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Standardized visual reading of F18-FDG-PET in patients with non-small cell lung cancer scheduled for preoperative thoracic lymph node staging.
- Source :
-
European journal of radiology [Eur J Radiol] 2016 Aug; Vol. 85 (8), pp. 1345-50. Date of Electronic Publication: 2016 May 11. - Publication Year :
- 2016
-
Abstract
- Objectives: Routine visual assessment of positron emission tomography (PET) for thoracic lymph node (LN) staging in patients with non-small cell lung cancer (NSCLC) is limited by a lack of reliable assessment criteria. This study evaluates the accuracy and inter-rater agreement of a standardized approach with unified windowing and a PET-based visual score.<br />Materials and Methods: This retrospective analysis included pretherapeutic FDG-PET data of 86 patients with NSCLC. After standardized windowing (threshold: 2×liver SUVmean) the LN uptake was assessed visually by three independent readers with varying levels of experience using a 4-step score (1, LN uptake≤mediastinal blood pool structures (MBPS); 2, MBPS<LN<liver; 3, liver≤LN<'black'; 4, LN appears 'black'). ROC analyses and respective areas under the curve (AUC) based on histology/cytology as standard of reference. Agreement was analyzed with Cohen's kappa (κ, pairwise) and Fleiss' κ (overall). Subgroup analyses separated between hilar vs. mediastinal LNs, adenocarcinoma vs. squamous cell carcinoma and grading G1/2 vs. G3/4.<br />Results: Fifty-four of the 278LNs (19.4%) were malignant (optimal cut-off to differentiate benign vs. malignant, score >3). The inexperienced (n=1), advanced (n=1), and expert readers (n=1) achieved similar accuracies of 93.5%, 91.4% and 92.1%, respectively (P>0.05 each). Cohen's κ ranged from 0.92 to 0.96 and Fleiss' κ was 0.93. ROC-analyses showed no significant differences between attendant readers within any subgroup (AUC, 0.92-0.96).<br />Conclusion: Applying unified windowing, the introduced PET-score achieved highly accurate and robust LN assessment. This approach may shorten learning curves of inexperienced readers, facilitate multicenter trials, and improve comparability of future studies.<br /> (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)
- Subjects :
- Adenocarcinoma diagnostic imaging
Adenocarcinoma pathology
Adult
Aged
Aged, 80 and over
Carcinoma, Non-Small-Cell Lung pathology
Carcinoma, Squamous Cell diagnostic imaging
Carcinoma, Squamous Cell pathology
Female
Humans
Image Processing, Computer-Assisted statistics & numerical data
Liver diagnostic imaging
Liver pathology
Lung Neoplasms pathology
Lymph Nodes pathology
Lymphatic Metastasis pathology
Male
Mediastinum diagnostic imaging
Mediastinum pathology
Middle Aged
Neoplasm Grading
Neoplasm Staging
Observer Variation
Retrospective Studies
Sensitivity and Specificity
Carcinoma, Non-Small-Cell Lung diagnostic imaging
Fluorodeoxyglucose F18
Lung Neoplasms diagnostic imaging
Lymph Nodes diagnostic imaging
Lymphatic Metastasis diagnostic imaging
Positron Emission Tomography Computed Tomography statistics & numerical data
Radiopharmaceuticals
Subjects
Details
- Language :
- English
- ISSN :
- 1872-7727
- Volume :
- 85
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- European journal of radiology
- Publication Type :
- Academic Journal
- Accession number :
- 27423672
- Full Text :
- https://doi.org/10.1016/j.ejrad.2016.05.004