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Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection

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. OBJECTI...

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Autores principales: Erdogdu, Eren, Ozkan, Berker, Duman, Salih, Agkoc, Melek, Erturk, Sukru Mehmet, Kara, Murat, Toker, Alper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366584/
https://www.ncbi.nlm.nih.gov/pubmed/35474637
http://dx.doi.org/10.1111/crj.13489
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author Erdogdu, Eren
Ozkan, Berker
Duman, Salih
Agkoc, Melek
Erturk, Sukru Mehmet
Kara, Murat
Toker, Alper
author_facet Erdogdu, Eren
Ozkan, Berker
Duman, Salih
Agkoc, Melek
Erturk, Sukru Mehmet
Kara, Murat
Toker, Alper
author_sort Erdogdu, Eren
collection PubMed
description 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: We tried to clarify the possible predictors of malignancy in solitary pulmonary nodules in patients who had definitive histological diagnosis. 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: 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: Age, SUVmax, and spiculation are the independent predictors of malignancy in patients with solitary pulmonary nodules.
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spelling pubmed-93665842022-08-16 Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection Erdogdu, Eren Ozkan, Berker Duman, Salih Agkoc, Melek Erturk, Sukru Mehmet Kara, Murat Toker, Alper Clin Respir J Original Articles 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: We tried to clarify the possible predictors of malignancy in solitary pulmonary nodules in patients who had definitive histological diagnosis. 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: 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: Age, SUVmax, and spiculation are the independent predictors of malignancy in patients with solitary pulmonary nodules. John Wiley and Sons Inc. 2022-04-26 /pmc/articles/PMC9366584/ /pubmed/35474637 http://dx.doi.org/10.1111/crj.13489 Text en © 2022 The Authors. The Clinical Respiratory Journal published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Erdogdu, Eren
Ozkan, Berker
Duman, Salih
Agkoc, Melek
Erturk, Sukru Mehmet
Kara, Murat
Toker, Alper
Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection
title Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection
title_full Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection
title_fullStr Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection
title_full_unstemmed Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection
title_short Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection
title_sort predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366584/
https://www.ncbi.nlm.nih.gov/pubmed/35474637
http://dx.doi.org/10.1111/crj.13489
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