Autocrine vascular endothelial growth factor (VEGF) can regulate the survival and progression of cancers through its various receptors. But mechanisms mediators for these functions are largely uncovered, especially in breast cancer. We examined potential roles VEGF/neuropilin-1 (NRP-1) axis regulating tumorigenesis metastasis cancer found expression VEGF NRP-1 correlated with aggressiveness Knockdown or inhibited proliferation, migration invasion, but enhanced apoptosis MDA-MB-231 cells. In...

Accurate crop yield prediction is crucial for formulating agricultural policies, guiding management, and optimizing resource allocation. This study proposes a method predicting yields in China’s major winter wheat-producing regions using MOD13A1 data deep learning model which incorporates an Improved Gray Wolf Optimization (IGWO) algorithm. By adjusting the key parameters of Convolutional Neural Network (CNN) with IGWO, accuracy significantly enhanced. Additionally, explores potential Green...

Abstract OBJECTIVES As evidence has proven that sublobar resection is oncologically contraindicated by tumour spread through air spaces (STAS), its preoperative recognition vital in customizing surgical strategies. We aimed to assess the value of radiomics predicting STAS stage I lung adenocarcinoma. METHODS retrospectively reviewed patients with adenocarcinoma, who accepted curative our institution between January 2011 and December 2013. Using ‘PyRadiomics’ package, 88 features were...

The pairing of immunotherapy and radiotherapy in the treatment locally advanced nonsmall cell lung cancer (NSCLC) has shown promise. By combining with immunotherapy, synergistic effects these modalities not only bolster antitumor efficacy but also exacerbate injury. Consequently, developing a model capable accurately predicting radiotherapy- immunotherapy-related pneumonitis patients is pressing need. Depth image features extracted from deep learning, combined radiomics clinical...

Straw incorporation (SI) is a key strategy for promoting sustainable agriculture. It aims to mitigate environmental pollution caused by straw burning and enhances soil organic matter content, which increases crop yields. Consequently, the accurate efficient monitoring of SI crucial agricultural practices effective management. In this study, we employed Google Earth Engine (GEE) analyze time-series Sentinel-2 data with Mann–Kendall (MK) algorithm. This approach enabled extraction spatial...

Abstract Background Invasive lung adenocarcinoma (LUAD) with the high‐grade patterns (HGPs) has potential for rapid metastasis and frequent recurrence. Therefore, accurately predicting presence of components is crucial doctors to develop personalized treatment plans improve patient prognosis. Purpose To a CNN–transformer fusion network based on radiomics clinical information HGPs LUAD. Methods A total 288 lesions in patients pathologically confirmed invasive LUAD were enrolled. Firstly,...

Aims: Static fluorodeoxyglucose (FDG)-positron emission tomographic (PET) imaging plays an important role in the localization of epileptic foci. Dynamic FDG PET allows calculation kinetic parameters. The aim this study was to investigate whether parameters have potential for identifying foci, and assess correlation asymmetry indexes (ASYM) between dynamic static understanding pathophysiology hypometabolism within intractable epilepsy. Methods: Seventeen patients who had refractory epilepsy...

All studies involving use of ionizing radiation should be performed in accordance with the ALARA (As Low As Reasonably Achievable) principle, especially children. In this study, prospective ECG triggering technique low voltage was used dual-source computed tomography (DSCT) angiography to investigate if image quality dose could satisfactory pediatric patients congenital heart disease.Sixty suspected cardiovascular anomalies were enrolled prospectively study. They randomly assigned two groups...

Abstract Purpose To explore the diagnostic value of intralesional and perilesional radiomics based on multimodal ultrasound (US) images in predicting malignant ACR TIRADS 4 thyroid nodules (TNs). Methods A total 297 cases TNs patients who underwent preoperative grayscale US shear wave elastography (STE) were enrolled (training cohort: n = 150, internal validation 77, external 70). Regions interests (ROIs) delineated STE images, then an isotropic expansion 1.0, 1.5, 2.0, 2.5, 3.0 mm was...

BACKGROUND:Despite the promising results of immunotherapy in cancer treatment, new response patterns, including pseudoprogression and hyperprogression, have been observed. Radiomics is automated extraction high-fidelity, high-dimensional imaging features from standard medical images, allowing comprehensive visualization characterization tissue interest corresponding microenvironment. This study assessed whether radiomics can predict to patients with malignant tumors digestive system....

Objective: We aim to establish a deep learning model called multimodal ultrasound fusion network (MUF-Net) based on gray-scale and contrast-enhanced (CEUS) images for classifying benign malignant solid renal tumors automatically compare the model's performance with assessments by radiologists different levels of experience. Methods: A retrospective study included CEUS videos 181 patients (81 100 tumors) from June 2012 2021. total 9794 B-mode CEUS-mode were cropped videos. The MUF-Net was...

Aim: The purpose of this work was to develop and evaluate magnetic resonance imaging (MRI)-based radiomics for differentiation orbital cavernous hemangioma (OCH) schwannoma (OSC). Methods: Fifty-eight patients (40 OCH 18 OSC, confirmed pathohistologically) screened out from 216 consecutive who presented between 2015 2020 were divided into a training group (28 12 OSC) validation (12 6 OSC). Radiomics features extracted T1-weighted (T1WI) T2-weighted (T2WI). T-tests, the least absolute...

Background: Energy spectrum CT is an effective method to evaluate the biological behavior of lung cancer. Radiomics a non-invasive technology obtain histological information related Purpose: To investigate value radiomics models on bases enhanced spectral images peripheral cancer predict expression vascular endothelial growth factor (VEGF) and epidermal receptor (EGFR). Material Methods: This study retrospectively analyzed 73 patients with confirmed by postoperative pathology. All underwent...

Investigating the application of CT images when diagnosing lung cancer based on finite mixture model is objective.120 clean healthy rats were taken as research objects to establish rat and carry out image examination. After successful data preprocessing, segmented by different methods, which include nodule segmentation basis Adaptive Particle Swarm Optimization - Gaussian (APSO-GMM), gamma (APSO-GaMM), statistical information self-selected mixed distribution model, neighborhood model. The...

To evaluate the reproducibility of signal intensity index (SII) measurements with MRI systems from different vendors and field strengths, to test effectiveness flip angle. Thirty-two healthy volunteers (mean age 35.3 ± 9.3 years) were enrolled in this ethics committee-approved study. Chemical shift MR imaging was performed on 1.5- 3.0-T three vendors. Two independent observers measured SII values five lumbar segments. Inter- intraobserver agreement assessed using interclass correlation...

This study was aimed to investigate the radioprotective effects of recombinant human interleukin-12 (rhIL-12) on monkey hematopoietic system, and provide experimental evidence for future clinical prophylaxis treatment patients who suffered from acute radiation syndrome. In in vitro study, effect rhIL-12 different concentrations (0, 1, 5, 25, 125 625 ng/ml) colony forming capacity or bone marrow-derived mononuclear cells examined methylcellulose H4434 medium. vivo syndrome model established...

Traditional manual or semi-mechanized pesticide spraying methods often suffer from issues such as redundant coverage and cumbersome operational steps, which fail to meet current pest disease control requirements. Therefore, there is an urgent need develop efficient technology system. This paper builds upon the Deep Q-Network algorithm by integrating Bi-directional Long Short-Term Memory structure propose BL-DQN algorithm. Based on this, a path planning framework for using agricultural drones...