🔄 The UNICORN Challenge re-opens / accepts submissions until the end of the year. If you update or submit your solutions before the end of November, your results will also be included in the official UNICORN Challenge paper.
T6: Detecting Clinically Significant Cancer in Prostate MRI Exams¶
Objective:
Detect clinically significant prostate cancer (csPCa) lesions using 3D prostate MRI scans. Clinically significant prostate cancer is defined as lesions with an ISUP score ≥ 2.
Patient Population:
- Patients suspected of having clinically significant prostate cancer (e.g., elevated PSA or abnormal DRE findings).
- No prior prostate-specific treatments.
- No previous diagnosis of ISUP ≥ 2 cancer.
Imaging Data:
- Axial T2-weighted (T2W) MRI
- Axial high b-value diffusion-weighted imaging (DWI, b ≥ 1000 s/mm²)
- Axial apparent diffusion coefficient (ADC) maps
Test Data:
- 1000 cases, from three Dutch centers and one Norwegian center.
- Scans acquired using Siemens or Philips MRI scanners.
Reference Standard:
- Positive cases: Confirmed histopathological evidence (ISUP ≥ 2).
- Negative cases: ISUP ≤ 1 or MRI PI-RADS ≤ 2, supported by ≥ 3 years of clinical follow-up.
- Voxel-level annotations created using ITK-SNAP v3.80 by trained investigators or a radiology resident, supervised by expert radiologists.
- All annotations underwent rigorous quality control at the coordinating center (RUMC).
Evaluation Metrics:
Performance is assessed using the unweighted average of:
- Area Under the Receiver Operator Characteristic Curve (AUROC)
- Area Under the Precision-Recall Curve (AP)
Relation to Existing Challenges:¶
- Task 6 is adapted from the PI-CAI challenge.
- Validation and test datasets mirror those used in PI-CAI but omit clinical parameters and coronal/sagittal T2 images.
- PI-CAI aimed to train task-specific models ("narrow AI") on large, partially labeled datasets, whereas UNICORN emphasizes adaptation through few-shot learning on the challenge platform.