3D Printed Kidney Models Help Students Read Renal Tumor Scans

Holding a kidney tumor before surgery

Medical students at Bordeaux University Hospital in France are learning to read kidney tumor scans using 3D-printed and virtual models. A new pilot study shows the approach works better than CT images alone.

The researchers selected three real patient cases with low, intermediate, and high tumor complexity. They segmented the CT scans, printed physical models on a Stratasys J750, and built interactive virtual versions. Both models went through accuracy checks by senior radiologists and urologists before students touched them.

Twenty-three fifth-year students were split into three groups. One group used only CT scans. Another used CT scans plus an interactive 3D virtual model. The third group had physical 3D-printed models alongside the scans.

The results were clear. Students with 3D models scored a median of 91 percent on tumor complexity assessments, compared to 73 percent for the CT-only group. They also finished faster: the CT-only group averaged 11 minutes, the virtual model group 9.4 minutes, and the printed model group just 7.1 minutes. Total scores combining anatomy and complexity questions jumped from roughly 62 percent with CT alone to 81-83 percent with 3D tools.

Here is the twist: there was no significant difference between the virtual and printed groups. The students are digital natives, so a screen-based 3D model delivered the same spatial learning as a physical object. Printed models cost 150 to 500 dollars each, while virtual models are essentially free to replicate after the initial segmentation work.

The study is small, with only three cases and 23 students. The authors call for larger trials across multiple organs and disciplines. But the implication is straightforward: medical schools could upgrade radiology training with 3D tools at very low marginal cost, and students seem to prefer it.