Comparison of objective criteria and expert visual interpretation to classify benign and malignant hilar and mediastinal nodes on 18-F FDG PET/CT

Background and objective There is widespread adoption of FDG‐PET/CT 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...

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Published in:Respirology (Carlton, Vic.) Vol. 20; no. 1; pp. 129 - 137
Main Authors: Nguyen, Phan, Bhatt, Manoj, Bashirzadeh, Farzad, Hundloe, Justin, Ware, Robert, Fielding, David, Ravi Kumar, Aravind S.
Format: Journal Article
Language:English
Published: Australia Blackwell Publishing Ltd 01-01-2015
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Summary:Background and objective There is widespread adoption of FDG‐PET/CT 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 (EBUS‐TBNA) results as gold standard, we evaluated objective FDG‐PET/CT criteria for interpreting mediastinal and hilar nodes and compared this to expert visual interpretation (EVI). Methods A retrospective review of all patients with lung cancer who had both FDG‐PET/CT and EBUS‐TBNA 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 FDG‐PET/CT criteria were SUVmax lymph node (SUVmaxLN), ratio SUVmaxLN/SUVmax primary lung malignancy, ratio SUVmaxLN/SUVaverage liver, ratio SUVmaxLN/SUVmax liver and ratio SUVmaxLN/SUVmax blood pool. A nuclear medicine physician reviewed all scans and classified nodal stations as benign or malignant. Results Eighty‐seven malignant lymph nodes and 41 benign nodes were in the prediction set. All objective FDG‐PET/CT criteria analysed were significantly higher in the malignant group (P < 0.0001). EVI correctly classified 122/128 nodes (95.3%). Thirty‐four malignant nodes and 19 benign nodes were in the validation set. The new proposed cut‐off 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. EVI had 91% accuracy: 33/34 (97.1%) malignant nodes and 15/19 (79.0%) benign nodes. Conclusions Objective analysis of 18‐F FDG PET/CT can differentiate between malignant and benign nodes but is not superior to EVI. FDG PET/CT is widely used for lung cancer mediastinal staging. Objective criteria for FDG PET/CT scan analysis have various published thresholds that are not well validated. We derived and validated objective criteria from patients at our institution and compared their performance with EVI. EBUS results were used as gold standard.
Bibliography:Australian Lung Foundation
Cancer Council of Queensland Australia
istex:7487E03D4254831C304F0F8FC8EE95308DF7A1D1
The Royal Brisbane and Women's Hospital Foundation
ArticleID:RESP12409
ark:/67375/WNG-GFB741S7-G
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1323-7799
1440-1843
DOI:10.1111/resp.12409