Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy | |
Wei, Shengcai1; Han, Yuqi2; Zeng, Hanjiang3; Ye, Shuai4; Cheng, Jin1; Chai, Fan1; Wei, Jingwei5,6; Zhang, Jianwei7; Hong, Nan1; Bao, Yudi8; Zhou, Jing8; Ye, Yingjiang8; Meng, Xiaochun4; Zhou, Yuwen9; Deng, Yanhong7; Qiu, Meng9; Tian, Jie5,6,10,11; Wang, Yi1 | |
发表期刊 | EUROPEAN JOURNAL OF RADIOLOGY |
ISSN | 0720-048X |
2021-09-01 | |
卷号 | 142页码:8 |
通讯作者 | Tian, Jie(tian@ieee.org) ; Wang, Yi(wangyi@pkpuh.edu.cn) |
摘要 | Objective: To investigate the capability of a radiomics model, which was designed to identify histopathologic growth pattern (HGP) of colorectal liver metastases (CRLMs) based on contrast-enhanced multidetector computed tomography (ceMDCT), to predict early response and 1-year progression free survival (PFS) in patients treated with bevacizumab-containing chemotherapy. Methods: Patients with unresectable CRLMs who were treated with bevacizumab-containing chemotherapy were included in this multicenter retrospective study. For each target lesion, the radiomics-diagnosed HGP (RAD_HGP) of desmoplastic (D) pattern or replacement (R) pattern was determined. Logistic regression and receiver operating characteristic (ROC) curves were used to assess lesion- and patient-based responses according to morphologic response criteria. One-year PFS was calculated using Kaplan-Meier curves. Hazard ratios for 1-year PFS were obtained through Cox proportional hazard regression analysis. Results: Among 119 study patients, 206 D pattern and 140 R pattern lesions were identified. In patients with multiple lesions, 52 had D pattern, 31 had R pattern, and 36 had mixed (D + R) pattern. The area under the curve value for RAD_HGP in predicting early response was 0.707 for lesion-based analysis and 0.720 for patient-based analysis. Patients with D pattern had a significantly longer PFS than patients with R pattern or mixed pattern (P < 0.001). RAD_HGP was the only independent predictor of 1-year PFS. Conclusions: HGP diagnosed using a radiomics model could be used as an effective predictor of PFS for patients with CRLMs treated with bevacizumab-containing chemotherapy. |
关键词 | Histopathologic growth pattern Colorectal liver metastases Unresectable Radiomics Bevacizumab |
DOI | 10.1016/j.ejrad.2021.109863 |
关键词[WOS] | ANTI-ANGIOGENIC THERAPY ; COMPUTED-TOMOGRAPHY ; CANCER ; CRITERIA |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Nature Science Foundation of Beijing[7202217] ; Peking University People's Hospital Research and Development Funds[RS2019-05] ; Peking University People's Hospital Research and Development Funds[RDX2019-01] ; Ministry of Science and Technology of China[2016YFC0103803] ; Ministry of Science and Technology of China[2016YFA0201401] ; Ministry of Science and Technology of China[2016YFC0103702] ; Ministry of Science and Technology of China[2017YFC1308700] ; Ministry of Science and Technology of China[2017YFC1309100] ; Ministry of Science and Technology of China[2017YFA0205200] ; National Natural Science Foundation of China[82001917] ; National Natural Science Foundation of China[81930093] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81771924] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005] |
项目资助者 | Nature Science Foundation of Beijing ; Peking University People's Hospital Research and Development Funds ; Ministry of Science and Technology of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences |
WOS研究方向 | Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000687950400005 |
出版者 | ELSEVIER IRELAND LTD |
七大方向——子方向分类 | 医学影像处理与分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/45915 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Tian, Jie; Wang, Yi |
作者单位 | 1.Peking Univ Peoples Hosp, Dept Radiol, 11 Xizhimen South St, Beijing 100044, Peoples R China 2.Xidian Univ, Sch Life Sci & Technol, 266 Xinglong Sect Xifeng Rd, Xian 710126, Shanxi, Peoples R China 3.Sichuan Univ, Dept Radiol, West China Hosp, 37 Guoxue Xiang St, Chengdu 610041, Sichuan, Peoples R China 4.Sun Yat Sen Univ, Dept Radiol, Affiliated Hosp 6, Guangzhou 510655, Peoples R China 5.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 6.Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China 7.Sun Yat Sen Univ, Dept Med Oncol, Affiliated Hosp 6, Guangzhou 510655, Peoples R China 8.Peking Univ Peoples Hosp, Dept Gastrointestinal Surg, 11 Xizhimen South St, Beijing 100044, Peoples R China 9.West China Hosp Sichuan Univ, Canc Ctr, Dept Med Oncol, 37 Guoxue Xiang St, Chengdu 610041, Sichuan, Peoples R China 10.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing 100191, Peoples R China 11.Xidian Univ, Engn Res Ctr Mol & Neuro Imaging Minist Educ, Sch Life Sci & Technol, Xian 710126, Peoples R China |
通讯作者单位 | 中国科学院自动化研究所; 中国科学院分子影像重点实验室 |
推荐引用方式 GB/T 7714 | Wei, Shengcai,Han, Yuqi,Zeng, Hanjiang,et al. Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy[J]. EUROPEAN JOURNAL OF RADIOLOGY,2021,142:8. |
APA | Wei, Shengcai.,Han, Yuqi.,Zeng, Hanjiang.,Ye, Shuai.,Cheng, Jin.,...&Wang, Yi.(2021).Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy.EUROPEAN JOURNAL OF RADIOLOGY,142,8. |
MLA | Wei, Shengcai,et al."Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy".EUROPEAN JOURNAL OF RADIOLOGY 142(2021):8. |
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