Yicheng Mao

Wenzhou Medical University

*This is an algorithmically generated author record based on publicly available information.

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Wenzhou Medical University

Research Subjects

Liver & Colon Cancer

Research Interests

Yicheng Mao has a total of 23 co-authors. Here are the top co-authors by number of shared publications:

Bo Chen
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, P.R. China
23 shared publications
Fei Yao
The Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
23 shared publications
Gang Chen
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
23 shared publications
Haitao Yu
Department of Hepatobiliary Surgery, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
23 shared publications
Jinhuan Yang
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, P.R. China
23 shared publications
Jun Ma
Department of Epidemiology and Biostatistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, P.R. China
23 shared publications

Latest Publications

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Open Access
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Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S1 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Kaplan–Meier curves analysis between responders and nonresponders with unresectable HCC treated with lenvatinib monotherapy. (A) Kaplan–Meier curves of overall survival between responders and nonresponders; (B) Kaplan–Meier curves of progression-free survival between responders and nonresponders. Abbreviations: HCC, hepatocellular carcinoma; HR, hazard ratio.
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Figure S1 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Kaplan–Meier curves analysis between responders and nonresponders with unresectable HCC treated with lenvatinib monotherapy. (A) Kaplan–Meier curves of overall survival between responders and nonresponders; (B) Kaplan–Meier curves of progression-free survival between responders and nonresponders. Abbreviations: HCC, hepatocellular carcinoma; HR, hazard ratio.
Open Access
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table S6 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Comparison of predictive value of 10 machine learning algorithms for predicting the response to lenvatinib in the training and external validation cohorts.
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table S6 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Comparison of predictive value of 10 machine learning algorithms for predicting the response to lenvatinib in the training and external validation cohorts.
Open Access
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table S5 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Baseline characteristics between two different radiomics-based subtypes for unresectable HCC treated with lenvatinib monotherapy.
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table S5 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Baseline characteristics between two different radiomics-based subtypes for unresectable HCC treated with lenvatinib monotherapy.
Open Access
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table S1 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
The STARD/TRIPOD statement checklists.
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table S1 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
The STARD/TRIPOD statement checklists.
Open Access
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S2 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Representative segmentation of ROIs and primary CECT images of HCC patients that exhibited PR and PD. (A) Primary image and ROI (red region) marked image from a patient with PR; (B) Primary image and ROI (blue region) marked image from a patient with PD; (C) pretreatment and post-treatment CECT images from a patient who shows PR; (D) pretreatment and post-treatment CECT images from a patient who shows PD. Abbreviations: HCC, hepatocellular carcinoma; ROI, region of interest; CECT, contrast enhanced computed tomography; PR, partial response; PD, progressive disease.
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Figure S2 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Representative segmentation of ROIs and primary CECT images of HCC patients that exhibited PR and PD. (A) Primary image and ROI (red region) marked image from a patient with PR; (B) Primary image and ROI (blue region) marked image from a patient with PD; (C) pretreatment and post-treatment CECT images from a patient who shows PR; (D) pretreatment and post-treatment CECT images from a patient who shows PD. Abbreviations: HCC, hepatocellular carcinoma; ROI, region of interest; CECT, contrast enhanced computed tomography; PR, partial response; PD, progressive disease.
Open Access
Website
Google Scholar
Cited by 1
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table S2 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Essential scripts for each model and the specific parameters of the models.
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table S2 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Essential scripts for each model and the specific parameters of the models.
Cited by 1
Open Access
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S2 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Representative segmentation of ROIs and primary CECT images of HCC patients that exhibited PR and PD. (A) Primary image and ROI (red region) marked image from a patient with PR; (B) Primary image and ROI (blue region) marked image from a patient with PD; (C) pretreatment and post-treatment CECT images from a patient who shows PR; (D) pretreatment and post-treatment CECT images from a patient who shows PD. Abbreviations: HCC, hepatocellular carcinoma; ROI, region of interest; CECT, contrast enhanced computed tomography; PR, partial response; PD, progressive disease.
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Figure S2 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Representative segmentation of ROIs and primary CECT images of HCC patients that exhibited PR and PD. (A) Primary image and ROI (red region) marked image from a patient with PR; (B) Primary image and ROI (blue region) marked image from a patient with PD; (C) pretreatment and post-treatment CECT images from a patient who shows PR; (D) pretreatment and post-treatment CECT images from a patient who shows PD. Abbreviations: HCC, hepatocellular carcinoma; ROI, region of interest; CECT, contrast enhanced computed tomography; PR, partial response; PD, progressive disease.
Open Access
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table S4 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
The radiomics features extracted from CECT images.
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table S4 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
The radiomics features extracted from CECT images.
Open Access
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table S2 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Essential scripts for each model and the specific parameters of the models.
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table S2 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
Essential scripts for each model and the specific parameters of the models.
Open Access
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table S4 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
The radiomics features extracted from CECT images.
Website
Google Scholar
- 1 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table S4 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
by Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, Qikuan He, Yicheng Mao, Yunjun Yang, Fei Yao, Yi Yang, Ziyan Chen, Jinhuan Yang, et al.
The radiomics features extracted from CECT images.

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