Objective To investigate radiological diagnosis of ossifying fibroma of long bone.Methods The imaging features in 16 patients with ossifying fibroma of long bone confirmed by pathology and surgery were analysed.All 16 patients underwent radiographic examinations,of them,CT was performed in 8 patients,MR was performed in 3 patients.Results In 16 cases,ossifying fibroma was accurately diagnosed by X-ray in 11/16 cases,by CT in 7/8 cases.MR imaging was commonly superior to CT in showing the relationship between the lesions and isthmus.Conclusion CT scan can improve the diagnosis of ossifying fibroma of long bone,and is better in demonstrating the extension of fesions than X-ray plain film,which is important for guiding clinical treatment,and MRI can be used as an important supplemental method.

BACKGROUNDTo investigate the expression of the SOCS3 gene and its effect on proliferation of A549 cells.

METHODSA549 cells were cotransfected with pEFSOCS3 and pSV2neo by liposome, then G418 was used to screen the positive cells. Expression of SOCS3 mRNA and protein was detected by RT-PCR and immunocytochemistry respectively before and after transfection. MTT assay was used to detect the cell growth. Flow cytometric DNA analysis was used to determine the cell cycle.

RESULTSRT-PCR and immunocytochemistry showed that no expression of SOCS3 mRNA and protein was detected in A549 cells before transfection, but a stable expression of SOCS3 gene was observed after transfection with SOCS3 gene. Compared with control group, growth of A549 cells transfected with SOCS3 gene was significantly suppressed, with a suppressive rate of 41.07%. The cells at G₀/G₁ cell phases increased, and those at S and G₂/M phases decreased significantly after transfection.

CONCLUSIONSSOCS3 protein might inhibit the proliferation of A549 cells by negatively regulating cellular signal pathways.

Purpose To explore the CT features of solid components between benign and malignant mixed ground-glass nodules(mGGO),and between minimally invasive adenocarcinoma(MIA)and invasive adenocarcinoma(IAC),and to improve the accuracy of preoperative diagnosis of mGGO.Materials and Methods The clinical and imaging data of 313 patients with mGGO admitted to the First Affiliated Hospital of Chongqing Medical University from January 2016 to July 2022 were retrospectively analyzed,and all patients were divided into benign group(95 cases)and malignant group(218 cases)according to follow-up or pathological results.All patients in malignant group were further divided into MIA(118 cases)and IAC(100 cases)groups.Logistic regression analysis models were established using the statistically significant CT features above,and the area under the curve(AUC)was calculated to evaluate the effectiveness of the model.Results ① Comparison of clinical characteristics between benign and malignant groups:malignant mGGO were more common in older people,females and nonsmokers,without smoking history,and the differences between two groups were significantly different(Z=-3.776,χ2=13.587,19.257;all P<0.001).②Comparison of CT features between benign and malignant groups:benign group existed a higher proportion of single solid component(84.21%vs.55.50%),while malignant group existed a higher proportion of multiple solid components(44.50%vs.15.79%),and the difference between two groups was significantly different(χ2=23.728,P<0.001).As for patients with single solid component,the solid components in malignant group were more likely to be irregular,mostly with eccentric distribution,and the proportion of solid components connected with blood vessels and pleura were higher than the benign group,the differences between two groups were significant(χ2=23.785,5.025,7.264;all P<0.05).Meanwhile,the benign group also had higher CT value[-153.00(-254.00,-80.50)Hu vs.-265.00(-363.25,-122.00)Hu],while lower relative CT value(0.30±0.16 vs.0.41±0.22),the differences between two groups were significant(all P<0.001).Logistic regression analysis:irregular morphology of the solid component(OR=0.236,P<0.001)and higher CT value(OR=1.009,P<0.05)were independent predictors of malignant mGGO.Receiver operator characteristic(ROC)curve analysis showed that the AUC was 0.772,and its accuracy,sensitivity and specificity was 70.65%,74.40%and 65.00%,respectively.③Comparison of CT features between MIA and IAC groups:MIA group existed a higher proportion of single solid component(74.58%vs.33.00%),while IAC group existed a higher proportion of multiple solid components(67.00%vs.25.42%),and the difference between two groups was significantly different(χ2=37.885,P<0.001).As for patients with single solid component,the solid components in IAC group were more likely to be irregular,it also had higher area,area proportion,and CT value,while lower relative CT value than the MIA group,the differences between two groups were significant(χ2=7.563,Z=-4.388,-3.923,-3.996;all P<0.05).Logistic regression analysis:eccentric distribution of the solid component(OR=0.083,P<0.05)and large area(OR=1.063,P<0.05)were independent predictors of IAC.ROC curve analysis showed that the AUC was 0.865,and its accuracy,sensitivity and specificity was 83.47%,87.90%and 68.20%,respectively.Conclusion The solid components between benign and malignant nodules as well as between MIA and IAC show different CT features.Based on these different features,it's helpful to improve the preoperative diagnostic accuracy of mGGO and guide the clinical treatment plans.