导师简介

姜伟，男，40岁，中共党员，武汉大学硕士研究生，医学物理专业。现任烟台毓璜顶医院肿瘤放疗科医学物理师。烟台市青年联合会履职优秀委员、烟台市青年岗位能手、烟台毓璜顶医院技术创新奖一等奖、烟台毓璜顶医院中青年技术创新标兵、山东医学科技奖三等奖。主要研究方向：医学影像，人工智能，影像组学，大数据，放射治疗，各种肿瘤相关的治疗方法。

联系方式：8680003@qq.com   19853526677

教育背景：

2009.07-至今    烟台毓璜顶医院放射肿瘤科，医学物理师

2015.06-2016.10 美国MD安德森肿瘤中心、美国维吉尼亚大学医学中心，访问学者

2011.06-2012.02中国医学科学院肿瘤医院进修学习

2008.01-2009.06四川大学华西医院做研究生项目

2007.06-2007.08 人民解放军总医院（301医院）进修学习

2006.09-2009.07 武汉大学-医学物理专业 硕士研究生
社会兼职：

山东省抗癌协会放射肿瘤学分会青年委员会委员
山东省抗癌协会医学物理技术分会委员会委员
山东省医师协会肿瘤放疗医师分会物理技术亚专业委员委员
山东省医师协会肿瘤多学科综合治疗专业委员会委员会委员
中国生物医学工程学会精确放疗技术分会委员

科研情况：
(1)

Zheng, W.; Jiang, W.; Wu, Q.; Chen, J.; Zhang, Z.; Yu, S.; Guo, C. 共同第一作者Comparisons of Different Lymph Node Staging Systems for Predicting Overall Survival of Node-Positive Patients with Renal Cell Carcinoma: A Retrospective Cohort Study Using the Surveillance, Epidemiology and End Results Database. Bmj Open2023, 13 (4), e068044. https://doi.org/10.1136/bmjopen-2022-068044.

(2)

Qian, N.; Jiang, W.; Guo, Y.; Zhu, J.; Qiu, J.; Yu, H.; Huang, X. 共同第一作者Breast Cancer Diagnosis from Contrast-Enhanced Mammography Using Multi-Feature Fusion Neural Network. Eur Radiol2023. https://doi.org/10.1007/s00330-023-10170-9.

(3)

Ma, J.-B.; Chen, E.-C.; Song, Y.-P.; Liu, P.; Jiang, W.; Li, M.-H.; Yu, J.-M. Prognostic Significance of 18F-Fluorodeoxyglucose Positron Emission Tomography (PET)-Based Parameters in Neoadjuvant Chemoradiation Treatment of Esophageal Carcinoma. Asian Pacific Journal of Cancer Prevention2013, 14 (4), 2477–2481. https://doi.org/10.7314/APJCP.2013.14.4.2477.

(4)

Meng, Q.; Li, J.; Jiang, W.; Hu, B.; Xu, F.; Shi, X.; Zhong, R. Prediction of Proton Beam Range in Phantom with Metals Based on Monochromatic Energy CT Images. J Radiat Res2022, 63 (6), 828–837. https://doi.org/10.1093/jrr/rrac051.

(5)

Wu, X.; Guo, Y.; Sa, Y.; Song, Y.; Li, X.; Lv, Y.; Xing, D.; Sun, Y.; Cong, Y.; Yu, H.; Jiang, W. Contrast-Enhanced Spectral Mammography-Based Prediction of Non-Sentinel Lymph Node Metastasis and Axillary Tumor Burden in Patients With Breast Cancer. Front Oncol2022, 12, 823897. https://doi.org/10.3389/fonc.2022.823897.

(6)

Pan, Y.; Sheng, W.; Shi, L.; Jing, D.; Jiang, W.; Chen, J.-C.; Wang, H.; Qiu, J. 参与第五作者Whole Slide Imaging-Based Deep Learning to Predict the Treatment Response of Patients with Non-Small Cell Lung Cancer. Quant Imag Med Surg2023, 13 (6), 3547–3555. https://doi.org/10.21037/qims-22-1098.

(7)

Ma, J.; Wang, Z.; Wang, C.; Chen, E.; Dong, Y.; Song, Y.; Wang, W.; You, D.; Jiang, W.; Zang, R. Individualized Radiation Dose Escalation Based on the Decrease in Tumor FDG Uptake and Normal Tissue Constraints Improve Survival in Patients With Esophageal Carcinoma. Technol Cancer Res T2017, 16 (1), 75–80. https://doi.org/10.1177/1533034615627583.

(8)

Jiang, W.; Song, Y.; Sun, Z.; Qiu, J.; Shi, L. Dosimetric Factors and Radiomics Features Within Different Regions of Interest in Planning CT Images for Improving the Prediction of Radiation Pneumonitis. International Journal of Radiation Oncology*Biology*Physics2021, 110 (4), 1161–1170. https://doi.org/10.1016/j.ijrobp.2021.01.049.

(9)

Zhao, N.; Jiang, W.; Wu, H.; Wang, P.; Wang, X.; Bai, Y.; Li, Y.; Tang, Y.; Liu, Y. Clinical Features, Prognostic Factors, and Survival of Patients with Antisynthetase Syndrome and Interstitial Lung Disease. Front Immunol2022, 13, 872615. https://doi.org/10.3389/fimmu.2022.872615.

(10)

Li, G.; Jiang, W.; Li, Y.; Wang, Q.; Xiao, J.; Zhong, R.; Bai, S. Description and Evaluation of a New Volumetric-Modulated Arc Therapy Plan Complexity Metric. Med Dosim2021, 46 (2), 188–194. https://doi.org/10.1016/j.meddos.2020.11.004.

(11)

Du, W.; Johnson, J. L.; Jiang, W.; Kudchadker, R. J. On the Selection of Gantry and Collimator Angles for Isocenter Localization Using Winston‐Lutz Tests. J Appl Clin Med Phys2016, 17 (1), 167–178. https://doi.org/10.1120/jacmp.v17i1.5792.

(12)

Du, W.; Gao, S.; Jiang, W.; Kudchadker, R. J. Independent Evaluation of the Effectiveness of IsoCal in Improving Image Center Accuracy on Varian TrueBeam and Clinac Machines. J Appl Clin Med Phys2018, 19 (5), 483–490. https://doi.org/10.1002/acm2.12402.

主持课题

1.山东省医务职工科技创新计划项目：乳腺癌非前哨淋巴结转移预测模型

2.烟台市科技发展计划项目：基于人工智能（AI）的乳腺癌放疗靶区个体化精准自动勾画系统的研究