Inter- and intra-tumoral heterogeneity on [68Ga]Ga-DOTA-TATE/[68Ga]Ga-DOTA-TOC PET/CT predicts response to [177Lu]Lu-DOTA-TATE PRRT in neuroendocrine tumor patients by Camila Gadens Zamboni, Ayca Dundar, Sanchay Jain, Marc Kruzer, Bradley T. Loeffler, Stephen A. Graves, Janet H. Pollard, Sarah L. Mott, Joseph S. Dillon, Michael M. Graham, Yusuf Menda, Ahmad Shariftabrizi

“…On multivariable analysis, total receptor expression and mean liver-corrected SUVmean were selected for 24-month TTP. …”
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CBCT based investigation of furcation groove’s prevalence, depth, length and associated dentin thickness in Maxillary First Permanent Premolars in Saudi Sub-population by Safia S. Shaikh, Muhammad Qasim Javed, Ahmed Ali, Zaina Ahmad, Khawlah Almohimeed, Ayman M. Abulhamael, Ra’fat I. Farah

“…Methods The study was a cross-sectional study, conducted at Qassim University, KSA, on 156 CBCT images. The presence of FG, its length, depth, and associated DT at the deepest point were recorded. …”
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Correlation between Obesity and Left Atrial Enlargement in Patients Using Cardiac Magnetic Resonance by Solos Jaturapisanukul, Yodying Kaolawanich, Methat Meechuen, Thananya Boonyasirinant

“…In stepwise multivariable analysis, BMI (p < 0.001), LV mass index (p = 0.02), and male sex (p = 0.03) were independently associated with LA volume. …”
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The myocardial function index (MFI): An integrated measure of cardiac function in AL-cardiomyopathy by Nadia Akhiyat, Vidhu Anand, Vinayak Kumar, Alexander Ryu, Raymond Gibbons, Barry A. Borlaug, Krishnaswamy Chandrasekaran, Omar Abou Ezzeddine, Nandan Anavekar

“…Changes in myocardial volumes during the cardiac cycle were measured to calculate the MFI by MVd-MVs+StrokevolumeMVd+LVenddiastolicvolume. Multivariable analysis was performed to evaluate predictors of all-cause mortality and survival was evaluated using Kaplan Meier analysis. …”
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Impact of hip synovitis on the long-term outcomes of free vascularized fibular grafting for osteonecrosis of femoral head by ZHU Daoyu, FU Kai, HE Haiyan, CAI Qianying, PENG Hao, CHEN Shengbao, YIN Jimin, LUO Pengbo, JIN Dongxu, ZHANG Changqing, GAO Youshui

“…Hip survival failure (defined as a Harris hip score lower than 80 at the final follow-up or the occurrence of total hip arthroplasty) was calculated. Multivariable Cox regression analysis was adopted to compare the influence of different degrees of synovial inflammation on long-term prognosis.Results·The proportion of hip survival failure was 28.0% in patients without synovitis and 28.5% in those with moderate synovitis, whereas it was significantly higher (60.4%) in patients with severe synovitis. …”
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Survival outcomes among patients with breast cancer and leptomeningeal disease by Badr Id Said, Katarzyna J. Jerzak, Hanbo Chen, Veronika Moravan, Ellen Warner, Sten Myrehaug, Chia-Lin Tseng, Jay Detsky, Deepak Dinakaran, Chris Heyn, Arjun Sahgal, Hany Soliman

“…LMD diagnosis was made via magnetic resonance imaging (MRI). Multivariable analysis (MVA) identified variables associated with brain-specific progression-free survival (bsPFS) and overall survival (OS). …”
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Impact of chest computed tomography-determined low skeletal muscle mass on the survival of patients with acute heart failure by Yan Huang, Yan Huang, Yiming Wang, Junfang Guo, Ping Fang, Biao Kong, Zilan Wang, Junbo Zuo, Junbo Zuo

“…Furthermore, multivariable Cox regression analysis revealed that low SMM was independent risk factors associated with all-cause death [hazard ratio (HR) = 2.37, 95% CI: 1.51–3.73; p &lt; 0.001] and cardiovascular death (HR = 3.06, 95% CI: 1.75–5.37; p &lt; 0.001).ConclusionsChest CT-determined low SMM has the potential to serve as a valuable imaging prognostic indicator for predicting adverse outcomes in AHF patients.…”
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The Predictive Value of the Preoperative Systemic Inflammatory Response Indices in Non–Organ-Confined Disease in Upper Urinary Tract Urothelial Carcinoma by Sung Kyung Choi, Chan Hoon Gwak, Jungyo Suh, Bumjin Lim, Cheryn Song, Dalsan You, In Gab Jeong, Jun Hyuk Hong, Bumsik Hong, Choung-Soo Kim, Hanjong Ahn

“…Tumor location, multifocality, hydronephrosis on preoperative imaging, and preoperative SII, including C-reactive protein-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio (PLR) were used for analysis. …”
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Predictive value of an early comprehensive assessment model for refractory mycoplasma pneumoniae pneumonia and internal validation by Xiangtao Wu, Weihong Lu, Weiqing Liu, Yishuai Ren, Shuangshuang Fan, Yali Xu, Ruigui Zhang, Xue Liu, Mengzhu Wang, Tuanjie Wang, Xingliang Zhang, Shaoru He, Shujun Li

“…Methods The development cohort consisted of patients with mycoplasma pneumoniae pneumonia (MPP) who underwent fiberoptic bronchoscopy between January 2019 and October 2021. Multivariable logistic regression analysis was used to identify independent risk factors for RMPP, and a nomogram model was developed that included initial admission examinations and clinical characteristics. …”
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Clinical significance of blood viscosity in patients with acute ischemic stroke by Sang-Mi Noh

“…Diastolic blood viscosity was higher in patients with small vessel disease and those with old lacunar infarctions or cerebral microbleeds than in those with white matter hyperintense lesions or significant stenosis. However, multivariable analysis revealed no significant associations between diastolic blood viscosity and stroke subtype of index stroke or any imaging markers. …”
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Features on MDCT that predict surgery in patients with adhesive-related small bowel obstruction. by Wei-Chou Chang, Kai-Hsiung Ko, Chun-Shu Lin, Hsian-He Hsu, Shih-Hung Tsai, Hsiu-Lung Fan, Ho-Jui Tung, Guo-Shu Huang, Ran-Chou Chen

“…Statistical analyses were performed using univariate and multivariable analyses.<h4>Results</h4>Multivariable analysis showed that MDCT demonstrated presence of intraperitoneal fluid (Odds ratio, OR, 4.38), high-grade or complete obstruction (OR, 3.19) and mesenteric fatty stranding (OR, 2.81), and absence of faeces sign (OR, 2.11) were the most significant predictors. …”
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A predictive nomogram for intramyocardial hemorrhage in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention based on coro... by Yiwen Wang, Yuan Lu, Yinshuang Yang, Shuguang Han, Qiuming Chi, Yafeng Zhou, Yang Duan

“…A nomogram was established using two independent predictors of IMH derived from multivariable analysis: caIMR and left ventricular ejection fraction (LVEF). …”
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Association between gamma-glutamyl transferase levels and the retinal age gap by Kai Yang, Xiaoxuan Zhu, Ziyu Li, Wei Lian, Jinxia Yan, Shasha Ding, Zhenqing Wang, Yudie Wang, Jiaqi Ai, Zhengyang Guo, Binbin Su, Jia Qu, Fan Lu, Lele Cui, Ming Li

“…BackgroundTo develop a retinal age prediction model based on a foundation model using fundus images and to determine the association between gamma-glutamyl transferase (GGT) levels and the retinal age gap.MethodsA total of 36,044 fundus images with reasonable quality from 9,752 participants in the Jidong Eye Cohort Study were included in this study. …”
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Cerebral small-vessel disease is associated with the severity of diabetic retinopathy in type 1 diabetes by Turgut Tatlisumak, Jukka Putaala, Daniel Gordin, Paula Summanen, Carol Forsblom, Per-Henrik Groop, Juha Martola, Marika I Eriksson, Sara Shams, Ron Liebkind, Lena M Thorn

“…ETDRS scores increased by number of cerebral microbleeds (p=0.001), both ETDRS score (OR 1.05 (95% CI 1.02 to 1.09)) and proliferative diabetic retinopathy (8.52 (95% CI 1.91 to 37.94)) were associated with &gt;2 cerebral microbleeds in separate multivariable analysis. We observed no association with white matter hyperintensities or lacunar infarcts.Conclusions Presence of cerebral small-vessel disease on brain MRI, particularly cerebral microbleeds, is associated with the severity of diabetic retinopathy.…”
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Targeted enamel remineralization with mineral-loaded starch particlesWhy Is This Important? by Nathan A. Jones, PhD, Li-Chi Pan, MEng, Susan E. Flannagan, MS, Kai A. Jones, MD, Lyudmila Lukashova, MS, Lucas Wightman, BEng, Sywe-Ren Chang, MS, Glenn Jones, MD, Livia M.A. Tenuta, DDS, PhD, Carlos González-Cabezas, DDS, PhD, Brian H. Clarkson, DDS, PhD, Wendy Bloembergen, MD, Steven Bloembergen, PhD

“…The tomographic evaluation found significant (multivariable regression analysis, P < .05) restoration of lesion mineral density by MLCS-FP and MLCS-FF (42.9% and 38.6%, respectively) vs fluoride and negative controls (7.4% and −18%, respectively), particularly for the lesion subsurface (13.8% [13.0%], 15.9% [9.4%], −2.2% [7.3%], and −1.8% [4.0%] relative hydroxyapatite density for 0.25 through 0.45 μm lesion depth for FP, FF, fluoride, and deionized water, respectively). …”
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Impact of Microkeratome Dissection Parameters on Textural Interface Opacities in DSAEK Grafts by Marina S. Chatzea, George D. Kymionis, Dionysios G. Vakalopoulos, Robert C. O’Brien, Daniella Mora, Katrina Llanes, Elizabeth Fout, William Buras, Concetta Triglia, Rahul S. Tonk, Sonia H. Yoo

“…<b>Methods</b>: Optical coherence tomography (OCT) images of DSAEK-processed corneal grafts, prepared with the same microkeratome and technique for transplantation at Bascom Palmer Eye Institute, underwent blinded analysis using a newly developed grading scale termed “M-TIO”. …”
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Mapping the Epidemiologic Features of Endotracheal Tube ObstructionTake-Home Points by Vimal Bhardwaj, MD, FNB(Critical Care), EDIC, Abhishek Samprathi, MD, DrNB, EDIC, Manu M.K. Varma, MD, DM, Kingshuk Saha, MSc, Ross Prager, MD, John Basmaji, MD, Nicolas Orozco, MD, Srirang Ramamoorthy, MSc, Jose Chacko, MD, EDIC, Arjun Alva, MD

“…Multivariable regression analysis showed only Ppeak (β = 1.65 [95% CI, 1.28-2.02]; P < .01), coagulopathy (β = 8.02 [95% CI, 3.26-12.79]; P < .01) and larger number of days receiving invasive mechanical ventilation (β = 0.02 [95% CI, 0.01-0.03]; P < .01) to be significant factors associated with ETB percentage. …”
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Estimating Coronary Sinus Oxygen Saturation from Pulmonary Artery Oxygen Saturation by Alexander Gall, Hosamadin S. Assadi, Rui Li, Zia Mehmood, Bahman Kasmai, Gareth Matthews, Pankaj Garg

“…A multivariable regression analysis of all reported variables, excluding SpaO₂, independently identified superior vena cava oxygen saturation (SsvcO₂) and arterial oxygen saturation (SaO₂) as predictors of ScsO₂ (<i>r</i> = 0.78, <i>p</i> < 0.001), deriving the equation ScsO₂ = −452.8345 + 4.3579 × SaO₂ + 0.8537 × SsvcO₂. …”
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Development and validation of a multidisciplinary risk assessment scale for immune checkpoint inhibitor-associated myocarditis by Yanan DAI, Yuan LIU, Yuchen XU, Qingqing CAI, Yan WANG, Yuhong ZHOU, Leilei CHENG, Junbo GE

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In-hospital mortality among hospitalized COVID-19 patients in a tertiary care hospital in Dhaka City: a retrospective cohort study by Ahmed Hossain, Ahmed Hossain, Md. Maruf Hasan, S. M. Sorowar Kamal, Shahnewaz Dewan, Gias U. Ahsan, Juwel Rana, Juwel Rana

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