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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Association of preablation tumor biopsy and long-term outcomes of colorectal liver oligometastases
Ultrasound-guided percutaneous liver biopsy (PLB) is widely applied in clinical practice as an indispensable tool, especially for radiologically indeterminate lesions [1,2]. The National Comprehensive Cancer Network (NCCN), the European Society for Medical Oncology (ESMO), and the Chinese Society of Clinical Oncology (CSCO) have all confirmed the value of PLB as a diagnostic strategy for liver lesions [3–6]. The biopsy specimens can provide tumor-specific characteristics, including histopatholog…
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Semi-supervised spatial-frequency transformer for metal artifact reduction in maxillofacial CT and evaluation with intraoral scan
Computed tomography (CT) is a cornerstone in radiology, widely used for assessing tumors, inflammation, and trauma, serving as a vital tool for disease diagnosis and treatment [1]. However, in maxillofacial CT scans, the presence of dental prostheses, such as crowns, bridges and implants, introduces severe metal artifacts that compromise CT’s clinical utility. These artifacts often manifest as dark and bright streaks across the CT images, significantly obscuring critical anatomical structures an…
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Image normalization techniques and their effect on the robustness and predictive power of breast MRI radiomics
Radiomics-based image analysis is a rapidly evolving field that aims to extract quantitative features from medical images, to improve disease diagnosis, prognosis and treatment planning [1]. Multiple factors influence radiomics feature values, including variations in image acquisition and reconstruction (such as different scanners), ROI segmentation, image pre-processing, and biological variability due to patient-specific factors. Among these, normalization methods used in image pre-processing h…
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Comparing the diagnostic performance of DSC-MRI and FAPI PET in differentiating tumor progression from treatment-related changes in IDH-Wildtype Glioblastoma: A pilot study
Glioblastoma is characterized by rapid growth, invasive behavior, and poor prognosis [1]. Despite advancements in therapeutic approaches, including surgery and chemoradiotherapy, the median survival is dismally low [2,3]. Effective monitoring of glioblastoma is critical for optimizing treatment strategies and improving patient outcomes.
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Radiomics-based histological grading of pancreatic ductal adenocarcinoma using 18F-FDG PET/CT: A two-center study
To explore the value of radiomics features derived from 18F-FDG PET/CT images in predicting the histological grade of pancreatic ductal adenocarcinoma (PDAC).
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Contrast enhanced ultrasound versus MRI for response assessment of extra-abdominal desmoid Fibromatosis- A feasibility study
Desmoid Fibromatosis (DF) is a locally aggressive soft tissue tumor which was traditionally managed with surgical excision. However due to high rates of local recurrence and insights about its behavior, there is now a paradigm shift towards active surveillance and medical management. Imaging plays a crucial role in surveillance and treatment response; however, conventional RECIST criteria are not adequate for DF. MRI is the preferred modality but faces limitation in availability and uniformity. …
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Advancements in diagnosing stiffness and vascularization of synovitis in hands and wrists using shear wave elastography and power doppler ultrasound in patients with systemic lupus erythematosus
This study aimed to compare synovial joint effusion stiffness and vascularization using shear wave elastography (SWE) and Power Doppler ultrasound (PDU) among systemic lupus erythematosus (SLE) patients with varying joint symptoms and healthy controls and to explore associations with patient characteristics.
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Preoperative identification of hepatocellular carcinoma from focal liver lesions ≤ 20 mm in high-risk patients using clinical and contrast-enhanced ultrasound features
Hepatocellular carcinoma (HCC) is the most common primary liver malignancy [1] and the second leading cause of cancer-related deaths worldwide [2]. High-risk patients, including those with liver cirrhosis, chronic hepatitis B or C, or alcohol abuse, require imaging surveillance [3].
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Accuracy of a deep neural network for automated pulmonary embolism detection on dedicated CT pulmonary angiograms
Pulmonary embolism (PE) is a serious and potentially fatal condition, and with its high incidence and mortality rate, it ranks as the third most common cardiovascular syndrome worldwide [1]. With the advancement in imaging technology, including improved image quality, the sensitivity of PE detection has increased [2]. CT pulmonary angiography (CTPA) is currently the first-line modality for diagnosing PE due to its excellent accuracy and low rate of inconclusive results [3,4]. Now, clinicians are…