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您的检索式：作者名="Xijiao Song"
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| 1 | Texture analysis on gadoxetic acid enhanced-MRI for predicting Ki-67 status in hepatocellular carcinoma: A prospective study显示文摘Objective: To investigate the value of whole-lesion texture analysis on preoperative gadoxetic acid enhanced magnetic resonance imaging(MRI) for predicting tumor Ki-67 status after curative resection in patients with hepatocellular carcinoma(HCC).Methods: This study consisted of 89 consecutive patients with surgically confirmed HCC. Texture features were extracted from multiparametric MRI based on whole-lesion regions of interest. The Ki-67 status was immunohistochemical determined and classified into low Ki-67(labeling index ≤15%) and high Ki-67(labeling index >15%) groups. Least absolute shrinkage and selection operator(LASSO) and multivariate logistic regression were applied for generating the texture signature, clinical nomogram and combined nomogram. The discrimination power, calibration and clinical usefulness of the three models were evaluated accordingly. Recurrence-free survival(RFS) rates after curative hepatectomy were also compared between groups.Results: A total of 13 texture features were selected to construct a texture signature for predicting Ki-67 status in HCC patients(C-index: 0.878, 95% confidence interval: 0.791-0.937). After incorporating texture signature to the clinical nomogram which included significant clinical variates(AFP, BCLC-stage, capsule integrity, tumor margin,enhancing capsule), the combined nomogram showed higher discrimination ability(C-index: 0.936 vs. 0.795,P<0.001), good calibration(P>0.05 in Hosmer-Lemeshow test) and higher clinical usefulness by decision curve analysis. RFS rate was significantly lower in the high Ki-67 group compared with the low Ki-67 group after curative surgery(63.27% vs. 85.00%, P<0.05).Conclusions: Texture analysis on gadoxetic acid enhanced MRI can serve as a noninvasive approach to preoperatively predict Ki-67 status of HCC after curative resection. The combination of texture signature and clinical factors demonstrated the potential to further improve the prediction performance. | Zheng Ye Hanyu Jiang Jie Chen Xijiao Liu Yi Wei Chunchao Xia Ting Duan Likun Cao Zhen Zhang Bin Song | 2019 | Chinese Journal of Cancer Research2019，31，5： | 11 |
| 2 | Unveiling the spatial distribution and molecular mechanisms of terpenoid biosynthesis in Salvia miltiorrhiza and S. grandifolia using multi-omicsand DESI-MSI显示文摘Salvia miltiorrhiza and S.grandifolia are rich in diterpenoids and have therapeutic effects on cardiovascular diseases.In this study,the spatial distribution of diterpenoids in both species was analyzed by a combination of metabolomics and mass spectrometry imaging techniques.The results indicated that diterpenoids in S.miltiorrhiza were mainly abietane-type norditerpenoid quinones with a furan or dihydrofuran D-ring and were mainly distributed in the periderm of the roots,e.g.cryptotanshinone and tanshinone IIA.The compounds in S.grandifolia were mainly phenolic abietane-type tricyclic diterpenoids with six-or seven-membered C-rings,and were widely distributed in the periderm,phloem,and xylem of the roots,e.g.11-hydroxy-sugiol,11,20-dihydroxy-sugiol,and 11,20-dihydroxy-ferruginol.In addition,the leaves of S.grandifolia were rich in tanshinone biosynthesis precursors,such as 11-hydroxy-sugiol,while those of S.miltiorrhiza were rich in phenolic acids.Genes in the upstream pathway of tanshinone biosynthesis were highly expressed in the root of S.grandifolia,and genes in the downstream pathway were highly expressed in the root of S.miltiorrhiza.Here,we describe the specific tissue distributions and mechanisms of diterpenoids in two Salvia species,which will facilitate further investigations of the biosynthesis of diterpenoids in plant synthetic biology. | Jie Xia Ganggui Lou Lan Zhang Yanbo Huang Jian Yang Juan Guo Zhechen Qi Zhenhao Li Guoliang Zhang Shengchun Xu Xijiao Song Xiaodan Zhang Yukun Wei Zongsuo Liang Dongfeng Yang | 2023 | Horticulture Research2023，10，7： | 0 |
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