Instance details

Property Value
Applicability Criteria Patients with resectable PDAC of the pancreatic head
Applicability Criteria Patients diagnosed with pancreatic cancer
Applicability Criteria Exclude patients with ASA classification V
Applicability Criteria Exclude patients with New York Heart Association class IV
Applicability Criteria Exclude patients with chronic obstructive pulmonary disease (COPD) requiring (home)oxygen therapy and administration of neoadjuvant treatment
Applicability Criteria CT-scans of patients include the abdominal wall
Applicability Criteria Interval between the time of the patient's scan and surgery needs to be smaller than 3 months
Name Identifying radiomics signatures in body composition imaging for the prediction of outcome following pancreatic cancer resection
Additional concerns The authors acknowledge the limitations of the study, mentioning the small sample size and the potential for overfitting due to the large number of candidate image features used in the analysis.
Based on template https://repo.metadatacenter.org/templates/c1252f26-9075-4934-a8ee-51695b0b892d
Creation date 2023-08-10
Email g.vanderkroft@maastrichtuniversity.nl
Out-of-scope use cases Not provided
Description Model Card implementation in CEDAR forms
Model Input American Society of Anesthesiologists physical status classification
Model Input Body composition
Model Input Age at Surgery
Model Input Body Mass Index
Created on 2023-12-07T05:36:41-08:00
License Creative Commons
Primary intended use Predict survival of pancreatic ductal adenocarcinoma (PDAC) patients undergoing primary resection
Created by G. van der Kroft
Outcome Overall Survival
Reference https://doi.org/10.3389/fonc.2023.1062937
Primary intended users Pancreatic ductal adenocarcinoma (PDAC) patients undergoing primary resection
Title Identifying radiomics signatures in body composition imaging for the prediction of outcome following pancreatic cancer resection
Created by https://metadatacenter.org/users/0428302b-d7f9-45ff-a4ff-a27f62df6fb6
Modified by https://metadatacenter.org/users/0428302b-d7f9-45ff-a4ff-a27f62df6fb6
Foundational model or algorithm used Clinical (C-Score), body composition (B-Score), and radiomics (R-Score) model
Last updated on 2023-12-07T05:37:38-08:00
Ethical considerations - Data Ethical approval was obtained prior to this study from the local medical ethical board.