Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren最新文献

In an online survey conducted by the Gastrointestinal and Abdominal Imaging Working Group of the German Radiological Society (DRG), the current state regarding enteral contrast administration in computed tomography (CT) of the abdomen in Germany was established and critically evaluated. The results of the survey are intended to serve as a basis for expert recommendations on enteral contrast administration in abdominal CT.DRG members were invited to take part in the online survey by email, newsletter, and via the DRG online portal. The survey was available for 70 days. It comprised 61 questions on enteral contrast administration in various clinical scenarios, with an average operation approximately 10 to 15 minutes. The results were analyzed using descriptive statistical methods.1,001 radiologists completed the survey. Of the participants, 67% worked in a hospital and 33% in private practice or a medical care center. Furthermore, 52% of the participants were senior physicians or board-certified radiologists. Enteral contrast administration is being performed selectively for various indications, but with considerable differences in technique and regularity. A lack of substantial diagnostic gain, as well as time-related or organizational factors, were the main reasons cited against enteral contrast administration.The results of the survey demonstrate a heterogeneous, selective, and indication-specific implementation of enteral contrast administration. There are considerable differences regarding technical implementation and realization. There is a strong desire for generally applicable recommendations along with their integration in respective SOPs. · Enteral contrast administration in abdominal CT is being performed very heterogeneously.. · Guidelines lack specifications regarding enteral contrast administration.. · There is a strong desire for recommendations and their implementation in relevant SOPs.. · Stadelmann J, Grenacher L, Juchems MS et al. Enteral Contrast Administration in Abdominal Computed Tomography: Status Quo in Germany. Rofo 2025; DOI 10.1055/a-2594-7579.

CT-based fractional flow reserve (CT-FFR) is a promising noninvasive method for the functional assessment of coronary stenosis. It expands the diagnostic capabilities of coronary CT angiography (cCTA) by providing hemodynamic information and potentially reducing unnecessary invasive coronary angiography examinationsThis review summarizes current technological developments, study results, and clinical applications of CT-FFR. It also discusses the advantages and disadvantages of various software solutions, including artificial intelligence (AI)-based on-site analyses, and their potential integration into the clinical routine.Studies show that CT-FFR improves diagnostic accuracy compared to cCTA and can optimize patient management. Advances in artificial intelligence and new imaging techniques such as photon-counting CT could further refine CT-FFR and expand its applicability. Despite promising results, further research is needed regarding long-term validation, standardized workflows, and economic feasibility.CT-FFR is a promising complementary tool for assessing the hemodynamic relevance of coronary stenoses. CT-FFR is particularly helpful in complex, long-segment, or consecutive stenosis, because a purely anatomical visual examination is not always sufficient. The combination of technical innovations and AI-assisted image analysis could have the potential to transform noninvasive coronary diagnostics. · CT-FFR increases specificity and diagnostic accuracy compared to cCTA alone.. · Technological advances could further refine CT-FFR and expand its applicability.. · The increasing adoption and improved applicability of CT-FFR in routine clinical practice is promising.. · Kloth C, Brendel JM, Kübler J et al. CT-FFR: How a new technology could transform cardiovascular diagnostic imaging. Rofo 2025; DOI 10.1055/a-2697-5413.

Novel artificial intelligence tools have the potential to significantly enhance productivity in medicine, while also maintaining or even improving treatment quality. In this study, we aimed to evaluate the current capability of ChatGPT-4.0 to accurately interpret multimodal musculoskeletal tumor cases.We created 25 cases, each containing images from X-ray, computed tomography, magnetic resonance imaging, or scintigraphy. ChatGPT-4.0 was tasked with classifying each case using a six-option, two-choice question, where both a primary and a secondary diagnosis were allowed. For performance evaluation, human raters also assessed the same cases.When only the primary diagnosis was taken into account, the accuracy of human raters was greater than that of ChatGPT-4.0 by a factor of nearly 2 (87% vs. 44%). However, in a setting that also considered secondary diagnoses, the performance gap shrank substantially (accuracy: 94% vs. 71%). Power analysis relying on Cohen's w confirmed the adequacy of the sample set size (n: 25).The tested artificial intelligence tool demonstrated lower performance than human raters. Considering factors such as speed, constant availability, and potential future improvements, it appears plausible that artificial intelligence tools could serve as valuable assistance systems for doctors in future clinical settings. · ChatGPT-4.0 classifies musculoskeletal cases using multimodal imaging inputs.. · Human raters outperform AI in primary diagnosis accuracy by a factor of nearly two.. · Including secondary diagnoses improves AI performance and narrows the gap.. · AI demonstrates potential as an assistive tool in future radiological workflows.. · Power analysis confirms robustness of study findings with the current sample size.. · Bosbach WA, Schoeni L, Beisbart C et al. Evaluating the Diagnostic Accuracy of ChatGPT-4.0 for Classifying Multimodal Musculoskeletal Masses: A Comparative Study with Human Raters. Rofo 2025; DOI 10.1055/a-2594-7085.