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1.
Medicine (Baltimore) ; 103(17): e37899, 2024 Apr 26.
Artigo em Inglês | MEDLINE | ID: mdl-38669377

RESUMO

To investigate the clinical value of contrast-enhanced ultrasound in the prediction of hepatic encephalopathy (HE) in patients with hepatitis B cirrhosis after intrahepatic portal-systemic shunt via jugular vein. In this retrospective study, we collected data from 75 patients with hepatitis B, cirrhosis, and portal hypertension who underwent jugular intrahepatic portosystemic shunt from February 2019 to February 2022. The diagnostic instrument used was the TOSHIBA Aplio500 color Doppler ultrasound with contrast-enhanced ultrasound capabilities. The trial group comprised 20 patients with HE within 3 months postsurgery, while the control group (CG) included 55 patients without HE within the same postoperative period. All patients underwent various examinations before and within 48 hours after surgery, including observation of liver and spleen size and stent position, as well as assessment of blood flow direction in portal and hepatic veins. Subsequently, contrast-enhanced ultrasound was employed to examine and observe perfusion changes of contrast agents in hepatic veins, hepatic arteries, and portal veins (PV). Changes in PV pressure gradient, intrahepatic, and stent blood flow perfusion (BFP) were explored in both postoperative trials and CGs. The trial group exhibited higher BFP volume, PV pressure gradient difference, and percentage decrease compared to the CG. A weak positive correlation was observed between blood flow within the liver stent and PV pressure gradient difference, as well as the percentage decrease in PV pressure gradient. The correlation coefficient between blood flowing perfusion volume within the stent and the difference in PV pressure gradient was R = 0.415 (P = .000). The correlating coefficient between BFP amount within the stent and the percentage decrease in PV pressure gradient was R = 0.261 (P = .027). The area under the receiver operating characteristic curve for stent perfusion volume, difference in PV pressure gradient, and percentage decrease in PV pressure gradient was 0.691, 0.759, and 0.742, respectively. An increase in PV pressure gradient accelerates blood flow within the stent, predisposing to HE. Changes in hepatic BFP following transjugular intrahepatic portosystemic shunt can effectively predict the occurrence of HE, demonstrating significant clinical relevance.


Assuntos
Meios de Contraste , Derivação Portossistêmica Transjugular Intra-Hepática , Humanos , Masculino , Derivação Portossistêmica Transjugular Intra-Hepática/métodos , Feminino , Pessoa de Meia-Idade , Estudos Retrospectivos , Hipertensão Portal/cirurgia , Hipertensão Portal/fisiopatologia , Hipertensão Portal/diagnóstico por imagem , Fígado/irrigação sanguínea , Fígado/diagnóstico por imagem , Fígado/cirurgia , Ultrassonografia Doppler em Cores/métodos , Adulto , Cirrose Hepática/cirurgia , Cirrose Hepática/fisiopatologia , Cirrose Hepática/diagnóstico por imagem , Circulação Hepática/fisiologia , Idoso , Veia Porta/diagnóstico por imagem , Veia Porta/fisiopatologia , Relevância Clínica
2.
Future Oncol ; 18(2): 215-230, 2022 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-34854737

RESUMO

Aims: This study presents a survival stratification model based on multi-omics integration using bidirectional deep neural networks (BiDNNs) in gastric cancer. Methods: Based on the survival-related representation features yielded by BiDNNs through integrating transcriptomics and epigenomics data, K-means clustering analysis was performed to cluster tumor samples into different survival subgroups. The BiDNNs-based model was validated using tenfold cross-validation and in two independent confirmation cohorts. Results: Using the BiDNNs-based survival stratification model, patients were grouped into two survival subgroups with log-rank p-value = 9.05E-05. The subgroups classification was robustly validated in tenfold cross-validation (C-index = 0.65 ± 0.02) and in two confirmation cohorts (E-GEOD-26253, C-index = 0.609; E-GEOD-62254, C-index = 0.706). Conclusion: We propose and validate a robust and stable BiDNN-based survival stratification model in gastric cancer.


Assuntos
Biomarcadores Tumorais/genética , Neoplasias Gástricas/mortalidade , Aprendizado de Máquina não Supervisionado , Idoso , Análise por Conglomerados , Metilação de DNA , Conjuntos de Dados como Assunto , Epigenômica/métodos , Feminino , Seguimentos , Humanos , Estimativa de Kaplan-Meier , Masculino , Pessoa de Meia-Idade , RNA-Seq/métodos , Medição de Risco/métodos , Neoplasias Gástricas/genética
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