Development of early predictive models for malignant cerebral edema based on net water uptake and enhancement ratio from CTHUANG Lijun, LIAO Anyu, SHEN Xi, CAO Zehong, SHI Feng, ZHU Wusheng, CHENG Xiaoqing, LU Guangming137-142,159
Analysis of the occlusion site and length of intracranial atherosclerotic large vessel occlusion based on high-resolution MRICAO Chen, GUO Yu, XIA Shuang143-147
Predictive value of cerebral blood volume index in assessing the prognosis of stroke patients with anterior circulation large vessel occlusion in the extended time window after endovascular therapyNI Wenjing, SHEN Guangchen, YIN Zixin, MA Gao, CHU Yue, LU Shanshan, XU Xiaoquan, WU Feiyun148-153
Progress of radiomics combined with artificial intelligence in the diagnosis of carotid atherosclerotic plaque and ischemic strokeLIU Yusen, HUI Pinjing154-159
Research progress of artificial intelligence in predicting hemorrhagic transformation after acute ischemic strokeZHANG Yue, XIE Gang, LI Kang160-164
Multisystem involvement in patients with COVID-19 based on chest CT:a follow-up studyAN Ran, YAN Ying, WEI Wei, WEI Xuan, YANG Zhenghan, WANG Zhenchang165-171
A two-center study of a deep learning model based on enhanced CT to predict Ki-67 expression in gastrointestinal stromal tumorsLI Gen, LIU Kun, YU Haiyun, LIU Meng, YIN Xiaoping, LIU Yang, JI Qian172-177
Predicting response to neoadjuvant chemotherapy using a nomogram model based on baseline MRI in patients with locally advanced rectal cancerXU Min, CHENG Jinmei, ZHOU Chuanqinyuan, GUO Wenwen, CHEN Tianwu178-184
A study of T2 mapping of medial femoral condyle cartilage in healthy knee jointsCAO Nana, WANG Li, WAN Yeda, GUO Lin, HU Peng, HE Anwei185-189