ReXGroundingCT

ReXGroundingCT is a large-scale 3D chest CT dataset linking free-text radiology findings to pixel-level segmentations in volumetric imaging. It comprises 3,142 non-contrast chest CT scans with 8,028 annotated findings (16,301 entities) from the CT-RATE dataset. ReXGroundingCT enables sentence-level grounding for both focal and non-focal lung and pleural abnormalities across 14 categories. This archived leaderboard reports results on the original 100-case v1 test set, which has exhaustive radiologist annotations for all visible findings. These results are not comparable to the current leaderboard, which uses the 300-case test set.

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Global Dice: Average Dice per finding per case

Global HIT Rate: Proportion of findings that have Dice >= 0.1

Instance Precision: TP / (TP + FP), where True Positives are instances that have a Dice >= 0.2

Instance Recall: TP / (TP + FN)

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Model	Global Dice	Global HIT Rate	Instance Precision	Instance Recall	Instance F1
DAGG Gachon University 2/23/2026	0.253	0.517	0.211	0.299	0.247
VoxTell German Cancer Research Center (DKFZ) Heidelberg University 3/24/2026	0.285	0.615	0.185	0.294	0.227
SAT-FT Shanghai Jiao Tong University	0.205	0.473	0.062	0.383	0.107
BiomedParseV2 Microsoft	0.025	0.066	0.006	0.071	0.012
CARE-CT Microsoft Research 8/7/2026	0.323	0.628	0.401	0.306	0.347
VoxTell-FT HBKU 6/24/2026	0.162	0.371	0.031	0.277	0.056
DVSM 7/13/2026	0.322	0.642	0.215	0.359	0.269

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Category	n	Dice	Hit Rate

Legend: Category codes starting with 1 are typically non-focal lung/airway/pleural abnormalities; codes starting with 2 are typically focal lung/airway/pleural opacities.