Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Background: The purpose of this study was to identify semiquantitative parameters of [F]FDG PET/CT using a digital PET scanner, which may increase diagnostic accuracy and readers' confidence in the diagnosis of infective endocarditis (IE).
Results: Images of 82 patients undergoing [F]FDG PET/CT for suspected IE were visually and semiquantitatively analyzed. Standardized uptake values (SUV) of suspected foci, also normalized to liver, mediastinum and surrounding activity were calculated. For each, best thresholds were identified to diagnose endocarditis. Final diagnosis was reached by consensus in a multidisciplinary board. Semiquantitative analysis (SUV/SUV mediastinum, SUV/SUV liver, SUV/SUV mediastinum, SUV/SUV liver, SUV/SUV liver, SUV/SUV mediastinum, SUV focus/SUV focus, SUV/SUV surrounding) added to visual interpretation increased sensitivity (57-86%), specificity (83-93%), PPV (64-86%), NPV (79-93%) and diagnostic accuracy (74-90%) when using best SUVs thresholds (all p < 0.05).
Conclusions: Combining visual and semiquantitative analysis allows for a more accurate diagnosis of IE, and might be implemented into clinical routine.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12183137 | PMC |
http://dx.doi.org/10.1186/s41824-025-00256-6 | DOI Listing |