Timmermannbengtson6286

7%, P  less then  0.05). There was no significant difference in local-regional tumor responses of 1-month follow-up between Angio-CT group and CBCT group (P = 0.831). The median PFS and OS time of Angio-CT group were 14.7 ± 1.43 months and 18.21 ± 0.88 months, CBCT group were 13.9 ± 1.53 months and 17.87 ± 1.78 months, TACE group were 10.4 ± 1.21 months and 12.87 ± 0.91 months, respectively. No procedure-related major complications occurred. CONCLUSIONS MIYABI Angio-CT or CBCT-guided immediate RFA after TACE for large HCC both have more effective than single TACE. The former is worth popularizing, due to its advantages of convenience, shorter operative time, and less radiation dose for doctors.PURPOSE To compare the differences of MR features between mass-forming intrahepatic cholangiocarcinoma (IMCC) with and without lymph node metastasis (LNM) and to search for new imaging biomarkers for predicting LNM. MATERIALS AND METHODS The study included 91 patients with histopathologically confirmed single IMCC (20 patients with LNM and 71 patients without LNM). Findings of preoperative MR imaging including diffusion-weighted imaging (DWI) (b value 0, 500 mm2/s) were analyzed and apparent diffusion coefficient (ADC) values (b = 500 mm2/s) were calculated. Logistic regression analysis was performed to identify independent predictors of LNM. The diagnostic performance of independent predictors was assessed by receiver operating characteristic (ROC) and area under the curve (AUC) was compared. RESULTS Larger tumor size (p = 0.001), diameter of largest lymph node (LN) > 1 cm (p  1 cm.PURPOSE To evaluate the use of real-time shear wave elastography (SWE) in the assessment of renal elasticity and the efficacy of steroid treatment in adult idiopathic nephrotic syndrome (INS). METHODS This study included 120 patients with INS. Patients were divided into steroid-sensitive and steroid-resistant groups. Selleckchem SPOP-i-6lc Renal biopsy was performed. Thirty healthy subjects were recruited as controls. Young's modulus (YM) of the renal parenchyma was measured by SWE. The YM values in each group were compared using glomerular sclerosis index (GI) and renal interstitial fibrosis (RIF). RESULTS The YM values were significantly different between the INS and control groups, as well as between the steroid-sensitive and steroid-resistant groups (P  less then  0.05). Higher YM values were associated with steroid sensitivity. The area under the receiver operating characteristic curve for the YM value in the INS group vs. control group was 0.871 (95% CI 0.815-0.927) and in the steroid-resistant group vs. control, and steroid-sensitive groups was 0.836 (95% CI 0.765-0.908). The corresponding cut-off values were 7.96 and 10.73 m/s, with 81.7% and 86.0% sensitivities, 93.3% and 77.9% specificities, and Youden index 0.750 and 0.639, respectively. Spearman correlation analysis showed that the YM value in the renal parenchyma was positively correlated with GI (r = 0.631, P  less then  0.05) and RIF (r = 0.606, P  less then  0.05). CONCLUSION SWE technology is a potential method for non-invasive quantitative measurement of renal parenchyma stiffness to determine the pathological changes of INS renal parenchyma and evaluate the effectiveness of steroid therapy.The objective is to establish whether a pattern of intestinal dysbiosis exists in calcium oxalate (CaOx) lithiasis and, if so, to identify its characteristics and explore whether there are differences in the pattern between CaOx dihydrate (COD) and monohydrate (COM) lithiasis. With this aim 24 patients diagnosed with CaOx lithiasis by means of optical microscopy and spectrometry were prospectively recruited. Faecal analysis was carried out by means of RT-PCR 16S rRNA assay and agar plate culture according to the methodology proposed by the Institute of Microecology (Herborn, Germany). The total number of bacteria was depleted due to COD lithiasis (p = 0.036). The mean values of immunoregulating microbiota were normal, but the percentage of normal values was lower in the COD group (30%) than in the COM group (69.2%) (p = 0.062). The total mean values of protective microbiota were normal in both groups. There was a large decrease in the mean values of the muconutritive microbiota Akkermansia muciniphila and Faecalibacterium prausnitzii, the most intense decline being observed in the COD group (p = 0.019). Levels of proteolytic microbiota were elevated in both groups, without differences between them. We conclude that patients with CaOx lithiasis have a chronic pro-inflammatory intestinal dysbiosis pattern characterised by a reduction in the total number of bacteria, a reduction in immunoregulating microbiota and a large reduction in muconutritive microbiota that is significantly more intense in COD lithiasis than in COM lithiasis.The objectives were to develop and validate a Convolutional Neural Network (CNN) using local features for differentiating distal ureteral stones from pelvic phleboliths, compare the CNN method with a semi-quantitative method and with radiologists' assessments and to evaluate whether the assessment of a calcification and its local surroundings is sufficient for discriminating ureteral stones from pelvic phleboliths in non-contrast-enhanced CT (NECT). We retrospectively included 341 consecutive patients with acute renal colic and a ureteral stone on NECT showing either a distal ureteral stone, a phlebolith or both. A 2.5-dimensional CNN (2.5D-CNN) model was used, where perpendicular axial, coronal and sagittal images through each calcification were used as input data for the CNN. The CNN was trained on 384 calcifications, and evaluated on an unseen dataset of 50 stones and 50 phleboliths. The CNN was compared to the assessment by seven radiologists who reviewed a local 5 × 5 × 5 cm image stack surrounding each calcification, and to a semi-quantitative method using cut-off values based on the attenuation and volume of the calcifications. The CNN differentiated stones and phleboliths with a sensitivity, specificity and accuracy of 94%, 90% and 92% and an AUC of 0.95. This was similar to a majority vote accuracy of 93% and significantly higher (p = 0.03) than the mean radiologist accuracy of 86%. The semi-quantitative method accuracy was 49%. In conclusion, the CNN differentiated ureteral stones from phleboliths with higher accuracy than the mean of seven radiologists' assessments using local features. However, more than local features are needed to reach optimal discrimination.