Knee osteoarthritis (KOA) is the most common degenerative disease affecting cartilage, meniscus, synovium, and subchondral bone [1]. By the questionnaire method, the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) can quantitatively evaluate the pain in KOA patients [2]. As the gold standard for diagnosing radiographic KOA (RKOA), the Kellgren and Lawrence grades (KLGs) are usually used in clinical practice based on the knee X-ray images [3]. However, only a clear image of…
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From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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Cross-sectional imaging of congenital and acquired hepatic vascular abnormalities
The liver has a peculiar vascular supply that is relevant from both a surgical and a radiological perspective. A clear distinction should be made between the microvasculature and macrovasculature, as they have different implications. The macrovasculature, which includes larger vessels (hepatic artery, portal and hepatic veins), is directly visible using conventional imaging modalities. In contrast, the microvasculature operates at the histopathological level and is not directly visualized on ima…
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Comment on the diagnostic impact of BPE in contrast-enhanced mammography: is BPE in CEM really that problematic?
I read your recent article with interest by Bechyna et al. [1] examining the diagnostic implications of background parenchymal enhancement (BPE) in contrast-enhanced mammography (CEM). It can be considered a pilot and important study on CEM, which has recently started showing its strong effects. Your study emphasizes the significant negative effect of moderate to marked BPE on the diagnostic performance of CEM, especially in premenopausal women with dense breasts. However, there are a few import…
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The influence of anatomical shape variations of wrist bones on bone orientation values in CT scans
Wrist injuries, like scapholunate ligament (SL) lesions, might cause abnormal kinematics of the wrist joint, which progress to osteoarthritis if left untreated. However, due to the complexity of the wrist joint, composed of eight carpal bones, two forearm bones, and multiple extrinsic and intrinsic ligaments, an accurate diagnosis of pathology is often challenging [1–4].
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Accuracy evaluation of an automatic landmarking method based on 3D segmented CT scans of full lower limbs with knee osteoarthritis
Standards of care in orthopaedic lower limb surgery have evolved substantially over recent decades. Improvements in surgical tools, implants and accurate pre-operative planning have enhanced surgeon precision. Navigation systems[1,2], patient-specific instrumentation[3] and 3-Dimensional (3D) image-based planning[4] were developed in the late 1990 s and have been used primarily for joint replacements and osteotomies. Moreover, knee arthroplasty (KA) has seen a paradigm shift over the last decade…
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Long-term outcomes of carotid artery stenting for carotid near-occlusion
Carotid artery near-occlusion (CANO) is a severe form of internal carotid artery (ICA) stenosis marked by marked narrowing of the post-stenotic distal ICA[1,2]. Imaging features of CANO include marked post-stenotic narrowing of the distal ICA, often accompanied by reduced flow, delayed contrast transit, and the presence of intracranial collateral circulation[1]. The degree of distal ICA narrowing in CANO can vary, ranging from a threadlike, markedly narrowed distal ICA in cases with full collaps…
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Near Peer Mentoring: An Opportunity for Trainees and Departments to Thrive
Given time and resource constraints in academic medical centers, creation of near peer mentoring opportunities has advantages for all individual and department stakeholders. However, many residents may feel unprepared and uncomfortable when asked to participate in these interactions. After reviewing available literature, advantages for incorporation of near peer mentoring and a suggested framework for incorporation of a mentoring curriculum into residency is provided.
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Diagnostic Imaging's Weekly Scan: June 29 — July 5
Catch up on the top radiology content of the past week.
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Comparison of nodule volumetric classification by using two different nodule segmentation algorithms in an LDCT lung cancer baseline screening dataset
Lung cancer remains the deadliest cancer in the world, accounting for 18 % of cancer-related deaths in 2020 [1]. The use of low-dose computed tomography (LDCT) in lung cancer screening (LCS) for high-risk populations has successfully reduced lung cancer-specific mortality by detecting more early stage cancers [2–4]. Motivated by this evidence, several countries are now implementing LDCT LCS programs [5–8].
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Impact of super-resolution deep learning-based reconstruction for hippocampal MRI: A volunteer and phantom study
To evaluate the effects of super-resolution deep learning-based reconstruction (SR-DLR) on thin-slice T2-weighted hippocampal MR image quality using 3 T MRI, in both human volunteers and phantoms.