Integrating radiomics, pathomics, and biopsy-adapted immunoscore for predicting distant metastasis in locally advanced rectal cancer.

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Tác giả: S Chen, X Liu, W Peng, W Shen, L Wan, S Wang, H Zhang, R Zhang, R Zhao, W Zhao, S Zou

Ngôn ngữ: eng

Ký hiệu phân loại: 020.601 International organizations

Thông tin xuất bản: England : ESMO open , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 95475

BACKGROUND: This study aimed to develop and validate a nomogram that utilized macro- and microscopic tumor characteristics at baseline, including radiomics, pathomics, and biopsy-adapted immunoscore (IS MATERIALS AND METHODS: In total, 201 patients with LARC (91 months of median follow-up) were enrolled. Radiomics features were extracted from apparent diffusion coefficient maps and T2-weighted images. Pathomics features including global pattern (features of the entire image) and local pattern (features of the tumor nuclei) were extracted from whole-slide images of hematoxylin-eosin-stained biopsy specimens. IS RESULTS: Compared with patients with moderate and high IS CONCLUSIONS: The nomogram integrating macroscopic radiological information and microscopic pathological information is effective for risk stratification at baseline in LARC treated with nCRT.
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