Objective To prospectively determine the feasibility of high-resolution in vivo MR imaging in the evaluation of esophageal carcinoma invasion at 3.0 T.Methods One hundred and eighteen patients with esophageal carcinoma,proven by the gastroscopic biopsy,were prospectively studied using 3.0 T MR.The esophageal specimens were sectioned transversely to keep consistent in the orientation with the MR images,the histopathological stage was made and the thickness of the tumor on the largest diameter of the slice were measured.The MR images were reviewed in the transverse plane.According to the seventh American joint committee on cancer,the MR stage was made and the tumor's thickness was measured.The MR images and the histopathological slices were matched.The staging diagnostic efficacy of the MR imaging was evaluated with the histopathological results as the standard reference,Kappa test was used to compare the stage of MR imaging with that at the histopathological analysis.Bland-Altman scatterplots were used to compare the thickness of tumor measured on the MR images with that at the histopathological measurement.Results Ninety seven cases(82.2％,97/118) of MR stage were accurately made,including 7 T1a,15 T1b,18 T2,25 T3 and 32 T4a cases,furthermore,14 cases were over staged and 7 cased were underestimated.The MR stage was highly consistent with the histopathological stage (Kappa=0.772).The sensitivity for the staging of high-resolution MR imaging at 3.0 T was 58.3％(7/12) to 100.0％(32/32),the specificity was 95.3％ (82/86) to 98.1％ (104/106),and the accuracy was 91.5％ (108/118) to 96.6％ (114/118),respectively.Bland-Altman scatterplots demonstrated that the discrepancy of the mean thickness between the value obtained by three radiologists respectively and the histopathological analysis were 2.0,2.6 and 2.1 mm,which demonstrated a good consistency.Conclusion High-resolution MR images obtained at 3.0 T can be used to evaluate the depth of carcinoma invasion and provide excellent diagnostic accuracy for preoperative staging.

Xanthoma of bladder is a benign lesion, which is more common in skin, gastrointestinal tract and Achilles tendon, but rarely occurs in bladder.A patient with bladder xanthoma was admitted to hospital due to intermittent frequent urination and hematuria for 2 years.When the symptoms were severe, the symptoms disappear after oral administration of antibiotics.Repeated urine routine occult blood positive.Cystoscopy and biopsy in the outpatient department showed multiple spherical yellow tumors in the left lateral wall of the cystoscope near the left ureteral opening.The pathological diagnosis was xanthoma of the bladder.Transurethral resection of bladder tumor with left ureteral stent was performed under subarachnoid anesthesia.One year after the operation, the patient had no symptoms such as frequent urination, hematuria and dysuria.

Objective:To analyze the prognostic factors for survival in elderly patients with glioma.Methods:We performed a retrospective analysis of prognostic factors for elderly patients with glioma,who were treated by the same attending doctor during June 2014 and June 2016,to investigate the correlations of the age,dimension of pathology,histological grade,extent of resection,adjuvant therapy,preoperative Karnofsky Performance Scale (KPS) score,postoperative KPS score,molecular markers [isocitrate dehydrogenase-1 (IDHH-1),O6-methylguanine DNA-transferase (MGMT),epidermal growth factor receptor (EGFR),Ki-67] with the prognosis.Results:A total of 45 patients were included in the study.The median overall survival (OS) was 11 months.The median progression-free survival (PFS) was 6 months.Univariate analysis revealed that the age,gender,dimension ofpathology,histological grade and preoperative KPS score had no significant correlation with survival (P＞0.05).The gross total resection,higher postoperative KPS score,adjuvant therapy,lower Ki-67 index were significantly correlated with survival.The expressions of MGMT and EGFR were significant factors for survival.High postoperative KPS score (P=0.019),adjuvant therapy (P=0.024),and the expression of MGMT (P=0.026) were independent predictors for increased median OS in a multivariate regression model.Conclusion:The extent of resection,adjuvant therapy,postoperative KPS score and molecular markers are the influential factors for survival.Larger prospective studies are needed to confirm these findings.

In order to solve the pathological grading of hepatocellular carcinomas (HCC) which depends on biopsy or surgical pathology invasively, a quantitative analysis method based on radiomics signature was proposed for pathological grading of HCC in non-contrast magnetic resonance imaging (MRI) images. The MRI images were integrated to predict clinical outcomes using 328 radiomics features, quantifying tumour image intensity, shape and text, which are extracted from lesion by manual segmentation. Least absolute shrinkage and selection operator (LASSO) were used to select the most-predictive radiomics features for the pathological grading. A radiomics signature, a clinical model, and a combined model were built. The association between the radiomics signature and HCC grading was explored. This quantitative analysis method was validated in 170 consecutive patients (training dataset: = 125; validation dataset, = 45), and cross-validation with receiver operating characteristic (ROC) analysis was performed and the area under the ROC curve (AUC) was employed as the prediction metric. Through the proposed method, AUC was 0.909 in training dataset and 0.800 in validation dataset, respectively. Overall, the prediction performances by radiomics features showed statistically significant correlations with pathological grading. The results showed that radiomics signature was developed to be a significant predictor for HCC pathological grading, which may serve as a noninvasive complementary tool for clinical doctors in determining the prognosis and therapeutic strategy for HCC.
Carcinoma, Hepatocellular ; diagnostic imaging ; Humans ; Liver Neoplasms ; diagnostic imaging ; Magnetic Resonance Imaging ; Neoplasm Grading ; methods ; ROC Curve