Chungpyesagan-tang is one of the most well-known traditional herbal formulations frequently used for treatment of acute stroke in Korea. Therefore, this study aims to assess the clinical safety and efficacy of chungpyesagan-tang on acute ischemic stroke. We recruited acute cerebral infarction subjects within 1 week after onset time. Then, we prescribed chungpyesagan-tang to an Oriental medical treatment group (OM-group) for 2 weeks and enrolled a Western medical treatment group (WM-group) which received only Western biomedical care as a control. In this study, the OM-group was composed of 75 subjects. However, 14 of them dropped out, as two had progressive stroke while 12 complained of diarrhea. Thus, 61 cases were included in the analysis and compared to the 76 cases of the WM-group. The improvement of OM-group was better than that of the WM-group according to the National Institute of Health Stroke Scale (NIHSS), but not by the Modified Barthel Index (MBI). There were no definite abnormalities on labortory safety asessment. Therefore, we suggest that chungpyesagan-tang may have therapeutic effects, acting to reduce the severity of stroke and improving functional recovery without definite hepatic or renal toxicity when given for the first 2 weeks after a stroke.

Weight bearing whole-leg radiograph (WLR) is essential to assess lower limb alignment such as weight bearing line (WBL) ratio. The purpose of this study was to develop a deep learning (DL) model that predicts the WBL ratio using knee standing AP alone. Total of 3997 knee AP & WLRs were used. WBL ratio was used for labeling and analysis of prediction accuracy. The WBL ratio was divided into seven categories (0, 0.1, 0.2, 0.3, 0.4, 0.5, and 0.6). After training, performance of the DL model was evaluated. Final performance was evaluated using 386 subjects as a test set. Cumulative score (CS) within error range 0.1 was set with showing maximum CS in the validation set (95% CI, 0.924–0.970). In the test set, mean absolute error was 0.054 (95% CI, 0.048–0.061) and CS was 0.951 (95% CI, 0.924–0.970). Developed DL algorithm could predict the WBL ratio on knee standing AP alone with comparable accuracy as the degree primary physician can assess the alignment. It can be the basis for developing an automated lower limb alignment assessment tool that can be used easily and cost-effectively in primary clinics.

ObjectivesTo evaluate the diagnostic performance and image quality of an iterative model-based reconstruction (IMR) using a 100-kVp protocol for the assessment of heavily calcified coronary vessels, compared to those of filtered back projection (FBP) and hybrid iterative technique (iDose4), and also compared to those of IMR with standard 120 kVp protocol.MethodsAmong patients with Agatston scores ≥ 400 who had undergone both coronary CT angiography (CCTA) and invasive coronary angiography (ICA), age- and sex-matched patients with body mass index < 30 were retrospectively enrolled from CCTA with low-kVp protocol (100 kVp, n = 30) and with standard-kVp protocol (120 kVp, n = 30). Image data were all reconstructed with FBP, iDose4, and IMR. In each dataset, the objective and subjective image quality, and diagnostic accuracy (> 50% in luminal reduction as compared with ICA) were assessed.ResultsIMR showed better objective and subjective image quality than FBP and iDose4 in both 100 kVp and 120 kVp groups (all p < 0.05). IMR showed a significantly improved all diagnostic performance compared with FBP (p < 0.05). Compared with iDose4, IMR significantly improved positive predictive value (85.0% vs. 80.5%; p < 0.05). There was no significant difference in image quality and diagnostic performance using IMR between the 100 kVp and 120 kVp groups.Conclusions100 kVp IMR may be useful for the assessment of heavily calcified coronary vessels, providing better diagnostic performance than FBP or iDose4 at the same dose, while maintaining similar diagnostic accuracy to 120 kVp IMR.

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