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TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma
Published 2025-01-01“…Weilang Wang,1,* Qi Zhang,2,* Ying Cui,1,* Shuhang Zhang,1 Binrong Li,1 Tianyi Xia,1 Yang Song,3 Shuwei Zhou,1 Feng Ye,4 Wenbo Xiao,5 Kun Cao,6 Yuan Chi,7 Jinrong Qu,8 Guofeng Zhou,9,10 Zhao Chen,11 Teng Zhang,12 Xunjun Chen,13 Shenghong Ju,1 Yuan-Cheng Wang1 1Department of Radiology, Zhongda Hospital, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, School of Medicine, Southeast University, Nanjing, 210009, People’s Republic of China; 2Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, People’s Republic of China; 3MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, People’s Republic of China; 4Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China; 5Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People’s Republic of China; 6Department of Radiology, Peking University Cancer Hospital and Institute, Beijing, People’s Republic of China; 7Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, People’s Republic of China; 8Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, People’s Republic of China; 9Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China; 10Shanghai Institute of Medical Imaging, Shanghai, People’s Republic of China; 11Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China; 12Institute for Artificial Intelligence in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, People’s Republic of China; 13Department of Radiology, The People’s Hospital of Xuyi County, Huaian, Jiangsu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yuan-Cheng Wang, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, 87 Ding Jia Qiao Road, Nanjing, Jiangsu, 210009, People’s Republic of China, Tel +086 25 83272121, Fax +086 25 83311083, Email yuancheng_wang@seu.edu.cnPurpose: To develop and validate a predictive model for predicting six-month outcome by integrating pretreatment MRI features and one-month treatment response after TACE.Methods: A total of 108 patients with 160 hCCs from a single-arm, multicenter clinical trial (NCT03113955) were analyzed and served as the training cohort. …”
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Deep Learning and Radiomics in Triple-Negative Breast Cancer: Predicting Long-Term Prognosis and Clinical Outcomes
Published 2025-01-01“…Chen Cheng,1,* Yan Wang,2,3,* Jine Zhao,4,* Di Wu,1 Honge Li,5 Hongyan Zhao1 1Department of Ultrasound, Lianyungang Traditional Chinese Medicine Hospital, Lianyungang, 222004, People’s Republic of China; 2Department of Ultrasound, Lianyungang Municipal Oriental Hospital, Lianyungang, 222046, People’s Republic of China; 3Department of Ultrasound, Xuzhou Medical University Affiliated Hospital, Lianyungang, Jiangsu, 222061, People’s Republic of China; 4Department of Ultrasound, Donghai County People’s Hospital, Lianyungang, Jiangsu, 222300, People’s Republic of China; 5Department of Ultrasound, the First People’s Hospital of Lianyungang, Lianyungang, Jiangsu, 222061, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hongyan Zhao, Department of Ultrasound, Lianyungang Traditional Chinese Medicine Hospital, No. 160, Chaoyang Middle Road, Haizhou District, Lianyungang, 222004, People’s Republic of China, Tel +86 0518-85574003, Email zhaohongyanzhy01@126.comAbstract: Triple-negative breast cancer (TNBC) is a unique breast cancer subtype characterized by the lack of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression in tumor cells. …”
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Risk of All-Cause Mortality in Mild Chronic Obstructive Pulmonary Disease: Evidence From the NHANES III and 2007–2012
Published 2025-01-01“…Weifeng Zou,1,2,* Jie Ou,1,2,* Fan Wu,3,4,* Shan Xiao,5 Zhishan Deng,3 Haiqing Li,3 Zihui Wang,3 Gaoying Tang,3 Shuling Liu,1 Dong Ye,6 Dongshuang Zhu,2 Jinxing Hu,1 Pixin Ran3,4 1State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou, People’s Republic of China; 2Department of Pulmonary and Critical Care Medicine, Shufu County People’s Hospital, Kashgar region, Xinjiang, People’s Republic of China; 3State Key Laboratory of Respiratory Disease & Guangzhou Institute of Respiratory Health & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China; 4Guangzhou National Laboratory, Guangzhou, People’s Republic of China; 5Department of Pulmonary and Critical Care Medicine, Shenzhen Longgang District Central Hospital, Shenzhen, People’s Republic of China; 6Department of Internal Medicine, Guangdong Province Second People’s Hospital, Guangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Fan Wu; Pixin Ran, State Key Laboratory of Respiratory Disease & Guangzhou Institute of Respiratory Health & National Center for Respiratory Medicine & National Clinical Research Center for Respiratory Disease & The First Affiliated Hospital of Guangzhou Medical University, 195 Dongfeng Xi Road, Guangzhou, 510120, People’s Republic of China, Email wu.fan@vip.163.com; pxran@gzhmu.edu.cnBackground: It is unclear whether patients with Global Initiative for Chronic Obstructive Lung Disease stage 1 (mild) chronic obstructive pulmonary disease (COPD) have a higher risk of all-cause mortality than participants with normal spirometry results.Methods: We used the data from the National Health and Nutrition Examination Survey (NHANES) III and 2007– 2012, which included participants aged 20– 79 years, to investigate whether patients with mild COPD (whole population and subgroups) have a higher risk of all-cause mortality than participants with normal spirometry. …”
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Implementing Cancer Pain Management Training for Pharmacists Using the Kirkpatrick Evaluation Model
Published 2025-01-01“…Yu Liu,1 Yang Peng,2 Bimin Zhu,2 Zhihua Xia,1 Yonghua Yuan,3 Fujun Zhang4 1Department of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China; 2Department of Pharmacy, Dianjiang County People’s Hospital, Chongqing, 408300, People’s Republic of China; 3College of Pharmacy, Chongqing Medical University, Chongqing, 400016, People’s Republic of China; 4Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of ChinaCorrespondence: Fujun Zhang, Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, People’s Republic of China, Email cnzfj@cqmu.edu.cnPurpose: To develop a training program on cancer pain management for pharmacists and to evaluate the effectiveness of the training.Methods: The program developed a well-structured curriculum and subsequent evaluation of training effectiveness, guided by the Kirkpatrick four-tier evaluation model, including reaction, learning, behavior, and results. …”
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Effect of Esketamine on Cognitive Recovery After Propofol Sedation for Outpatient Colonoscopy: A Randomized Clinical Trial
Published 2025-01-01“…Deshan Liu,1,* Xiuchai Gao,2,* Yifen Zhuo,3,* Wanjie Cheng,4 Ying Yang,4 Xiaoyan Wu,4 Huobao Yang,5 Yusheng Yao4,5 1Department of Neurology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian, People’s Republic of China; 2Department of Anesthesiology, Fujian Xiapu County Hospital, Xiapu, Fujian, People’s Republic of China; 3Department of Anesthesiology, Xiamen Haicang Hospital, Xiamen, Fujian, People’s Republic of China; 4Department of Anesthesiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian, People’s Republic of China; 5Fujian Provincial Key Laboratory of Critical Care Medicine, Fuzhou, Fujian, People’s Republic of China*These authors contributed equally to this workCorrespondence: Huobao Yang; Yusheng Yao, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, 134 Dongjie Street, Fuzhou, Fujian, 350001, People’s Republic of China, Email paulyang003@fjmu.edu.cn; fjslyys@126.comPurpose: While esketamine shows promise as an adjunct in procedural sedation, its impact on postoperative cognitive recovery remains incompletely characterized. …”
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Transcript Changes of Placental Tissue in Gestational Diabetes Mellitus Based on Transcriptome Sequencing
Published 2025-01-01“…Yun Sun,1,* Yi Wang,1,* Chao Liu,2 Jie Yang,3 Qinwen Li,1 Fei Zhao1 1Department of Obstetrics, The Affiliated Taian City Central Hospital of Qingdao University, Taian, People’s Republic of China; 2Department of Obstetrics, Taian Maternal and Child Care Health Hospital, Taian, People’s Republic of China; 3Department of Gynaecology and Obstetrics, Liangshan County People’s Hospital, Jining, People’s Republic of China*These authors contributed equally to this workCorrespondence: Qinwen Li; Fei Zhao, Department of Obstetrics, Taian Central Hospital (Taian Central Hospital affiliated to Qingdao University, Mount Taishan Medical Center), No. 29, Longtan Road, Mount Taishan District, Taian, Shandong, 271000, People’s Republic of China, Tel +86-13505482692, Email lqw81@126.com; 13505482692@163.comPurpose: This study aims to identify key genes that may be involved in the pathogenesis of gestational diabetes mellitus and to preliminarily elucidate the underlying mechanisms.Methods: High-throughput transcriptome sequencing was employed to identify Differentially expressed genes (DEGs) in placental tissue samples of GDM and normal pregnant women. …”
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New Option for Antibiotic Susceptibility Testing in Clinical Practice: Performance Evaluation of AutoMic-i600 Automatic System Based on Broth Microdilution Method
Published 2025-01-01“…Chenyao Lin,1 Hui Zhang,2 Qiaoping Wu,1 Xuedan Qiu,1 Qingcao Li,1 Guangliang Wu3 1Department of Clinical Laboratory, The Affiliated LiHuiLi Hospital of Ningbo University, Ningbo, People’s Republic of China; 2Department of Clinical Laboratory, Ninghai County Chengguan Hospital, Ningbo, People’s Republic of China; 3Department of Clinical Pharmacy, The Affiliated LiHuiLi Hospital of Ningbo University, Ningbo, People’s Republic of ChinaCorrespondence: Qingcao Li, Department of Clinical Laboratory, The Affiliated LiHuiLi Hospital of Ningbo University, 57 Xingning Road, Ningbo, Zhejiang, 315000, People’s Republic of China, Tel +86 139-8931-6035, Email lqc_lab@163.com Guangliang Wu, Department of Clinical Laboratory, The Affiliated LiHuiLi Hospital of Ningbo University, 57 Xingning Road, Ningbo, Zhejiang, 315000, People’s Republic of China, Tel +86 137-7709-1293, Email Lwuguang0313@163.comBackground: The emergence of multidrug-resistant bacteria limits antibiotic efficacy, making accurate antimicrobial susceptibility testing (AST) essential for clinical decisions. …”
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High-resolution Observations of an X-1.0 White-light Flare with Moving Flare Ribbons
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