ArticlePloS one2017
Quantitative Computed Tomography Features for Predicting Tumor Recurrence in Patients with Surgically Resected Adenocarcinoma of the Lung.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Repeatability and Reproducibility of Radiomic Features: A Systematic Review.International journal of radiation oncology, biology, physics · 2018Pooled it
- Quantitative CT analysis in lung cancer research: a bibliometric analysis based on Web of Science [2005-2025].Journal of thoracic disease · 2026Article
- Proapoptotic and proautophagy effect of H1-receptor antagonist desloratadine in human glioblastoma cell lines.Medical oncology (Northwood, London, England) · 2023Article
- Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review.Quantitative imaging in medicine and surgery · 2021Review
- Pre-treatment CT imaging in stage IIIA lung cancer: Can we predict local recurrence after definitive chemoradiotherapy?Clinical imaging · 2021Article
- Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy.World journal of gastroenterology · 2020Article
- Improving the diagnosis of common parotid tumors via the combination of CT image biomarkers and clinical parameters.BMC medical imaging · 2020Article
- A Preliminary Study of CT Texture Analysis for Characterizing Epithelial Tumors of the Parotid Gland.Cancer management and research · 2020Article
- Are shape morphologies associated with survival? A potential shape-based biomarker predicting survival in lung cancer.Journal of cancer research and clinical oncology · 2019Article
- Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2019Article
- CT Enhancement and 3D Texture Analysis of Pancreatic Neuroendocrine Neoplasms.Scientific reports · 2019Article
- CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis.BMC medical imaging · 2017Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe purpose of this study was to determine if preoperative quantitative computed tomography (CT) features including texture and histogram analysis measurements are associated with tumor recurrence in patients with surgically resected adenocarcinoma of the lung.
methodsThe study included 194 patients with surgically resected lung adenocarcinoma who underwent preoperative CT between January 2013 and December 2013. Quantitative CT feature analysis of the lung adenocarcinomas were performed using in-house software based on plug-in package for ImageJ. Ten quantitative features demonstrating the tumor size, attenuation, shape and texture were extracted. The CT parameters obtained from 1-mm and 5-mm data were compared using intraclass correlation coefficients. Univariate and multivariable logistic regression methods were used to investigate the association between tumor recurrence and preoperative CT findings.
resultsThe 1-mm and 5-mm data were highly correlated in terms of diameter, perimeter, area, mean attenuation and entropy. Circularity and aspect ratio were moderately correlated. However, skewness and kurtosis were poorly correlated. Multivariable logistic regression analysis revealed that area (odds ratio [OR], 1.002 for each 1-mm2 increase; P = 0.003) and mean attenuation (OR, 1.005 for each 1.0-Hounsfield unit increase; P = 0.022) were independently associated with recurrence. The receiver operating curves using these two independent predictive factors showed high diagnostic performance in predicting recurrence (C-index = 0.81, respectively).
conclusionTumor area and mean attenuation are independently associated with recurrence in patients with surgically resected adenocarcinoma of the lung.
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