Search Tag: Radiology
2025 25 Nov
Healthcare’s environmental footprint is under increasing scrutiny, and imaging is a recognised contributor to sector-wide emissions. Artificial intelligence is now embedded across radiology workflows, supporting image analysis, reconstruction and reporting, which positions it as both an opportunity and a responsibility for sustainable practice....Read more
2025 10 Nov
Rising MRI volumes and increasingly complex examinations continue to pressure radiology services. Responding to this demand, researchers developed a deep learning (DL) model to analyse routine knee MRI and assessed its value for resident radiologists. The model targets 23 conditions across cartilage, menisci, bone marrow, ligaments and other soft...Read more
2025 09 Nov
Contrast-enhanced imaging underpins modern diagnostics, yet adverse responses remain a safety concern. Immediate hypersensitivity reaction to contrast media (CM-IHR) occurs within one hour of administration and ranges from mild to severe, with potential for life-threatening outcomes if not promptly managed. A systematic evaluation consolidated...Read more
2025 31 Oct
Chronic obstructive pulmonary disease (COPD) is often detected late, when symptoms have already progressed and options to slow decline are more limited. Chest radiographs are common in everyday care yet are not used to diagnose COPD. A deep learning model called CXR-Lung-Risk, originally trained to estimate long-term lung-related mortality from...Read more
2025 23 Oct
Right upper quadrant ultrasound (RUQUS) is central to evaluating suspected acute cholecystitis (AC) in emergency care, yet the influence of pre-examination pain control on diagnostic accuracy remains a practical concern. Evidence drawn from a large retrospective cohort of adults presenting with abdominal pain explores whether opioid analgesia...Read more
2025 22 Oct
Knowing before surgery whether cancer cells have started to move through tiny blood or lymph vessels in the cervix, known as lymphovascular space invasion (LVSI), is important for choosing the safest treatment plan. It can influence the extent of surgery, whether fertility-sparing options remain suitable and whether extra treatment is needed afterwards....Read more
2025 21 Oct
Ultra-high-resolution CT promises finer anatomical detail, but achieving consistent image quality depends on how acquisition settings interact with the chosen reconstruction method. One parameter under routine consideration is gantry rotation time, which is often lengthened to help manage dose when small focal spots limit tube current. However,...Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 11 Oct
Diffusion-weighted imaging (DWI) probes tissue microstructure by capturing water motion and translating it into contrast that supports detection, characterisation and treatment assessment across brain and body. Diagnostic value depends on coherent protocol choices, control of artefacts and disciplined interpretation with the apparent diffusion...Read more
2025 06 Oct
Magnetic resonance imaging (MRI) underpins routine neuroimaging, but lengthy acquisitions can challenge patient comfort, increase motion artefacts and slow clinical workflow. Deep learning (DL) reconstruction has emerged to accelerate image acquisition while aiming to maintain diagnostic performance. A single-centre retrospective comparison evaluated...Read more
2025 02 Sep
Microvascular invasion is a key histopathological feature linked to recurrence and poor survival in hepatocellular carcinoma, yet it is confirmed only after surgery, limiting its value for preoperative decision-making. A retrospective multicentre analysis of 655 surgically confirmed cases explored whether three-dimensional fractal dimension derived...Read more
2025 01 Sep
Adrenal adenomas represent the most frequent type of adrenal lesion, accounting for up to 80% of cases. Accurate identification is vital, as management pathways differ markedly between benign adenomas and other adrenal pathologies. Unenhanced computed tomography has long been the standard tool for detecting lipid-rich adenomas, with a 10 Hounsfield...Read more
2025 31 Jul
Gadolinium-based contrast agents (GBCAs) are widely used in magnetic resonance imaging (MRI) to enhance soft tissue contrast, making them indispensable in paediatric radiology. While GBCAs are generally considered safe in the adult population, questions remain about their safety in children, particularly as they are still developing and may undergo...Read more
2025 31 Jul
Total-body PET, also known as long–axial-field-of-view (LAFOV) PET, offers significantly enhanced imaging capabilities through increased sensitivity, reduced radiopharmaceutical dose and shorter scan durations. Despite these benefits, the technology’s high capital and operational costs present a barrier to widespread adoption. In Australia, a novel...Read more
2025 28 Jul
Radiology is central to contemporary clinical practice, offering vital imaging insights that support diagnosis and treatment planning. Formalised radiology reports remain essential for conveying imaging findings to referring physicians, traditionally produced through manual interpretation. To enhance reporting efficiency, speech recognition software...Read more
2025 28 Jul
Post-COVID-19 condition, often referred to as long COVID, affects a significant number of individuals who recover from SARS-CoV-2 infection, particularly those with moderate to severe pneumonia. Persistent respiratory symptoms and chest CT abnormalities are common among these patients. However, the lack of unified terminology and standardised...Read more
2025 12 Jul
Renal masses are increasingly detected incidentally due to the widespread use of advanced imaging technologies. Among these lesions, clear cell renal cell carcinoma (ccRCC) represents the most prevalent malignant subtype and is characterised by a higher risk of metastasis and a poorer prognosis. For cT1 tumours, which remain confined to the kidney...Read more
2025 06 Jul
Radiology departments face mounting diagnostic challenges, especially in light of increased patient volumes and radiologist shortages. Conventional radiography remains the initial modality of choice for fracture assessment, given its accessibility and cost-effectiveness. However, inherent limitations—such as modest sensitivity in certain anatomical...Read more
2025 20 Jun
Artificial Intelligence (AI) has shown promise in improving the efficiency and accuracy of breast cancer screening. While existing studies highlight population-level benefits, evidence regarding its performance across specific patient subgroups remains limited. The ARIES study—a large-scale, multicentre retrospective analysis of over 306,000 screening...Read more
2025 15 Jun
Radiology has long relied on expert annotations to enrich medical imaging data for research and training artificial intelligence systems. These annotations, created by specialists, have traditionally been applied manually—an effort-intensive process that limits scalability. As the demand for large-scale, labelled datasets grows, so does the need...Read more
2025 15 Jun
Effective imaging is essential in managing luminal Crohn’s disease (CD), a chronic inflammatory bowel condition marked by unpredictable relapses and remissions. The European Society of Gastrointestinal and Abdominal Radiology (ESGAR) has issued practice recommendations to guide radiologists in diagnosing and monitoring luminal CD, with a focus...Read more
2025 09 Jun
Recommendations for additional imaging (RAIs) play a critical role in the diagnostic process but have historically varied widely among radiologists and are often ambiguously phrased, leading to potential overuse of imaging and missed follow-ups. Recognising this challenge, a large academic hospital initiated a series of structured, technology-driven...Read more
2025 12 May
Accurate assessment of oestrogen receptor (ER) status is critical in guiding endocrine therapy for metastatic breast cancer. Biopsies are commonly used to determine ER status, yet they are susceptible to sampling errors and may not reflect the heterogeneity across lesions. Imaging alternatives such as computed tomography (CT) and 18F-fluorodeoxyglucose...Read more
2025 04 May
Prostate cancer detection relies heavily on multiparametric magnetic resonance imaging (mpMRI), particularly T2-weighted imaging (T2WI). However, image quality (IQ) varies across scans, often due to motion artifacts or hardware limitations. This variability can prompt unnecessary repeat scans, consuming time and resources. In response, researchers...Read more
2025 14 Apr
The practice of diagnostic radiology has undergone immense transformation due to technological and scientific progress. However, these advancements have not translated into a reduced workload for radiologists. An updated analysis of the 2024 medical imaging literature reveals that, rather than easing the burden, recent developments—especially in artificial...Read more
2025 01 Apr
Accurate preoperative estimation of tumour size is vital in the management of breast cancer, particularly when the lesion presents as an architectural distortion (AD). These distortions, defined as abnormal arrangements of breast tissue without a definite mass, can represent both benign and malignant processes. Determining the precise extent of invasive...Read more
2025 30 Mar
Surgical intervention in Crohn’s disease (CD) often stems from complications caused by intestinal fibrosis, a condition marked by excessive connective tissue formation in the bowel wall. Accurate assessment of this fibrosis remains a clinical challenge, as current diagnostic methods either lack precision or involve invasive procedures. With no...Read more