Comparative evaluation of multiparametric lumbar MRI radiomic models for detecting osteoporosis.

Background: Osteoporosis is a serious global public health issue. Currently, there are few studies that explore the use of multiparametric MRI radiomics for osteoporosis detection. The purpose of this study was to compare the performance of radiomics features from multiple MRI sequences (T1WI, T2WI and T1WI combined with T2WI) for detecting osteoporosis in patients.

Prediction of early hematoma expansion of spontaneous intracerebral hemorrhage based on deep learning radiomics features of noncontrast computed tomography.

Objectives: Aimed to develop a nomogram model based on deep learning features and radiomics features for the prediction of early hematoma expansion.

Methods: A total of 561 cases of spontaneous intracerebral hemorrhage (sICH) with baseline Noncontrast Computed Tomography (NCCT) were included. The metrics of hematoma detection were evaluated by Intersection over Union (IoU), Dice coefficient (Dice), and accuracy (ACC).

Risk stratification by nomogram of deep learning radiomics based on multiparametric magnetic resonance imaging in knee meniscus injury.

Purpose: To construct and validate a nomogram model that integrated deep learning radiomic features based on multiparametric MRI and clinical features for risk stratification of meniscus injury.

Methods: A total of 167 knee MR images were collected from two institutions. All patients were classified into two groups based on the MR diagnostic criteria proposed by Stoller et al.

Radiomics Based on DCE-MRI Improved Diagnostic Performance Compared to BI-RADS Analysis in Identifying Sclerosing Adenosis of the Breast.

Purpose: Sclerosing adenosis (SA) is a benign lesion that could mimic breast carcinoma and be evaluated as malignancy by Breast Imaging-Reporting and Data System (BI-RADS) analysis. We aimed to construct and validate the performance of radiomic model based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) compared to BI-RADS analysis to identify SA.

Methods: Sixty-seven patients with invasive ductal carcinoma (IDC) and 58 patients with SA were included in this retrospective study from two institutions.

A Nomogram Combined Radiomics and Kinetic Curve Pattern as Imaging Biomarker for Detecting Metastatic Axillary Lymph Node in Invasive Breast Cancer.

To construct and validate a nomogram model integrating the magnetic resonance imaging (MRI) radiomic features and the kinetic curve pattern for detecting metastatic axillary lymph node (ALN) in invasive breast cancer preoperatively. Materials and Methods: A total of 145 ALNs from two institutions were classified into negative and positive groups according to the pathologic or surgical results. One hundred one ALNs from institution I were taken as the training cohort, and the other 44 ALNs from institution II were taken as the external validation cohort.

Risk stratification of thymic epithelial tumors by using a nomogram combined with radiomic features and TNM staging.

Objectives: To construct and validate a nomogram model that integrated the CT radiomic features and the TNM staging for risk stratification of thymic epithelial tumors (TETs).

Methods: A total of 136 patients with pathology-confirmed TETs who underwent CT examination were collected from two institutions. According to the WHO pathological classification criteria, patients were classified into low-risk and high-risk groups.

A Nomogram Model of Radiomics and Satellite Sign Number as Imaging Predictor for Intracranial Hematoma Expansion.

Background: We aimed to construct and validate a nomogram model based on the combination of radiomic features and satellite sign number for predicting intracerebral hematoma expansion.

Methods: A total of 129 patients from two institutions were enrolled in this study. The preprocessed initial CT images were used for radiomic feature extraction.

A Nomogram Combined Radiomic and Semantic Features as Imaging Biomarker for Classification of Ovarian Cystadenomas.

To construct and validate a combined Nomogram model based on radiomic and semantic features to preoperatively classify serous and mucinous pathological types in patients with ovarian cystadenoma. A total of 103 patients with pathology-confirmed ovarian cystadenoma who underwent CT examination were collected from two institutions. All cases divided into training cohort ( = 73) and external validation cohort ( = 30).

Identifying BAP1 Mutations in Clear-Cell Renal Cell Carcinoma by CT Radiomics: Preliminary Findings.

To evaluate the potential application of computed tomography (CT) radiomics in the prediction of BRCA1-associated protein 1 () mutation status in patients with clear-cell renal cell carcinoma (ccRCC). In this retrospective study, clinical and CT imaging data of 54 patients were retrieved from The Cancer Genome Atlas-Kidney Renal Clear Cell Carcinoma database. Among these, 45 patients had wild-type and nine patients had mutation.

New Preoperative Nomogram Using the Centrality Index to Predict High Nuclear Grade Clear Cell Renal Carcinoma.

Objective: Nuclear grading is an independent prognosis factor of clear-cell renal cell carcinoma (ccRCC). A non-invasive preoperative predictive WHO/International Society of Urologic Pathology (WHO/ISUP) grading of ccRCC model is needed for clinical use. The anatomical complexity scoring system can span a variety of image modalities.

Metabolic effects induced by chronic stress in the amygdala of diabetic rats: A study based on ex vivo H NMR spectroscopy.

Diabetic patients are prone to suffer from multifarious stressful stimuli in a long-term, which play as an important risk factor for poor prognosis of the disease. Both human and rodent studies have clarified metabolic alterations in several brain regions of patients and experimental models with chronic stress exposure and diabetes. However, metabolic evidences for chronic stress related neurochemical changes in amygdala of diabetic brains have never been explored.

Palliative Resection of Primary Tumor in Metastatic Nonfunctioning Pancreatic Neuroendocrine Tumors.

Background: Whether primary tumor resection is beneficial in patients with metastatic nonfunctioning pancreatic neuroendocrine tumors (NF-pNETs) remains unclear. This study aimed to investigate whether palliative resection of primary tumor affected the survival of patients with stage IV NF-pNETs.

Methods: We collected data from patients with stage IV NF-pNET registered in the Surveillance, Epidemiology, and End Results database from 2004 to 2015.

CT texture analysis: a potential tool for predicting the Fuhrman grade of clear-cell renal carcinoma.

Background: The purpose of this study was to analyze the image heterogeneity of clear-cell renal-cell carcinoma (ccRCC) by computer tomography texture analysis and to provide new objective quantitative imaging parameters for the pre-operative prediction of Fuhrman-grade ccRCC.

Methods: A retrospective analysis of 131 cases of ccRCCs was performed by manually depicting tumor areas. Then, histogram-based texture parameters were calculated.

Quantitative parameters of CT texture analysis as potential markersfor early prediction of spontaneous intracranial hemorrhage enlargement.

Objective: To objectively quantify intracranial hematoma (ICH) enlargement by analysing the image texture of head CT scans and to provide objective and quantitative imaging parameters for predicting early hematoma enlargement.

Methods: We retrospectively studied 108 ICH patients with baseline non-contrast computed tomography (NCCT) and 24-h follow-up CT available. Image data were assessed by a chief radiologist and a resident radiologist.

Prognostic role of the primary tumour site in patients with operable small intestine and gastrointestinal stromal tumours: a large population-based analysis.

The postoperative recurrence risk of gastrointestinal stromal tumour (GIST) should be estimated when considering adjuvant systemic therapy. Previous studies in the literature have suggested that small intestinal GISTs are more aggressive than gastric GISTs. We assessed the prognostic role of the primary tumour site in patients with operable GIST to compare the outcomes of gastric and small intestinal GISTs over a decade of treatment.

The growth and pluripotency of mesenchymal stem cell on the biodegradable polyurethane synthesized with ferric catalyst.

Polyurethane (PU) is a class of polymers that have been applied for tissue-engineering scaffolds. Cross-linked poly(ester urethane) (CPU), synthesized with ferric catalyst in our laboratory, was modified by silk fibroin (SF) grafting using our aminolysis and glutaradehyde crosslinking method. The physical and chemical properties of the materials were investigated by scanning electron microscope (SEM), atomic force microscope (AFM) and tensile tester.

[Mixed logit model and its application in insurance choices of the new rural cooperative medical system].

Objective: To apply mixed logit model for analyzing the data of new rural cooperative medical with suitability and identify the factors affecting the residents choices of insurance mode.

Methods: Hypothesis test of IIA was performed using the mogtest module of Stata10.0 to test the eligibility of the condition.

A novel dual PI3Kalpha/mTOR inhibitor PI-103 with high antitumor activity in non-small cell lung cancer cells.

PI-103, the first synthetic multitargeted compound which simultaneously inhibits PI3Kalpha and mammalian target of rapamycin (mTOR) shows high antitumor activity in glioma xenografts. In the present study, clear antitumor activity was observed with PI-103 treatment in two gefitinib-resistant non-small cell lung cancer (NSCLC) cell lines, A549 and H460, by simultaneously inhibiting p70s6k phosporylation and Akt phosphorylation in response to mTOR inhibition. In addition, H460 cells with activating mutations of PIK3CA were more sensitive to PI-103 than A549 cells with wild-type PIK3CA.

Contribution of Kv channel subunits to glutamate-induced apoptosis in cultured rat hippocampal neurons.

Potassium channel dysfunction has been implicated in apoptosis in many pathological conditions. However, which Kv channel subunit is involved in glutamate-induced apoptosis remains unknown. In this study, the contributions of nine Kv alpha and three Kv beta subunits to glutamate-induced hippocampal neuronal apoptosis were investigated.

[An age-period-cohort modelling study on primary liver cancer incidence rate in Qidong].

Objective: To analyze the incidence trends of primary liver cancer (PLC) in Qidong.

Methods: Data of PLC incidence from 1975 to 1999 in Qidong were analyzed to delineate temporal trends and birth cohort patterns, using age-period-cohort models.

Results: Significant moderation or decreasing trends were began to notice in incidence rates on cohorts born in 1913 - 1917 and 1958 - 1962.