmax, and spiculation are the independent predictors of malignancy in patients with solitary pulmonary nodules.
Identifiants
pubmed: 35474637
doi: 10.1111/crj.13489
pmc: PMC9366584
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
361-368Informations de copyright
© 2022 The Authors. The Clinical Respiratory Journal published by John Wiley & Sons Ltd.
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