Construction and validation of artificial intelligence pathomics models for predicting pathological staging in colorectal cancer: Using multimodal data and clinical variables

ConclusionThe combined model and nomogram, which integrate pathomics multi-modal data and clinical-pathological variables, demonstrated superior performance in distinguishing between Stage I –II and Stage III colorectal cancer. This provides valuable support for clinical decision-making and may improve treatment strategies and patient prognosis. Furthermore, the use of immunohistochemistry (Ki67) slides for pathomics modeling outperformed HE slide, offering new insights for future pat homics research.

Source: Cancer Medicine - March 28, 2024 Category: Cancer & Oncology Authors: Yang Tan, Run Liu, Jia ‐wen Xue, Zhenbo Feng Tags: RESEARCH ARTICLE Source Type: research