Prognostic value of early post-treatment 18F-FDG PET/CT in diffuse large B-cell lymphoma patients receiving chimeric antigen receptor T-cell therapy by Seyed Ali Mirshahvalad, Andres Kohan, Roshini Kulanthaivelu, Claudia Ortega, Ur Metser, David Hodgson, Robert Kridel, Christine Chen, Sita Bhella, Kelly Yuen Wai Chin, Patrick Veit-Haibach

“…For OS, serum LDH, delta SUVmean-to-liver ratio, delta percentage TLG, and one-month post-treatment Dmax were included in the multivariate analysis. The delta percentage TLG (HR = 4.37; p = 0.023) remained significant as an independent predictor of OS. …”
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Tumour surface regularity predicts survival and benefit from gross total resection in IDH-wildtype glioblastoma patients by Peng Lin, Jin-Shu Pang, Ya-Dan Lin, Qiong Qin, Jia-Yi Lv, Gui-Qian Zhou, Tian-Ming Tan, Wei-Jia Mo, Gang Chen

“…Sphericity was an independent predictor of OS in the discovery (p = 0.022, hazard ratio (HR) = 1.45, 95% confidence interval (CI) 1.06–1.99) and validation groups (p = 0.007, HR = 1.38, 95% CI: 1.09–1.74) according to multivariate analysis. Age, extent of resection, and surface regularity composed a prognostic model that separated patients into subgroups with distinct prognoses. …”
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Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature by Ting Yan, Zhenpeng Yan, Guohui Chen, Songrui Xu, Chenxuan Wu, Qichao Zhou, Guolan Wang, Ying Li, Mengjiu Jia, Xiaofei Zhuang, Jie Yang, Lili Liu, Lu Wang, Qinglu Wu, Bin Wang, Tianyi Yan

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CT feature-based nomogram for predicting tumor spread through air spaces in stage IA lung adenocarcinoma by Bin Luo, Han Yang, Ningbo Fan, Pengfei Duan, Zhesheng Wen, Peng Lin

“…Both univariate and multivariate logistic regression analyses were performed to determine independent variables among 16 clinicopathological and 13 CT imaging characteristics. …”
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Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study by Mengting Gu, Wenjie Zou, Huilin Chen, Ruilin He, Xingyu Zhao, Ningyang Jia, Wanmin Liu, Peijun Wang

“…Then a radiomics score (rad-score) was generated, which combined significant clinicoradiological predictors to constituted the fusion model through multivariate logistic regression analysis. After comparing the performance of the three models using area under receiver operating characteristic curve (AUC), integrated discrimination index (IDI) and net reclassification index (NRI), choose the optimal predictive model for VETC prediction. …”
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Distinguishing the roles of edge, color, and other surface information in basic and superordinate scene representation by Liansheng Yao, Qiufang Fu, Chang Hong Liu, Jianyong Wang, Zhang Yi

“…Here, we combined electroencephalogram (EEG) and multivariate pattern analysis (MVPA) methods to distinguish the roles of edge, color, and other surface information in scene representation at the basic category level and superordinate naturalness level over time. …”
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Direction and velocity kinematic features of point-light displays grasping actions are differentially coded within the action observation network by Settimio Ziccarelli, Antonino Errante, Leonardo Fogassi

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Assessing the impact of artifact correction and artifact rejection on the performance of SVM- and LDA-based decoding of EEG signals by Guanghui Zhang, Steven J. Luck

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The neural representation of body orientation and emotion from biological motion by Shuaicheng Liu, Lu Yu, Jie Ren, Mingming Zhang, Wenbo Luo

“…Additionally, results from multivariate pattern analysis and representational similarity analysis demonstrated that the lingual gyrus, precentral gyrus, and postcentral gyrus played a critical role in processing body orientation, whereas the lingual gyrus and extrastriate body area were crucial for processing emotion. …”
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Prognostic value of the pre-treatment SUVmax of 18F-FDG PET/CT combined with peripheral absolute lymphocyte in patients with newly diagnosed extranodal natural killer/T-cell lympho... by Xingmei Lu, Kate Huang, Peng Li, Yida Li, Xiuhuan Ji, Suidan Chen, Jianmin Li

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Effector general representation of movement goals in human frontal and parietal cortex by Ziyi Duan, Marissa H. Evans, Bonnie Lawrence, Clayton E. Curtis

“…We compared activity patterns during the planning period and used assumption-free multivariate searchlight analysis to identify brain regions that could decode the spatial goals of planned movements. …”
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Decoding the Narcissistic Brain by Zhiwei Zhou, Chengli Huang, Esther M. Robins, Douglas J. Angus, Constantine Sedikides, Nicholas J. Kelley

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Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study by Huanhuan Ren, Junhao Huang, Yao Huang, Bangyuan Long, Mei Zhang, Jing Zhang, Huarong Li, Tingting Huang, Daihong Liu, Ying Wang, Jiuquan Zhang

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Partial information transfer from peripheral visual streams to foveal visual streams may be mediated through local primary visual circuits by Andrea I. Costantino, Benjamin O. Pelzer, Mark A. Williams, Matthew J. Crossley

“…In contrast, higher visual areas resolved semantically distinct images. A functional connectivity analysis revealed foveal V1 connections to both peripheral V1 and later-stage visual areas. …”
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Development of modified multi-parametric CT algorithms for diagnosing clear-cell renal cell carcinoma in small solid renal masses by Pengfei Jin, Linghui Zhang, Hong Yang, Tingting Jiang, Chenyang Xu, Jiehui Huang, Zhongyu Zhang, Lei Shi, Xu Wang

“…Spearman's correlation analysis was performed to evaluate the relationship between SHR and HS. …”
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Acinar cell carcinoma of the pancreas: can CT and MR features predict survival? by Monica Cheng, Nikita Consul, Ryan Chung, Carlos Fernandez- del Castillo, Yasmin Hernandez-Barco, Avinash Kambadakone

“…On MRI, 88.9% (16/18) demonstrated diffusion restriction and 59.1% (13/22) with heterogenous enhancement. On multivariate analysis, the imaging presence of T1 hyperintensity (p = 0.02), hypoattenuating necrotic components (p = 0.02), and splenic vein invasion (p = 0.04) were associated with worse survival. …”
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How do the resting EEG preprocessing states affect the outcomes of postprocessing? by Shiang Hu, Jie Ruan, Pedro Antonio Valdes-Sosa, Zhao Lv

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Development and validation of a model based on preoperative dual-layer detector spectral computed tomography 3D VOI-based quantitative parameters to predict high Ki-67 proliferatio... by Dan Zeng, Jiayan Zhang, Zuhua Song, Qian Li, Dan Zhang, Xiaojiao Li, Youjia Wen, Xiaofang Ren, Xinwei Wang, Xiaodi Zhang, Zhuoyue Tang

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Characteristics of 18F-FAPI-04 PET/CT in patients with peritoneal metastasis and to predict treatment efficacy, a head-to-head comparison with 18F-FDG PET/CT by Yafei Zhang, Mimi Xu, Yu Wang, Fang Yu, Xinxin Chen, Guangfa Wang, Kui Zhao, Hong Yang, Xinhui Su

“…Multivariate analysis identified SUVmax as an independent predictor (OR = 1.354, 95%CI:1.025–1.788, P = 0.033). …”
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Development of the relationship between visual selective attention and auditory change detection by Yuanjun Kong, Xuye Yuan, Yiqing Hu, Bingkun Li, Dongwei Li, Jialiang Guo, Meirong Sun, Yan Song

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