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New MRI-based Model Improves Prediction of Breast Cancer Progression
April 2025
New study has demonstrated that incorporating MRI-based radiomic features with clinical data significantly improves the prediction of disease upstaging in patients with DCIS.
Read more
23 Feb 2025
Racial Disparities Persist in Access to Same-Day Breast Imaging
Study reveals racial differences in access to breast-imaging services.
21 Feb 2025
Contrast-Enhanced Cone-beam Breast CT Helps Predict Lymphovascular Invasion in Breast Cancer
Contrast-enhanced conebeam breast CT imaging features can help identify lymphovascular invasion status in patients with breast cancer, according to recent research.
19 Feb 2025
Combined Ultrasound Technique Reliable for Ruling Out N2 Disease in Patients with Lung Cancer
Study shows combined endobronchial ultrasound and endoscopic ultrasound (CUS) is a highly reliable tool for ruling out N2 disease in patients with PET-negative lung cancer.
17 Feb 2025
Chest CT Myosteatosis Markers Improve Lung Cancer Survival Predictions
Preoperative myosteatosis markers linked to worse survival in early-stage lung cancer patients, improving risk stratification.
15 Feb 2025
Hormonal Influence on Background Parenchymal Enhancement in CEM
Hormonal factors significantly influence the degree of background parenchymal enhancement (BPE) in CEM, study finds.
12 Feb 2025
Artificial Intelligence Enhances Kidney Cancer Diagnosis with CT Imaging
A new study demonstrates how artificial intelligence (AI) can improve the diagnosis of renal masses using pre-operative CT scans. The AI models developed outperformed experienced radiologists in distinguishing benign from malignant tumors and predicting cancer aggressiveness, paving the way for more precise kidney cancer treatment.
11 Feb 2025
AI Enhances Breast Cancer Screening by Identifying High-Risk Women for MRI
AI proves useful in enhancing breast cancer screening for high-risk women.
9 Feb 2025
Sonographic Imaging and Histopathology: Key Tools to Assess Benign Breast Lesions
Sonographic imaging descriptors combined with histopathological diagnoses can improve the accuracy of assessing benign breast lesions, research shows.
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