RESUMO
Abstract The power of computed tomography (CT) radiomics for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) demonstrated in current research is variable. This systematic review and meta-analysis aim to evaluate the value of CT radiomics for MVI prediction in HCC, and to investigate the methodologic quality in the workflow of radiomics research. Databases of PubMed, Embase, Web of Science, and Cochrane Library were systematically searched. The methodologic quality of included studies was assessed. Validation data from studies with Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) statement type 2a or above were extracted for meta-analysis. Eleven studies were included, among which nine were eligible for meta-analysis. Radiomics quality scores of the enrolled eleven studies varied from 6 to 17, accounting for 16.7%-47.2% of the total points, with an average score of 14. Pooled sensitivity, specificity, and Area Under the summary receiver operator Characteristic Curve (AUC) were 0.82 (95% CI 0.77-0.86), 0.79 (95% CI 0.75-0.83), and 0.87 (95% CI 0.84-0.91) for the predictive performance of CT radiomics, respectively. Meta-regression and subgroup analyses showed radiomics model based on 3D tumor segmentation, and deep learning model achieved superior performances compared to 2D segmentation and non-deep learning model, respectively (AUC: 0.93 vs. 0.83, and 0.97 vs. 0.83, respectively). This study proves that CT radiomics could predict MVI in HCC. The heterogeneity of the included studies precludes a definition of the role of CT radiomics in predicting MVI, but methodology warrants uniformization in the radiology community regarding radiomics in HCC.
RESUMO
G6PDMahidol enzyme is the most common variant in the Achang Chinese ethnic group and clinically manifests as class II. In this study, G6PDMahidol enzyme was characterized by molecular modeling to understand its kinetics. G6PDMahidol, G6PDG487A and G6PDWT proteins were heterologously expressed in the G6PD-deficient DF213 E. coli strain, purified and their steady-state kinetic parameters were determined. Compared with G6PDWT, the Km and Vmax of NADP+ with G6PDG487A were about 28-fold and 12-fold lower, respectively. The Ki values of dehydroepiandrosterone (DHEA), NADPH and ATP with G6PDG487A showed 29.5-fold, 2.36-fold reduction and 1.83-fold increase, respectively. A molecular modeling of G6PDG487A was performed based on the X-ray structure of human G6PD (PDB: 2BH9). It is suggested that Ser-163 might affect the stability of G6PDG487A -helix d and -strand E, besides the conformation of -strand D. In conclusion, the biochemical and structural properties of G6PDG487A and G6PDWT enzymes are significantly different, which may be responsible for clinical diversity of G6PD deficiencies.