Quantification of Pulmonary Inflammatory Processes Using Chest Radiography: Tuberculosis as the Motivating Application
The purpose of this work was to develop a quantitative method for evaluating the pulmonary inflammatory process (PIP) through the computational analysis of chest radiography exams in posteroanterior (PA) and lateral views. The quantification procedure was applied to patients with tuberculosis (TB) a...
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Veröffentlicht in: | Medicine (Baltimore) 2015-07, Vol.94 (26), p.e1044-e1044 |
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creator | Giacomini, Guilherme Miranda, José R.A. Pavan, Ana Luiza M. Duarte, Sérgio B. Ribeiro, Sérgio M. Pereira, Paulo C.M. Alves, Allan F.F. de Oliveira, Marcela Pina, Diana R. |
description | The purpose of this work was to develop a quantitative method for evaluating the pulmonary inflammatory process (PIP) through the computational analysis of chest radiography exams in posteroanterior (PA) and lateral views. The quantification procedure was applied to patients with tuberculosis (TB) as the motivating application.A study of high-resolution computed tomography (HRCT) examinations of patients with TB was developed to establish a relation between the inflammatory process and the signal difference-to-noise ratio (SDNR) measured in the PA projection. A phantom essay was used to validate this relation, which was implemented using an algorithm that is able to estimate the volume of the inflammatory region based solely on SDNR values in the chest radiographs of patients.The PIP volumes that were quantified for 30 patients with TB were used for comparisons with direct HRCT analysis for the same patient. The Bland-Altman statistical analyses showed no significant differences between the 2 quantification methods. The linear regression line had a correlation coefficient of R = 0.97 and P < 0.001, showing a strong association between the volume that was determined by our evaluation method and the results obtained by direct HRCT scan analysis.Since the diagnosis and follow-up of patients with TB is commonly performed using X-rays exams, the method developed herein can be considered an adequate tool for quantifying the PIP with a lower patient radiation dose and lower institutional cost. Although we used patients with TB for the application of the method, this method may be used for other pulmonary diseases characterized by a PIP. |
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The quantification procedure was applied to patients with tuberculosis (TB) as the motivating application.A study of high-resolution computed tomography (HRCT) examinations of patients with TB was developed to establish a relation between the inflammatory process and the signal difference-to-noise ratio (SDNR) measured in the PA projection. A phantom essay was used to validate this relation, which was implemented using an algorithm that is able to estimate the volume of the inflammatory region based solely on SDNR values in the chest radiographs of patients.The PIP volumes that were quantified for 30 patients with TB were used for comparisons with direct HRCT analysis for the same patient. The Bland-Altman statistical analyses showed no significant differences between the 2 quantification methods. The linear regression line had a correlation coefficient of R = 0.97 and P < 0.001, showing a strong association between the volume that was determined by our evaluation method and the results obtained by direct HRCT scan analysis.Since the diagnosis and follow-up of patients with TB is commonly performed using X-rays exams, the method developed herein can be considered an adequate tool for quantifying the PIP with a lower patient radiation dose and lower institutional cost. Although we used patients with TB for the application of the method, this method may be used for other pulmonary diseases characterized by a PIP.</description><identifier>ISSN: 0025-7974</identifier><identifier>EISSN: 1536-5964</identifier><identifier>DOI: 10.1097/MD.0000000000001044</identifier><identifier>PMID: 26131814</identifier><language>eng</language><publisher>United States: Wolters Kluwer Health, Inc. All rights reserved</publisher><subject>Adult ; Female ; Humans ; Male ; Middle Aged ; Phantoms, Imaging ; Quality Improvement ; Quality Improvement Study ; Radiography, Thoracic - methods ; Tuberculosis, Pulmonary - diagnostic imaging</subject><ispartof>Medicine (Baltimore), 2015-07, Vol.94 (26), p.e1044-e1044</ispartof><rights>Wolters Kluwer Health, Inc. All rights reserved.</rights><rights>Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3551-e61a2458c4b0ba474fafceeb819c8f69edf3aa073f31e087c347cd5b199ce88c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4504622/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4504622/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26131814$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Giacomini, Guilherme</creatorcontrib><creatorcontrib>Miranda, José R.A.</creatorcontrib><creatorcontrib>Pavan, Ana Luiza M.</creatorcontrib><creatorcontrib>Duarte, Sérgio B.</creatorcontrib><creatorcontrib>Ribeiro, Sérgio M.</creatorcontrib><creatorcontrib>Pereira, Paulo C.M.</creatorcontrib><creatorcontrib>Alves, Allan F.F.</creatorcontrib><creatorcontrib>de Oliveira, Marcela</creatorcontrib><creatorcontrib>Pina, Diana R.</creatorcontrib><title>Quantification of Pulmonary Inflammatory Processes Using Chest Radiography: Tuberculosis as the Motivating Application</title><title>Medicine (Baltimore)</title><addtitle>Medicine (Baltimore)</addtitle><description>The purpose of this work was to develop a quantitative method for evaluating the pulmonary inflammatory process (PIP) through the computational analysis of chest radiography exams in posteroanterior (PA) and lateral views. The quantification procedure was applied to patients with tuberculosis (TB) as the motivating application.A study of high-resolution computed tomography (HRCT) examinations of patients with TB was developed to establish a relation between the inflammatory process and the signal difference-to-noise ratio (SDNR) measured in the PA projection. A phantom essay was used to validate this relation, which was implemented using an algorithm that is able to estimate the volume of the inflammatory region based solely on SDNR values in the chest radiographs of patients.The PIP volumes that were quantified for 30 patients with TB were used for comparisons with direct HRCT analysis for the same patient. The Bland-Altman statistical analyses showed no significant differences between the 2 quantification methods. The linear regression line had a correlation coefficient of R = 0.97 and P < 0.001, showing a strong association between the volume that was determined by our evaluation method and the results obtained by direct HRCT scan analysis.Since the diagnosis and follow-up of patients with TB is commonly performed using X-rays exams, the method developed herein can be considered an adequate tool for quantifying the PIP with a lower patient radiation dose and lower institutional cost. Although we used patients with TB for the application of the method, this method may be used for other pulmonary diseases characterized by a PIP.</description><subject>Adult</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Phantoms, Imaging</subject><subject>Quality Improvement</subject><subject>Quality Improvement Study</subject><subject>Radiography, Thoracic - methods</subject><subject>Tuberculosis, Pulmonary - diagnostic imaging</subject><issn>0025-7974</issn><issn>1536-5964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkVFvFCEUhYnR2LX6C0wMj75MhQGGwQeTZqttk26spn0mDHvZQZlhCzPb9N-L7tpUeSFczvkul4PQW0pOKFHyw-rshDxZlHD-DC2oYE0lVMOfowUhtaikkvwIvcr5R9EwWfOX6KhuKKMt5Qu0-zabcfLOWzP5OOLo8PUchjia9IAvRxfMMJgplsN1ihZyhoxvsx83eNlDnvB3s_Zxk8y2f_iIb-YOkp1DzD5jk_HUA17Fye8KuzhOt9tw6PMavXAmZHhz2I_R7ZfPN8uL6urr-eXy9KqyTAhaQUNNzUVreUc6wyV3xlmArqXKtq5RsHbMGCKZYxRIKy3j0q5FR5Wy0LaWHaNPe-527gZYWxinZILeJj-UAXU0Xv97M_peb-JOc0F4U9cF8P4ASPFuLhPrwWcLIZgR4pw1bVT5U9oqWqRsL7Up5pzAPbahRP9OTK_O9P-JFde7py989PyNqAj4XnAfwwQp_wzzPSTdgwlT_4cnpKqrmlBBZGFWpcIo-wVhmqTk</recordid><startdate>20150701</startdate><enddate>20150701</enddate><creator>Giacomini, Guilherme</creator><creator>Miranda, José R.A.</creator><creator>Pavan, Ana Luiza M.</creator><creator>Duarte, Sérgio B.</creator><creator>Ribeiro, Sérgio M.</creator><creator>Pereira, Paulo C.M.</creator><creator>Alves, Allan F.F.</creator><creator>de Oliveira, Marcela</creator><creator>Pina, Diana R.</creator><general>Wolters Kluwer Health, Inc. All rights reserved</general><general>Wolters Kluwer Health</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20150701</creationdate><title>Quantification of Pulmonary Inflammatory Processes Using Chest Radiography: Tuberculosis as the Motivating Application</title><author>Giacomini, Guilherme ; Miranda, José R.A. ; Pavan, Ana Luiza M. ; Duarte, Sérgio B. ; Ribeiro, Sérgio M. ; Pereira, Paulo C.M. ; Alves, Allan F.F. ; de Oliveira, Marcela ; Pina, Diana R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3551-e61a2458c4b0ba474fafceeb819c8f69edf3aa073f31e087c347cd5b199ce88c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Phantoms, Imaging</topic><topic>Quality Improvement</topic><topic>Quality Improvement Study</topic><topic>Radiography, Thoracic - methods</topic><topic>Tuberculosis, Pulmonary - diagnostic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Giacomini, Guilherme</creatorcontrib><creatorcontrib>Miranda, José R.A.</creatorcontrib><creatorcontrib>Pavan, Ana Luiza M.</creatorcontrib><creatorcontrib>Duarte, Sérgio B.</creatorcontrib><creatorcontrib>Ribeiro, Sérgio M.</creatorcontrib><creatorcontrib>Pereira, Paulo C.M.</creatorcontrib><creatorcontrib>Alves, Allan F.F.</creatorcontrib><creatorcontrib>de Oliveira, Marcela</creatorcontrib><creatorcontrib>Pina, Diana R.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medicine (Baltimore)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Giacomini, Guilherme</au><au>Miranda, José R.A.</au><au>Pavan, Ana Luiza M.</au><au>Duarte, Sérgio B.</au><au>Ribeiro, Sérgio M.</au><au>Pereira, Paulo C.M.</au><au>Alves, Allan F.F.</au><au>de Oliveira, Marcela</au><au>Pina, Diana R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantification of Pulmonary Inflammatory Processes Using Chest Radiography: Tuberculosis as the Motivating Application</atitle><jtitle>Medicine (Baltimore)</jtitle><addtitle>Medicine (Baltimore)</addtitle><date>2015-07-01</date><risdate>2015</risdate><volume>94</volume><issue>26</issue><spage>e1044</spage><epage>e1044</epage><pages>e1044-e1044</pages><issn>0025-7974</issn><eissn>1536-5964</eissn><abstract>The purpose of this work was to develop a quantitative method for evaluating the pulmonary inflammatory process (PIP) through the computational analysis of chest radiography exams in posteroanterior (PA) and lateral views. The quantification procedure was applied to patients with tuberculosis (TB) as the motivating application.A study of high-resolution computed tomography (HRCT) examinations of patients with TB was developed to establish a relation between the inflammatory process and the signal difference-to-noise ratio (SDNR) measured in the PA projection. A phantom essay was used to validate this relation, which was implemented using an algorithm that is able to estimate the volume of the inflammatory region based solely on SDNR values in the chest radiographs of patients.The PIP volumes that were quantified for 30 patients with TB were used for comparisons with direct HRCT analysis for the same patient. The Bland-Altman statistical analyses showed no significant differences between the 2 quantification methods. The linear regression line had a correlation coefficient of R = 0.97 and P < 0.001, showing a strong association between the volume that was determined by our evaluation method and the results obtained by direct HRCT scan analysis.Since the diagnosis and follow-up of patients with TB is commonly performed using X-rays exams, the method developed herein can be considered an adequate tool for quantifying the PIP with a lower patient radiation dose and lower institutional cost. Although we used patients with TB for the application of the method, this method may be used for other pulmonary diseases characterized by a PIP.</abstract><cop>United States</cop><pub>Wolters Kluwer Health, Inc. All rights reserved</pub><pmid>26131814</pmid><doi>10.1097/MD.0000000000001044</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Female Humans Male Middle Aged Phantoms, Imaging Quality Improvement Quality Improvement Study Radiography, Thoracic - methods Tuberculosis, Pulmonary - diagnostic imaging |
title | Quantification of Pulmonary Inflammatory Processes Using Chest Radiography: Tuberculosis as the Motivating Application |
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