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基于基因影像學(xué)方法的肝細(xì)胞癌預(yù)后影像標(biāo)記物研究

發(fā)布時(shí)間:2018-04-30 16:18

  本文選題:肝細(xì)胞癌 + 基因影像學(xué); 參考:《航天醫(yī)學(xué)與醫(yī)學(xué)工程》2017年06期


【摘要】:目的通過(guò)肝細(xì)胞癌影像特征和基因模塊關(guān)聯(lián)的基因影像學(xué)方法,獲取生物可解釋的影像學(xué)標(biāo)記物。方法從癌癥基因組數(shù)據(jù)庫(kù)獲取371例肝細(xì)胞癌基因表達(dá)數(shù)據(jù),其中37例有對(duì)應(yīng)的術(shù)前增強(qiáng)CT數(shù)據(jù)。從勾畫(huà)的腫瘤區(qū)域提取639維定量影像特征,基于一致性指數(shù)標(biāo)準(zhǔn),篩選出12個(gè)影像特征。對(duì)肝細(xì)胞癌基因表達(dá)數(shù)據(jù)進(jìn)行聚類,得到聚類基因模塊,并與影像特征構(gòu)建Spearman相關(guān)圖,篩選出與基因模塊關(guān)聯(lián)的影像特征,最后用Cox回歸模型評(píng)估其是否具有預(yù)后功能。結(jié)果 12個(gè)影像特征中,4個(gè)與預(yù)后的基因模塊顯著相關(guān),3個(gè)與生存預(yù)后顯著相關(guān)。其中,小波分量高灰度級(jí)小區(qū)域增強(qiáng)特征,與代表糖鏈生物合成的基因模塊顯著相關(guān),且該影像特征與病人的總體生存周期(P=0.006,風(fēng)險(xiǎn)比=0.16)顯著相關(guān);低灰度級(jí)長(zhǎng)游程增強(qiáng)紋理特征,與代表血管生成的基因模塊顯著相關(guān),且與總體生存周期(P=0.049,風(fēng)險(xiǎn)比=3.21)顯著相關(guān)。結(jié)論描述腫瘤小波頻率和紋理的影像特征有可解釋的生物學(xué)含義,并且與生存周期顯著相關(guān),這些特征可作為肝細(xì)胞癌潛在的影像學(xué)標(biāo)記物。
[Abstract]:Objective to obtain biodegradable imaging markers from hepatocellular carcinoma (HCC) by genetic imaging method associated with gene module. Methods 371 hepatocellular carcinoma gene expression data were obtained from the cancer genome database, 37 of which had corresponding preoperative enhanced CT data. Six hundred and thirty-nine dimensional quantitative image features were extracted from the delineated tumor area, and 12 image features were selected based on the consistency index standard. After clustering the gene expression data of hepatocellular carcinoma, the cluster gene module was obtained, and the Spearman correlation map was constructed with the image features, and the image features associated with the gene module were screened out. Finally, the Cox regression model was used to evaluate whether the model had prognostic function. Results of the 12 imaging features, 4 were significantly correlated with prognostic gene modules, and 3 were significantly correlated with survival and prognosis. Among them, the enhancement feature of small region with high gray level of wavelet component was significantly correlated with the gene module representing the biosynthesis of sugar chain, and the feature of the image was significantly correlated with the patient's total life cycle (P0. 006) and the risk ratio (0. 16). Low gray level long run length enhanced texture features were significantly correlated with the gene modules that represented angiogenesis, and with the total life cycle of P0. 049 with a risk ratio of 3. 21). Conclusion the image features describing the wavelet frequency and texture of the tumor have explainable biological implications and are significantly related to the survival cycle. These features can be used as potential imaging markers for hepatocellular carcinoma.
【作者單位】: 上海大學(xué)通信與信息工程學(xué)院生物醫(yī)學(xué)工程研究所;中國(guó)科學(xué)院蘇州生物醫(yī)學(xué)工程技術(shù)研究所;
【基金】:國(guó)家自然科學(xué)基金資助項(xiàng)目(81571772) 江蘇省科技計(jì)劃(BE2017671)
【分類號(hào)】:R735.7
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本文編號(hào):1825260

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