To determine patients’ knowledge about ionising radiation used in diagnostic imaging and whether they were adequately informed about the procedure they were referred to. A cross-sectional study was conducted at the University Hospital Merkur, Zagreb, Croatia during 2019–20. A questionnaire with 14 questions was given to patients in waiting rooms for imaging examinations. Statistical analysis was conducted using the standard software package. Chi-square with Yates correction was used to determine differences in patients’ answers between those who received the explanation about the procedure and those who did not. The differences depending on the educational level were also evaluated. The survey was completed by 374 participants (200 women, 174 men) with a mean age of 55.45 ± 15.92 y. Of all patients, 8.63% had no formal education or only finished elementary school, 52.83% had finished high school and 38.55% had a college or a higher degree. The referring physicians informed 63.66% of participants about the radiological exam they were being referred to, and 226 thought that the given explanation was sufficient. Most patients knew that some radiological procedures use ionising radiation. Only 47.37% of respondents correctly identified MRI as a non-ionising method, whereas 37.40% of participants recognised chest X-ray as the modality with the lowest radiation dose. Higher-educated patients had better knowledge of radiological procedures and the potential risks. The study demonstrated suboptimal patients’ knowledge about ionising radiation, and additional efforts in their education are needed.

Primary bone lymphoma of the scapula is a rare tumor that usually causes local pain. The presented patient suffered for two years from paresthesia, tingling, numbness, and edema of the little and ring fingers. The 45-year-old man underwent several radiological and neurological assessments of the palm, elbow, and neck before radiographs revealed a tumor of the left shoulder. Once diffuse large B-cell lymphoma was confirmed, immunochemotherapy with rituximab, cyclophosphamide, doxorubicin, vincristine, and methylprednisolone (R-CHOP) started. The treatment was accompanied by antiviral treatment with lamivudine due to positive hepatitis B virus serology, specifically anti-HBs (hepatitis B surface) antibody, total anti-HBc (hepatitis B core) antibody, and anti-HBe (hepatitis B e antigen) antibody, together with bisphosphonate treatment for the prevention of bone resorption. Once immunochemotherapy was finished, the treatment was supplemented by radiotherapy of the shoulder. After more than three years of remission, the patient had an ischemic stroke manifesting with right-sided hemiparesis. Following physical therapy, the patient is currently in the process of evaluation for thrombophilia, as well as further cardiac assessment due to the positive transcranial Doppler bubble test, setting high suspicion for the presence of patent foramen ovale.

Musculoskeletal image-guided interventions are integral to modern radiologic practices, offering precise, minimally invasive solutions for a range of diagnostic and therapeutic needs. Despite their clinical utility, these interventions are often limited by operator dependency, procedural variability, and a lack of workflow standardization. As artificial intelligence technologies continue to evolve, they offer a significant opportunity to enhance the precision, safety, and efficiency of musculoskeletal interventions. This review explores the current and emerging applications of artificial intelligence across the procedural continuum of musculoskeletal image-guided interventions. We examine its role in preprocedural planning—including lesion detection, segmentation, and personalized risk stratification—through to intraprocedural guidance with artificial intelligence–assisted navigation, needle trajectory optimization, and robotics, and finally postprocedural evaluation using radiomics, complication prediction, and natural language processing for structured reporting. We address the critical challenges that limit clinical translation, including the need for external validation, generalizability across diverse patient populations, regulatory clearance, along with ethical considerations such as bias, data governance, and equitable access. We highlight the absence of multicenter trials and open-access datasets tailored to interventional practice. Particular attention is given to the role of artificial intelligence as a decision-support tool rather than a replacement for operator expertise, with emphasis on its potential to enhance training, standardize practice, and expand access to high-quality care. By highlighting both the practical applications and limitations of current technologies and with health care increasingly shaped by digital innovation, radiologists must engage critically with artificial intelligence technologies to ensure safe, effective, and inclusive deployment. This review synthesizes the current state of artificial intelligence in musculoskeletal interventions and outlines future directions, including the need for interventional artificial intelligence registries, foundation model development, and collaborative translational research. By focusing on practical integration, we aim to support radiologists in leveraging artificial intelligence to enhance procedural accuracy, consistency, and patient outcomes.

Osteochondritis dissecans (OCD) of the elbow mainly occurs in overhead athletes (OHAs). This narrative review aimed to comprehensively analyze the epidemiological data, etiological factors, clinical and imaging features, treatment options, and outcomes of OHAs with the diagnosis of elbow OCD. A literature search was performed in PubMed/MEDLINE, Scopus, and Web of Science. Individuals with elbow OCD were usually 10–17 years of age with incidence and prevalence varying between studies, depending on the sport activity of the patients. The etiology of OCD lesions is multifactorial, and the main causes are believed to be repetitive trauma, the biomechanical disproportion of the articular surfaces, poor capitellar vascular supply, and inflammatory and genetic factors. Athletes usually presented with elbow pain and mechanical symptoms. The mainstay for the diagnosis of elbow OCD is MRI. The treatment of elbow OCD lesions should be conservative in cases of stable lesions, while various types of surgical treatment are suggested in unstable lesions, depending mainly on the size and localization of the lesion. The awareness of medical practitioners and the timely diagnosis of OCD lesions in OHAs are key to favorable outcomes.

Transient osteoporosis (TO) is a self-limiting bone disorder with a benign clinical course and unknown etiology, typically manifesting in the third trimester of pregnancy. There are only a few documented cases of TO in pregnant women involving the knee joint. We report a 38-year-old female patient in the third trimester of pregnancy who presented with an 8-week history of progressive worsening of the right knee pain. Clinical and magnetic resonance imaging findings were suggestive of TO with complete resolution of symptoms and imaging findings within several months following the onset of the symptoms. Clinicians need to include TO in their differential diagnosis when treating pregnant women with knee pain.

Background and Clinical Significance: The deer horn sign is an ultrasonographic (US) finding suggesting congestive hepatopathy. It is composed of dilated intrahepatic inferior vena cava (IVC) representing the deer’s head and dilated hepatic veins (HVs) representing its horns. Case Presentation: A 72-year-old female patient presented with a one-week history of dull pain in the right upper abdominal quadrant. Her medical records showed that she had previously experienced cardiovascular problems; however, she is without any recent heart failure symptoms. The transabdominal US demonstrated the deer horn sign and hemodynamic changes in the hepatic venous drainage, which is suggestive of congestive hepatopathy. An echocardiogram revealed congestive heart failure with a preserved ejection fraction, mild-to-moderate mitral and tricuspid valve insufficiency, and severe aortic valve stenosis with mild aortic valve insufficiency. Conclusions: The definite diagnosis of heart failure is based on clinical and laboratory features; however, this sign may be helpful for diagnosis in emergency settings.