基于放射组学与人工智能的 CT 数据分析用于多发性骨髓瘤预后特征识别
组织与器官
2020-01-27 v1
摘要
多发性骨髓瘤（MM）是一种累及骨髓、造成肾损害和溶骨性病变的血液癌症。MM 的骨骼受累是本文的核心，利用放射组学（radiomics）和人工智能识别基于图像的 MM 生物标志物。初步结果表明，MM 与全身骨内体积的扩展相关，且机器学习可识别与疾病演变最相关的 CT 图像特征。该计算方法可依据这些生物标志物对 MM 患者进行自动分层，并形成用于确定疾病随访的预后流程。
引用
@article{arxiv.2001.08924,
title = {Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myeloma},
author = {Daniela Schenonea and Rita Lai and Michele Cea and Federica Rossi and Lorenzo Torri and Bianca Bignotti and Giulia Succio and Stefano Gualco and Alessio Conte and Alida Dominietto and Anna Maria Massone and Michele Piana and Cristina Campi and Francesco Frassoni and Gianmario Sambuceti and Alberto Stefano Tagliafico},
journal= {arXiv preprint arXiv:2001.08924},
year = {2020}
}