Xanthogranulomatous cholecystitis (XGC) is a rare disease, affecting 0.7–13.2 % of patients with cholecystitis [1]. It can be mistaken for thickened-wall gallbladder carcinoma (GBC). XGC presents diverse imaging features due to inflammatory infiltration and fibrosis, resulting in uneven gallbladder wall thickening, often involving surrounding organs and collectively mimicking malignancy [2]. This makes preoperative identification challenging [3]. While fine needle aspiration is the gold standard…
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Retrograde lumbar vein flow and epidural venous congestion in chronic headache patients with or without nutcracker phenomenon: An expanded database of 98 patients
Narrowing of the left renal vein (LRV) between the superior mesenteric artery (SMA) and the aorta, known as Nutcracker phenomenon (NCP), can obstruct venous outflow, rerouting blood through collateral pathways such as the left second lumbar vein (L2LV) and congesting the epidural venous plexus (EVP). This may disrupt the venous-CSF pressure balance, contributing to chronic headaches. The use of time-resolved magnetic resonance angiography (trMRA) for this evaluation has been previously studied, …
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Overview of different reimbursement strategies among contrast-enhanced mammography (CEM) expert centers on a global level – A survey study
Contrast-enhanced mammography (CEM), an imaging technique that uses iodinated contrast medium to allow the visualization of breast lesions and assess tumor neovascularity [1–8], was introduced commercially in 2011 [1,2]. Since then, its popularity has grown exponentially, as evidenced by the increasing numbers of CEM devices, examinations, and published studies [1].
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Automated CAD-RADS scoring from multiplanar CCTA images using radiomics-driven machine learning
Coronary Artery Disease (CAD) is the leading cause of mortality worldwide, accounting for 8.9 million annual deaths, and consists in the formation of atherosclerotic plaques in the arterial wall of coronary arteries [1]. Coronary plaque progression may determine coronary lumen stenosis, impairing blood supply to the myocardium, thus potentially causing major adverse cardiac events (MACE) [2]. The timely and accurate identification of the high-risk coronary plaques is crucial for stratifying pati…
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Development and validation of a preoperative CT-based risk score integrating morphological and body composition parameters to predict recurrence-free survival in gastric cancer patients following curative surgery
Despite advancements in surgical techniques, gastric cancer (GC), the fifth most prevalent malignancy globally and the third leading cause of cancer-related mortality [1], continues to pose significant clinical challenges. The 3-year survival rate for patients with stage II and III GC has risen to over 80 % [2] with the recent advancements in surgery and perioperative chemotherapy. Nevertheless, the postoperative recurrence rate remains high at 22 % to 45 % [2,3]. Surgery is limited to removing …
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Comparing large language models and text embedding models for automated classification of textual, semantic, and critical changes in radiology reports
Radiology reports can change during workflows, especially when residents draft preliminary versions that attending physicians finalize. We explored how large language models (LLM) and embedding techniques can categorize these changes into textual, semantic, or clinically actionable types.
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Impact on MRI technologist of a PI-QUAL v2 educational program on prostate MRI image quality assessment
Over the years, prostate adenocarcinoma (PCa) confirms its significant social impact worldwide [1]. The diagnosis, identification of clinically significant disease, and clinical management of patients with PCa is increasingly relying on the use of prostate MRI (pMRI) [2–4]. Imaging evaluation, however, requires high-quality images in order to ensure adequate diagnostic accuracy [2] and to avoid inappropriate biopsy procedures [4–9]. Image quality can be affected by patient movements, rectal spas…
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MRI imaging features for evaluating the efficacy and prognosis of TACE combined with targeted immunotherapy in unresectable hepatocellular carcinoma
Hepatocellular carcinoma (HCC) is the sixth most common malignancy and the third leading cause of cancer-related death worldwide, accounting for approximately 75 %–85 % of primary liver cancers [1]. Although surgical resection remains the main curative option, the postoperative recurrence rate is high, and the long-term prognosis remains poor. Moreover, a substantial proportion of patients are diagnosed at intermediate or advanced stages, missing the window for potentially curative resection [2–…
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Deep learning reconstruction enhances bone visualization in zero echo time MRI for cervical spondylosis: A prospective study
To evaluate the use of deep learning-based reconstruction (DLR) in zero echo time (ZTE) MRI to improve image quality and reduce scan time for assessing cervical spondylosis.