{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T15:23:01Z","timestamp":1761578581496},"reference-count":30,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2014,9,28]],"date-time":"2014-09-28T00:00:00Z","timestamp":1411862400000},"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":[[2015,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background and objective<\/jats:title><jats:p>There is widespread adoption of <jats:styled-content style=\"fixed-case\">FDG<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">PET\/CT<\/jats:styled-content> in staging of lung cancer, but no universally accepted criteria for classifying thoracic nodes as malignant. Previous studies show high negative predictive values, but reporting criteria and positive predictive values varies. Using Endobronchial ultrasound transbronchial needle aspiration (<jats:styled-content style=\"fixed-case\">EBUS<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">TBNA<\/jats:styled-content>) results as gold standard, we evaluated objective <jats:styled-content style=\"fixed-case\">FDG<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">PET\/CT<\/jats:styled-content> criteria for interpreting mediastinal and hilar nodes and compared this to expert visual interpretation (<jats:styled-content style=\"fixed-case\">EVI<\/jats:styled-content>).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A retrospective review of all patients with lung cancer who had both <jats:styled-content style=\"fixed-case\">FDG<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">PET\/CT<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">EBUS<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">TBNA<\/jats:styled-content> from 2008 to 2010 was performed. Scan interpretation was blinded to histology. Patients from 2008\/2009 were used for the prediction set. The validation set analysed patients from 2010. Objective <jats:styled-content style=\"fixed-case\">FDG<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">PET\/CT<\/jats:styled-content> criteria were <jats:styled-content style=\"fixed-case\">SUV<\/jats:styled-content>max lymph node (<jats:styled-content style=\"fixed-case\">SUVmaxLN<\/jats:styled-content>), ratio <jats:styled-content style=\"fixed-case\">SUVmaxLN<\/jats:styled-content>\/<jats:styled-content style=\"fixed-case\">SUV<\/jats:styled-content>max primary lung malignancy, ratio <jats:styled-content style=\"fixed-case\">SUV<\/jats:styled-content>max<jats:styled-content style=\"fixed-case\">LN\/SUV<\/jats:styled-content>average liver, ratio <jats:styled-content style=\"fixed-case\">SUVmaxLN\/SUVmax<\/jats:styled-content> liver and ratio <jats:styled-content style=\"fixed-case\">SUVmaxLN<\/jats:styled-content>\/<jats:styled-content style=\"fixed-case\">SUVmax<\/jats:styled-content> blood pool. A nuclear medicine physician reviewed all scans and classified nodal stations as benign or malignant.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Eighty\u2010seven malignant lymph nodes and 41 benign nodes were in the prediction set. All objective <jats:styled-content style=\"fixed-case\">FDG<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">PET\/CT<\/jats:styled-content> criteria analysed were significantly higher in the malignant group (P &lt; 0.0001). <jats:styled-content style=\"fixed-case\">EVI<\/jats:styled-content> correctly classified 122\/128 nodes (95.3%). Thirty\u2010four malignant nodes and 19 benign nodes were in the validation set. The new proposed cut\u2010off values of the objective criteria from the prediction set correctly classified 44\/53 (83.0%) nodes: 28\/34 (82.4%) malignant nodes and 16\/19 (84.2%) benign nodes. <jats:styled-content style=\"fixed-case\">EVI<\/jats:styled-content> had 91% accuracy: 33\/34 (97.1%) malignant nodes and 15\/19 (79.0%) benign nodes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Objective analysis of 18\u2010<jats:styled-content style=\"fixed-case\">F FDG PET\/CT<\/jats:styled-content> can differentiate between malignant and benign nodes but is not superior to <jats:styled-content style=\"fixed-case\">EVI<\/jats:styled-content>.<\/jats:p><\/jats:sec>","DOI":"10.1111\/resp.12409","type":"journal-article","created":{"date-parts":[[2014,9,29]],"date-time":"2014-09-29T04:16:40Z","timestamp":1411964200000},"page":"129-137","source":"Crossref","is-referenced-by-count":20,"title":["Comparison of objective criteria and expert visual interpretation to classify benign and malignant hilar and mediastinal nodes on 18\u2010<scp>F FDG PET<\/scp>\/<scp>CT<\/scp>"],"prefix":"10.1111","volume":"20","author":[{"given":"Phan","family":"Nguyen","sequence":"first","affiliation":[{"name":"Department of Thoracic Medicine The Royal Brisbane and Women's Hospital  Herston Queensland Australia"},{"name":"School of Medicine Faculty of Health Sciences University of Queensland  St Lucia Queensland Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manoj","family":"Bhatt","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine and Specialised PET Services Queensland The Royal Brisbane and Women's Hospital  Herston Queensland Australia"},{"name":"School of Medicine Faculty of Health Sciences University of Queensland  St Lucia Queensland Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Farzad","family":"Bashirzadeh","sequence":"additional","affiliation":[{"name":"Department of 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Queensland Australia"},{"name":"School of Medicine Faculty of Health Sciences University of Queensland  St Lucia Queensland Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aravind S.","family":"Ravi Kumar","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine and Specialised PET Services Queensland The Royal Brisbane and Women's Hospital  Herston Queensland Australia"},{"name":"School of Medicine Faculty of Health Sciences University of Queensland  St Lucia Queensland 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