Zobrazeno 1 - 10
of 1 384
pro vyhledávání: '"BAOSHENG LI"'
Autor:
Dan Han, Jinling Dong, Qifeng Wang, Baosheng Li, Jun Liu, Hui Liu, Bo Qiu, Wencheng Zhang, Hong Yang, Wenbin Shen, Yaowen Zhang, Xiangzhi Zhu, Yi Wang, Lei Wu, Hongfu Sun, Wei Huang
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background This study aimed to establish a consensus on the delineation of target volumes for neoadjuvant radiation therapy (nRT) in esophageal squamous cell carcinoma (ESCC) within China. Methods From February 2020 to June 2021, nine ESCC p
Externí odkaz:
https://doaj.org/article/7ae954e5d0a447b993a1cf445cadb47b
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 16, Pp n/a-n/a (2024)
Abstract Compressional and shear wave velocities of polycrystalline stishovite (SiO2) have been measured at simultaneous high pressures and temperatures up to 14.5 GPa and 800°C. By fitting velocities to the finite strain equations, the elastic modu
Externí odkaz:
https://doaj.org/article/075e05af059741768d4e557962c4a06d
Autor:
Baosheng Li, Raghu Murtugudde
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 15, Pp n/a-n/a (2024)
Abstract In recent decades, an increase in rainfall has been observed on the northwestern edge of the Indian summer monsoon (ISM; NWEISM). However, no studies have focused on model performances over NWEISM, which calls for an urgent evaluation of mod
Externí odkaz:
https://doaj.org/article/84c78c106a294b428c71a26278c257f4
Autor:
Yu Yang, Yan Yi, Zhongtang Wang, Shanshan Li, Bin Zhang, Zheng Sang, Lili Zhang, Qiang Cao, Baosheng Li
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background To predict pathological complete response (pCR) in patients receiving neoadjuvant immunochemotherapy (nICT) for esophageal squamous cell carcinoma (ESCC), we explored the factors that influence pCR after nICT and established a com
Externí odkaz:
https://doaj.org/article/bea3a0bf98be47058dbfaac1f0deba8e
Autor:
Chunyan Zheng, Zhe Li, Chuanxi Zhao, Xiaoyang Yin, Lei Feng, Zhongtang Wang, Chengxin Liu, Baosheng Li
Publikováno v:
Cell Death and Disease, Vol 14, Iss 12, Pp 1-12 (2023)
Abstract Radiotherapy is an important strategy in the comprehensive treatment of esophageal squamous cell carcinoma (ESCC). However, effectiveness of radiotherapy is still restricted by radioresistance. Herein, we aimed to understand the mechanisms u
Externí odkaz:
https://doaj.org/article/9a984369bd25496599fc9890cc717253
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-7 (2023)
Abstract The edge of a monsoon region is usually highly sensitive to climate change. Pakistan, which is located on the northern edge of the Indian monsoon, is highly vulnerable to heavy rainfall and has witnessed several debilitating floods exacerbat
Externí odkaz:
https://doaj.org/article/eebd39627c594361848af3af1205883b
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 171, Iss , Pp 116189- (2024)
Externí odkaz:
https://doaj.org/article/9ca8a911cf2c4c7981b4ab9e938e26b0
Autor:
Jun Wang, Baosheng Li
Publikováno v:
Precision Radiation Oncology, Vol 7, Iss 3, Pp 150-159 (2023)
Abstract Neutropenia is the most common hematological toxicity of concurrent chemoradiotherapy (CCRT), and leads to subsequent treatment delays and/or dose reductions. Neutropenia often advances to febrile neutropenia and serious infections, which ca
Externí odkaz:
https://doaj.org/article/7b4b2b220e5c4a77814a69fbe7dd9322
Publikováno v:
Radiation Oncology, Vol 18, Iss 1, Pp 1-11 (2023)
Abstract Background This study aims to validate the effectiveness of linear regression for motion prediction of internal organs or tumors on 2D cine-MR and to present an online gating signal prediction scheme that can improve the accuracy of MR-guide
Externí odkaz:
https://doaj.org/article/b191393febd84d81ae23cc69574440e7
Publikováno v:
Cancer Medicine, Vol 12, Iss 16, Pp 16734-16743 (2023)
Abstract Objectives This study aimed to integrate positron emission tomography/computed tomography (PET/CT) metrics and genetic mutations to optimize the risk stratification for diffuse large B‐cell lymphoma (DLBCL) patients. Methods The data of 94
Externí odkaz:
https://doaj.org/article/a314e23b99f641db96fab852ef557fee