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find Author "DONG Mei" 2 results
  • Application of targeted cryoablation for localized prostate cancer in day surgery

    ObjectiveTo explore the feasibility of targeted cryoablation for localized prostate cancer in day surgery.MethodThe clinical data of patients with localized prostate cancer who underwent cryoablation from April 2017 to May 2019 were retrospective analyzed. The patients’ satisfaction, postoperative complications, chronic pain and indwelling catheter term were recorded on the 1st (the next day after operation) and 7th day after the operation of follow-up.ResultsA total of 98 patients were included. All patients underwent the surgeries successfully. The average age of the patients was (73.43±7.86) years old. The average length of postoperative hospital stay was (1.55±0.43) days, including 34 cases (34.69%) discharged within 24 hours after the surgery. The satisfaction rate of patients was 100% on the 1st and 7th day after the operation. Twelve cases (12.24%) removed the catheter at the discharge, 83 cases (84.69%) removed the catheter on the 7th day after the operation. Because of the urinary retention, 3 cases (3.06%) removed the catheter 2 weeks after the operation. All patients were satisfied with urine control after the removal of the catheter. Ten cases (10.20%) had postoperative complications, including 3 of urinary tract infection, 3 of urinary retention, and 4 of perineal edema; the patients recovered after symptomatic treatment. On the day of surgery, 8 cases (8.16%) had slight postoperative pain in perineal (the Visual Analogue Scale scores were all 2). After oral analgesic treatment, the patients’ symptoms were alleviated.ConclusionTargeted cryoablation is a safe and effective method for the treatment of localized prostate cancer with a low incidence of postoperative complications, and it has certain feasibility in day surgery mode.

    Release date:2020-03-25 09:12 Export PDF Favorites Scan
  • Diagnosis Value of Tumor Marker: The Serum Neuron Specific Enolase of Small Cell Lung Cancer in RIA: A Systematic Review

    Objective To evaluate diagnostic value of tumor marker — the serum neuron specific enolase (NSE) in patients with suspected small cell lung cancer with lung pathological diagnosis as the gold standard. Methods A search in The Cochrane Library, PubMed, OVID, MEDLINE, EMbase, Cancerlit, China National Knowledge Infrastructure (CNKI), and CBM, was conducted from 1966 to 2008. Hand searches and additional searches were also conducted. Criteria for inclusion were established based on validity criteria for diagnostic research published by the Cochrane Methods Group on Screening and Diagnostic Tests. Subsequently, the characteristics of the included articles were appraised and extracted. Statistical analysis was performed employing Revman 4.2 software. Heterogeneity of the included articles was tested, which was used to select the proper effect model to calculate pooled weighted sensitivity and specificity. The Summary Receiver Operating Characteristic (SROC) curve was performed and the area under the curve (AUC) was calculated. Finally, sensitivity analysis was performed. Results Six articles entered this meta-analysis: four English articles, one Japanese article and one Chinese article. The quality level of the articles was C. the studies involving 2,366 patients (579 SCLC and 1,847 NSCLC patients that were diagnosed by using the gold standard) were included. The meta-analysis reported that the heterogeneity among studies was high (P=0.005, I2=70.4%), pooled sensitivity was 0.59, 95%CI 0.55 to 0.64, and pooled specificity was 0.88, 95%CI 0.87 to 0.90. The likelihood ratio was 8.17 and 0.31, respectively. The summary ROC of the meta-disc software and the area under the curve was 0.905 0. These data suggested that NSE had a relatively high false negative rate (41%) and a relatively low false positive rate (12%). Conclusion The tumor marker NSE is has diagnostic value of small cell lung cancer, but more high quality trials are required.

    Release date:2016-09-07 02:09 Export PDF Favorites Scan
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