Intravoxel Incoherent Motion (IVIM) Diffusion-Weighted Imaging (DWI) in Patients with Liver Dysfunction of Chronic Viral Hepatitis: Segmental Heterogeneity and Relationship with Ch... by Lei Ding, Lianxiang Xiao, Xiangtao Lin, Chunmei Xiong, Lingbo Lin, Shijun Chen

“…IVIM DWI (seven different b values) was performed on a Siemens 3.0-T MRI scanner. Pure molecular diffusion (D), pseudodiffusion (D∗), and perfusion fraction (f) in different liver segments were evaluated. …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan, Nawal Aswan B. Abdul Jalil

“…The data acquisition stage involved collecting FRF signals from the accelerometers to capture vibrations and responses related to the identified faults using a Siemens LMS SCADAS data acquisition unit. The data underwent preprocessing, including the application of principal component analysis (PCA) for feature selection. …”
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Discordance between 90Y-PET/CT(MR)-estimated activity and dose calibrator measured administered activity: an international study in SIRT patients treated with resin and glass micro... by Thomas Carlier, Silvano Gnesin, Justin K. Mikell, Maurizio Conti, John O. Prior, Niklaus Schaefer, Maria del Sol Pérez Lago, Clément Bailly, Yuni K. Dewaraja, Thiago V. M. Lima

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Squared diffusion-weighted imaging for improving the detection of clinically significant prostate cancer by Birte Valentin, Lars Schimmöller, Matthias Boschheidgen, Tim Ullrich, Thomas Andreas Thiel, Alexandra Ljimani, Jan Philipp Radtke, Thomas Benkert, Peter Albers, Gerald Antoch, Hans-Jörg Wittsack, Michael Quentin

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Myocardium Assessment by Relaxation along Fictitious Field, Extracellular Volume, Feature Tracking, and Myocardial Strain in Hypertensive Patients with Left Ventricular Hypertrophy by Seyed Amir Mirmojarabian, Eveliina Lammentausta, Esa Liukkonen, Lauri Ahvenjärvi, Juhani Junttila, Miika T. Nieminen, Timo Liimatainen

“…Relaxation time mapping (T1, T1ρ, and TRAFF2 with 11.8 μT maximum radio frequency field amplitude) was performed at 1.5 T using a Siemens Aera (Erlangen, Germany) scanner equipped with an 18-channel body array coil. …”
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Reduced γ-Aminobutyric Acid and Glutamate+Glutamine Levels in Drug-Naïve Patients with First-Episode Schizophrenia but Not in Those at Ultrahigh Risk by Junjie Wang, Yingying Tang, Tianhong Zhang, Huiru Cui, Lihua Xu, Botao Zeng, Yu Li, Gaiying Li, Chunbo Li, Hui Liu, Zheng Lu, Jianye Zhang, Jijun Wang

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MR Imaging of Prostate Cancer: Diffusion Weighted Imaging and (3D) Hydrogen 1 (1H) MR Spectroscopy in Comparison with Histology by J. Yamamura, G. Salomon, R. Buchert, A. Hohenstein, J. Graessner, H. Huland, M. Graefen, G. Adam, U. Wedegaetner

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Feasibility analysis of non-electrocardiogram-triggered chest low-dose computed tomography using a kV-independent reconstruction algorithm for predicting cardiovascular disease ris... by Xiangming Wang, Ao Liu, Yan Zhao, Xianbo Yu, Yushuo Cao, Min Li, Jing Liu, Yu Du, Li Yang

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Your brain on art, nature, and meditation: a pilot neuroimaging study by Beatrix Krause-Sorio, Sergio Becerra, Prabha Siddarth, Stacey Simmons, Taylor Kuhn, Helen Lavretsky

“…The instructions were to meditate on the connection to a Universal Soul linked to a sense of expansion and universal connectedness (“one with everything”), which was prompted by a video of the galactic nebula that also controlled for the visual stimuli of the two other conditions.MethodsNine healthy adults (mean age = 29; range = 19–42; 5 women) underwent a block design fMRI scan using a Siemens 3T Prisma scanner. The blocks included (1) nature videos, (2) AI-generated digital art (“machine hallucinations” by Refik Anadol), and (3) videos of NASA Webb-produced images of galactic nebulas. …”
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Combined morphology and radiomics of intravoxel incoherent movement as a predictive model for the pathologic complete response before neoadjuvant chemotherapy in patients with brea... by Yunyan Zheng, Hui Zhang, Huijian Chen, Yang Song, Ping Lu, Mingping Ma, Mengbo Lin, Muzhen He

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Immune Profile Differences between IgG4-Related Diseases and Primary Sjögren’s Syndrome by Qin Y, Shang L, Wang Y, Feng M, Liang Z, Wang N, Gao C, Luo J

“…IgG subclasses (IgGSc) were detected using a Siemens BN P, and lymphocyte subsets were analyzed using flow cytometry. …”
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Evaluation of Metabolic Characteristics of Brain Tumours Utilising 31-Phosphorus MR Spectroscopy in 3T MRI: A Cross-sectional Study by Nivetha Kannan, Babu Peter Sathyanathan

“…The study included 32 patients diagnosed with brain tumours based on conventional MR imaging, followed by histopathology, and 10 normal healthy volunteers who underwent 31-Phosphorus MR spectroscopy using a customised birdcage 31-P dual-tuned head coil on a Siemens 3-Tesla MRI scanner (Rapid Biomedical, Wurzburg, Germany). …”
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Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-we... by Xingrui Wang, Zhenhui Xie, Xiaoqing Wang, Yang Song, Shiteng Suo, Yan Ren, Wentao Hu, Yi Zhu, Mengqiu Cao, Yan Zhou

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Effect of drinking water salinity on lactating cows’ water and feed intake, milk yield, and rumen physiology by A. Iritz, D. Espinoza, M.G. Taye, F. Salhab, Y. Portnik, U. Moallem, Y.A. Ben Meir

“…Therefore, we evaluated the effect of drinking water salinity in an electrical conductivity (EC) range of 400 to 1 000 micro Siemens (µS) / cm (TDS of 200 to 500 ppm) on lactating cows’ performance by artificially creating water EC > 400 µS/cm by adding NaCl. …”
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Association of iron deposition in MS lesion with remyelination capacity using susceptibility source separation MRI by Hyeong-Geol Shin, Woojun Kim, Jung Hwan Lee, Hyun-soo Lee, Yoonho Nam, Jiwoong Kim, Xu Li, Peter C.M. van Zijl, Peter A. Calabresi, Jongho Lee, Jinhee Jang

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Attitudes of radiologists and interns toward the adoption of GPT-like technologies: a National Survey Study in China by Tianyi Xia, Shijun Zhang, Ben Zhao, Ying Lei, Zebin Xiao, Bingwei Chen, Junhao Zha, Yaoyao Yu, Zhijun Wu, Chunqiang Lu, Tianyu Tang, Yang Song, Yuancheng Wang, Shenghong Ju

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TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma by Wang W, Zhang Q, Cui Y, Zhang S, Li B, Xia T, Song Y, Zhou S, Ye F, Xiao W, Cao K, Chi Y, Qu J, Zhou G, Chen Z, Zhang T, Chen X, Ju S, Wang YC

“…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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The impact of preliminary patient hydration on physiological [18F]PSMA-1007 uptake in the urinary bladder on PET/CT by T. L. Antonevskaya, A. I. Khalimon, O. V. Mukhortova, M. M. Khodzhibekova, A. I. Nikiforuk, D. D. Zubkov, G. F. Khamadeeva, D. Yu. Khodakova, T. N. Lazutina, I. V. Pylova, A. V. Leontyev, I. P. Aslanidi

“…Scans were performed using three different PET/CT-systems: GE Discovery IQ Gen 2 (USA), Siemens Biograph 64 mCT and Biograph 64 TruePoint (Germany). …”
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