Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.

Purpose: To develop and validate a deep learning radiomics (DLR) model that uses X-ray images to predict the classification of osteoporotic vertebral fractures (OVFs). Material and methods: The study encompassed a cohort of 942 patients, involving examinations of 1076 vertebrae through X-ray, CT, and MRI across three distinct hospitals. The OVFs were categorized as class 0, 1, or 2 based on the Assessment System of Thoracolumbar Osteoporotic Fracture. The dataset was divided randomly into four distinct subsets: a training set comprising 712 samples, an internal validation set with 178 samples, an external validation set containing 111 samples, and a prospective validation set consisting of 75 samples. The ResNet-50 architectural model was used to implement deep transfer learning (DTL), undergoing -pre-training separately on the RadImageNet and ImageNet datasets. Features from DTL and radiomics were extracted and integrated using X-ray images. The optimal fusion feature model was identified through least absolute shrinkage and selection operator logistic regression. Evaluation of the predictive capabilities for OVFs classification involved eight machine learning models, assessed through receiver operating characteristic curves employing the "One-vs-Rest" strategy. The Delong test was applied to compare the predictive performance of the superior RadImageNet model against the ImageNet model. Results: Following pre-training separately on RadImageNet and ImageNet datasets, feature selection and fusion yielded 17 and 12 fusion features, respectively. Logistic regression emerged as the optimal machine learning algorithm for both DLR models. Across the training set, internal validation set, external validation set, and prospective validation set, the macro-average Area Under the Curve (AUC) based on the RadImageNet dataset surpassed those based on the ImageNet dataset, with statistically significant differences observed (P<0.05). Utilizing the binary "One-vs-Rest" strategy, the model based on the RadImageNet dataset demonstrated superior efficacy in predicting Class 0, achieving an AUC of 0.969 and accuracy of 0.863. Predicting Class 1 yielded an AUC of 0.945 and accuracy of 0.875, while for Class 2, the AUC and accuracy were 0.809 and 0.692, respectively. Conclusion: The DLR model, based on the RadImageNet dataset, outperformed the ImageNet model in predicting the classification of OVFs, with generalizability confirmed in the prospective validation set.

Mice harboring the T316N variant in the GABAAR γ2 subunit exhibit sleep-related hypermotor epilepsy phenotypes and hypersynchronization in the thalamocortical pathway.

OBJECTIVE: Sleep-related hypermotor epilepsy (SHE) is a focal epilepsy syndrome characterized by seizures that predominantly occur during sleep. The pathogenesis of these seizures remains unclear. We previously detected rare variants in GABRG2, which encodes the γ2 subunit of γ-aminobutyric acid type A receptor (GABAAR), in patients with SHE and demonstrated that these variants impaired GABAAR function in vitro. However, the mechanisms by which GABRG2 variants contribute to seizure attacks during sleep remain unclear. METHODS: In this study, we designed a knock-in (KI) mouse expressing the mouse Gabrg2 T316N variant, corresponding to human GABRG2 T317N variant, using CRISPR/Cas9. Continuous video-electroencephalogram monitoring and in vivo multichannel electrophysiological recordings were performed to explore seizure susceptibility to pentylenetetrazol (PTZ), alterations in the sleep-wake cycle, spontaneous seizure patterns, and synchronized activity in the motor thalamic nuclei (MoTN) and secondary motor cortex (M2). Circadian variations in the expression of total, membrane-bound, and synaptic GABAAR subunits were also investigated. RESULTS: No obvious changes in gross morphology were detected in Gabrg2T316N/+ mice compared to their wild-type (Gabrg2+/+) littermates. Gabrg2T316N/+ mice share key phenotypes with patients, including sleep fragmentation and spontaneous seizures during sleep. Gabrg2T316N/+ mice showed increased susceptibility to PTZ-induced seizures and higher mortality after seizures. Synchronization of the local field potentials between the MoTN and M2 was abnormally enhanced in Gabrg2T316N/+ mice during light phase, when sleep dominates, accompanied by increased local activities in the MoTN and M2. Interestingly, in Gabrg2+/+ mice, GABAAR γ2 subunits showed a circadian increase on the neuronal membrane and synaptosomes in the transition from dark phase to light phase, which was absent in Gabrg2T316N/+ mice. CONCLUSION: We generated a new SHE mouse model and provided in vivo evidence that rare variants of GABRG2 contribute to seizure attacks during sleep in SHE.

A novel cancer-germline gene DAZL promotes progression and cisplatin resistance of non-small cell lung cancer by upregulating JAK2 and MCM8.

Germline-specific genes are usually activated in cancer cells and drive cancer progression; such genes are called cancer-germline or cancer-testis genes. The RNA-binding protein DAZL is predominantly expressed in germ cells and plays a role in gametogenesis as a translational activator or repressor. However, its expression and role in non-small cell lung cancer (NSCLC) are unknown. Here, mining of RNA-sequencing data from public resources and immunohistochemical analysis of tissue microarrays showed that DAZL was expressed exclusively in testis among normal human tissues but ectopically expressed in NSCLC tissues. Testis and NSCLC cells expressed the shorter and longer transcript variants of the DAZL gene, respectively. Overexpression of the longer DAZL transcript promoted tumor growth in a mouse xenograft model. Silencing of DAZL suppressed cell proliferation, colony formation, migration, invasion, and cisplatin resistance in vitro and tumor growth in vivo. Quantitative proteomic analysis based on tandem mass tag and Western blot analysis showed that DAZL upregulated the expression of JAK2 and MCM8. RNA-binding protein immunoprecipitation assays showed that DAZL bound to the mRNA of JAK2 and MCM8. The JAK2 inhibitor fedratinib attenuated the oncogenic outcomes induced by DAZL overexpression, whereas silencing MCM8 counteracted the effects of DAZL overexpression on cisplatin-damaged DNA synthesis and half-maximal inhibitory concentration of cisplatin. In conclusion, DAZL was identified as a novel cancer-germline gene that enhances the translation of JAK2 and MCM8 to promote NSCLC progression and resistance to cisplatin, respectively. These findings suggest that DAZL is a potential therapeutic target in NSCLC.

Multicellular ecotypes shape progression of lung adenocarcinoma from ground-glass opacity toward advanced stages.

Lung adenocarcinoma is a type of cancer that exhibits a wide range of clinical radiological manifestations, from ground-glass opacity (GGO) to pure solid nodules, which vary greatly in terms of their biological characteristics. Our current understanding of this heterogeneity is limited. To address this gap, we analyze 58 lung adenocarcinoma patients via machine learning, single-cell RNA sequencing (scRNA-seq), and whole-exome sequencing, and we identify six lung multicellular ecotypes (LMEs) correlating with distinct radiological patterns and cancer cell states. Notably, GGO-associated neoantigens in early-stage cancers are recognized by CD8+ T cells, indicating an immune-active environment, while solid nodules feature an immune-suppressive LME with exhausted CD8+ T cells, driven by specific stromal cells such as CTHCR1+ fibroblasts. This study also highlights EGFR(L858R) neoantigens in GGO samples, suggesting potential CD8+ T cell activation. Our findings offer valuable insights into lung adenocarcinoma heterogeneity, suggesting avenues for targeted therapies in early-stage disease.

Intentional wedge resection versus segmentectomy for ≤2 cm Ground-Glass-Opacity-Dominant Non-Small cell lung cancer: a Real-World study using inverse probability of treatment weighting.

BACKGROUND: Whether wedge resection is oncological suitable for ground glass opacity (GGO)-dominant non-small cell lung cancer (NSCLC) ≤2 cm is still debatable. The aim of this study is to investigate the short-term and long-term outcomes of intentional wedge resection and segmentectomy for those patients. MATERIALS AND METHODS: This was a real-world study from one of the largest thoracic surgery centers in XX. Patients who underwent intentional wedge resection or segmentectomy for ≤2 cm CTR(consolidation-to-tumor)≤0.5 NSCLC were consecutively included between December 2009 and December 2018. Data were prospectively collected and retrospectively reviewed. Inverse probability of treatment weighting (IPTW) was used to balance baseline characteristics. Long-term outcomes, including overall survival (OS), recurrence-free survival (RFS) and lung cancer-specific survival (LCSS), were analyzed using Cox proportional model. RESULTS: A total of 1209 patients were included (497 in the wedge resection group, 712 in the segmentectomy group). Compared to segmentectomy, wedge resection had a significantly lower rate of complications (3.8% vs. 7.7%, P=0.008), a shorter operating time (65min vs. 114min, P<0.001), and a shorter postoperative stay (3d vs. 4d, P<0.001). The median follow-up was 70.1 months. The multivariate Cox model indicated that wedge resection had survival outcomes that were similar to segmentectomy in terms of 5-year OS (98.8% vs. 99.6%, HR=1.98, 95%CI: 0.59-6.68, P=0.270), 5-year RFS (98.8% vs. 99.5%, HR=1.88, 95%CI: 0.56-6.31, P=0.307) and 5-year LCSS (99.9% vs. 99.6%, HR=1.76, 95%CI: 0.24-13.15, P=0.581). CONCLUSION: Intentional wedge resection is an appropriate choice for ≤2 cm GGO-dominant NSCLC.

New progress in the treatment of diffuse midline glioma with H3K27M alteration.

Diffuse midline glioma with H3K27 M alteration is a primary malignant tumor located along the linear structure of the brain, predominantly manifesting in children and adolescents. The mortality rate is exceptionally high, with a mere 1 % 5-year survival rate for newly diagnosed patients. Beyond conventional surgery, radiotherapy, and chemotherapy, novel approaches are imperative to enhance patient prognosis. This article comprehensively reviews current innovative treatment modalities and provides updates on the latest research advancements in preclinical studies and clinical trials focusing on H3K27M-altered diffuse midline glioma. The goal is to contribute positively to clinical treatment strategies.

Neoadjuvant chemotherapy plus concurrent chemoradiotherapy versus concurrent chemoradiotherapy alone in elderly patients with stage III-IVa nasopharyngeal carcinoma: A real-world study based on medical comorbidities.

PURPOSE: To evaluate the outcomes and toxicities of adding neoadjuvant chemotherapy (NAC) to concurrent chemoradiotherapy (CCRT) in elderly (≥65 years) patients with locoregionally advanced nasopharyngeal carcinoma (LANPC, stage III-IVa). METHODS AND MATERIALS: Using an NPC-specific database, 245 elderly patients with stage III-IVa NPC, receiving CCRT +/- NAC, and an Adult Co-morbidity Evaluation 27 (ACE-27) score <2 were included. Recursive partitioning analysis (RPA) based on TNM stage and Epstein-Barr virus (EBV) DNA were applied for risk stratification. The primary end point was disease-free survival (DFS). RESULTS: Two risk groups were generated by the RPA model. In the high-risk group (EBV DNA < 4000 copy/ml with stage IVa & EBV DNA ≥4000 copy/ml with stage III-IVa), patients treated with NAC plus CCRT achieved improved 5-year DFS rates compared to those who received CCRT alone (56.9% vs. 29.4%; p = 0.003). But we failed to observe the survival benefit of additional NAC in the low-risk group (EBV DNA <4000 copy/ml with stage III). The most common severe acute toxic effects were leucopenia (46.8% vs. 24.4%) and neutropenia (43.7% vs. 20.2%) in the NAC plus CCRT group versus CCRT group with statistically significant differences. CONCLUSIONS: The addition of NAC to CCRT was associated with better DFS for the high-risk group of elderly LANPC patients with ACE-27 score <2. However, the survival benefit of additional NAC was not observed in low-risk patients.

Optimum timing of lung resection surgery following SARS-CoV-2 infection for non-small cell lung cancer.

BACKGROUND: The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on postoperative recovery of non-small cell lung cancer (NSCLC) is need to be understood, thereby informing the optimal timing of surgical decision-making during the COVID-19 pandemic for NSCLC patients. This study reports the postoperative outcomes of surgical NSCLC patients with preoperative SARS-CoV-2 infection. METHOD: This single-center retrospective cohort study included 241 NSCLC patients who underwent lobectomy or sub-lobectomy between December 1, 2022 and February 14, 2023. Surgical outcomes of patients with preoperative SARS-CoV-2 infection (stratified by the time from diagnosis of SARS-CoV-2 infection to surgery) were compared with those without preoperative SARS-CoV-2 infection. The primary outcomes were total postoperative complications and postoperative pulmonary complications (PPCs), the secondary outcomes included operation time, total postoperative drainage and time, length of hospital stay (LOS), 30-day and 90-day postoperative symptoms. RESULTS: This study included 153 (63.5%) patients with preoperative SARS-CoV-2 infection and 88 (36.5%) patients without previous SARS-CoV-2 infection. In patients with a preoperative SARS-CoV-2 diagnosis, the incidence of total postoperative complications (OR, 3.00; 95% CI, 1.12-8.01; p = 0.028) and PPCs (OR, 4.20; 95% CI, 1.11-15.91; p = 0.035) both increased in patients infected having surgery within 2 weeks compared with non-infection before surgery. However, patients who underwent lung resection more than 2 weeks after SARS-CoV-2 diagnosis had a similar risk of postoperative complications and surgical outcomes with those non-infection before surgery. CONCLUSION: This is the first study to provide evidence regarding the optimum timing of lung resection surgery and assessing early outcomes after surgery in NSCLC patients with SARS-CoV-2 infection. Our study documents that the SARS-CoV-2 infection did not complicate surgical procedures for lung cancer, and suggest that lung surgery should be postponed at least 2 weeks after SARS-CoV-2 infection for NSCLC patients.

Etiological Changes and Prognosis of Hospitalized Patients with Acute Pancreatitis Over a 15-Year Period.

BACKGROUND: The worldwide incidence of acute pancreatitis (AP) is increasing, but the dominant etiology of AP may vary by country. Mixed etiologies are involved in the increase in the number of AP patients. AIMS: This study was to analyze the etiological changes and prognosis of AP patients and explore the prognosis of AP patients with mixed etiologies. METHODS: Using a retrospective analysis method, AP patients hospitalized from January 2007 to December 2021 were selected from a pancreatic center in Nanchang, China. Trends in the main etiologies were analyzed, and the severity and prognosis of different etiologies were compared. RESULTS: A total of 10,071 patients were included. Cholelithiasis (56.0%), hyperlipidemia (25.3%), and alcohol (6.5%) were the top three etiologies. The proportion of acute biliary pancreatitis (ABP) showed a decreasing trend, while the proportion of hypertriglyceridemic pancreatitis (HTGP) and alcoholic AP showed an increasing trend (all ptrend < 0.001). The incidence of organ failure and necrotizing pancreatitis was higher in patients with HTGP than in those with AP induced by other etiologies (all p < 0.05). There was no statistically significant difference in mortality among patients with different etiologies. Patients with AP due to a mixed hypertriglyceridemia-alcoholic etiology had higher ICU admission rates and were more severe than those with AP induced by other mixed etiologies. CONCLUSION: In the past 15 years, the proportion of ABP has trended downward, while those of HTGP and alcoholic AP have risen. Among patients with mixed etiologies, those with a mixed hypertriglyceridemia-alcoholic etiology had a worse prognosis.

Identification of telomere-associated gene signatures to predict prognosis and drug sensitivity in glioma.

OBJECTIVE: Gliomas are a heterogeneous group of brain tumors with distinct biological and clinical properties, leading to significant mortality and morbidity. Emerging evidence shows telomere maintenance has implicated in glioma susceptibility and prognosis. In this study, we comprehensively analyzed gene signatures related to telomere maintenance in glioma and their predictive values for predicting the prognosis and drug sensitivity in glioma. METHODS: We initially identified telomere-related genes differentially expressed between low-grade glioma (LGG) and glioblastoma (GBM) and accordingly developed a risk model by univariate and multivariate Cox analysis to assess the expressions of telomere-related genes across the risk groups. Finally, to assess these genes in immune function the anti-tumor medications often used in the clinical treatment of glioma, we computed immune cell infiltration analysis and drug sensitivity analysis. RESULTS: The consensus clustering analysis identified 20 telomere-related genes which split LGG patients into two distinct subtypes. The patient survival, the expressions of key telomere-related DEGs, and immune cell infiltration significantly differed between Cluster 1 and Cluster 2. The LASSO risk model [riskScore=(0.086)*HOXA7+(0.242)*WEE1+(0.247)*IGF2BP3+(0.052)*DUSP10] showed significant differences regarding the 1-, 3-, 5-year overall survival, immune cell infiltration, and drug sensitivity between high- and low-risk groups. The predictive nomogram constructed to quantify the survival probability of each sample at 1, 3, and 5 years was consistent with the actual patient survival. CONCLUSION: Our comprehensive characterization of telomere-associated gene signatures in glioma reveals their possible roles in the development, tumor microenvironment, and prognosis. The study provides some suggestive relationships between four telomere-related genes (HOXA7, WEE1, IGF2BP3, and DUSP10) and glioma prognosis.

Predictive value of triple negative breast cancer based on DCE-MRI multi-phase full-volume ROI clinical radiomics model.

BACKGROUND: Since no studies compared the value of radiomics features of distinct phases of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for predicting triple-negative breast cancer (TNBC). PURPOSE: To identify the optimal phase of DCE-MRI for diagnosing TNBC and, in combination with clinical factors, to develop a clinical-radiomics model to well predict TNBC. MATERIAL AND METHODS: This retrospective study included 158 patients with pathology-confirmed breast cancer, including 38 cases of TNBC. The patients were randomly divided into the training and validation set (7:3). Eight radiomics models were built based on eight DCE-MR phases, and their performances were evaluated using receiver operating characteristic curve (ROC) and DeLong's test. The Radscore derived from the best radiomics model was integrated with independent clinical risk factors to construct a clinical-radiomics predictive model, and evaluate its performance using ROC analysis, calibration, and decision curve analyses. RESULTS: WHO classification, margin, and T2-weighted (T2W) imaging signals were significantly correlated with TNBC and independent risk factors for TNBC (P<0.05). The clinical model yielded areas under the curve (AUCs) of 0.867 and 0.843 in the training and validation sets, respectively. The radiomics model based on DCEphase7 achieved the highest efficacy, with an AUC of 0.818 and 0.777. The AUC of the clinical-radiomics model was 0.936 and 0.886 in the training and validation sets, respectively. The decision curve showed the clinical utility of the clinical-radiomics model. CONCLUSION: The radiomics features of DCE-MRI had the potential to predict TNBC and could improve the performance of clinical risk factors for preoperative personalized prediction of TNBC.

Effect of a prior thyroid cancer on the survival of lung cancer patients: a retrospective study based on SEER database.

PURPOSE: The effect of a history of thyroid cancer on the prognosis of lung cancer patients has not been fully investigated. Therefore, we aimed to evaluate this effect based on a large cohort. METHODS: Data of 154844 lung cancer patients, of whom 406 had prior thyroid cancer, were collected from SEER database. Primary survival analysis was conducted between patients with and without prior thyroid cancer using Kaplan-Meier method. Secondary survival analysis was conducted to investigate the effects of the stage and histological subtype of the prior thyroid cancer on the survival of lung cancer patients. Propensity adjustment was used to reduce confounding effect. RESULTS: Compared to patients without prior malignancy, patients with prior thyroid cancer were predominantly female (72.4% vs. 48.7%, p < 0.001), had lower stage (proportion of localized tumor: 40.4% vs. 25.6%, p < 0.001), and larger proportion of surgery (52.2% vs. 29.4%, p < 0.001), and had better survival (5-year survival rate: 55.53% vs. 33.16%, p < 0.001). After propensity adjustment, the survival was similar between the groups (5-year survival rate: 55.53% vs. 51.78%, p = 0.24). The survival of patients with different stages (localized tumor vs. regional tumor: p = 0.88) or different histological subtypes (p = 0.46) of prior thyroid cancer were comparable. CONCLUSION: Survival of lung cancer patients with or without prior thyroid cancer was similar after propensity adjustment, and the stage or histological subtype of the prior thyroid cancer had no significant effect on the survival of lung cancer patients.

Prenatal Nicotine Exposure Raises Male Blood Pressure via FTO-Mediated NOX2/ROS Signaling.

BACKGROUND: Cigarette smoking/nicotine exposure in pregnancy shows an increased risk of hypertension in offspring, but the mechanisms are unclear. This study tested the hypothesis that m6A RNA hypomethylation epigenetically regulates vascular NOX (NADPH oxidase) and reactive oxygen species production, contributing to the fetal programming of a hypertensive phenotype in nicotine-exposed offspring. METHODS: Pregnant rats were exposed to episodic chronic intermittent nicotine aerosol (CINA) or saline aerosol control from gestational day 4 to day 21, and experiments were performed in 6-month-old adult offspring. RESULTS: Antenatal CINA exposure augmented Ang II (angiotensin II)-stimulated blood pressure response in male, but not female offspring. Moreover, CINA increased vascular NOX2 expression and superoxide production exclusively in male offspring. Inhibition of NOX2 with gp91ds-tat, both ex vivo and in vivo, mitigated the CINA-induced elevation in superoxide production and blood pressure response. Notably, CINA enhanced the expression of vascular m6A demethylase FTO (fat mass and obesity-associated protein), while reducing the total vascular m6A abundance and specific m6A methylation of the NOX2 gene. Additionally, ex vivo inhibition of FTO with FB23-2 attenuated CINA-induced increases in vascular NOX2 expression. In vitro experiments using human umbilical vein endothelial cells demonstrated that nicotine dose-dependently upregulated FTO and NOX2 protein abundance, which were reversed by treatment with the FTO inhibitor FB23-2 or FTO knockdown using siRNAs. CONCLUSIONS: This study uncovers a new mechanism: m6A demethylase FTO-mediated epigenetic upregulation of vascular NOX2 signaling in CINA-induced hypertensive phenotype. This insight could lead to a therapeutic target for preventing and treating developmental hypertension programming.

Discharge protocol in acute pancreatitis: an international survey and cohort analysis.

There are several overlapping clinical practice guidelines in acute pancreatitis (AP), however, none of them contains suggestions on patient discharge. The Hungarian Pancreatic Study Group (HPSG) has recently developed a laboratory data and symptom-based discharge protocol which needs to be validated. (1) A survey was conducted involving all members of the International Association of Pancreatology (IAP) to understand the characteristics of international discharge protocols. (2) We investigated the safety and effectiveness of the HPSG-discharge protocol. According to our international survey, 87.5% (49/56) of the centres had no discharge protocol. Patients discharged based on protocols have a significantly shorter median length of hospitalization (LOH) (7 (5;10) days vs. 8 (5;12) days) p < 0.001), and a lower rate of readmission due to recurrent AP episodes (p = 0.005). There was no difference in median discharge CRP level among the international cohorts (p = 0.586). HPSG-protocol resulted in the shortest LOH (6 (5;9) days) and highest median CRP (35.40 (13.78; 68.40) mg/l). Safety was confirmed by the low rate of readmittance (n = 35; 5%). Discharge protocol is necessary in AP. The discharge protocol used in this study is the first clinically proven protocol. Developing and testifying further protocols are needed to better standardize patients' care.

Synergistic effects of electroacupuncture and bone marrow mesenchymal stem cell transplantation on rat intrauterine adhesion： an observation. / 电针联合骨髓间å è´¨å¹²ç»†èƒžç§»æ¤æ²»ç–—å¤§é¼ å®«è ”ç²˜è¿žçš„ååŒæ•ˆåº”è§‚å¯Ÿ.

OBJECTIVES: To investigate the effects of electroacupuncture(EA) combined with bone marrow mesen-chymal stem cells(BMSCs) transplantation on the endometrium of rats with intrauterine adhesions(IUA), so as to explore the possible mechanisms underlying their combined therapeutic effects. METHODS: Forty adult female SD rats were randomly divided into control, model, cell, and combined groups. The IUA rat model was established using a dual injury method of mechanical scratching and lipopolysaccharide infection. After successful modeling, on days 1, 3, and 7, rats in the model group received tail vein injection of phosphate buffered solution, while rats in the cell group received tail vein injection of BMSCs suspension for BMSCs transplantation；and rats in the combined group received BMSCs transplantation combined with EA treatment (2 Hz/15 Hz, 1-2 mA), targeting the "Guanyuan"(CV4), bilateral "Zusanli"(ST36) and "Sanyinjiao"(SP6) for 20 min daily for 3 consecutive estrous cycles. After intervention, uterine tissue was collected from 5 rats in each group. Histological analysis was performed using hematoxylin and eosin staining to evaluate endometrial thickness and glandular number. Masson staining was used to assess endometrial fibrosis area. Immunohistochemistry was performed to detect the positive expressions of vascular endothelial growth factor(VEGF), proliferating cell nuclear antigen(PCNA), and estrogen receptor(ER). Western blot analysis was conducted to determine the protein expressions of homeobox A10(HoxA10) and leukemia inhibitory factor(LIF), both key regulators of endometrial receptivity. The remaining 5 rats in each group were co-housed with male rats, and the uterine function recovery was evaluated by assessing the number of embryo implantations. RESULTS: Compared with the control group, the model group showed thinning endometrium(P<0.001), decreased glandular number(P<0.001), increased endometrial fibrosis area(P<0.001), reduced positive expressions of VEGF, PCNA, ER, expressions of HoxA10 and LIF, and decreased embryo implantation number (P<0.001) on the injured side of the uterus. Compared with the model group, the combined group showed a reversal of the aforementioned indicators(P<0.001, P<0.01)；the cell group exhibited thicker endometrium(P<0.001) and reduced endometrial fibrosis area(P<0.001). Compared with the cell group, the combined group showed increased endometrial thickness(P<0.01), elevated glandular number(P<0.05), significantly decreased endometrial fibrosis area(P<0.05), enhanced positive expressions of VEGF, PCNA and ER, expressions of HoxA10 and LIF in the endometrium, and a significant increase in embryo implantation number (P<0.001, P<0.05, P<0.01) on the injured side of the uterus, indicating better results than the cell group. CONCLUSIONS: The combination of EA and BMSCs synergistically promotes the repair of damaged endometrium, improves endometrial morphology, reduces fibrosis levels, enhances vascular regeneration and matrix cell proliferation, improves endometrial receptivity, which ultimately facilitates embryo implantation.

Risk factors and a prognostic model for patients with borderline resectable locally advanced T3-4N0-1 non-small cell lung cancer: a population-based study.

Background: Non-small cell lung cancer (NSCLC) is a malignant disease with a significant morbidity rate. For patients diagnosed with borderline resectable locally advanced (T3-4 invasion and N0-1) NSCLC, the optimal treatment and prognosis are still under debate. This study aimed to develop a predictive nomogram that could assess the prognosis of these patients and optimize clinical decision-making. Methods: Between 2010 to 2015, the survival, demographic and clinical characteristics of patients with borderline resectable locally advanced T3-4N0-1 NSCLC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Cox proportional hazard regression analyses were conducted to identify potential factors, which were further utilized to develop a dynamic nomogram for personalized prediction. Internal and external validation were conducted to verify the predictive accuracy of the nomogram. Results: Totally, 5,054 eligible records were enrolled into the study cohort. The included patients were divided into a training cohort (n=3,538) and a validation cohort (n=1,516) in a 7:3 ratio. Nine independent prognostic factors (including age, gender, primary site, lymph node removal, differentiation grade, T stage, N stage, histology and adjuvant chemotherapy) were finally included into the nomogram. The developed nomogram exhibited favorable discriminative ability with the C-index =0.71. Moreover, the calibration curves demonstrated excellent agreement between predicted and observed outcomes in both the training and validation cohorts. Notably, subgroup analyses revealed that neoadjuvant chemotherapy was significantly associated with a better overall survival (OS) (P<0.05) in patients staged as T3-4N1. Conclusions: In this study, we developed and validated a prognostic model to assist in clinical decision-making for patients with borderline resectable locally advanced T3-4N0-1 NSCLC. Our findings suggested that patients with T3-4N1 stage disease may derive significant benefits from neoadjuvant chemotherapy.

Research on permanent magnet synchronous motor algorithm based on linear nonlinear switching self-disturbance rejection control.

This paper presents a linear-nonlinear switching control strategy, called Switching Active Disturbance Rejection Control (SADRC), to enhance the disturbance rejection capability of the speed controller in a servo system. SADRC combines the advantages of Linear Active Disturbance Rejection Control (LADRC) and Nonlinear Active Disturbance Rejection Control (NLADRC), and introduces a parameter to switch between nonlinear and linear control, thereby improving the robustness of the servo system. Firstly, the mathematical model of the motor is analyzed as the starting point of the paper. Then, the basic principles of Active Disturbance Rejection Control (ADRC) are analyzed, and improvements are made to address its limitations, resulting in the design of SADRC. The parameters introduced in SADRC are analyzed to determine their appropriate ranges. Finally, the performance of SADRC is validated by comparing the rotational effects of Permanent Magnet Synchronous Motor (PMSM).

Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study.

RATIONALE AND OBJECTIVES: To construct and validate a deep learning radiomics (DLR) model based on X-ray images for predicting and distinguishing acute and chronic osteoporotic vertebral fractures (OVFs). METHODS: A total of 942 cases (1076 vertebral bodies) with both vertebral X-ray examination and MRI scans were included in this study from three hospitals. They were divided into a training cohort (n = 712), an internal validation cohort (n = 178), an external validation cohort (n = 111), and a prospective validation cohort (n = 75). The ResNet-50 model architecture was used for deep transfer learning (DTL), with pre-training performed on RadImageNet and ImageNet datasets. DTL features and radiomics features were extracted from lateral X-ray images of OVFs patients and fused together. A logistic regression model with the least absolute shrinkage and selection operator was established, with MRI showing bone marrow edema as the gold standard for acute OVFs. The performance of the model was evaluated using receiver operating characteristic curves. Eight machine learning classification models were evaluated for their ability to distinguish between acute and chronic OVFs. The Nomogram was constructed by combining clinical baseline data to achieve visualized classification assessment. The predictive performance of the best RadImageNet model and ImageNet model was compared using the Delong test. The clinical value of the Nomogram was evaluated using decision curve analysis (DCA). RESULTS: Pre-training resulted in 34 and 39 fused features after feature selection and fusion. The most effective machine learning algorithm in both DLR models was Light Gradient Boosting Machine. Using the Delong test, the area under the curve (AUC) for distinguishing between acute and chronic OVFs in the training cohort was 0.979 and 0.972 for the RadImageNet and ImageNet models, respectively, with no statistically significant difference between them (P = 0.235). In the internal validation cohort, external validation cohort, and prospective validation cohort, the AUCs for the two models were 0.967 vs 0.629, 0.886 vs 0.817, and 0.933 vs 0.661, respectively, with statistically significant differences in all comparisons (P < 0.05). The deep learning radiomics nomogram (DLRN) was constructed by combining the predictive model of RadImageNet with clinical baseline features, resulting in AUCs of 0.981, 0.974, 0.895, and 0.902 in the training cohort, internal validation cohort, external validation cohort, and prospective validation cohort, respectively. Using the Delong test, the AUCs for the fused feature model and the DLRN in the training cohort were 0.979 and 0.981, respectively, with no statistically significant difference between them (P = 0.169). In the internal validation cohort, external validation cohort, and prospective validation cohort, the AUCs for the two models were 0.967 vs 0.974, 0.886 vs 0.895, and 0.933 vs 0.902, respectively, with statistically significant differences in all comparisons (P < 0.05). The Nomogram showed a slight improvement in predictive performance in the internal and external validation cohort, but a slight decrease in the prospective validation cohort (0.933 vs 0.902). DCA showed that the Nomogram provided more benefits to patients compared to the DLR models. CONCLUSION: Compared to the ImageNet model, the RadImageNet model has higher diagnostic value in distinguishing between acute and chronic OVFs. Furthermore, the diagnostic performance of the model is further improved when combined with clinical baseline features to construct the Nomogram.

Prediction of EGFR mutation status in lung adenocarcinoma based on 18F-FDG PET/CT radiomic features.

The earlier identification of EGFR mutation status in lung adenocarcinoma patients is crucial for treatment decision-making. Radiomics, which involves high-throughput extraction of imaging features from medical images for quantitative analysis, can quantify tumor heterogeneity and assess tumor biology non-invasively. This field has gained attention from researchers in recent years. The aim of this study is to establish a model based on 18F-FDG PET/CT radiomic features to predict the epidermal growth factor receptor (EGFR) mutation status of lung adenocarcinoma and evaluate its performance. 155 patients with lung adenocarcinoma who underwent 18F-FDG PET/CT scans and EGFR gene detection before treatment were retrospectively analyzed. The LIFEx packages was used to perform 3D volume of interest (VOI) segmentation manually on DICOM images and extract 128 radiomic features. The Wilcoxon rank sum test and least absolute shrinkage and selection operator (LASSO) regression algorithm were applied to filter the radiomic features and establish models. The performance of the models was evaluated by the receiver operating characteristic (ROC) curve and the area under the curve (AUC). Among the models we have built, the radiomic model based on 18F-FDG PET/CT has the best prediction performance for EGFR gene mutation status, with an AUC of 0.90 (95% CI 0.84~0.96) in the training set and 0.79 (95% CI 0.64~0.94) in the test set. In conclusion, we have established a radiomics model based on 18F-FDG PET/CT, which has good predictive performance in identifying EGFR gene mutation status in lung adenocarcinoma patients.

Response to programmed cell death protein 1 antibody in patients with Epstein-Barr virus-associated intrahepatic cholangiocarcinoma.

AIM: Epstein-Barr virus-associated intrahepatic cholangiocarcinoma (EBVaICC) has a distinct genomic profile and increased CD3+ and CD8+ T cells infiltration. However, the efficacy of immunotherapy in EBVaICC remains largely unknown. This study aimed to assess the efficacy of programmed cell death protein 1 (PD-1) antibody therapy in EBVaICC. METHODS: Patients with metastatic biliary tract cancer (BTC) diagnosed at Sun Yat-sen University Cancer Center from January 2016 to December 2021 were identified. In situ hybridisation was performed to detect EBV. Overall survival (OS) and progression-free survival (PFS) were measured. RESULTS: A total of 698 patients with metastatic BTC were identified, of whom 39 (5.6%) had EBVaICC. Among the 136 patients who were not administered PD-1 antibody, the OS was similar between patients with EBVaICC and EBV-negative ICC (median OS 12.5 versus 9.5 months, respectively; P = 0.692). For the 205 patients who were administered PD-1 antibody, patients with EBVaICC had significantly longer OS than patients with EBV-negative ICC (median OS 24.9 versus 11.9 months, respectively; P = 0.004). Seventeen patients with EBVaICC were administered PD-1 antibody. Eight patients (47%) achieved a partial response, and 17 patients achieved disease control. The median PFS was 17.5 months. CONCLUSIONS: This study identified a clinically actionable subset of patients with EBVaICC with a promising response to the PD-1 antibody.