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  • The untapped potential of dosomics for theranostics: shaping . . . - Springer
    Indeed, dosomics is defined as a texture analysis method to produce dose features that encode the spatial 3D distribution of radiotherapy dose Leveraging big data, texture analysis, and artificial intelligence (AI), dosomics uncovers intricate patterns within radiation dose distributions
  • Research progress of dosiomics in precision radiotherapy
    This paper aimed to review the achievements of past dosiomics research, introduce the latest advancements in clinical radiotherapy, and discuss the value and future direction of dosiomics in personalized radiotherapy
  • Research progress of dosiomics in precision radiotherapy
    This paper aimed to review the achievements of past dosiomics research, introduce the latest advancements in clinical radiotherapy, and discuss the value and future direction of dosiomics in personalized radiotherapy
  • Radiomics and Dosiomics Signature From Whole Lung . . . - ScienceDirect
    In this work, we compared models with radiomics alone and with 3-dimensional spatial dose quantitative features (dosiomics), and then went beyond current knowledge by proposing a combined model that shows that radiomics and dosiomics are complementary; thus, leading to improved model performance
  • Frontiers | Dosiomics: Extracting 3D Spatial Features From Dose . . .
    The dosiomics method first extracts spatial features of the dose distribution within ipsilateral, contralateral, and total lungs, and then uses these extracted features to construct prediction model via univariate and multivariate logistic regression (LR)
  • A Multicentre Evaluation of Dosiomics Features Reproducibility . . .
    Dosiomics is born directly as an extension of radiomics: it entails extracting features from the patients’ three-dimensional (3D) radiotherapy dose distribution rather than from conventional medical images to obtain specific spatial and statistical information
  • 开发一种新的剂量组学模型来预测肺立体定向体放射治疗后的 . . .
    在此注册本研究的目的是研究肺部SBRT计划中CT密度和剂量分布之间相互作用的剂量组学特征，并开发一个模型来预测肺部SBRT治疗后的治疗失败。 方法：对2007年10月至2022年6月在内布拉斯加州大学医学中心（UNMC）接受SBRT治疗的179例肺癌患者进行回顾性研究。
  • 生信分析疾病语义相似度dosim，从零开始。 - CSDN博客
    最近开始复现程序了，发现每篇论文中都会使用疾病语义相似度dosim，但是上网搜索之后又没有完整的解释，对于纯小白来说非常不友好 ，准备记录一下，留着自己以后看。 1 下载R语言，配置R语言环境。 由于使用到的DOSE包是R语言的，好像生信分析这些东西都需要使用R语言，所以被迫学习新语言。 配置方面我是参考了这两篇文章，两个写的都差不多，参考一个就行。 2 安装生信工具工具页面在这里。 具体的过程我清除了记录所以忘了，日后若是再安装就再具体补充。 _疾病语义相似性
  • Use of radiomics and dosiomics to identify predictors of radiation . . .
    Dosiomics is a texture analysis method for evaluating radiotherapy dose distribution patterns Most of the published research in dosiomics evaluates its use in predicting radiation induced lung injury
  • Do Dosiomic Features Extracted From Planned 3-Dimensional Dose . . .
    Dosiomics contain information beyond common dose-volume histogram metrics from planned dose distributions Incorporation of prognostic dosiomic features in biochemical failure-free survival outcome models can lead to statistically significant although modest improvement in performance





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