{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T22:41:37Z","timestamp":1762641697596},"reference-count":15,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2015,1,8]],"date-time":"2015-01-08T00:00:00Z","timestamp":1420675200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Respirology"],"published-print":{"date-parts":[[2015,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background and objective<\/jats:title><jats:p>Recent data suggest that grey\u2010scale textural analysis on endobronchial ultrasound (<jats:styled-content style=\"fixed-case\">EBUS<\/jats:styled-content>) imaging can differentiate benign from malignant lymphadenopathy. The objective of studies was to evaluate grey\u2010scale textural analysis and examine its clinical utility.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Images from 135 consecutive clinically indicated <jats:styled-content style=\"fixed-case\">EBUS<\/jats:styled-content> procedures were evaluated retrospectively using <jats:styled-content style=\"fixed-case\">MATLAB<\/jats:styled-content> software (<jats:styled-content style=\"fixed-case\">M<\/jats:styled-content>ath<jats:styled-content style=\"fixed-case\">W<\/jats:styled-content>orks, Natick, <jats:styled-content style=\"fixed-case\">M<\/jats:styled-content>A, <jats:styled-content style=\"fixed-case\">USA<\/jats:styled-content>). Manual node mapping was performed to obtain a region of interest and grey\u2010scale textural features (range of pixel values and entropy) were analysed. The initial analysis involved 94 subjects and receiver operating characteristic (<jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>) curves were generated. The <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content> thresholds were then applied on a second cohort (41 subjects) to validate the earlier findings.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 371 images were evaluated. There was no difference in proportions of malignant disease (56% vs 53%, <jats:italic>P<\/jats:italic>\u2009=\u20090.66) in the prediction (group 1) and validation (group 2) sets. There was no difference in range of pixel values in group 1 but entropy was significantly higher in the malignant group (5.95 vs 5.77, <jats:italic>P<\/jats:italic>\u2009=\u20090.03). Higher entropy was seen in adenocarcinoma versus lymphoma (6.00 vs 5.50, <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.05). An <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content> curve for entropy gave an area under the curve of 0.58 with 51% sensitivity and 71% specificity for entropy greater than 5.94 for malignancy. In group 2, the entropy threshold phenotyped only 47% of benign cases and 20% of malignant cases correctly.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>These findings suggest that use of <jats:styled-content style=\"fixed-case\">EBUS<\/jats:styled-content> grey\u2010scale textural analysis for differentiation of malignant from benign lymphadenopathy may not be accurate. Further studies are required.<\/jats:p><\/jats:sec>","DOI":"10.1111\/resp.12467","type":"journal-article","created":{"date-parts":[[2015,1,8]],"date-time":"2015-01-08T07:47:10Z","timestamp":1420703230000},"page":"453-458","source":"Crossref","is-referenced-by-count":12,"title":["Differentiating benign from malignant mediastinal lymph nodes visible at <scp>EBUS<\/scp> using grey\u2010scale textural analysis"],"prefix":"10.1111","volume":"20","author":[{"given":"Anthony J.","family":"Edey","sequence":"first","affiliation":[{"name":"Department of Radiology Southmead Hospital North Bristol NHS Trust  Bristol UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adrian","family":"Pollentine","sequence":"additional","affiliation":[{"name":"Department of Radiology Southmead Hospital North Bristol NHS Trust  Bristol UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claire","family":"Doody","sequence":"additional","affiliation":[{"name":"Department of Medical Physics Southmead Hospital North Bristol NHS Trust  Bristol UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew R.L.","family":"Medford","sequence":"additional","affiliation":[{"name":"North Bristol Lung Centre and University of Bristol Southmead Hospital North Bristol NHS Trust  Bristol UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2015,1,8]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.2174\/1574887111308010009"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1742-1241.2010.02454.x"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2008.11.043"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1159\/000363063"},{"key":"e_1_2_6_6_1","first-page":"561","article-title":"Multivariate feature analysis of sonographic findings of metastatic cervical lymph nodes: contribution of blood flow features revealed by power Doppler sonography for predicting metastasis","volume":"21","author":"Chikui T","year":"2000","journal-title":"AJNR Am. 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