Characteristics and factors associated with diameter deviation of rhexis reference circle generated by an image-guided system in cataract surgery: a cross-sectional study by Yabo Fu, Yulong Huang, Xiaobao Liu, Chishan Kang, Wenjie Wu, Qiong Li

“…The factors influencing diameter deviation were identified with univariate and multivariate linear regression. Subgroup analyses were conducted based on factors identified in the multivariate regression. …”
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Body composition parameters in initial CT imaging of mechanically ventilated trauma patients: Single‐centre observational study by Hans‐Jonas Meyer, Tihomir Dermendzhiev, Michael Hetz, Georg Osterhoff, Christian Kleber, Timm Denecke, Jeanette Henkelmann, Robert Werdehausen, Gunther Hempel, Manuel F. Struck

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Modeling Reductions in Liver Fat: Comparing Noninvasive Tests to Magnetic Resonance Imaging–Proton Density Fat Fraction by Santos Carvajal-Gonzalez, Theresa Tuthill, Vincent Wai-Sun Wong, Amy Lauren Ashworth, Zeid Kayali, Céline Fournier-Poizat, Neeta B. Amin

“…Background and Aims: Magnetic resonance imaging–proton density fat fraction (MRI-PDFF) is an accurate, noninvasive tool for diagnosing metabolic dysfunction–associated steatotic liver disease, but its feasibility is limited in routine clinical practice. …”
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Vessel wall imaging of vertebrobasilar artery configurations associated with posterior circulation infarction and high-risk atherosclerotic plaques by Jingtong Xiong, Yue Liu, Lingjun Mei, Chen Zhang, Jiying Xia, Honghai Chen, Xiaofeng Qu, Jianlin Wu

“…No statistical difference in VAH was observed between the PCI and non-PCI groups (P = .972). Multivariable logistic regression analysis revealed that high-risk plaque [odds ratio (OR) = 1.997 (1.039–3.837), P = .038], the mean diameter of bi-VAs [OR = 1.557(1.012–2.395), P = .044], and the grade of BA lateral position [OR = 1.416 (1.029–1.950), P = .033] were independent risk factors associated with PCI. …”
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Novel CT Image‐Based Intracerebral Bleeding Risk Score for Patients With Acute Ischemic Stroke Undergoing Thrombolysis by Shuangfang Fang, Hanhan Lei, Gareth Ambler, David J. Werring, Huapin Huang, Huiying Lin, Xiaomin Wu, Qinli Zhang, Xiuyan Han, Genshan Gao, Ronghua Chen, Jie Chen, Hangfeng Li, Jin Wei, Guangliang Chen, Jianhua Chen, Nan Liu, Hou‐wei Du

“…Methods and Results The predictive model was derived from 808 patients with AIS in the derivation cohort in Southeast China, based on multivariable logistic regression analysis. External validation was conducted in a validation cohort from Central China. …”
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Abstract 013: Infarct density: a novel imaging biomarker of long‐term functional outcome after endovascular thrombectomy by Christopher G. Favilla, Heta Patel, Mohammad Hossein Abassi, Jesse Thon, Michael T. Mullen, Scott E. Kasner, Jae W. Song, Stephanie Cummings, Steven R. Messe

“…The ROC analysis of the multivariate model with only clinical variables (age, sex, and NIHSS) yielded a good ability to distinguish patients with good and bad outcome (AUC = 0.77; 95% CI: 0.69 – 0.84). …”
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Rock mass integrity evaluation method of roadway surrounding rock mass based on borehole image acoustic radar data by Wang Jinchao, Han Zengqiang, Wang Chao, Zhang Guohua, Li Xiaobin

“…Firstly, by constructing a multivariate characteristic parameter analysis method for borehole rock mass structure, the multivariate characteristic parameter description of borehole rock mass structure can be achieved. …”
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The relationship between remote diffusion-weighted imaging lesions and the triglyceride-glucose index and clinical outcomes in patients with intracerebral hemorrhage by Lu Wang, Yu Gu, Guoliang Jiang, Chunyan Lei, Potao Zhang, Wen Jiang, Xinglong Yang, Ansong Jin, Qionghua Deng

“…Multivariate logistic regression analysis was used to evaluate the risk factors for DWI lesions and clinical outcomes.ResultsAmong 245 ICH patients included in this study, 46 (18.78%) had DWI lesions and 199 (81.22%) did not. …”
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Opportunistic retrospective assessment of HUAC, bone density, SFT and breast density on CT images and relationship with severity of COVID-19 by Mahmut Subasi, Mustafa Duger, Cengiz Erol, Irmak Durur-Subasi

“…Univariate/multivariate logistic regression analyses were applied for estimation of moderate/severe pneumonia. …”
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A nomogram combining clinical features, O-RADS US, and radiomics based on ultrasound imaging for diagnosing ovarian cancer by Wenting Xie, Yaoqin Wang, Zhongshi Du, Yijie Chen, Xiaohui Ke, Tingfan Wu, Zhilan Wang, Lina Tang

“…Combination nomogram model that integrates clinical features, O-RADS US, and radiomics based on ultrasound image analysis could predict ovarian malignancy with high diagnostic accuracy, indicating that this model might have a role in preoperative diagnosis for differentiating benign and malignant ovarian tumors.…”
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Stigma perceived by women following surgery for breast cancer by Lopamudra Tripathi, Soumitra Shankar Datta, Sanjit Kumar Agrawal, Sanjoy Chatterjee, Rosina Ahmed

“…Statistical Analysis Used: Univariate analysis followed by multivariate logistic regression was performed to find the risk factors of high levels of stigma related to body image. …”
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The Potential Prognostic Value of Dual-Imaging PET Parameters Based on 18F-FDG and 18F-OC for Neuroendocrine Neoplasms by Jiale Hou, Tingting Long, Yi Yang, Dengming Chen, Shuo Hu

“…Higher values for the 18F-FDG and 18F-OC volumetric parameters and the NETPET grade were adverse factors for PFS according to the dual-imaging PET parameters. In the multivariate survival analysis, the NETPET grade and SRE were predictors of PFS in NEN patients. …”
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Prostate cancer detection with transrectal in-bore MRI biopsies: impact of prostate volume and lesion features by Alexander Schaudinn, Harald Busse, Constantin Ehrengut, Nicolas Linder, Jonna Ludwig, Toni Franz, Lars-Christian Horn, Jens-Uwe Stolzenburg, Timm Denecke

“…In subgroup analyses of all features, the CDR of cs-PCa differed significantly between ranges of lesion size only (p < 0.001, largest for large lesions). In multivariable analysis, however, only PI-RADS score and PSA showed a significant association with a higher risk of cs-PCa. …”
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Clinical and imaging risk factors for early neurological deterioration and long-term neurological disability in patients with single subcortical small infarction by Xiao Feng, Meiherinisa Taiwakuli, Junyong Du, Wenhao Zhu, Shabei Xu

“…During hospitalization, 18 patients (6.2%) experienced END, and 29 patients (10%) had neurological disability at a median follow-up of 21.4 (16.7–25.2) months. Multivariate analysis showed the National Institutes of Health Stroke Scale (NIHSS) score(OR 1.43, 95% CI 1.19–1.73, P < 0.001), and neutrophil to high-density lipoprotein cholesterol ratio (NHR) (OR 1.28, 95% CI 1.02–1.60, P = 0.034) were independently associated with END. …”
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Advanced AI-driven detection of cinnamon powder adulteration using near-infrared spectroscopy and deep learning image recognition technique by Hao-Hsiang Ku, Ya-Chuan Liao, Ching-Ho Chi

“…In addition, the NIR-DL model, which utilizes deep learning-based multivariate classification methods for NIR spectral analysis, and the Image-DL model, which is based on deep learning for image recognition, were also established to analyze cinnamon powder samples. …”
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Automatic engagement of limbic and prefrontal networks in response to food images reflects distinct information about food hedonics and inhibitory control by Jason A. Avery, Madeline Carrington, John E. Ingeholm, Valerie Darcey, W. Kyle Simmons, Kevin D. Hall, Alex Martin

“…A data-driven clustering approach based on Representational Similarity Analysis partitioned food-responsive brain regions into two sub-networks based on their multivariate response to food pictures: a Prefrontal network composed of fronto-parietal brain regions and a Limbic network composed of cortico-limbic and sub-cortical brain regions. …”
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Predictive value of the combined use of computed tomography perfusion imaging and blood pressure levels for the prognosis of patients with acute ischemic stroke by Yunxia Qi, Bolin Liu, Yiying Wu, Yifeng Peng

“…All patients underwent computed tomography perfusion imaging, and image post-processing was performed. …”
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Hepatic iron overload in transfusion-dependent paediatric thalassemia (TDT) patients: association of magnetic resonance imaging with serum ferritin level by Anita Mehta, Samreen Parveen, Ankur Kumar, Kaleem Ahmad

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Predictive value of conventional ultrasonography combined with three-dimensional speckle tracking imaging for maturation of autologous arteriovenous fistulas in hemodialysis patien... by YUAN Yuan, LUO Peng, FENG Xue

“…After applying predefined inclusion criteria, 186 patients were stratified into 2 cohorts based on arteriovenous fistula (AVF) maturation status: the spontaneous maturation group (n=111) and the assisted maturation requirement group (n=75). Comparative analysis between the 2 cohorts was conducted using univariate and multivariate logistic regression for variable selection, leading to the construction of a predictive model (model1) for spontaneous AVF maturation. …”
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Bone Mineral Density and Intermuscular Fat Derived from Computed Tomography Images Using Artificial Intelligence Are Associated with Fracture Healing by Yilin Tang, Xiaodong Wang, Ming Li, Liang Jin

“…<b>Results:</b> Overall, 297 fractures from 53 patients (24 males; mean age: 53.83 ± 10.86 years) were included in this study. In multivariate regression analysis, a 1 standard deviation (SD) decrease in BMD was identified as an independent prognostic factor for reduced callus formation (odds ratio [OR] = 0.70, 95% confidence interval [CI] = 0.50–0.97), diminished volume increase (OR = 0.70, 95% CI = 0.51–0.96), and elevated poor fracture healing at follow-up (OR = 2.08, 95% CI = 1.38–3.13). …”
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