[Patient-centered vs. employee-centered radiology : Does this pose a conflict?] / Patienten- vs. mitarbeiterzentrierte Radiologie : Birgt dies einen Konflikt?

BACKGROUND: Patient-centered radiology and employee-centered radiology are being increasingly discussed as an extension of the established structure- and process-oriented management perspective. Concerning potential conflicts, it is unclear if and how these approaches should best be implemented in a radiology department. OBJECTIVE: The aim of this narrative review is to identify and critically correlate underlying characteristics of patient-centered and employee-centered approaches including their similarities, conflicts, and synergies as applicable to the radiological work environment. MATERIALS AND METHODS: Based on a literature search using PubMed, Scopus, Web of Science, and Google Scholar, the current body of knowledge regarding patient- and employee-centered radiology is presented. RESULTS: Patient- and employee-centered radiology focus on the individual needs of patients and employees, respectively, and promise to improve patient satisfaction, healthcare outcomes, and organizational performance. Conflicts result from an increased organizational complexity and the concurrent utilization of limited resources, such as time, money, and staff. Overall, however, synergies outweigh the potential conflicts. CONCLUSIONS: Successful implementation of patient- and employee-centered approaches in radiology requires a human-centered leadership approach and an overarching strategy with the execution of specific interventions in the processes. We provide specific recommendations to this effect.

[Sustainability and climate protection : Implications on patient-centered care in radiology]. / Nachhaltigkeit und Klimaschutz : Auswirkungen auf die patientenzentrierte Versorgung in der Radiologie.

BACKGROUND: Sustainability and patient-centered radiology (PCR) include a multivariant, complex network of synergic and opportunistic elements. PCR is a subfactor of the social element, climate protection is part of the ecological element, and sustainable economics are part of the financial element. OBJECTIVES: We aimed to identify PCR-symbiotic and PCR-opposed elements of sustainability using literature research. This article will provide an overview of the core sustainability elements and innovative concepts for supporting PCR. MATERIALS AND METHODS: A digital literature search was carried out to identify scientific publications about sustainability and PCR via Medline. Results are provided as a narrative summary. RESULTS: In particular, the social component and parts of the ecological element of sustainability support PCR. Climate protection and a natural environment show a positive correlation with health and patient satisfaction. Patient contact improves the quality of the diagnostic report and promotes satisfaction of patients and radiologists. However, increasing economization is often conditionally compatible with the social core element of sustainability and especially with PCR. Digital tools can ease communication and improve reports in times of increasing workload. CONCLUSION: Socially and environmentally sustainable radiology supports the well-being of both employees and patients. Innovative concepts are necessary to balance the ecological elements of sustainability with employees' and patients' interests.

Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study.

In this work, we propose a processing pipeline for the extraction and identification of meaningful radiomics biomarkers in skeletal muscle tissue as displayed using Dixon-weighted MRI. Diverse and robust radiomics features can be identified that may be of aid in the accurate quantification e.g. varying degrees of sarcopenia in respective muscles of large cohorts. As such, the approach comprises the texture feature extraction from raw data based on well established approaches, such as a nnU-Net neural network and the Pyradiomics toolbox, a subsequent selection according to adequate conditions for the muscle tissue of the general population, and an importance-based ranking to further narrow the amount of meaningful features with respect to auxiliary targets. The performance was investigated with respect to the included auxiliary targets, namely age, body mass index (BMI), and fat fraction (FF). Four skeletal muscles with different fiber architecture were included: the mm. glutaei, m. psoas, as well as the extensors and adductors of the thigh. The selection allowed for a reduction from 1015 available texture features to 65 for age, 53 for BMI, and 36 for FF from the available fat/water contrast images considering all muscles jointly. Further, the dependence of the importance rankings calculated for the auxiliary targets on validation sets (in a cross-validation scheme) was investigated by boxplots. In addition, significant differences between subgroups of respective auxiliary targets as well as between both sexes were shown to be present within the ten lowest ranked features by means of Kruskal-Wallis H-tests and Mann-Whitney U-tests. The prediction performance for the selected features and the ranking scheme were verified on validation sets by a random forest based multi-class classification, with strong area under the curve (AUC) values of the receiver operator characteristic (ROC) of 73.03 ± 0.70 % and 73.63 ± 0.70 % for the water and fat images in age, 80.68 ± 0.30 % and 88.03 ± 0.89 % in BMI, as well as 98.36 ± 0.03 % and 98.52 ± 0.09 % in FF.

Sustainability and Climate Protection in Radiology - An Overview. / Nachhaltigkeit und Klimaschutz in der Radiologie ­ Ein Überblick.

BACKGROUND: Sustainability is becoming increasingly important in radiology. Besides climate protection - economic, ecological, and social aspects are integral elements of sustainability. An overview of the scientific background of the sustainability and environmental impact of radiology as well as possibilities for future concepts for more sustainable diagnostic and interventional radiology are presented below.The three elements of sustainability:1. EcologyWith an annually increasing number of tomographic images, Germany is in one of the leading positions worldwide in a per capita comparison. The energy consumption of an MRI system is comparable to 26 four-person households annually. CT and MRI together make a significant contribution to the overall energy consumption of a hospital. In particular, the energy consumption in the idle or inactive state is responsible for a relevant proportion.2. EconomyA critical assessment of the indications for radiological imaging is important not only because of radiation protection, but also in terms of sustainability and "value-based radiology". As part of the "Choosing Wisely" initiative, a total of 600 recommendations for avoiding unnecessary examinations were compiled from various medical societies, including specific indications in radiological diagnostics.3. Social SustainabilityThe alignment of radiology to the needs of patients and referring physicians is a core aspect of the social component of sustainability. Likewise, ensuring employee loyalty by supporting and maintaining motivation, well-being, and job satisfaction is an essential aspect of social sustainability. In addition, sustainable concepts are of relevance in teaching and research, such as the educational curriculum for residents in radiology, RADUCATION or the recommendations of the International Committee of Medical Journal Editors. KEY POINTS: · Sustainability comprises three pillars: economy, ecology and the social component.. · Radiologies have a high optimization potential due to a significant demand of these resources.. · A dialogue between medicine, politics and industry is necessary for a sustainable radiology.. · The discourse, knowledge transfer and public communication of recommendations are part of the sustainability network of the German Roentgen Society (DRG).. CITATION FORMAT: · Palm V, Heye T, Molwitz I et al. Sustainability and Climate Protection in Radiology - An Overview. Fortschr Röntgenstr 2023; 195: 981 - 988.

Asynchronous calibration of quantitative computed tomography bone mineral density assessment for opportunistic osteoporosis screening: phantom-based validation and parameter influence evaluation.

Asynchronous calibration could allow opportunistic screening based on routine CT for early osteoporosis detection. In this phantom study, a bone mineral density (BMD) calibration phantom and multi-energy CT (MECT) phantom were imaged on eight different CT scanners with multiple tube voltages (80-150 kVp) and image reconstruction settings (e.g. soft/hard kernel). Reference values for asynchronous BMD estimation were calculated from the BMD-phantom and validated with six calcium composite inserts of the MECT-phantom with known ground truth. Relative errors/changes in estimated BMD were calculated and investigated for influence of tube voltage, CT scanner and reconstruction setting. Reference values for 282 acquisitions were determined, resulting in an average relative error between calculated BMD and ground truth of - 9.2% ± 14.0% with a strong correlation (R2 = 0.99; p < 0.0001). Tube voltage and CT scanner had a significant effect on calculated BMD (p < 0.0001), with relative differences in BMD of 3.8% ± 28.2% when adapting reference values for tube voltage, - 5.6% ± 9.2% for CT scanner and 0.2% ± 0.2% for reconstruction setting, respectively. Differences in BMD were small when using reference values from a different CT scanner of the same model (0.0% ± 1.4%). Asynchronous phantom-based calibration is feasible for opportunistic BMD assessment based on CT images with reference values adapted for tube voltage and CT scanner model.

AI-Supported Comprehensive Detection and Quantification of Biomarkers of Subclinical Widespread Diseases at Chest CT for Preventive Medicine.

Automated image analysis plays an increasing role in radiology in detecting and quantifying image features outside of the perception of human eyes. Common AI-based approaches address a single medical problem, although patients often present with multiple interacting, frequently subclinical medical conditions. A holistic imaging diagnostics tool based on artificial intelligence (AI) has the potential of providing an overview of multi-system comorbidities within a single workflow. An interdisciplinary, multicentric team of medical experts and computer scientists designed a pipeline, comprising AI-based tools for the automated detection, quantification and characterization of the most common pulmonary, metabolic, cardiovascular and musculoskeletal comorbidities in chest computed tomography (CT). To provide a comprehensive evaluation of each patient, a multidimensional workflow was established with algorithms operating synchronously on a decentralized Joined Imaging Platform (JIP). The results of each patient are transferred to a dedicated database and summarized as a structured report with reference to available reference values and annotated sample images of detected pathologies. Hence, this tool allows for the comprehensive, large-scale analysis of imaging-biomarkers of comorbidities in chest CT, first in science and then in clinical routine. Moreover, this tool accommodates the quantitative analysis and classification of each pathology, providing integral diagnostic and prognostic value, and subsequently leading to improved preventive patient care and further possibilities for future studies.

Acute Pulmonary Embolism: Imaging Techniques, Findings, Endovascular Treatment and Differential Diagnoses.

BACKGROUND: Acute thrombotic pulmonary embolism (PE) is a common and potentially fatal event with imaging playing a pivotal role in the diagnosis and management of these patients. METHOD: This review discusses imaging techniques, diagnostic algorithms, imaging findings and endovascular treatment of acute thrombotic PE, and illustrates important differential diagnoses relating to the spectrum of acute non-thrombotic PE and non-embolic pulmonary artery disease. The review emphasizes information relevant for everyday radiological practice and highlights recent advances that can be readily applied in the clinical routine. RESULTS/CONCLUSION: Computed tomography pulmonary angiography (CTPA) is the current reference standard for the diagnosis of acute PE. Ventilation and perfusion (VQ) scanning or - in centers with adequate expertise - magnetic resonance imaging (MRI) is indicated in pregnant or young patients and patients with contraindications to iodinated contrast. Invasive angiography is reserved for patients with intended endovascular treatment. Artifacts, acute non-thrombotic PE, chronic PE and non-embolic pulmonary artery diseases should always be considered as differential diagnoses. KEY POINTS: · CTPA is the reference standard for the diagnosis of acute PE.. · MRI for acute PE should only be performed in centers with adequate expertise.. · Invasive angiography is reserved for patients with intended endovascular treatment.. · Artifacts and non-embolic pulmonary artery diseases can mimic acute pulmonary thromboembolism.. · Non-thrombotic and chronic PE are also differential diagnoses of acute pulmonary thromboembolism.. CITATION FORMAT: · Palm V, Rengier F, Rajiah P et al. Acute Pulmonary Embolism: Imaging Techniques, Findings, Endovascular Treatment and Differential Diagnoses. Fortschr Röntgenstr 2020; 192: 38 - 49.

Gadoxetic Acid-Enhanced Hepatobiliary-Phase Magnetic Resonance Imaging for Delineation of Focal Nodular Hyperplasia: Superiority of High-Flip-Angle Imaging.

OBJECTIVE: The aim of this study was to investigate whether hepatobiliary-phase (HBP) flip-angle (FA) increase to 25° improves conspicuity of focal nodular hyperplasia (FNH) and enables HBP delay reduction. METHODS: This was a retrospective study of 23 patients with 46 FNHs. In each patient, HBP was performed with reduced-delay high FA (early/high), standard-delay high FA (late/high), and standard-delay standard FA (standard). Relative enhancement of liver and FNH periphery, FNH periphery-to-liver contrast ratio, and FNH periphery-to-central scar contrast ratio were compared between each HBP. RESULTS: Early/high, late/high, and standard HBPs were performed after 13.00 ± 2.12, 19.12 ± 3.10, and 19.68 ± 3.22 minutes, respectively. Liver and FNH periphery relative enhancement, FNH periphery-to-liver contrast ratio, and FNH periphery-to-central scar contrast ratio were higher for early/high and late/high than for standard HBP (P < 0.001 to P = 0.0048). CONCLUSIONS: Increasing FA to 25° improves delineation of FNHs in HBP. Combining FA increase with delay reduction is superior to standard HBP and is sufficient for FNH characterization.

Imaging features of fibrolamellar hepatocellular carcinoma in gadoxetic acid-enhanced MRI.

BACKGROUND: Fibrolamellar hepatocellular carcinoma (FLC) is a rare malignancy occurring in young patients without cirrhosis. Objectives of our study were to analyze contrast material uptake in hepatobiliary phase imaging (HBP) in gadoxetic acid-enhanced liver MRI in patients with FLC and to characterize imaging features in sequence techniques other than HBP. METHODS: In this retrospective study on histology-proven FLC, contrast material uptake in HBP was quantitatively assessed by calculating the corrected FLC enhancement index (CEI) using mean signal intensities of FLC and lumbar muscle on pre-contrast imaging and HBP, respectively. Moreover, enhancement patterns in dynamic contrast-enhanced MRI and relative signal intensities compared with background liver parenchyma were determined by two radiologists in consensus for HBP, diffusion-weighted imaging using high b-values (DWI), and T2 and T1 weighted pre-contrast imaging. RESULTS: In 6 of 13 patients with FLC gadoxetic acid-enhanced liver MRI was available. The CEI suggested presence of HBP contrast material uptake in all FLCs. A mean CEI of 1.35 indicated FLC signal increase of 35% in HBP compared with pre-contrast imaging. All FLCs were hypointense in HBP compared with background liver parenchyma. Three of 6 FLCs had arterial hyperenhancement and venous wash-out. In DWI and T2 weighted imaging, 5 of 6 FLCs were hyperintense. In T1 weighted imaging, 5 of 6 FLCs were hypointense. CONCLUSION: Hepatobiliary uptake of gadoxetic acid was quantitatively measurable in all FLCs investigated in our study. The observation of hypointensity of FLCs in HBP compared with background liver parenchyma emphasizes the role of gadoxetic acid-enhanced liver MRI for non-invasive diagnosis of FLC and its importance in the diagnostic work-up of indeterminate liver lesions.