European Journal of Radiology, Год журнала: 2024, Номер 181, С. 111788 - 111788
Опубликована: Окт. 14, 2024
Язык: Английский
European Journal of Radiology, Год журнала: 2024, Номер 181, С. 111788 - 111788
Опубликована: Окт. 14, 2024
Язык: Английский
Cancers, Год журнала: 2025, Номер 17(3), С. 478 - 478
Опубликована: Фев. 1, 2025
Background/Objectives: Tumor interactions with their surrounding environment, particularly in the case of peritumoral edema, play a significant role tumor behavior and progression. While most studies focus on radiomic features core, this work investigates whether edema exhibits distinct fingerprints specific to glioma (GLI), meningioma (MEN), metastasis (MET). By analyzing these patterns, we aim deepen our understanding microenvironment’s development Methods: Radiomic were extracted from regions T1-weighted (T1), post-gadolinium (T1-c), T2-weighted (T2), T2 Fluid-Attenuated Inversion Recovery (T2-FLAIR) sequences. Three classification tasks using those then conducted: differentiating between Low-Grade Glioma (LGG) High-Grade (HGG), distinguishing GLI MET MEN, examining all four types, i.e., LGG, HGG, MET, observe how tumor-specific signatures manifest edema. Model performance was assessed balanced accuracy derived 10-fold cross-validation. Results: The types more T1-c images compared other modalities. best models, utilizing images, achieved accuracies 0.86, 0.81, 0.76 for LGG-HGG, GLI-MET-MEN, LGG-HGG-MET-MEN tasks, respectively. Conclusions: This study demonstrates that as characterized by MRIs, contains type, providing non-invasive approach tumor-brain interactions. results hold potential predicting recurrence, progression pseudo-progression, assessing treatment-induced changes, gliomas.
Язык: Английский
Процитировано
2European Radiology, Год журнала: 2025, Номер unknown
Опубликована: Фев. 19, 2025
Abstract Objectives To investigate the intra- and inter-rater reliability of total methodological radiomics score (METRICS) its items through a multi-reader analysis. Materials methods A 12 raters with different backgrounds experience levels were recruited for study. Based on their level expertise, randomly assigned to following groups: two groups, intra-rater where each group included one without preliminary training session use METRICS. Inter-rater groups assessed all 34 papers, while completed assessment 17 papers twice within 21 days time, “wash out” period 60 in between. Results was poor moderate between 1 (without training; ICC = 0.393; 95% CI 0.115–0.630; p 0.002), 2 (with 0.433; 0.127–0.671; 0.002). The analysis excellent 9 12, good 8 10, rater 7, 11. Conclusion METRICS relatively good, low. This highlights need further efforts achieve common understanding items, as well resources consisting explanations, elaborations, examples improve reproducibility enhance usability robustness. Key Points Questions Guidelines scoring tools are necessary quality research; however, application these is challenging less experienced . Findings Intra-rater high across regardless or previous training, generally Clinical relevance proper reporting research closing gap clinical implementation. There offering robustness guidelines
Язык: Английский
Процитировано
0Computer Methods and Programs in Biomedicine, Год журнала: 2025, Номер unknown, С. 108771 - 108771
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0European Journal of Radiology, Год журнала: 2024, Номер 181, С. 111788 - 111788
Опубликована: Окт. 14, 2024
Язык: Английский
Процитировано
1