Comparison of Conventional Gadoxetate Disodium–Enhanced MRI Features and Radiomics Signatures With Machine Learning for Diagnosing Microvascular InvasionYidi Chen, MD1, Yuwei Xia, PhD2, Parag P. Tolat, MD3, Liling Long, Zijian Jiang, PhD1, Zhongkui Huang, MD1 Qin Tang, PhD1Audio Available | Share Claim CREDIT

Contract grant sponsor National Natural Science Foundation of China; number: 81260214. Background Recent studies have highlighted the diagnostic value Gadolinium‐ethoxybenzyl‐diethylenetriamine pentaacetic acid (Gd‐EOB‐DTPA)‐enhanced MRI in small hepatocellular carcinoma (HCC). Ki67 and CD34 are histologic markers that reflect proliferation tumor cells microvascular density (MVD). Purpose To explore Gd‐EOB‐DTPA‐enhanced for expression MVD HCC. Study Type Retrospective. Subjects In all, 180...

Microvascular invasion (MVI) of small hepatocellular carcinoma (sHCC) (≤ 3.0 cm) is an independent prognostic factor for poor progression-free and overall survival. Radiomics can help extract imaging information associated with tumor pathophysiology.To develop validate radiomics scores a nomogram gadolinium ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance (MRI) preoperative prediction MVI in sHCC.In total, 415 patients were diagnosed sHCC by...

As the missions and environments of unmanned aerial vehicles (UAVs) become increasingly complex in both space time, it is essential to investigate dynamic task assignment problem heterogeneous multi-UAVs aiming at ground targets an uncertain environment. Considering that most these existing tasking methods are limited static allocation a deterministic environment, this paper firstly constructs fuzzy multiconstraint programming model for multi-UAV based on binary interval theory, taking into...

In order to improve the problem of overly relying on situational information, high computational power requirements, and weak adaptability traditional maneuver methods used by hypersonic vehicles (HV), an intelligent strategy combining deep reinforcement learning (DRL) neural network (DNN) is proposed solve pursuit–evasion (PE) game under tough head-on situations. The twin delayed deterministic (TD3) gradient algorithm utilized explore potential instructions, DNN fit broaden application...

Recent studies have highlighted the correlation between diabetes and pancreatic fat infiltration. Notably, content (PFC) is a potential biomarker in diabetic patients, magnetic resonance imaging (MRI) provides an effective method for noninvasive assessment of However, most reports quantitative measurement lacked comparisons pathology results. The primary objective this study was to determine feasibility accuracy MRI by using fraction (PFF) measurements with IDEAL-IQ sequence; secondary...

There exist different kinds of drawbacks and security risks in the measurement methods dynamic liquid level oilfield, consequently , each them can't provide reliable protection to oilfield for its high efficiency production operations easily cause significant economic losses . In order solve problems above soft sensing technology is found as a new way measure instead original hardware technology. ANN kind which earlier be used but there are some restricted use areas, such easy fall into...

Recent studies have highlighted the correlation between diabetes and pancreatic fat infiltration. However, content (PFC) is rarely confirmed by pathological results, a change of PFC during progression type 2 (T2DM) currently controversial.To evaluate relationship MRI-pancreatic proton density fraction to serologic changes histology in an experimental model diabetes.Prospective animal study.Thirteen Bama pigs were randomly assigned (n = 7) or control 6) groups. Pigs diabetic group received...

When facing problems in the aerial pursuit game, most of current unmanned vehicles (UAVs) have good maneuverability performance, but it is difficult to utilize overload UAVs properly; further, tend be more costly, and often effectively prevent enemy from reaching tailgating position behind UAV game. Therefore, there a pressing need for maneuvering algorithm that can allow quickly protect itself disadvantageous position, stably select maneuver with algorithm, establish an advantage by moving...

This study aimed to investigate the clinical value of intravoxel incoherent motion (IVIM) diffusion-weighted imaging in evaluating brain microstructural and perfusion changes end-stage renal disease (ESRD) patients. 40 ESRD patients 30 healthy subjects were recruited this underwent IVIM MRI. The microstructure showed significantly differences left frontal lobe, bilateral temporal hippocampus, right occipital represented by derived parameters slow apparent diffusion coefficient (ADCslow) fast...

In this paper, we focus on the task of conditional image generation, where an is synthesized according to user instructions. The critical challenge underpinning ensuring both fidelity generated images and their semantic alignment with provided conditions. To tackle issue, previous studies have employed supervised perceptual losses derived from pre-trained models, i.e., reward enforce between condition result. However, observe one inherent shortcoming: considering diversity images, model...

With increasing complexity of the operational environment, aiming at target assignment problem manned/unmanned cooperative air-to-ground attack mission, collaborative model UCAVs is built up through analyzing enemy threat coefficient and Unmanned Combat Aerial Vehicles' (UCAVs) damage effectiveness. An improved Grey Wolf Optimization (GWO) algorithm proposed to improve quality speed solution, which uses triploid grey wolf gene strategy increase initial population diversity, improves...

The dynamic fluid level of oil well is essential for the submersible motor. prediction a popular research direction. This paper describes an approach to short-termly determine by using algorithm which combines state space reconstruction and black hole least squares support vector machine (BH-LSSVM) together. chaotic time series has be reconstructed in space. Then based on data space, levels will determined dynamically, BH-LSSVM algorithm. simulation results show that this much higher...

Objective To investigate the value of diffusion kurtosis imaging (DKI) in diagnosing early diabetic nephropathy. Methods Twelve pigs were divided into experimental group (7 pigs) and control (5 pigs), used random number table method. The was fed with high-fat high-sugar diet,and then repeatedly injected small doses (50 mg/kg) Streptozotocin (STZ) through ear vein. Meanwhile,the normal diet same dose citric acid-sodium citrate buffer solution.After type 2 diabetes established...