• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

S100A4 在胰腺导管腺癌中的过表达:MRI 全瘤评估及纹理分析的成像生物标志物。

S100A4 overexpression in pancreatic ductal adenocarcinoma: imaging biomarkers from whole-tumor evaluation with MRI and texture analysis.

机构信息

Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.

Department of Pathology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.

出版信息

Abdom Radiol (NY). 2021 Feb;46(2):623-635. doi: 10.1007/s00261-020-02676-3. Epub 2020 Aug 1.

DOI:10.1007/s00261-020-02676-3
PMID:32740861
Abstract

OBJECTIVE

To investigate the relationship between imaging findings and S100A4 overexpression in pancreatic ductal adenocarcinoma (PDAC) and to determine imaging biomarkers of S100A4 overexpression from whole-tumor evaluation with MRI and texture analysis.

METHODS

A total of 60 patients with pathologically confirmed PDAC were included in the study. All patients underwent preoperative abdominal contrast-enhanced MRI examination with Magnetom Aera (Siemens Healthcare, Germany, 1.5 T) at our institute. Whole-tumor evaluation including texture analysis was performed. Sections of specimens were reviewed, and the S100A4 expression status was quantitatively evaluated. Univariate and multivariate logistic regression analyses were conducted to find imaging biomarkers that could predict S100A4 overexpression.

RESULTS

Twenty-four tumors (40.0%) had negative results for S100A4 overexpression, and 36 tumors (60.0%) exhibited overexpression. After univariate and multivariate analysis, distal pancreatic duct dilatation, TWI_10th percentile and the enhancement rate difference between delayed phase (DP) and portal venous phase (PVP) were identified to predict S100A4 overexpression in PDAC independently (p = 0.009, 0.012 and 0.044), with odds ratios (ORs) of 0.102, 0.139 and 4.645, respectively. The area under the ROC curve (AUC) values were 0.715, 0.707 and 0.691. The AUC value of the proposed model was 0.877 with a sensitivity of 80.6% and specificity of 75.0%.

CONCLUSION

A model including distal pancreatic duct dilatation, TWI_10th percentile and the enhancement rate difference between the DP and PVP could predict S100A4 overexpression in PDAC as imaging biomarkers.

摘要

目的

研究胰腺导管腺癌(PDAC)中影像学表现与 S100A4 过表达的关系,并通过 MRI 全瘤评估及纹理分析确定 S100A4 过表达的影像学生物标志物。

方法

本研究纳入了 60 例经病理证实的 PDAC 患者。所有患者均在我院行术前腹部增强 MRI 检查(德国西门子医疗公司 Magnetom Aera,1.5 T)。对全瘤进行评估,包括纹理分析。对标本切片进行复查,并对 S100A4 的表达状态进行定量评估。采用单因素和多因素逻辑回归分析寻找能预测 S100A4 过表达的影像学标志物。

结果

24 例肿瘤(40.0%)的 S100A4 过表达结果为阴性,36 例肿瘤(60.0%)为过表达。单因素和多因素分析后,远端胰管扩张、TWI_10th 百分位数和延迟期(DP)与门静脉期(PVP)强化率差值被确定为可独立预测 PDAC 中 S100A4 过表达的影像学标志物(p=0.009、0.012 和 0.044),其优势比(OR)分别为 0.102、0.139 和 4.645,ROC 曲线下面积(AUC)值分别为 0.715、0.707 和 0.691。提出的模型 AUC 值为 0.877,其敏感性为 80.6%,特异性为 75.0%。

结论

包括远端胰管扩张、TWI_10th 百分位数和 DP 与 PVP 强化率差值的模型可作为预测 PDAC 中 S100A4 过表达的影像学生物标志物。

相似文献

1
S100A4 overexpression in pancreatic ductal adenocarcinoma: imaging biomarkers from whole-tumor evaluation with MRI and texture analysis.S100A4 在胰腺导管腺癌中的过表达:MRI 全瘤评估及纹理分析的成像生物标志物。
Abdom Radiol (NY). 2021 Feb;46(2):623-635. doi: 10.1007/s00261-020-02676-3. Epub 2020 Aug 1.
2
The differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma: the values of CT imaging features and texture analysis.胰腺神经内分泌癌与胰腺导管腺癌的鉴别:CT 成像特征及纹理分析的价值。
Cancer Imaging. 2018 Oct 17;18(1):37. doi: 10.1186/s40644-018-0170-8.
3
Adding Delayed Phase Images to Dual-Phase Contrast-Enhanced CT Increases Sensitivity for Small Pancreatic Ductal Adenocarcinoma.添加延迟相图像可提高双期增强 CT 对小胰腺导管腺癌的敏感性。
AJR Am J Roentgenol. 2021 Oct;217(4):888-897. doi: 10.2214/AJR.20.25430. Epub 2021 Mar 24.
4
Radiomics model-based algorithm for preoperative prediction of pancreatic ductal adenocarcinoma grade.基于放射组学模型的算法用于术前预测胰腺导管腺癌分级。
Eur Radiol. 2023 Feb;33(2):1152-1161. doi: 10.1007/s00330-022-09046-1. Epub 2022 Aug 20.
5
Whole-tumor histogram analysis of non-Gaussian distribution DWI parameters to differentiation of pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinomas.非高斯分布扩散加权成像(DWI)参数的全肿瘤直方图分析用于鉴别胰腺神经内分泌肿瘤和胰腺导管腺癌。
Magn Reson Imaging. 2019 Jan;55:52-59. doi: 10.1016/j.mri.2018.09.017. Epub 2018 Sep 18.
6
Whole-tumour evaluation with MRI and radiomics features to predict the efficacy of S-1 for adjuvant chemotherapy in postoperative pancreatic cancer patients: a pilot study.采用 MRI 和放射组学特征对全肿瘤进行评估,预测术后胰腺癌患者 S-1 辅助化疗疗效的初步研究。
BMC Med Imaging. 2021 Apr 26;21(1):75. doi: 10.1186/s12880-021-00605-4.
7
Complementary role of computed tomography texture analysis for differentiation of pancreatic ductal adenocarcinoma from pancreatic neuroendocrine tumors in the portal-venous enhancement phase.门静脉期增强 CT 纹理分析在胰腺导管腺癌与胰腺神经内分泌肿瘤鉴别诊断中的互补作用。
Abdom Radiol (NY). 2020 Mar;45(3):750-758. doi: 10.1007/s00261-020-02406-9.
8
Differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma using magnetic resonance imaging: The value of contrast-enhanced and diffusion weighted imaging.利用磁共振成像鉴别胰腺神经内分泌癌与胰腺导管腺癌:对比增强成像和扩散加权成像的价值
Oncotarget. 2017 Jun 27;8(26):42962-42973. doi: 10.18632/oncotarget.17309.
9
Usefulness of non-contrast MR imaging in distinguishing pancreatic ductal adenocarcinoma from focal pancreatitis.非对比增强磁共振成像在鉴别胰腺导管腺癌与局灶性胰腺炎中的作用。
Clin Imaging. 2019 May-Jun;55:132-139. doi: 10.1016/j.clinimag.2019.02.013. Epub 2019 Feb 20.
10
MRI of pancreatic ductal adenocarcinoma: texture analysis of T2-weighted images for predicting long-term outcome.胰腺导管腺癌的 MRI:T2 加权图像纹理分析预测长期预后。
Abdom Radiol (NY). 2019 Jan;44(1):122-130. doi: 10.1007/s00261-018-1681-2.

引用本文的文献

1
S100 Proteins in Pancreatic Cancer: Current Knowledge and Future Perspectives.胰腺癌中的S100蛋白:当前认知与未来展望
Front Oncol. 2021 Aug 30;11:711180. doi: 10.3389/fonc.2021.711180. eCollection 2021.
2
Ca Signaling and Its Potential Targeting in Pancreatic Ductal Carcinoma.钙信号传导及其在胰腺导管癌中的潜在靶向作用
Cancers (Basel). 2021 Jun 21;13(12):3085. doi: 10.3390/cancers13123085.
3
Whole-tumour evaluation with MRI and radiomics features to predict the efficacy of S-1 for adjuvant chemotherapy in postoperative pancreatic cancer patients: a pilot study.

本文引用的文献

1
Biomarker panel predicts survival after resection in pancreatic ductal adenocarcinoma: A multi-institutional cohort study.生物标志物panel 预测胰腺导管腺癌切除术后的生存:多机构队列研究。
Eur J Surg Oncol. 2019 Feb;45(2):218-224. doi: 10.1016/j.ejso.2018.10.050. Epub 2018 Oct 11.
2
Differentiation of Papillary Renal Cell Carcinoma Subtypes on MRI: Qualitative and Texture Analysis.MRI 鉴别乳头状肾细胞癌亚型:定性和纹理分析。
AJR Am J Roentgenol. 2018 Dec;211(6):1234-1245. doi: 10.2214/AJR.17.19213. Epub 2018 Sep 21.
3
CT texture analysis of pancreatic cancer.
采用 MRI 和放射组学特征对全肿瘤进行评估,预测术后胰腺癌患者 S-1 辅助化疗疗效的初步研究。
BMC Med Imaging. 2021 Apr 26;21(1):75. doi: 10.1186/s12880-021-00605-4.
胰腺癌的 CT 纹理分析。
Eur Radiol. 2019 Mar;29(3):1067-1073. doi: 10.1007/s00330-018-5662-1. Epub 2018 Aug 16.
4
Tumor heterogeneity of pancreas head cancer assessed by CT texture analysis: association with survival outcomes after curative resection.基于 CT 纹理分析评估胰头癌的肿瘤异质性:与根治性切除术后生存结局的相关性。
Sci Rep. 2018 May 8;8(1):7226. doi: 10.1038/s41598-018-25627-x.
5
Overexpression of S100A4 protein may be associated with the development and progression of pancreatic cancer.S100A4蛋白的过表达可能与胰腺癌的发生和发展有关。
J Cancer Res Ther. 2018;14(Supplement):S159-S166. doi: 10.4103/0973-1482.172582.
6
Computational Radiomics System to Decode the Radiographic Phenotype.用于解码影像学表型的计算放射组学系统
Cancer Res. 2017 Nov 1;77(21):e104-e107. doi: 10.1158/0008-5472.CAN-17-0339.
7
EUS-guided fine needle biopsy of pancreatic masses can yield true histology.超声内镜引导下胰腺肿块细针穿刺活检可获得真实的组织学结果。
Gut. 2018 Dec;67(12):2081-2084. doi: 10.1136/gutjnl-2017-315154. Epub 2017 Oct 7.
8
CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges.CT纹理分析:定义、应用、生物学关联及挑战
Radiographics. 2017 Sep-Oct;37(5):1483-1503. doi: 10.1148/rg.2017170056.
9
CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis.CT纹理特征与胰腺导管腺癌的总生存期相关——一项定量分析。
BMC Med Imaging. 2017 Jun 19;17(1):38. doi: 10.1186/s12880-017-0209-5.
10
Resectable pancreatic adenocarcinoma: Role of CT quantitative imaging biomarkers for predicting pathology and patient outcomes.可切除性胰腺腺癌:CT定量成像生物标志物在预测病理及患者预后中的作用
Eur J Radiol. 2017 May;90:152-158. doi: 10.1016/j.ejrad.2017.02.033. Epub 2017 Feb 22.