Segmentation of kidney lesions with attention model based on Deeplab

We participate this challenge by developing a hierarchical framework. We build the model from two fully convolutional networks: (1) a simple Unet model to normalize the input iamges, (2) a segmentaion network which is an attention model based on Deeplab model. Two models are connected in tandem and trained end-to-end. To ensure a better results, we use the preprocess method proposed by nnUnet in our experiments

Dual Energy Spectral CT Imaging for Colorectal Cancer Grading: A Preliminary Study

ObjectivesTo assess the diagnostic value of dual energy spectral CT imaging for colorectal cancer grading using the quantitative iodine density measurements in both arterial phase (AP) and venous phase (VP).Methods81 colorectal cancer patients were divided into two groups based on their pathological findings: a low grade group including well (n = 13) and moderately differentiated cancer (n = 24), and a high grade group including poorly differentiated (n = 42) and signet ring cell cancer (n = 2). Iodine density (ID) in the lesions was derived from the iodine-based material decomposition (MD) image and normalized to that in the psoas muscle to obtain normalized iodine density (NID). The difference in ID and NID between AP and VP was calculated.ResultsThe ID and NID values of the low grade cancer group were, 14.65±3.38mg/mL and 1.70±0.33 in AP, and 21.90±3.11mg/mL and 2.05± 0.32 in VP, respectively. The ID and NID values for the high grade cancer group were 20.63±3.72mg/mL and 2.95±0.72 in AP, and 26.27±3.10mg/mL and 3.51±1.12 in VP, respectively. There was significant difference for ID and NID between the low grade and high grade cancer groups in both AP and VP (all p<0.001). ROC analysis indicated that NID of 1.92 in AP provided 70.3% sensitivity and 97.7% specificity in differentiating low grade cancer from high grade cancer.ConclusionsThe quantitative measurement of iodine density in AP and VP can provide useful information to differentiate low grade colorectal cancer from high grade colorectal cancer with NID in AP providing the greatest diagnostic value

Dental Follicle Stem Cells Ameliorate Lipopolysaccharide-Induced Inflammation by Secreting TGF-β3 and TSP-1 to Elicit Macrophage M2 Polarization

Background/Aims: Increasing evidence has demonstrated the novel roles of mesenchymal stem cells (MSCs) in immunotherapy. However, difficulty in acquiring these cells and possible ethical issues limited their application. Recently, we have isolated a unique MSC population from dental follicles with potent stem cell-like properties. This study focused on the effects of dental follicle stem cells (DFSCs) on macrophage activation and polarization to determine their role in immunomodulation and to test if DFSCs are a promising cell source for MSC-based immunotherapy. Methods: Rat acute lung injury (ALI) models induced by Lipopolysaccharide (LPS) were applied to test the immune-modulatory effects of DFSC/DFSC-CM in vivo. The pulmonary permeability was determined by the dry / wet weight ratios of the left upper lung lobe. The lung histopathological damage was graded on a 0 to 4+ scale. And the inflammatory cytokines in bronchoalveolar lavage fluid (BALF) were tested by ELISA. Then we established LPS-induced inflamed macrophage models in vitro. Inflammatory cytokine production and polarization marker expression were measured by RT-qPCR, ELISA, western blot and flow cytometric analysis in macrophages following DFSC-CM treatment. The paracrine factors in DFSC-CM were revealed by a RayBiotech Protein Array. Thereafter, neutralization studies were performed to confirm the potential immune regulators in DFSC-CM. Results: The DFSC/DFSC-CM not only attenuated histopathological damage and pulmonary permeability, but also downregulated pro-inflammatory cytokines MCP-1, IL-1, IL-6 and TNF-α, and upregulated anti-inflammatory cytokine IL-10 in BALF. Immunofluorescence staining revealed the increased expression of macrophage M2 marker Arg-1. Further in vitro study revealed that macrophages switched to an anti-inflammatory M2 phenotype when co-cultured with DFSC-CM, characterized by suppressed production of pro-inflammatory cytokines MCP-1, IL-1, IL-6, TNF-α and M1-polarizing markers iNOS and CD86; and increased expression of the anti-inflammatory cytokine IL-10 and the M2-polarizing markers Arg-1 and CD163. A RayBiotech Protein Array revealed 42 differentially expressed (&#x3e; 2-fold) paracrine factors in DFSC-CM compared with the serum-free Ham’s F-12K medium, among which TGF-β3 and Thrombospondin-1 (TSP-1) were upregulated by 18- and 105-fold, respectively. Neutralization studies confirmed the immunoregulatory roles of TGF-β3 and TSP-1 in macrophage activation and polarization. Conclusion: These results indicated that DFSCs can reprogram macrophages into the anti-inflammatory M2 phenotype, the paracrine factors TGF-β3 and TSP-1 may be one of the underlying mechanisms. This study supports the hypothesis that DFSCs are promising for MSC-based immunotherapy

An immune-related prognostic model predicts neoplasm-immunity interactions for metastatic nasopharyngeal carcinoma

BackgroundThe prognosis of nasopharyngeal carcinoma (NPC) has been recognized to improve immensely owing to radiotherapy combined with chemotherapy. However, patients with metastatic NPC have a poor prognosis. Immunotherapy has dramatically prolonged the survival of patients with NPC. Hence, further research on immune-related biomarkers is imperative to establish the prognosis of metastatic NPC.Methods10 NPC RNA expression profiles were generated from patients with or without distant metastasis after chemoradiotherapy from the Fujian Cancer Hospital. The differential immune-related genes were identified and validated by immunohistochemistry analysis. The method of least absolute shrinkage and selection operator (LASSO)was used to further establish the immune-related prognostic model in an external GEO database (GSE102349, n=88). The immune microenvironment and signal pathways were evaluated in multiple dimensions at the transcriptome and single-cell levels.Results1328 differential genes were identified, out of which 520 were upregulated and 808 were downregulated. Notably, most of the immune genes and pathways were down-regulated in the metastasis group. A prognostic immune model involving nine hub genes. Patients in low-risk group were characterized by survival advantage, hot immune phenotype and benefit from immunotherapy. Compared with immune cells, malignant cell exhibited the most active levels of risk score by ssGSEA. Accordingly, intercellular communications including LT, CD70, CD40 and SPP1, and the like, between high-risk and low-risk were explored by the R package “Cellchat”.ConclusionWe have constructed a model based on immunity of metastatic NPC and determined its prognostic value. The model identified the level of immune cell infiltration, cell-cell communication, along with potential immunotherapy for metastatic NPC

Snowmass Theory Frontier: Effective Field Theory

We summarize recent progress in the development, application, and understanding of effective field theories and highlight promising directions for future research. This Report is prepared as the TF02 "Effective Field Theory" topical group summary for the Theory Frontier as part of the Snowmass 2021 process.Comment: 12 page

catena-Poly[[[diaquadiformatonickel(II)]-&amp;#956;-1,4-bis(1H-benzimidazol-1-yl)benzene] dihydrate]

In the title one-dimensional coordination polymer, {[Ni(CHO2)2(C20H14N4)(H2O)2]&amp;#183;2H2O}n, the NiII atom lies on a crystallographic inversion centre. It is coordinated by two formate O atoms, two water O atoms and two N atoms from two 1,4-bis(1H-benzimidazol-1-yl)benzene (bzb) ligands, resulting in a distorted trans-NiN2O4 octahedral coordination geometry. The bzb molecule acts as a bridging ligand to connect the metal atoms into a chain propagating in [1-1-1]. The dihedral angle between the benzimidazole ring and the central benzene ring in the ligand is 38.16&amp;#8197;(9)&amp;#176;. In the crystal, O&amp;#8212;H...O hydrogen bonds crosslink the chains into (010) sheets