ABSTRACT
BACKGROUND:Hydroxyapatite is the main inorganic component of bone tissue.The polymer has the structure and function of a biomimetic extracellular matrix.The composites of hydroxyapatite and polymer have been widely studied. OBJECTIVE:To summarize the research status of hydroxyapatite composite polymer materials for bone tissue repair. METHODS:The articles collected in PubMed,Web of Science,CNKI and WanFang databases were searched from January 2010 to April 2023.The Chinese and English search terms were"hydroxyapatite,polymer,composites,degradability,bone defect,bone repair".Finally,75 articles were included for review. RESULTS AND CONCLUSION:Polymers often used in composite with hydroxyapatite for bone tissue repair include natural polymers(collagen,chitosan,alginate,serine protein,cellulose,hyaluronic acid,and polyhydroxybutyrate)and synthetic polymers[polylactic acid,polylactic acid-hydroxyacetic acid copolymer,poly(has-lactide),poly(amino acid)and poly(vinyl alcohol)].The mechanical properties and osteoinductivity of hydroxyapatite/polymer composites were improved compared with pure hydroxyapatite.Hydroxyapatite composite with polymers can be made into porous scaffolds,hydrogels,and coatings for bone repair.Hydroxyapatite/polymer composites can accelerate bone reconstruction with a slow release of loaded drugs and cytokines due to their bionic extracellular matrix structure and function.Based on the diversity of causes of bone defects and the fact that bone repair is a complex continuous process involving multiple biological factors and proteins,repair materials with mechanical properties matching bone tissue,degradation processes synchronized with bone repair,and efficient osteogenesis and vascularization need to be further investigated.
ABSTRACT
BACKGROUND:The alteration of miR-146a-3p level is a common event in the pathogenesis of most neurological diseases,and the specific mechanism of miR-146a-3p regulation of astrocytes has not been studied. OBJECTIVE:To verify that miR-146a-3p regulates astrocyte proliferation,migration and apoptosis through insulin-like growth factor 1. METHODS:12 SD rats were divided into a sham operation group and a spinal cord injury group,with six rats in each group.RNA sequencing analysis was performed on the spinal cord tissues of all groups 2 weeks after surgery to screen out the differential genes(log2FC>2),and to select spinal cord injury-related genes(Score>20)in the Genecards database,and then to predict the target genes of miR-146a-3p by Targetscan.The intersection of three gene sets was obtained to screen out insulin-like growth factor 1 as one of the important target genes.qPCR,western blot assay and immunohistochemistry were performed to analyze the expression level of insulin-like growth factor 1 in spinal cord tissues.The primary astrocytes were divided into NC group,NC-mimics group and miR-146a-3p mimics group.Annexin-V/PI staining was used to detect cell apoptosis.CCK-8 assay was used to detect cell proliferation.Transwell assay was used to detect cell migration ability. RESULTS AND CONCLUSION:The expression of miR-146a-3p in the spinal cord tissue of the spinal cord injury group was lower than that of the sham operation group(P<0.05).The expression of insulin-like growth factor 1 in the spinal cord tissue of the spinal cord injury group was higher than that of the sham operation group(P<0.05).Compared with the NC group and NC-mimics group,the apoptotic rate of astrocytes was increased(P<0.01);the proliferation of astrocytes was decreased(P<0.01)and the number of migration was decreased(P<0.01)in the miR-146a-3p mimics group.To conclude,the expression of miR-146a-3p decreased and the expression of insulin-like growth factor 1 increased in spinal cord tissue after spinal cord injury.miR-146a-3p targeted regulation of insulin-like growth factor 1 in astrocytes,inhibited the proliferation and migration of astrocytes and promoted their apoptosis.
ABSTRACT
BACKGROUND:Establishing a nomogram prediction model for postoperative pulmonary infection in hip fractures and taking early intervention measures is crucial for improving patients'quality of life and reducing medical costs. OBJECTIVE:To construct a nomogram risk prediction model of postoperative pulmonary infection in elderly patients with hip fracture,and provide theoretical basis for feasible prevention and early intervention. METHODS:Case data of 305 elderly patients with hip fractures who underwent surgical treatment at Wuxi Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine between January and October 2020(training set)were retrospectively analyzed.Using univariate and multivariate logistic regression analysis and Hosmer-Lemeshow goodness of fit test,receiver operating characteristic curve was utilized to analyze the diagnostic predictive efficacy of independent risk factors and joint models for postoperative pulmonary infections.Tools glmnet,pROC,and rms in R Studio software were applied to construct a nomogram model for predicting the risk of postoperative pulmonary infection in elderly patients with hip fractures,and calibration curves were further drawn to verify the predictive ability of the nomogram model.Receiver operating characteristic curves,calibration curves,and decision curves were analyzed for 133 elderly patients with hip fractures(validation set)receiving surgery at the same hospital from November 2022 to March 2023 to further predict the predictive ability of the nomogram model. RESULTS AND CONCLUSION:(1)The postoperative pulmonary infection rate in elderly patients with hip fractures in this group was 9.18%(28/305).(2)Single factor and multivariate analysis,as well as forest plots,showed that preoperative hospitalization days,leukocyte count,hypersensitive C-reactive protein,and serum sodium levels were independent risk factors(P<0.05).The Hosmer-Lemeshow goodness of fit test showed good fit(χ2=4.57,P=0.803).Receiver operating characteristic curve analysis was conducted on the independent risk factors and their joint models mentioned above,and the differentiation of each independent risk factor and joint model was good,with statistical significance(P<0.05).(3)The graphical calibration method,C-index,and decision curve were used to validate the nomogram prediction model.The predicted calibration curve was located between the standard curve and the acceptable line,and the predicted risk of the nomogram model was consistent with the actual risk.(4)The validation set used receiver operating characteristic curve,graphic calibration method,and decision curve to validate the prediction model.The results showed good consistency with clinical practice,indicating that the model had a good fit.The nomogram risk prediction model constructed for postoperative pulmonary infection in elderly patients with hip fractures has good predictive performance.The use of the nomogram risk prediction model can screen high-risk populations and provide a theoretical basis for early intervention.
ABSTRACT
Objective@#Progressive supranuclear palsy (PSP) involves a variety of visual symptoms that are thought to be partially caused by structural abnormalities of the retina. However, the relationship between retinal structural changes, disease severity, and intracranial alterations remains unknown. We investigated distinct retinal thinning patterns and their relationship with clinical severity and intracranial alterations in a PSP cohort. @*Methods@#We enrolled 19 patients with PSP (38 eyes) and 20 age-matched healthy controls (40 eyes). All of the participants underwent peripapillary and macular optical coherence tomography. Brain 11C-2β-carbomethoxy-3β-(4-fluorophenyl) tropane (11C-CFT) and 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography imaging were also performed in patients with PSP. We investigated the association between retinal thickness changes and clinical features, striatal dopamine transporter availability, and cerebral glucose metabolism. @*Results@#The peripapillary retinal nerve fiber layer (pRNFL) and macula were significantly thinner in patients with PSP than in controls. The thickness of the superior sector of the pRNFL demonstrated a significant negative relationship with the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale part III and Hoehn and Yahr staging scale scores. A significant negative correlation was found between outer inferior macular thickness and disease duration. Outer temporal macular thickness was positively correlated with Montreal Cognitive Assessment scores. In PSP, lower outer temporal macular thickness was also positively correlated with decreased dopamine transporter binding in the caudate. @*Conclusion@#The pRNFL and macular thinning may be candidate markers for monitoring disease severity. Additionally, macular thinning may be an in vivo indicator of nigrostriatal dopaminergic cell degeneration in PSP patients.
ABSTRACT
Objective:To explore the efficacy of quantitative parameters of dual-layer spectral CT in preoperative prediction of Ki-67 expression in esophageal squamous cell carcinoma (ESCC).Methods:From December 2021 to December 2022, 64 patients with histopathologically diagnosed ESCC were retrospectively analyzed at Liaoning Cancer Hospital & Institute. The expression level of Ki-67 in ESCC tumor tissue was detected by the immunohistochemical method. The patients were divided into the Ki-67 high expression group (the Ki-67 expression index≥30%, 47 cases) and the Ki-67 low expression group (the Ki-67 expression index<30%, 17 cases). The quantitative parameters of spectral CT were measured, including traditional 120 kVp CT value, 40 keV CT value, iodine density (ID), normalized iodine density (NID), and Z-effective in arterial and venous phases. Independent sample t test was used to compare the differences in the parameters between the Ki-67 high and low expression groups. The receiver operating characteristic (ROC) curve was drawn to evaluate the efficacy of each parameter in predicting Ki-67 expression. DeLong test was used to compare the area under the curve (AUC). Results:The 120 kVp CT value, 40 keV CT value, ID, and Z-effective in the arterial phase and the 120 kVp CT value, 40 keV CT value, ID, NID, Z-effective in venous phase in the Ki-67 high expression group were all higher than those in the Ki-67 low expression group ( P<0.05). There was no statistically significant difference in arterial phase NID between the two groups ( t=1.85, P=0.070). NID in the venous phase had the highest AUC in predicting high expression of Ki-67 in ESCC (AUC=0.965, 95%CI 0.923-1.000). With a venous phase NID value of 0.28 as the diagnostic threshold, the sensitivity and specificity were 93.6% and 100%. There was no significant difference in AUC between venous phase NID and venous phase ID (AUC=0.926) and Z-effective (AUC=0.909) ( Z=-1.52, 1.81, P=0.128, 0.071), but there was a significant difference of AUC between venous phase NID and 120 kVp CT value (AUC=0.719) and 40 keV CT value (AUC=0.747) ( Z=3.41, 3.30, P=0.001, 0.001). There were statistical differences of AUC between venous phase NID and each parameter of arterial phase ( P<0.05). Conclusion:The three spectral CT parameters (ID, NID, and Z-effective) in the venous phase have high diagnostic efficacy in predicting ESCC Ki-67 expression.
ABSTRACT
Abstract Introduction The treatment of papillary thyroid microcarcinoma remains controversial. Central lymph node metastasis is common in papillary thyroid microcarcinoma and it is an important consideration in treatment strategy selection. Objective The aim of this study was to investigate clinicopathologic risk factors and thyroid nodule sonographic characteristics for central lymph node metastasis in papillary thyroid microcarcinoma. Methods We retrospectively reviewed the data of 599 papillary thyroid microcarcinoma patients who underwent surgery from 2005 to 2017 at a single institution. Univariate and multivariate analyses were used to identify the clinicopathologic factors and preoperative sonographic features of central lymph node metastasis. A receiver-operating characteristic, ROC curve analysis, was performed to identify the efficacy of ultrasonographic features in predicting central lymph node metastasis. A nomogram based on the risk factors was established to predict central lymph node metastasis. Results The incidence of central lymph node metastasis was 22.4%. The univariate and multivariate analyses suggested that gender, age, multifocality, extrathyroidal invasion, and lateral lymph node metastasis were independent risk factors for central lymph node metastasis. The univariate and multivariate analyses revealed that nodular shape, margin, and calcification were independently associated with central lymph node metastasis. The ROC curve analysis revealed that the combination of shape, margin and calcification had excellent accuracy in predicting central lymph node metastasis. The nomogram was developed based on the identified risk factors for predicting central lymph node metastasis, and the calibration plot analysis indicated the good performance and clinical utility of the nomogram. Conclusions Central lymph node metastasis is associated with male gender, younger age (<5 years), extrathyroidal invasion, multifocality and lateral lymph node metastasis in papillary thyroid microcarcinoma patients. The ultrasongraphic features, such as irregular shape, ill-defined margin and calcification, may improve the efficacy of predicting central lymph node metastasis. Surgeons and radiologists should pay close attention to the patients who have these risk factors. The nomogram may help guide surgical decision making in papillary thyroid microcarcinoma.
Resumo Introdução O tratamento do microcarcinoma papilífero de tireoide permanece controverso. A metástase em linfonodos centrais é comum e é uma consideração importante na seleção da estratégia de tratamento. Objetivo Investigar os fatores de risco clínico-patológicos e as características ultrassonográficas de nódulos tireoidianos para metástase em linfonodos centrais em microcarcinoma papilífero de tireoide. Método Foram analisados retrospectivamente os dados de 599 pacientes com microcarcinoma papilífero de tireoide submetidos à cirurgia de 2005 a 2017 em uma única instituição. Análises univariadas e multivariadas foram usadas para identificar os fatores clínico-patológicos e as características ultrassonográficas pré-operatórias das metástases em linfonodos centrais. Uma análise de curva ROC (receiver-operating characteristic) foi feita para identificar a eficácia das características ultrassonográficas na previsão dessas metástases. Um nomograma baseado nos fatores de risco foi estabelecido para prever a metástase em linfonodos centrais. Resultados A incidência de metástase em linfonodos centrais foi de 22,4%. As análises univariadas e multivariadas sugeriram que sexo, idade, multifocalidade, invasão extratireoidiana e metástase em linfonodos laterais eram fatores de risco independentes para a metástase em linfonodos centrais. As análises univariadas e multivariadas revelaram que o formato nodular, a margem e a calcificação estavam independentemente associadas à metástase em linfonodos centrais. A análise da curva ROC mostrou que a combinação do formato, margem e calcificação apresentou excelente precisão na previsão dessas metástases. O nomograma foi desenvolvido com base nos fatores de risco identificados para predizer a metástase em linfonodos centrais e a análise do gráfico de calibração indicou o bom desempenho e a utilidade clínica do nomograma. Conclusões Em pacientes com microcarcinoma papilífero de tireoide, metástase em linfonodos centrais está associado ao sexo masculino, menor idade ( < 45 anos), invasão extratireoidiana, multifocalidade e presença de metástase em linfonodos laterais. As características ultrassonográficas, como formato irregular, margem mal definida e calcificação, podem melhorar a eficácia da previsão de metástase em linfonodos centrais. Cirurgiões e radiologistas devem ficar mais atentos aos pacientes que apresentam esses fatores de risco. O nomograma pode ajudar a orientar a tomada de decisão cirúrgica para o microcarcinoma papilífero de tireoide.
ABSTRACT
Objective:To investigate the value of MRI radiomics features in predicting breast cancer lymphovascular invasion (LVI).Methods:Totally of 216 patients with breast invasive ductal carcinoma who underwent preoperative MR examination confirmed by postoperative pathology from January to July 2021 in Liaoning Cancer Hospital were analyzed retrospectively. The patients were all females and ranged in age from 27 to 80 (53±11). Among them, 68 patients had LVI and 148 patients had no LVI. Patients were divided into the training set and the validation set in a ratio of 7∶3. The clinical features model was constructed with independent risk factors for LVI. The factors were extracted based on the clinical and MRI performance. Regions of interest in the tumor and peritumoral 1, 2, 3 mm annular region were delineated in the second phase of dynamic contrast-enhanced (DCE) MRI and DWI, respectively, and radiomics features extraction and screening were performed to construct a radiomics feature model. Receiver operating characteristic (ROC) curves were drawn to evaluate the diagnostic efficacy of models.Results:Apparent diffusion coefficient value (ADC) (OR=0.09, 95%CI 0.01-0.97, P=0.047), the axillary lymph node enlargement (OR=2.51, 95%CI 1.18-5.37, P=0.017), the peritumoral edema (OR=2.34, 95%CI 1.15-4.75, P=0.019) were independent risk factors for LVI. The clinical feature model was established with ADC value, the axillary lymph node enlargement and the peritumoral edema. At last, 10 radiomics features were selected to construct the DCE-MRI tumor model, 8 radiomics features were selected to construct the DCE-MRI peritumoral 1 mm model, 9 radiomics features were selected to construct the DCE-MRI peritumoral 2 mm model, 5 radiomics features were selected to construct the DCE-MRI peritumoral 3 mm model, 8 radiomics features were selected to construct the DWI tumor model, 5 radiomics features were selected to construct the DWI peritumoral 1 mm model, 10 radiomics features were selected to construct the DWI peritumoral 2 mm model, 9 radiomics features were selected to construct the DWI peritumoral 3 mm model. The ROC curve analysis showed that DWI peritumoral 1 mm model had the largest area under curve values for predicting breast cancer LVI status both in the training set (0.928) and the validation set (0.907), and there were significant differences compared with other models ( P<0.05). Conclusion:MRI radiomics features can effectively predict LVI of breast invasive ductal carcinoma, and DWI peritumoral 1 mm radiomics features model have the highest prediction efficiency for LVI.