Construction of a nomogram combining CEUS and MRI imaging for preoperative diagnosis of microvascular invasion in hepatocellular carcinoma by Feiqian Wang, Kazushi Numata, Akihiro Funaoka, Takafumi Kumamoto, Kazuhisa Takeda, Makoto Chuma, Akito Nozaki, Litao Ruan, Shin Maeda

“…The least absolute shrinkage and selection operator regression and multivariate logistic regression analysis were applied to optimize feature selection for the model. …”
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Deep learning for differential diagnosis of parotid tumors based on 2.5D magnetic resonance imaging by Wenfeng Mai, Xiaole Fan, Lingtao Zhang, Jian Li, Liting Chen, Xiaoyu Hua, Dong Zhang, Hengguo Li, Minxiang Cai, Changzheng Shi, Xiangning Liu

“…In the traditional model, univariate analysis identified statistically significant features, which were then used in multivariate logistic regression to determine independent predictors. …”
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Can intraoperative improvement of radial endobronchial ultrasound imaging enhance the diagnostic yield in peripheral pulmonary lesions? by Kazuki Nishida, Takayasu Ito, Shingo Iwano, Shotaro Okachi, Shota Nakamura, Basile Chrétien, Toyofumi Fengshi Chen-Yoshikawa, Makoto Ishii

“…Based on the R-EBUS findings before and after these procedures, patients were categorized into three groups: the improved R-EBUS image (n = 52), unimproved R-EBUS image (n = 69), and initial within-lesion groups (n = 242). …”
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Geographic variability in contemporary utilization of PET imaging for prostate cancer: a medicare claims cohort study by Stephan M. Korn, Zhiyu Qian, Hanna Zurl, Nathaniel Hansen, Klara K. Pohl, Daniel Stelzl, Filippo Dagnino, Stuart Lipsitz, Jianyi Zhang, Adam S. Kibel, Caroline M. Moore, Kerry L. Kilbridge, Shahrokh F. Shariat, Stacy Loeb, Hebert Alberto Vargas, Quoc-Dien Trinh, Alexander P. Cole

“…A secondary analysis included an interaction term for race to explore the effect of residence on PET imaging by racial group. …”
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Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma by Tao Chen, Jialiang Wen, Xinchen Shen, Jiaqi Shen, Jiajun Deng, Mengmeng Zhao, Long Xu, Chunyan Wu, Bentong Yu, Minglei Yang, Minjie Ma, Junqi Wu, Yunlang She, Yifan Zhong, Likun Hou, Yanrui Jin, Chang Chen

“…The model defined high- and low-risk groups successfully stratified prognosis of the entire cohort. Moreover, multivariable Cox analysis identified the model defined risk groups as an independent predictor for disease-free survival. …”
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Genital self-image and sexual distress in married women with and without sexual intimate partner violence experience in Iran by Maryam Farjamfar, Zeinab Hamzehgardeshi, Afsaneh Keramat, Masoud Yunesian, Mina Malary

“…Conclusion: Women with SIPV experiences had lower mean FGSIS scores and higher mean FSDS-R scores than those without such experiences. However, in multivariate analysis, only the FSDS-R score remained significantly associated with SIPV experience.…”
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A combined model based on lung CT imaging and clinical characteristics for the diagnosis of AIDS with infection of Talaromyces marneffei by Yang Lu, Xia Shi, Xiaofang Yu, Tangkai Qi, Fei Shan, Yinpeng Jin, Xuejun Ni, Feng Feng

“…Based on the final microbiological test results, they were divided into a group infected with TM and a group not infected with TM. Univariate and multivariate analyses were conducted on the lung CT imaging and clinical characteristics of these 225 patients. …”
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Correlation Between Dynamic Contrast-Enhanced CT Imaging Signs and Differentiation Grade and Microvascular Invasion of Hepatocellular Carcinoma by Liu Y, Zhou Y, Liao C, Li H, Zhang X, Gong H, Pu H

“…Regarding tumor differentiation, 56 patients were well-differentiated, 145 moderately, and 31 poorly. Multivariate logistic regression analysis was employed to establish a prediction model for variables showing significant differences. …”
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The use of diffusion-weighted magnetic resonance imaging and parametric response mapping for disease outcome prediction in nasopharyngeal carcinoma by Akarapong Teeraakaravipas, Napat Ritlumlert, Yothin Rakvongthai, Tunchanok Paprad, Chawalit Lertbutsayanukul, Nutchawan Jittapiromsak

“…Kaplan–Meier survival analysis, Cox regression, and multivariate models were used to determine predictive factors. …”
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Preoperative Prediction of a Rare and Highly Aggressive Subtype of Hepatocellular Carcinoma Based on Multimodal Imaging and Clinical Indicators by Chen K, Zhu Y, Liu H, Deng M, Kong W, Wang W

“…Serological and multimodal imaging characteristics were analyzed. Univariate and multivariate logistic regression analyses identified independent DPHCC predictors and built a nomogram. …”
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Three-dimensional speckle-tracking imaging for the prognosis of childhood-onset systemic lupus erythematosus: a pilot study by Xiaoyuan Feng, Ping Zhou, Yan Ding, Jing Peng, Tao Wang

“…The primary aim was severe disease activity, whereas the secondary objectives were growth failure, lupus nephritis, hypocomplementemia, and serious hematological issues.ResultsIn the multivariate analysis, GLS and LVtw emerged as significant indicators of severe disease activity (p = 0.028 and p = 0.047). …”
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Prognosticating axillary lymph node metastasis in breast cancer through integrated photoacoustic imaging, ultrasound, and clinical parameters by Zhibin Huang, Sijie Mo, Guoqiu Li, Hongtian Tian, Huaiyu Wu, Jing Chen, Mengyun Wang, Shuzhen Tang, Jinfeng Xu, Fajin Dong

“…De-Long test and ROC curve were used to evaluate and compare the diagnostic performance of the models. Results Multivariate analysis showed that maximum diameter, Ki67 expression, AUS report and SO2 levels were identified as significant risk factors for ALNM. …”
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Image‐Based Deep Learning Model for Predicting Lymph Node Metastasis in Lung Adenocarcinoma With CT ≤ 2 cm by Shang Liu, Zhen Gao, Li‐feng Shi, Han Xiao, Su Li, Meng Li, Zhong‐min Peng

“…The Lasso model was used to screen clinical and imaging features, and multivariate logistic regression analysis was used to analyze the relevant diagnostic factors to establish a diagnostic model for predicting LNM. …”
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Near-infrared hyperspectral imaging and robust statistics for in vivo non-melanoma skin cancer and actinic keratosis characterisation. by Lloyd A Courtenay, Innes Barbero-García, Saray Martínez-Lastras, Susana Del Pozo, Miriam Corral de la Calle, Alonso Garrido, Diego Guerrero-Sevilla, David Hernandez-Lopez, Diego González-Aguilera

“…This was then followed by tests concerning the homoscedasticity, and finally multivariate comparisons of sample variance. The analysis revealed that the spectral regions between 900.66-1085.38 nm, 1109.06-1208.53 nm, 1236.95-1322.21 nm, and 1383.79-1454.83 nm showed the highest differences in this regard, with <1% probability of these observations being a Type I statistical error. …”
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Exploring computerized tomography findings and ocular trauma score in open globe injuries: assessing imaging’s predictive value by Ezgi Karataş, Denizcan Özizmirliler, Ceren Durmaz Engin, Mustafa Barış, Ekrem Anıl Sarı, Ziya Ayhan

“…The prevalent CT findings included severe scleral irregularity or globe collapse (34.1%), dislocated crystalline lens (33.3%), and abnormal vitreous density (26.8%). Multivariate analysis revealed that severe scleral irregularity or globe collapse (Odds Ratio [OR] = 1.36, p = 0.006) and abnormal vitreous density (OR = 1.7, p < 0.001) were significantly associated with more advanced OTS stages (I or II), indicating more severe ocular trauma. …”
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Prediction of Body Image Dissatisfaction Based on Spiritual Intelligence and Socio-cultural Patterns in Women Attending Gyms in Yazd by Fahimeh Dehghani, Mahboubeh Atarnia, Seyed Kazem Alavi Langroudi

“…To analyze the data, Pearson correlation coefficient and multivariate regression analysis tests were run in SPSS, version 22. …”
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Serum chemokines combined with multi-modal imaging to evaluate atherosclerotic plaque stability in patients undergoing carotid endarterectomy by Xiaofan Yuan, Lei Guo, Hong Chen, Yang Gao, Fuqiang Guo, Jie Huang, Chuan Jiang, Zhenyu Wang

“…While CCL2 and CCL5 levels were positively associated, and CCL19 and CCL21 negatively associated, with LRNC volume. Multivariate analysis suggested that CXCL12 was an independent protective factor and LRNC volume as an independent risk factor for plaque vulnerability. …”
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Assessing various Infrared (IR) microscopic imaging techniques for post-mortem interval evaluation of human skeletal remains. by Claudia Woess, Seraphin Hubert Unterberger, Clemens Roider, Monika Ritsch-Marte, Nadin Pemberger, Jan Cemper-Kiesslich, Petra Hatzer-Grubwieser, Walther Parson, Johannes Dominikus Pallua

“…Hence, the spectral characterization of inorganic and organic compounds by the afore mentioned techniques, followed by analyses such as multivariate imaging analysis (MIAs) and principal component analyses (PCA), appear to be suitable for the post mortem interval (PMI) estimation of human skeletal remains.…”
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Abstract 006: Glenzocimab Is Associated With Less Haemorrhagic Transformation Using Artificial Intelligence Imaging In Mechanical Thrombectomy Patients by Andrea Comenducci, Adeline Meilhoc, Yannick Pletan, Sophie Binay, Gilles Avenard, Davide Carone, Alistair Perry, Rafael Namias, Olivier Joly, George Harston, Mikael Mazighi

“…In this sub‐analysis, Artificial Intelligence (AI) imaging biomarkers were used to assess efficacy of glenzocimab in the subgroup undergoing MT in the pooled phase 1b (dose escalation) and phase 2a (dose confirmation) studies. …”
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Application Value of an AI-based Imaging Feature Parameter Model 
for Predicting the Malignancy of Part-solid Pulmonary Nodule by Mingzhi LIN, Yiming HUI, Bin LI, Peilin ZHAO, Zhizhong ZHENG, Zhuowen YANG, Zhipeng SU, Yuqi MENG, Tieniu SONG

“…All patients underwent preoperative chest computed tomography (CT), and AI software was used to extract imaging feature parameters. Univariate analysis was used to screen significant variables; variance inflation factor (VIF) was calculated to exclude highly collinear variables, and LASSO regression was further applied to identify key features. …”
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