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Objective:To evaluate the diagnostic performance of radiomics model based on contrast-enhanced ultrasound(CEUS) in predicting pathological complete response(pCR) after neoadjuvant chemoradiotherapy(nCRT) in patients with locally advanced rectal cancer(LARC).Methods:One hundred and six patients with LARC who underwent total mesorectal excision after nCRT between April 2018 and April 2023 in the First Affiliated Hospital of Guangxi Medical University were retrospectively included, the patients were randomly divided into a training set of 63(14 pCR patients) and a validation set of 43(12 pCR patients) in a 6∶4 ratios. Radiomics features were extracted from the tumors′ region of interest of CEUS images based on PyRadiomics. Intra-class correlation coefficient(ICC), Mann-Whitney U test, and least absolute shrinkage and selection operator(LASSO) algorithms were used to reduce features dimension. Finally, 7 radiomics features relevanted to pCR were selected to construct an ultrasomics model using elastic network regression, based on the R language. A combined model was constructed by jointing clinical feature. The performance of the models was assessed with the area under the ROC curve(AUC). Results:The AUC of the ultrasomics model and the combined model was 0.695(95% CI=0.532-0.859) and 0.726(95% CI=0.584-0.868) respectively in the training set. The AUC of the ultrasomics model and the combined model was 0.763(95% CI=0.625-0.902) and 0.790(95% CI=0.653-0.928) respectively in the validation set. Both univariate and multivariate Logistic regression analyses showed that CA199( P<0.05) and ultrasomics score( P<0.001) could be an independent predictor of pCR after nCRT in patients with LARC. Conclusions:The CEUS-based radiomics scores has certain predictive value for whether LARC patients achieve pCR after nCRT, and may provide a non-invasive imaging biomarker for predicting LARC patients achieve pCR after nCRT.
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Objective To investigate the incidence and risk factors of liver abscess after radiofrequency ablation (RFA) for liver cancer.Methods A retrospective study was performed on 1 643 patients from January 2000 to June 2016.All the patients were diagnosed with hepatocellular carcinoma (HCC,n =942),cholangiocellular carcinoma (CCC,n =31) or metastatic liver carcinoma (MLC,n=670).Univariate and multiple Logistic regression analysis were used to evaluate the risk factors of liver abscess.Results The incidence of liver abscess after RFA was 0.79％％ (13/1 643).Univariate analysis indicated that the liver abscess was significantly correlated with the history of diabetic mellitus (DM),Child-Pugh level,history of surgery and tumor location (all P＜0.05).Multivariate analysis showed that the history of DM,history of surgery and tumor location were independent risk factors of liver abscess after RFA for liver cancer.Conclusion History of DM,surgery and tumor location are important factors that result in liver abscess after RFA.