Removing facial features from structural MRI images biases visual quality assessment. by Céline Provins, Élodie Savary, Thomas Sanchez, Emeline Mullier, Jaime Barranco, Elda Fischi-Gómez, Yasser Alemán-Gómez, Jonas Richiardi, Russell A Poldrack, Patric Hagmann, Oscar Esteban

“…This introduces undesired variability into downstream analysis and interpretation. This registered report investigated the degree to which the so-called defacing altered the quality assessment of T1-weighted images of the human brain from the openly available "IXI dataset". …”
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Characterizing anterior and posterior circulation strokes using high-resolution magnetic resonance imaging by Hongshan Chu, Shibo Dong, Yuan Zhang, Hongyu Hao, Ruisheng Duan, Xing Xing, Nan Yin, Jin An, Ya Gao, Xiangjian Xiao

“…Differences in HbA1c, fibrinogen levels, and plaque enhancement were observed between ACS and PCS (P < 0.001; P = 0.033; P = 0.03). Multivariable analysis identified smoking (P = 0.048; OR: 1.96, 95 % CI: 1.01–3.81) and uric acid levels (P = 0.022; OR: 0.996, 95 % CI: 0.993–0.999) as independent factors associated with non-positive remodeling. …”
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Assessment of Relationship between Land Use Pattern and Spatial Distribution of Water Quality at the Watershed Scale: A Case Study of Maroon River Sub-basin by Fariba Hedayatzadeh, Alireza Ildoromi, Nasrin Hasanzadeh, Nader Bahramifar, Mahdi Banaee

“…Then, using geographic information system and multivariate statistical techniques, the effects of land use on river water quality in the Maroon sub-basin were estimated. …”
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Glymphatic dysfunction in classical trigeminal neuralgia: DTI-ALPS index stratification from healthy controls to post-MVD by Xiaolin Hou, Bo Wu, Ruxiang Xu, Cheng Yin

“…Abstract Background The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index is a non-invasive marker of glymphatic function. …”
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Sensitive Wavelengths Selection in Identification of Ophiopogon japonicus Based on Near-Infrared Hyperspectral Imaging Technology by Zhengyan Xia, Chu Zhang, Haiyong Weng, Pengcheng Nie, Yong He

“…The results indicate that wavelengths selection methods are tools to identify more concise and effective spectral data and play important roles in the multivariate analysis, which can be used for subsequent modeling analysis.…”
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Gender and age determination through linear and volumetric measurements of the sphenoid sinus using CBCT images by Isabela Inoue Kussaba, Vitor Menani Sergi, Elen Tolentino, Wilton Takeshita, Lilian Cristina Vessoni Iwaki, Mariliani Chicarell da Silva

“…The sinus volume was calculated using a formula (a multivariate discriminant analysis) and a software program, and the results were compared. …”
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Late time window endovascular treatment for acute ischemic stroke: rethinking the role of simplified imaging by Zongjie Shi, Sujie Zheng, Xinzhao Jiang, Xu Wang, Yu Geng

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Analyzing Trends in Demographic, Laboratory, Imaging, and Clinical Outcomes of ICU-Hospitalized COVID-19 Patients by Mohsen Gholinataj Jelodar, Shahab Rafieian, Azadeh Allah Dini, Fatemeh Khalaj, Samira Zare, Hanieh Dehghanpour, Samaneh Mirzaei

“…Age, DM, HTN, dyslipidemia, CKD, cerebral vascular accident (CVA), cerebral hemorrhage, and cancer were reported to be significantly different between these two groups of patients, indicating an increase in the rate of intubation and mortality among these patients. Furthermore, the multivariate logistic regression analysis revealed that DM, HTN, CKD, CVA, neutrophil-to-lymphocyte ratio (NLR), the percentage of lung involvement, and initial O2 saturation significantly increase the mortality of ICU patients. …”
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Efficacy of integrative psychotherapy group therapy on identity crisis and self-image in people with gender dysphoria by Somayeh Fakorian, Mohsen Golparvar, Sima Andalib

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Clinical-imaging and therapeutic evaluation of nodule-mass pulmonary cryptococcosis and pneumonia-type pulmonary cryptococcosis by Yanli Zhang, Ling Liu, Wei Li, Chao Ran

“…While CT malignant signs were more common in nodule-mass PC (66.7% vs. 12.5%, P < 0.001). Multivariate logistic regression analysis showed respiratory symptoms, inflammatory response, bilateral distribution, and malignant CT signs were independent discriminators, with moderate areas under the curve (AUC, 0.760–0.809). …”
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Evaluation of risk factors for acute stroke using combined CTA and MR HR-VWI imaging by Lin Chen, Qian Guo, JiXiu Zhao, Haihua Bao, FanYin Meng, Li Meng

“…Additionally, the acute stroke group exhibited greater plaque thickness (4.4 ± 1.4 vs. 2.9 ± 0.9 mm, p &lt; 0.001), higher prevalence of severe stenosis (45.8% vs. 4.0%, p = 0.001), and more frequent ulcerated or irregular plaque surfaces (29.2% vs. 8.0%, p = 0.038). (2)Predictive Efficacy of PFD: In predictive analyses, symptomatic-side PFD showed superior performance in identifying acute ischemic events (AUC = 0.762, 95% CI: 0.653–0.870) compared to contralateral PFD (AUC = 0.672) and ΔPFD (AUC = 0.660). (3)Association with Plaque Components: Multivariate regression analysis revealed significant associations between symptomatic-side PFD and key plaque characteristics: intraplaque hemorrhage (IPH; β = 0.367, p &lt; 0.001), lipid-rich necrotic core (LRNC; β = 0.190, p = 0.046), and plaque thickness (β = 0.225, p = 0.027). …”
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Functional Liver Imaging Score to Predict Clinically Significant PHLF for Hepatocellular Carcinoma After Resection by Zheng X, Zhang Y, Huang H, Luo N

“…Predictive performance was assessed by the area under receiver operator characteristic curves (AUC).Results: Clinically significant PHLF occurred in 7.7% of the development cohort and 7.2% of the internal validation cohort. Multivariate analysis identified FLIS, major resection and ALBI score as independent predictors of clinically significant PHLF, and a model combining these three variables predicted failure in the development cohort (AUC 0.746, 95% CI 0.673– 0.820) and internal validation cohort (AUC 0.717, 95% CI 0.595– 0.838). …”
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Influence of Body Mass Index on Radiation Exposure Across Imaging Modalities in the Evaluation of Chest Pain by Brett W. Sperry, Mary Stefanie Vamenta, Satya Preetham Gunta, Randall C. Thompson, Andrew J. Einstein, Michelle Castillo, Priyanka D. Chaudhary, Luca I. Bremner, Yosef A. Cohen, Timothy M. Bateman, A. Iain McGhie

“…This study evaluated the impact of BMI on estimated radiation exposure across imaging modalities. Methods and Results This was a retrospective analysis of patients with concern for cardiac ischemia undergoing positron emission tomography (PET)/computed tomography (CT), cadmium zinc telluride single‐photon emission CT (SPECT) myocardial perfusion imaging, or coronary CT angiography (CCTA) using state‐of‐the‐art imaging modalities and optimal radiation‐sparing protocols. …”
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The Influence of E-Wom and Hospital Image on Patient Satisfaction and Loyalty at General Hospital Royal Prima Medan by Nadia Deva Sihombing, Chrismis Novalinda Ginting, Muhammad Faridz Syahrian

“…The analysis shows the influence of E-WOM on patient satisfaction, the influence of hospital image on patient satisfaction, and the influence of E-WOM on patient loyalty. …”
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Nondestructive Inspection of Thin Basalt Fiber Reinforced Composites Using Combined Terahertz Imaging and Infrared Thermography by Przemyslaw Lopato, Grzegorz Psuj, Barbara Szymanik

“…Then, a knowledge extraction based multivariate analysis of preselected features’ vector was carried out. …”
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Value of three-dimensional speckle-tracking imaging in assessing left atrial function in patients with cirrhotic cardiomyopathy by LI Siyu, ZHANG Yajun, JIANG Jia'nan, MA Jianmin, SUN Ruicong, HE Xiangqin

“…Compared with the CCM(-) group, the CCM(+) group had significant reductions in LA-GLS, LA-GRS, LA-GCS, and LAEF and significant increases in LAVmax, LAVImax, LAVmin, and LAVImin (t=2.637-16.307,P&lt;0.05). The multivariate logistic regression analysis showed that LA-GLS and LA-GRS were significantly associated with the onset of CCM (χ2=4.771,5.601,P&lt;0.05). …”
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The Influence of Body Image and Energy Intake on Nutritional Status in Adolescents at SMAN 1 Cirebon City, Indonesia by Farah Gustin Kurniasih, Muhammad Duddy Satrianugraha Wahidin, Duddy Fachrudin

“…Statistical analyses included univariate and multivariate analysis. Results: The findings indicate that most adolescents had a negative body image (60.1%), good energy intake (44.0%), and normal nutritional status (70.2%). …”
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Rapid Nondestructive Detection of Welsh Onion, Onion, and Chinese Chives Seeds Based on Hyperspectral Imaging Technology by Sisi Zhao, Danqi Zhao, Jiangping Song, Huixia Jia, Xiaohui Zhang, Wenlong Yang, Haiping Wang

“…In this paper, 1050 Welsh onion, onion, and Chinese chives seeds were used as materials, and their 400–1000 nm spectral images were collected for processing. Standard Normal Variable (SNV), Multivariate Scattering Correction (MSC), First-order Differential (FD), and Second-order Differential (SD) were used to denoise the spectral data. …”
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Acute kidney injury after multiphase imaging for lesions detected on hepatocellular carcinoma surveillance in patients with cirrhosis by Adnan Aman Khan, Yousaf Bashir Hadi, Jesse Martin Thompson, Justin Thomas Kupec

“…Multivariate logistic regression analysis revealed that inpatient status (p value = 0.015) and Model for End-Stage Liver Disease score (p value = 0.02) were independently linked to the development of AKI following imaging, while the type of imaging modality was not.Conclusions There is no difference in the risk of AKI after CT or MRI for evaluation of lesions identified on HCC surveillance. …”
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Prospective comparison of static versus dynamic images in abdominal ultrasound education - a randomised controlled trial by Johannes Matthias Weimer, Michael Eigenseher, Simon Alexander Stiehl, Dieter Nürnberg, Michael Ludwig, Marie Stäuber, Andreas Weimer, Roman Kloeckner, Klaus Dirks, Liv Lorenz, Holger Buggenhangen, Julia-Weinmann-Menke, Daniel Merkel

“…No significant differences were observed in the total score of normal findings (p = 0.08). Multivariate regression analysis identified “group allocation dynamic,” “experience with > 30 ultrasound examinations,” and “employment in internal medicine” as significant positive predictors (p < 0.01) of theory test performance. …”
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