Trial reportCancer imaging : the official publication of the International Cancer Imaging Society2012
Assessing the effect of CT slice interval on unidimensional, bidimensional and volumetric measurements of solid tumours.
Trial report in Cancer imaging : the official publication of the International Cancer Imaging Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed.
- Significance of Image Reconstruction Parameters for Future Lung Cancer Risk Prediction Using Low-Dose Chest Computed Tomography and the Open-Access Sybil Algorithm.Investigative radiology · 2025Article
- Enhancing Super-Resolution Network Efficacy in CT Imaging: Cost-Effective Simulation of Training Data.IEEE open journal of engineering in medicine and biology · 2025Article
- A Novel Tissue-Free Method to Estimate Tumor-Derived Cell-Free DNA Quantity Using Tumor Methylation Patterns.Cancers · 2023Article
- Effect of CT image acquisition parameters on diagnostic performance of radiomics in predicting malignancy of pulmonary nodules of different sizes.European radiology · 2022Article
- Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans.European journal of cancer (Oxford, England : 1990) · 2021Article
- A Combined-Radiomics Approach of CT Images to Predict Response to Anti-PD-1 Immunotherapy in NSCLC: A Retrospective Multicenter Study.Frontiers in oncology · 2021Article
- Understanding Sources of Variation to Improve the Reproducibility of Radiomics.Frontiers in oncology · 2021Review
- A review on radiomics and the future of theranostics for patient selection in precision medicine.The British journal of radiology · 2018Review
- Volumetry of low-contrast liver lesions with CT: Investigation of estimation uncertainties in a phantom study.Medical physics · 2016Article
- Effects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of radiomics signature in solitary pulmonary nodule.Scientific reports · 2016Article
- Reproducibility of radiomics for deciphering tumor phenotype with imaging.Scientific reports · 2016Article
- Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings.PloS one · 2016Article
- Changes in liver and spleen volumes after living liver donation: a report from the Adult-to-Adult Living Donor Liver Transplantation Cohort Study (A2ALL).Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2015Observational
- Variability in assessing treatment response: metastatic colorectal cancer as a paradigm.Clinical cancer research : an official journal of the American Association for Cancer Research · 2014Article
- Clinical evaluation of semi-automatic landmark-based lesion tracking software for CT-scans.Cancer imaging : the official publication of the International Cancer Imaging Society · 2014Article
- Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.Translational oncology · 2014Article
- The imaging viewpoint: how imaging affects determination of progression-free survival.Clinical cancer research : an official journal of the American Association for Cancer Research · 2013Article
- A Practical Method for Slice Spacing Measurement Using the American Association of Physicists in Medicine Computed Tomography Performance Phantom.Journal of medical physicsArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectivesTo study the magnitude of differences in tumour unidimensional (1D), bidimensional (2D) and volumetric (VOL) measurements determined from computed tomography (CT) images reconstructed at 5, 2.5 and 1.25 mm slice intervals. MATERIALS AND
methodsA total of 118 lesions in lung, liver and lymph nodes were selected from 30 patients enrolled in early phase clinical trials. Each CT scan was reconstructed at 5, 2.5 and 1.25 mm slice intervals during the image acquisition. Lesions were semi-automatically segmented on each interval image series and supervised by a radiologist. 1D, 2D and VOL were computed based on the final segmentation results. Average measurement differences across different slice intervals were obtained using linear mixed-effects analysis of variance models.
resultsLesion diameters ranged from 6.1 to 80.1 mm (median 18.4 mm). The largest difference was seen between 1.25 and 5 mm (mean difference of 7.6% for 1D [P < 0.0001], 13.1% for 2D [P < 0.0001], -5.7% for VOL [P = 0.0001]). Mean differences between 1.25 and 2.5 mm were all within ±3.5% (within ±6% confidence interval). For VOL, there was a larger average difference between measurements on different slice intervals for the smaller lesions (<10 mm) compared with the larger lesions.
conclusionsDifferent slice intervals may give different 1D, 2D and VOL measurements. In clinical practice, it would be prudent to use the same slice interval for consecutive measurements.
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