Severity: Warning
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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
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Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
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Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
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Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
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Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
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Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
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Function: require_once
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Background: MRI-targeted biopsy (MRTB) improves the clinically significant prostate cancer (csPCa) detection rate with fewer biopsy cores in men with suspected PCa. However, whether concurrent systematic biopsy (SB) can be avoided in patients undergoing MRTB remains unclear.
Purpose: To evaluate the potential value of MRI-based radiomics models in avoiding unnecessary SB in biopsy-naïve patients.
Study Type: Retrospective.
Population: A total of 226 patients (mean age 66.6 ± 9.02 years) with suspicion of PCa (PI-RADS score ≥ 3) and received combined cognitive MRTB with SB were retrospectively recruited and randomly divided into training (N = 180) and test (N = 46) cohorts at an 8:2 ratio.
Field Strength/sequence: A 3.0 T, biparametric MRI (bpMRI) including T2-weighted imaging (T2WI) and apparent diffusion coefficient (ADC) map.
Assessment: The whole prostate gland (PG) and the index lesion (IL) were delineated. Three radiomics models of bpMRI , bpMRI , and bpMRI were constructed, respectively, and the performance of each radiomics model was compared with that of PI-RADS assessment.
Statistical Tests: The least absolute shrinkage and selection operator (LASSO) regression method was used to select texture features. The area under the curve (AUC) and decision curve analysis were used to estimate the models.
Results: The bpMRI radiomics model exhibited good discrimination, calibration, and net benefits, which would reduce the SB biopsy in 71.2% and 71.4% of men with PI-RADS ≥ 5 lesions in the training and test cohorts, respectively.
Data Conclusion: A bpMRI radiomics model may outperform PI-RADS category in help reducing unnecessary SB in biopsy-naïve patients.
Evidence Level: 3 TECHNICAL EFFICACY: Stage 6.
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http://dx.doi.org/10.1002/jmri.28333 | DOI Listing |