Background: For the early diagnosis of malignant biliary stricture due to biliary-pancreatic carcinoma, conventional biliary brush cytology with endoscopic retrograde cholangiopancreatography (ERCP; the conventional method) is not sensitive enough.
Methods: Two hundred nine patients with biliary stricture who were admitted between September 2015 and June 2020 were enrolled in this study. Biliary brush cytology was performed on all patients. Samples were diagnosed independently by an expert pathologist and medical doctor with conventional cytology and photodynamic diagnosis (PDD) with 5-aminolevulinic acid.
Results: The definitive diagnoses were 49 benign and 160 malignant diseases. The conventional method had a sensitivity of 77.5% (124/160) and specificity of 100% (49/49). The PDD method had a sensitivity of 77.5% (124/160) and specificity of 67.3% (33/49). The conventional method identified 36 malignant diseases as false negatives, while the PDD method enabled successful diagnoses of malignant diseases in 19 of these 36 patients. When PDD was combined with the conventional method, the sensitivity significantly increased to 89.4% (143/160, P = 0.006), and for biliary tract diseases only, the sensitivity increased to 95.6% (88/92, P = 0.001).
Conclusions: Malignant biliary stricture can be diagnosed effectively and safely with the in vitro PDD method. The sensitivity could be further increased by combining PDD with the conventional method.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.pdpdt.2022.102756 | DOI Listing |
Sci Rep
December 2024
School of Electrical Engineering, Vellore Institute of Technology, Chennai, 600127, India.
Spherical tanks have been predominantly used in process industries due to their large storage capability. The fundamental challenges in process industries require a very efficient controller to control the various process parameters owing to their nonlinear behavior. The current research work in this paper aims to propose the Approximate Generalized Time Moments (AGTM) optimization technique for designing Fractional-Order PI (FOPI) and Fractional-Order PID (FOPID) controllers for the nonlinear Single Spherical Tank Liquid Level System (SSTLLS).
View Article and Find Full Text PDFSci Rep
December 2024
Shandong Agricultural University, Taian, 271018, China.
Acoustic emission information can describe the damage degree of rock samples in the process of failure. However, as a discrete non-stationary signal, acoustic emission information is difficult to be effectively processed by conventional methods, while wavelet analysis is an effective method for non-stationary signal processing. Therefore, acoustic emission signal is deeply studied by using wavelet analysis method.
View Article and Find Full Text PDFSci Rep
December 2024
Institute of Soil and Water Conservation, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Reservoir-operation optimisation is a crucial aspect of water-resource development and sustainable water process management. This study addresses bi-objective optimisation problems by proposing a novel crossover evolution operator, known as the hybrid simulated binary and improved arithmetic crossover (SBAX) operator, based on the simulated binary cross (SBX) and arithmetic crossover operators, and applies it to the Non-dominated Sorting Genetic Algorithms-II (NSGA-II) algorithm to improve the algorithm. In particular, the arithmetic crossover operator can obtain an optimal solution more precisely within the solution space, whereas the SBX operator can explore a broader range of potential high-quality solutions.
View Article and Find Full Text PDFNat Commun
December 2024
Department of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
Mid-infrared photoacoustic microscopy can capture biochemical information without staining. However, the long mid-infrared optical wavelengths make the spatial resolution of photoacoustic microscopy significantly poorer than that of conventional confocal fluorescence microscopy. Here, we demonstrate an explainable deep learning-based unsupervised inter-domain transformation of low-resolution unlabeled mid-infrared photoacoustic microscopy images into confocal-like virtually fluorescence-stained high-resolution images.
View Article and Find Full Text PDFNat Commun
December 2024
State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University & Shenzhen University, Chengdu, P.R. China.
Electrochemical CO capture driven by renewable electricity holds significant potential for efficient decarbonization. However, the widespread adoption of this approach is currently limited by issues such as instability, discontinuity, high energy demand, and challenges in scaling up. In this study, we propose a scalable strategy that addresses these limitations by transforming the conventional single-step electrochemical redox reaction into a stepwise electrochemical-chemical redox process.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!