A stroke, or cerebrovascular accident (CVA), is a significant cause of mortality and morbidity globally [1]. Strokes are categorized ischemic, caused by blood vessel blockage, or hemorrhagic, caused by a vessel rupture, both leading to interrupted blood flow to the brain tissues [2,3].
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From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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Keeping AI on Track: Regular monitoring of algorithmic updates in mammography
Artificial intelligence (AI) algorithms interpreting screening mammography exhibit diagnostic performance that can match or supersede human performance [1]. Unlike traditional medical products, AI is more fluid and can change overtime [2]. Although seen as a fundamental advantage of machine learning, this fluidity carries inherent risks. Prospective clinical trials are essential to understand the impact of AI on screening workflows before their implementation [3]. However, once implemented into …
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Ultrasound versus magnetic resonance imaging features in diagnosing placenta accreta: A systematic review and meta-analysis
Placenta accreta spectrum (PAS) disease is described as improper adhesion or invasion of trophoblast tissue to the myometrium and serosa, which is a form of disease that is extremely damaging to pregnant women in clinical practice [1]. Risk factors for PAS include placenta previa, multiple deliveries, advanced maternal age, and cesarean sections, with the latter having the most impact and raising the risk with the number of prior cesarean sections [1,2]. The incidence of PAS has been steadily ri…
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Role of imaging based response assesment for adapting neoadjuvant systemic therapy for breast cancer: A systematic review
Neoadjuvant systemic therapy (NST) has become the first-line treatment for locally advanced breast cancers and for selected cases of early-stage breast cancer. [1,2]. In addition to NST, the effectiveness of neoadjuvant endocrine therapy is being investigated in hormone receptor positive tumors. Furthermore, targeted therapies such as CDK4/6, PARP, and immune checkpoint inhibitors are under investigation [3,4].
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Ai-supported approaches for mammography single and double reading: A controlled multireader study
The use of artificial intelligence (AI) in mammography interpretation has been widely discussed in recent years. Traditional computer-aided detection (CAD) systems, introduced in the 1990 s, were initially expected to reduce diagnostic errors, but their high false-positive rates and limited ability to improve cancer detection accuracy led to mixed results [1–3]. However, the advent of deep learning-based AI systems has changed this narrative. Recent studies have shown that AI, when applied to ma…
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Assessment of lymph node metastases in patients with ovarian high-grade serous carcinoma: Incremental diagnostic value of dual-energy CT combined with morphologic parameters
Ovarian cancer (OC) is one of the deadliest gynecological malignancies and ranks fifth in cancer-related deaths among women [1]. Epithelial ovarian cancer is the most important histological subtype, accounting for approximately 90 % of ovarian cancer, with High-Grade Serous Carcinoma (HGSC) being the most common type [2]. Due to the occult symptomatic progression of the disease, most patients are diagnosed at advanced stages with FIGO stage III–IV. For these advanced stage patients, chemotherapy…
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Workload of diagnostic radiologists in the foreseeable future based on recent (2024) scientific advances: Updated growth expectations
The workload of diagnostic radiologists has increased considerably over the past decades [1–4]. If this increased workload is not compensated with a commensurate increase in radiologist staffing, the consequent work overload may potentially lead to diagnostic errors and burnout [4–8].
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Contribution of lesion shape features to the VI-RADS for predicting muscle invasion in bladder tumors
Bladder cancer is one of the most common cancers in the world and ranks 9th. In the urogenital system, it is the most common malignancy after prostate [1]. With its increasing incidence, it has become the fourth most common malignancy in the male patient group, after lung, prostate and colorectal cancer. For this reason, in addition to its case-based importance, it is also considered as a public health problem.
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Non-hypervascular pancreatic neuroendocrine neoplasms differentiation from CA19-9 negative pancreatic ductal adenocarcinomas based on contrast CT: A large sample series
Pancreatic neuroendocrine neoplasms (PNENs) represent the second most common type of pancreatic tumors, with an incidence rate of approximately 0.32–0.48 per 100,000 individuals [1,2]. In recent years, advancements in imaging techniques and heightened health awareness have significantly increased the detection rates of PNENs. On contrast-enhanced computed tomography (CT), PNENs typically appear as isolated homogenously hyperdense mass, indicative of their hypervascular nature [3]. However, up to…
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Imaging-based surveillance in patients with initially detected pancreatic cystic lesions
Pancreatic cystic lesions (PCLs) are more commonly being diagnosed, due in large part to technical improvements and the increasing use of abdominal imaging that enables detection of small pancreatic lesions [1,2]. The reported incidence of PCLs ranges from 13.5 % to 30 % [3–6]. As the number of patients with incidentally detected PCLs continues to rise, questions are being raised regarding the optimal way to manage them. The vast majority of incidentally found PCLs are asymptomatic and benign, b…