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Filename: drivers/Session_files_driver.php
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Function: require_once
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Filename: controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Function: require_once
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Filename: controllers/Detail.php
Line Number: 249
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File: /var/www/html/application/controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Message: Trying to access array offset on value of type null
Filename: controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Filename: models/Detail_model.php
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Function: strpos
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Function: insertAPISummary
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Function: str_replace
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Function: formatAIDetailSummary
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Filename: controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Filename: controllers/Detail.php
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Line: 256
Function: _error_handler
File: /var/www/html/index.php
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Filename: controllers/Detail.php
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File: /var/www/html/index.php
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Filename: controllers/Detail.php
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File: /var/www/html/index.php
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Filename: controllers/Detail.php
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File: /var/www/html/index.php
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Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
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File: /var/www/html/index.php
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Filename: controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Filename: controllers/Detail.php
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File: /var/www/html/index.php
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Filename: controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Filename: controllers/Detail.php
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Line: 260
Function: _error_handler
File: /var/www/html/index.php
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Filename: controllers/Detail.php
Line Number: 260
Backtrace:
File: /var/www/html/application/controllers/Detail.php
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Function: require_once
Objective: The aim of our study was to evaluate the individual contribution of parity when incorporated as another parameter into the four risk of malignancy indices (RMI 1-4) to differentiate noninvasive benign lesions from invasive malignant ovarian lesions.
Materials And Methods: After calculating RMI 1-4 for each patient included in this study, the resulting RMI scores were further multiplied by the parity score (P) of each patient to calculate the RMI parity (RMIP) score.
Results: A cutoff value of 300 for RMIP 1 yielded 95.0% specificity, 97.4% negative predictive value (NPV), 88.5% sensitivity, and 79.3% positive predictive value (PPV) and performed better than RMI 1 in the preoperative diagnosis of invasive malignant lesions. RMIP 2 with a cutoff value of 400 yielded 95.0% specificity, 97.4% NPV, 88.5% sensitivity, and 79.3% PPV, and it also performed better than RMI 2. A cutoff value of 400 for RMIP 3 provided 97.5% specificity, 97.5% NPV, 88.5% sensitivity, and 88.5% PPV and performed better than RMI 3. However, a cutoff value of 400 for RMIP 4 provided 90.0% specificity, 97.3% NPV, 88.5% sensitivity, and 65.7% PPV but did not perform better than RMI 4 in the preoperative diagnosis of invasive malignant lesions.
Conclusion: RMIP 1-3 scales were more reliable tools for the preoperative diagnosis of invasive adnexal masses compared with the traditional RMI 1-3 scales.
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http://dx.doi.org/10.1016/j.tjog.2014.08.003 | DOI Listing |
Cancers (Basel)
November 2024
Precision Medicine Lung Cancer Center, Konkuk University Medical Center, Seoul 05029, Republic of Korea.
: Lung nodules detected by chest computed tomography (CT) often require invasive biopsies for definitive diagnosis, leading to unnecessary procedures for benign lesions. A blood-based biomarker test that predicts lung cancer risk in CT-detected nodules could help stratify patients and direct invasive diagnostics toward high-risk individuals. : In this multicenter, single-blinded clinical trial, we evaluated a test measuring plasma levels of p53, anti-p53 autoantibodies, CYFRA 21-1, and anti-CYFRA 21-1 autoantibodies in patients with CT-detected lung nodules.
View Article and Find Full Text PDFDiagnostics (Basel)
November 2024
Department of Internal Medicine, Dong-A University College of Medicine, 32 Daeshingongwonro, Seo-gu, Busan 49021, Republic of Korea.
: Multiple non-invasive tests (NITs) for identifying advanced fibrosis in patients with non-alcoholic fatty liver disease (NAFLD) are available, but, due to the limitations of single NITs, the American Association for the Study of Liver Disease (AASLD) guidelines suggest a two-step strategy, combining the Fibrosis-4 Index (FIB-4) score with the Enhanced Liver Fibrosis (ELF) test to improve diagnostic accuracy and minimize unnecessary liver biopsies. However, few real-world studies have used such a sequential approach. We here evaluated the diagnostic accuracy of the ELF test in patients with recently established metabolic dysfunction-associated steatotic liver disease (MASLD) and assessed the clinical utility of applying a two-step strategy, including the ELF test following the FIB-4 score assessment, in patients with MASLD.
View Article and Find Full Text PDFUlus Travma Acil Cerrahi Derg
October 2024
Department of Emergency Medicine, Aksaray, Aksaray University, Faculty of Medicine-Türkiye.
Prev Vet Med
December 2024
Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Parkville, Victoria 3010, Australia.
J Magn Reson Imaging
July 2024
Department of Xi'an International Medical Center Hospital, Northwest University, Xi'an, China.
Background: There is increasing interest in utilizing AI-generated content for gadolinium-free contrast-enhanced breast MRI.
Purpose: To develop a generative model for gadolinium-free contrast-enhanced breast MRI and evaluate the diagnostic utility of the generated scans.
Study Type: Retrospective.
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