Table 1 CheckList for EvaluAtion of Radiomics research (CLEAR checklist)
Section | No | Item | Yes | No | n/a | Page |
|---|---|---|---|---|---|---|
Title | ||||||
1 | Relevant title, specifying the radiomic methodology | ☐ | ☐ | ☐ | ||
Abstract | ||||||
2 | Structured summary with relevant information | ☐ | ☐ | ☐ | ||
Keywords | ||||||
3 | Relevant keywords for radiomics | ☐ | ☐ | ☐ | ||
Introduction | ||||||
4 | Scientific or clinical background | ☐ | ☐ | ☐ | ||
5 | Rationale for using a radiomic approach | ☐ | ☐ | ☐ | ||
6 | Study objective(s) | ☐ | ☐ | ☐ | ||
Method | ||||||
Study Design | 7 | Adherence to guidelines or checklists (e.g., CLEAR checklist) | ☐ | ☐ | ☐ | |
8 | Ethical details (e.g., approval, consent, data protection) | ☐ | ☐ | ☐ | ||
9 | Sample size calculation | ☐ | ☐ | ☐ | ||
10 | Study nature (e.g., retrospective, prospective) | ☐ | ☐ | ☐ | ||
11 | Eligibility criteria | ☐ | ☐ | ☐ | ||
12 | Flowchart for technical pipeline | ☐ | ☐ | ☐ | ||
Data | 13 | Data source (e.g., private, public) | ☐ | ☐ | ☐ | |
14 | Data overlap | ☐ | ☐ | ☐ | ||
15 | Data split methodology | ☐ | ☐ | ☐ | ||
16 | Imaging protocol (i.e., image acquisition and processing) | ☐ | ☐ | ☐ | ||
17 | Definition of non-radiomic predictor variables | ☐ | ☐ | ☐ | ||
18 | Definition of the reference standard (i.e., outcome variable) | ☐ | ☐ | ☐ | ||
Segmentation | 19 | Segmentation strategy | ☐ | ☐ | ☐ | |
20 | Details of operators performing segmentation | ☐ | ☐ | ☐ | ||
Pre-processing | 21 | Image pre-processing details | ☐ | ☐ | ☐ | |
22 | Resampling method and its parameters | ☐ | ☐ | ☐ | ||
23 | Discretization method and its parameters | ☐ | ☐ | ☐ | ||
24 | Image types (e.g., original, filtered, transformed) | ☐ | ☐ | ☐ | ||
Feature extraction | 25 | Feature extraction method | ☐ | ☐ | ☐ | |
26 | Feature classes | ☐ | ☐ | ☐ | ||
27 | Number of features | ☐ | ☐ | ☐ | ||
28 | Default configuration statement for remaining parameters | ☐ | ☐ | ☐ | ||
Data preparation | 29 | Handling of missing data | ☐ | ☐ | ☐ | |
30 | Details of class imbalance | ☐ | ☐ | ☐ | ||
31 | Details of segmentation reliability analysis | ☐ | ☐ | ☐ | ||
32 | Feature scaling details (e.g., normalization, standardization) | ☐ | ☐ | ☐ | ||
33 | Dimension reduction details | ☐ | ☐ | ☐ | ||
Modeling | 34 | Algorithm details | ☐ | ☐ | ☐ | |
35 | Training and tuning details | ☐ | ☐ | ☐ | ||
36 | Handling of confounders | ☐ | ☐ | ☐ | ||
37 | Model selection strategy | ☐ | ☐ | ☐ | ||
Evaluation | 38 | Testing technique (e.g., internal, external) | ☐ | ☐ | ☐ | |
39 | Performance metrics and rationale for choosing | ☐ | ☐ | ☐ | ||
40 | Uncertainty evaluation and measures (e.g., confidence intervals) | ☐ | ☐ | ☐ | ||
41 | Statistical performance comparison (e.g., DeLong's test) | ☐ | ☐ | ☐ | ||
42 | Comparison with non-radiomic and combined methods | ☐ | ☐ | ☐ | ||
43 | Interpretability and explainability methods | ☐ | ☐ | ☐ | ||
Results | ||||||
44 | Baseline demographic and clinical characteristics | ☐ | ☐ | ☐ | ||
45 | Flowchart for eligibility criteria | ☐ | ☐ | ☐ | ||
46 | Feature statistics (e.g., reproducibility, feature selection) | ☐ | ☐ | ☐ | ||
47 | Model performance evaluation | ☐ | ☐ | ☐ | ||
48 | Comparison with non-radiomic and combined approaches | ☐ | ☐ | ☐ | ||
Discussion | ||||||
49 | Overview of important findings | ☐ | ☐ | ☐ | ||
50 | Previous works with differences from the current study | ☐ | ☐ | ☐ | ||
51 | Practical implications | ☐ | ☐ | ☐ | ||
52 | Strengths and limitations (e.g., bias and generalizability issues) | ☐ | ☐ | ☐ | ||
Open Science | ||||||
Data availability | 53 | Sharing images along with segmentation data [n/e] | ☐ | ☐ | ☐ | |
54 | Sharing radiomic feature data | ☐ | ☐ | ☐ | ||
Code availability | 55 | Sharing pre-processing scripts or settings | ☐ | ☐ | ☐ | |
56 | Sharing source code for modeling | ☐ | ☐ | ☐ | ||
Model availability | 57 | Sharing final model files | ☐ | ☐ | ☐ | |
58 | Sharing a ready-to-use system [n/e] | ☐ | ☐ | ☐ |