CALCITONIN GENE-RELATED PEPTIDE INDUCES FIBRO-BLASTS FROM HIP PSEUDOCAPSULE TO PRODUCE CYTOKINES

Objective To investigate calcitonin gene-related peptide (CGRP) involvement in the process of aseptic loosening. Methods We isolated fibroblasts from periprosthetic pseudocapsular tissue at the time of revision hip arthroplasty performed due to aseptic loosening. Fibroblasts were incubated for 24 h in the presence of CGRP, and the levels of interleukin (IL)-1β, IL-6, and tumor necrosis factor (TNF)-α in the media were determined using enzyme-linked immunosorbent assay kit. Results We found that the levels of IL-1β, IL-6, and TNF-α increased in a time-and concentration-dependent manner. ConclusionThese inflammatory cytokines play an important role in the development of periprosthetic osteolysis and implant loosening. Our results suggest that CGRP may be involved in the pathogenesis of aseptic loosening.

Extra-pseudocapsular Transnasal Transsphenoidal Resection of Pituitary Macroadenoma:Technique Note and Evaluation of Endocrine Function

Objective In this study,we investigated the surgical technique and endocrine assessment of pituitary function of patients with macroadenoma treated by extra-pseudocapsular transnasal transsphenoidal surgery(ETTS).Methods Clinical data of 144 patients with pituitary macroadenomas in the same surgical group at the Department of Neurosurgery,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology were retrospectively analyzed from January 2019 to June 2021.Based on the results of the endocrinological evaluation and MRI examinations before and after surgery,the fluctuation of pituitary function and the extent of resection were analyzed.Multiple Logistic regression analysis was used to determine the predictors affecting postoperative tumor residual.Results Among the 144 patients with pituitary macroadenomas,72(50.0%)were female and 72(50.0%)were male,the median age was 50 years,26(18.1%)had invasiveness grade 0,46(31.9%)had grade I,57(39.6%)had grade II,and 15(10.4%)had grade III according to Lu’s classification method.Based on observation during surgery,37 cases(25.7%)had no pseudocapsule,54 cases(37.5%)had incomplete pseudocapsule,and 53 cases(36.8%)had intact pseudocapsule.In addition,91(63.2%)patients had total resection,39(27.1%)had subtotal resection,and 14(9.7%)had partial resection.As for anterior pituitary function,13 of 19 hypothyroid patients had recovery after surgery,with a remission rate of 68.4%.Eighteen of the 26 decreased cortisol patients got back to normal,with a remission rate of 69.2%.A total of 27 of 51 patients with hypogonadism improved,with a remission rate of 52.9%.Univariate and multivariate analyses indicated that gender,tumor size,and invasiveness were predictors of postoperative residual in patients(P<0.05).Conclusion The results showed that ETTS is an effective treatment modality for restoring the function of pituitary gland of the patients with macroadenomas.Tumor size and invasiveness are predictors of the extent of surgical resection and postoperative residual of macroadenomas.

Predictive value of a constructed artificial neural network model for microvascular invasion in hepatocellular carcinoma:A retrospective study

BACKGROUND Microvascular invasion(MVI)is a significant risk factor for recurrence and metastasis following hepatocellular carcinoma(HCC)surgery.Currently,there is a paucity of preoperative evaluation approaches for MVI.AIM To investigate the predictive value of texture features and radiological signs based on multiparametric magnetic resonance imaging in the non-invasive preoperative prediction of MVI in HCC.METHODS Clinical data from 97 HCC patients were retrospectively collected from January 2019 to July 2022 at our hospital.Patients were classified into two groups:MVI-positive(n=57)and MVI-negative(n=40),based on postoperative pathological results.The correlation between relevant radiological signs and MVI status was analyzed.MaZda4.6 software and the mutual information method were employed to identify the top 10 dominant texture features,which were combined with radiological signs to construct artificial neural network(ANN)models for MVI prediction.The predictive performance of the ANN models was evaluated using area under the curve,sensitivity,and specificity.ANN models with relatively high predictive performance were screened using the DeLong test,and the regression model of multilayer feedforward ANN with backpropagation and error backpropagation learning method was used to evaluate the models’stability.RESULTS The absence of a pseudocapsule,an incomplete pseudocapsule,and the presence of tumor blood vessels were identified as independent predictors of HCC MVI.The ANN model constructed using the dominant features of the combined group(pseudocapsule status+tumor blood vessels+arterial phase+venous phase)demonstrated the best predictive performance for MVI status and was found to be automated,highly operable,and very stable.CONCLUSION The ANN model constructed using the dominant features of the combined group can be recommended as a noninvasive method for preoperative prediction of HCC MVI status.