Deep learning radiomics and mediastinal adipose tissue-based nomogram for preoperative prediction of postoperative‌ brain metastasis risk in non-small cell lung cancer by Ye Niu, Hao-Bo Jia, Xue-Meng Li, Wen-Juan Huang, Ping-Ping Liu, Le Liu, Zeng-Yao Liu, Qiu-Jun Wang, Yuan-Zhou Li, Shi-Di Miao, Rui-Tao Wang, Ze-Xun Duan

“…Model performance was assessed via area under the receiver operating characteristic curve (AUC), calibration plots, integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA). Results Multivariate analysis identified N stage, EGFR mutation status, MFA, and DLBMS as independent predictors of BM. …”
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In vivo serotonin 1A receptor distribution in treatment-resistant depression by Matej Murgaš, Christian Milz, Peter Stöhrmann, Jakob Unterholzner, Lukas Nics, Georg S. Kranz, Andreas Hahn, Marcus Hacker, Siegfried Kasper, Rupert Lanzenberger, Godber M. Godbersen

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Effects of material properties and environmental conditions on the adhesion performance and failure mode of CRMA by Zixuan Chen, Dai Yi, Hongfei Zhang, Dongliang Hu, Jianzhong Pei

“…This study investigates the effects of intrinsic material properties and environmental conditions on the adhesion behavior of crumb rubber modified asphalt (CRMA), utilizing the pull-off strength tests and image recognition methodologies. Multivariate analysis of variance (ANOVA) was conducted using SPSS software to statistically evaluate the significance of the effects of different material properties and environmental conditions on the adhesion performance of CRMA.The findings reveal that the adhesion strength between CRMA and aggregates decreases gradually with an increase in crumb rubber content. …”
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Investigation for Factors Affecting Body Perception Disturbance in Patients with Low Back Pain by Mechanism-Based Classification of Pain: A Cross-Sectional Study by Yoshito Kurashima, Takumi Nakamura, Taishi Mukaiyama, Kenji Hasegawa, Hironobu Kuruma

“…Patients were divided into three groups according to the pathology of low back pain, and multivariate analysis was used to examine factors affecting body perception disturbance. …”
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Influence of age on gadoxetic acid disodium-induced transient respiratory motion artifacts in pediatric liver MRI. by Azadeh Hojreh, Ahmed Ba-Ssalamah, Christian Lang, Sarah Poetter-Lang, Wolf-Dietrich Huber, Dietmar Tamandl

“…The relation to age, gender, body mass index, indication for MRI, requirement for sedation, and MR repetition was investigated using uni- and multivariate logistic regression analysis.<h4>Results</h4>In Gd-EOB-DTPA-enhanced MRIs, TSM occurred in 24 examinations (10.6%). …”
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Development of a Nomogram Model to Predict the Risk of Pneumothorax after CT-guided Coaxial Core Needle Lung Biopsy: A Cross-sectional Study by Mahitha J Alapati, C Nellaiappan, S Kalpana, SK Gopibagya

“…Seven independent risk factors were determined among the assessed variables using multivariate logistic regression analysis, which included age, emphysema, pleural thickening, fissure traversed, patient position, size grade, and lesion depth. …”
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Real-time fMRI pattern decoding and neurofeedback using FRIEND: an FSL-integrated BCI toolbox. by João R Sato, Rodrigo Basilio, Fernando F Paiva, Griselda J Garrido, Ivanei E Bramati, Patricia Bado, Fernanda Tovar-Moll, Roland Zahn, Jorge Moll

“…The package integrates routines for image preprocessing in real-time, ROI-based feedback (single-ROI BOLD level and functional connectivity) and brain decoding-based feedback using SVM. …”
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Mental Health of Rhinoplasty Applicants: A Case Control Study by Oveis Mehriar, Farhad Asghari, Shadman Nemati, Abbas Sadeghi, Ali Faghih Habibi, Ghasem Salehpoor

“…A total of 136 rhinoplasty applicants and 136 individuals as the control were selected, using the availability sampling method, and investigated through a checklist of symptoms of the disease (Symptom Check List-90-Revised). The data analysis was performed using the one-variable and multivariate covariance analyses. …”
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The cross-sectional area of the erector spinae muscle is an adverse indicator for patient with acute exacerbation of chronic obstructive pulmonary disease by Shan Gong, Yankui Wu, Xin Huang, Nan Di, QiLan Wu, Guoping Hu

“…Poisson regression analysis showed that ESMCSA were associated with the rate of rehospitalization for AECOPD (IRR = 0.57, 95% CI 0.45–0.73 for univariate analysis, and IRR = 0.56, 95% CI 0.43-0.72for multivariate analysis). …”
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Survival prediction in gliomas based on MRI radiomics combined with clinical factors and molecular biomarkers by Min Hao, Junyu Yan, Xiaochun Wang, Yan Tan, Hui Zhang, Guoqiang Yang

“…The risk stratification value of the radiomics signature was explored using Kaplan-Meier survival analysis and the log-rank test. The integrated prediction model with selected clinical factors, molecular biomarkers, and radiomics features was constructed through multivariate Cox regression analysis. …”
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Predictive Factors for Gastrointestinal and Genitourinary Toxicities in Prostate Cancer External Beam Radiotherapy: A Scoping Review by Jerry C. F. Ching, Kelvin C. K. Liu, Isaac K. H. Pang, Alexander J. Nicol, Vincent W. S. Leung, Jing Cai, Shara W. Y. Lee

“…A total of 169 studies published between the years 2000 and 2024 (inclusive) were identified from four databases, with 127 and 78 studies investigating GI and GU toxicities, respectively. Univariate analysis was employed in 139 studies to identify predictors, while 94 studies involved multivariate analysis, 40 involved internal model validation, and 5 performed external model validation. …”
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Machine learning-based process quality control of screen-printed titanium dioxide electrodes by Anesu Nyabadza, Lola Azoulay-Younes, Mercedes Vazquez, Dermot Brabazon

“…Herein, machine learning methods including Random Forest (RF), Support Vector Machine (SVM), and Feedforward Neural Network (FNN) are used to address a quality control problem involving the classification of screen-printed TiO2 electrodes based on image data. Multivariate data analysis techniques such as factor analysis were employed to evaluate the effectiveness of the features extracted from these images. …”
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Chemical Profiling and Quality Assessment of Food Products Employing Magnetic Resonance Technologies by Chandra Prakash, Rohit Mahar

“…Multivariate analysis could help in managing and interpreting complex NMR data by reducing dimensionality and identifying patterns. …”
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The influence of social media and cultural ideals on body dysmorphic disorder among adult males in the UAE by Kholod Haj Hussain, Abdul Rahman Al Midani, Abdul Rahman Al Midani, Mohamad Abdallah, Aisha Alyassi, Haya Alzubaidy, Shahad Alrashed, Jibran Sualeh Muhammad, Hamid A. Alhaj

“…Participants who screened positive for BDD were significantly more likely to report physical discomfort (OR = 4.9, 95% CI: [1.5, 15.8], p = 0.005), concern about others’ perceptions of their bodies (OR = 3.9, 95% CI: [1.2, 12.3], p = 0.017), and interest in cosmetic surgery (OR = 5.8, 95% CI: [2.0, 16.4], p = 0.002). Multivariate analysis showed that perceived negative social media impact, specific cosmetic concerns, and lower BMI were independent predictors of BDD.ConclusionsThis study highlights the significant role of social media, cultural appearance pressures, and attitudes toward cosmetic surgery in the manifestation of BDD symptoms among males in the UAE. …”
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Emotional Eating and Body Misperception Among Dental Students From Romania–Implications for Targeted Interventions by Denis Mihai Serban, Ancuta Mioara Banu, Costela Lacrimioara Serban

“…Methods Utilizing the Emotional Eating Questionnaire and Pictorial Body Image Instrument, the study involved 300 dental students, of which 21.6% were male, with an obesity prevalence of 9.7%. …”
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Centella asiatica Nanoparticles as Potential Acetylcholinesterase Inhibitor for Cognitive Decline Therapy using Ellman's Method: An in Vitro Study by Nathania Nathania, Selvina Cindy Kusumaningrum, Reny I'tishom, Feranita Kumalasari, Ria Margiana

“…The results subsequently underwent descriptive analysis, particle distribution analysis, analysis of variance (ANOVA), nonparametric tests, image analysis, regression tests, multivariate analysis, and correlation tests. …”
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Development and validation of predictive models for distant metastasis and prognosis of gastroenteropancreatic neuroendocrine neoplasms by Xuan-Peng Zhou, Luan-Biao Sun, Wen-Hao Liu, Xin-Yuan Song, Yang Gao, Jian-Peng Xing, Shuo-Hui Gao

“…Abstract Imaging examinations exhibit a certain rate of missed detection for distant metastases of gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs). …”
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Predicting delayed diagnosis rate of intraoperative rapid frozen section pathological examination for early-stage breast cancer: a real-world retrospective study by XUE Jialei, LI Jianwei, GONG Yue, LIU Guangyu, LIU Zhebin

“…The intraoperative diagnosis rate of frozen section for breast cancers that were undiagnosed by core needle biopsy was 67.7%, and the DDR was 32.3%. In multivariate analysis, papillary lesion [odds ratio (OR)=4.251, 95% CI: 2.804-6.492; P&lt;0.001) and sclerosing adenosis (OR=3.727; 95% CI: 1.897-7.376; P&lt;0.001) accompanied by atypical epithelial hyperplasia on core needle biopsy (CNB) were positive correlation factors of delayed diagnosis, while clustered microcalcifications on mammography (OR=0.345; 95% CI: 0.216-0.543; P&lt;0.001) and ultrasonic category 4C-5 according to Breast Imaging Reporting and Data System (BI-RADS) (OR=0.250; 95% CI: 0.081-0.777; P=0.016) were positive correlation factors of intraoperative diagnosis. …”
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Multimodal radiomics integrating deep learning and clinical features for diagnosing multidrug-resistant tuberculosis in HIV/AIDS patients by Chang Song, Aichun Huang, Chunyan Zhao, Lemin Wen, Shulin Song, Yanrong Lin, Chaoyan Xu, Hangbiao Qiang, Qingdong Zhu

“…Results: Key predictors—platelet count and C-reactive protein—were identified through univariate and multivariate logistic regression analysis. The integrated model achieved the highest performance in both the training and validation set (AUC=0.943 and 0.899, respectively), significantly outperforming individual models. …”
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Associations between high-density lipoprotein cholesterol levels and computed tomography-defined low muscle mass in older adults and sex-related differences by Weixiao Zhang, Yongkang Liu, Yiping Zhang, Dingzhe Zhang, Jianhua Wang, Xiao Chen

“…The muscle area of the bilateral erector spinae muscles was measured at the T12 level on a single CT image. Linear regression analysis was used to evaluate the effects of related factors on muscle area. …”
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