Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Abudumijiti Aibaidula"'
Autor:
Nijiati Kudulaiti MD, Huiwei Zhang MD, PhD, Tianming Qiu MD, PhD, Junfeng Lu MD, PhD, Abudumijiti Aibaidula PhD, Zhengwei Zhang MD, Yihui Guan MD, PhD, Dongxiao Zhuang MD, PhD
Publikováno v:
Molecular Imaging, Vol 18 (2019)
Purpose: We evaluated the relationship between isocitrate dehydrogenase 1 (IDH1) mutation status and metabolic imaging in patients with nonenhancing supratentorial diffuse gliomas using 11 C-methionine positron emission tomography ( 11 C-MET PET). Ma
Externí odkaz:
https://doaj.org/article/27164901bd254d748e7cda49b294ba33
Autor:
Aden Ka-Yin Chan, Riki Rui-Qi Zhang, Abudumijiti Aibaidula, Zhi Feng Shi, Hong Chen, Ying Mao, Ho Keung Ng
Publikováno v:
Glioma, Vol 1, Iss 5, Pp 168-174 (2018)
Background: Molecular markers including isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion have been incorporated into the World Health Organization (WHO) 2016 classification of diffuse gliomas for integrated diagnostic reporting. The prog
Externí odkaz:
https://doaj.org/article/be0fac52c05e460fad682161f1738851
Autor:
Luo, Huigao, Zhuang, Qiyuan, Wang, Yuanyuan, Abudumijiti, Aibaidula, Shi, Kuangyu, Rominger, Axel, Chen, Hong, Yang, Zhong, Tran, Vanessa, Wu, Guoqing, Li, Zeju, Fan, Zhen, Qi, Zengxin, Guo, Yuxiao, Yu, Jinhua, Shi, Zhifeng
Publikováno v:
In Laboratory Investigation April 2021 101(4):450-462
Autor:
Megan M. J. Bauman, Samantha M. Bouchal, Dileep D. Monie, Abudumijiti Aibaidula, Rohin Singh, Ian F. Parney
Publikováno v:
Neurosurg Focus
OBJECTIVE Glioblastoma (GBM) is a devasting primary brain tumor with less than a 5% 5-year survival. Treatment response assessment can be challenging because of inflammatory pseudoprogression that mimics true tumor progression clinically and on imagi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba1bb2607de22ce1da2fc0e194248a07
https://europepmc.org/articles/PMC9879623/
https://europepmc.org/articles/PMC9879623/
Autor:
Abudumijiti Aibaidula, Cori Fain, Luz Cumba Garcia, Mi-Yeon Jung, Aaron J. Johnson, Ian F. Parney
Publikováno v:
Neurosurgery. 69:117-117
Autor:
Mi-Yeon Jung, Abudumijiti Aibaidula, Desmond A Brown, Benjamin T Himes, Luz M Cumba Garcia, Ian F Parney
Publikováno v:
Neuro-Oncology Advances. 4
Background Glioblastoma (GBM), the most common primary brain tumor, has a median survival of 15–16 months. Immunotherapy is promising but GBM-mediated immunosuppression remains a barrier. GBMs express the interferon-gamma (IFN-γ)-responsive immuno
Autor:
Johnny S. H. Kwan, Qisheng Tang, Yifeng Bao, Ying Mao, Hong Chen, Zhifeng Shi, Rui Ryan Yang, Abudumijiti Aibaidula, Ho Keung Ng, Kay Ka-Wai Li
Publikováno v:
Brain Pathol
Giant cell glioblastoma (gcGBM) is a rare histological variant of GBM, accounting for about 1% of all GBM. The prognosis is poor generally though gcGBM does slightly better than the other IDH‐wild‐type GBM. Because of the rarity of the cases, the
Autor:
Jie Zhang, Fengping Zhu, Xiu Gong, Shuai Wu, Geng Xu, Shiwen Yuan, Hong Chen, Yan-Yan Song, Jinsong Wu, Dongxiao Zhuang, N U Farrukh Hameed, Weijun Tang, Ying Mao, Junfeng Lu, Zhong Yang, Abudumijiti Aibaidula, Tianming Qiu, Liangfu Zhou, Zeyang Li
Publikováno v:
SSRN Electronic Journal.
Autor:
Chun Qiuping, Abudumijiti Aibaidula, N U Farrukh Hameed, Hong Chen, Dinggang Shen, Chunming Mei, Jun Zhang, Feng Shi, Shuai Wu, Lei Jin, Yixin Ma, Junfeng Lu, Jinsong Wu
Publikováno v:
Neuro Oncol
Background Pathological diagnosis of glioma subtypes is essential for treatment planning and prognosis. Standard histological diagnosis of glioma is based on postoperative hematoxylin and eosin stained slides by neuropathologists. With advancing arti
Autor:
Dinggang Shen, Zhicheng Jiao, Junfeng Lu, Yuyun Xu, Lei Jin, Abudumijiti Aibaidula, Han Zhang, Jinsong Wu, Zhenyu Tang
Publikováno v:
IEEE Trans Med Imaging
Glioblastoma (GBM) is the most common and deadly malignant brain tumor. For personalized treatment, an accurate pre-operative prognosis for GBM patients is highly desired. Recently, many machine learning-based methods have been adopted to predict ove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aded97b05b9bb5d23d71a4be95ae48db
https://europepmc.org/articles/PMC7289674/
https://europepmc.org/articles/PMC7289674/