OBJECTIVE: Spread of disease in the retroperitoneum is dictated by the complex anatomy of retroperitoneal fasciae and is still incompletely understood. Conflicting reports have led to insufficient and incorrect anatomical concepts in radiological literature.
METHODS: This review will discuss previous concepts prevalent in radiological literature and their shortcomings will be highlighted. New insights from recent anatomical and embryological research, together with imaging examples, will be used to clarify patterns of disease spread in the retroperitoneum that remain unexplained by these concepts.
RESULTS: The fusion fascia and the renal fascia in particular give rise to planes and spaces that act as vectors for spread of disease in the retroperitoneum. Some of these planes and structures, such as the caudal extension of the renal fascia, have previously not been described in radiological literature.
CONCLUSIONS: New insights, including the various fasciae, potential spaces and planes, are incorporated into an updated combined retroperitoneal fascial concept.

UNASSIGNED: This article aimed to review the main currently described lines and angles and gather them in a single article and arrange them in a systematic way to facilitate the process of assessment of the pediatric foot for deformities.
UNASSIGNED: The review was a scoping literature review. Electronic database websites such as PubMed, Europe PMC, Cochrane Library, and Google Scholar in addition to some books on anatomy and human movements biomechanics, diagnostic radiology, and orthopedics were searched for relevant articles for the topic of the present review. No statistical analysis was applied in this review.
UNASSIGNED: Data from thirty articles included in this review were arranged into different subheadings. In the anteroposterior view (AP), assessment of the hindfoot deviation was by the AP talo-calcaneal angle (Kite\'s angle); the forefoot and midfoot for abduction and adduction alignment was by the AP talo-first metatarsal angle, the talo-second metatarsal angle, the calcaneo-second metatarsal angle, the calcaneofifth metatarsal angle; the forefoot and midfoot rotation was by observing the normal proximal convergence of the metatarsal bones axes. In the lateral view, assessment of the hindfoot sagittal plane alignment was by the lateral tibio-calcaneal angle; hindfoot varus or valgus deviation by the lateral talo-calcaneal angle; talus bone alignment by talar declination angle and the tibio-talar angle; calcaneal bone alignment by the calcaneal inclination angle and the tibio-calcaneal angle, the midfoot and forefoot sagittal plane alignment for the plantar arch by the lateral talo-first metatarsal -Meary\'s- angle, the calcaneal inclination angle, and the lateral calcaneofirst metatarsal -Hibbs- angle; forefoot and midfoot rotational alignment by observing the overlap shadows of the metatarsals\' shafts and drawing their axes.
UNASSIGNED: Drawing certain lines and angles with a systematic approach to assess different regions of the foot in the radiographic films of children can facilitate the process of assessment of the foot (as a whole) for deformities.

We conducted a systematic review of research in artificial intelligence (AI) for retinal fundus photographic images. We highlighted the use of various AI algorithms, including deep learning (DL) models, for application in ophthalmic and non-ophthalmic (i.e., systemic) disorders. We found that the use of AI algorithms for the interpretation of retinal images, compared to clinical data and physician experts, represents an innovative solution with demonstrated superior accuracy in identifying many ophthalmic (e.g., diabetic retinopathy (DR), age-related macular degeneration (AMD), optic nerve disorders), and non-ophthalmic disorders (e.g., dementia, cardiovascular disease). There has been a significant amount of clinical and imaging data for this research, leading to the potential incorporation of AI and DL for automated analysis. AI has the potential to transform healthcare by improving accuracy, speed, and workflow, lowering cost, increasing access, reducing mistakes, and transforming healthcare worker education and training.

UNASSIGNED: We present a case of cortical laminar necrosis after severe hydrocephalus to highlight considerations for multimodal cerebral autoregulation monitoring to determine mean arterial pressure (MAP) thresholds during neurological emergencies, as well as postoperative head imaging for patients with ventriculoperitoneal shunts (VPS).
UNASSIGNED: A 40-year-old woman with a history of Chiari II malformation and non-communicating hydrocephalus with VPS presented in septic shock from a sacral wound. One week after colostomy for fecal diversion, the patient became comatose and had progressive slowing to full suppression on electroencephalogram (EEG).
UNASSIGNED: CT imaging revealed hydrocephalus, most likely due to VPS distal obstruction from intraperitoneal surgery. Despite neurosurgical and neurocritical care management, MRI confirmed diffuse cortical hypoxic ischemic injury.
UNASSIGNED: The Neurocritical Care Society\'s Emergency Neurological Life Support (ENLS) protocol for neurological emergencies focuses on managing increased intracranial pressure (ICP) but does not set MAP goals. As ICP may be very high during brain herniation, our case demonstrates that higher MAP may be required to maintain adequate circulation. To determine the optimal MAP target, bedside multimodality monitoring, including ICP monitors, transcranial doppler, and near infrared spectroscopy, can help establish individualized cerebral autoregulation guided thresholds. Outside of a neurological intensive care unit, EEG can monitor cerebral blood flow and indicate windows for intervention before exam or imaging changes. Additionally, our case demonstrates how a post-operative surveillance CT head should be considered for patients with VPS.

UNASSIGNED: To gather, summarize, and appraise the available evidence on: 1) the accuracy of chest CT scan in diagnosing COVID-19 among children, and 2) the characteristic chest CT scan findings associated with COVID-19 pneumonia in children.
UNASSIGNED: We comprehensively searched databases (MEDLINE, COCHRANE), clinical trial registries, bibliographic lists of selected studies, and unpublished data for relevant studies. Guide questions from the Painless Evidence Based Medicine and the National Institutes of Health Quality Assessment Tools were used to assess study quality.
UNASSIGNED: A poor quality study showed 86.0% (95% CI 73.8, 93.0) sensitivity and 75.9% (95% CI 67.1, 83.0) specificity of chest CT scan in diagnosing COVID-19 in children. Thirty-nine observational studies describing chest CT scan in children with COVID-19 showed abnormal findings in 717 of 1028 study subjects. Common chest CT scan findings in this population include: 1) ground glass opacities, patchy shadows, and consolidation, 2) lower lobe involvement, and 3) unilateral lung lesions.
UNASSIGNED: Studies which investigate the accuracy of chest CT scan in the diagnosis of COVID-19 in children are limited by heterogeneous populations and small sample sizes. While chest CT scan findings such as patchy shadows, ground glass opacities, and consolidation are common in children with COVID-19, these may be similar to the imaging findings of other respiratory viral illnesses.

OBJECTIVE: This narrative review aims to present the concept of value in imaging and explore why we conduct low-value procedures, how to reduce this wasteful use, and what we could gain from reducing low-value imaging.
RESULTS: Imaging of low value to the patient contributes to thousands of metric tons of CO2 emissions, costing several billion US dollars annually. With a 20% reduction in low-value imaging, we would reduce the waste of resources related to 7.2 million procedures and, at the same time, reduce the risk of incidentalomas, overdiagnosis, and overtreatment and reduce wait times for patients in need of imaging services of high value. Multi-component initiatives targeting barriers in all levels of society and healthcare are needed to reduce low-value imaging. Radiographers are key actors in medical imaging and can make substantial contributions to this effort by, together with the radiologists, referrers, and managers, ensuring that all imaging procedures conducted are sustainable along four dimensions of sustainability: value, cost, risk, and environment.
CONCLUSIONS: Efforts to secure sustainable imaging considering the four crucial dimensions (value, cost, radiation, and environment) should be made at all levels of society and healthcare, from governmental management to the individual healthcare worker. Radiographers are vital in obtaining sustainability to ensure only sustainable imaging procedures are conducted.
CONCLUSIONS: When assessing the appropriateness of imaging procedures, we need to consider the environment, safety, effectiveness, and efficiency. To obtain this, we need a collective and coordinated effort locally, nationally, and internationally to deliver sustainable imaging services.

Metal-organic frameworks (MOFs) are emergent materials in diverse prospective biomedical uses, owing to their inherent features such as adjustable pore dimension and volume, well-defined active sites, high surface area, and hybrid structures. The multifunctionality and unique chemical and biological characteristics of MOFs allow them as ideal platforms for sensing numerous emergent biomolecules with real-time monitoring towards the point-of-care applications. This review objects to deliver key insights on the topical developments of MOFs for biomedical applications. The rational design, preparation of stable MOF architectures, chemical and biological properties, biocompatibility, enzyme-mimicking materials, fabrication of biosensor platforms, and the exploration in diagnostic and therapeutic systems are compiled. The state-of-the-art, major challenges, and the imminent perspectives to improve the progressions convoluted outside the proof-of-concept, especially for biosensor platforms, imaging, and photodynamic therapy in biomedical research are also described. The present review may excite the interdisciplinary studies at the juncture of MOFs and biomedicine.

With the enormous progress in the field of cardiovascular imaging in recent years, computed tomography (CT) has become readily available to phenotype atherosclerotic coronary artery disease. New analytical methods using artificial intelligence (AI) enable the analysis of complex phenotypic information of atherosclerotic plaques. In particular, deep learning-based approaches using convolutional neural networks (CNNs) facilitate tasks such as lesion detection, segmentation, and classification. New radiotranscriptomic techniques even capture underlying bio-histochemical processes through higher-order structural analysis of voxels on CT images. In the near future, the international large-scale Oxford Risk Factors And Non-invasive Imaging (ORFAN) study will provide a powerful platform for testing and validating prognostic AI-based models. The goal is the transition of these new approaches from research settings into a clinical workflow. In this review, we present an overview of existing AI-based techniques with focus on imaging biomarkers to determine the degree of coronary inflammation, coronary plaques, and the associated risk. Further, current limitations using AI-based approaches as well as the priorities to address these challenges will be discussed. This will pave the way for an AI-enabled risk assessment tool to detect vulnerable atherosclerotic plaques and to guide treatment strategies for patients.

BACKGROUND: Contrast-enhanced ultrasound (CEUS) is a cost-effective radiation-free diagnostic method that can be used for renal tumor postoperative visualization after ablative treatment.
OBJECTIVE: To assess CEUS diagnostic accuracy comparing with CT and MRI as a follow-up method in short-term and long-term postoperative periods after renal tumor ablation.
METHODS: A systematic review and meta-analysis were performed in Scopus and Medline databases using the query \"(kidney OR rena* OR RCC) AND (ablation OR RFA OR MWA OR cryo*) AND CEUS\". The endpoint of the study was the evaluation of the overall accuracy of CEUS.
RESULTS: Twelve trials were included in the review. With CT or MRI as a reference, for a short-term group (< 6 weeks after ablation) pooled sensitivity was 90.2%, I2 = 0%; pooled specificity was 99.3%, I2 = 0%; pooled NPV was 98.6%, I2 = 0%; pooled PPV was 94.6%, I2 = 0%; the AUC on the SROC curve was 0.971. For the long-term group (> 6 weeks after ablation), pooled sensitivity was 95.3%, I2 = 0%; pooled specificity was 97.6%, I2 = 0%; PPV was 74.2%, I2 = 4%; NPV was 99.4%, I2 = 5%; AUC = 0.93.
CONCLUSIONS: CEUS has high sensitivity and specificity in ruling out the presence of local recurrence after renal tumor ablation with a higher risk of false-positive results within follow-up > 6 weeks compared with that for CT or MRI. Further studies with a unified protocol and morphological control of local renal tumor recurrence after ablation are needed.

Glomus tumors (or paragangliomas) are rare, benign tumors of neuroendocrine origin that appear in tissues of paraganglionic origin. This clinical entity poses a significant treatment challenge due to its proximity to critical neurovascular structures, thus the potential of morbid functional damage caused by disease progression and/or treatment approach. While surgery remains the standard of care for such cases, there has been an increasing trend toward management with radiotherapy or close observation. Here, we present a case of a large and irregularly shaped glomus jugulotympanicum tumor that was treated with volumetric arc radiotherapy. Given the risk of cranial neuropathy with surgery, radiation was the preferred treatment modality. This case demonstrated the safety and efficacy of volumetric arc radiotherapy in the management of a large glomus tumor with a complex shape.