From Adult Renal Masses to Pediatric Wilms Tumors: Evaluating Cross-Domain Generalization of Kidney Lesion Segmentation on MRI

Key points

• Whether models trained on adult renal lesions generalize to pediatric Wilms tumors remains unclear.1
• We trained a segmentation model on single-sequence T1- or T2-weighted adult kidney MRI and evaluated it on a held-out adult test set and a pediatric Wilms tumor cohort, where it was compared with a pediatric-specific nnU-Net.1
• Segmentation performance was quantified using the Dice similarity coefficient (DSC) and 95th-percentile Hausdorff distance.1
• Despite differences in age, anatomy, and tumor type, the adult-trained model showed promising performance on pediatric Wilms tumors, with only a modest difference in median DSC compared with the pediatric-specific model.1

Sources (1)

• [1]From Adult Renal Masses to Pediatric Wilms Tumors: Evaluating Cross-Domain Generalization of Kidney Lesion Segmentation on MRI
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 02:52 PM

  Deep learning segmentation models for pediatric oncology are often trained on small, single-center cohorts, whereas much larger datasets exist for adult diseases, such as kidney cancer.

  Whether models trained on adult renal lesions generalize to pediatric Wilms tumors remains unclear.

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