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: Tumor response to preoperative chemotherapy is a key prognostic factor for colorectal liver metastases (CRLM), but an accurate non-invasive assessment remains an unmet need.
Objective: To assess the contribution of radiomic analysis of preoperative, post-chemotherapy, gadoxetic acid (Gd-EOB-DTPA)-enhanced MRI to the non-invasive prediction of the pathologic response to systemic therapy of CRLM.
Methods: This retrospective bi-institutional study included all consecutive patients undergoing resection for CRLM (2018-2021) after preoperative oxaliplatin/irinotecan-based chemotherapy. We selected patients with stable disease or partial response at the last restaging, and with post-chemotherapy MRI performed ≤60 days before surgery. The largest CRLM (≥10 mm) was analyzed. Pathologic response was evaluated according to the TRG. The tumor (Tumor-VOI) was manually segmented on the portal venous phase (PVP) and hepatobiliary phase (HBP) sequences; a 5-mm ring of peritumoral tissue was automatically generated (Margin-VOI) and manually corrected. The predictive models underwent internal validation.
Results: Overall, 162 patients (median age 62.5 years, 102 men) were evaluated. Of the 131 patients with a radiologic partial response, 59 (45 %) had no tumor regression at pathology (TRG4-5). The model including both clinical variables and radiomic features extracted from the Tumor-VOI/Margin-VOI of PVP and HBP achieved the best performances: at validation, Accuracy = 0.773, Sensitivity = 0.724, Specificity = 0.812, and ROC-AUC = 0.860. The combined clinical-radiomic model outperformed the pure clinical one (p < 0.001). The features extracted from the Tumor-VOI in PVP and Margin-VOI in HBP had the highest impact.
Conclusion: The addition of radiomic features extracted from the PVP and HBP of post-chemotherapy Gd-EOB-DTPA-enhanced MRI enhanced standard radiologic and clinical assessment of CRLM response to chemotherapy, providing a reliable non-invasive assessment of TRG.
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http://dx.doi.org/10.1016/j.ejrad.2025.112325 | DOI Listing |