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OpenAlex konusu

MRI in cancer diagnosis

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 1.950 eser 92 yazar konusu

Çalışmalar

1.950 eser

  1. EPRA U-Net: An Efficient Pyramid Residual Attention Framework for Accurate Infarct Segmentation in Diffusion-Weighted MRI 2026

    Objective: Accurate identification of acute ischemic infarcts on diffusion-weighted magnetic resonance imaging (DWI) is a critical prerequisite for reliable lesion quantification and effective clinical decision support in the management of cerebrovascular events. Methods: This study presents EPRA U-Net (Efficient Pyra…

  2. EPRA U-Net: An Efficient Pyramid Residual Attention Framework for Accurate Infarct Segmentation in Diffusion-Weighted MRI 2026

    Objective: Accurate identification of acute ischemic infarcts on diffusion-weighted magnetic resonance imaging (DWI) is a critical prerequisite for reliable lesion quantification and effective clinical decision support in the management of cerebrovascular events. Methods: This study presents EPRA U-Net (Efficient Pyra…

  3. Imaging-Based Prediction of Key Breast Cancer Biomarkers Using Deep Learning on Digital Breast Tomosynthesis 2026

    Objective: To evaluate the feasibility of using deep learning models applied to digital breast tomosynthesis (DBT) images for non-invasive prediction of breast cancer biomarkers, including estrogen receptor (ER), progesterone receptor (PR), human epithelial growth factor receptor 2 (HER2), Ki-67 proliferation index, a…

  4. Comparison of Automated Maximum Slope Map-Guided versus Manual ROI Placement: Quantitative Analysis of Kinetic Parameters in Ultrafast DCE Breast MRI 2026

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  5. Defining Optimal Cut-offs for Absolute ADC and ADC Ratios in Clinically Significant Prostate Cancer: Correlation with PI-RADS v2.1 and Tumor Aggressiveness 2026

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  6. Performance of Radiomic Features in Stir Sequences in Predicting Histopathological Outcomes of Breast Cancer 2026

    ABSTRACTObjective: Histopathological features of breast cancer are critical in determining treatment and prognosis. The aim of this study is to investigate the performance of radiomic features in short tau inversion recovery (STIR) sequences in predicting histopathological outcomes of invasive breast cancer.Methods: P…

  7. Unlocking Tumor Aggressiveness in Endometrial Cancer: AI-Driven PET/CT Radiomics and Machine Learning for Prediction of High-Risk Tumor Histology 2026

    Purpose: Accurate preoperative risk stratification in endometrial cancer (EC) is essential for guiding surgical and therapeutic decisions. This study aimed to evaluate the discriminative performance of [18F]-FDG PET/CT-derived radiomic features combined with machine learning models for differentiating low-risk (LRH-EC…

  8. Unveiling intratumoral heterogeneity and isocitrate dehydrogenase status in gliomas: a simultaneous fluorine-18 fluorodeoxyglucose PET/MRI study based on 2021 WHO classification 2026

    OBJECTIVES: To evaluate the diagnostic utility of simultaneous fluorine-18 fluorodeoxyglucose ( 18 F-FDG) PET/MRI quantitative parameters in characterizing glioma heterogeneity and predicting isocitrate dehydrogenase (IDH) mutation status, based on the 2021 WHO Classification. METHODS: Twenty-five patients with histop…

  9. Relationship between anatomical, functional, and metabolic parameters obtained from pelvic MRI and whole-body 18F-FDG PET/MRI and distant metastatic disease in primary rectal adenocarcinoma 2026

    PURPOSE: To evaluate the relationships between anatomical, functional, and metabolic parameters and distant metastasis in the primary staging of rectal adenocarcinoma. METHODS: Seventy-three patients with rectal adenocarcinoma, who underwent pelvic MRI and whole-body 18 F-FDG PET/MRI for staging, were included. Anatom…

  10. Cognitive and fusion MRI-Targeted prostate biopsies: A multicenter comparative analysis in 485 patients 2026

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  11. Prognostic Significance of Diffusion-Weighted Imaging in T-Staging of Rectal Cancer and Its Association with 18F-FDG PET/CT Parameters 2026

    Background: This study aimed to investigate the relationship between the apparent diffusion coefficient (ADC) derived from diffusion-weighted imaging (DWI) and metabolic parameters obtained from 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) across different T-stages in patien…

  12. Letter to the Editor: Shear-wave dispersion imaging in breast cancer: methodological considerations and future perspectives 2026

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Akademisyenler

92 akademisyen