【摘要】：Radiomics(影像組學)方法是指對CT、MRI和PET等大量醫(yī)學圖像提取定量影像學特征并進行分析,找到疾病的影像學標識物,從而實現(xiàn)對疾病的精準預測、診斷及預后評估等。眾所周知,癌癥治療是醫(yī)學界面臨的重要難題,盡早發(fā)現(xiàn)、盡早治療能夠極大地改善患者的生存率。腫瘤細胞的變化一般通過基因表達進行監(jiān)測,但也可以通過影像學標識物進行監(jiān)測,所以Radiomics方法被廣泛應用于癌癥的預測、早期診斷和治療,是當今國內(nèi)外影像醫(yī)學及其相關專業(yè)的研究熱點。本文首先對Radiomics方法中需要解決的4個關鍵性問題(包括多模態(tài)圖像采集和重建、圖像分割、特征提取和篩選、建立數(shù)據(jù)庫對信息分析建模)分別進行詳細的闡述;其次,介紹并分析Radiomics方法在早期預測及診斷非小細胞肺癌、前列腺癌、乳腺癌及其他癌癥方面的應用;最后,預測Radiomics方法的未來發(fā)展趨勢。
[Abstract]:Radiomics (Imaging histology) method refers to extracting quantitative imaging features of a large number of medical images, such as CT,MRI and PET, and finding out the imaging markers of the disease, so as to realize the accurate prediction, diagnosis and prognosis evaluation of the disease. As we all know, cancer treatment is an important problem facing the medical community. Early detection and early treatment can greatly improve the survival rate of patients. Changes in tumor cells are generally monitored by gene expression, but can also be monitored by imaging markers, so Radiomics is widely used in the prediction, early diagnosis and treatment of cancer. It is the research hotspot of imaging medicine and its related specialties at home and abroad. In this paper, the four key problems (including multi-modal image acquisition and reconstruction, image segmentation, feature extraction and selection, and the establishment of database for information analysis and modeling) in Radiomics method are described in detail. Secondly, the application of Radiomics method in early prediction and diagnosis of non-small cell lung cancer, prostate cancer, breast cancer and other cancers is introduced and analyzed. Finally, the future development trend of Radiomics method is predicted.
【作者單位】： 東北大學中荷生物醫(yī)學與信息工程學院;
【基金】：國家自然科學基金資助項目(編號:61302013、61372014、81671773、61672146) 遼寧省工業(yè)攻關及成果產(chǎn)業(yè)化項目(編號:2014305001) 中央高�；究蒲袠I(yè)務費項目(編號:N141008001)~~
【分類號】：R730.4

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