Objective To investigate the predictive value of dual-energy CT quantitative parameters for assessing the short-term treatment efficacy of second-generation epidermal growth factor receptor-tyrosine kinase inhibitors(EGFR-TKIs)in patients with advanced lung adenocarcinoma.Methods A total of 77 patients with advanced lung adenocarcinoma who received second-generation EGFR-TKIs treatment were retrospectively included.All patients underwent non-contrast and contrast-enhanced dual-energy CT scans.The patients were divided into effective group(45 cases)and ineffective group(32 cases).The clinical data and CT morpho-logical features of the patients were collected,and the iodine concentration(ICA,ICV),normalized iodine concentration(NICA,NICV),and spectral curve slope(kA,kV)in the arterial and venous phases were obtained.The predictive model was constructed using statistically significant intergroup differences,and the predictive performance of the model was evaluated via the area under the curve(AUC)of the receiver operating characteristic(ROC)curves,calibration curves,and decision curve analysis(DCA).Results Signifi-cant differences were observed in ICA 90 keV,ICA 150 keV,kA and NICA 90 keV,NICA 150 keV between the effective group and the ineffective group(P<0.05).Univariate and multivariate logistic regression analyses identified that ICA 90 keV and ICA 150 keV as independent predictors of the short-term treatment efficacy of second-generation EGFR-TKIs.The AUC of the logistic regression model was 0.96[(95%confidence interval(CI)0.87-0.97].Conclusion The quantitative parameters of dual-energy CT can predict the short-term therapeutic efficacy of EGFR-TKIs in advanced lung adenocarcinoma to a certain extent.

Objective To investigate the predictive value of dual-energy CT quantitative parameters for assessing the short-term treatment efficacy of second-generation epidermal growth factor receptor-tyrosine kinase inhibitors(EGFR-TKIs)in patients with advanced lung adenocarcinoma.Methods A total of 77 patients with advanced lung adenocarcinoma who received second-generation EGFR-TKIs treatment were retrospectively included.All patients underwent non-contrast and contrast-enhanced dual-energy CT scans.The patients were divided into effective group(45 cases)and ineffective group(32 cases).The clinical data and CT morpho-logical features of the patients were collected,and the iodine concentration(ICA,ICV),normalized iodine concentration(NICA,NICV),and spectral curve slope(kA,kV)in the arterial and venous phases were obtained.The predictive model was constructed using statistically significant intergroup differences,and the predictive performance of the model was evaluated via the area under the curve(AUC)of the receiver operating characteristic(ROC)curves,calibration curves,and decision curve analysis(DCA).Results Signifi-cant differences were observed in ICA 90 keV,ICA 150 keV,kA and NICA 90 keV,NICA 150 keV between the effective group and the ineffective group(P<0.05).Univariate and multivariate logistic regression analyses identified that ICA 90 keV and ICA 150 keV as independent predictors of the short-term treatment efficacy of second-generation EGFR-TKIs.The AUC of the logistic regression model was 0.96[(95%confidence interval(CI)0.87-0.97].Conclusion The quantitative parameters of dual-energy CT can predict the short-term therapeutic efficacy of EGFR-TKIs in advanced lung adenocarcinoma to a certain extent.

Objective To explore the correlation value of high-resolution MRI on the cause,location and degree of nerve root com-pression and clinical symptoms of lumbar intervertebral foramen stenosis.Methods Patients with sciatic neuralgia underwent con-ventional MRI examination of the lumbar spine before treatment.MRI thin layer(1 mm)intervertebral disc axial scan was performed on patients with suspected L4/L5 and L5/S1 intervertebral foramen stenosis,and the value of conventional MRI and high-resolution MRI on intervertebral foramen stenosis location,etiology and Elisabeth typing was compared and analyzed.Intervertebral foramen mor-phometric indicators,nerve root length and short diameter were measured on high-resolution MRI post-processed images and their correlation with visual analogue scale(VAS)scores of clinical symptoms was analyzed.Results Sixty-one patients were effectively diagnosed with intervertebral foramen stenosis and nerve root compression after surgery or conservative treatment.The diagnosis rate of conventional MRI for the cause of intervertebral foramen stenosis was 75.4％,and the diagnosis rate of high-resolution MRI post-processed was 91.8％.The Elisabeth typing of lumbar intervertebral foramen stenosis was positively correlated with clinical symp-toms,while the nerve root short diameter and peri-nerve fat space area were negatively correlated with VAS score.Conclusion High-resolution MRI is significantly better than conventional MRI for the diagnosis of nerve root compression in intervertebral fora-men stenosis.It visually shows the location,cause and degree of nerve root compression,which can better guide the clinical and accu-rate minimally invasive surgery.

ABSTRACT: Meningiomas are the most common primary intracranial neoplasm with diverse pathological types and complicated clinical manifestations. The fifth edition of the WHO Classification of Tumors of the Central Nervous System (WHO CNS5), published in 2021, introduces major changes that advance the role of molecular diagnostics in meningiomas. To follow the revision of WHO CNS5, this expert consensus statement was formed jointly by the Group of Neuro-Oncology, Society of Neurosurgery, Chinese Medical Association together with neuropathologists and evidence-based experts. The consensus provides reference points to integrate key biomarkers into stratification and clinical decision making for meningioma patients. REGISTRATION Practice guideline REgistration for transPAREncy (PREPARE), IPGRP-2022CN234.
Humans ; Meningioma/pathology* ; Consensus ; Neurosurgical Procedures ; Meningeal Neoplasms/pathology*