Research progress of habitat analysis in radiomics of malignant tumors

VernacularTitle:生境分析在恶性肿瘤影像组学中的研究进展
Author: Yi FU ¹ ; Chenying MA ; Lu ZHANG ; Juying ZHOU
Author Information

1. 苏州大学附属第一医院放疗科，苏州　215006
Keywords: Neoplasms; Tumor microenvironment; Radiomics; Machine learning
From: Journal of International Oncology 2024;51(5):292-297
CountryChina
Language:Chinese
Abstract: Nowadays, the research on traditional radiomics has gradually matured. However, it usually regards the tumor as a whole, and high-throughput data are often generated in the entire tumor region, which cannot express clear spatial heterogeneity. In order to explore the potential biological information within tumors and realize individualized precise diagnosis and treatment, habitat analysis technology emerges at the historic moment, which provides a new way of thinking to identify tumor microenvironment. On the basis of traditional radiomics, the tumor cell population with similar characteristics is clustered, and the tumor is segmented into multiple sub-regions. Therefore, the study of tumor is no longer limited by the subjective differences of observers in the description of imaging features, and the information of tumor spatial heterogeneity is ideally obtained.