Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation Journal Article


Authors: Yamashita, R.; Perrin, T.; Chakraborty, J.; Chou, J. F.; Horvat, N.; Koszalka, M. A.; Midya, A.; Gonen, M.; Allen, P.; Jarnagin, W. R.; Simpson, A. L.; Do, R. K. G.
Article Title: Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation
Abstract: Objectives: 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. Methods: 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. Results: 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. Conclusions: 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. Key Points: • 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. © 2019, European Society of Radiology.
Keywords: adult; clinical article; aged; reproducibility of results; computer assisted tomography; retrospective study; correlation coefficient; radiologist; contrast enhancement; pancreas adenocarcinoma; parameters; image segmentation; pancreatic ductal carcinoma; texture analysis; human; male; female; priority journal; article; x-ray computed tomography; radiomics; pancreatic parenchyma and ductal adenocarcinoma
Journal Title: European Radiology
Volume: 30
Issue: 1
ISSN: 0938-7994
Publisher: Springer  
Date Published: 2020-01-01
Start Page: 195
End Page: 205
Language: English
DOI: 10.1007/s00330-019-06381-8
PUBMED: 31392481
PROVIDER: scopus
PMCID: PMC7127865
DOI/URL:
Notes: Article -- Source: Scopus
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MSK Authors
  1. Joanne Fu-Lou Chou
    331 Chou
  2. Mithat Gonen
    1028 Gonen
  3. Peter Allen
    501 Allen
  4. William R Jarnagin
    903 Jarnagin
  5. Kinh Gian Do
    256 Do
  6. Amber L Simpson
    64 Simpson
  7. Natally Horvat
    101 Horvat
  8. Abhishek Midya
    17 Midya
  9. Thomas Perrin
    2 Perrin