Peripheral interstitial lung abnormalities on LDCT in an asymptomatic, nonsmoking Chinese urban cohort
To retrospectively investigate the imaging features and the related influencing factors of peripheral interstitial lung abnormalities (PILA) that caused “normal aging” by low-dose computed tomography (LDCT) in an nonsmoking, asymptomatic Chinese urban cohort. The clinical data of 733 subjects who un...
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| Veröffentlicht in: | Medicine (Baltimore) 2023-04, Vol.102 (16), p.e33630-e33630 |
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| creator | Gao, Zhimei Li, Xin Li, Yan Zhang, Chenguang Li, Yaguang Sun, Mengyue Wu, Yalan Li, Shujing Zhang, Yingqi |
| description | To retrospectively investigate the imaging features and the related influencing factors of peripheral interstitial lung abnormalities (PILA) that caused “normal aging” by low-dose computed tomography (LDCT) in an nonsmoking, asymptomatic Chinese urban cohort. The clinical data of 733 subjects who underwent chest LDCT were retrospectively collected. The computed tomography (CT) signs of PILA (interlobular septal thickening [ILST], intralobular interstitial thickening [ILIT], ground-glass opacity [GGO], reticular shadow [RS], subpleural line [SL]) were evaluated at 6 levels and statistically analyzed. The effects of age, sex, body mass index (BMI), blood pressure (BP), and blood biochemistry parameters on ILST, ILIT, and RS were analyzed by Binary Logistic regression analysis. Significant age differences in PILA were found. None of the 5 PILA CT signs (GGO, ILST, ILIT, RS, and SL) was observed in subjects under 40 years old, while in subjects over 40 years old, the incidence of PILA increased with age. All 5 CT signs of PILA were significantly different among the subjects aged 18 to 49, 50 to 69, and 70 to 79 (P |
| doi_str_mv | 10.1097/MD.0000000000033630 |
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The clinical data of 733 subjects who underwent chest LDCT were retrospectively collected. The computed tomography (CT) signs of PILA (interlobular septal thickening [ILST], intralobular interstitial thickening [ILIT], ground-glass opacity [GGO], reticular shadow [RS], subpleural line [SL]) were evaluated at 6 levels and statistically analyzed. The effects of age, sex, body mass index (BMI), blood pressure (BP), and blood biochemistry parameters on ILST, ILIT, and RS were analyzed by Binary Logistic regression analysis. Significant age differences in PILA were found. None of the 5 PILA CT signs (GGO, ILST, ILIT, RS, and SL) was observed in subjects under 40 years old, while in subjects over 40 years old, the incidence of PILA increased with age. All 5 CT signs of PILA were significantly different among the subjects aged 18 to 49, 50 to 69, and 70 to 79 (P < .05). There was no significant sex difference in PILA. Among age, sex, BMI, BP, and laboratory biochemistry parameters, only age had a significant effect on ILST, ILIT, and RS. LDCT can be used as a noninvasive method to evaluate the PILA. PILA were mainly affected by age, while sex, BMI, BP, and laboratory biochemistry parameters had little effect on PILA. PILA observed before the age of 40 years should be considered an abnormal finding, whereas it is common in individuals over 70.</description><identifier>ISSN: 0025-7974</identifier><identifier>EISSN: 1536-5964</identifier><identifier>DOI: 10.1097/MD.0000000000033630</identifier><identifier>PMID: 37083763</identifier><language>eng</language><publisher>United States: Lippincott Williams & Wilkins</publisher><subject>Adolescent ; Adult ; Age Factors ; Aged ; Aging - physiology ; China ; East Asian People ; Female ; Humans ; Lung - diagnostic imaging ; Lung - physiopathology ; Lung Diseases, Interstitial - diagnostic imaging ; Lung Diseases, Interstitial - physiopathology ; Male ; Middle Aged ; Observational Study ; Retrospective Studies ; Tomography, X-Ray Computed - methods ; Urban Population ; Young Adult</subject><ispartof>Medicine (Baltimore), 2023-04, Vol.102 (16), p.e33630-e33630</ispartof><rights>Lippincott Williams & Wilkins</rights><rights>Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.</rights><rights>Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c4012-68d9795f56c8a847f3d7cdd9f91246b985aa27d97902f4ae224ba6f78519983b3</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/PMC10118360/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118360/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37083763$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gao, Zhimei</creatorcontrib><creatorcontrib>Li, Xin</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Zhang, Chenguang</creatorcontrib><creatorcontrib>Li, Yaguang</creatorcontrib><creatorcontrib>Sun, Mengyue</creatorcontrib><creatorcontrib>Wu, Yalan</creatorcontrib><creatorcontrib>Li, Shujing</creatorcontrib><creatorcontrib>Zhang, Yingqi</creatorcontrib><title>Peripheral interstitial lung abnormalities on LDCT in an asymptomatic, nonsmoking Chinese urban cohort</title><title>Medicine (Baltimore)</title><addtitle>Medicine (Baltimore)</addtitle><description>To retrospectively investigate the imaging features and the related influencing factors of peripheral interstitial lung abnormalities (PILA) that caused “normal aging” by low-dose computed tomography (LDCT) in an nonsmoking, asymptomatic Chinese urban cohort. The clinical data of 733 subjects who underwent chest LDCT were retrospectively collected. The computed tomography (CT) signs of PILA (interlobular septal thickening [ILST], intralobular interstitial thickening [ILIT], ground-glass opacity [GGO], reticular shadow [RS], subpleural line [SL]) were evaluated at 6 levels and statistically analyzed. The effects of age, sex, body mass index (BMI), blood pressure (BP), and blood biochemistry parameters on ILST, ILIT, and RS were analyzed by Binary Logistic regression analysis. Significant age differences in PILA were found. None of the 5 PILA CT signs (GGO, ILST, ILIT, RS, and SL) was observed in subjects under 40 years old, while in subjects over 40 years old, the incidence of PILA increased with age. All 5 CT signs of PILA were significantly different among the subjects aged 18 to 49, 50 to 69, and 70 to 79 (P < .05). There was no significant sex difference in PILA. Among age, sex, BMI, BP, and laboratory biochemistry parameters, only age had a significant effect on ILST, ILIT, and RS. LDCT can be used as a noninvasive method to evaluate the PILA. PILA were mainly affected by age, while sex, BMI, BP, and laboratory biochemistry parameters had little effect on PILA. PILA observed before the age of 40 years should be considered an abnormal finding, whereas it is common in individuals over 70.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aging - physiology</subject><subject>China</subject><subject>East Asian People</subject><subject>Female</subject><subject>Humans</subject><subject>Lung - diagnostic imaging</subject><subject>Lung - physiopathology</subject><subject>Lung Diseases, Interstitial - diagnostic imaging</subject><subject>Lung Diseases, Interstitial - physiopathology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Observational Study</subject><subject>Retrospective Studies</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Urban Population</subject><subject>Young Adult</subject><issn>0025-7974</issn><issn>1536-5964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkc1u1DAUhS1ERYfCEyChLFmQcv0frxCaKS3SVLAoa8tJnMbUsQc7oerb18OUArWuZPn6O8fXOgi9wXCKQckPl5tT-LsoFRSeoRXmVNRcCfYcrQAIr6WS7Bi9zPkHAKaSsBfomEpoqBR0hYZvNrndaJPxlQuzTXl2sysHv4TryrQhpsn40rK5iqHabtZXhatMqXw37eY4mdl176sQQ57ijSui9eiCzbZaUluwLo4xza_Q0WB8tq8f9hP0_fPZ1fqi3n49_7L-tK07BpjUoumVVHzgomtMw-RAe9n1vRoUJky0quHGELlngAzMWEJYa8QgG46VamhLT9DHg-9uaSfbdzbM5Wd6l9xk0p2Oxun_b4Ib9XX8pTFg3FABxeHdg0OKPxebZz253FnvTbBxyZo0wIEIKlhB6QHtUsw52eHxHQx6H5G-3OinERXV239HfNT8yaQA7ADcRr8P5MYvtzbp0Ro_j7_9uFSkJkAoMIKh3rcIvQfb9Z06</recordid><startdate>20230421</startdate><enddate>20230421</enddate><creator>Gao, Zhimei</creator><creator>Li, Xin</creator><creator>Li, Yan</creator><creator>Zhang, Chenguang</creator><creator>Li, Yaguang</creator><creator>Sun, Mengyue</creator><creator>Wu, Yalan</creator><creator>Li, Shujing</creator><creator>Zhang, Yingqi</creator><general>Lippincott Williams & Wilkins</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>20230421</creationdate><title>Peripheral interstitial lung abnormalities on LDCT in an asymptomatic, nonsmoking Chinese urban cohort</title><author>Gao, Zhimei ; Li, Xin ; Li, Yan ; Zhang, Chenguang ; Li, Yaguang ; Sun, Mengyue ; Wu, Yalan ; Li, Shujing ; Zhang, Yingqi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4012-68d9795f56c8a847f3d7cdd9f91246b985aa27d97902f4ae224ba6f78519983b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aging - physiology</topic><topic>China</topic><topic>East Asian People</topic><topic>Female</topic><topic>Humans</topic><topic>Lung - diagnostic imaging</topic><topic>Lung - physiopathology</topic><topic>Lung Diseases, Interstitial - diagnostic imaging</topic><topic>Lung Diseases, Interstitial - physiopathology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Observational Study</topic><topic>Retrospective Studies</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Urban Population</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gao, Zhimei</creatorcontrib><creatorcontrib>Li, Xin</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Zhang, Chenguang</creatorcontrib><creatorcontrib>Li, Yaguang</creatorcontrib><creatorcontrib>Sun, Mengyue</creatorcontrib><creatorcontrib>Wu, Yalan</creatorcontrib><creatorcontrib>Li, Shujing</creatorcontrib><creatorcontrib>Zhang, Yingqi</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>Gao, Zhimei</au><au>Li, Xin</au><au>Li, Yan</au><au>Zhang, Chenguang</au><au>Li, Yaguang</au><au>Sun, Mengyue</au><au>Wu, Yalan</au><au>Li, Shujing</au><au>Zhang, Yingqi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Peripheral interstitial lung abnormalities on LDCT in an asymptomatic, nonsmoking Chinese urban cohort</atitle><jtitle>Medicine (Baltimore)</jtitle><addtitle>Medicine (Baltimore)</addtitle><date>2023-04-21</date><risdate>2023</risdate><volume>102</volume><issue>16</issue><spage>e33630</spage><epage>e33630</epage><pages>e33630-e33630</pages><issn>0025-7974</issn><eissn>1536-5964</eissn><abstract>To retrospectively investigate the imaging features and the related influencing factors of peripheral interstitial lung abnormalities (PILA) that caused “normal aging” by low-dose computed tomography (LDCT) in an nonsmoking, asymptomatic Chinese urban cohort. The clinical data of 733 subjects who underwent chest LDCT were retrospectively collected. The computed tomography (CT) signs of PILA (interlobular septal thickening [ILST], intralobular interstitial thickening [ILIT], ground-glass opacity [GGO], reticular shadow [RS], subpleural line [SL]) were evaluated at 6 levels and statistically analyzed. The effects of age, sex, body mass index (BMI), blood pressure (BP), and blood biochemistry parameters on ILST, ILIT, and RS were analyzed by Binary Logistic regression analysis. Significant age differences in PILA were found. None of the 5 PILA CT signs (GGO, ILST, ILIT, RS, and SL) was observed in subjects under 40 years old, while in subjects over 40 years old, the incidence of PILA increased with age. All 5 CT signs of PILA were significantly different among the subjects aged 18 to 49, 50 to 69, and 70 to 79 (P < .05). There was no significant sex difference in PILA. Among age, sex, BMI, BP, and laboratory biochemistry parameters, only age had a significant effect on ILST, ILIT, and RS. LDCT can be used as a noninvasive method to evaluate the PILA. PILA were mainly affected by age, while sex, BMI, BP, and laboratory biochemistry parameters had little effect on PILA. PILA observed before the age of 40 years should be considered an abnormal finding, whereas it is common in individuals over 70.</abstract><cop>United States</cop><pub>Lippincott Williams & Wilkins</pub><pmid>37083763</pmid><doi>10.1097/MD.0000000000033630</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Age Factors Aged Aging - physiology China East Asian People Female Humans Lung - diagnostic imaging Lung - physiopathology Lung Diseases, Interstitial - diagnostic imaging Lung Diseases, Interstitial - physiopathology Male Middle Aged Observational Study Retrospective Studies Tomography, X-Ray Computed - methods Urban Population Young Adult |
| title | Peripheral interstitial lung abnormalities on LDCT in an asymptomatic, nonsmoking Chinese urban cohort |
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