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  1. Book ; Thesis: Targeting redox homeostasis in rhabdomyosarcoma: GSH-depleting agents augment the induction of cell death caused by Auranofin and RSL3 in rhabdomysarcoma cells

    Grünewald, Leon David

    2019  

    Institution Goethe-Universität Frankfurt am Main
    Author's details vorgelegt von Leon David Grünewald aus Frankfurt am Main
    Keywords Apoptosis ; Drug therapy ; Homeostasis ; Sarcoma
    Language English
    Size 114 Seiten, Illustrationen, 21 cm
    Publisher Johann-Wolfgang-von Goethe-Universität
    Publishing place Frankfurt am Main
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Johann Wolfgang Goethe-Universität Frankfurt am Main, 2020
    Note Zusammenfassung auf Deutsch und Englisch
    HBZ-ID HT020607682
    Database Catalogue ZB MED Medicine, Health

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  2. Article ; Online: Incident fractures of the distal radius: Dual-energy CT-derived metrics for opportunistic risk stratification.

    Gruenewald, Leon D / Booz, Christian / Gotta, Jennifer / Reschke, Philipp / Martin, Simon S / Mahmoudi, Scherwin / Bernatz, Simon / Eichler, Katrin / D'Angelo, Tommaso / Chernyak, Victoria / Sommer, Christof M / Vogl, Thomas J / Koch, Vitali

    European journal of radiology

    2024  Volume 171, Page(s) 111283

    Abstract: Background: Dual-energy CT (DECT)-derived bone mineral density (BMD) of the distal radius and other CT-derived metrics related to bone health have been suggested for opportunistic osteoporosis screening and risk evaluation for sustaining distal radius ... ...

    Abstract Background: Dual-energy CT (DECT)-derived bone mineral density (BMD) of the distal radius and other CT-derived metrics related to bone health have been suggested for opportunistic osteoporosis screening and risk evaluation for sustaining distal radius fractures (DRFs).
    Methods: The distal radius of patients who underwent DECT between 01/2016 and 08/2021 was retrospectively analyzed. Cortical Hounsfield Unit (HU), trabecular HU, cortical thickness, and DECT-based BMD were acquired from a non-fractured, metaphyseal area in all examinations. Receiver-operating characteristic (ROC) analysis was conducted to determine the area under the curve (AUC) values for predicting DRFs based on DECT-derived BMD, HU values, and cortical thickness. Logistic regression models were then employed to assess the associations of these parameters with the occurrence of DRFs.
    Results: In this study, 263 patients (median age: 52 years; interquartile range: 36-64; 132 women; 192 fractures) were included. ROC curve analysis revealed a higher area under the curve (AUC) value for DECT-derived BMD compared to cortical HU, trabecular HU, and cortical thickness (0.91 vs. 0.61, 0.64, and 0.69, respectively; p <.001). Logistic regression models confirmed the association between lower DECT-derived BMD and the occurrence of DRFs (Odds Ratio, 0.83; p <.001); however, no influence was observed for cortical HU, trabecular HU, or cortical thickness.
    Conclusions: DECT can be used to assess the BMD of the distal radius without dedicated equipment such as calibration phantoms to increase the detection rates of osteoporosis and stratify the individual risk to sustain DRFs. In contrast, assessing HU-based values and cortical thickness does not provide clinical benefit.
    MeSH term(s) Humans ; Female ; Middle Aged ; Radius ; Absorptiometry, Photon ; Retrospective Studies ; Fractures, Bone ; Osteoporosis/diagnostic imaging ; Bone Density ; Tomography, X-Ray Computed ; Risk Assessment
    Language English
    Publishing date 2024-01-03
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 138815-0
    ISSN 1872-7727 ; 0720-048X
    ISSN (online) 1872-7727
    ISSN 0720-048X
    DOI 10.1016/j.ejrad.2023.111283
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Dual-Energy CT Material Decomposition: The Value in the Detection of Lymph Node Metastasis from Breast Cancer.

    Yel, Ibrahim / D'Angelo, Tommaso / Gruenewald, Leon D / Koch, Vitali / Golbach, Rejane / Mahmoudi, Scherwin / Ascenti, Giorgio / Blandino, Alfredo / Vogl, Thomas J / Booz, Christian / Bucolo, Giuseppe M

    Diagnostics (Basel, Switzerland)

    2024  Volume 14, Issue 5

    Abstract: Purpose: To evaluate the diagnostic performance of a dual-energy computed tomography (DECT)-based material decomposition algorithm for iodine quantification and fat fraction analysis to detect lymph node metastases in breast cancer patients.: ... ...

    Abstract Purpose: To evaluate the diagnostic performance of a dual-energy computed tomography (DECT)-based material decomposition algorithm for iodine quantification and fat fraction analysis to detect lymph node metastases in breast cancer patients.
    Materials and methods: 30 female patients (mean age, 63.12 ± 14.2 years) diagnosed with breast cancer who underwent pre-operative chest DECT were included. To establish a reference standard, the study correlated histologic repots after lymphadenectomy or confirming metastasis in previous/follow-up examinations. Iodine concentration and fat fraction were determined through region-of-interest measurements on venous DECT iodine maps. Receiver operating characteristic curve analysis was conducted to identify the optimal threshold for differentiating between metastatic and non-metastatic lymph nodes.
    Results: A total of 168 lymph nodes were evaluated, divided into axillary (metastatic: 46, normal: 101) and intramammary (metastatic: 10, normal: 11). DECT-based fat fraction values exhibited significant differences between metastatic (9.56 ± 6.20%) and non-metastatic lymph nodes (41.52 ± 19.97%) (
    Conclusions: DECT fat fraction analysis emerges as a promising method for identifying metastatic lymph nodes, overcoming the morpho-volumetric limitations of conventional CT regarding lymph node assessment. This innovative approach holds potential for improving pre-operative lymph node evaluation in breast cancer patients, offering enhanced diagnostic accuracy.
    Language English
    Publishing date 2024-02-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics14050466
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Value of Dual-Energy CT-Derived Metrics for the Prediction of Bone Non-union in Distal Radius Fractures.

    Reschke, Philipp / Gotta, Jennifer / Stahl, Adrian / Koch, Vitali / Mader, Christoph / Martin, Simon S / Scholtz, Jan-Erik / Booz, Christian / Yel, Ibrahim / Hescheler, Daniel A / Gruber-Rouh, Tatjana / Eichler, Katrin / Vogl, Thomas J / Gruenewald, Leon D

    Academic radiology

    2024  

    Abstract: Rationale and objectives: Bone non-union is a serious complication of distal radius fractures (DRF) that can result in functional limitations and persistent pain. However, no accepted method has been established to identify patients at risk of ... ...

    Abstract Rationale and objectives: Bone non-union is a serious complication of distal radius fractures (DRF) that can result in functional limitations and persistent pain. However, no accepted method has been established to identify patients at risk of developing bone non-union yet. This study aimed to compare various CT-derived metrics for bone mineral density (BMD) assessment to identify predictive values for the development of bone non-union.
    Materials and methods: CT images of 192 patients with DRFs who underwent unenhanced dual-energy CT (DECT) of the distal radius between 03/2016 and 12/2020 were retrospectively identified. Available follow-up imaging and medical health records were evaluated to determine the occurrence of bone non-union. DECT-based BMD, trabecular Hounsfield unit (HU), cortical HU and cortical thickness ratio were measured in normalized non-fractured segments of the distal radius.
    Results: Patients who developed bone non-union were significantly older (median age 72 years vs. 54 years) and had a significantly lower DECT-based BMD (median 68.1 mg/cm
    Conclusion: DECT-derived metrics can accurately predict bone non-union in patients who sustained DRF. The diagnostic performance of DECT-based BMD is superior to that of HU-based metrics and cortical thickness ratio.
    Language English
    Publishing date 2024-03-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1355509-1
    ISSN 1878-4046 ; 1076-6332
    ISSN (online) 1878-4046
    ISSN 1076-6332
    DOI 10.1016/j.acra.2024.01.041
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Advancing Differentiation of Hepatic Metastases in Malignant Melanoma through Dual-Energy Computed Tomography Rho/Z Maps.

    Yel, Ibrahim / Koch, Vitali / Gruenewald, Leon D / Mahmoudi, Scherwin / Alizadeh, Leona S / Goekduman, Aynur / Eichler, Katrin / Vogl, Thomas J / Dimitrova, Mirela / Booz, Christian

    Diagnostics (Basel, Switzerland)

    2024  Volume 14, Issue 7

    Abstract: Objectives: The aim of this study is to evaluate the diagnostic accuracy of dual-energy computed tomography (DECT)-based Rho/Z maps in differentiating between metastases and benign liver lesions in patients diagnosed with malignant melanoma compared to ... ...

    Abstract Objectives: The aim of this study is to evaluate the diagnostic accuracy of dual-energy computed tomography (DECT)-based Rho/Z maps in differentiating between metastases and benign liver lesions in patients diagnosed with malignant melanoma compared to conventional CT value measurements.
    Methods: This retrospective study included 73 patients (mean age, 70 ± 13 years; 43 m/30 w) suffering from malignant melanoma who had undergone third-generation DECT as part of tumor staging between December 2017 and December 2021. For this study, we measured Rho (electron density) and Z (effective atomic number) values as well as Hounsfield units (HUs) in hypodense liver lesions. Values were compared, and diagnostic accuracy for differentiation was computed using receiver operating characteristic (ROC) curve analyses. Additional performed MRI or biopsies served as a standard of reference.
    Results: A total of 136 lesions (51 metastases, 71 cysts, and 14 hemangiomas) in contrast-enhanced DECT images were evaluated. The most notable discrepancy (
    Conclusions: Rho and Z measurements derived from DECT allow for improved differentiation of liver metastases and benign liver cysts in patients with malignant melanoma compared to conventional CT value measurements. In contrast, in differentiation between liver hemangiomas and metastases, Rho/Z maps show inferior diagnostic accuracy. Therefore, differentiation between these two lesions remains a challenge for CT imaging.
    Language English
    Publishing date 2024-03-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics14070742
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Predictive Value of Dual-Energy CT-Derived Metrics for the Use of Bone Substitutes in Distal Radius Fracture Surgery.

    Reschke, Philipp / Koch, Vitali / Mahmoudi, Scherwin / Booz, Christian / Yel, Ibrahim / Gotta, Jennifer / Stahl, Adrian / Reschke, Robin / Scholtz, Jan-Erik / Martin, Simon S / Gruber-Rouh, Tatjana / Eichler, Katrin / Vogl, Thomas J / Gruenewald, Leon D

    Diagnostics (Basel, Switzerland)

    2024  Volume 14, Issue 7

    Abstract: 1) Background: Low bone mineral density (BMD) is a significant risk factor for complicated surgery and leads to the increased use of bone substitutes in patients with distal radius fractures (DRFs). No accepted model has yet been established to predict ... ...

    Abstract (1) Background: Low bone mineral density (BMD) is a significant risk factor for complicated surgery and leads to the increased use of bone substitutes in patients with distal radius fractures (DRFs). No accepted model has yet been established to predict the use of bone substitutes to facilitate preoperative planning. (2) Methods: Unenhanced dual-energy CT (DECT) images of DRFs were retrospectively acquired between March 2016 and September 2020 using the internal PACS system. Available follow-up imaging and medical health records were reviewed to determine the use of bone substitutes. DECT-based BMD, trabecular Hounsfield units (HU), cortical HU, and cortical thickness ratio were measured in non-fractured segments of the distal radius. Diagnostic accuracy parameters were calculated for all metrics using receiver-operating characteristic (ROC) curves and associations of all metrics with the use of bone substitutes were evaluated using logistic regression models. (3) The final study population comprised 262 patients (median age 55 years [IQR 43-67 years]; 159 females, 103 males). According to logistic regression analysis, DECT-based BMD was the only metric significantly associated with the use of bone substitutes (odds ratio 0.96,
    Language English
    Publishing date 2024-03-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics14070697
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: A case of myocarditis after COVID-19 vaccination: incidental or consequential?

    Alizadeh, Leona S / Koch, Vitali / Yel, Ibrahim / Grünewald, Leon D / Mathies, Daniel / Martin, Simon / Vogl, Thomas J / Rauschning, Dominic / Booz, Christian

    Heliyon

    2022  Volume 8, Issue 6, Page(s) e09537

    Abstract: Vaccination represents one of the fundamentals in the fight against SARS-CoV-2. Myocarditis has been reported as a rare but possible adverse consequence of different vaccines, and its clinical presentation can range from mild symptoms to acute heart ... ...

    Abstract Vaccination represents one of the fundamentals in the fight against SARS-CoV-2. Myocarditis has been reported as a rare but possible adverse consequence of different vaccines, and its clinical presentation can range from mild symptoms to acute heart failure. We report a case of a 29-year-old man who presented with fever and retrosternal pain after receiving SARS-CoV-2 vaccine. Cardiac magnetic resonance imaging and laboratory data revealed typical findings of acute myocarditis.
    Language English
    Publishing date 2022-05-28
    Publishing country England
    Document type Case Reports
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2022.e09537
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Case report of rare congenital cardiovascular anomalies associated with truncus arteriosus type 2.

    Alizadeh, Leona S / Koch, Vitali / Grünewald, Leon D / Yel, Ibrahim / Mathies, Daniel / Rauschning, Dominic / Vogl, Thomas J / Booz, Christian

    Heliyon

    2022  Volume 8, Issue 10, Page(s) e11033

    Abstract: Truncus arteriosus (TA) is a very rare congenital anomaly with complex cardiovascular anatomy and high lethality also due to severe associated anatomical variants and pathologies. As TA has a massive impact on the survival of a newborn and usually has to ...

    Abstract Truncus arteriosus (TA) is a very rare congenital anomaly with complex cardiovascular anatomy and high lethality also due to severe associated anatomical variants and pathologies. As TA has a massive impact on the survival of a newborn and usually has to be surgically treated. Thus, it is of high importance to understand this congenital cardiovascular disease and associated complications, to improve life expectancy and outcome of these patients. We recently came across a newborn female patient with a rare complex case of persistent TA type 2 associated with further complex cardiovascular anomalies, who received a contrast enhanced CT scan on the 3 rd day post-partum, showing complex cardiovascular abnormalities that were ultimately incompatible with life.
    Language English
    Publishing date 2022-10-12
    Publishing country England
    Document type Case Reports
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2022.e11033
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Indicators for Hospitalization in Acute Pulmonary Embolism: Uncover the Association Between D-dimer Levels, Thrombus Volume and Radiomics.

    Gotta, Jennifer / Gruenewald, Leon D / Geyer, Tobias / Eichler, Katrin / Martin, Simon S / Mahmoudi, Scherwin / Booz, Christian / Biciusca, Teodora / Reschke, Philipp / Juergens, Lisa-Joy / Sommer, Christof M / D'Angelo, Tommaso / Almansour, Haidara / Onay, Melis / Herrmann, Eva / Vogl, Thomas J / Koch, Vitali

    Academic radiology

    2024  

    Abstract: Background: The advent of advanced computed tomography (CT) technology and the field of radiomics has opened up new avenues in diagnostic assessments. Increasingly, there is substantial evidence advocating for the incorporation of quantitative imaging ... ...

    Abstract Background: The advent of advanced computed tomography (CT) technology and the field of radiomics has opened up new avenues in diagnostic assessments. Increasingly, there is substantial evidence advocating for the incorporation of quantitative imaging biomarkers in the clinical decision-making process. This study aimed to examine the correlation between D-dimer levels and thrombus size in acute pulmonary embolism (PE) combining dual-energy CT (DECT) and radiomics and to investigate the diagnostic utility of a machine learning classifier based on dual-energy computed tomography (DECT) radiomics for identifying patients with a complicated course, defined as at least hospitalization at IMC.
    Methods: The study was conducted including 136 participants who underwent pulmonary artery CT angiography from January 2015 to March 2022. Based on DECT imaging, 107 radiomic features were extracted for each patient using standardized image processing. After dividing the dataset into training and test sets, stepwise feature reduction based on reproducibility, variable importance and correlation analyses were performed to select the most relevant features; these were used to train and validate the gradient-boosted tree models.Receiver operating characteristics (ROC) analysis was utilized to evaluate the association between volumetric, laboratory data and adverse outcomes.
    Results: In the central PE group, we observed a significant correlation between thrombus volumetrics and D-dimer levels (p = 0.0037), as well as between thrombus volumetrics and hospitalization at the Intermediate Care Unit (IMC) (p = 0.0001). In contrast, no statistically significant differences were identified in thrombus sizes between patients who experienced complications and those who had a favorable course (p = 0.3162). The trained machine learning classifier achieved an accuracy of 61% and 55% in identifying patients with a complicated course, as indicated by an area under the ROC curve of 0.63 and 0.58.
    Conclusion: In conclusion, our findings indicate a positive correlation between D-dimer levels and central PE's pulmonary embolic burden. Thrombus volumetrics may serve as an indicator for complications and outcomes in acute PE patients. Thus, thrombus volumetrics, as opposed to D-dimers, could be an additional marker for evaluating embolic disease severity. Moreover, DECT-derived radiomic feature models show promise in identifying patients with a complicated course, such as hospitalization at IMC.
    Language English
    Publishing date 2024-01-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1355509-1
    ISSN 1878-4046 ; 1076-6332
    ISSN (online) 1878-4046
    ISSN 1076-6332
    DOI 10.1016/j.acra.2023.12.045
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: From pixels to prognosis: Imaging biomarkers for discrimination and outcome prediction of pulmonary embolism : Original Research Article.

    Gotta, Jennifer / Gruenewald, Leon D / Martin, Simon S / Booz, Christian / Mahmoudi, Scherwin / Eichler, Katrin / Gruber-Rouh, Tatjana / Biciusca, Teodora / Reschke, Philipp / Juergens, Lisa-Joy / Onay, Melis / Herrmann, Eva / Scholtz, Jan-Erik / Sommer, Christof M / Vogl, Thomas J / Koch, Vitali

    Emergency radiology

    2024  

    Abstract: Purpose: Recent advancements in medical imaging have transformed diagnostic assessments, offering exciting possibilities for extracting biomarker-based information. This study aims to investigate the capabilities of a machine learning classifier that ... ...

    Abstract Purpose: Recent advancements in medical imaging have transformed diagnostic assessments, offering exciting possibilities for extracting biomarker-based information. This study aims to investigate the capabilities of a machine learning classifier that incorporates dual-energy computed tomography (DECT) radiomics. The primary focus is on discerning and predicting outcomes related to pulmonary embolism (PE).
    Methods: The study included 131 participants who underwent pulmonary artery DECT angiography between January 2015 and March 2022. Among them, 104 patients received the final diagnosis of PE and 27 patients served as a control group. A total of 107 radiomic features were extracted for every case based on DECT imaging. The dataset was divided into training and test sets for model development and validation. Stepwise feature reduction identified the most relevant features, which were used to train a gradient-boosted tree model. Receiver operating characteristics analysis and Cox regression tests assessed the association of texture features with overall survival.
    Results: The trained machine learning classifier achieved a classification accuracy of 0.94 for identifying patients with acute PE with an area under the receiver operating characteristic curve of 0.91. Radiomics features could be valuable for predicting outcomes in patients with PE, demonstrating strong prognostic capabilities in survival prediction (c-index, 0.991 [0.979-1.00], p = 0.0001) with a median follow-up of 130 days (IQR, 38-720). Notably, the inclusion of clinical or DECT parameters did not enhance predictive performance.
    Conclusion: In conclusion, our study underscores the promising potential of leveraging radiomics on DECT imaging for the identification of patients with acute PE and predicting their outcomes. This approach has the potential to improve clinical decision-making and patient management, offering efficiencies in time and resources by utilizing existing DECT imaging without the need for an additional scoring system.
    Language English
    Publishing date 2024-03-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1425144-9
    ISSN 1438-1435 ; 1070-3004
    ISSN (online) 1438-1435
    ISSN 1070-3004
    DOI 10.1007/s10140-024-02216-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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