Visual vs Fully Automatic Histogram-Based Assessment of Idiopathic Pulmonary Fibrosis (IPF) Progression Using Sequential Multidetector Computed Tomography (MDCT)

To describe changes over time in extent of idiopathic pulmonary fibrosis (IPF) at multidetector computed tomography (MDCT) assessed by semi-quantitative visual scores (VSs) and fully automatic histogram-based quantitative evaluation and to test the relationship between these two methods of quantific...

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Veröffentlicht in:PloS one 2015-06, Vol.10 (6), p.e0130653-e0130653
Hauptverfasser: Colombi, Davide, Dinkel, Julien, Weinheimer, Oliver, Obermayer, Berenike, Buzan, Teodora, Nabers, Diana, Bauer, Claudia, Oltmanns, Ute, Palmowski, Karin, Herth, Felix, Kauczor, Hans Ulrich, Sverzellati, Nicola, Kreuter, Michael, Heussel, Claus Peter
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container_title PloS one
container_volume 10
creator Colombi, Davide
Dinkel, Julien
Weinheimer, Oliver
Obermayer, Berenike
Buzan, Teodora
Nabers, Diana
Bauer, Claudia
Oltmanns, Ute
Palmowski, Karin
Herth, Felix
Kauczor, Hans Ulrich
Sverzellati, Nicola
Kreuter, Michael
Heussel, Claus Peter
description To describe changes over time in extent of idiopathic pulmonary fibrosis (IPF) at multidetector computed tomography (MDCT) assessed by semi-quantitative visual scores (VSs) and fully automatic histogram-based quantitative evaluation and to test the relationship between these two methods of quantification. Forty IPF patients (median age: 70 y, interquartile: 62-75 years; M:F, 33:7) that underwent 2 MDCT at different time points with a median interval of 13 months (interquartile: 10-17 months) were retrospectively evaluated. In-house software YACTA quantified automatically lung density histogram (10th-90th percentile in 5th percentile steps). Longitudinal changes in VSs and in the percentiles of attenuation histogram were obtained in 20 untreated patients and 20 patients treated with pirfenidone. Pearson correlation analysis was used to test the relationship between VSs and selected percentiles. In follow-up MDCT, visual overall extent of parenchymal abnormalities (OE) increased in median by 5%/year (interquartile: 0%/y; +11%/y). Substantial difference was found between treated and untreated patients in HU changes of the 40th and of the 80th percentiles of density histogram. Correlation analysis between VSs and selected percentiles showed higher correlation between the changes (Δ) in OE and Δ 40th percentile (r=0.69; p
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Forty IPF patients (median age: 70 y, interquartile: 62-75 years; M:F, 33:7) that underwent 2 MDCT at different time points with a median interval of 13 months (interquartile: 10-17 months) were retrospectively evaluated. In-house software YACTA quantified automatically lung density histogram (10th-90th percentile in 5th percentile steps). Longitudinal changes in VSs and in the percentiles of attenuation histogram were obtained in 20 untreated patients and 20 patients treated with pirfenidone. Pearson correlation analysis was used to test the relationship between VSs and selected percentiles. In follow-up MDCT, visual overall extent of parenchymal abnormalities (OE) increased in median by 5%/year (interquartile: 0%/y; +11%/y). Substantial difference was found between treated and untreated patients in HU changes of the 40th and of the 80th percentiles of density histogram. Correlation analysis between VSs and selected percentiles showed higher correlation between the changes (Δ) in OE and Δ 40th percentile (r=0.69; p&lt;0.001) as compared to Δ 80th percentile (r=0.58; p&lt;0.001); closer correlation was found between Δ ground-glass extent and Δ 40th percentile (r=0.66, p&lt;0.001) as compared to Δ 80th percentile (r=0.47, p=0.002), while the Δ reticulations correlated better with the Δ 80th percentile (r=0.56, p&lt;0.001) in comparison to Δ 40th percentile (r=0.43, p=0.003). There is a relevant and fully automatically measurable difference at MDCT in VSs and in histogram analysis at one year follow-up of IPF patients, whether treated or untreated: Δ 40th percentile might reflect the change in overall extent of lung abnormalities, notably of ground-glass pattern; furthermore Δ 80th percentile might reveal the course of reticular opacities.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0130653</identifier><identifier>PMID: 26110421</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abnormalities ; Aged ; Attenuation ; CAT scans ; Chronic obstructive pulmonary disease ; Computation ; Computed tomography ; Correlation ; Correlation analysis ; Critical care ; Development and progression ; Disease Progression ; Emphysema ; Female ; Fibrosis ; Humans ; Idiopathic Pulmonary Fibrosis - diagnostic imaging ; Idiopathic Pulmonary Fibrosis - drug therapy ; Lung - diagnostic imaging ; Lung diseases ; Male ; Medical imaging ; Medical research ; Medicine ; Middle Aged ; Multidetector Computed Tomography - methods ; Patients ; Pneumonia ; Pulmonary fibrosis ; Pyridones - therapeutic use ; Quantitative analysis ; Respiratory tract diseases ; Retrospective Studies ; Skewness ; Treatment Outcome</subject><ispartof>PloS one, 2015-06, Vol.10 (6), p.e0130653-e0130653</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Colombi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Colombi et al 2015 Colombi et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c605t-e785110181aa02284a0607727aa1dfcea7e7f0964c3552fd5c7ba0038c81134d3</citedby><cites>FETCH-LOGICAL-c605t-e785110181aa02284a0607727aa1dfcea7e7f0964c3552fd5c7ba0038c81134d3</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/PMC4482435/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482435/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2106,2932,23875,27933,27934,53800,53802</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26110421$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Hare, Joshua M.</contributor><creatorcontrib>Colombi, Davide</creatorcontrib><creatorcontrib>Dinkel, Julien</creatorcontrib><creatorcontrib>Weinheimer, Oliver</creatorcontrib><creatorcontrib>Obermayer, Berenike</creatorcontrib><creatorcontrib>Buzan, Teodora</creatorcontrib><creatorcontrib>Nabers, Diana</creatorcontrib><creatorcontrib>Bauer, Claudia</creatorcontrib><creatorcontrib>Oltmanns, Ute</creatorcontrib><creatorcontrib>Palmowski, Karin</creatorcontrib><creatorcontrib>Herth, Felix</creatorcontrib><creatorcontrib>Kauczor, Hans Ulrich</creatorcontrib><creatorcontrib>Sverzellati, Nicola</creatorcontrib><creatorcontrib>Kreuter, Michael</creatorcontrib><creatorcontrib>Heussel, Claus Peter</creatorcontrib><title>Visual vs Fully Automatic Histogram-Based Assessment of Idiopathic Pulmonary Fibrosis (IPF) Progression Using Sequential Multidetector Computed Tomography (MDCT)</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To describe changes over time in extent of idiopathic pulmonary fibrosis (IPF) at multidetector computed tomography (MDCT) assessed by semi-quantitative visual scores (VSs) and fully automatic histogram-based quantitative evaluation and to test the relationship between these two methods of quantification. Forty IPF patients (median age: 70 y, interquartile: 62-75 years; M:F, 33:7) that underwent 2 MDCT at different time points with a median interval of 13 months (interquartile: 10-17 months) were retrospectively evaluated. In-house software YACTA quantified automatically lung density histogram (10th-90th percentile in 5th percentile steps). Longitudinal changes in VSs and in the percentiles of attenuation histogram were obtained in 20 untreated patients and 20 patients treated with pirfenidone. Pearson correlation analysis was used to test the relationship between VSs and selected percentiles. In follow-up MDCT, visual overall extent of parenchymal abnormalities (OE) increased in median by 5%/year (interquartile: 0%/y; +11%/y). Substantial difference was found between treated and untreated patients in HU changes of the 40th and of the 80th percentiles of density histogram. Correlation analysis between VSs and selected percentiles showed higher correlation between the changes (Δ) in OE and Δ 40th percentile (r=0.69; p&lt;0.001) as compared to Δ 80th percentile (r=0.58; p&lt;0.001); closer correlation was found between Δ ground-glass extent and Δ 40th percentile (r=0.66, p&lt;0.001) as compared to Δ 80th percentile (r=0.47, p=0.002), while the Δ reticulations correlated better with the Δ 80th percentile (r=0.56, p&lt;0.001) in comparison to Δ 40th percentile (r=0.43, p=0.003). There is a relevant and fully automatically measurable difference at MDCT in VSs and in histogram analysis at one year follow-up of IPF patients, whether treated or untreated: Δ 40th percentile might reflect the change in overall extent of lung abnormalities, notably of ground-glass pattern; furthermore Δ 80th percentile might reveal the course of reticular opacities.</description><subject>Abnormalities</subject><subject>Aged</subject><subject>Attenuation</subject><subject>CAT scans</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Computation</subject><subject>Computed tomography</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Critical care</subject><subject>Development and progression</subject><subject>Disease Progression</subject><subject>Emphysema</subject><subject>Female</subject><subject>Fibrosis</subject><subject>Humans</subject><subject>Idiopathic Pulmonary Fibrosis - diagnostic imaging</subject><subject>Idiopathic Pulmonary Fibrosis - drug therapy</subject><subject>Lung - diagnostic imaging</subject><subject>Lung diseases</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Middle Aged</subject><subject>Multidetector Computed Tomography - methods</subject><subject>Patients</subject><subject>Pneumonia</subject><subject>Pulmonary fibrosis</subject><subject>Pyridones - therapeutic use</subject><subject>Quantitative analysis</subject><subject>Respiratory tract diseases</subject><subject>Retrospective Studies</subject><subject>Skewness</subject><subject>Treatment 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Colombi, Davide</au><au>Dinkel, Julien</au><au>Weinheimer, Oliver</au><au>Obermayer, Berenike</au><au>Buzan, Teodora</au><au>Nabers, Diana</au><au>Bauer, Claudia</au><au>Oltmanns, Ute</au><au>Palmowski, Karin</au><au>Herth, Felix</au><au>Kauczor, Hans Ulrich</au><au>Sverzellati, Nicola</au><au>Kreuter, Michael</au><au>Heussel, Claus Peter</au><au>Hare, Joshua M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Visual vs Fully Automatic Histogram-Based Assessment of Idiopathic Pulmonary Fibrosis (IPF) Progression Using Sequential Multidetector Computed Tomography (MDCT)</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-06-25</date><risdate>2015</risdate><volume>10</volume><issue>6</issue><spage>e0130653</spage><epage>e0130653</epage><pages>e0130653-e0130653</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To describe changes over time in extent of idiopathic pulmonary fibrosis (IPF) at multidetector computed tomography (MDCT) assessed by semi-quantitative visual scores (VSs) and fully automatic histogram-based quantitative evaluation and to test the relationship between these two methods of quantification. Forty IPF patients (median age: 70 y, interquartile: 62-75 years; M:F, 33:7) that underwent 2 MDCT at different time points with a median interval of 13 months (interquartile: 10-17 months) were retrospectively evaluated. In-house software YACTA quantified automatically lung density histogram (10th-90th percentile in 5th percentile steps). Longitudinal changes in VSs and in the percentiles of attenuation histogram were obtained in 20 untreated patients and 20 patients treated with pirfenidone. Pearson correlation analysis was used to test the relationship between VSs and selected percentiles. In follow-up MDCT, visual overall extent of parenchymal abnormalities (OE) increased in median by 5%/year (interquartile: 0%/y; +11%/y). Substantial difference was found between treated and untreated patients in HU changes of the 40th and of the 80th percentiles of density histogram. Correlation analysis between VSs and selected percentiles showed higher correlation between the changes (Δ) in OE and Δ 40th percentile (r=0.69; p&lt;0.001) as compared to Δ 80th percentile (r=0.58; p&lt;0.001); closer correlation was found between Δ ground-glass extent and Δ 40th percentile (r=0.66, p&lt;0.001) as compared to Δ 80th percentile (r=0.47, p=0.002), while the Δ reticulations correlated better with the Δ 80th percentile (r=0.56, p&lt;0.001) in comparison to Δ 40th percentile (r=0.43, p=0.003). There is a relevant and fully automatically measurable difference at MDCT in VSs and in histogram analysis at one year follow-up of IPF patients, whether treated or untreated: Δ 40th percentile might reflect the change in overall extent of lung abnormalities, notably of ground-glass pattern; furthermore Δ 80th percentile might reveal the course of reticular opacities.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26110421</pmid><doi>10.1371/journal.pone.0130653</doi><oa>free_for_read</oa></addata></record>
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subjects Abnormalities
Aged
Attenuation
CAT scans
Chronic obstructive pulmonary disease
Computation
Computed tomography
Correlation
Correlation analysis
Critical care
Development and progression
Disease Progression
Emphysema
Female
Fibrosis
Humans
Idiopathic Pulmonary Fibrosis - diagnostic imaging
Idiopathic Pulmonary Fibrosis - drug therapy
Lung - diagnostic imaging
Lung diseases
Male
Medical imaging
Medical research
Medicine
Middle Aged
Multidetector Computed Tomography - methods
Patients
Pneumonia
Pulmonary fibrosis
Pyridones - therapeutic use
Quantitative analysis
Respiratory tract diseases
Retrospective Studies
Skewness
Treatment Outcome
title Visual vs Fully Automatic Histogram-Based Assessment of Idiopathic Pulmonary Fibrosis (IPF) Progression Using Sequential Multidetector Computed Tomography (MDCT)
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