Annals of Thoracic Medicine Official publication of the Saudi Thoracic Society, affiliated to King Saud University
 
Search Ahead of print Current Issue Archives Instructions Subscribe e-Alerts Login 
Home Email this article link Print this article Bookmark this page Decrease font size Default font size Increase font size
ORIGINAL ARTICLE
Year : 2017  |  Volume : 12  |  Issue : 2  |  Page : 95-100

Systematic analysis of measurement variability in lung cancer with multidetector computed tomography


1 Department of Radiology, Sir Run Run Hospital Affiliated with Nanjing Medical University, Nanjing, China
2 Department of Radiology, BenQ Medical Center, Nanjing Medical University, Nanjing, China
3 Department of Cell Biology, Collaborative Innovation Center for Cancer Personalized Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Key Laboratory of Human Functional Genomics of Jiangsu Province, Nanjing Medical University, Nanjing, China

Correspondence Address:
Jichen Wang
Department of Radiology, BenQ Medical Center, Nanjing Medical University, No.71, Hexi Street, Jianye District, 210019, Nanjing
China
Yujie Sun
Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, No.101, Longmian Avenue, Jiangning District, 211166, Nanjing
China
Login to access the Email id


DOI: 10.4103/1817-1737.203750

PMID: 28469719

Rights and Permissions

Objective: To systematically analyze the nature of measurement variability in lung cancer with multidetector computed tomography (CT) scans. Methods: Multidetector CT scans of 67 lung cancer patients were analyzed. Unidimensional (Response Evaluation Criteria in Solid Tumor criteria), bidimensional (World Health Organization criteria), and volumetric measurements were performed independently by ten radiologists and were repeated after at least 5 months. Repeatability and reproducibility measurement variations were estimated by analyzing reliability, agreement, variation coefficient, and misclassification statistically. The relationship of measurement variability with various sources was also analyzed. Results: Analyses of 69 lung tumors with an average size of 1.1–12.1 cm (mean 4.3 cm) indicated that volumetric technique had the minimum measurement variability compared to the unidimensional or bidimensional technique. Tumor characteristics (object effect) could be the primary factor to influence measurement variability while the effect of raters (subjective effect) was faint. Segmentation and size in tumor characteristics were associated with measurement variability, and some mathematical function was established between the volumetric variability and tumor size. Conclusion: Volumetric technique has the minimum variability in measuring lung cancer, and measurement variability is associated with tumor size by nonlinear mathematical function.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed1494    
    Printed26    
    Emailed0    
    PDF Downloaded172    
    Comments [Add]    

Recommend this journal