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Analysis and validation of probabilistic models for predicting malignancy in solitary pulmonary nodules in a population in Brazil
To analyze clinical and radiographic findings that influence the pathological diagnosis of solitary pulmonary nodule (SPN) and to compare/validate two probabilistic models for predicting SPN malignancy in patients with SPN in Brazil. This was a retrospective study involving 110 patients diagnosed wi...
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Published in: | Jornal brasileiro de pneumologia 2012-09, Vol.38 (5), p.559-565 |
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creator | Melo, Cromwell Barbosa de Carvalho Perfeito, João Aléssio Juliano Daud, Danilo Félix Costa Júnior, Altair da Silva Santoro, Ilka Lopes Leão, Luiz Eduardo Villaça |
description | To analyze clinical and radiographic findings that influence the pathological diagnosis of solitary pulmonary nodule (SPN) and to compare/validate two probabilistic models for predicting SPN malignancy in patients with SPN in Brazil.
This was a retrospective study involving 110 patients diagnosed with SPN and submitted to resection of SPN at a tertiary hospital between 2000 and 2009. The clinical characteristics studied were gender, age, presence of systemic comorbidities, history of malignancy prior to the diagnosis of SPN, histopathological diagnosis of SPN, smoking status, smoking history, and time since smoking cessation. The radiological characteristics studied, in relation to the SPN, were presence of spiculated margins, maximum transverse diameter, and anatomical location. Two mathematical models, created in 1997 and 2007, respectively, were used in order to determine the probability of SPN malignancy.
We found that SPN malignancy was significantly associated with age (p = 0.006; OR = 5.70 for age > 70 years), spiculated margins (p = 0.001), and maximum diameter of SPN (p = 0.001; OR = 2.62 for diameters > 20 mm). The probabilistic model created in 1997 proved to be superior to that created in 2007-area under the ROC curve (AUC), 0.79 ± 0.44 (95% CI: 0.70-0.88) vs. 0.69 ± 0.50 (95% CI: 0.59-0.79).
Advanced age, greater maximum SPN diameter, and spiculated margins were significantly associated with the diagnosis of SPN malignancy. Our analysis shows that, although both mathematical models were effective in determining SPN malignancy in our population, the 1997 model was superior. |
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This was a retrospective study involving 110 patients diagnosed with SPN and submitted to resection of SPN at a tertiary hospital between 2000 and 2009. The clinical characteristics studied were gender, age, presence of systemic comorbidities, history of malignancy prior to the diagnosis of SPN, histopathological diagnosis of SPN, smoking status, smoking history, and time since smoking cessation. The radiological characteristics studied, in relation to the SPN, were presence of spiculated margins, maximum transverse diameter, and anatomical location. Two mathematical models, created in 1997 and 2007, respectively, were used in order to determine the probability of SPN malignancy.
We found that SPN malignancy was significantly associated with age (p = 0.006; OR = 5.70 for age > 70 years), spiculated margins (p = 0.001), and maximum diameter of SPN (p = 0.001; OR = 2.62 for diameters > 20 mm). The probabilistic model created in 1997 proved to be superior to that created in 2007-area under the ROC curve (AUC), 0.79 ± 0.44 (95% CI: 0.70-0.88) vs. 0.69 ± 0.50 (95% CI: 0.59-0.79).
Advanced age, greater maximum SPN diameter, and spiculated margins were significantly associated with the diagnosis of SPN malignancy. Our analysis shows that, although both mathematical models were effective in determining SPN malignancy in our population, the 1997 model was superior.</description><identifier>EISSN: 1806-3756</identifier><identifier>PMID: 23147047</identifier><language>eng ; por</language><publisher>Brazil</publisher><subject>Adult ; Age Factors ; Aged ; Brazil ; Female ; Humans ; Lung Neoplasms - diagnosis ; Lung Neoplasms - pathology ; Male ; Middle Aged ; Models, Statistical ; Predictive Value of Tests ; Retrospective Studies ; Sensitivity and Specificity ; Solitary Pulmonary Nodule - diagnosis ; Solitary Pulmonary Nodule - pathology ; Young Adult</subject><ispartof>Jornal brasileiro de pneumologia, 2012-09, Vol.38 (5), p.559-565</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23147047$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Melo, Cromwell Barbosa de Carvalho</creatorcontrib><creatorcontrib>Perfeito, João Aléssio Juliano</creatorcontrib><creatorcontrib>Daud, Danilo Félix</creatorcontrib><creatorcontrib>Costa Júnior, Altair da Silva</creatorcontrib><creatorcontrib>Santoro, Ilka Lopes</creatorcontrib><creatorcontrib>Leão, Luiz Eduardo Villaça</creatorcontrib><title>Analysis and validation of probabilistic models for predicting malignancy in solitary pulmonary nodules in a population in Brazil</title><title>Jornal brasileiro de pneumologia</title><addtitle>J Bras Pneumol</addtitle><description>To analyze clinical and radiographic findings that influence the pathological diagnosis of solitary pulmonary nodule (SPN) and to compare/validate two probabilistic models for predicting SPN malignancy in patients with SPN in Brazil.
This was a retrospective study involving 110 patients diagnosed with SPN and submitted to resection of SPN at a tertiary hospital between 2000 and 2009. The clinical characteristics studied were gender, age, presence of systemic comorbidities, history of malignancy prior to the diagnosis of SPN, histopathological diagnosis of SPN, smoking status, smoking history, and time since smoking cessation. The radiological characteristics studied, in relation to the SPN, were presence of spiculated margins, maximum transverse diameter, and anatomical location. Two mathematical models, created in 1997 and 2007, respectively, were used in order to determine the probability of SPN malignancy.
We found that SPN malignancy was significantly associated with age (p = 0.006; OR = 5.70 for age > 70 years), spiculated margins (p = 0.001), and maximum diameter of SPN (p = 0.001; OR = 2.62 for diameters > 20 mm). The probabilistic model created in 1997 proved to be superior to that created in 2007-area under the ROC curve (AUC), 0.79 ± 0.44 (95% CI: 0.70-0.88) vs. 0.69 ± 0.50 (95% CI: 0.59-0.79).
Advanced age, greater maximum SPN diameter, and spiculated margins were significantly associated with the diagnosis of SPN malignancy. Our analysis shows that, although both mathematical models were effective in determining SPN malignancy in our population, the 1997 model was superior.</description><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Brazil</subject><subject>Female</subject><subject>Humans</subject><subject>Lung Neoplasms - diagnosis</subject><subject>Lung Neoplasms - pathology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Models, Statistical</subject><subject>Predictive Value of Tests</subject><subject>Retrospective Studies</subject><subject>Sensitivity and Specificity</subject><subject>Solitary Pulmonary Nodule - diagnosis</subject><subject>Solitary Pulmonary Nodule - pathology</subject><subject>Young Adult</subject><issn>1806-3756</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNo1kE9LxDAQxYMg7rr6FSRHL4WkadLmuC7-gwUvei6TNFkiaVKbVqg3v7lZdj3NG95vHry5QGvaEFGwmosVuk7pkxAupCBXaFUyWtWkqtfodxvAL8klDKHD3-BdB5OLAUeLhzEqUM67NDmN-9gZn7CNYzZM5_TkwgH3-eIQIOgFu4BT9G6CccHD7PsYjirEbvYmHV3AQ8zGKT_vDyP8OH-DLi34ZG7Pc4M-nh7fdy_F_u35dbfdFwOt6FRIzRsDRNXCMGEEawgoqzSUErjiOiupwTJJOXALprTAJTWMaFazSsiGbdD9KTfX-ppNmtreJW28h2DinFpa1qzMaCkyendGZ9Wbrh1G1-cu7f_b2B-bv2wK</recordid><startdate>201209</startdate><enddate>201209</enddate><creator>Melo, Cromwell Barbosa de Carvalho</creator><creator>Perfeito, João Aléssio Juliano</creator><creator>Daud, Danilo Félix</creator><creator>Costa Júnior, Altair da Silva</creator><creator>Santoro, Ilka Lopes</creator><creator>Leão, Luiz Eduardo Villaça</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>201209</creationdate><title>Analysis and validation of probabilistic models for predicting malignancy in solitary pulmonary nodules in a population in Brazil</title><author>Melo, Cromwell Barbosa de Carvalho ; Perfeito, João Aléssio Juliano ; Daud, Danilo Félix ; Costa Júnior, Altair da Silva ; Santoro, Ilka Lopes ; Leão, Luiz Eduardo Villaça</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p141t-9c58ea0b76e36e6380abfbca29a5b5cbca9caf3915a5fae2fa591e30c37346983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; por</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Brazil</topic><topic>Female</topic><topic>Humans</topic><topic>Lung Neoplasms - diagnosis</topic><topic>Lung Neoplasms - pathology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Models, Statistical</topic><topic>Predictive Value of Tests</topic><topic>Retrospective Studies</topic><topic>Sensitivity and Specificity</topic><topic>Solitary Pulmonary Nodule - diagnosis</topic><topic>Solitary Pulmonary Nodule - pathology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Melo, Cromwell Barbosa de Carvalho</creatorcontrib><creatorcontrib>Perfeito, João Aléssio Juliano</creatorcontrib><creatorcontrib>Daud, Danilo Félix</creatorcontrib><creatorcontrib>Costa Júnior, Altair da Silva</creatorcontrib><creatorcontrib>Santoro, Ilka Lopes</creatorcontrib><creatorcontrib>Leão, Luiz Eduardo Villaça</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Jornal brasileiro de pneumologia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Melo, Cromwell Barbosa de Carvalho</au><au>Perfeito, João Aléssio Juliano</au><au>Daud, Danilo Félix</au><au>Costa Júnior, Altair da Silva</au><au>Santoro, Ilka Lopes</au><au>Leão, Luiz Eduardo Villaça</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis and validation of probabilistic models for predicting malignancy in solitary pulmonary nodules in a population in Brazil</atitle><jtitle>Jornal brasileiro de pneumologia</jtitle><addtitle>J Bras Pneumol</addtitle><date>2012-09</date><risdate>2012</risdate><volume>38</volume><issue>5</issue><spage>559</spage><epage>565</epage><pages>559-565</pages><eissn>1806-3756</eissn><abstract>To analyze clinical and radiographic findings that influence the pathological diagnosis of solitary pulmonary nodule (SPN) and to compare/validate two probabilistic models for predicting SPN malignancy in patients with SPN in Brazil.
This was a retrospective study involving 110 patients diagnosed with SPN and submitted to resection of SPN at a tertiary hospital between 2000 and 2009. The clinical characteristics studied were gender, age, presence of systemic comorbidities, history of malignancy prior to the diagnosis of SPN, histopathological diagnosis of SPN, smoking status, smoking history, and time since smoking cessation. The radiological characteristics studied, in relation to the SPN, were presence of spiculated margins, maximum transverse diameter, and anatomical location. Two mathematical models, created in 1997 and 2007, respectively, were used in order to determine the probability of SPN malignancy.
We found that SPN malignancy was significantly associated with age (p = 0.006; OR = 5.70 for age > 70 years), spiculated margins (p = 0.001), and maximum diameter of SPN (p = 0.001; OR = 2.62 for diameters > 20 mm). The probabilistic model created in 1997 proved to be superior to that created in 2007-area under the ROC curve (AUC), 0.79 ± 0.44 (95% CI: 0.70-0.88) vs. 0.69 ± 0.50 (95% CI: 0.59-0.79).
Advanced age, greater maximum SPN diameter, and spiculated margins were significantly associated with the diagnosis of SPN malignancy. Our analysis shows that, although both mathematical models were effective in determining SPN malignancy in our population, the 1997 model was superior.</abstract><cop>Brazil</cop><pmid>23147047</pmid><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age Factors Aged Brazil Female Humans Lung Neoplasms - diagnosis Lung Neoplasms - pathology Male Middle Aged Models, Statistical Predictive Value of Tests Retrospective Studies Sensitivity and Specificity Solitary Pulmonary Nodule - diagnosis Solitary Pulmonary Nodule - pathology Young Adult |
title | Analysis and validation of probabilistic models for predicting malignancy in solitary pulmonary nodules in a population in Brazil |
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