Current state of radiomic research in pancreatic cancer: focusing on study design and reproducibility of findings
Creators
- 1. Department of Cancer Imaging, The Peter MacCallum Cancer Centre, Melbourne, VIC (Australia)
- 2. Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC (Australia)
- 3. Department of Biostatistics, Northern Health, Epping, VIC (Australia)
- 4. Department of Medical Oncology, Melbourne Health, Melbourne, VIC (Australia)
- 5. Department of Medical Oncology, Western Health, Melbourne, VIC (Australia)
- 6. Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC (Australia)
- 7. Department of Medical Oncology, Northern Health, Epping, VIC (Australia)
- 8. Department of Medical Oncology, The Peter MacCallum Cancer Centre, Melbourne, VIC (Australia)
- 9. Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn (Germany)
- 10. The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC (Australia)
Description
To critically appraise methodology and reproducibility of published studies on CT radiomics of pancreatic ductal adenocarcinoma (PDAC). PRISMA literature search of MEDLINE, PubMed, and Scopus databases was conducted from June to August 2022 relating to CT radiomics human research articles pertaining to PDAC diagnosis, treatment, and/ or prognosis, utilising Image Biomarker Standardisation Initiative-compliant (IBSI) radiomic software. Keyword search included [pancreas OR pancreatic] AND [radiomic OR [quantitative AND imaging] OR [texture AND analysis]]. Analysis included cohort size, CT protocol used, radiomic feature (RF) extraction, segmentation, and selection, software used, outcome correlation, and statistical methodology, with focus on reproducibility. Initial search yielded 1112 articles; however, only 12 articles met all inclusion/exclusion criteria. Cohort sizes ranged from 37 to 352 (median = 106, mean = 155.8). CT slice thickness varied among studies (4 using ≤ 1 mm, 5 using > 1 to 3 mm, 2 using > 3 to 5 mm, 1 not specifying). CT protocol varied (5 using a single portal-venous (pv)-phase, 5 using a pancreas protocol, 1 study using a non-contrast protocol). RF extraction and segmentation were heterogeneous (RF extraction: 5 using pv-phase, 2 using late arterial, 4 using multi-phase, 1 using non-contrast phase; RF selection: 3 pre-selected, 9 software-selected). 2D/3D RF segmentation was diverse (2D in 6, 3D in 4, 2D and 3D in 2 studies). Six different radiomics software were used. Research questions and cohort characteristics varied, ultimately leading to non-comparable outcome results. The current twelve published IBSI-compliant PDAC radiomic studies show high variability and often incomplete methodology resulting in low robustness and reproducibility. Radiomics research requires IBSI compliance, data harmonisation, and reproducible feature extraction methods for non-invasive imaging biomarker discoveries to be valid. This will ensure a successful clinical implementation and ultimately an improvement of patient outcomes as part of precision and personalised medicine. Current state of radiomics research in pancreatic cancer shows low software compliance to the Image Biomarker Standardisation Initiative (IBSI). IBSI-compliant radiomics studies in pancreatic cancer are heterogeneous and not comparable, and the majority of study designs showed low reproducibility. Improved methodology and standardisation of practice in the emerging field of radiomics has the potential of this non-invasive imaging biomarker in the management of pancreatic cancer.
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00330-023-09653-6Additional details
Identifiers
Publishing Information
- Journal Title
- European Radiology (Internet)
- Journal Volume
- 33
- Journal Issue
- 10
- Journal Page Range
- p. 6659-6669
- ISSN
- 1432-1084
- CODEN
- EURAE3
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 54124292
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ACCURACY; ALGORITHMS; BIOLOGICAL MARKERS; CARCINOMAS; COMPARATIVE EVALUATIONS; COMPUTER CODES; COMPUTERIZED TOMOGRAPHY; CORRELATIONS; DATA COMPILATION; DIAGNOSIS; IMAGE PROCESSING; PANCREAS; RADIOMICS; STANDARDIZATION
- Descriptors DEC
- BODY; DATA; DATA PROCESSING; DIAGNOSTIC TECHNIQUES; DIGESTIVE SYSTEM; DISEASES; ENDOCRINE GLANDS; EVALUATION; GLANDS; INFORMATION; MATHEMATICAL LOGIC; MEDICINE; NEOPLASMS; NUCLEAR MEDICINE; ORGANS; PROCESSING; RADIOLOGY; TOMOGRAPHY