Emerging research showed that AI-generated ADC mapping from MRI led to significant increases in accuracy, PPV and specificity in comparison to conventional ADC mapping while achieving a 93 percent sensitivity for PCa.
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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Dual-Energy CT Boosts Diagnostic Accuracy in Arthritis
(MedPage Today) — Contrast-enhanced dual-energy CT (CE-DECT) helped to diagnose patients with painful and/or inflamed hand joints, researchers said.
Initial diagnoses in 136 patients included in the study were changed following the scans in 67… -
Walking Speed Test Predicts Heart Risk Pre–Kidney Transplant
A simple walking speed test can assess cardiorespiratory function in individuals undergoing assessment before kidney transplant, a UK-based study reveals. Medscape News UK
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Could Liquid Biopsy Guide Treatment in Cervical Cancer?
An analysis of the CALLA study shows that ctDNA is detected an average of 5.5 months before radiographic progression. Medscape Medical News
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Non-English language preference tied to delays in breast care
Non-English language preference is tied to delays in surgical management but doesn’t significantly impact breast cancer survival…
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Targeted Therapy Wins Big for BRAF-Mutated Metastatic CRC
Encorafenib plus cetuximab with chemotherapy is being called the new first-line standard for BRAF V600E-mutant metastatic colorectal cancer following new trial results. Medscape Medical News
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AI model saves time in live radiology clinical practice setting
A generative AI model provided an efficiency benefit in a live radiology clinical practice setting.
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Split-bolus DECT in pediatric CTU: Clinical Promise, methodological caveats
We commend Zhang et al. for exploring the combined application of split-bolus contrast injection and dual-energy CT (DECT) scanning in pediatric CT urography (CTU) [1]. Their prospective design and focus on reducing radiation exposure while enhancing image quality in a vulnerable population are highly valuable. However, we wish to highlight two methodological concerns that may influence the clinical generalizability and interpretability of their findings
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Medical image falsification in radiology science
Radiology plays a crucial role in improving patient outcomes, and its importance in healthcare continues to grow. Radiologists and clinicians rely on scientific publications to support the meaningful use of medical imaging technology in clinical practice. Radiology is an image-oriented discipline, and medical images in a scientific article play a major role in communicating a study’s findings to readers.