This study aimed to identify radiomic features of primary tumor and develop a model for indicating extrahepatic metastasis of hepatocellular carcinoma (HCC). Contrast-enhanced computed tomographic ...(CT) images of 177 HCC cases, including 26 metastatic (MET) and 151 non-metastatic (non-MET), were retrospectively collected and analyzed. For each case, 851 radiomic features, which quantify shape, intensity, texture, and heterogeneity within the segmented volume of the largest HCC tumor in arterial phase, were extracted using Pyradiomics. The dataset was randomly split into training and test sets. Synthetic Minority Oversampling Technique (SMOTE) was performed to augment the training set to 145 MET and 145 non-MET cases. The test set consists of six MET and six non-MET cases. The external validation set is comprised of 20 MET and 25 non-MET cases collected from an independent clinical unit. Logistic regression and support vector machine (SVM) models were identified based on the features selected using the stepwise forward method while the deep convolution neural network, visual geometry group 16 (VGG16), was trained using CT images directly. Grey-level size zone matrix (GLSZM) features constitute four of eight selected predictors of metastasis due to their perceptiveness to the tumor heterogeneity. The radiomic logistic regression model yielded an area under receiver operating characteristic curve (AUROC) of 0.944 on the test set and an AUROC of 0.744 on the external validation set. Logistic regression revealed no significant difference with SVM in the performance and outperformed VGG16 significantly. As extrahepatic metastasis workups, such as chest CT and bone scintigraphy, are standard but exhaustive, radiomic model facilitates a cost-effective method for stratifying HCC patients into eligibility groups of these workups.
Scoliosis, characterized by spine deformity, is most common in adolescent idiopathic scoliosis (AIS). Manual Cobb angle measurement limitations underscore the need for automated tools. This study ...employed a vertebral landmark extraction method and Feedforward Neural Network (FNN) to predict scoliosis progression in 79 AIS patients. The novel intervertebral angles matrix format showcased results. The mean absolute error for the intervertebral angle progression was 1.5 degrees, while the Pearson correlation of the predicted Cobb angles was 0.86. The accuracy in classifying Cobb angles (<15°, 15–25°, 25–35°, 35–45°, >45°) was 0.85, with 0.65 sensitivity and 0.91 specificity. The FNN demonstrated superior accuracy, sensitivity, and specificity, aiding in tailored treatments for potential scoliosis progression. Addressing FNNs’ over-fitting issue through strategies like “dropout” or regularization could further enhance their performance. This study presents a promising step towards automated scoliosis diagnosis and prognosis.
Objective: Conventional open saphenous vein harvest (OVH) for coronary artery bypass graft surgery is often associated with significant pain and morbidity. This study aims to determine whether ...endoscopic saphenous vein harvest (EVH) reduces leg wound morbidity and improves patient satisfaction as compared to OVH in Asian population. Methods: Between March 2005 and June 2006, 120 patients who underwent isolated CABG were prospectively randomized into EVH (n = 60) and OVH (n = 60) groups. VirtuoSaph™ (Terumo Cardiovascular Corp., Ann Arbor, MI, USA) harvesting system was used for EVH. We analyzed leg wound complications (ASEPSIS score), postoperative pain, satisfaction, and clinical outcomes. Fisher's exact test and Mann‐Whitney U test were used for categorical and continuous variables analysis respectively. Results: Six patients in the EVH group required conversion to open technique. Both groups had matched demographic characteristics and risk factors. Mean numbers of grafts performed were 3.2 ± 0.6 (EVH n = 54) and 3.0 ± 0.7 (OVH n = 60) (p = 0.03). ASEPSIS scores at postoperation days three, seven, and 21 were significantly lower in the EVH group than the OVH group (p = 0.02, p = 0.002 and p = 0.01, respectively). Wound pain scores at postoperative days three, seven, and 21 were significantly lower in the EVH group (p = 0.000, p = 0.001 and p = 0.000 respectively). Wound numbness was found in 5.7% of the EVH group and 33.3% of the OVH group patients (p = 0.01). Six patients required conversion to open technique. There was one hospital mortality (OVH group) and major postoperative complications were not significantly different between the groups. Conclusion: EVH system is a safe and effective alternative to OVH with better wound healing, reduced postoperative pain, and wound numbness. However, the higher conversion rate to OVH in Asian patients requires further evaluation.
