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[Development and validation of a nomogram combining clinical and F-FDG PET/CT parameters for prediction of high-grade patterns in invasive lung adenocarcinoma].
Zhonghua Yi Xue Za Zhi
January 2025
Department of Nuclear Medicine, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing100730, China.
To establish and validate a nomogram based on clinical characteristics and metabolic parameters derived from F-fluorodeoxyglucose positron emission tomography and computed tomography (F-FDG PET/CT) for prediction of high-grade patterns (HGP) in invasive lung adenocarcinoma. The clinical and PET/CT image data of 311 patients who were confirmed invasive lung adenocarcinoma and underwent pre-treatment F-FDG PET/CT scan in Beijing Hospital between October 2017 and March 2022 were retrospectively collected. The enrolled patients were divided into HGP group (196 patients) and non-HGP group (115 patients) according to the presence and absence of HGP.
View Article and Find Full Text PDFUsing N2pc variability to probe functionality: Linear mixed modelling of trial EEG and behaviour.
Biol Psychol
January 2025
Center for Human Brain Health and School of Psychology, University of Birmingham, UK.
This paper has two concurrent goals. On one hand, we hope it will serve as a simple primer in the use of linear mixed modelling (LMM) for inferential statistical analysis of multimodal data. We describe how LMM can be easily adopted for the identification of trial-wise relationships between disparate measures and provide a brief cookbook for assessing the suitability of LMM in your analyses.
View Article and Find Full Text PDFSegment, Compare, and Learn: Creating Movement Libraries of Complex Task for Learning from Demonstration.
Biomimetics (Basel)
January 2025
RoboticsLab, Universidad Carlos III de Madrid, 28911 Madrid, Spain.
Motion primitives are a highly useful and widely employed tool in the field of Learning from Demonstration (LfD). However, obtaining a large number of motion primitives can be a tedious process, as they typically need to be generated individually for each task to be learned. To address this challenge, this work presents an algorithm for acquiring robotic skills through automatic and unsupervised segmentation.
View Article and Find Full Text PDFEARLY REFEEDING AFTER COLORECTAL CANCER SURGERY REDUCES COMPLICATIONS AND LENGTH OF HOSPITAL STAY.
Arq Bras Cir Dig
January 2025
Universidade Federal do Mato Grosso, Faculty of Medicine, Postgraduate in Health Sciences - Cuiabá (MT), Brazil.
Background: Multimodal protocols such as Acceleration of Total Postoperative Recovery and Enhanced Recovery After Surgery propose a set of pre- and post-operative care to accelerate the recovery of surgical patients. However, in clinical practice, simple care such as early refeeding and use of drains are often neglected by multidisciplinary teams.
Aims: Investigate whether early postoperative refeeding determines benefits in colorectal oncological surgery; whether the patients' clinical conditions preoperatively and the use of a nasogastric tube and abdominal drain delay their recovery.
Multifunctional Nanozyme with Aptamer-Based Ratiometric Fluorescent and Colorimetric Dual Detection of Prostate-Specific Antigen.
ACS Appl Mater Interfaces
January 2025
Key Laboratory for Special Functional Aggregate Materials of Education Ministry, School of Chemistry and Chemical Engineering, Shandong University, Jinan, Shandong 250100, China.
The adsorption of DNA probes onto nanomaterials represents a promising bioassay technique, generally employing fluorescence or catalytic activity to generate signals. A significant challenge is maintaining the catalytic activity of chromogenic catalysts during detection while enhancing accuracy by overcoming the limitations of single-signal transmission. This article presents an innovative multimodal analysis approach that synergistically combines the oxidase-like activity of Fe-N-C nanozyme (Fe-NC) with red fluorescent carbon quantum dots (R-CQDs), further advancing the dual-mode analysis method utilizing R-CQDs@Fe-NC.
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