| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| modality: |
| - CT |
| language: [] |
| tags: |
| - medical-imaging |
| - liver-tumor-segmentation |
| - hepatocellular-carcinoma |
| - HCC |
| - multiphase-CT |
| - TACE |
| - abdominal-CT |
| pretty_name: WAW-TACE |
| size_categories: |
| - n<1K |
| dataset_info: |
| features: |
| - name: sample_id |
| dtype: string |
| - name: patient_id |
| dtype: int32 |
| - name: phase |
| dtype: int32 |
| - name: phase_name |
| dtype: string |
| - name: num_slices |
| dtype: int32 |
| - name: num_tumors |
| dtype: int32 |
| - name: ct_middle_slice |
| dtype: image |
| - name: tumor_mask_middle_slice |
| dtype: image |
| - name: tumor_overlay_middle_slice |
| dtype: image |
| splits: |
| - name: train |
| num_bytes: 230428765 |
| num_examples: 854 |
| download_size: 230443173 |
| dataset_size: 230428765 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # WAW-TACE — Warsaw TACE HCC Multiphase CT Dataset |
|
|
| A multiphase abdominal CT dataset of 233 treatment-naive hepatocellular |
| carcinoma (HCC) patients receiving trans-arterial chemo-embolization (TACE) |
| monotherapy at the Medical University of Warsaw, with 377 hand-crafted liver |
| tumor masks plus auto-generated whole-abdomen organ masks, radiomics |
| features, and clinical outcomes. |
|
|
| ## Dataset Summary |
|
|
| | Field | Details | |
| |---|---| |
| | Modality | Multiphase abdominal CT (NIfTI) | |
| | Body Part | Liver (HCC tumors) + 104 abdominal organ VOIs | |
| | Subjects | 233 treatment-naive HCC patients (TACE monotherapy) | |
| | CT volumes | 854 (precontrast=200, arterial=230, portal_venous=231, delayed=193) | |
| | Tumor masks | 378 hand-crafted, expert-validated (gold) | |
| | Organ masks | 854 TotalSegmentator-generated, no manual review (silver) | |
| | License | CC-BY-4.0 | |
| | Source | https://zenodo.org/records/12741586 | |
| |
| ## Phases |
| |
| CT and mask filenames encode the phase as an integer suffix: |
| |
| | ID | Phase | |
| |---|---| |
| | 0 | Precontrast / native | |
| | 1 | Late arterial | |
| | 2 | Portal venous | |
| | 3 | Delayed | |
| |
| Not every patient has every phase. See `metadata/ct_hcc_metadata_v2.csv` for |
| per-patient phase availability. |
|
|
| ## Data Structure |
|
|
| ``` |
| WAW-TACE/ |
| ├── README.md |
| ├── images/ |
| │ └── {patient_id}_{phase}.nii.gz # 854 CT volumes |
| ├── tumor_masks/ |
| │ └── {patient_id}_{phase}_{tumor_idx}.nrrd # 378 hand-crafted tumor masks |
| ├── organ_masks/ |
| │ └── {patient_id}_{phase}.nii.gz # 854 TotalSegmentator masks (104 VOIs) |
| └── metadata/ |
| ├── clinical_data_wawtace_v2_15_07_2024.xlsx |
| ├── ct_hcc_metadata_v2.csv |
| ├── radiomics_data_wawtace_09_05_2024.xlsx |
| └── supplementary_table_s1_definitions_v2.xlsx |
| ``` |
|
|
| `{tumor_idx}` indexes multiple tumors annotated on the same CT (e.g. patient |
| 102, phase 1 has six tumor masks: `102_1_0.nrrd` … `102_1_5.nrrd`). Each tumor |
| mask is a binary 3D NRRD aligned to the corresponding `images/{patient}_{phase}.nii.gz`. |
|
|
| ## Mask Provenance — Recommended Ground Truth |
|
|
| **Tumor masks (gold).** TotalSegmentator produced initial tumor guesses; |
| the primary radiologist (K.B., 6 yrs experience, 2 yrs in segmentation) |
| manually corrected each in 3D Slicer; two senior radiologists |
| (K.K. — 14 yrs, K.L. — 11 yrs in TACE/abdominal radiology) independently |
| validated and modified the corrections; final 3 mm Gaussian smoothing was |
| applied. Use these for tumor segmentation benchmarks. |
|
|
| **Organ masks (silver).** 104 abdominal VOIs (liver, spleen, kidneys, etc.) |
| produced per CT phase by TotalSegmentator (nnU-Net pretrained). The original |
| paper extracted radiomics features from these *uncorrected* masks. Treat as |
| weak / auxiliary labels, not gold. |
|
|
| ## Splits |
|
|
| The released dataset has **no official train/val/test split**. All 233 |
| patients form a single pool — define your own split downstream. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{bartnik2024wawtace, |
| title = {WAW-TACE: A Hepatocellular Carcinoma Multiphase CT Dataset |
| with Segmentations, Radiomics Features, and Clinical Data}, |
| author = {Bartnik, Krzysztof and Bartczak, Tomasz and Krzyzi{\'n}ski, Mateusz |
| and Korzeniowski, Krzysztof and Lamparski, Krzysztof and W{\k{e}}grzyn, Piotr |
| and Lam, Eric and Bartkowiak, Magdalena and Wr{\'o}blewski, Tadeusz |
| and Mech, Krzysztof and Januszewicz, Magdalena and Biecek, Przemys{\l}aw}, |
| journal = {Radiology: Artificial Intelligence}, |
| year = {2024}, |
| doi = {10.1148/ryai.240296}, |
| pmid = {39441110} |
| } |
| ``` |
|
|
| ## Sources |
|
|
| - Zenodo: https://zenodo.org/records/12741586 |
| - Paper: https://pubs.rsna.org/doi/full/10.1148/ryai.240296 |
| - PMC: https://pmc.ncbi.nlm.nih.gov/articles/PMC11605144/ |
|
|
