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article, google, scholar, pubmed, pancreatic, features, cancer, analysis, radiomic, reproducibility, radiomics, imaging, texture, study, radiology, chakraborty, tumor, cas, feature, images, image, central, information, research, contrastenhanced, ductal, tomography, cect, threshold, scenario, access, pattern, radiol, httpsdoiorgs, httpsdoiorg, york, privacy, cookies, content, data, segmentation, parenchyma, patients, computed, scans, oncol, measures, springer, publish, search,

Topics {✒️}

radiation-induced parotid-gland injury month download article/chapter inter-observer delineation variability hipaa-compliant retrospective study pancreatic-derived radiomic features contrast-enhanced ct imaging pancreatic tumor-derived features pancreatic parenchyma-derived features test-retest reproducibility analysis institutional review board full article pdf related subjects run-length matrices european economic area pancreatic ductal adenocarcinoma radiomic feature reproducibility dodds research award privacy choices/manage cookies concordance correlation coefficient advanced feature analysis contrast-enhanced ct pancreatic cancer based quantitative radiomic analysis assess feature reproducibility neck cancer radiotherapy abdominal radiology wylie pancreatic cancer patients ct texture analysis radiomic research reference image database test-retest data local binary patterns quantitative radiomics approach deciphering tumor phenotype reproducible radiomic features clinical heterogeneous dataset decoding tumour phenotype pastor-juan mdr peng-yeng yin juliana brooke schilsky short-term reproducibility house radiomics software check access instant access pattern recognition applications computer-aided diagnosis quantitative features extracted mcnitt-gray mf ethics declarations guarantor ct-based radiomics

Questions {❓}

• Summers RM (2017) Texture analysis in radiology: does the emperor have no clothes?
• Van Timmeren JE, Leijenaar RTH, van Elmpt W et al (2016) Test-retest data for radiomics feature stability analysis: generalizable or study-specific?

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         headline:Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation
         description:This study aims to measure the reproducibility of radiomic features in pancreatic parenchyma and ductal adenocarcinomas (PDAC) in patients who underwent consecutive contrast-enhanced computed tomography (CECT) scans. In this IRB-approved and HIPAA-compliant retrospective study, 37 pairs of scans from 37 unique patients who underwent CECTs within a 2-week interval were included in the analysis of the reproducibility of features derived from pancreatic parenchyma, and a subset of 18 pairs of scans were further analyzed for the reproducibility of features derived from PDAC. In each patient, pancreatic parenchyma and pancreatic tumor (when present) were manually segmented by two radiologists independently. A total of 266 radiomic features were extracted from the pancreatic parenchyma and tumor region and also the volume and diameter of the tumor. The concordance correlation coefficient (CCC) was calculated to assess feature reproducibility for each patient in three scenarios: (1) different radiologists, same CECT; (2) same radiologist, different CECTs; and (3) different radiologists, different CECTs. Among pancreatic parenchyma-derived features, using a threshold of CCC > 0.90, 58/266 (21.8%) and 48/266 (18.1%) features met the threshold for scenario 1, 14/266 (5.3%) and 15/266 (5.6%) for scenario 2, and 14/266 (5.3%) and 10/266 (3.8%) for scenario 3. Among pancreatic tumor-derived features, 11/268 (4.1%) and 17/268 (6.3%) features met the threshold for scenario 1, 1/268 (0.4%) and 5/268 (1.9%) features met the threshold for scenario 2, and no features for scenario 3 met the threshold, respectively. Variations between CECT scans affected radiomic feature reproducibility to a greater extent than variation in segmentation. A smaller number of pancreatic tumor-derived radiomic features were reproducible compared with pancreatic parenchyma-derived radiomic features under the same conditions. • For pancreatic-derived radiomic features from contrast-enhanced CT (CECT), fewer than 25% are reproducible (with a threshold of CCC < 0.9) in a clinical heterogeneous dataset. • Variations between CECT scans affected the number of reproducible radiomic features to a greater extent than variations in radiologist segmentation. • A smaller number of pancreatic tumor-derived radiomic features were reproducible compared with pancreatic parenchyma-derived radiomic features under the same conditions.
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         Pancreatic ductal carcinoma
         X-ray computed tomography
         Radiomics
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         Interventional Radiology
         Neuroradiology
         Ultrasound
         Internal Medicine
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