Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objective: To estimate the diagnostic accuracy of magnetic resonance in ovarian tumors.
Study Design: A quantitative systematic review was performed. Studies that compared magnetic resonance and paraffin sections within subjects for diagnosis of ovarian tumors were included.
Results: Fifteen primary studies were analyzed, which included 1267 ovarian masses. For borderline or malignant ovarian cancer vs benign ovarian lesions, the pooled likelihood ratio for the occurrence of a positive magnetic resonance result was 6.6 (95% confidence interval, 4.7-9.2) and the posttest probability for borderline or malignant diagnosis was 77% (95% confidence interval, 70-82). Because specificity and likelihood ratio positive were heterogeneous, a random effect model was used and a summary receiver operating characteristic curve was generated. For borderline or malignant ovarian cancer vs benign ovarian lesions, the area under curve was 0.9526.
Conclusion: Magnetic resonance seems to be a useful preoperative test for predicting the diagnosis of pelvic masses.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ajog.2010.08.031 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!