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: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
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
98%
921
2 minutes
20
Purpose: The isocitrate dehydrogenase (IDH) genotype is crucial for diagnosing and managing adult-type diffuse glioma. We investigated spatial tumour characteristics in treatment-naïve glioma using an U-Net-based CNN and evaluated associations with metabolic dysfunction and IDH genotype.
Methods: Between 2015 and 2024 patients with confirmed contrast-enhancing glioma were pre-operatively investigated using MRI or [18 F]FET PET/MRI. Automated morphometry using a U-Net-based CNN on standard MRI sequences (T1c, T1, T2, FLAIR) was performed. Contrast-enhancing tumour fraction (CTF), metabolic tumour volume (MTV), total tumour volume (TTV) were determined. Dice coefficient assessed volume intersections. Comparative and statistical analyses included non-parametric tests, ROC curves, regression, and correlation.
Results: A total of 180 patients (male, 114; female, 66; age, M ± SD = 54 ± 15y; IDH-mutant, 63; IDH wild-type, 117) with treatment-naïve glioma were evaluated. [18 F]FET-PET metabolic activity correlated significantly with CTF (p < .05). IDH-mutant gliomas had lower CTF (p < .001) due to higher non-enhancing tumour mass (p < .001) relative to the enhancing mass, unlike IDH wild-type glioblastoma. The CTF predicted IDH genotype with high accuracy (AUC = 0.85, sensitivity 78%, specificity 90%) across datasets. Combining CTF with patient age or SUVmax further improved the classification (ΔAUC = 0.12, p = .02; ΔAUC = 0.09, p > .05). Subgroup analyses showed consistent performance across IDH-mutant subtypes. MTV from [18 F]FET-PET exceeded structurally apparent TTV (p = .033).
Conclusion: Spatial mapping of treatment-naïve glioma identified a non-invasive biomarker, which is linked to metabolic dysfunction and enabled robust IDH-genotype classification from standard MRI, suggesting a central role for radiogenomic assessment in adult-type diffuse gliomas prior to surgery.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00259-025-07520-8 | DOI Listing |