1. Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation
- Author
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Thomas Perrin, Mithat Gonen, Peter J. Allen, Maura A Koszalka, Natally Horvat, Abhishek Midya, Richard K. G. Do, Amber L. Simpson, Jayasree Chakraborty, William R. Jarnagin, Rikiya Yamashita, and Joanne F. Chou
- Subjects
Adult ,Male ,medicine.medical_specialty ,media_common.quotation_subject ,Contrast Media ,Adenocarcinoma ,Article ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Pancreatic tumor ,Medicine ,Contrast (vision) ,Humans ,Radiology, Nuclear Medicine and imaging ,Parenchymal Tissue ,Neuroradiology ,media_common ,Retrospective Studies ,Reproducibility ,business.industry ,Ultrasound ,Reproducibility of Results ,General Medicine ,Middle Aged ,medicine.disease ,Pancreatic Neoplasms ,Concordance correlation coefficient ,medicine.anatomical_structure ,Feature (computer vision) ,030220 oncology & carcinogenesis ,Female ,Radiology ,business ,Pancreas ,Tomography, X-Ray Computed ,Algorithms ,Carcinoma, Pancreatic Ductal - Abstract
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
- Published
- 2019