Objective To evaluate the prevalence of NI in the SICU at our hospital. Methods 181 NI patients in the SICU were retrospectively analysed during Jan 1996～Dec 2000.Results The average NI rate was 9.81%. The major sites of NI were respiratory tract(36.96 %),thoracic/abdominal cavity(25.47 %)and bloodstream infections(9.32 %).The difference in major pathogens of infections in different sites reached statistical significance. For respiratory tract, thoracic/abdominal cavity and bloodstream infections,bacteria were the most common pathogens. Fungi were the moat frequent isolate from urine and stool. Mixed infection proportion was 52.25 %. The most common pathogens were Enterococci, Methicillin resistant Staphylococci、 Pseudomonas Aecruginosa、Escherichia Coli、Candida Albicans and Candida Tropicalis. Conclusions The most common pathogens of NI in SICU are different in different infection sites. The pathogens were complicated and most strains are antibiotics resistant. So it is important to establish NI control and to understand the changes of pathogens so as to prevent the infection.

OBJECTIVETo assess the value of computed tomography( CT) in the staging and predicting respectability of primary advanced ovarian carcinoma.

METHODSThe data of preoperative abdomen and pelvis CT scan in 64 women with Stage II or IV ovarian carcinoma were collected from tumor registry database. All CT scans were analyzed retrospectively without knowledge of the operative findings, and the stage as based on CT was compared with the surgical and pathological findings. Residual lesion of < or = 2 cm in maximal diameter was considered as an optimal surgical result. Twenty-senven of these 64 patients (42.2%) underwent optimal cytoreduction surgery for residual disease C2 cm in diameter. Based on the ability of each parameter in predicting cytoreductive surgery outcome, 11 radiographic features were selected for the final model. Each predictive parameter was assigned a numeric value (1 to 7). Sensitivity, specificity, positive predictive value( PPV) , negative predictive value( NPV),and accuracy were calculated for each predictive parameter. Receiver operating characteristic( ROC) curve was used to assess the ability of the model to predict surgical outcome. The correlation between CT stage and surgical-pathologic stage was analyzed by Chi-square test and Spearman's rho analysis.

RESULTSThe overall accuracy of CT staging for advanced ovarian carcinoma was 87. 5% ; 86. 5% and 91.7% for stage III and IV patients respectively. The correlation between CT stage and surgicopathologic stage was found to be comformable. In the final predictive index model, when a predictive index scoreed > or = 2, the overall accuracy, sensitivity and specificity was 70. 3% , 67.6% and 74. 1% for identifying patients for suboptimal surgery. The PPV and the NPV was 78. 1% and 62. 5% , respectively. The ROC curve was generated with an area under the curve = 0. 792+/-0. 055 using the predictive index scores.

CONCLUSIONCT has a high accuracy in staging and a moderate ability to predict resectability for advanced ovarian carcinoma. Therefore, the predictive index model may be useful in the management of ovarian carcinoma patients.

Adenocarcinoma ; diagnostic imaging ; pathology ; surgery ; Adolescent ; Adult ; Aged ; Cystadenocarcinoma ; diagnostic imaging ; pathology ; surgery ; Female ; Humans ; Middle Aged ; Neoplasm Staging ; methods ; Ovarian Neoplasms ; diagnostic imaging ; pathology ; surgery ; ROC Curve ; Reproducibility of Results ; Retrospective Studies ; Tomography, X-Ray Computed ; methods ; Treatment Outcome

OBJECTIVEThe purpose of this study is to investigate whether low-dose spiral chest CT scan can replace standard-dose CT scan in detecting pulmonary metastases for patients with gestational trophoblastic tumor (GTT).

METHODSTotally, 34 GTT patients underwent 56 chest CT scans for the assessment of pulmonary metastasis. All patients received CT examination both at standard-dose (120 KV, 150 mAs, pitch 1, and a standard reconstruction algorithm) and low-dose CT (120 KV, 40 mAs, pitch 2, and a bone reconstruction algorithm) simultaneously each time. The images were interpreted by two radiologists independently. A metastasis by CT image was defined as a nodule within lung parenchyma that could not be attributed to a pulmonary vessel. The number of lesions detected at each dose protocol was recorded. The size of each lesion was measured and categorized as < 5 mm, 5 - 10 mm or > or = 10 mm. The differences in detection of the lesions between the standard- and low-dose CT protocols were compared using Wilconxon signed rank test.

RESULTS1417 lesions were detected at the standard-dose, whereas 1214 lesions were found by low-dose CT. Lesions < 5 mm detected by low-dose CT were fewer than that detected by standard-dose CT (Z = -3.368, P = 0.000), though there was no statistically significant difference between the standard- and low-dose CT in detecting lesion > or = 5 mm (Z = -0.055, P = 0.957). Moreover, the risk score of the patients was not affected either. The sensitivity of low-dose CT was 69.16% for all size of lesions, 58.50% for < 5 mm, 87.07% for 5 - 10 mm, and 97.01% for > or = 10 mm. The positive predictive value for different sizes of lesion was 80.71% (all sizes), 73.82% (5 mm), 88.86% (5 - 10 mm), and 98.48% (> or = 10 mm), respectively.

CONCLUSIONLow-dose chest CT can replace the standard-dose chest CT as a screening and follow-up examination to assess the change in pulmonary metastasis for patients with gestational trophoblastic tumor.

Adult ; Female ; Gestational Trophoblastic Disease ; diagnostic imaging ; secondary ; Humans ; Lung Neoplasms ; diagnostic imaging ; secondary ; Middle Aged ; Pregnancy ; Radiation Dosage ; Tomography, Spiral Computed ; methods ; Uterine Neoplasms ; pathology