• 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

基于 FDG-PET 影像组学特征的签名可预测不能从放化疗中获益的食管鳞癌患者。

A FDG-PET radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation.

机构信息

Department of Radiation Oncology, First Affiliated Hospital of Xiamen University, No. 55 Zhenhai Road, Siming District, Xiamen City, 361003, Fujian Province, China.

Department of Radiation Oncology, University of California Davis School of Medicine, Sacramento, CA, USA.

出版信息

Sci Rep. 2020 Oct 19;10(1):17671. doi: 10.1038/s41598-020-74701-w.

DOI:10.1038/s41598-020-74701-w
PMID:33077841
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7573602/
Abstract

Detection of patients with esophageal squamous cell carcinoma (ESCC) who do not benefit from standard chemoradiation (CRT) is an important medical need. Radiomics using 18-fluorodeoxyglucose (FDG) positron emission tomography (PET) is a promising approach. In this retrospective study of 184 patients with locally advanced ESCC. 152 patients from one center were grouped into a training cohort (n = 100) and an internal validation cohort (n = 52). External validation was performed with 32 patients treated at a second center. Primary endpoint was disease-free survival (DFS), secondary endpoints were overall survival (OS) and local control (LC). FDG-PET radiomics features were selected by Lasso-Cox regression analyses and a separate radiomics signature was calculated for each endpoint. In the training cohort radiomics signatures containing up to four PET derived features were able to identify non-responders in regard of all endpoints (DFS p < 0.001, LC p = 0.003, OS p = 0.001). After successful internal validation of the cutoff values generated by the training cohort for DFS (p = 0.025) and OS (p = 0.002), external validation using these cutoffs was successful for DFS (p = 0.002) but not for the other investigated endpoints. These results suggest that pre-treatment FDG-PET features may be useful to detect patients who do not respond to CRT and could benefit from alternative treatment.

摘要

检测不能从标准放化疗(CRT)中获益的食管鳞癌(ESCC)患者是一个重要的医疗需求。使用 18-氟脱氧葡萄糖(FDG)正电子发射断层扫描(PET)的放射组学是一种很有前途的方法。在这项对 184 例局部晚期 ESCC 患者的回顾性研究中,来自一个中心的 152 例患者被分为训练队列(n=100)和内部验证队列(n=52)。外部验证使用来自第二个中心的 32 例患者进行。主要终点是无病生存(DFS),次要终点是总生存(OS)和局部控制(LC)。FDG-PET 放射组学特征通过 Lasso-Cox 回归分析选择,并为每个终点计算单独的放射组学特征。在训练队列中,包含多达四个 PET 衍生特征的放射组学特征能够识别出所有终点的无反应者(DFS p<0.001,LC p=0.003,OS p=0.001)。在成功内部验证了训练队列生成的DFS(p=0.025)和 OS(p=0.002)的截止值后,使用这些截止值的外部验证在 DFS 方面是成功的(p=0.002),但在其他研究终点方面则不成功。这些结果表明,治疗前 FDG-PET 特征可能有助于检测不能从 CRT 中获益的患者,并可能从替代治疗中获益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fd4/7573602/e541c4215bf1/41598_2020_74701_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fd4/7573602/45f885d27846/41598_2020_74701_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fd4/7573602/26ae9987c029/41598_2020_74701_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fd4/7573602/e541c4215bf1/41598_2020_74701_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fd4/7573602/45f885d27846/41598_2020_74701_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fd4/7573602/26ae9987c029/41598_2020_74701_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fd4/7573602/e541c4215bf1/41598_2020_74701_Fig3_HTML.jpg

相似文献

1
A FDG-PET radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation.基于 FDG-PET 影像组学特征的签名可预测不能从放化疗中获益的食管鳞癌患者。
Sci Rep. 2020 Oct 19;10(1):17671. doi: 10.1038/s41598-020-74701-w.
2
Combined tumor plus nontumor interim FDG-PET parameters are prognostic for response to chemoradiation in squamous cell esophageal cancer.联合肿瘤和非肿瘤中期 FDG-PET 参数可预测食管鳞癌放化疗反应的预后。
Int J Cancer. 2020 Sep 1;147(5):1427-1436. doi: 10.1002/ijc.32897. Epub 2020 Feb 19.
3
Metabolic parameters of sequential 18F-FDG PET/CT predict overall survival of esophageal cancer patients treated with (chemo-) radiation.连续 18F-FDG PET/CT 的代谢参数可预测接受(放)化疗的食管癌患者的总生存。
Radiat Oncol. 2019 Feb 19;14(1):35. doi: 10.1186/s13014-019-1236-x.
4
Favorable versus unfavorable prognostic groups by post-chemoradiation FDG-PET imaging in node-positive esophageal squamous cell carcinoma patients treated with definitive chemoradiotherapy.放化疗后 FDG-PET 对接受根治性放化疗的淋巴结阳性食管鳞癌患者预后分组的影响。
Eur J Nucl Med Mol Imaging. 2018 May;45(5):689-698. doi: 10.1007/s00259-017-3901-3. Epub 2017 Nov 30.
5
A nomogram based on pretreatment radiomics and dosiomics features for predicting overall survival associated with esophageal squamous cell cancer.一种基于治疗前影像组学和剂量组学特征的列线图,用于预测食管鳞状细胞癌的总生存期。
Eur J Surg Oncol. 2024 Jul;50(7):108450. doi: 10.1016/j.ejso.2024.108450. Epub 2024 Jun 4.
6
Combining the radiomic features and traditional parameters of F-FDG PET with clinical profiles to improve prognostic stratification in patients with esophageal squamous cell carcinoma treated with neoadjuvant chemoradiotherapy and surgery.将 F-FDG PET 的放射组学特征和传统参数与临床特征相结合,以改善接受新辅助放化疗和手术治疗的食管鳞癌患者的预后分层。
Ann Nucl Med. 2019 Sep;33(9):657-670. doi: 10.1007/s12149-019-01380-7. Epub 2019 Jun 19.
7
Positron-Emission Tomography Scan-Directed Chemoradiation for Esophageal Squamous Cell Carcinoma: No Benefit for a Change in Chemotherapy in Positron-Emission Tomography Nonresponders.正电子发射断层扫描指导下的放化疗治疗食管鳞癌:正电子发射断层扫描无应答者中改变化疗方案无益。
J Thorac Oncol. 2019 Mar;14(3):540-546. doi: 10.1016/j.jtho.2018.10.152. Epub 2018 Nov 1.
8
Confirmation of the prognostic value of pretherapeutic tumor SUR and MTV in patients with esophageal squamous cell carcinoma.证实术前肿瘤 SUR 和 MTV 对食管鳞癌患者的预后价值。
Eur J Nucl Med Mol Imaging. 2019 Jul;46(7):1485-1494. doi: 10.1007/s00259-019-04307-6. Epub 2019 Apr 4.
9
Post-chemoradiotherapy FDG PET with qualitative interpretation criteria for outcome stratification in esophageal squamous cell carcinoma.放化疗后 FDG PET 采用定性解读标准对食管鳞癌进行预后分层。
PLoS One. 2019 Jan 7;14(1):e0210055. doi: 10.1371/journal.pone.0210055. eCollection 2019.
10
Prognostic value of lymph node to primary tumor standardized uptake value ratio in unresectable esophageal cancer.不可切除食管癌中淋巴结与原发肿瘤标准化摄取值比值的预后价值。
BMC Cancer. 2020 Jun 10;20(1):545. doi: 10.1186/s12885-020-07044-4.

引用本文的文献

1
The prognostic value of pretreatment [F]FDG PET/CT parameters in esophageal cancer: a meta-analysis.食管癌治疗前[F]FDG PET/CT参数的预后价值:一项荟萃分析。
Eur Radiol. 2025 Jun;35(6):3396-3408. doi: 10.1007/s00330-024-11207-3. Epub 2024 Nov 21.
2
Progress of magnetic resonance imaging radiomics in preoperative lymph node diagnosis of esophageal cancer.磁共振成像放射组学在食管癌术前淋巴结诊断中的研究进展
World J Radiol. 2023 Jul 28;15(7):216-225. doi: 10.4329/wjr.v15.i7.216.
3
Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver.

本文引用的文献

1
The Dark Side of Radiomics: On the Paramount Importance of Publishing Negative Results.放射组学的阴暗面:论发表阴性结果的至关重要性。
J Nucl Med. 2019 Nov;60(11):1543-1544. doi: 10.2967/jnumed.119.235325. Epub 2019 Sep 20.
2
Tumor grading of soft tissue sarcomas using MRI-based radiomics.基于 MRI 的影像组学对软组织肉瘤进行肿瘤分级。
EBioMedicine. 2019 Oct;48:332-340. doi: 10.1016/j.ebiom.2019.08.059. Epub 2019 Sep 12.
3
Experimental Multicenter and Multivendor Evaluation of the Performance of PET Radiomic Features Using 3-Dimensionally Printed Phantom Inserts.
基于人工智能的解决方案对胰腺和肝脏成像的临床影响。
World J Gastroenterol. 2023 Mar 7;29(9):1427-1445. doi: 10.3748/wjg.v29.i9.1427.
4
Development and Validation of a New Staging System for Esophageal Squamous Cell Carcinoma Patients Based on Combined Pathological TNM, Radiomics, and Proteomics.基于联合病理TNM、影像组学和蛋白质组学的食管鳞状细胞癌患者新分期系统的开发与验证
Ann Surg Oncol. 2023 Apr;30(4):2227-2241. doi: 10.1245/s10434-022-13026-6. Epub 2022 Dec 31.
5
Role of radiomics in the diagnosis and treatment of gastrointestinal cancer.影像组学在胃肠癌诊断与治疗中的作用。
World J Gastroenterol. 2022 Nov 14;28(42):6002-6016. doi: 10.3748/wjg.v28.i42.6002.
6
Radiomics in Oncological PET Imaging: A Systematic Review-Part 2, Infradiaphragmatic Cancers, Blood Malignancies, Melanoma and Musculoskeletal Cancers.肿瘤PET成像中的放射组学:系统综述 - 第2部分,膈下癌症、血液恶性肿瘤、黑色素瘤和肌肉骨骼肿瘤
Diagnostics (Basel). 2022 May 27;12(6):1330. doi: 10.3390/diagnostics12061330.
7
Prognostic and incremental value of computed tomography-based radiomics from tumor and nodal regions in esophageal squamous cell carcinoma.基于计算机断层扫描的食管鳞状细胞癌肿瘤及淋巴结区域影像组学的预后价值和增量价值
Chin J Cancer Res. 2022 Apr 30;34(2):71-82. doi: 10.21147/j.issn.1000-9604.2022.02.02.
8
Clinical Perspectives for F-FDG PET Imaging in Pediatric Oncology: Μetabolic Tumor Volume and Radiomics.小儿肿瘤学中F-FDG PET成像的临床前景:代谢肿瘤体积与放射组学
Metabolites. 2022 Feb 28;12(3):217. doi: 10.3390/metabo12030217.
9
Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapy.基于机器学习的食管癌定量成像分析研究的方法学质量:同步放化疗后临床结局预测的系统评价。
Eur J Nucl Med Mol Imaging. 2022 Jul;49(8):2462-2481. doi: 10.1007/s00259-021-05658-9. Epub 2021 Dec 23.
10
Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseases.人工智能在胃肠病多学科影像诊断中的作用。
World J Gastroenterol. 2021 Jul 21;27(27):4395-4412. doi: 10.3748/wjg.v27.i27.4395.
使用三维打印的 phantom 插件进行 PET 放射组学特征的多中心、多供应商性能的实验评估。
J Nucl Med. 2020 Mar;61(3):469-476. doi: 10.2967/jnumed.119.229724. Epub 2019 Aug 16.
4
Tumor Compactness based on CT to predict prognosis after multimodal treatment for esophageal squamous cell carcinoma.基于 CT 的肿瘤密实度预测食管鳞癌多模态治疗后的预后。
Sci Rep. 2019 Jul 19;9(1):10497. doi: 10.1038/s41598-019-46899-x.
5
Assessing radiomic feature robustness to interpolation in F-FDG PET imaging.评估 F-FDG PET 成像中放射组学特征对插值的稳健性。
Sci Rep. 2019 Jul 4;9(1):9649. doi: 10.1038/s41598-019-46030-0.
6
A good start of immunotherapy in esophageal cancer.食管癌免疫治疗的良好开端。
Cancer Med. 2019 Aug;8(10):4519-4526. doi: 10.1002/cam4.2336. Epub 2019 Jun 23.
7
Impact of intensity discretization on textural indices of [F]FDG-PET tumour heterogeneity in lung cancer patients.强度离散化对肺癌患者 [F]FDG-PET 肿瘤异质性纹理指标的影响。
Phys Med Biol. 2019 Jun 20;64(12):125016. doi: 10.1088/1361-6560/ab2328.
8
Confirmation of the prognostic value of pretherapeutic tumor SUR and MTV in patients with esophageal squamous cell carcinoma.证实术前肿瘤 SUR 和 MTV 对食管鳞癌患者的预后价值。
Eur J Nucl Med Mol Imaging. 2019 Jul;46(7):1485-1494. doi: 10.1007/s00259-019-04307-6. Epub 2019 Apr 4.
9
External validation of a prognostic model incorporating quantitative PET image features in oesophageal cancer.纳入定量 PET 图像特征的食管癌预后模型的外部验证。
Radiother Oncol. 2019 Apr;133:205-212. doi: 10.1016/j.radonc.2018.10.033. Epub 2018 Nov 10.
10
Prognostic value of SUR in patients with trimodality treatment of locally advanced esophageal carcinoma.SUR在局部晚期食管癌三联疗法患者中的预后价值。
J Nucl Med. 2018 Aug 30;60(2):192-8. doi: 10.2967/jnumed.117.207670.