Breast cancer is the second most commonly diagnosed malignancy and the leading cause of cancer-related mortality among women, according to the GLOBOCAN 2022 [1]. Axillary lymph node metastasis (ALNM) represents a critical prognostic factor and plays a pivotal role in guiding surgical and therapeutic decision-making [2]. Although axillary lymph node dissection (ALND) has traditionally served both diagnostic and therapeutic purposes, its associated morbidities—including lymphedema and nerve injury…
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From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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Gradient magnitude-based texture feature of the entorhinal cortex as a biomarker for Alzheimer’s disease
Alzheimer’s disease (AD), the most common type of dementia, is characterized by a gradual decline in cognitive function due to the progressive accumulation of physiological alterations and damage to neurons [1]. As the disease advances, it affects not only memory but also language, judgment, and the ability to perform everyday activities, ultimately leading to a stage where even simple daily tasks become unmanageable [2]. Mild cognitive impairment (MCI) represents a transitional stage preceding …
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Enhanced shielding effectiveness for scattered X-rays in diagnostic radiology using origami-inspired 3D tungsten functional paper structures
Tungsten functional paper (TFP) combines radiation shielding with light weight and flexibility. Three-dimensional (3D) structures using origami techniques can increase the effective surface area of shielding materials, potentially enhancing scattered radiation protection.
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MRI-based deep learning and radiomics for preoperative prediction of P53abn endometrial cancer: A multicenter study
To develop and validate a non-invasive magnetic resonance imaging (MRI)-based deep learning and radiomics approach for the preoperative differentiation of p53 abnormal (P53abn) endometrial cancer, facilitating refined risk stratification for personalized treatment planning.
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Transfemoral vs. through-and-through wire technique for iliac branch device implantation – single-center retrospective study
The increasing application of endovascular modalities of various complexity for abdominal aortic pathology has resulted in changes to the start-of-the-art for iliac aneurysms treatment.[1,2] For instance, previous experience with standard endovascular aortic repair (EVAR) procedures revealed that ecstatic iliac landing zone compromised the durability of repair because of type IB endoleak formation.[3–6] In isolated cases with type IB endoleak following standard/complex EVAR, iliac branch device …
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Comprehensive non-invasive assessment of cardiac allograft vasculopathy and myocardial involvement in heart transplant patients using cardiac computed tomography
Heart transplantation is the ultimate treatment for end-stage heart failure, significantly extending life expectancy. However, long-term outcomes are limited by cardiac allograft vasculopathy (CAV) and allograft rejection (AR) despite advances in immunosuppression [1–3]. Endomyocardial biopsy (EMB) and invasive coronary angiography (ICA) remain the gold standard for evaluating AR and CAV, respectively [4]. However, both are invasive, carry procedural risks, and exhibit limitations in sensitivity…
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Differentiating large-duct pancreatic ductal adenocarcinoma from malignant intraductal papillary mucinous neoplasm: MRI characteristics and diagnostic implications
Pancreatic ductal adenocarcinoma (PDAC) is the most common pancreatic malignancy and is characterized by aggressive behavior and a poor prognosis, with a 5-year overall survival rate of < 10% [1,2]. Large-duct PDAC (LD-PDAC) is a recently recognized morphologic variant of PDAC and is characterized by dilated glandular structures (i.e., large cancer glands) that comprise more than 50% of the tumor [3–5].
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Concurrent driver mutations induce distinct tumour morphologies on radiological imaging
Most radiogenomic studies examine single driver mutations in isolation, despite evidence that co-occurring driver alterations are common and functionally interacting in cancer. Whether concurrent mutations produce distinct imaging phenotypes or simply average single-mutation effects remains unknown.
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Non-invasive prediction of Ki-67 expression in gastric cancer using AI-based dual-energy CT: a multicenter study
To develop and validate a machine learning model based on quantitative parameters of dual-energy CT (DECT) virtual monoenergetic images (VMIs) for the noninvasive preoperative prediction of Ki-67 expression status in gastric cancer
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Explainable and evidence-linked recommendations for spine surgery via a retrieval-augmented LLM agent
Spine-related disorders have received increasing attention globally, and according to the latest GBD 2021 data, the global prevalence of neck pain is 588.53/100,000, corresponding to approximately 43.286 million cases, while the prevalence of lower back pain reaches 3381.84/100,000, with more than 267 million cases [1]. The prevention and treatment of spinal disorders, one of the most disabling health problems in the world, is facing serious challenges.