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  • 1
    In: Diagnostics, MDPI AG, Vol. 12, No. 7 ( 2022-07-08), p. 1662-
    Abstract: Background: Interstitial lung disease (ILD) is a frequent complication of systemic sclerosis (SSc), and its early detection and treatment may prevent deterioration of lung function. Different vendors have recently made larger image matrices available as a post-processing option for computed tomography (CT), which could facilitate the diagnosis of SSc-ILD. Therefore, the objective of this study was to assess the effect of matrix size on lung image quality in patients with SSc by comparing a 1024-pixel matrix to a standard 512-pixel matrix and applying different reconstruction kernels. Methods: Lung scans of 50 patients (mean age 54 years, range 23–85 years) with SSc were reconstructed with these two different matrix sizes, after determining the most appropriate kernel in a first step. Four observers scored the images on a five-point Likert scale regarding image quality and detectability of clinically relevant findings. Results: Among the eight tested kernels, the Br59-kernel (sharp) reached the highest score (19.48 ± 3.99), although differences did not reach statistical significance. The 1024-pixel matrix scored higher than the 512-pixel matrix HRCT overall (p = 0.01) and in the subcategories sharpness (p 〈 0.01), depiction of bronchiole (p 〈 0.01) and overall image impression (p 〈 0.01), and lower for the detection of ground-glass opacities (GGO) (p = 0.04). No significant differences were found for detection of extent of reticulations/bronchiectasis/fibrosis (p = 0.50) and image noise (p = 0.09). Conclusions: Our results show that with the use of a sharp kernel, the 1024-pixel matrix HRCT, provides a slightly better subjective image quality in terms of assessing interstitial lung changes, whereby GGO are more visible on the 512-pixel matrix. However, it remains to be answered to what extent this is related to the improved representation of the smallest structures.
    Type of Medium: Online Resource
    ISSN: 2075-4418
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2662336-5
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  • 2
    In: European Radiology, Springer Science and Business Media LLC, Vol. 32, No. 6 ( 2022-06), p. 3903-3911
    Type of Medium: Online Resource
    ISSN: 1432-1084
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 1472718-3
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  • 3
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 7_suppl ( 2019-03-01), p. 527-527
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 7_suppl ( 2019-03-01), p. 527-527
    Abstract: 527 Background: About 50% of patients undergoing post-chemotherapy retroperitoneal lymph node dissection (pcRPLND) are overtreated due to missing markers or valid prediction scores prior surgery. The potential of radiomics and machine learning applied on computed tomography (CT) imaging to predict the presence of viable tumor or teratoma in retroperitoneal lymph node metastases from germ cell tumor (GCT) patients prior to pcRPLND has not been explored. Therefore, we applied radiomics and machine learning to CT images of GCT patients prior to pcRPLND. Methods: Metastasized GCT patients who were treated with chemotherapy and received a contrast-enhanced CT prior to pcRPLND possessing complete clinical data were included in the study. Only lymph nodes which were identified in the CT images and correlated with the pathological findings (benign: necrosis / fibrosis vs. viable: viable tumor/ teratoma) were included. Lymph nodes identified in the CT images, were semiautomatically segmented and 93 radiographic features were analyzed. A linear support vector machine (SVM) algorithm was applied to analyze reproducible radiomics features. Additionally, a continuous reduction of the features analyzed was performed using Random Forest algorithms, as well as consecutive correlation and receiver operating curve analyzes. Results: Forty-two patients fulfilled the inclusion criteria and were included in the study. Total in these patients 96 lymph nodes were segmented on CT. Histologically, 41 lymph nodes were classified as viable tumors and 55 as benign. To train the SVM, 67 lymph nodes were randomly selected. Of the 93 radiomic features analyzed, 51 features were reproducible. Applying the trained algorithm to the remaining 29 lymph nodes resulted in a classification accuracy of 82% with a diagnostic sensitivity of 81% and a specificity of 83%. After multistep feature reduction, the three most important predictors for viable tumor achieved a sensitivity of 66% and a specificity of 78% when combined in a multivariate model. Conclusions: The applied radiomics model, solely based on CT images achieved a good sensitivity and specificity in predicting viable metastases.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
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  • 4
    Online Resource
    Online Resource
    Georg Thieme Verlag KG ; 2020
    In:  RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren Vol. 192, No. 02 ( 2020-02), p. 150-162
    In: RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Georg Thieme Verlag KG, Vol. 192, No. 02 ( 2020-02), p. 150-162
    Abstract: Background Peripheral vascular anomalies represent a rare disease with an underlying congenital mesenchymal and angiogenetic disorder. Vascular anomalies are subdivided into vascular tumors and vascular malformations. Both entities include characteristic features and flow dynamics. Symptoms can occur in infancy and adulthood. Vascular anomalies may be accompanied by characteristic clinical findings which facilitate disease classification. The role of periinterventional imaging is to confirm the clinically suspected diagnosis, taking into account the extent and location of the vascular anomaly for the purpose of treatment planning. Method In accordance with the International Society for the Study of Vascular Anomalies (ISSVA), vascular anomalies are mainly categorized as slow-flow and fast-flow lesions. Based on the diagnosis and flow dynamics of the vascular anomaly, the recommended periinterventional imaging is described, ranging from ultrasonography and plain radiography to dedicated ultrafast CT and MRI protocols, percutaneous phlebography and transcatheter angiography. Each vascular anomaly requires dedicated imaging. Differentiation between slow-flow and fast-flow vascular anomalies facilitates selection of the appropriate imaging modality or a combination of diagnostic tools. Results Slow-flow congenital vascular anomalies mainly include venous and lymphatic or combined malformations. Ultrasound and MRI and especially MR-venography are essential for periinterventional imaging. Arteriovenous malformations are fast-flow vascular anomalies. They should be imaged with dedicated MR protocols, especially when extensive. CT with 4D perfusion imaging as well as time-resolved 3D MR-A allow multiplanar perfusion-based assessment of the multiple arterial inflow and venous drainage vessels of arterio-venous malformations. These imaging tools should be subject to intervention planning, as they can reduce procedure time significantly. Fast-flow vascular tumors like hemangiomas should be worked up with ultrasound, including color-coded duplex sonography, MRI and transcatheter angiography in case of a therapeutic approach. In combined malformation syndromes, radiological imaging has to be adapted according to the dominant underlying vessels and their flow dynamics. Conclusion Guide to evaluation of flow dynamics in peripheral vascular anomalies, involving vascular malformations and vascular tumors with the intention to facilitate selection of periinterventional imaging modalities and diagnostic and therapeutic approach to vascular anomalies. Key Points:  Citation Format
    Type of Medium: Online Resource
    ISSN: 1438-9029 , 1438-9010
    RVK:
    Language: English
    Publisher: Georg Thieme Verlag KG
    Publication Date: 2020
    detail.hit.zdb_id: 2031079-1
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  • 5
    In: RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Georg Thieme Verlag KG, Vol. 194, No. 08 ( 2022-08), p. 829-832
    Type of Medium: Online Resource
    ISSN: 1438-9029 , 1438-9010
    RVK:
    Language: English
    Publisher: Georg Thieme Verlag KG
    Publication Date: 2022
    detail.hit.zdb_id: 2031079-1
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  • 6
    In: RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Georg Thieme Verlag KG, Vol. 192, No. 01 ( 2020-01), p. e1-e1
    Type of Medium: Online Resource
    ISSN: 1438-9029 , 1438-9010
    RVK:
    Language: German
    Publisher: Georg Thieme Verlag KG
    Publication Date: 2020
    detail.hit.zdb_id: 2031079-1
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  • 7
    In: Acta Radiologica, SAGE Publications, Vol. 60, No. 2 ( 2019-02), p. 160-167
    Abstract: Advanced knowledge-based iterative model reconstructions (IMR) became recently available for routine computed tomography (CT). Using more realistic physical models it promises improved image quality and potential radiation dose reductions, both possibly beneficial for non-invasive assessment of coronary stents. Purpose To evaluate the influence of different IMR settings at different radiation doses on stent lumen visualization in comparison to filtered back projection (FBP) and first-generation (hybrid) iterative reconstruction (HIR). Material and Methods Ten coronary stents in a coronary phantom were examined at four different dose settings (120 kV/125 mAs, 120 kV/75 mAs, 100 kV/125 mAs, 100 kV/75 mAs). Images were reconstructed with stent-specific FBP and HIR kernels and with IMR using CardiacRoutine (CR) and CardiacSharp (CS) settings at three different iteration levels. Image quality was evaluated using established parameters: image noise; in-stent attenuation difference; and visible lumen diameter. Results Image noise was significantly lower in IMR than in corresponding HIR and FBP images. At lower radiation doses, image noise increased significantly except with IMR CR3 and IMR CS3. Visible lumen diameters were significantly larger with IMR CS than with FBP, HIR, and IMR CR. IMR CR showed the smallest attenuation difference, while attenuation was artificially decreased extensively with IMR CS. FBP and HIR showed moderately increased in-stent attenuations. No relevant influence of used radiation doses on visible lumen diameters or attenuation differences was found. Conclusion IMR CR reduces image noise significantly while offering comparable stent-specific image quality in comparison to FBP and HIR and therefore potentially facilitates stent lumen delineation. Utilization of IMR CS for stent evaluation seems unfavorable due to artificial image alterations.
    Type of Medium: Online Resource
    ISSN: 0284-1851 , 1600-0455
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2024579-8
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  • 8
    In: Insights into Imaging, Springer Science and Business Media LLC, Vol. 14, No. 1 ( 2023-04-28)
    Abstract: Clinical audit is an important quality improvement activity and has significant benefits for patients in terms of enhanced care, safety, experience and outcomes. Clinical audit in support of radiation protection is mandated within the European Council Basic Safety Standards Directive (BSSD), 2013/59/Euratom. The European Society of Radiology (ESR) has recognised clinical audit as an area of particular importance in the delivery of safe and effective health care. The ESR, alongside other European organisations and professional bodies, has developed a range of clinical audit-related initiatives to support European radiology departments in developing a clinical audit infrastructure and fulfilling their legal obligations. However, work by the European Commission, the ESR and other agencies has demonstrated a persisting variability in clinical audit uptake and implementation across Europe and a lack of awareness of the BSSD clinical audit requirements. In recognition of these findings, the European Commission supported the QuADRANT project, led by the ESR and in partnership with ESTRO (European Association of Radiotherapy and Oncology) and EANM (European Association of Nuclear Medicine). QuADRANT was a 30-month project which completed in Summer 2022, aiming to provide an overview of the status of European clinical audit and identifying barriers and challenges to clinical audit uptake and implementation. This paper summarises the current position of European radiological clinical audit and considers the barriers and challenges that exist. Reference is made to the QuADRANT project, and a range of potential solutions are suggested to enhance radiological clinical audit across Europe.
    Type of Medium: Online Resource
    ISSN: 1869-4101
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2543323-4
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  • 9
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2018
    In:  European Radiology Experimental Vol. 2, No. 1 ( 2018-12)
    In: European Radiology Experimental, Springer Science and Business Media LLC, Vol. 2, No. 1 ( 2018-12)
    Type of Medium: Online Resource
    ISSN: 2509-9280
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
    detail.hit.zdb_id: 2905812-0
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  • 10
    In: Investigative Radiology, Ovid Technologies (Wolters Kluwer Health), Vol. 55, No. 4 ( 2020-4), p. 217-225
    Abstract: Autosomal dominant polycystic kidney disease (ADPKD) is a chronic progressive disorder with a significant disease burden leading to end-stage renal disease in more than 75% of the affected individuals. Although prediction of disease progression is highly important, all currently available biomarkers—including height-adjusted total kidney volume (htTKV)—have important drawbacks in the everyday clinical setting. Thus, the purpose of this study was to evaluate T2 mapping as a source of easily obtainable and accurate biomarkers, which are needed for improved patient counseling and selection of targeted treatment options. Materials and Methods A total of 139 ADPKD patients from The German ADPKD Tolvaptan Treatment Registry and 10 healthy controls underwent magnetic resonance imaging on a clinical 1.5-T system including acquisition of a Gradient-Echo-Spin-Echo T2 mapping sequence. The ADPKD patients were divided into 3 groups according to kidney cyst fraction (0%–35%, 36%–70%, 〉 70%) as a surrogate marker for disease severity. The htTKV was calculated based on standard T2-weighted imaging. Mean T2 relaxation times of both kidneys (kidney-T2) as well as T2 relaxation times of the residual kidney parenchyma (parenchyma-T2) were measured on the T2 maps. Results Calculation of parenchyma-T2 was 6- to 10-fold faster than determination of htTKV and kidney-T2 (0.78 ± 0.14 vs 4.78 ± 1.17 minutes, P 〈 0.001; 0.78 ± 0.14 vs 7.59 ± 1.57 minutes, P 〈 0.001). Parenchyma-T2 showed a similarly strong correlation to cyst fraction ( r = 0.77, P 〈 0.001) as kidney-T2 ( r = 0.76, P 〈 0.001), the strongest correlation to the serum-derived biomarker copeptin ( r = 0.37, P 〈 0.001), and allowed for the most distinct separation of patient groups divided according to cyst fraction. In contrast, htTKV showed an only moderate correlation to cyst fraction ( r = 0.48, P 〈 0.001). These observations were even more evident when considering only patients with preserved kidney function. Conclusions The rapidly assessable parenchyma-T2 shows a strong association with disease severity early in disease and is superior to htTKV when it comes to correlation with renal cyst fraction.
    Type of Medium: Online Resource
    ISSN: 1536-0210 , 0020-9996
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2020
    detail.hit.zdb_id: 2041543-6
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