Deep learning-based body composition analysis from whole-body magnetic resonance imaging to predict all-cause mortality in a large western populationResearch in context by Matthias Jung, Vineet K. Raghu, Marco Reisert, Hanna Rieder, Susanne Rospleszcz, Tobias Pischon, Thoralf Niendorf, Hans-Ulrich Kauczor, Henry Völzke, Robin Bülow, Maximilian F. Russe, Christopher L. Schlett, Michael T. Lu, Fabian Bamberg, Jakob Weiss

“…Summary: Background: Manually extracted imaging-based body composition measures from a single-slice area (A) have shown associations with clinical outcomes in patients with cardiometabolic disease and cancer. …”
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Phenotyping in Green Lettuce Populations Through Multispectral Imaging by Jordhanna Marilia Silva, Ana Carolina Pires Jacinto, Ana Luisa Alves Ribeiro, Isadora Rodrigues Damascena, Livia Monteiro Ballador, Paulo Henrique Lacerra, Pablo Forlan Vargas, George Deroco Martins, Renata Castoldi

“…Genetic dissimilarity was confirmed by multivariate analysis, which resulted in a cophenetic correlation coefficient of 96.11%. …”
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The neural dynamics of integrating prior and kinematic information during action anticipation in sport by Danlei Wang, Dongwei Li, Arash Mirifar, Chenglin Zhou, Mengkai Luan

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Microplastic Deposit Predictions on Sandy Beaches by Geotechnologies and Machine Learning Models by Anderson Targino da Silva Ferreira, Regina Célia de Oliveira, Maria Carolina Hernandez Ribeiro, Pedro Silva de Freitas Sousa, Lucas de Paula Miranda, Saulo de Oliveira Folharini, Eduardo Siegle

“…In São Paulo’s northern coast, geomorphological factors and anthropogenic activities intensify the deposition of these pollutants. Through multivariate techniques, this study aims to investigate the role of the morphometrical parameters as independent variables in quantifying the distribution of MPs on the region’s sandy beaches. …”
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Imaging manifestations of neonatal necrotizing enterocolitis to predict timing of surgery by Lei Yu, Chao Liu, Yanhua Cui, Linlin Xue, Lishuang Ma

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Zoneamento hierárquico da paisagem nos domínios da Bacia do Rio Uruguai / Landscape hierarchical zoning in the domains of the Uruguay River Basin by Marcos Wellausen Dias de Freitas, João Roberto Santos

“…The methodological approach included the following stages: a) landscape variables organization and processing in a GIS and object-oriented based image analysis (GEOBIA) environment; b) landscape hierarchical zoning in landscape “geons” and Landscape Planning Units (UPP’s) c) multivariate analysis of the UPP’s result with the definition of two landscape hierarchical levels (holons). …”
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CT imaging biomarkers to predict severity and prognosis of pulmonary hypertension. by Do Won Yoon, Yeonyee E Yoon, In Chang Hwang, Wonjae Lee, Ki-Yeal Lee, Eun Ju Chun

“…During the follow-up period, 44 (30.6%) patients developed MACE (14 deaths and 30 hospitalizations). Using multivariate Cox regression analysis, the RV/LV ratio (HR 2.32; 95% CI: 1.17-4.59) was the best predictor of MACE, followed by age (HR 1.03, 95% CI;1.00-1.05) (all p < 0.05). …”
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Dual-region MRI radiomic analysis indicates increased risk in high-risk breast lesions: bridging intratumoral and peritumoral radiomics for precision decision-making by Yuting Yang, Tingting Liao, Xiao-Hui Lin, Rushan Ouyang, Qiu Chen, Jie Ma

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Exploring the use of thermal infrared imaging in human stress research. by Veronika Engert, Arcangelo Merla, Joshua A Grant, Daniela Cardone, Anita Tusche, Tania Singer

“…While correlations between the thermal imprints and established stress markers were mostly non-significant, the thermal imprints (but not the established stress makers) did correlate with stress-induced mood changes. Multivariate pattern analysis revealed that in contrast to the established stress markers the thermal imprints could not disambiguate anticipation, stress and recovery phases of both tests. …”
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Relationship between nerve ultrasonography image and electrophysiology in diabetic polyneuropathy by Pei‐Chen Hsieh, Long‐Sun Ro, Chun‐Che Chu, Ming‐Feng Liao, Hong‐Shiu Chang, Hung‐Chou Kuo

“…Results A higher grade of DSPN was associated with a notably higher CSA. Multivariate step‐wise regression analysis revealed that the number of abnormal nerves was a positive independent variable for UPSS (β coefficient = 0.4205; P < 0.0001). …”
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Clinical impact of air pollution on SPECT myocardial perfusion imaging by Océane Bouchot, Stephan Gabet, Loïc Djaileb, Aurélia Robin, Nicolas De Leiris, Julie Roux, Laurent Riou, Gerald Vanzetto, Daniel Fagret, Catherine Ghezzi, Rémy Slama, Gilles Barone-Rochette

“…Results: A total of 1,585 participants were prospectively included (mean age 67.7 ± 11.6 years, 63.3 % male); 148 (9.3 %) patients presented a moderate-to-severe ischemia. In multivariate analysis, the odds of moderate-to-severe ischemia was increased, with adjusted odds-ratio (ORa) of 1.39 [95 % confidence interval (95 % CI): 1.07–1.80; p = 0.013], 1.33 (95 % CI: 1.01–1.75; p = 0.042), and 1.22 (95 % CI: 0.96–1.57; p = 0.10) for each increase of one Interquartile Range (IQR) in PM2.5, PM10 and NO2 exposure, respectively (IQR equal to 3.3, 4.3 and 10.0 µg/m3, respectively). …”
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Genetic and imaging features of CADASIL patients with acute ischemic stroke by Jae Young Park, Jeong Yun Song, Jun Young Chang, Dong-Wha Kang, Sun U. Kwon, Chong Hyun Suh, Hyunjin Kim, Jae-Sung Lim, Satoshi Saito, Sang Hee Ha, Bum Joon Kim

“…CADASIL patients with AIS had a higher rate of exon 3 variant and a lower rate of exon 11 variant compared to those without AIS. Multivariable analysis revealed that exon 11 variants were associated with a reduced risk (aOR = 0.270, 95% CI 0.099–0.733; p = 0.010). …”
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Preoperative MR - based model for predicting prognosis in patients with intracranial extraventricular ependymoma by Liyan Li, Xueying Wang, Zeming Tan, Yipu Mao, Deyou Huang, Xiaoping Yi, Muliang Jiang, Bihong T. Chen

“…Clinical variables were assessed including age, gender, KPS, pathological grade of the tumor and blood test data such as eosinophil, blood urea nitrogen and serum creatinine. Multivariate Cox proportional hazards regression analysis was performed to select the independent prognostic factors for DFS and OS. …”
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Radiomics models to predict axillary lymph node metastasis in breast cancer and analysis of the biological significance of radiomic features by Xinhua Li, Minping Hong, Zhendong Lu, Zilin Liu, Lifu Lin, Hongfa Xu

“…Radiomics models were established using a multivariate regression algorithm for each region and their combinations. …”
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Morphometric differences between basal cell carcinomas &amp; melanomas of the head &amp; neck versus other sites and their influence on neural networks by Jonas Hue, Jinendra Ekanayake, Jamshid Dehmeshki, Jagtar Dhanda

“…Methods: Morphometric image analysis of the BCCs(n=422) and melanomas(n=868) from the publicly available HAM10000 dataset was performed using an open-source image analysis software. …”
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Incidence and Predictors of Secondary Upper Tract Urothelial Cancer in Patients with High-Risk Non-Muscle Invasive Urinary Bladder Cancer and its Impact on Imaging Surveillance: A... by Ebrahim Elsaeed Abouelenein, Mohamed Elawdy, Diaa-Eldin Taha, Yasser Osman, Bedeir Ali-El Dein, Ahmed Mosbah

“…Multiple bladder tumors and ≥ 3 bladder recurrences remained significant on multivariable analysis. ConclusionUTUC after HR-NMIBC is uncommon (4%). …”
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Novel PET imaging biomarkers as predictors of postoperative recurrence in lung adenocarcinoma by Cheng Zheng, Jiangfeng Miao, LiuWei Xu, Yujie Cai, BingShu Zheng, ZhongHua Tan, ChunFeng Sun

“…In both univariate and multivariate analyses, NHOPmax was significantly associated with postoperative outcomes (P < 0.001, odds ratio 0.033). …”
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Improving spatiotemporal data fusion method in multiband images by distributing variates by Yihua Jin, Zhenhao Yin, Weihong Zhu, Dongkun Lee

“…RDSFM addresses residuals caused by spatial and temporal variations, utilizing the IR-MAD algorithm to estimate subpixel distribution weights based on multivariate data collected over time. Compared to existing methods, RDSFM offers several key advantages: (1) It accurately predicts seasonal variations in bands such as red and NIR, (2) It effectively handles heterogeneous landscapes and shifting land cover, and (3) It requires only one high-resolution reference image as input, minimizing data requirements. …”
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Feasibility of comprehensive genomic profiling using endoscopic ultrasound‐guided tissue acquisition with a 22‐gauge Franseen needle by Kazunaga Ishigaki, Yousuke Nakai, Go Endo, Kohei Kurihara, Kota Ishida, Shuichi Tange, Rintaro Fukuda, Shinya Takaoka, Yurie Tokito, Yukari Suzuki, Hiroki Oyama, Sachiko Kanai, Tatsunori Suzuki, Tatsuya Sato, Ryunosuke Hakuta, Tomotaka Saito, Tsuyoshi Hamada, Naminatsu Takahara, Aya Shinozaki‐Ushiku, Mitsuhiro Fujishiro

“…In addition, The EUS‐TA slides were evaluated for the tissue area and tumor area content, using the image software. Results A total of 50 cases, with 78% of pancreatic cancer, were included in the analysis. …”
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Imaging characteristics of cerebral small vessel disease in high⁃altitude plateau by WANG Jun⁃shan, ZHAO Wei⁃wei, ZHUO Ma, CHEN Yu⁃xiu, ZHAO Yu⁃hua, YUAN Jing

“…The distribution patterns of CSVD imaging markers were analyzed. Spearman rank correlation analysis was used to investigate the association among imaging biomakers, including WMH, LACI, CMBs and EPVS. …”
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