Characterizing Lung-RADS category 4 lesions in a university lung cancer screening program
To assess the prevalence of lung cancer in Lung-RADS category 4 patients, and to elucidate if clinical or imaging features help differentiate benign lesions from lung cancer. A retrospective review of lung cancer screening (LCS) studies at a single university screening program between January 2018 a...
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Veröffentlicht in: | Lung cancer (Amsterdam, Netherlands) Netherlands), 2023-12, Vol.186, p.107420-107420, Article 107420 |
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creator | Kocher Wulfeck, Madison Plesner, Samuel Herndon, 2nd, James E Christensen, Jared D Patz, Jr, Edward F |
description | To assess the prevalence of lung cancer in Lung-RADS category 4 patients, and to elucidate if clinical or imaging features help differentiate benign lesions from lung cancer.
A retrospective review of lung cancer screening (LCS) studies at a single university screening program between January 2018 and December 2021 identified all patients with Lung-RADS category 4 lesions. Patient demographics, symptoms within the prior 6 months, and imaging features were recorded.
During the defined period, 4819 baseline and annual LCS exams were performed; 7.6 % (n = 368) of exams had category 4 nodules and 59 (1.2 %) patients had biopsy-proven lung cancer. Distribution of Lung-RADS category 4 lesions and lung cancer diagnosis were as follows: 4A - 223 nodules, 6.3 % malignant; 4B - 114 nodules, 20.2 % malignant; and 4X - 31 nodules, 71.0 % malignant. Symptoms were reported in 9.0 % (n = 20) of category 4A (2 were malignant), 15.8 % (n = 18) category 4B (1 was malignant) and 22.6 % (n = 7) category 4X (5 were malignant). Imaging features associated with malignancy included endobronchial obstruction with distal atelectasis, pleural tethering, irregular shape, cavitation, and heterogeneous cystic appearance. Twenty-four nodules increased in size, however, only 7 were biopsy proven. Relative to the risk seen with 4A disease, multivariable logistic analyses showed that the odds of a malignancy increased significantly by 3.8 fold (95 % CI: 1.9, 7.9) and 39.2 fold (95 % CI: 14.9, 103.0) with 4B and 4X disease, respectively (p |
doi_str_mv | 10.1016/j.lungcan.2023.107420 |
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A retrospective review of lung cancer screening (LCS) studies at a single university screening program between January 2018 and December 2021 identified all patients with Lung-RADS category 4 lesions. Patient demographics, symptoms within the prior 6 months, and imaging features were recorded.
During the defined period, 4819 baseline and annual LCS exams were performed; 7.6 % (n = 368) of exams had category 4 nodules and 59 (1.2 %) patients had biopsy-proven lung cancer. Distribution of Lung-RADS category 4 lesions and lung cancer diagnosis were as follows: 4A - 223 nodules, 6.3 % malignant; 4B - 114 nodules, 20.2 % malignant; and 4X - 31 nodules, 71.0 % malignant. Symptoms were reported in 9.0 % (n = 20) of category 4A (2 were malignant), 15.8 % (n = 18) category 4B (1 was malignant) and 22.6 % (n = 7) category 4X (5 were malignant). Imaging features associated with malignancy included endobronchial obstruction with distal atelectasis, pleural tethering, irregular shape, cavitation, and heterogeneous cystic appearance. Twenty-four nodules increased in size, however, only 7 were biopsy proven. Relative to the risk seen with 4A disease, multivariable logistic analyses showed that the odds of a malignancy increased significantly by 3.8 fold (95 % CI: 1.9, 7.9) and 39.2 fold (95 % CI: 14.9, 103.0) with 4B and 4X disease, respectively (p < 0.0001). A separate analysis involving only category 4A and 4B patients jointly showed that disease category (OR = 3.0; 95 % CI: 1.5, 6.4) and additional imaging features (OR = 3.2; 95 % CI: 1.4, 7.0) were significant predictors of malignancy. The presence of clinical symptoms was not statistically associated with lung cancer.
Lung-RADS 4 nodules were found in 7.6% of LCS examinations and 16% of these nodules were lung cancer. The probability of lung cancer increases from category 4A to 4X, and imaging features may help differentiate benign from malignant nodules in this LCS category.</description><identifier>ISSN: 0169-5002</identifier><identifier>EISSN: 1872-8332</identifier><identifier>DOI: 10.1016/j.lungcan.2023.107420</identifier><identifier>PMID: 37956610</identifier><language>eng</language><publisher>Ireland</publisher><subject>Early Detection of Cancer - methods ; Humans ; Lung - diagnostic imaging ; Lung - pathology ; Lung Neoplasms - diagnostic imaging ; Lung Neoplasms - epidemiology ; Retrospective Studies ; Tomography, X-Ray Computed - methods ; Universities</subject><ispartof>Lung cancer (Amsterdam, Netherlands), 2023-12, Vol.186, p.107420-107420, Article 107420</ispartof><rights>Copyright © 2023 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c257t-d496308d31ab3b65f0e42dd85c666a90c50337d656c572c006534dac66d6c87c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37956610$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kocher Wulfeck, Madison</creatorcontrib><creatorcontrib>Plesner, Samuel</creatorcontrib><creatorcontrib>Herndon, 2nd, James E</creatorcontrib><creatorcontrib>Christensen, Jared D</creatorcontrib><creatorcontrib>Patz, Jr, Edward F</creatorcontrib><title>Characterizing Lung-RADS category 4 lesions in a university lung cancer screening program</title><title>Lung cancer (Amsterdam, Netherlands)</title><addtitle>Lung Cancer</addtitle><description>To assess the prevalence of lung cancer in Lung-RADS category 4 patients, and to elucidate if clinical or imaging features help differentiate benign lesions from lung cancer.
A retrospective review of lung cancer screening (LCS) studies at a single university screening program between January 2018 and December 2021 identified all patients with Lung-RADS category 4 lesions. Patient demographics, symptoms within the prior 6 months, and imaging features were recorded.
During the defined period, 4819 baseline and annual LCS exams were performed; 7.6 % (n = 368) of exams had category 4 nodules and 59 (1.2 %) patients had biopsy-proven lung cancer. Distribution of Lung-RADS category 4 lesions and lung cancer diagnosis were as follows: 4A - 223 nodules, 6.3 % malignant; 4B - 114 nodules, 20.2 % malignant; and 4X - 31 nodules, 71.0 % malignant. Symptoms were reported in 9.0 % (n = 20) of category 4A (2 were malignant), 15.8 % (n = 18) category 4B (1 was malignant) and 22.6 % (n = 7) category 4X (5 were malignant). Imaging features associated with malignancy included endobronchial obstruction with distal atelectasis, pleural tethering, irregular shape, cavitation, and heterogeneous cystic appearance. Twenty-four nodules increased in size, however, only 7 were biopsy proven. Relative to the risk seen with 4A disease, multivariable logistic analyses showed that the odds of a malignancy increased significantly by 3.8 fold (95 % CI: 1.9, 7.9) and 39.2 fold (95 % CI: 14.9, 103.0) with 4B and 4X disease, respectively (p < 0.0001). A separate analysis involving only category 4A and 4B patients jointly showed that disease category (OR = 3.0; 95 % CI: 1.5, 6.4) and additional imaging features (OR = 3.2; 95 % CI: 1.4, 7.0) were significant predictors of malignancy. The presence of clinical symptoms was not statistically associated with lung cancer.
Lung-RADS 4 nodules were found in 7.6% of LCS examinations and 16% of these nodules were lung cancer. The probability of lung cancer increases from category 4A to 4X, and imaging features may help differentiate benign from malignant nodules in this LCS category.</description><subject>Early Detection of Cancer - methods</subject><subject>Humans</subject><subject>Lung - diagnostic imaging</subject><subject>Lung - pathology</subject><subject>Lung Neoplasms - diagnostic imaging</subject><subject>Lung Neoplasms - epidemiology</subject><subject>Retrospective Studies</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Universities</subject><issn>0169-5002</issn><issn>1872-8332</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kEtLAzEQx4MotlY_gpKjl62TZJNsjqU-oSD4OHgKaZKuW7bZmuwK9dO7S6ungZn_Y_ghdElgSoCIm_W07kJpTZhSoKzfyZzCERqTQtKsYIweo3GvUxkHoCN0ltIagEgC6hSNmFRcCAJj9DH_NNHY1sfqpwolXvSh2cvs9hVb0_qyiTuc49qnqgkJVwEb3IXq28dUtTs8fNDrgvURJxu9D0PENjZlNJtzdLIydfIXhzlB7_d3b_PHbPH88DSfLTJLuWwzlyvBoHCMmCVbCr4Cn1PnCm6FEEaB5cCYdIILyyW1AIKz3Jn-6oQtpGUTdL3P7Xu_Op9avamS9XVtgm-6pGlRKKUK1jOZIL6X2tikFP1Kb2O1MXGnCeiBql7rA1U9UNV7qr3v6lDRLTfe_bv-MLJfkql1Qg</recordid><startdate>202312</startdate><enddate>202312</enddate><creator>Kocher Wulfeck, Madison</creator><creator>Plesner, Samuel</creator><creator>Herndon, 2nd, James E</creator><creator>Christensen, Jared D</creator><creator>Patz, Jr, Edward F</creator><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></search><sort><creationdate>202312</creationdate><title>Characterizing Lung-RADS category 4 lesions in a university lung cancer screening program</title><author>Kocher Wulfeck, Madison ; Plesner, Samuel ; Herndon, 2nd, James E ; Christensen, Jared D ; Patz, Jr, Edward F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c257t-d496308d31ab3b65f0e42dd85c666a90c50337d656c572c006534dac66d6c87c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Early Detection of Cancer - methods</topic><topic>Humans</topic><topic>Lung - diagnostic imaging</topic><topic>Lung - pathology</topic><topic>Lung Neoplasms - diagnostic imaging</topic><topic>Lung Neoplasms - epidemiology</topic><topic>Retrospective Studies</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Universities</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kocher Wulfeck, Madison</creatorcontrib><creatorcontrib>Plesner, Samuel</creatorcontrib><creatorcontrib>Herndon, 2nd, James E</creatorcontrib><creatorcontrib>Christensen, Jared D</creatorcontrib><creatorcontrib>Patz, Jr, Edward F</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><jtitle>Lung cancer (Amsterdam, Netherlands)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kocher Wulfeck, Madison</au><au>Plesner, Samuel</au><au>Herndon, 2nd, James E</au><au>Christensen, Jared D</au><au>Patz, Jr, Edward F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterizing Lung-RADS category 4 lesions in a university lung cancer screening program</atitle><jtitle>Lung cancer (Amsterdam, Netherlands)</jtitle><addtitle>Lung Cancer</addtitle><date>2023-12</date><risdate>2023</risdate><volume>186</volume><spage>107420</spage><epage>107420</epage><pages>107420-107420</pages><artnum>107420</artnum><issn>0169-5002</issn><eissn>1872-8332</eissn><abstract>To assess the prevalence of lung cancer in Lung-RADS category 4 patients, and to elucidate if clinical or imaging features help differentiate benign lesions from lung cancer.
A retrospective review of lung cancer screening (LCS) studies at a single university screening program between January 2018 and December 2021 identified all patients with Lung-RADS category 4 lesions. Patient demographics, symptoms within the prior 6 months, and imaging features were recorded.
During the defined period, 4819 baseline and annual LCS exams were performed; 7.6 % (n = 368) of exams had category 4 nodules and 59 (1.2 %) patients had biopsy-proven lung cancer. Distribution of Lung-RADS category 4 lesions and lung cancer diagnosis were as follows: 4A - 223 nodules, 6.3 % malignant; 4B - 114 nodules, 20.2 % malignant; and 4X - 31 nodules, 71.0 % malignant. Symptoms were reported in 9.0 % (n = 20) of category 4A (2 were malignant), 15.8 % (n = 18) category 4B (1 was malignant) and 22.6 % (n = 7) category 4X (5 were malignant). Imaging features associated with malignancy included endobronchial obstruction with distal atelectasis, pleural tethering, irregular shape, cavitation, and heterogeneous cystic appearance. Twenty-four nodules increased in size, however, only 7 were biopsy proven. Relative to the risk seen with 4A disease, multivariable logistic analyses showed that the odds of a malignancy increased significantly by 3.8 fold (95 % CI: 1.9, 7.9) and 39.2 fold (95 % CI: 14.9, 103.0) with 4B and 4X disease, respectively (p < 0.0001). A separate analysis involving only category 4A and 4B patients jointly showed that disease category (OR = 3.0; 95 % CI: 1.5, 6.4) and additional imaging features (OR = 3.2; 95 % CI: 1.4, 7.0) were significant predictors of malignancy. The presence of clinical symptoms was not statistically associated with lung cancer.
Lung-RADS 4 nodules were found in 7.6% of LCS examinations and 16% of these nodules were lung cancer. The probability of lung cancer increases from category 4A to 4X, and imaging features may help differentiate benign from malignant nodules in this LCS category.</abstract><cop>Ireland</cop><pmid>37956610</pmid><doi>10.1016/j.lungcan.2023.107420</doi><tpages>1</tpages></addata></record> |
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subjects | Early Detection of Cancer - methods Humans Lung - diagnostic imaging Lung - pathology Lung Neoplasms - diagnostic imaging Lung Neoplasms - epidemiology Retrospective Studies Tomography, X-Ray Computed - methods Universities |
title | Characterizing Lung-RADS category 4 lesions in a university lung cancer screening program |
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