Explore Data
Explore key services that support clinicians and researchers in discovering and accessing EuCanImage data through dedicated subsections
EuCanImage Imaging Catalogue
Below we provide a brief overview of the datasets: for more details, we recommend to visit the EuCanImage Catalogue.
Test for EuCanImage Pilot integration in the imaging catalogue. Liver cancer case with MRI and RTSTRUCT images and non-imaging data.
Body Parts:
- Liver
Imaging Modalities:
- MRI
- RTSTRUCT
The Erasmus Glioma Database (EGD) contains structural magnetic resonance imaging (MRI) scans, genetic and histological features (specifying the WHO 2016 subtype), and whole tumor segmentations of patients with glioma.
Body Parts:
- Brain
Imaging Modalities:
- MRI
Data from this Biobank can be used to investigate AI solutions to increase the diagnostic sensitivity of liver MRI (currently at 60%) for detecting small hepatocellular carcinoma lesions (less than 20mm) in cirrhotic liver, while keeping the specificity high.
Body Parts:
- Abdomen
- Liver
Imaging Modalities:
- MRI
- RTSTRUCT
Body Parts:
- Abdomen
- Liver
Imaging Modalities:
- MRI
Body Parts:
- Abdomen
- Liver
Imaging Modalities:
- MRI
Body Parts:
- Abdomen
- Liver
- Pelvis
Imaging Modalities:
- MRI
Data from this Biobank can be used to investigate AI solutions to identify colorectal liver metastases (CRLM) in colorectal cancer from pre- and post-operative contrasted enhanced CT. Data from this Biobank can also be used to investigate AI solutions to improve the classification of LI-RADS intermediate liver lesions based on multiphasic and non-contrast enhanced CT images. Data from this Biobank can also be used to improve the classification of LI-RADS intermediate liver lesions (LR-2 to LR-4) based on contrasted and non-contrast enhanced CT images.
Body Parts:
- Abdomen
- Chest
Imaging Modalities:
- CT
Body Parts:
- Abdomen
- Liver
Imaging Modalities:
- CT
Body Parts:
- Abdomen
- Colon
Imaging Modalities:
- CT
Body Parts:
- Abdomen
- Liver
- Pelvis
Imaging Modalities:
- CT
Data from this Biobank can be used to investigate AI solutions to identify mesorectal lymph node metastases in pelvic MRI. Data from this Biobank can also be used to investigate AI solutions to predict the level of response to neoadjuvant radio(chemo) therapy (complete response, partial response or no response) based on primary MRI in rectal cancer for local staging and restaging.
Body Parts:
- Abdomen
- Liver
- Pelvis
Imaging Modalities:
- MRI
Body Parts:
- Abdomen
- Pelvis
Imaging Modalities:
- MRI
Body Parts:
- Abdomen
- Pelvis
Imaging Modalities:
- MRI
Body Parts:
- Abdomen
- Pelvis
Imaging Modalities:
- MRI
Data from this Biobank can be used to investigate AI solutions to improve the assessment of screening mammograms by automatically differentiating benign from malignant tumours. Data from this Biobank can also be used to investigate AI solutions to distinguish five molecular subtypes of invasive ductal breast carcinoma on mammography images. The five subtypes are: Luminal A, Luminal B (human epidermal growth factor receptor 2 (HER2) positive or negative), HER2 positive, and triple negative.
Body Parts:
- Breast
Imaging Modalities:
- Mammography
Body Parts:
- Breast
Imaging Modalities:
- Mammography
Body Parts:
- Breast
Imaging Modalities:
- Mammography
Body Parts:
- Breast
Imaging Modalities:
- Mammography
Body Parts:
- Breast
Imaging Modalities:
- Mammography
Data from this Biobank can be used to investigate AI solutions that leverages breast baseline MRI data at diagnosis to identify the patients who are highly likely to achieve a pathological complete response (pCR), and so, implement de-escalating strategies in neoadjuvant systemic therapy (NST).
Body Parts:
- Breast
Imaging Modalities:
- MRI
Body Parts:
- Breast
Imaging Modalities:
- MRI
Body Parts:
- Breast
Imaging Modalities:
- MRI
Body Parts:
- Breast
Imaging Modalities:
- MRI
Body Parts:
- Breast
Imaging Modalities:
- MRI
Body Parts:
- Breast
Imaging Modalities:
- MRI
- RTSTRUCT
The WORC database consists in total of 930 patients composed of six datasets gathered at the Erasmus MC, consisting of patients with: 1) well-differentiated liposarcoma or lipoma (115 patients); 2) desmoid-type fibromatosis or extremity soft-tissue sarcomas (203 patients); 3) primary solid liver tumors, either malignant (hepatocellular carcinoma or intrahepatic cholangiocarcinoma) or benign (hepatocellular adenoma or focal nodular hyperplasia) (186 patients); 4) gastrointestinal stromal tumors (GISTs) and intra-abdominal gastrointestinal tumors radiologically resembling GISTs (246 patients); 5) colorectal liver metastases (77 patients); 6) lung metastases of metastatic melanoma (103 patients).
Body Parts:
- Liver
Imaging Modalities:
- CT
Body Parts:
- Entire body
Imaging Modalities:
- MRI
Body Parts:
- Abdomen
Imaging Modalities:
- CT
Body Parts:
- Entire body
Imaging Modalities:
- MRI
Body Parts:
- Lung
Imaging Modalities:
- CT
Body Parts:
- Liver
Imaging Modalities:
- MRI
Data Repositories
Well-established European data infrastructures are used for long-term archive of the cancer imaging, -omics and health data collections that are being curated, annotated and harmonized in the consortium.
BioImage Archive
Explore EuCanImage datasets
Large-scale multi-cancer, multi-centre and multi-modal image repository.- Co-managed by Erasmus Medical Centre (EMC)
Data Collection Summary
Table 1: Preliminary list of annotated cancer imaging datasets for the initial phase of EuCanImage platform implementation and testing, totalling 5,641 cases.
| Anatomy | Disease | N of patients | Modality | Partner | Country | Status |
|---|---|---|---|---|---|---|
| Breast | Breast cancer | 197 | MG | EMC | NL | Finalized, Paper in writing |
| Brain | Low-grade glioma | 774 | MRI | EMC | NL | Published1 |
| Extremities | Lipoma and liposarcoma | 116 | MRI | EMC | NL | Published2 |
| Extremities | Desmoid-type fibromatosis and similar extremity sarcoma | 203 | MRI | EMC | NL | Published2 |
| Gastrointestinal | GISTs and intra-abdominal gastrointestinal tumours resembling GISTs | 246 | CT | EMC | NL | Published2 |
| Liver | Primary solid liver tumours (e.g. HCC) | 186 | MRI | EMC | NL | Published2 |
| Liver | Colorectal liver metastases | 77 | CT | EMC | NL | Published2 |
| Lung | Melanoma lung metastases | 103 | CT | EMC | NL | Published2 |
| Breast | Breast cancer | 2964 | MG | UB / Parc Taulí | ES | Finalized, paper in writing |
Data Access
The EuCanImage Data Sharing Agreement is currently in the finalization stages, after which a streamlined data access protocol will become available. At the moment, we recommend you to contact the specific PIs for each dataset to gain access, which information can be found in the EuCanImage catalogue.