Mayodennis7105

Few studies have addressed radiomics based differentiation of Glioblastoma (GBM) and intracranial metastatic disease (IMD). However, the effect of different tumor masks, comparison of single versus multiparametric MRI (mp-MRI) or select combination of sequences remains undefined. We cross-compared multiple radiomics based machine learning (ML) models using mp-MRI to determine optimized configurations. Our retrospective study included 60 GBM and 60 IMD patients. Forty-five combinations of ML models and feature reduction strategies were assessed for features extracted from whole tumor and edema masks using mp-MRI [T1W, T2W, T1-contrast enhanced (T1-CE), ADC, FLAIR], individual MRI sequences and combined T1-CE and FLAIR sequences. Model performance was assessed using receiver operating characteristic curve. For mp-MRI, the best model was LASSO model fit using full feature set (AUC 0.953). FLAIR was the best individual sequence (LASSO-full feature set, AUC 0.951). For combined T1-CE/FLAIR sequence, adaBoost-full feature set was the best performer (AUC 0.951). No significant difference was seen between top models across all scenarios, including models using FLAIR only, mp-MRI and combined T1-CE/FLAIR sequence. Top features were extracted from both the whole tumor and edema masks. Shape sphericity is an important discriminating feature.Delayed graft function (DGF) is a strong risk factor for development of interstitial fibrosis and tubular atrophy (IFTA) in kidney transplants. Quantitative assessment of inflammatory infiltrates in kidney biopsies of DGF patients can reveal predictive markers for IFTA development. In this study, we combined multiplex tyramide signal amplification (mTSA) and convolutional neural networks (CNNs) to assess the inflammatory microenvironment in kidney biopsies of DGF patients (n = 22) taken at 6 weeks post-transplantation. Patients were stratified for IFTA development ( less then 10% versus ≥10%) from 6 weeks to 6 months post-transplantation, based on histopathological assessment by three kidney pathologists. One mTSA panel was developed for visualization of capillaries, T- and B-lymphocytes and macrophages and a second mTSA panel for T-helper cell and macrophage subsets. The slides were multi spectrally imaged and custom-made python scripts enabled conversion to artificial brightfield whole-slide images (WSI). Wdensity (R = 0.74, p  less then  0.001). Our study demonstrates that CNNs can be used to leverage reliable, quantitative results from mTSA-stained, multi spectrally imaged slides of kidney transplant biopsies.The PHLDA3 gene encodes a small 127 amino acid protein with a pleckstrin homology (PH)-only domain. The expression and significance of PHLDA3 in lung cancer remain unclear. Here, we investigated the role of PHLDA3 in tumor proliferation and invasion in lung adenocarcinoma. Immunohistochemistry and immunoblotting analyses were used to assess PHLDA3 expression in lung cancer tissues, and its correlation with clinicopathological factors in lung cancer. Plasmids encoding PHLDA3 and small interfering RNA against PHLDA3 were used to regulate the expression of PHLDA3 in lung cancer cells. Furthermore, the effects of PHLDA3 on lung cancer cell proliferation and invasion were investigated using the MTS, colony formation, Matrigel invasion, and wound healing assays. Co-immunoprecipitation analysis and inhibitors of both the Wnt signaling pathway and GSK3β were used to explore the regulatory mechanisms underlying the role of PHLDA3 in lung cancer cells. Cell Cycle inhibitor PHLDA3 was found to be overexpressed in lung cancer tissues, and its expression was correlated with poor outcomes in lung adenocarcinoma patients. PHLDA3 expression promoted the proliferation, invasion, and migration of lung cancer cells. Overexpression of PHLDA3 activated the Wnt signaling pathway and facilitated epithelial-mesenchymal transition. Inhibition of Wnt signaling pathway activity, using XAV-939, reversed the effects of PHLDA3 overexpression in lung cancer cells; moreover, PHLDA3 could bind to GSK3β. Inhibition of GSK3β activity, using CHIR-99021, restored the proliferative and invasive abilities of PHLDA3 knockdown cells. Our findings demonstrate that PHLDA3 is highly expressed in lung adenocarcinomas and is correlated with poor outcomes. Furthermore, it promotes the proliferation and invasion of lung cancer cells by activating the Wnt signaling pathway.The aims of this study were to evaluate the feasibility of the New Zealand White (NZW) rabbit for studying implanted biomaterials in pelvic reconstructive surgery; and to compare the occurrence of graft-related complications of a commercial polypropylene (PP) mesh and new developed human dermal matrix implanted at vaginal and abdominal level. 20 white female NZW rabbits were randomized into two groups, experimental group (human acellular dermal matrices-hADM-graft) and control group (commercial PP graft). In each animal, grafts were surgically implanted subcutaneously in the abdominal wall and in the vaginal submucosa layer for 180 days. The graft segments were then removed and the surgical and clinical results were analyzed. The main surgical challenges during graft implantation were (a) an adequate vaginal exposure while maintaining the integrity of the vaginal mucosa layer; (b) to keep aseptic conditions; (c) to locate and dissect the breast vein abdominal surgery; and (d) to withdraw blood samples from the ear artery. The most abnormal findings during the explant surgery were found in the PP group (33% of vaginal mesh extrusion) in comparison with the hADM group (0% of vaginal graft extrusion), p = 0.015. Interestingly, macroscopic observation showed that the integration of the vaginal grafts was more common in the hADM group (40%) than in the PP group, in which the vaginal mesh was identified in 100% of the animals (p = 0.014). The NZW rabbit is a good model for assessing materials to be used as grafts for pelvic reconstructive surgery and vaginal surgery. Animals are easily managed during the procedures, including surgical intervention and vaginal mucosa approach. Additionally, hADM is associated with fewer clinical complications, as well as better macroscopic tissue integration, compared to PP mesh.