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Serial changes of CT findings in patients with chronic hypersensitivity pneumonitis: imaging trajectories and predictors of fibrotic progression and acute exacerbation
Objectives To evaluate the longitudinal changes of chest CT findings in patients with chronic hypersensitivity pneumonitis (HP) and identify risk factors for fibrotic progression and acute exacerbation (AE). Methods This retrospective study included patients with chronic HP with follow-up CT. Baseli...
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Published in: | European radiology 2021-06, Vol.31 (6), p.3993-4003 |
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description | Objectives
To evaluate the longitudinal changes of chest CT findings in patients with chronic hypersensitivity pneumonitis (HP) and identify risk factors for fibrotic progression and acute exacerbation (AE).
Methods
This retrospective study included patients with chronic HP with follow-up CT. Baseline and serial follow-up CT were evaluated semi-quantitatively. Fibrosis score was defined as the sum of the area with reticulation and honeycombing. The modified CT pattern of Fleischner Society idiopathic pulmonary fibrosis diagnostic guidelines was evaluated. Cox proportional hazards regression was performed to determine significant variables associated with fibrotic progression and AEs.
Results
Of 91 patients, mean age was 59.1 years and 61.5% were women. The median follow-up period was 4.9 years. Seventy-nine patients (86.8%) showed fibrotic progression with persistent areas of mosaic attenuation, finally replaced by fibrosis, and 20 (22.0%) developed AE. Baseline fibrosis score and CT pattern of usual interstitial pneumonia (UIP)/probable UIP were independent risk factors for predicting fibrotic progression (hazard ratio [HR] = 1.05, 95% confidence interval [CI] = 1.02–1.09,
p
< 0.001, for fibrosis score; HR = 2.50, CI = 1.50–4.16,
p
< 0.001, for CT pattern) and AEs (HR = 1.07, CI = 1.01–1.13,
p
= 0.019, for fibrosis score; HR = 5.47, CI = 1.23–24.45,
p
= 0.026, for CT pattern) after adjusting clinical covariables.
Conclusion
Fibrotic progression and AE were identified in 86.8% and 22.0% of patients with chronic HP. Fibrosis score and CT pattern of UIP/probable UIP on baseline chest CT may predict fibrotic progression and AE.
Key Points
• Most patients (87%) showed fibrotic progression on long-term follow-up with persistent areas of mosaic attenuation that were finally replaced by fibrosis at a later stage.
• One-fifth of patients (22%) experienced acute exacerbation associated with worse prognosis.
• Fibrosis score (sum of reticulation and honeycombing) and CT pattern of UIP/probable UIP on baseline CT were independent predictors for predicting fibrotic progression and acute exacerbation. |
doi_str_mv | 10.1007/s00330-020-07469-2 |
format | article |
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To evaluate the longitudinal changes of chest CT findings in patients with chronic hypersensitivity pneumonitis (HP) and identify risk factors for fibrotic progression and acute exacerbation (AE).
Methods
This retrospective study included patients with chronic HP with follow-up CT. Baseline and serial follow-up CT were evaluated semi-quantitatively. Fibrosis score was defined as the sum of the area with reticulation and honeycombing. The modified CT pattern of Fleischner Society idiopathic pulmonary fibrosis diagnostic guidelines was evaluated. Cox proportional hazards regression was performed to determine significant variables associated with fibrotic progression and AEs.
Results
Of 91 patients, mean age was 59.1 years and 61.5% were women. The median follow-up period was 4.9 years. Seventy-nine patients (86.8%) showed fibrotic progression with persistent areas of mosaic attenuation, finally replaced by fibrosis, and 20 (22.0%) developed AE. Baseline fibrosis score and CT pattern of usual interstitial pneumonia (UIP)/probable UIP were independent risk factors for predicting fibrotic progression (hazard ratio [HR] = 1.05, 95% confidence interval [CI] = 1.02–1.09,
p
< 0.001, for fibrosis score; HR = 2.50, CI = 1.50–4.16,
p
< 0.001, for CT pattern) and AEs (HR = 1.07, CI = 1.01–1.13,
p
= 0.019, for fibrosis score; HR = 5.47, CI = 1.23–24.45,
p
= 0.026, for CT pattern) after adjusting clinical covariables.
Conclusion
Fibrotic progression and AE were identified in 86.8% and 22.0% of patients with chronic HP. Fibrosis score and CT pattern of UIP/probable UIP on baseline chest CT may predict fibrotic progression and AE.
Key Points
• Most patients (87%) showed fibrotic progression on long-term follow-up with persistent areas of mosaic attenuation that were finally replaced by fibrosis at a later stage.
• One-fifth of patients (22%) experienced acute exacerbation associated with worse prognosis.
• Fibrosis score (sum of reticulation and honeycombing) and CT pattern of UIP/probable UIP on baseline CT were independent predictors for predicting fibrotic progression and acute exacerbation.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-020-07469-2</identifier><identifier>PMID: 33241510</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Alveolitis ; Alveolitis, Extrinsic Allergic - diagnostic imaging ; Attenuation ; Chest ; Computed tomography ; Confidence intervals ; Diagnostic Radiology ; Female ; Fibrosis ; Humans ; Hypersensitivity ; Idiopathic Pulmonary Fibrosis - diagnostic imaging ; Imaging ; Internal Medicine ; Interventional Radiology ; Lavage ; Lung diseases ; Male ; Medical imaging ; Medical prognosis ; Medicine ; Medicine & Public Health ; Middle Aged ; Neuroradiology ; Pneumonia ; Pneumonitis ; Prognosis ; Pulmonary fibrosis ; Radiology ; Retrospective Studies ; Risk analysis ; Risk factors ; Software ; Statistical analysis ; Tomography, X-Ray Computed ; Ultrasound</subject><ispartof>European radiology, 2021-06, Vol.31 (6), p.3993-4003</ispartof><rights>European Society of Radiology 2020</rights><rights>European Society of Radiology 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-9de53e4f0032bee27d07cdd347385711e3adf1865dcadd5c0f2c2d0f373772963</citedby><cites>FETCH-LOGICAL-c375t-9de53e4f0032bee27d07cdd347385711e3adf1865dcadd5c0f2c2d0f373772963</cites><orcidid>0000-0002-5299-0048</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33241510$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Choe, Jooae</creatorcontrib><creatorcontrib>Chae, Eun Jin</creatorcontrib><creatorcontrib>Kim, Yeon Joo</creatorcontrib><creatorcontrib>Do, Kyung-Hyun</creatorcontrib><creatorcontrib>Song, Joon Seon</creatorcontrib><creatorcontrib>Song, Jin Woo</creatorcontrib><title>Serial changes of CT findings in patients with chronic hypersensitivity pneumonitis: imaging trajectories and predictors of fibrotic progression and acute exacerbation</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To evaluate the longitudinal changes of chest CT findings in patients with chronic hypersensitivity pneumonitis (HP) and identify risk factors for fibrotic progression and acute exacerbation (AE).
Methods
This retrospective study included patients with chronic HP with follow-up CT. Baseline and serial follow-up CT were evaluated semi-quantitatively. Fibrosis score was defined as the sum of the area with reticulation and honeycombing. The modified CT pattern of Fleischner Society idiopathic pulmonary fibrosis diagnostic guidelines was evaluated. Cox proportional hazards regression was performed to determine significant variables associated with fibrotic progression and AEs.
Results
Of 91 patients, mean age was 59.1 years and 61.5% were women. The median follow-up period was 4.9 years. Seventy-nine patients (86.8%) showed fibrotic progression with persistent areas of mosaic attenuation, finally replaced by fibrosis, and 20 (22.0%) developed AE. Baseline fibrosis score and CT pattern of usual interstitial pneumonia (UIP)/probable UIP were independent risk factors for predicting fibrotic progression (hazard ratio [HR] = 1.05, 95% confidence interval [CI] = 1.02–1.09,
p
< 0.001, for fibrosis score; HR = 2.50, CI = 1.50–4.16,
p
< 0.001, for CT pattern) and AEs (HR = 1.07, CI = 1.01–1.13,
p
= 0.019, for fibrosis score; HR = 5.47, CI = 1.23–24.45,
p
= 0.026, for CT pattern) after adjusting clinical covariables.
Conclusion
Fibrotic progression and AE were identified in 86.8% and 22.0% of patients with chronic HP. Fibrosis score and CT pattern of UIP/probable UIP on baseline chest CT may predict fibrotic progression and AE.
Key Points
• Most patients (87%) showed fibrotic progression on long-term follow-up with persistent areas of mosaic attenuation that were finally replaced by fibrosis at a later stage.
• One-fifth of patients (22%) experienced acute exacerbation associated with worse prognosis.
• Fibrosis score (sum of reticulation and honeycombing) and CT pattern of UIP/probable UIP on baseline CT were independent predictors for predicting fibrotic progression and acute exacerbation.</description><subject>Alveolitis</subject><subject>Alveolitis, Extrinsic Allergic - diagnostic imaging</subject><subject>Attenuation</subject><subject>Chest</subject><subject>Computed tomography</subject><subject>Confidence intervals</subject><subject>Diagnostic Radiology</subject><subject>Female</subject><subject>Fibrosis</subject><subject>Humans</subject><subject>Hypersensitivity</subject><subject>Idiopathic Pulmonary Fibrosis - diagnostic imaging</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Lavage</subject><subject>Lung diseases</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neuroradiology</subject><subject>Pneumonia</subject><subject>Pneumonitis</subject><subject>Prognosis</subject><subject>Pulmonary fibrosis</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Tomography, X-Ray Computed</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kc9uEzEQxi1ERdPCC3BAlrhwWep_u97lhiIoSJV6oJwtx55NHCX24vECeSJeEzcpIHHowRrJ85vvG81HyEvO3nLG9BUyJiVrmKhPq25oxBOy4EqKhrNePSULNsi-0cOgzskF4pYxNnCln5FzKYXiLWcL8usL5GB31G1sXAPSNNLlHR1D9CGukYZIJ1sCxIL0RyibyuUUg6ObwwQZIWIo4XsoBzpFmPe1VQK-o2Fv13Welmy34ErKoUrb6OmUwYf7j6PTGFY5lao25bTOgBhSPGLWzQUo_LQO8qr6p_icnI12h_DioV6Srx8_3C0_NTe315-X728aJ3VbmsFDK0GN9TJiBSC0Z9p5L5WWfas5B2n9yPuu9c563zo2Cic8G6WWWouhk5fkzUm3rvRtBixmH9DBbmcjpBmNUJ3qWMsVr-jr_9BtmnOs2xnRil5yJfq-UuJEuZwQM4xmyvU8-WA4M_cxmlOMpsZojjEaUYdePUjPqz34vyN_cquAPAFYWzW4_M_7EdnfPkGsOQ</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Choe, Jooae</creator><creator>Chae, Eun Jin</creator><creator>Kim, Yeon Joo</creator><creator>Do, Kyung-Hyun</creator><creator>Song, Joon Seon</creator><creator>Song, Jin Woo</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5299-0048</orcidid></search><sort><creationdate>20210601</creationdate><title>Serial changes of CT findings in patients with chronic hypersensitivity pneumonitis: imaging trajectories and predictors of fibrotic progression and acute exacerbation</title><author>Choe, Jooae ; Chae, Eun Jin ; Kim, Yeon Joo ; Do, Kyung-Hyun ; Song, Joon Seon ; Song, Jin Woo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-9de53e4f0032bee27d07cdd347385711e3adf1865dcadd5c0f2c2d0f373772963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alveolitis</topic><topic>Alveolitis, Extrinsic Allergic - diagnostic imaging</topic><topic>Attenuation</topic><topic>Chest</topic><topic>Computed tomography</topic><topic>Confidence intervals</topic><topic>Diagnostic Radiology</topic><topic>Female</topic><topic>Fibrosis</topic><topic>Humans</topic><topic>Hypersensitivity</topic><topic>Idiopathic Pulmonary Fibrosis - diagnostic imaging</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Lavage</topic><topic>Lung diseases</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neuroradiology</topic><topic>Pneumonia</topic><topic>Pneumonitis</topic><topic>Prognosis</topic><topic>Pulmonary fibrosis</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Tomography, X-Ray Computed</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Choe, Jooae</creatorcontrib><creatorcontrib>Chae, Eun Jin</creatorcontrib><creatorcontrib>Kim, Yeon Joo</creatorcontrib><creatorcontrib>Do, Kyung-Hyun</creatorcontrib><creatorcontrib>Song, Joon Seon</creatorcontrib><creatorcontrib>Song, Jin Woo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Choe, Jooae</au><au>Chae, Eun Jin</au><au>Kim, Yeon Joo</au><au>Do, Kyung-Hyun</au><au>Song, Joon Seon</au><au>Song, Jin Woo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Serial changes of CT findings in patients with chronic hypersensitivity pneumonitis: imaging trajectories and predictors of fibrotic progression and acute exacerbation</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2021-06-01</date><risdate>2021</risdate><volume>31</volume><issue>6</issue><spage>3993</spage><epage>4003</epage><pages>3993-4003</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To evaluate the longitudinal changes of chest CT findings in patients with chronic hypersensitivity pneumonitis (HP) and identify risk factors for fibrotic progression and acute exacerbation (AE).
Methods
This retrospective study included patients with chronic HP with follow-up CT. Baseline and serial follow-up CT were evaluated semi-quantitatively. Fibrosis score was defined as the sum of the area with reticulation and honeycombing. The modified CT pattern of Fleischner Society idiopathic pulmonary fibrosis diagnostic guidelines was evaluated. Cox proportional hazards regression was performed to determine significant variables associated with fibrotic progression and AEs.
Results
Of 91 patients, mean age was 59.1 years and 61.5% were women. The median follow-up period was 4.9 years. Seventy-nine patients (86.8%) showed fibrotic progression with persistent areas of mosaic attenuation, finally replaced by fibrosis, and 20 (22.0%) developed AE. Baseline fibrosis score and CT pattern of usual interstitial pneumonia (UIP)/probable UIP were independent risk factors for predicting fibrotic progression (hazard ratio [HR] = 1.05, 95% confidence interval [CI] = 1.02–1.09,
p
< 0.001, for fibrosis score; HR = 2.50, CI = 1.50–4.16,
p
< 0.001, for CT pattern) and AEs (HR = 1.07, CI = 1.01–1.13,
p
= 0.019, for fibrosis score; HR = 5.47, CI = 1.23–24.45,
p
= 0.026, for CT pattern) after adjusting clinical covariables.
Conclusion
Fibrotic progression and AE were identified in 86.8% and 22.0% of patients with chronic HP. Fibrosis score and CT pattern of UIP/probable UIP on baseline chest CT may predict fibrotic progression and AE.
Key Points
• Most patients (87%) showed fibrotic progression on long-term follow-up with persistent areas of mosaic attenuation that were finally replaced by fibrosis at a later stage.
• One-fifth of patients (22%) experienced acute exacerbation associated with worse prognosis.
• Fibrosis score (sum of reticulation and honeycombing) and CT pattern of UIP/probable UIP on baseline CT were independent predictors for predicting fibrotic progression and acute exacerbation.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>33241510</pmid><doi>10.1007/s00330-020-07469-2</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-5299-0048</orcidid></addata></record> |
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language | eng |
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subjects | Alveolitis Alveolitis, Extrinsic Allergic - diagnostic imaging Attenuation Chest Computed tomography Confidence intervals Diagnostic Radiology Female Fibrosis Humans Hypersensitivity Idiopathic Pulmonary Fibrosis - diagnostic imaging Imaging Internal Medicine Interventional Radiology Lavage Lung diseases Male Medical imaging Medical prognosis Medicine Medicine & Public Health Middle Aged Neuroradiology Pneumonia Pneumonitis Prognosis Pulmonary fibrosis Radiology Retrospective Studies Risk analysis Risk factors Software Statistical analysis Tomography, X-Ray Computed Ultrasound |
title | Serial changes of CT findings in patients with chronic hypersensitivity pneumonitis: imaging trajectories and predictors of fibrotic progression and acute exacerbation |
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