Radiomics in medical imaging—“how-to” guide and critical reflection 论文

2020Insights into Imaging引用 1236顶会
Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosisAI in cancer detection

详细信息

发表期刊/会议
Insights into Imaging
发表日期
2020-08-12
发表年份
2020

关键词

Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosisAI in cancer detection

摘要

Radiomics is a quantitative approach to medical imaging, which aims at enhancing the existing data available to clinicians by means of advanced mathematical analysis. Through mathematical extraction of the spatial distribution of signal intensities and pixel interrelationships, radiomics quantifies textural information by using analysis methods from the field of artificial intelligence. Various studies from different fields in imaging have been published so far, highlighting the potential of radiomics to enhance clinical decision-making. However, the field faces several important challenges, which are mainly caused by the various technical factors influencing the extracted radiomic features.The aim of the present review is twofold: first, we present the typical workflow of a radiomics analysis and deliver a practical "how-to" guide for a typical radiomics analysis. Second, we discuss the current limitations of radiomics, suggest potential improvements, and summarize relevant literature on the subject.