Predictive Factors for Morphological and Functional Improvements in Long-Lasting Central Serous Chorioretinopathy Treated with Photodynamic Therapy by Maciej Gawęcki, Krzysztof Kiciński, Jan Kucharczuk, Monika Gołębiowska-Bogaj, Andrzej Grzybowski

“…All SD-OCT measurements (central retinal thickness, macular volume, mean subfield thickness, subretinal fluid height, and subfoveal choroidal thickness) showed a significant reduction post PDT. A multivariate analysis proved better morphological outcome associations with a younger age and male gender and better visual gains achieved in patients without intraretinal abnormalities. …”
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The value of radiomics-based hyperdense middle cerebral artery sign in predicting hemorrhagic transformation in acute ischemic stroke patients undergoing endovascular treatment by Chundan Gong, Chundan Gong, Yun Liu, Wei Ma, Yang Jing, Li Liu, Yan Huang, Jinlin Yang, Chen Feng, Yuan Fang, Weidong Fang

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Prevalence, risk factors and metabolic profile of the non-obese and obese non-alcoholic fatty liver disease in a rural community of South Asia by M Masudur Rahman, Mazhar Haque, Md Golam Kibria, Hasina Begum, Nigar Sultana, Mahfuza Akhter, A H M Rowshon, Faruqe Ahmed, Mahmud Hasan

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Evaluation of perivascular fat density and residual false lumen formation following TEVAR in Stanford type B aortic dissection by Xin He, Xin He, Yubin Zhong, Yubin Zhong, Hua Cao, Hua Cao, Zhangbo Cheng, Zhangbo Cheng

“…ROC curve analysis revealed optimal cut-off values for predicting residual false lumen: HUΔ > 7.170 (sensitivity 0.895, specificity 0.762) and HUratio ≤ 0.790 (sensitivity 0.947, specificity 0.667).ConclusionsPVAT attenuation, reflected by HUΔ and HUratio, serves as a significant, non-invasive imaging biomarker for predicting residual false lumen formation after TEVAR in TBAD patients. …”
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A 20-feature radiomic signature of triple-negative breast cancer identifies patients at high risk of death by Humaira Noor, Yuanning Zheng, Adam B. Mantz, Ryle Zhou, Andrew Kozlov, Wendy B. DeMartini, Shu-Tian Chen, Satoko Okamoto, Debra M. Ikeda, Melinda L. Telli, Allison W. Kurian, James M. Ford, Shaveta Vinayak, Mina Satoyoshi, Vishal Joshi, Sarah A. Mattonen, Kevin Lee, Olivier Gevaert, George W. Sledge, Haruka Itakura

“…The TS distinguished patients with high-risk for death in multivariate survival analysis (Transcriptomic cohort: [HR] = 13.6, 95% confidence interval [CI] = 1.56-1, p = 0.02; SCAN-B cohort: HR = 1.45, CI 1.04-2.03, p = 0.02). …”
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FRID-PI: a machine learning model for diagnosing fracture-related infections based on 18F-FDG PET/CT and inflammatory markers by Mei Yang, Quanhui Tan, Tingting Li, Jie Chen, Weiwei Hu, Yi Zhang, Xiaohua Chen, Jiangfeng Wang, Chentian Shen, Zhenghao Tang

“…In the training cohort, the Least Absolute Shrinkage and Selection Operator (LASSO) regression model analysis and multivariate Cox regression analysis were utilized to identify predictive factors for FRI. …”
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Lipidomic signatures of ventilator-associated pneumonia in COVID-19 ARDS patients: a new frontier for diagnostic biomarkers by Arthur Kassa-Sombo, Charles Verney, Augustin Pasquet, Julien Vaidie, Deborah Brea, Virginie Vasseur, Adeline Cezard, Antoine Lefevre, Camille David, Eric Piver, Lydie Nadal-Desbarats, Patrick Emond, Hélène Blasco, Mustapha Si-Tahar, Antoine Guillon

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Transabdominal ultrasound for the characterization and follow-up of cystic pancreatic lesions by Julian Seelig, Maria Heni, Max Seitzinger, Kien Vu Trung, Jürgen Feisthammel, Marcus Hollenbach, Robert Henker, Albrecht Hoffmeister, Jonas Rosendahl, Valentin Blank, Thomas Karlas

“…TAUS could be a cost-effective and patient-friendly imaging method for the surveillance of CPL in selected patients.…”
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The correlation between Fischer’s ratio and the risk of cardiac dysfunction in heart failure patients by Qing Fen Zhou, Fan Yang, Qiu Ya Lu, Feng Ru Zhang, Bin Qu, Lin Lu

“…The logistic regression analysis was conducted to measure the FR index and the risk of cardiac dysfunction, and further confirmed by receiver-operating characteristic curves (ROC curve) analysis. …”
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Evaluating IL22RA1 expression as a predictive indicator in human colon cancer progression by Xuan Yin, Renhao Geng, Junjun Chen, Bin Xu, Hui Ma, Yingting Liu, Xiao Zheng, Lujun Chen

“…Cox multivariate regression analysis identified high IL22RA1 expression in tumor cells as an independent risk factor for poor prognosis (HR = 2.726, 95% CI: 1.190–6.242, P = 0.018). …”
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Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

“…Univariate and multivariate logistic regression analysis were performed to identify the CFs that were independently associated with pCR. …”
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Muscle fat content correlates with postoperative survival of viral-related cirrhosis patients after the TIPS: a retrospective study by Sai Li, Yong Li, Chunhui Zhou, Haiping Li, Yazhuo Zhao, Xiaoping Yi, Changyong Chen, Changli Peng, Tianming Wang, Fei Liu, Juxiong Xiao, Liangrong Shi

“…The primary endpoint was set as death within 1 year after TIPS. Multivariate Cox regression was performed to determine the factors associated with mortality.Results The Cox regression analysis revealed that the lower PMFI was associated with a lower risk of all-cause mortality after TIPS (hazard ratio [HR] 1.159, 95% confidence interval [CI] 1.063–1.263, p = 0.001). …”
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Association between carotid plaque calcification and clinical outcomes of symptomatic cerebral small vessel disease by Jing Zhang, Jing Zhang, Shuo Zhao, Shuo Zhao, Shuo Zhao, Xunyao Hou, Xunyao Hou, Xinyao Wang, Xinyao Wang, Yunliang Guo, Yunliang Guo, Ximing Wang

“…Key confounding variables (age, sex, hypertension, diabetes mellitus, hyperlipidemia, coronary heart disease, smoking history, drinking history, ulceration, positive remodeling and positive soft plaque) were adjusted in multivariate analysis. The areas under the curve (AUC) of receiver operating characteristic (ROC) curves were used to analyze predictive performance of various radiological variables for CSVD outcomes.ResultsA total of 129 patients with poor outcomes and 81 with good outcomes were analyzed. …”
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Chorioretinal microvascular changes in slow flow coronary phenomenon: a multi-center study by MohammadHossein MozafaryBazargany, Elias Khalili Pour, Ali Shamsedini, Seyed Ali Banifatemeh, Amir Azimi, Amir Manavishad, Saeed Sadr, Parham Sadeghipour, Ata Firouzi, Armin Elahifar, Mohammadreza Baay, Mohammad Javad Alemzadeh-Ansari, Zahra Mahdizad, Hooshang Faghihi, Hassan Asadigandomani, Niloofar Gholami, Sara Adimi, Ehsan Khalilipur, Reza Mirshahi, Hamid Riazi-Esfehani

“…SFCT was the only independent predictor of SCFP on multivariable regression analysis. Parafoveal superficial VD and SFCT showed the strongest ability to distinguish between SCFP patients and healthy controls (AUC: 0.80, 0.79, respectively). …”
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PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH by S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli

“…These methods involve the analysis of various types of data, including clinical assessments, imaging scans, and genetic markers, to develop accurate predictive models. …”
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A study on the impact of neoadjuvant therapy on molecular subtype conversion in breast cancer by Run-Ze Zhang, Dong Liu, Yuan Ke, Wen-Qi Cai, Lin-Hui Zheng, Chao-Yan Wu, Hai-Jun Yu

“…Methods and materials A retrospective analysis was performed on 316 patients who underwent neoadjuvant therapy at Zhongnan Hospital of Wuhan University between March 2017 and October 2024. …”
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Early photoreceptor assessment as a predictor for visual acuity gain after vitrectomy for macula-off retinal detachment by Lourdes Vidal-Oliver, Jorge Mataix-Boronat, Margot Mangen, Enrique Alfonso-Muñoz, Elena Palacios-Pozo, M. Jesus López-Prats, Carmen Desco

“…Other variables were not significant in univariate analysis and were excluded from the multivariate model. …”
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The correlation of tertiary lymphoid structures with tumor spread through air spaces and prognosis in lung adenocarcinoma: focusing on pathological spatial features by Yun Ding, Mengting Yu, Mengli Xue, Wenkang Zong, Yangyun Huang, Jie Ren, Tianxing Guo, Daqiang Sun, Xiaojie Pan

“…TLS showed a negative correlation with various adverse pathological features, with boundary-area TLS demonstrating the strongest correlation with STAS quantity (r= -0.324, P < 0.001). Multivariate Cox analysis identified boundary-area TLS as an independent prognostic factor for recurrence-free survival (HR = 0.856, 95% CI = 0.759–0.966, P = 0.026), while mature TLS was an independent factor for overall survival (HR = 0.841, 95% CI = 0.717–0.988, P = 0.035). …”
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Clinical manifestations of SARS-CoV-2 Omicron infection is associated with the stage of liver cirrhosis by Fengjiao Wang, Lingxiao Zhu, Yanfei Chen, Lanjuan Li

“…In comparison with hospitalized COVID-19 patients without liver cirrhosis, cirrhotic patients showed more severe pulmonary lesions and higher levels of inflammatory cytokine IL-6, but no significant increase in mortality. Multivariate analysis identified lung lesions proportion, MELD ≥ 15 score, and APTT as independent predictors for 28-day-mortality in these patients. …”
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Development and validation of a clinical-radiomics nomogram for the early prediction of Klebsiella pneumoniae liver abscess by Li Gu, Tao Ai, Qing Ye, Yihang Wang, Han Wang, Dong Xu

“…The differences between the two cohorts of patients were assessed via univariate analysis. The radiomics features were extracted from imaging data from enhanced CT of liver abscesses. …”
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