Kidney transplant inflammation scoring improved by 3D volumetric analysis
3D Banff Glomerulitis Scoring for Kidney Transplant Pathology: Feasibility Study for Volumetric Quantification
Computer Vision and Pattern Recognition
Summary
Assessing inflammation in kidney transplants usually looks at one thin slice of tissue, which can miss how inflammation varies deeper inside. The authors tested a way to combine many tissue slices to build a 3D picture, counting inflammation more accurately across the whole sample. They found this 3D method gave more stable scores and matched clinical health markers better than traditional 2D methods. This suggests looking at inflammation in 3D could help doctors understand kidney transplant health more reliably.
What this means in practice
- •For clinical pathology labs: Use 3D reconstructed biopsy scoring to improve consistency in diagnosing transplant rejection.
- •For medical image analysis developers: Incorporate 3D volumetric inflammation scoring algorithms into software tools for transplant pathology.
Authors
Yanfan Zhu, Junchao Zhu, Ruining Deng, Shilin Zhao, Yu Wang, Yaohong Wang, Yuechen Yang, Chongyu Qu, Zhengyi Lu, Juming Xiong, Mengmeng Yin, Yihan Wang, Andrew J. Rauch, Haichun Yang, Yuankai Huo
Abstract
Quantifying glomerular inflammation in kidney-transplant biopsies is traditionally performed on single whole-slide sections using the Banff "most-severe section" rule, despite the inherently three-dimensional nature of lesion distribution. This 2D based assessment might lead to instability when inflammation varies across slices. This paper reports a feasibility study examining the technical feasibility and clinical relevance of extending Banff scoring into three dimensions. To this end, we propose a 3D Banff lesion-scoring framework that aligns serial sections, reconstructs glomerular identities across depth, and integrates inflammatory-cell counts in 3D under three scoring strategies: Compatible, Volumetric, and Deduplicated Volumetric. In the experiments, glomerulitis (g-scores) was used as an example Banff metric and applied to multi-section renal allograft biopsies. Our findings indicate that 3D Banff g-scores are more consistent across sections and, under the semi-automatic setting, the Volumetric strategy correlates more strongly with clinical biomarkers than traditional 2D scores. These results show that 3D volumetric quantification offers promising added value, underscoring the potential benefit of 3D-aware Banff scoring for kidney transplant pathology.