Diagnostic Imaging Research Articles

Acute mesenteric ischemia in covid-19 disease: A case report

This case report explores acute mesenteric ischemia (AMI) in COVID-19 patients, showcasing this as a significant vascular complication from the infection. We discuss two instances of COVID-19-associated AMI, validated through comprehensive imaging and lab tests. The first case is a 54-year-old male with pre-existing hypertension and diabetes who presented with severe abdominal pain and symptoms consistent with COVID-19. The second involves a 65-year-old female with a history of heart disease, similarly, displaying acute abdominal symptoms. Surgical exploration in both cases confirmed mesenteric arterial thrombosis, indicative of a hypercoagulable state induced by COVID-19. These findings emphasize the need for healthcare providers to consider gastrointestinal symptoms as potential indicators of severe COVID-19 complications. Early recognition and appropriate diagnostic imaging are crucial in managing these cases effectively, potentially reducing mortality. The paper highlights the broader systemic effects of COVID-19, stressing the importance of vigilance and rapid response to manage not only the primary respiratory symptoms but also the less common but equally critical vascular complications like AMI. This study contributes to a growing body of evidence that COVID-19 can cause severe systemic complications, necessitating a comprehensive approach to treatment and management.

Taxonomy of Acute Stroke: Imaging, Processing, and Treatment

Stroke management employs a variety of diagnostic imaging modalities, image processing and analysis methods, and treatment procedures. This work categorizes methods for stroke imaging, image processing and analysis, and treatment, and provides their taxonomies illustrated by a state-of-the-art review. Imaging plays a critical role in stroke management, and the most frequently employed modalities are computed tomography (CT) and magnetic resonance (MR). CT includes unenhanced non-contrast CT as the first-line diagnosis, CT angiography, and CT perfusion. MR is the most complete method to examine stroke patients. MR angiography is useful to evaluate the severity of artery stenosis, vascular occlusion, and collateral flow. Diffusion-weighted imaging is the gold standard for evaluating ischemia. MR perfusion-weighted imaging assesses the penumbra. The stroke image processing methods are divided into non-atlas/template-based and atlas/template-based. The non-atlas/template-based methods are subdivided into intensity and contrast transformations, local segmentation-related, anatomy-guided, global density-guided, and artificial intelligence/deep learning-based. The atlas/template-based methods are subdivided into intensity templates and atlases with three atlas types: anatomy atlases, vascular atlases, and lesion-derived atlases. The treatment procedures for arterial and venous strokes include intravenous and intraarterial thrombolysis and mechanical thrombectomy. This work captures the stateoftheart in stroke management summarized in the form of comprehensive and straightforward taxonomy diagrams. All three introduced taxonomies in diagnostic imaging, image processing and analysis, and treatment are widely illustrated and compared against other state-of-the-art classifications.

Malposition of Central Venous Catheter into Coronary Sinus throughout the Persistent Left Superior Vena Cava and Other Complications Related to Catheterization

This case concentrates on the persistent left superior vena cava (PLSVC), a rare vascular anomaly which contributes to central venous catheter (CVC) misplacement. A 72-year-old woman with renal insufficiency presented to the hospital with recurrent bleeding from her permanent CVC device placed in the right common jugular vein. An initial attempt to replace the device was unsuccessful, necessitating the placement of a secondary catheter in the left jugular vein. Shortly after the procedure, the patient developed swelling of the face and neck. Further diagnostic imaging, including a chest radiograph and computed tomography (CT), revealed CVC misplacement in the PLSVC and coronary sinus, thrombosis of the common jugular vein, and a posterior mediastinal hematoma. Conservative therapy of the mediastinal hematoma was implemented and proved effective in this case. A temporary CVC was inserted into the left femoral vein. Two months later, the catheter underwent further dysfunction and a decision was made to place a long-term permanent CVC via the right femoral vein. The patient is currently awaiting an arteriovenous fistula for dialysis use. This case emphasizes the importance of radiological techniques for CVC procedural placement, as well as the detection of congenital abnormalities. Providers regularly placing CVCs should have an in-depth knowledge of the possible complications and potential anatomical variations, especially as seen in high-risk patients.

Can the presence of SLAP-5 lesions be predicted by using the critical shoulder angle in traumatic anterior shoulder instability?

Although SLAP-5 lesions are associated with recurrent dislocations, their causes and pathomechanisms have not been fully elucidated. This study aimed to investigate the association between SLAP-5 lesions and scapular morphology in traumatic anterior shoulder instability (ASI). We hypothesized that there may be a relationship between SLAP-5 lesions and scapular morphology in traumatic ASI patients. The study included 74 patients with isolated Bankart lesions and 69 with SLAP-5 lesions who underwent arthroscopic labral repair for ASI. Critical shoulder angle (CSA) was measured on the roentgenograms, while glenoid inclination (GI) and glenoid version (GV) were measured on magnetic resonance imaging (MRI) by two observers in two separate sessions blinded to each other. Both groups were compared in terms of CSA, GI, and GV. The mean ages of Bankart and SLAP-5 patients were 28.4±9.1 and 27.9±7.7 (P=0.89), respectively; their mean CSA values were 33.1°±2.6° and 28.2°±2.4°, respectively (P<0.001). The ROC analysis's cut-off value was 30.5°, with 75.0% sensitivity and 76.7% specificity (AUC = 0.830). SLAP-5 lesions were more common on the dominant side than isolated Bankart lesions (P=0.021), but no difference was found between the groups in terms of GI and GV (P=0.334, P=0.081, respectively). In ASI, low CSA values appeared to be related to SLAP-5 lesions, and the cut-off value of CSA for SLAP lesion formation was 30.5° with 75.0% sensitivity and 76.7% specificity. Scapula morphology may be related to the SLAP-5 lesions, and CSA can be used as an additional parameter in provocative diagnostic tests and medical imaging techniques for the detection of SLAP lesions accompanying Bankart lesions. III retrospective case-control study.

Enhancing multi-class lung disease classification in chest x-ray images: A hybrid manta-ray foraging volcano eruption algorithm boosted multilayer perceptron neural network approach

ABSTRACT One of the most used diagnostic imaging techniques for identifying a variety of lung and bone-related conditions is the chest X-ray. Recent developments in deep learning have demonstrated several successful cases of illness diagnosis from chest X-rays. However, issues of stability and class imbalance still need to be resolved. Hence in this manuscript, multi-class lung disease classification in chest x-ray images using a hybrid manta-ray foraging volcano eruption algorithm boosted multilayer perceptron neural network approach is proposed (MPNN-Hyb-MRF-VEA). Initially, the input chest X-ray images are taken from the Covid-Chest X-ray dataset. Anisotropic diffusion Kuwahara filtering (ADKF) is used to enhance the quality of these images and lower noise. To capture significant discriminative features, the Term frequency-inverse document frequency (TF-IDF) based feature extraction method is utilized in this case. The Multilayer Perceptron Neural Network (MPNN) serves as the classification model for multi-class lung disorders classification as COVID-19, pneumonia, tuberculosis (TB), and normal. A Hybrid Manta-Ray Foraging and Volcano Eruption Algorithm (Hyb-MRF-VEA) is introduced to further optimize and fine-tune the MPNN’s parameters. The Python platform is used to accurately evaluate the proposed methodology. The performance of the proposed method provides 23.21%, 12.09%, and 5.66% higher accuracy compared with existing methods like NFM, SVM, and CNN respectively.

The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare

As artificial intelligence (AI) integrates within the intersecting domains of healthcare and computational biology, developing interpretable models tailored to medical contexts is met with significant challenges. Explainable AI (XAI) is vital for fostering trust and enabling effective use of AI in healthcare, particularly in image-based specialties such as pathology and radiology where adjunctive AI solutions for diagnostic image analysis are increasingly utilized. Overcoming these challenges necessitates interdisciplinary collaboration, essential for advancing XAI to enhance patient care. This commentary underscores the critical role of interdisciplinary conferences in promoting the necessary cross-disciplinary exchange for XAI innovation. A literature review was conducted to identify key challenges, best practices, and case studies related to interdisciplinary collaboration for XAI in healthcare. The distinctive contributions of specialized conferences in fostering dialogue, driving innovation, and influencing research directions were scrutinized. Best practices and recommendations for fostering collaboration, organizing conferences, and achieving targeted XAI solutions were adapted from the literature. By enabling crucial collaborative junctures that drive XAI progress, interdisciplinary conferences integrate diverse insights to produce new ideas, identify knowledge gaps, crystallize solutions, and spur long-term partnerships that generate high-impact research. Thoughtful structuring of these events, such as including sessions focused on theoretical foundations, real-world applications, and standardized evaluation, along with ample networking opportunities, is key to directing varied expertise toward overcoming core challenges. Successful collaborations depend on building mutual understanding and respect, clear communication, defined roles, and a shared commitment to the ethical development of robust, interpretable models. Specialized conferences are essential to shape the future of explainable AI and computational biology, contributing to improved patient outcomes and healthcare innovations. Recognizing the catalytic power of this collaborative model is key to accelerating the innovation and implementation of interpretable AI in medicine.

Radiomic profiles improve prognostication and reveal targets for therapy in cervical cancer.

Cervical cancer (CC) is a major global health problem with 570,000 new cases and 266,000 deaths annually. Prognosis is poor for advanced stage disease, and few effective treatments exist. Preoperative diagnostic imaging is common in high-income countries and MRI measured tumor size routinely guides treatment allocation of cervical cancer patients. Recently, the role of MRI radiomics has been recognized. However, its potential to independently predict survival and treatment response requires further clarification. This retrospective cohort study demonstrates how non-invasive, preoperative, MRI radiomic profiling may improve prognostication and tailoring of treatments and follow-ups for cervical cancer patients. By unsupervised clustering based on 293 radiomic features from 132 patients, we identify three distinct clusters comprising patients with significantly different risk profiles, also when adjusting for FIGO stage and age. By linking their radiomic profiles to genomic alterations, we identify putative treatment targets for the different patient clusters (e.g., immunotherapy, CDK4/6 and YAP-TEAD inhibitors and p53 pathway targeting treatments).

Application of TDABC in assessing the profitability of examinations and the level of idleness of computed tomography in the gynecological oncology sector

Gynecological malignancies represent one of the main mortality factors in women, with imaging exams being important tools for diagnosis, staging and surgical planning. Such exams are carried out at Diagnostic Imaging Centers (CDI) which, due to the use of sophisticated technology and qualified labor, are expensive and impact health systems. Given this context, this research aims to demonstrate how TDABC can be used to evaluate the profitability of exams and the levels of idleness that exist in the context of the computed tomography sector of the gynecological oncology unit. For this purpose, a methodology classifiable as qualitative and descriptive was used and the case study format was adopted, with data collection through documentary research, informal interviews to learn about the process and estimates of the execution time of the activities. The results showed that the tests carried out are deficient, as the cost of providing these services is higher than the prices paid by the Unified Health System (SUS), which resulted in a total loss of R$ -79,347.04 in the month. The levels of idleness of the activities involved were also determined, both in terms of inactive minutes and in monetary values. Therefore, it was concluded that the total idleness of the tomography sector surveyed reached R$ 102,932.81 and is equivalent to 41.62% on average for the activities covered (varying between 3.66% in the case of equipment and 81.59% in relation to nurses’ activity). Regarding the contributions made, it is worth noting that the information made available by TDABC can support actions aimed at reducing time between activities and optimizing the performance of the employees involved, in addition to demonstrating TDABC's adherence within the scope of entities that perform diagnostic imaging services. From the results obtained, it is concluded that it is essential to optimize processes to reduce exam time and increase productivity, as well as the need to readjust the values in the SUS table to avoid compromising investment of resources in other sectors of the hospital.

Electron density dual-energy CT can improve the detection of lumbar disc herniation with higher image quality than standard and virtual non-calcium images.

To compare the diagnostic performance and image quality of dual-energy computed tomography (DECT) with electron density (ED) image reconstruction with those of DECT with standard CT (SC) and virtual non-calcium (VNCa) image reconstructions, for diagnosing lumbar disc herniation (L-HIVD). A total of 59 patients (354 intervertebral discs from T12/L1 to L5/S1; mean age, 60 years; 30 women and 29 men) who underwent DECT with spectral reconstruction and 3-T MRI within 2 weeks were enrolled between March 2021 and February 2022. Four radiologists independently assessed three image sets of randomized ED, SC, and VNCa images to detect L-HIVD at 8-week intervals. The coefficient of variance (CV) and the Weber contrast of the ROIs in the normal and diseased disc to cerebrospinal fluid space (NCR-normal/-diseased, respectively) were calculated to compare the image qualities of the noiseless ED and other series. Overall, 129 L-HIVDs were noted on MRI. In the detection of L-HIVD, ED showed a higher AUC and sensitivity than SC and VNCa; 0.871 vs 0.807 vs 833 (p = 0.002) and 81% vs 70% vs 74% (p = 0.006 for SC), respectively. CV was much lower in all measurements of ED than those for SC and VNCa (p < 0.001). Furthermore, NCR-normal and NCR-diseased were the highest in ED (ED vs SC in NCR-normal and NCR-diseased, p = 0.001 and p = 0.004, respectively; ED vs VNCa in NCR-diseased, p = 0.044). Compared to SC and VNCa images, DECT with ED reconstruction can enhance the AUC and sensitivity of L-HIVD detection with a lower CV and higher NCR. To our knowledge, this is the first study to quantify the image quality of noiseless ED images. ED imaging may be helpful for detecting L-HIVD in patients who cannot undergo MRI. ED images have diagnostic potential, but relevant quantitative analyses of image quality are limited. ED images detect disc herniation, with a better coefficient of variance and normalized contrast ratio values. ED images could detect L-HIVD when MRI is not an option.

Altered Serum Proteins Suggest Inflammation, Fibrogenesis and Angiogenesis in Adult Patients with a Fontan Circulation

Previous omics research in patients with complex congenital heart disease and single-ventricle circulation (irrespective of the stage of palliative repair) revealed alterations in cardiac and systemic metabolism, inter alia abnormalities in energy metabolism, and inflammation, oxidative stress or endothelial dysfunction. We employed an affinity-proteomics approach focused on cell surface markers, cytokines, and chemokines in the serum of 20 adult Fontan patients with a good functioning systemic left ventricle, and we 20 matched controls to reveal any specific processes on a cellular level. Analysis of 349 proteins revealed 4 altered protein levels related to chronic inflammation, with elevated levels of syndecan-1 and glycophorin-A, as well as decreased levels of leukemia inhibitory factor and nerve growth factor-ß in Fontan patients compared to controls. All in all, this means that Fontan circulation carries specific physiological and metabolic instabilities, including chronic inflammation, oxidative stress imbalance, and consequently, possible damage to cell structure and alterations in translational pathways. A combination of proteomics-based biomarkers and the traditional biomarkers (uric acid, γGT, and cholesterol) performed best in classification (patient vs. control). A metabolism- and signaling-based approach may be helpful for a better understanding of Fontan (patho-)physiology. Syndecan-1, glycophorin-A, leukemia inhibitory factor, and nerve growth factor-ß, especially in combination with uric acid, γGT, and cholesterol, might be interesting candidate parameters to complement traditional diagnostic imaging tools and the determination of traditional biomarkers, yielding a better understanding of the development of comorbidities in Fontan patients, and they may play a future role in the identification of targets to mitigate inflammation and comorbidities in Fontan patients.

Abdominocentesis and intra-abdominal pressure measurement in small animals.

To provide a video tutorial detailing how to perform "blind" and ultrasound-guided abdominocentesis for diagnostic and therapeutic guidance, and to provide a brief demonstration of intra-abdominal pressure measurement (IAP). Any cat or dog with suspicion of free abdominal effusion or patients requiring measurement of IAP. Abdominocentesis should be performed when there is high suspicion for peritoneal effusion based on physical exam and/or diagnostic imaging. The 4-quadrant tap uses 20-gauge or larger needles placed blindly in ≥ 1 of the 4 quadrants of the abdomen to collect abdominal fluid. In contrast, ultrasound allows visualization of fluid in the abdomen prior to percutaneous insertion of a needle and syringe to collect fluid. Regardless of collection technique, fluid should have immediate cytologic analysis and later can be submitted for biochemical parameters, additional cellular analysis by a pathologist, and culture and sensitivity (in rare cases if indicated). Intravesicular bladder pressure measurement using a manometer-urinary catheter system approximates the IAP when there is concern for organ hypoperfusion and compartment syndrome. Abdominocentesis can be performed with and without the use of ultrasound guidance. Intravesicular bladder pressure measurement is used to diagnose and trend IAP values before and after treatments are performed. Abdominocentesis is a simple and safe technique that all small animal clinicians should be comfortable performing. Effusion sampling can guide further diagnostics and treatments. Measurement of IAP is simple and requires no specialized equipment.

Multi-objective optimization for vector quantization via genetic algorithm

The issue of image compression continues to be a subject of ongoing research within the domain of image processing, particularly in the context of medical applications. The quality of the decompressed image can vary depending on the accuracy of the compression technique, resulting in either fine or distorted details. Therefore, the diagnostic procedure performed by medical professionals is contingent upon the precision of the compression and decompression process. In addition, the compression of medical images serves to decrease the amount of storage required, thereby enabling faster transmission over computer networks through the reduction of their bit size. This paper proposes a hybrid mix of the discrete wavelet transform (DWT) technique and vector quantization (VQ) to improve the compression technique of medical images. The aim of the proposed compression technique is to preserve diagnostic image information while achieving a high compression ratio. First, noise in medical images is caused by salt pepper noise. At the same time, the edges of the images are maintained in sharpness and context. Then, a lossless compression method is applied to the wavelet coefficients of the subband with the lowest frequency, while the thresholding method was used to efficiently construct coefficients for high-frequency sub-bands. This process will produce a traditional VQ, which is estimated via the Genetic Algorithm (GA) with fuzzy clustering. While Arithmetic encoded theory was being utilized to quantize coefficients, the proposed compression technique was evaluated by dividing the image into two levels and three levels of sub-bands, respectively, in two different scenarios. Comparing the decompressed image to the filtered image by means of different evaluation metrics, the proposed method can enhance compression performance and strike a balance between compression ratio and image visual quality.

Diagnosis of pneumonia in paediatric age group by comparing two modalities chest x-ray versus ultrasonography at tertiary care hospital

: Up to 20 million cases of pneumonia in children ages 0 to 5 years require hospitalization each year, from total 150 million cases of pneumonia. The most common cause of death in children worldwide is pneumonia. Due to the general non-specificity of the signs and symptoms, clinical history and physical examination cannot reliably distinguish between the causes of respiratory cases. As a result, accurate diagnosis frequently requires medical imaging, but two-thirds of the world's population lack access to diagnostic imaging, which lead to increasing the consequences of respiratory illnesses. : To know the characteristic of pneumonia in x-ray and ultrasonography. To compare X-ray chest and USG for early diagnosis. : A Prospective observational study was conducted among 100 paediatric patients diagnosed with pneumonia and admitted in paediatric ward, at New Civil Hospital, Surat. : Out of total, 52.7% and 47.3% patients were Males and Females, respectively. 87.2% cases were fully immunized, while remaining were partially immunized. Sensitivity and specificity of chest X-ray is 83.4 % and 86.8 % respectively. Sensitivity and specificity of USG thorax is 96.8 % and 90.5 % respectively. Young children are at least four times more susceptible to radiation damage than adults.: In comparison to chest radiography, lung ultrasound has the potential advantages of being more sensitive and specific, radiation-free, subject to less regulatory constraints, relatively less expensive so it can be used in diagnosis in patients with pneumonia.

Value of vendor-agnostic deep learning image denoising in brain computed tomography: A multi-scanner study.

To evaluate the effect of a vendor-agnostic deep learning denoising (DLD) algorithm on diagnostic image quality of non-contrast cranial computed tomography (ncCT) across five CT scanners.This retrospective single-center study included ncCT data of 150 consecutive patients (30 for each of the five scanners) who had undergone routine imaging after minor head trauma. The images were reconstructed using filtered back projection (FBP) and a vendor-agnostic DLD method. Using a 4-point Likert scale, three readers performed a subjective evaluation assessing the following quality criteria: overall diagnostic image quality, image noise, gray matter-white matter differentiation (GM-WM), artifacts, sharpness, and diagnostic confidence. Objective analysis included evaluation of noise, contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), and an artifact index for the posterior fossa.In subjective image quality assessment, DLD showed constantly superior results compared to FBP in all categories and for all scanners (p<0.05) across all readers. The objective image quality analysis showed significant improvement in noise, SNR, and CNR as well as for the artifact index using DLD for all scanners (p<0.001).The vendor-agnostic deep learning denoising algorithm provided significantly superior results in the subjective as well as in the objective analysis of ncCT images of patients with minor head trauma concerning all parameters compared to the FBP reconstruction. This effect has been observed in all five included scanners. · Significant improvement of image quality for 5 scanners due to the vendor-agnostic DLD. · Subjects were patients with routine imaging after minor head trauma. · Reduction of artifacts in the posterior fossa due to the DLD. · Access to improved image quality even for older scanners from different vendors. · Kapper C, Müller L, Kronfeld A et al. Value of vendor-agnostic deep learning image denoising in brain computed tomography: A multi-scanner study. Fortschr Röntgenstr 2024; DOI 10.1055/a-2290-4781.

Assessing Regurgitation Severity, Adverse Remodeling, and Fibrosis with CMR in Primary Mitral Regurgitation.

This review offers an evidence-based analysis of established and emerging cardiovascular magnetic resonance (CMR) techniques used to assess the severity of primary mitral regurgitation (MR), identify adverse cardiac remodeling and its prognostic effect. The aim is to provide different insights regarding clinical decision-making and enhance the clinical outcomes of patients with MR. Cardiac remodeling and myocardial replacement fibrosis are observed frequently in the presence of substantial LV volume overload, particularly in cases with severe primary MR. CMR serves as a useful diagnostic imaging modality in assessing mitral regurgitation severity, early detection of cardiac remodeling, myocardial dysfunction, and myocardial fibrosis, enabling timely intervention before irreversible damage ensues. Incorporating myocardial remodeling in terms of left ventricular (LV) dilatation and myocardial fibrosis with quantitative MR severity assessment by CMR may assist in defining optimal timing of intervention.

Beyond the Neonate: A Delayed Presentation of Congenital Diaphragmatic Hernia in a 17-Year-Old

Congenital diaphragmatic hernia (CDH) is a rare anomaly resulting from incomplete closure of pleuroperitoneal canals during fetal development, often presenting with acute respiratory distress in neonates. This case report highlights a 17-year-old female with recurrent episodes of acute left upper quadrant (LUQ) pain and no history of trauma or dietary change. A computerized tomography (CT) scan taken during her second presentation to the emergency department led to a diagnosis of left-sided CDH. She later had a successful laparoscopic diaphragmatic repair surgery and has remained symptom-free for over a year. Late-presenting CDH indicates a rare subset of cases diagnosed after one month of age. Late presentations comprise 5–25% of cases and become increasingly rare with age. Unlike neonatal CDH, which is associated with several comorbidities, late presentations often manifest as a standalone anomaly. When the correct diagnosis is made, uncomplicated surgical repair yields excellent long-term outcomes. However, delayed and incorrect diagnoses can result in serious morbidity. Late-presenting CDH has diverse clinical presentations and can elude diagnostic imaging. As a result, there is a need for heightened clinical suspicion. This report aims to enhance awareness of late-presenting CDH and explore challenges to prompt, accurate diagnosis. Ultimately, this study implores clinicians to consider this condition in patients with unexplained respiratory or gastrointestinal symptoms.

CEUS in diagnosis of renal masses

Introduction and purpose Contrast enhanced ultrasound (CEUS) is a modern diagnostic method that uses ultrasound waves in combination with intravenous administration of a contrast agent. It enables obtaining high resolution and assessing microcirculation in real time, thanks to which the researcher is able to analyze the enhancement and its features, which may help in diagnosing a specific pathology. Contrast agents, similar to CT and MRI, show specific phases of enhancement after administration - arterial, venous, delayed. Their additional advantage is safety, especially for patients with impaired kidney and thyroid function, and causing fewer allergic reactions. The aim of this review is to present the CEUS examination technique and the latest reports in the field of diagnosis of renal lesions. Material and methods This review was prepared based on the literature available from recent years in the PubMed and Google Scholar scientific databases using the keywords: ultrasonography, contrast enhanced ultrasonography, kidney, renal masses. Results Studies show that CEUS can be an effective method for imaging both cystic and solid lesions in the kidney. When using a contrast agent, the lesions show characteristic features that can guide the investigator to the diagnosis. Moreover, in comparative analyses, CEUS achieved comparable or better results than other diagnostic imaging methods. Conclusions CEUS is a modern and promising diagnostic method that can successfully compete with CT and MRI. Moreover, the metabolism and pharmacokinetics of contrast agents and their safety mean that CEUS can be used for the diagnosis of unclear pathologies in elderly patients, as well as for the control and supervision of changes that require frequent imaging. Keywords: ultrasonography, contrast enhanced ultrasonography, kidneys, renal masses

McCleery Syndrome Caused by Pectoralis Minor Hypertrophy Treated with Multimodal Physical Therapy—A Case Report

McCleery Syndrome Caused by Pectoralis Minor Hypertrophy Treated with Multimodal Physical Therapy—A Case Report

Retroperitoneal Müllerian Cyst Found Incidentally During Total Laparoscopic Hysterectomy: Is There a Role for MRI in Pre-Operative Evaluation?

Retroperitoneal Müllerian Cyst Found Incidentally During Total Laparoscopic Hysterectomy: Is There a Role for MRI in Pre-Operative Evaluation?

Muscle injuries: the importance of high-resolution dynamic sonography in diagnostics, treatment and monitoring

Muscle injuries are common in football. Imaging diagnostics have amajor role in establishing adiagnosis. The main diagnostic procedures are MRI and ultrasound. Both diagnostics have advantages and disadvantages, which should be balanced against each other. The role of MRI as the gold standard is increasingly being replaced by high-resolution ultrasound techniques, and MRI imaging is not always useful. To detect complications in the early stages it is advised to perform regular ultrasound-imaging check-ups. The healing process can be monitored, and it offers additional options for ultrasound-guided interventions such as hematoma punctures and targeted infiltrations. However, ultrasound imaging is highly user dependent. Experienced operators can eliminate this disadvantage, which makes ultrasound asuperior imaging system in many areas, especially for dynamic examinations. Nevertheless, MRI imaging remains anecessary imaging method in certain areas.