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: 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
Purpose: This study proposes optimal tracer-specific threshold-based window levels for PSMA PET-based intraprostatic gross tumour volume (GTV) contouring to reduce interobserver delineation variability.
Methods: Nine Ga-PSMA-11 and nine F-PSMA-1007 PET scans including GTV delineations of four expert teams (GTV) and a majority-voted GTV (GTV) were assessed with respect to a registered histopathological GTV (GTV) as the gold standard reference. The standard uptake values (SUVs) per voxel were converted to a percentage (SUV%) relative to the SUV. The statistically optimised SUV% threshold (SOST) was defined as those that maximises accuracy for threshold-based contouring. A leave-one-out cross-validation receiver operating characteristic (ROC) curve analysis was performed to determine the SOST for each tracer. The SOST analysis was performed twice, first using the GTV contour as training structure (GTV) and second using the GTV contour as training structure (GTV) to correct for any limited misregistration. The accuracy of both GTV and GTV was calculated relative to GTV in the 'leave-one-out' patient of each fold and compared with the accuracy of GTV.
Results: ROC curve analysis for Ga-PSMA-11 PET revealed a median threshold of 25 SUV% (range, 22-27 SUV%) and 41 SUV% (40-43 SUV%) for GTV and GTV, respectively. For F-PSMA-1007 PET, a median threshold of 42 SUV% (39-45 SUV%) for GTV and 44 SUV% (42-45 SUV%) for GTV was found. A significant pairwise difference was observed when comparing the accuracy of the GTV contours with the median accuracy of the GTV contours (median, - 2.5%; IQR, - 26.5-0.2%; p = 0.020), whereas no significant pairwise difference was found for the GTV contours (median, - 0.3%; IQR, - 4.4-0.6%; p = 0.199).
Conclusions: Threshold-based contouring using GTV-trained SOSTs achieves an accuracy comparable with manual contours in delineating GTV. The median SOSTs of 41 SUV% for Ga-PSMA-11 PET and 44 SUV% for F-PSMA-1007 PET form a base for tracer-specific window levelling.
Trial Registration: Clinicaltrials.gov ; NCT03327675; 31-10-2017.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1007/s00259-020-05059-4 | DOI Listing |
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