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Faron A. Kommentar zu „LUNGE THORAX – Ultra-Niedrigdosis-CT zur Detektion von Lungenrundherden“. ROFO-FORTSCHR RONTG 2023; 195:968-969. [PMID: 37935174 DOI: 10.1055/a-2103-6516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
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Mesropyan N, Khorsandian L, Faron A, Sprinkart AM, Dorn F, Paech D, Isaak A, Kuetting D, Pieper CC, Radbruch A, Attenberger UI, Reimann J, Bode FJ, Kornblum C, Luetkens JA. Computed tomography derived cervical fat-free muscle fraction as an imaging-based outcome marker in patients with acute ischemic stroke: a pilot study. BMC Neurol 2023; 23:86. [PMID: 36855093 PMCID: PMC9971678 DOI: 10.1186/s12883-023-03132-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 02/19/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Outcome assessment in stroke patients is essential for evidence-based stroke care planning. Computed tomography (CT) is the mainstay of diagnosis in acute stroke. This study aimed to investigate whether CT-derived cervical fat-free muscle fraction (FFMF) as a biomarker of muscle quality is associated with outcome parameters after acute ischemic stroke. METHODS In this retrospective study, 66 patients (mean age: 76 ± 13 years, 30 female) with acute ischemic stroke in the anterior circulation who underwent CT, including CT-angiography, and endovascular mechanical thrombectomy of the middle cerebral artery between August 2016 and January 2020 were identified. Based on densitometric thresholds, cervical paraspinal muscles covered on CT-angiography were separated into areas of fatty and lean muscle and FFMF was calculated. The study cohort was binarized based on median FFMF (cutoff value: < 71.6%) to compare clinical variables and outcome data between two groups. Unpaired t test and Mann-Whitney U test were used for statistical analysis. RESULTS National Institute of Health Stroke Scale (NIHSS) (12.2 ± 4.4 vs. 13.6 ± 4.5, P = 0.297) and modified Rankin scale (mRS) (4.3 ± 0.9 vs. 4.4 ± 0.9, P = 0.475) at admission, and pre-stroke mRS (1 ± 1.3 vs. 0.9 ± 1.4, P = 0.489) were similar between groups with high and low FFMF. NIHSS and mRS at discharge were significantly better in patients with high FFMF compared to patients with low FFMF (NIHSS: 4.5 ± 4.4 vs. 9.5 ± 6.7; P = 0.004 and mRS: 2.9 ± 2.1 vs.3.9 ± 1.8; P = 0.049). 90-day mRS was significantly better in patients with high FFMF compared to patients with low FFMF (3.3 ± 2.2 vs. 4.3 ± 1.9, P = 0.045). CONCLUSION Cervical FFMF obtained from routine clinical CT might be a new imaging-based muscle quality biomarker for outcome prediction in stroke patients.
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Affiliation(s)
- Narine Mesropyan
- grid.15090.3d0000 0000 8786 803XDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
| | - Louisa Khorsandian
- grid.15090.3d0000 0000 8786 803XDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,grid.15090.3d0000 0000 8786 803XDepartment of Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Anton Faron
- grid.15090.3d0000 0000 8786 803XDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany ,Radiologische Allianz, Andreas-Knack-Ring 16, 22307 Hamburg, Germany
| | - Alois M. Sprinkart
- grid.15090.3d0000 0000 8786 803XDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
| | - Franziska Dorn
- grid.15090.3d0000 0000 8786 803XDepartment of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Daniel Paech
- grid.15090.3d0000 0000 8786 803XDepartment of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Alexander Isaak
- grid.15090.3d0000 0000 8786 803XDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
| | - Daniel Kuetting
- grid.15090.3d0000 0000 8786 803XDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
| | - Claus C. Pieper
- grid.15090.3d0000 0000 8786 803XDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Alexander Radbruch
- grid.15090.3d0000 0000 8786 803XDepartment of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Ulrike I. Attenberger
- grid.15090.3d0000 0000 8786 803XDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Jens Reimann
- grid.15090.3d0000 0000 8786 803XDepartment of Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Felix J. Bode
- grid.15090.3d0000 0000 8786 803XDepartment of Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Cornelia Kornblum
- grid.15090.3d0000 0000 8786 803XDepartment of Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Julian A. Luetkens
- grid.15090.3d0000 0000 8786 803XDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
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Handke NA, Ollig A, Attenberger UI, Luetkens JA, Faron A, Pieper CC, Schmeel FC, Kupczyk PA, Meyer C, Kuetting D. Percutaneous transhepatic biliary drainage: a retrospective single-center study of 372 patients. Acta Radiol 2022; 64:1322-1330. [PMID: 36128748 DOI: 10.1177/02841851221127809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Complication rates in percutaneous transhepatic biliary drainage (PTBD) are non-uniform and vary considerably. In addition, the impact of peri-procedural risk factors is under-investigated. PURPOSE To compare success and complication rates of PTBD in patients with and without accompanying technical risk factors. MATERIAL AND METHODS A single-center retrospective study was conducted from January 2004 to December 2016. Patients receiving PTBD due to biliary obstruction or biliary leakage were included. Technical risk factors (non-distended bile ducts, ascites, obesity, anasarca, non-compliance) were assessed. Complications were classified according to the Society of Interventional Radiology. RESULTS In total, 372 patients were included (57.3% men, 42.7% women; mean age = 66 years). Overall, 466 PTBDs were performed. Of the patients, 70.1% presented with malignancy and biliary obstruction; 26.8% had benign biliary obstruction; 3.1% had biliary leakage. Technical risk factors were reported in 57 (15.3%) patients. Overall technical success of initial PTBD was 98.7%, primary technical success was 97.9%. In patients with non-dilatated bile ducts, primary technical success was 68.2%. Overall complication rate was 15.0% (8.1% major complications, 6.9% minor complications). Neither major nor minor complications were more frequent in patients with technical risk factors (P > 0.05). In left-sided PTBD, hemorrhage was more frequent (P = 0.015). Patients with malignancy were significantly more affected by drainage-related complications (P = 0.004; odds ratio = 2.03). The mortality rate was 0.5% (n = 2). CONCLUSION PTBD is a safe and effective method for the treatment of biliary obstruction and biliary leaks. Complication rates are low, even in procedures with risk factors.
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Affiliation(s)
- Nikolaus A Handke
- Department of Radiology, 9374University Hospital Bonn, Bonn, Germany
| | - Annika Ollig
- Department of Radiology, 9374University Hospital Bonn, Bonn, Germany
| | | | - Julian A Luetkens
- Department of Radiology, 9374University Hospital Bonn, Bonn, Germany
| | - Anton Faron
- Department of Radiology, 9374University Hospital Bonn, Bonn, Germany
| | - Claus C Pieper
- Department of Radiology, 9374University Hospital Bonn, Bonn, Germany
| | | | - Patrick A Kupczyk
- Department of Radiology, 9374University Hospital Bonn, Bonn, Germany
| | - Carsten Meyer
- Department of Radiology, 9374University Hospital Bonn, Bonn, Germany
| | - Daniel Kuetting
- Department of Radiology, 9374University Hospital Bonn, Bonn, Germany
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Molwitz I, Frisch A, Adam G, Afat S, Ammon J, Antoch G, Baeßler B, Balks F, Barkhausen J, Bayerl N, Brendlin A, Bucher AM, Dammann E, Ellmann S, Faron A, Gerwing M, Kaiser D, Nikolaou K, Özden C, Platz Batista da Silva N, Paulus C, Sieren M, Storz C, Vollbrecht T, Wegner F, Ziegler HR, Oechtering TH. Vision, Development, and Structure of the First German Specialist Training Curriculum for Radiology. ROFO-FORTSCHR RONTG 2022; 194:829-832. [PMID: 35905902 DOI: 10.1055/a-1825-9935] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Affiliation(s)
- Isabel Molwitz
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anne Frisch
- Department of Radiology, Charité - Universitätsmedizin Berlin, Campus Virchow-Klinikum, Berlin, Germany
| | - Gerhard Adam
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Saif Afat
- Department of Radiology, University Hospitals Tübingen, Germany
| | - Josefin Ammon
- Institute of Medical Physics, Nuremberg General Hospital, Paracelsus Medical University, Nuremberg, Germany
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, Heinrich-Heine-University, Düsseldorf, Germany
| | - Bettina Baeßler
- Department of Diagnostic and Interventional Radiology, University of Würzburg, Würzburg, Germany
| | - Friederike Balks
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein Campus Lübeck, Lübeck, Germany
| | - Jörg Barkhausen
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein Campus Lübeck, Lübeck, Germany
| | - Nadine Bayerl
- Department of Radiology, University Hospital Erlangen, Germany
| | | | - Andreas Michael Bucher
- Institute for Diagnostic and Interventional Radiology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Elena Dammann
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephan Ellmann
- Department of Radiology, University Hospital Erlangen, Germany
| | | | - Mirjam Gerwing
- Clinic for Radiology, Westfaelische Wilhelms-University Muenster, Münster, Germany
| | - Daniel Kaiser
- Institute for Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus, Dresden, Germany
| | | | - Cansu Özden
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | | | - Malte Sieren
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein Campus Lübeck, Lübeck, Germany
| | - Corinna Storz
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Thomas Vollbrecht
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany
| | - Franz Wegner
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein Campus Lübeck, Lübeck, Germany
| | | | - Thekla Helene Oechtering
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein Campus Lübeck, Lübeck, Germany.,Department of Radiology, University of Wisconsin, Madison, Wisconsin, United States
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Luetkens JA, Nowak S, Mesropyan N, Block W, Praktiknjo M, Chang J, Bauckhage C, Sifa R, Sprinkart AM, Faron A, Attenberger U. Deep learning supports the differentiation of alcoholic and other-than-alcoholic cirrhosis based on MRI. Sci Rep 2022; 12:8297. [PMID: 35585118 PMCID: PMC9117223 DOI: 10.1038/s41598-022-12410-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 05/09/2022] [Indexed: 11/17/2022] Open
Abstract
Although CT and MRI are standard procedures in cirrhosis diagnosis, differentiation of etiology based on imaging is not established. This proof-of-concept study explores the potential of deep learning (DL) to support imaging-based differentiation of the etiology of liver cirrhosis. This retrospective, monocentric study included 465 patients with confirmed diagnosis of (a) alcoholic (n = 221) and (b) other-than-alcoholic (n = 244) cirrhosis. Standard T2-weighted single-slice images at the caudate lobe level were randomly split for training with fivefold cross-validation (85%) and testing (15%), balanced for (a) and (b). After automated upstream liver segmentation, two different ImageNet pre-trained convolutional neural network (CNN) architectures (ResNet50, DenseNet121) were evaluated for classification of alcohol-related versus non-alcohol-related cirrhosis. The highest classification performance on test data was observed for ResNet50 with unfrozen pre-trained parameters, yielding an area under the receiver operating characteristic curve of 0.82 (95% confidence interval (CI) 0.71–0.91) and an accuracy of 0.75 (95% CI 0.64–0.85). An ensemble of both models did not lead to significant improvement in classification performance. This proof-of-principle study shows that deep-learning classifiers have the potential to aid in discriminating liver cirrhosis etiology based on standard MRI.
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Affiliation(s)
- Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Sebastian Nowak
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Narine Mesropyan
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Wolfgang Block
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Department of Radiotherapy and Radiation Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Department of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Michael Praktiknjo
- Department of Internal Medicine I, Center for Cirrhosis and Portal Hypertension Bonn (CCB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Johannes Chang
- Department of Internal Medicine I, Center for Cirrhosis and Portal Hypertension Bonn (CCB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Christian Bauckhage
- Institute for Computer Science, University of Bonn, Endenicher Allee 19C, 53113, Bonn, Germany.,Media Engineering Department, Fraunhofer IAIS, Schloss Birlinghoven 1, 53757, Sankt Augustin, Germany
| | - Rafet Sifa
- Media Engineering Department, Fraunhofer IAIS, Schloss Birlinghoven 1, 53757, Sankt Augustin, Germany
| | - Alois Martin Sprinkart
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Ulrike Attenberger
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
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6
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Faron A, Abu-Omar J, Chang J, Böhling N, Sprinkart AM, Attenberger U, Rockstroh JK, Luu AM, Jansen C, Strassburg CP, Trebicka J, Luetkens J, Praktiknjo M. Combination of Fat-Free Muscle Index and Total Spontaneous Portosystemic Shunt Area Identifies High-Risk Cirrhosis Patients. Front Med (Lausanne) 2022; 9:831005. [PMID: 35492329 PMCID: PMC9040492 DOI: 10.3389/fmed.2022.831005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 02/22/2022] [Indexed: 11/22/2022] Open
Abstract
Background Sarcopenia and spontaneous portosystemic shunts (SPSSs) are common complications of liver cirrhosis, and both are associated with higher rates of hepatic encephalopathy (HE) development in these patients. This study aimed to evaluate the simultaneous impact of skeletal muscle mass and spontaneous portosystemic shunting, measured from routine diagnostic CT on outcomes in patients with liver cirrhosis. Methods Retrospective analysis of patients with cirrhosis. Skeletal muscle mass [including fat-free muscle index (FFMI) as a surrogate for sarcopenia] and total cross-sectional spontaneous portosystemic shunt area (TSA) were quantified from CT scans. The primary endpoint was the development of HE, while the secondary endpoint was 1-year mortality. Results One hundred fifty-six patients with liver cirrhosis were included. Patients with low (L-) FFMI and large (L-)TSA showed higher rates of HE development. In multivariable analysis, L-FFMI and L-TSA were independent predictors of HE development (L-FFMI HR = 2.69, CI 1.22–5.93; L-TSA, HR = 2.50, CI = 1.24–4.72) and 1-year mortality (L-FFMI, HR = 7.68, CI 1.75–33.74; L-TSA, HR = 3.05, CI 1.32–7.04). The simultaneous presence of L-FFMI and L-TSA exponentially increased the risk of HE development (HR 12.79, CI 2.93–55.86) and 1-year mortality (HR 13.66, CI 1.75–106.50). An easy sequential algorithm including FFMI and TSA identified patients with good, intermediate, and poor prognoses. Conclusion This study indicates synergy between low skeletal muscle mass and large TSA to predict exponentially increased risk of HE development and mortality in liver cirrhosis. Simultaneous screening for sarcopenia and TSA from routine diagnostic CT may help to improve the identification of high-risk patients using an easy-to-apply algorithm. Clinical Trial registration [ClinicalTrials.gov], identifier [NCT03584204].
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Affiliation(s)
- Anton Faron
- Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Jasmin Abu-Omar
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany
| | - Johannes Chang
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany
| | - Nina Böhling
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany
| | | | | | - Jürgen K Rockstroh
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany
| | - Andreas Minh Luu
- Department of Surgery, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Christian Jansen
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany
| | | | - Jonel Trebicka
- Department of Internal Medicine I, University of Frankfurt, Frankfurt, Germany.,European Foundation for the Study of Chronic Liver Failure, Barcelona, Spain
| | - Julian Luetkens
- Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Michael Praktiknjo
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany
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Faron A, Opheys NS, Nowak S, Sprinkart AM, Isaak A, Theis M, Mesropyan N, Endler C, Sirokay J, Pieper CC, Kuetting D, Attenberger U, Landsberg J, Luetkens JA. Deep Learning-Based Body Composition Analysis Predicts Outcome in Melanoma Patients Treated with Immune Checkpoint Inhibitors. Diagnostics (Basel) 2021; 11:diagnostics11122314. [PMID: 34943551 PMCID: PMC8700660 DOI: 10.3390/diagnostics11122314] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/19/2021] [Accepted: 12/05/2021] [Indexed: 01/11/2023] Open
Abstract
Previous studies suggest an impact of body composition on outcome in melanoma patients. We aimed to determine the prognostic value of CT-based body composition assessment in patients receiving immune checkpoint inhibitor therapy for treatment of metastatic disease using a deep learning approach. One hundred seven patients with staging CT examinations prior to initiation of checkpoint inhibition between January 2013 and August 2019 were retrospectively evaluated. Using an automated deep learning-based body composition analysis pipeline, parameters for estimation of skeletal muscle mass (skeletal muscle index, SMI) and adipose tissue compartments (visceral adipose tissue index, VAI; subcutaneous adipose tissue index, SAI) were derived from staging CT. The cohort was binarized according to gender-specific median cut-off values. Patients below the median were defined as having low SMI, VAI, or SAI, respectively. The impact on outcome was assessed using the Kaplan-Meier method with log-rank tests. A multivariable logistic regression model was built to test the impact of body composition parameters on 3-year mortality. Patients with low SMI displayed significantly increased 1-year (25% versus 9%, p = 0.035), 2-year (32% versus 13%, p = 0.017), and 3-year mortality (38% versus 19%, p = 0.016). No significant differences with regard to adipose tissue compartments were observed (3-year mortality: VAI, p = 0.448; SAI, p = 0.731). On multivariable analysis, low SMI (hazard ratio (HR), 2.245; 95% confidence interval (CI), 1.005-5.017; p = 0.049), neutrophil-to-lymphocyte ratio (HR, 1.170; 95% CI, 1.076-1.273; p < 0.001), and Karnofsky index (HR, 0.965; 95% CI, 0.945-0.985; p = 0.001) remained as significant predictors of 3-year mortality. Lowered skeletal muscle index as an indicator of sarcopenia was associated with worse outcome in patients with metastatic melanoma receiving immune checkpoint inhibitor therapy.
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Affiliation(s)
- Anton Faron
- Department of Diagnostics and Interventional Radiology, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (A.F.); (N.S.O.); (S.N.); (A.M.S.); (A.I.); (M.T.); (N.M.); (C.E.); (C.C.P.); (D.K.); (U.A.)
- Quantitative Imaging Lab Bonn (QLaB), Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany
| | - Nikola S. Opheys
- Department of Diagnostics and Interventional Radiology, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (A.F.); (N.S.O.); (S.N.); (A.M.S.); (A.I.); (M.T.); (N.M.); (C.E.); (C.C.P.); (D.K.); (U.A.)
- Quantitative Imaging Lab Bonn (QLaB), Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany
| | - Sebastian Nowak
- Department of Diagnostics and Interventional Radiology, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (A.F.); (N.S.O.); (S.N.); (A.M.S.); (A.I.); (M.T.); (N.M.); (C.E.); (C.C.P.); (D.K.); (U.A.)
- Quantitative Imaging Lab Bonn (QLaB), Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany
| | - Alois M. Sprinkart
- Department of Diagnostics and Interventional Radiology, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (A.F.); (N.S.O.); (S.N.); (A.M.S.); (A.I.); (M.T.); (N.M.); (C.E.); (C.C.P.); (D.K.); (U.A.)
- Quantitative Imaging Lab Bonn (QLaB), Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany
| | - Alexander Isaak
- Department of Diagnostics and Interventional Radiology, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (A.F.); (N.S.O.); (S.N.); (A.M.S.); (A.I.); (M.T.); (N.M.); (C.E.); (C.C.P.); (D.K.); (U.A.)
- Quantitative Imaging Lab Bonn (QLaB), Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany
| | - Maike Theis
- Department of Diagnostics and Interventional Radiology, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (A.F.); (N.S.O.); (S.N.); (A.M.S.); (A.I.); (M.T.); (N.M.); (C.E.); (C.C.P.); (D.K.); (U.A.)
- Quantitative Imaging Lab Bonn (QLaB), Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany
| | - Narine Mesropyan
- Department of Diagnostics and Interventional Radiology, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (A.F.); (N.S.O.); (S.N.); (A.M.S.); (A.I.); (M.T.); (N.M.); (C.E.); (C.C.P.); (D.K.); (U.A.)
- Quantitative Imaging Lab Bonn (QLaB), Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany
| | - Christoph Endler
- Department of Diagnostics and Interventional Radiology, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (A.F.); (N.S.O.); (S.N.); (A.M.S.); (A.I.); (M.T.); (N.M.); (C.E.); (C.C.P.); (D.K.); (U.A.)
- Quantitative Imaging Lab Bonn (QLaB), Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany
| | - Judith Sirokay
- Center of Integrated Oncology (CIO) Bonn, Department of Dermatology and Allergy, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (J.S.); (J.L.)
| | - Claus C. Pieper
- Department of Diagnostics and Interventional Radiology, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (A.F.); (N.S.O.); (S.N.); (A.M.S.); (A.I.); (M.T.); (N.M.); (C.E.); (C.C.P.); (D.K.); (U.A.)
| | - Daniel Kuetting
- Department of Diagnostics and Interventional Radiology, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (A.F.); (N.S.O.); (S.N.); (A.M.S.); (A.I.); (M.T.); (N.M.); (C.E.); (C.C.P.); (D.K.); (U.A.)
- Quantitative Imaging Lab Bonn (QLaB), Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany
| | - Ulrike Attenberger
- Department of Diagnostics and Interventional Radiology, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (A.F.); (N.S.O.); (S.N.); (A.M.S.); (A.I.); (M.T.); (N.M.); (C.E.); (C.C.P.); (D.K.); (U.A.)
| | - Jennifer Landsberg
- Center of Integrated Oncology (CIO) Bonn, Department of Dermatology and Allergy, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (J.S.); (J.L.)
| | - Julian A. Luetkens
- Department of Diagnostics and Interventional Radiology, Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany; (A.F.); (N.S.O.); (S.N.); (A.M.S.); (A.I.); (M.T.); (N.M.); (C.E.); (C.C.P.); (D.K.); (U.A.)
- Quantitative Imaging Lab Bonn (QLaB), Venusberg Campus 1, University Hospital Bonn, 53127 Bonn, Germany
- Correspondence:
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8
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Vach M, Luetkens JA, Faron A, Isaak A, Salam B, Thomas D, Attenberger UI, Sprinkart AM. Association between single-slice and whole heart measurements of epicardial and pericardial fat in cardiac MRI. Acta Radiol 2021:2841851211054192. [PMID: 34747661 DOI: 10.1177/02841851211054192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Epicardial (ECF) and pericardial fat (PCF) are important prognostic markers for various cardiac diseases. However, volumetry of the fat compartments is time-consuming. PURPOSE To investigate whether total volume of ECF and PCF can be estimated by axial single-slice measurements and in a four-chamber view. MATERIAL AND METHODS A total of 113 individuals (79 patients and 34 healthy) were included in this retrospective magnetic resonance imaging (MRI) study. The total volume of ECF and PCF was determined using a 3D-Dixon sequence. Additionally, the area of ECF and PCF was obtained in single axial layers at five anatomical landmarks (left coronary artery, right coronary artery, right pulmonary artery, mitral valve, coronary sinus) of the Dixon sequence and in a four-chamber view of a standard cine sequence. Pearson's correlation coefficient was calculated between the total volume and each single-slice measurement. RESULTS Axial single-slice measurements of ECF and PCF correlated strongly with the total fat volumes at all landmarks (ECF: r = 0.85-0.94, P < 0.001; PCF: r = 0.89-0.94, P < 0.001). The best correlation was found at the level of the left coronary artery for ECF and PCF (r = 0.94, P < 0.001). Correlation between single-slice measurement in the four-chamber view and the total ECF and PCF volume was lower (r = 0.75 and r = 0.8, respectively, P < 0.001). CONCLUSION Single-slice measurements allow an estimation of ECF and PCF volume. This time-efficient analysis allows studies of larger patient cohorts and the opportunistic determination of ECF/PCF from routine examinations.
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Affiliation(s)
- Marius Vach
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University of Bonn, Bonn, Germany
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University of Bonn, Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University of Bonn, Bonn, Germany
| | - Alexander Isaak
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University of Bonn, Bonn, Germany
| | - Babak Salam
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University of Bonn, Bonn, Germany
| | - Daniel Thomas
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University of Bonn, Bonn, Germany
| | - Ulrike I Attenberger
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University of Bonn, Bonn, Germany
| | - Alois M Sprinkart
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University of Bonn, Bonn, Germany
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Mesropyan N, Isaak A, Dabir D, Hart C, Faron A, Endler C, Kravchenko D, Katemann C, Pieper CC, Kuetting D, Attenberger UI, Luetkens JA. Free-breathing high resolution modified Dixon steady-state angiography with compressed sensing for the assessment of the thoracic vasculature in pediatric patients with congenital heart disease. J Cardiovasc Magn Reson 2021; 23:117. [PMID: 34689811 PMCID: PMC8543883 DOI: 10.1186/s12968-021-00810-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 08/30/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance angiography (CMRA) is a non-invasive imaging modality of choice in pediatric patients with congenital heart disease (CHD). This study was aimed to evaluate the diagnostic utility of a respiratory- and electrocardiogram-gated steady-state CMRA with modified Dixon (mDixon) fat suppression technique and compressed sensing in comparison to standard first-pass CMRA in pediatric patients with CHD at 3 T. METHODS In this retrospective single center study, pediatric CHD patients who underwent CMR with first-pass CMRA followed by mDixon steady-state CMRA at 3 T were analyzed. Image quality using a Likert scale from 5 (excellent) to 1 (non-diagnostic) and quality of fat suppression were assessed in consensus by two readers. Blood-to-tissue contrast and quantitative measurements of the thoracic vasculature were assessed separately by two readers. CMRA images were reevaluated by two readers for additional findings, which could be identified only on either one of the CMRA types. Paired Student t test, Wilcoxon test, and intraclass correlation coefficients (ICCs) were used for statistical analysis. RESULTS 32 patients with CHD (3.3 ± 1.7 years, 13 female) were included. Overall image quality of steady-state mDixon CMRA was higher compared to first-pass CMRA (4.5 ± 0.5 vs. 3.3 ± 0.5; P < 0.001). Blood-to-tissue contrast ratio of steady-state mDixon CMRA was comparable to first-pass CMRA (7.85 ± 4.75 vs. 6.35 ± 2.23; P = 0.133). Fat suppression of steady-state mDixon CMRA was perfect in 30/32 (94%) cases. Vessel diameters were greater in first-pass CMRA compared to steady-state mDixon CMRA with the greatest differences at the level of pulmonary arteries and veins (e.g., right pulmonary artery for reader 1: 10.4 ± 2.4 vs. 9.9 ± 2.3 mm, P < 0.001). Interobserver agreement was higher for steady-state mDixon CMRA for all measurements compared to first-pass CMRA (ICCs > 0.92). In 9/32 (28%) patients, 10 additional findings were identified on mDixon steady-state CMRA (e.g., partial anomalous venous return, abnormalities of coronary arteries, subclavian artery stenosis), which were not depicted using first-pass CMRA. CONCLUSIONS Steady-state mDixon CMRA offers a robust fat suppression, a high image quality, and diagnostic utility for the assessment of the thoracic vasculature in pediatric CHD patients.
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Affiliation(s)
- Narine Mesropyan
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Alexander Isaak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Darius Dabir
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Christopher Hart
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Department of Pediatric Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Christoph Endler
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Dmitrij Kravchenko
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | | | - Claus C Pieper
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
| | - Daniel Kuetting
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Ulrike I Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany.
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany.
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Nowak S, Theis M, Wichtmann BD, Faron A, Froelich MF, Tollens F, Geißler HL, Block W, Luetkens JA, Attenberger UI, Sprinkart AM. End-to-end automated body composition analyses with integrated quality control for opportunistic assessment of sarcopenia in CT. Eur Radiol 2021; 32:3142-3151. [PMID: 34595539 PMCID: PMC9038788 DOI: 10.1007/s00330-021-08313-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 08/06/2021] [Accepted: 08/31/2021] [Indexed: 12/18/2022]
Abstract
OBJECTIVES To develop a pipeline for automated body composition analysis and skeletal muscle assessment with integrated quality control for large-scale application in opportunistic imaging. METHODS First, a convolutional neural network for extraction of a single slice at the L3/L4 lumbar level was developed on CT scans of 240 patients applying the nnU-Net framework. Second, a 2D competitive dense fully convolutional U-Net for segmentation of visceral and subcutaneous adipose tissue (VAT, SAT), skeletal muscle (SM), and subsequent determination of fatty muscle fraction (FMF) was developed on single CT slices of 1143 patients. For both steps, automated quality control was integrated by a logistic regression model classifying the presence of L3/L4 and a linear regression model predicting the segmentation quality in terms of Dice score. To evaluate the performance of the entire pipeline end-to-end, body composition metrics, and FMF were compared to manual analyses including 364 patients from two centers. RESULTS Excellent results were observed for slice extraction (z-deviation = 2.46 ± 6.20 mm) and segmentation (Dice score for SM = 0.95 ± 0.04, VAT = 0.98 ± 0.02, SAT = 0.97 ± 0.04) on the dual-center test set excluding cases with artifacts due to metallic implants. No data were excluded for end-to-end performance analyses. With a restrictive setting of the integrated segmentation quality control, 39 of 364 patients were excluded containing 8 cases with metallic implants. This setting ensured a high agreement between manual and fully automated analyses with mean relative area deviations of ΔSM = 3.3 ± 4.1%, ΔVAT = 3.0 ± 4.7%, ΔSAT = 2.7 ± 4.3%, and ΔFMF = 4.3 ± 4.4%. CONCLUSIONS This study presents an end-to-end automated deep learning pipeline for large-scale opportunistic assessment of body composition metrics and sarcopenia biomarkers in clinical routine. KEY POINTS • Body composition metrics and skeletal muscle quality can be opportunistically determined from routine abdominal CT scans. • A pipeline consisting of two convolutional neural networks allows an end-to-end automated analysis. • Machine-learning-based quality control ensures high agreement between manual and automatic analysis.
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Affiliation(s)
- Sebastian Nowak
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Maike Theis
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Barbara D Wichtmann
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Fabian Tollens
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Helena L Geißler
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Wolfgang Block
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Department of Radiotherapy and Radiation Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Department of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Ulrike I Attenberger
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Alois M Sprinkart
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
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11
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Faron A, Isaak A, Mesropyan N, Reinert M, Schwab K, Sirokay J, Sprinkart AM, Bauernfeind FG, Dabir D, Pieper CC, Heine A, Kuetting D, Attenberger U, Landsberg J, Luetkens JA. Cardiac MRI Depicts Immune Checkpoint Inhibitor-induced Myocarditis: A Prospective Study. Radiology 2021; 301:602-609. [PMID: 34581628 DOI: 10.1148/radiol.2021210814] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Immune checkpoint inhibitors (ICIs) for cancer treatment are associated with a spectrum of immune-related adverse events, including ICI-induced myocarditis; however, the extent of subclinical acute cardiac effects related to ICI treatment is unclear. Purpose To explore the extent of cardiac injury and inflammation related to ICI therapy that can be detected with use of cardiac MRI. Materials and Methods In this prospective study from November 2019 to April 2021, oncologic participants, without known underlying structural heart disease or cardiac symptoms, underwent multiparametric cardiac MRI before planned ICI therapy (baseline) and 3 months after starting ICI therapy (follow-up). The cardiac MRI protocol incorporated assessment of cardiac function, including systolic myocardial strain, myocardial edema, late gadolinium enhancement (LGE), T1 and T2 relaxation times, and extracellular volume fraction. The paired t test, Wilcoxon signed-rank test, and McNemar test were used for intraindividual comparisons. Results Twenty-two participants (mean age ± standard deviation, 65 years ± 14; 13 men) were evaluated, receiving a median of four infusions of ICI therapy (interquartile range, four to six infusions). Compared with baseline MRI, participants displayed increased markers of diffuse myocardial edema at follow-up (T1 relaxation time, 972 msec ± 26 vs 1006 msec ± 36 [P < .001]; T2 relaxation time, 54 msec ± 3 vs 58 msec ± 4 [P < .001]; T2 signal intensity ratio, 1.5 ± 0.3 vs 1.7 ± 0.3 [P = .03]). Left ventricular average systolic longitudinal strain had decreased at follow-up MRI (-23.4% ± 4.8 vs -19.6% ± 5.1, respectively; P = .005). New nonischemic LGE lesions were prevalent in two of 22 participants (9%). Compared with baseline, small pericardial effusions were more evident at follow-up (one of 22 participants [5%] vs 10 of 22 [45%]; P = .004). Conclusion In participants who received immune checkpoint inhibitor therapy for cancer treatment, follow-up cardiac MRI scans showed signs of systolic dysfunction and increased parameters of myocardial edema and inflammation. © RSNA, 2021 Online supplemental material is available for this article.
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Affiliation(s)
- Anton Faron
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Alexander Isaak
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Narine Mesropyan
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Matthäus Reinert
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Katjana Schwab
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Judith Sirokay
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Alois M Sprinkart
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Franz-Georg Bauernfeind
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Darius Dabir
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Claus C Pieper
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Annkristin Heine
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Daniel Kuetting
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Ulrike Attenberger
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Jennifer Landsberg
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Julian A Luetkens
- From the Department of Diagnostic and Interventional Radiology (A.F., A.I., N.M., M.R., A.M.S., D.D., C.C.P., D.K., U.A., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (A.F., A.I., N.M., A.M.S., D.K., J.A.L.), Department of Oncology, Hematology, and Rheumatology (K.S., F.G.B., A.H.), and Department of Dermatology and Allergology (J.S., J.L.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
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Kravchenko D, Isaak A, Zimmer S, Mesropyan N, Reinert M, Faron A, Pieper CC, Heine A, Velten M, Nattermann J, Kuetting D, Duerr GD, Attenberger UI, Luetkens JA. Cardiac MRI in Patients with Prolonged Cardiorespiratory Symptoms after Mild to Moderate COVID-19 Infection. Radiology 2021; 301:E419-E425. [PMID: 34374593 PMCID: PMC8369880 DOI: 10.1148/radiol.2021211162] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background Myocardial injury and inflammation at cardiac MRI in patients with COVID-19 have been described in recent publications. Concurrently, a chronic COVID-19 syndrome (CCS) after SARS-CoV-2 infection has been observed and manifests with symptoms such as fatigue and exertional dyspnea. Purpose To explore the relationship between CCS and myocardial injury and inflammation as an underlying cause of the persistent complaints in previously healthy individuals. Materials and Methods In this prospective study from January 2021 to April 2021, study participants without known cardiac or pulmonary diseases prior to SARS-CoV-2 infection who had persistent CCS symptoms such as fatigue or exertional dyspnea after convalescence and healthy control participants underwent cardiac MRI. The cardiac MRI protocol included evaluating the T1 and T2 relaxation times, extracellular volume, T2 signal intensity ratio, and late gadolinium enhancement (LGE). Student t tests, Mann-Whitney U tests, and χ2 tests were used for statistical analysis. Results Forty-one participants with CCS (mean age, 39 years ± 13 [standard deviation]; 18 men) and 42 control participants (mean age, 39 years ± 16; 26 men) were evaluated. The median time between the initial incidence of mild to moderate COVID-19 not requiring hospitalization and undergoing cardiac MRI was 103 days (interquartile range, 88–158 days). Troponin T levels were normal. Parameters indicating myocardial inflammation and edema were comparable between participants with CCS and control participants (T1 relaxation times: 978 msec ± 23 vs 971 msec ± 25 [P = .17]; T2 relaxation times: 53 msec ± 2 vs 52 msec ± 2 [P = .47]; T2 signal intensity ratios: 1.6 ± 0.2 vs 1.6 ± 0.3 [P = .10]). Visible myocardial edema was present in none of the participants. Three of 41 (7%) participants with CCS demonstrated nonischemic LGE, whereas no participants in the control group demonstrated nonischemic LGE (0 of 42 [0%]; P = .07). None of the participants fulfilled the 2018 Lake Louise criteria for the diagnosis of myocarditis. Conclusion Individuals with chronic COVID-19 syndrome who did not undergo hospitalization for COVID-19 did not demonstrate signs of active myocardial injury or inflammation at cardiac MRI. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Lima and Bluemke in this issue.
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Affiliation(s)
- Dmitrij Kravchenko
- Department for Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Alexander Isaak
- Department for Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Sebastian Zimmer
- Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Narine Mesropyan
- Department for Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Matthäus Reinert
- Department for Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Anton Faron
- Department for Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Claus C Pieper
- Department for Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Annkristin Heine
- Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Markus Velten
- Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Jacob Nattermann
- Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Daniel Kuetting
- Department for Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Georg D Duerr
- Department of Cardiothoracic and Vascular Surgery, University Hospital Mainz, Langenbeckstraße 1, 55131 Mainz, Germany
| | - Ulrike I Attenberger
- Department for Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Julian A Luetkens
- Department for Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
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Isaak A, Luetkens JA, Faron A, Endler C, Mesropyan N, Katemann C, Zhang S, Kupczyk P, Kuetting D, Attenberger U, Dabir D. Free-breathing non-contrast flow-independent cardiovascular magnetic resonance angiography using cardiac gated, magnetization-prepared 3D Dixon method: assessment of thoracic vasculature in congenital heart disease. J Cardiovasc Magn Reson 2021; 23:91. [PMID: 34275486 PMCID: PMC8287681 DOI: 10.1186/s12968-021-00788-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 06/09/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To evaluate a non-contrast respiratory- and electrocardiogram-gated 3D cardiovascular magnetic resonance angiography (CMRA) based on magnetization-prepared Dixon method (relaxation-enhanced angiography without contrast and triggering, REACT) for the assessment of the thoracic vasculature in congenital heart disease (CHD) patients. METHODS 70 patients with CHD (mean 28 years, range: 10-65 years) were retrospectively identified in this single-center study. REACT-CMRA was applied with respiratory- and cardiac-gating. Image quality (IQ) of REACT-CMRA was compared to standard non-gated multi-phase first-pass-CMRA and respiratory- and electrocardiogram-gated steady-state-CMRA. IQ of different vessels of interest (ascending aorta, left pulmonary artery, left superior pulmonary vein, right coronary ostium, coronary sinus) was independently assessed by two readers on a five-point Likert scale. Measurements of vessel diameters were performed in predefined anatomic landmarks (ascending aorta, left pulmonary artery, left superior pulmonary vein). Both readers assessed artifacts and vascular abnormalities. Friedman test, chi-squared test, and Bland-Altman method were used for statistical analysis. RESULTS Overall IQ score of REACT-CMRA was higher compared to first-pass-CMRA (3.5 ± 0.4 vs. 2.7 ± 0.4, P < 0.001) and did not differ from steady-state-CMRA (3.5 ± 0.4 vs. 3.5 ± 0.6, P = 0.99). Non-diagnostic IQ of the defined vessels of interest was observed less frequently on REACT-CMRA (1.7 %) compared to steady-state- (4.3 %, P = 0.046) or first-pass-CMRA (20.9 %, P < 0.001). Close agreements in vessel diameter measurements were observed between REACT-CMRA and steady-state-CMRA (e.g. ascending aorta, bias: 0.38 ± 1.0 mm, 95 % limits of agreement (LOA): - 1.62-2.38 mm). REACT-CMRA showed high intra- (bias: 0.04 ± 1.0 mm, 95 % LOA: - 1.9-2.0 mm) and interobserver (bias: 0.20 ± 1.1 mm, 95 % LOA: - 2.0-2.4 mm) agreements regarding vessel diameter measurements. Fat-water separation artifacts were observed in 11/70 (16 %) patients on REACT-CMRA but did not limit diagnostic utility. Six vascular abnormalities were detected on REACT-CMRA that were not seen on standard contrast-enhanced CMRA. CONCLUSIONS Non-contrast-enhanced cardiac-gated REACT-CMRA offers a high diagnostic quality for assessment of the thoracic vasculature in CHD patients.
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Affiliation(s)
- Alexander Isaak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany.
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Christoph Endler
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Narine Mesropyan
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | | | | | - Patrick Kupczyk
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Daniel Kuetting
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Ulrike Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Darius Dabir
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
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Ilic I, Faron A, Heimann M, Potthoff AL, Schäfer N, Bode C, Borger V, Eichhorn L, Giordano FA, Güresir E, Jacobs AH, Ko YD, Landsberg J, Lehmann F, Radbruch A, Herrlinger U, Vatter H, Schuss P, Schneider M. Combined Assessment of Preoperative Frailty and Sarcopenia Allows the Prediction of Overall Survival in Patients with Lung Cancer (NSCLC) and Surgically Treated Brain Metastasis. Cancers (Basel) 2021; 13:cancers13133353. [PMID: 34283079 PMCID: PMC8267959 DOI: 10.3390/cancers13133353] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 06/28/2021] [Accepted: 07/01/2021] [Indexed: 12/15/2022] Open
Abstract
Simple Summary Patients with brain metastasis are at a severe stage of cancer, and brain surgery can prevent neurological morbidity. However, the success of brain surgery might require a patient’s physical integrity prior to the operation. In the present study, we asked whether a preoperative physical decline affects survival in patients with brain metastasis from lung cancer. In order to measure the physical condition, we used a commonly-known index—the so-called frailty index—and additionally measured the thickness of a particular masticatory muscle as muscle loss correlates to physical decline. We found that a decreased muscle thickness was accompanied by worsened survival for patients < 65 years and an increased frailty index correlated to worsened survival for patients ≥ 65 years. These results encourage to use of the frailty index and muscle thickness as easily available parameters in order to more sufficiently estimate individual treatment success in patients with metastatic lung cancer. Abstract Neurosurgical resection represents an important therapeutic pillar in patients with brain metastasis (BM). Such extended treatment modalities require preoperative assessment of patients’ physical status to estimate individual treatment success. The aim of the present study was to analyze the predictive value of frailty and sarcopenia as assessment tools for physiological integrity in patients with non-small cell lung cancer (NSCLC) who had undergone surgery for BM. Between 2013 and 2018, 141 patients were surgically treated for BM from NSCLC at the authors’ institution. The preoperative physical condition was assessed by the temporal muscle thickness (TMT) as a surrogate parameter for sarcopenia and the modified frailty index (mFI). For the ≥65 aged group, median overall survival (mOS) significantly differed between patients classified as ‘frail’ (mFI ≥ 0.27) and ‘least and moderately frail’ (mFI < 0.27) (15 months versus 11 months (p = 0.02)). Sarcopenia revealed significant differences in mOS for the <65 aged group (10 versus 18 months for patients with and without sarcopenia (p = 0.036)). The present study confirms a predictive value of preoperative frailty and sarcopenia with respect to OS in patients with NSCLC and surgically treated BM. A combined assessment of mFI and TMT allows the prediction of OS across all age groups.
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Affiliation(s)
- Inja Ilic
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany; (M.H.); (A.-L.P.); (V.B.); (E.G.); (H.V.); (P.S.); (M.S.)
- Correspondence: ; Tel.: +49-228-287-16500
| | - Anton Faron
- Department of Radiology, University Hospital Bonn, 53127 Bonn, Germany;
| | - Muriel Heimann
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany; (M.H.); (A.-L.P.); (V.B.); (E.G.); (H.V.); (P.S.); (M.S.)
| | - Anna-Laura Potthoff
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany; (M.H.); (A.-L.P.); (V.B.); (E.G.); (H.V.); (P.S.); (M.S.)
| | - Niklas Schäfer
- Division of Clinical Neuro-Oncology, Department of Neurology, University Hospital Bonn, 53127 Bonn, Germany; (N.S.); (U.H.)
| | - Christian Bode
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, 53127 Bonn, Germany; (C.B.); (L.E.); (F.L.)
| | - Valeri Borger
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany; (M.H.); (A.-L.P.); (V.B.); (E.G.); (H.V.); (P.S.); (M.S.)
| | - Lars Eichhorn
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, 53127 Bonn, Germany; (C.B.); (L.E.); (F.L.)
| | - Frank A. Giordano
- Department of Radiation Oncology, University Hospital Bonn, 53127 Bonn, Germany;
| | - Erdem Güresir
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany; (M.H.); (A.-L.P.); (V.B.); (E.G.); (H.V.); (P.S.); (M.S.)
| | - Andreas H. Jacobs
- Department of Geriatric Medicine and Neurology, Johanniter Hospital Bonn, 53113 Bonn, Germany;
| | - Yon-Dschun Ko
- Department of Oncology and Hematology, Johanniter Hospital Bonn, 53113 Bonn, Germany;
| | - Jennifer Landsberg
- Department of Dermatology and Allergy, University Hospital Bonn, 53127 Bonn, Germany;
| | - Felix Lehmann
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, 53127 Bonn, Germany; (C.B.); (L.E.); (F.L.)
| | - Alexander Radbruch
- Department of Neuroradiology, University Hospital Bonn, 53127 Bonn, Germany;
| | - Ulrich Herrlinger
- Division of Clinical Neuro-Oncology, Department of Neurology, University Hospital Bonn, 53127 Bonn, Germany; (N.S.); (U.H.)
| | - Hartmut Vatter
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany; (M.H.); (A.-L.P.); (V.B.); (E.G.); (H.V.); (P.S.); (M.S.)
| | - Patrick Schuss
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany; (M.H.); (A.-L.P.); (V.B.); (E.G.); (H.V.); (P.S.); (M.S.)
| | - Matthias Schneider
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany; (M.H.); (A.-L.P.); (V.B.); (E.G.); (H.V.); (P.S.); (M.S.)
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Endler CH, Ginzburg D, Isaak A, Faron A, Mesropyan N, Kuetting D, Pieper CC, Kupczyk PA, Attenberger UI, Luetkens JA. Diagnostic Benefit of MRI for Exclusion of Ligamentous Injury in Patients with Lateral Atlantodental Interval Asymmetry at Initial Trauma CT. Radiology 2021; 300:633-640. [PMID: 34184931 DOI: 10.1148/radiol.2021204187] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Cervical spine CT is regularly performed to exclude cervical spine injury during the initial evaluation of trauma patients. Patients with asymmetry of the lateral atlantodental interval (LADI) often undergo subsequent MRI to rule out ligamentous injuries. The clinical relevance of an asymmetric LADI and the benefit of additional MRI remain unclear. Purpose To evaluate the diagnostic benefit of additional MRI in patients with blunt trauma who have asymmetry of the LADI and no other cervical injuries. Materials and Methods Patients who underwent cervical spine CT during initial trauma evaluation between March 2017 and August 2019 were retrospectively evaluated. Those who underwent subsequent MRI because of LADI asymmetry of 1 mm or greater with no other signs of cervical injury were identified and reevaluated by two readers blinded to clinical data and initial study reports regarding possible ligamentous injuries. Results Among 1553 patients, 146 (9%) had LADI asymmetry of 1 mm or greater. Of these, 46 patients (mean age ± standard deviation, 39 years ± 22; 28 men; median LADI asymmetry, 2.4 mm [interquartile range, 1.8-3.1 mm]) underwent supplementary MRI with no other signs of cervical injury at initial CT. Ten of the 46 patients (22%) showed cervical tenderness at clinical examination, and 36 patients (78%) were asymptomatic. In two of the 46 patients (4%), MRI revealed alar ligament injury; both of these patients showed LADI asymmetry greater than 3 mm, along with cervical tenderness at clinical examination, and underwent treatment for ligamentous injury. In 13 of the 46 patients (28%), signal intensity alterations of alar ligaments without signs of rupture were observed. Four of these 13 patients (31%) were subsequently treated for ligamentous injury despite being asymptomatic. Conclusion Subsequent MRI following CT of the cervical spine in trauma patients with lateral atlantodental interval asymmetry may have diagnostic benefit only in symptomatic patients. In asymptomatic patients without proven cervical injuries, subsequent MRI showed no diagnostic benefit and may even lead to overtreatment. © RSNA, 2021 Online supplemental material is available for this article.
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Affiliation(s)
- Christoph H Endler
- From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.H.E., D.G., A.I., A.F., N.M., D.K., C.C.P., P.A.K., U.I.A., J.A.L.); and Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (C.H.E., A.I., A.F., N.M., D.K., P.A.K., J.A.L.)
| | - Daniel Ginzburg
- From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.H.E., D.G., A.I., A.F., N.M., D.K., C.C.P., P.A.K., U.I.A., J.A.L.); and Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (C.H.E., A.I., A.F., N.M., D.K., P.A.K., J.A.L.)
| | - Alexander Isaak
- From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.H.E., D.G., A.I., A.F., N.M., D.K., C.C.P., P.A.K., U.I.A., J.A.L.); and Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (C.H.E., A.I., A.F., N.M., D.K., P.A.K., J.A.L.)
| | - Anton Faron
- From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.H.E., D.G., A.I., A.F., N.M., D.K., C.C.P., P.A.K., U.I.A., J.A.L.); and Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (C.H.E., A.I., A.F., N.M., D.K., P.A.K., J.A.L.)
| | - Narine Mesropyan
- From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.H.E., D.G., A.I., A.F., N.M., D.K., C.C.P., P.A.K., U.I.A., J.A.L.); and Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (C.H.E., A.I., A.F., N.M., D.K., P.A.K., J.A.L.)
| | - Daniel Kuetting
- From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.H.E., D.G., A.I., A.F., N.M., D.K., C.C.P., P.A.K., U.I.A., J.A.L.); and Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (C.H.E., A.I., A.F., N.M., D.K., P.A.K., J.A.L.)
| | - Claus C Pieper
- From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.H.E., D.G., A.I., A.F., N.M., D.K., C.C.P., P.A.K., U.I.A., J.A.L.); and Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (C.H.E., A.I., A.F., N.M., D.K., P.A.K., J.A.L.)
| | - Patrick A Kupczyk
- From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.H.E., D.G., A.I., A.F., N.M., D.K., C.C.P., P.A.K., U.I.A., J.A.L.); and Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (C.H.E., A.I., A.F., N.M., D.K., P.A.K., J.A.L.)
| | - Ulrike I Attenberger
- From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.H.E., D.G., A.I., A.F., N.M., D.K., C.C.P., P.A.K., U.I.A., J.A.L.); and Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (C.H.E., A.I., A.F., N.M., D.K., P.A.K., J.A.L.)
| | - Julian A Luetkens
- From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.H.E., D.G., A.I., A.F., N.M., D.K., C.C.P., P.A.K., U.I.A., J.A.L.); and Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (C.H.E., A.I., A.F., N.M., D.K., P.A.K., J.A.L.)
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Nowak S, Mesropyan N, Faron A, Block W, Reuter M, Attenberger UI, Luetkens JA, Sprinkart AM. Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning. Eur Radiol 2021; 31:8807-8815. [PMID: 33974149 PMCID: PMC8523404 DOI: 10.1007/s00330-021-07858-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 02/12/2021] [Accepted: 03/10/2021] [Indexed: 12/17/2022]
Abstract
Objectives To investigate the diagnostic performance of deep transfer learning (DTL) to detect liver cirrhosis from clinical MRI. Methods The dataset for this retrospective analysis consisted of 713 (343 female) patients who underwent liver MRI between 2017 and 2019. In total, 553 of these subjects had a confirmed diagnosis of liver cirrhosis, while the remainder had no history of liver disease. T2-weighted MRI slices at the level of the caudate lobe were manually exported for DTL analysis. Data were randomly split into training, validation, and test sets (70%/15%/15%). A ResNet50 convolutional neural network (CNN) pre-trained on the ImageNet archive was used for cirrhosis detection with and without upstream liver segmentation. Classification performance for detection of liver cirrhosis was compared to two radiologists with different levels of experience (4th-year resident, board-certified radiologist). Segmentation was performed using a U-Net architecture built on a pre-trained ResNet34 encoder. Differences in classification accuracy were assessed by the χ2-test. Results Dice coefficients for automatic segmentation were above 0.98 for both validation and test data. The classification accuracy of liver cirrhosis on validation (vACC) and test (tACC) data for the DTL pipeline with upstream liver segmentation (vACC = 0.99, tACC = 0.96) was significantly higher compared to the resident (vACC = 0.88, p < 0.01; tACC = 0.91, p = 0.01) and to the board-certified radiologist (vACC = 0.96, p < 0.01; tACC = 0.90, p < 0.01). Conclusion This proof-of-principle study demonstrates the potential of DTL for detecting cirrhosis based on standard T2-weighted MRI. The presented method for image-based diagnosis of liver cirrhosis demonstrated expert-level classification accuracy. Key Points • A pipeline consisting of two convolutional neural networks (CNNs) pre-trained on an extensive natural image database (ImageNet archive) enables detection of liver cirrhosis on standard T2-weighted MRI. • High classification accuracy can be achieved even without altering the pre-trained parameters of the convolutional neural networks. • Other abdominal structures apart from the liver were relevant for detection when the network was trained on unsegmented images. Supplementary Information The online version contains supplementary material available at 10.1007/s00330-021-07858-1.
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Affiliation(s)
- Sebastian Nowak
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn (Universitätsklinikum Bonn), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Narine Mesropyan
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn (Universitätsklinikum Bonn), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn (Universitätsklinikum Bonn), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Wolfgang Block
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn (Universitätsklinikum Bonn), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Martin Reuter
- Image Analysis, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Ulrike I Attenberger
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn (Universitätsklinikum Bonn), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn (Universitätsklinikum Bonn), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Alois M Sprinkart
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn (Universitätsklinikum Bonn), Venusberg-Campus 1, 53127, Bonn, Germany.
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17
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Mesropyan N, Kupczyk P, Kukuk GM, Dold L, Weismueller T, Endler C, Isaak A, Faron A, Sprinkart AM, Pieper CC, Kuetting D, Strassburg CP, Attenberger UI, Luetkens JA. Diagnostic value of magnetic resonance parametric mapping for non-invasive assessment of liver fibrosis in patients with primary sclerosing cholangitis. BMC Med Imaging 2021; 21:65. [PMID: 33827475 PMCID: PMC8028226 DOI: 10.1186/s12880-021-00598-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Accepted: 03/24/2021] [Indexed: 12/12/2022] Open
Abstract
Background Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease, characterized by bile duct inflammation and destruction, leading to biliary fibrosis and cirrhosis. The purpose of this study was to investigate the utility of T1 and T2 mapping parameters, including extracellular volume fraction (ECV) for non-invasive assessment of fibrosis severity in patients with PSC. Methods In this prospective study, patients with PSC diagnosis were consecutively enrolled from January 2019 to July 2020 and underwent liver MRI. Besides morphological sequences, MR elastography (MRE), and T1 and T2 mapping were performed. ECV was calculated from T1 relaxation times. The presence of significant fibrosis (≥ F2) was defined as MRE-derived liver stiffness ≥ 3.66 kPa and used as the reference standard, against which the diagnostic performance of MRI mapping parameters was tested. Student t test, ROC analysis and Pearson correlation were used for statistical analysis. Results 32 patients with PSC (age range 19–77 years) were analyzed. Both, hepatic native T1 (r = 0.66; P < 0.001) and ECV (r = 0.69; P < 0.001) correlated with MRE-derived liver stiffness. To diagnose significant fibrosis (≥ F2), ECV revealed a sensitivity of 84.2% (95% confidence interval (CI) 62.4–94.5%) and a specificity of 84.6% (CI 57.8–95.7%); hepatic native T1 revealed a sensitivity of 52.6% (CI 31.7–72.7%) and a specificity of 100.0% (CI 77.2–100.0%). Hepatic ECV (area under the curve (AUC) 0.858) and native T1 (AUC 0.711) had an equal or higher diagnostic performance for the assessment of significant fibrosis compared to serologic fibrosis scores (APRI (AUC 0.787), FIB-4 (AUC 0.588), AAR (0.570)). Conclusions Hepatic T1 and ECV can diagnose significant fibrosis in patients with PSC. Quantitative mapping has the potential to be a new non-invasive biomarker for liver fibrosis assessment and quantification in PSC patients.
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Affiliation(s)
- Narine Mesropyan
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Patrick Kupczyk
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Guido M Kukuk
- Department of Radiology, Kantonsspital Graubünden, Chur, Switzerland
| | - Leona Dold
- Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Tobias Weismueller
- Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Christoph Endler
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Alexander Isaak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Alois M Sprinkart
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Claus C Pieper
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Daniel Kuetting
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Christian P Strassburg
- Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Ulrike I Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
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18
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Schmeel FC, Enkirch SJ, Luetkens JA, Faron A, Lehnen N, Sprinkart AM, Schmeel LC, Radbruch A, Attenberger U, Kukuk GM, Mürtz P. Diagnostic Accuracy of Quantitative Imaging Biomarkers in the Differentiation of Benign and Malignant Vertebral Lesions : Combination of Diffusion-Weighted and Proton Density Fat Fraction Spine MRI. Clin Neuroradiol 2021; 31:1059-1070. [PMID: 33787957 PMCID: PMC8648653 DOI: 10.1007/s00062-021-01009-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 02/26/2021] [Indexed: 11/30/2022]
Abstract
Purpose To compare and combine the diagnostic performance of the apparent diffusion coefficient (ADC) derived from diffusion-weighted imaging (DWI) and proton density fat fraction (PDFF) derived from chemical-shift encoding (CSE)-based water-fat magnetic resonance imaging (MRI) for distinguishing benign and malignant vertebral bone marrow lesions (VBML). Methods A total of 55 consecutive patients with 53 benign (traumatic, inflammatory and primary) and 36 malignant (metastatic and hematologic) previously untreated VBMLs were prospectively enrolled in this IRB-approved study and underwent sagittal DWI (single-shot spin-echo echo-planar with multi-slice short TI inversion recovery fat suppression) and CSE-based MRI (gradient-echo 6‑point modified Dixon) in addition to routine clinical spine MRI at 1.5 T or 3.0 T. Diagnostic reference standard was established according to histopathology or imaging follow-up. The ADC = ADC (0, 800) and PDFF = fat / (water + fat) were calculated voxel-wise and examined for differences between benign and malignant lesions. Results The ADC and PDFF values of malignant lesions were significantly lower compared to benign lesions (mean ADC 861 × 10−6 mm2/s vs. 1323 × 10−6 mm2/s, p < 0.001; mean PDFF 3.1% vs. 28.2%, p < 0.001). The areas under the curve (AUC) and diagnostic accuracies were 0.847 (p < 0.001) and 85.4% (cut-off at 1084.4 × 10−6 mm2/s) for ADC and 0.940 (p < 0.001) and 89.9% for PDFF (cut-off at 7.8%), respectively. The combined use of ADC and PDFF improved the diagnostic accuracy to 96.6% (malignancy if ADC ≤ 1118.2 × 10−6 mm2/s and PDFF ≤ 20.0%, otherwise benign). Conclusion Quantitative evaluation of both ADC and PDFF was useful in differentiating benign VBMLs from malignancy. The combination of ADC and PDFF improved the diagnostic performance and yielded high diagnostic accuracy for the differentiation of benign and malignant VBMLs.
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Affiliation(s)
- Frederic Carsten Schmeel
- Department of Neuroradiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127, Bonn, Germany. .,Research Group Clinical Neuroimaging, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany.
| | - Simon Jonas Enkirch
- Department of Neuroradiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Julian Alexander Luetkens
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Anton Faron
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Nils Lehnen
- Department of Neuroradiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Research Group Clinical Neuroimaging, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Alois Martin Sprinkart
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Leonard Christopher Schmeel
- Department of Radiotherapy and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Alexander Radbruch
- Department of Neuroradiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Research Group Clinical Neuroimaging, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Ulrike Attenberger
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Guido Matthias Kukuk
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.,Department of Radiology, Cantonal Hospital Graubuenden, Chur, Switzerland
| | - Petra Mürtz
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
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19
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Kuetting D, Luetkens J, Faron A, Isaak A, Attenberger U, Pieper CC, Meffert L, Jansen C, Sprinkart A, Kütting F. Evaluation of malignant effusions using MR-based T1 mapping. Sci Rep 2021; 11:7116. [PMID: 33782528 PMCID: PMC8007641 DOI: 10.1038/s41598-021-86632-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 03/12/2021] [Indexed: 11/22/2022] Open
Abstract
Our aim was to investigate the diagnostic yield of rapid T1-mapping for the differentiation of malignant and non-malignant effusions in an ex-vivo set up. T1-mapping was performed with a fast modified Look-Locker inversion-recovery (MOLLI) acquisition and a combined turbo spin-echo and inversion-recovery sequence (TMIX) as reference. A total of 13 titrated albumin-solutions as well as 48 samples (29 ascites/pleural effusions from patients with malignancy; 19 from patients without malignancy) were examined. Samples were classified as malignant-positive histology, malignant-negative histology and non-malignant negative histology. In phantom analysis both mapping techniques correlated with albumin-content (MOLLI: r = − 0.97, TMIX: r = − 0.98). MOLLI T1 relaxation times were shorter in malignancy-positive histology fluids (2237 ± 137 ms) than in malignancy-negative histology fluids (2423 ± 357 ms) as well as than in non-malignant-negative histology fluids (2651 ± 139 ms); post hoc test for all intergroup comparisons: < 0.05. ROC analysis for differentiation between malignant and non-malignant effusions (malignant positive histology vs. all other) showed an (AUC) of 0.89 (95% CI 0.77–0.96). T1 mapping allows for non-invasive differentiation of malignant and non-malignant effusions in an ex-vivo set up.
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Affiliation(s)
- D Kuetting
- Department of Diagnostic and Interventional Radiology, University of Bonn, Venusberg Campus 1, 53105, Bonn, Germany.
| | - J Luetkens
- Department of Diagnostic and Interventional Radiology, University of Bonn, Venusberg Campus 1, 53105, Bonn, Germany
| | - A Faron
- Department of Diagnostic and Interventional Radiology, University of Bonn, Venusberg Campus 1, 53105, Bonn, Germany
| | - A Isaak
- Department of Diagnostic and Interventional Radiology, University of Bonn, Venusberg Campus 1, 53105, Bonn, Germany
| | - U Attenberger
- Department of Diagnostic and Interventional Radiology, University of Bonn, Venusberg Campus 1, 53105, Bonn, Germany
| | - C C Pieper
- Department of Diagnostic and Interventional Radiology, University of Bonn, Venusberg Campus 1, 53105, Bonn, Germany
| | - L Meffert
- Department of Internal Medicine III; Center of Integrated Oncology (CIO) Cologne-Bonn, University of Bonn, Bonn, Germany
| | - C Jansen
- Department of Internal Medicine I, University of Bonn, Bonn, Germany
| | - A Sprinkart
- Department of Diagnostic and Interventional Radiology, University of Bonn, Venusberg Campus 1, 53105, Bonn, Germany
| | - F Kütting
- Clinic for Gastroenterology and Hepatology, University of Cologne, Cologne, Germany
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20
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Luetkens JA, Isaak A, Öztürk C, Mesropyan N, Monin M, Schlabe S, Reinert M, Faron A, Heine A, Velten M, Dabir D, Boesecke C, Strassburg CP, Attenberger U, Zimmer S, Duerr GD, Nattermann J. Cardiac MRI in Suspected Acute COVID-19 Myocarditis. Radiol Cardiothorac Imaging 2021; 3:e200628. [PMID: 33969316 PMCID: PMC8098091 DOI: 10.1148/ryct.2021200628] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Keywords: COVID-19; coronavirus; myocarditis; cardiac MRI; T1 mapping; T2 mapping
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Affiliation(s)
- Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Alexander Isaak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Can Öztürk
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Narine Mesropyan
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Malte Monin
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Sefan Schlabe
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Matthäus Reinert
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Annkristin Heine
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Markus Velten
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Darius Dabir
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Christoph Boesecke
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Christian P Strassburg
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Ulrike Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Sebastian Zimmer
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Georg D Duerr
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
| | - Jacob Nattermann
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (J.A.L., A.I., N.M., M.R., A.F., D.D., U.A.); Quantitative Imaging Lab Bonn (QILaB) (J.A.L., A.I., N.M., M.R., A.F., D.D.); Department of Internal Medicine II - Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (C.O., S.Z.); Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.M., S.S., C.B., C.P.S., J.N.); Department of Internal Medicine III-Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (A.H.); Department of Anesthesiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (M.V.); Department of Cardiac Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany (G.D.D.)
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Endler CHJ, Faron A, Isaak A, Katemann C, Mesropyan N, Kupczyk PA, Pieper CC, Kuetting D, Hadizadeh DR, Attenberger UI, Luetkens JA. Fast 3D Isotropic Proton Density-Weighted Fat-Saturated MRI of the Knee at 1.5 T with Compressed Sensing: Comparison with Conventional Multiplanar 2D Sequences. ROFO-FORTSCHR RONTG 2021; 193:813-821. [PMID: 33535259 DOI: 10.1055/a-1337-3351] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
PURPOSE Compressed sensing (CS) is a method to accelerate MRI acquisition by acquiring less data through undersampling of k-space. In this prospective study we aimed to evaluate whether a three-dimensional (3D) isotropic proton density-weighted fat saturated sequence (PDwFS) with CS can replace conventional multidirectional two-dimensional (2D) sequences at 1.5 Tesla. MATERIALS AND METHODS 20 patients (45.2 ± 20.2 years; 10 women) with suspected internal knee damage received a 3D PDwFS with CS acceleration factor 8 (acquisition time: 4:11 min) in addition to standard three-plane 2D PDwFS sequences (acquisition time: 4:05 min + 3:03 min + 4:46 min = 11:54 min) at 1.5 Tesla. Scores for homogeneity of fat saturation, image sharpness, and artifacts were rated by two board-certified radiologists on the basis of 5-point Likert scales. Based on these ratings, an overall image quality score was generated. Additionally, quantitative contrast ratios for the menisci (MEN), the anterior (ACL) and the posterior cruciate ligament (PCL) in comparison with the popliteus muscle were calculated. RESULTS The overall image quality was rated superior in 3D PDwFS compared to 2D PDwFS sequences (14.45 ± 0.83 vs. 12.85 ± 0.99; p < 0.01), particularly due to fewer artifacts (4.65 ± 0.67 vs. 3.65 ± 0.49; p < 0.01) and a more homogeneous fat saturation (4.95 ± 0.22 vs. 4.55 ± 0.51; p < 0.01). Scores for image sharpness were comparable (4.80 ± 0.41 vs. 4.65 ± 0.49; p = 0.30). Quantitative contrast ratios for all measured structures were superior in 3D PDwFS (MEN: p < 0.05; ACL: p = 0.06; PCL: p = 0.33). In one case a meniscal tear was only diagnosed using multiplanar reformation of 3D PDwFS, but it would have been missed on standard multiplanar 2D sequences. CONCLUSION An isotropic fat-saturated 3D PD sequence with CS enables fast and high-quality 3D imaging of the knee joint at 1.5 T and may replace conventional multiplanar 2D sequences. Besides faster image acquisition, the 3D sequence provides advantages in small structure imaging by multiplanar reformation. KEY POINTS · 3D PDwFS with compressed sensing enables knee imaging that is three times faster compared to multiplanar 2D sequences. · 3D PDwFS with compressed sensing provides high-quality knee imaging at 1.5 T. · Isotropic 3D sequences provide advantages in small structure imaging by using multiplanar reformations. CITATION FORMAT · Endler CH, Faron A, Isaak A et al. Fast 3D Isotropic Proton Density-Weighted Fat-Saturated MRI of the Knee at 1.5 T with Compressed Sensing: Comparison with Conventional Multiplanar 2D Sequences. Fortschr Röntgenstr 2021; 193: 813 - 821.
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Affiliation(s)
- Christoph H-J Endler
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Alexander Isaak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | | | - Narine Mesropyan
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Patrick A Kupczyk
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Claus C Pieper
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany
| | - Daniel Kuetting
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
| | - Dariusch R Hadizadeh
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany
| | - Ulrike I Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Germany
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22
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Isaak A, Bischoff LM, Faron A, Endler C, Mesropyan N, Sprinkart AM, Pieper CC, Kuetting D, Dabir D, Attenberger U, Luetkens JA. Multiparametric cardiac magnetic resonance imaging in pediatric and adolescent patients with acute myocarditis. Pediatr Radiol 2021; 51:2470-2480. [PMID: 34435226 PMCID: PMC8599260 DOI: 10.1007/s00247-021-05169-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 05/10/2021] [Accepted: 07/31/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND The diagnostic value of cardiac magnetic resonance imaging (MRI) employing the 2018 Lake Louise criteria in pediatric and adolescent patients with acute myocarditis is undefined. OBJECTIVE To evaluate the diagnostic value of the Lake Louise criteria in pediatric and adolescent patients with suspected acute myocarditis and to show the utility of cardiac MRI for follow-up in this patient cohort. MATERIALS AND METHODS Forty-three patients (age range: 8-21 years) with suspected acute myocarditis and 13 control patients who underwent cardiac MRI were retrospectively analyzed. T2-weighted and late gadolinium enhancement imaging were performed in all patients. T1 and T2 mapping were available in 26/43 patients (60%). The Lake Louise criteria were assessed. In 27/43 patients (63%), cardiac MRI follow-up was available. Receiver operating characteristic analysis, Pearson's correlation coefficient and paired Student's t-test were used for statistical analysis. RESULTS In the total cohort, the Lake Louise criteria achieved a sensitivity of 86% (95% confidence interval [CI]: 72-95%) and a specificity of 100% (95% CI: 79-100%) for the diagnosis of acute myocarditis. In the subgroup of patients with available mapping parameters, the diagnostic performance of the Lake Louise criteria was higher when mapping parameters were implemented into the score (area under the receiver operating characteristic curve: 0.944 vs. 0.870; P=0.033). T2 relaxation times were higher in patients with admission to the intermediate care unit and were associated with the length of intermediate care unit stay (r=0.879, P=0.049). Cardiac MRI markers of active inflammation decreased on follow-up examinations (e.g., T1 relaxation times: 1,032±39 ms vs. 975±33 ms, P<0.001; T2 relaxation times: 58±5 ms vs. 54±5 ms, P=0.003). CONCLUSION The Lake Louise criteria have a high diagnostic performance for the diagnosis of acute myocarditis and are a valuable tool for follow-up in pediatric and adolescent patients. The mapping techniques enhance the diagnostic performance of the 2018 Lake Louise criteria.
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Affiliation(s)
- Alexander Isaak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany
| | - Leon M. Bischoff
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany
| | - Christoph Endler
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany
| | - Narine Mesropyan
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany
| | - Alois M. Sprinkart
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany
| | - Claus C. Pieper
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Daniel Kuetting
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany
| | - Darius Dabir
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany
| | - Ulrike Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Julian A. Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany
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23
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Mesropyan N, Isaak A, Faron A, Praktiknjo M, Jansen C, Kuetting D, Meyer C, Pieper CC, Sprinkart AM, Chang J, Maedler B, Thomas D, Kupczyk P, Attenberger U, Luetkens JA. Magnetic resonance parametric mapping of the spleen for non-invasive assessment of portal hypertension. Eur Radiol 2021; 31:85-93. [PMID: 32749584 PMCID: PMC7755629 DOI: 10.1007/s00330-020-07080-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 06/25/2020] [Accepted: 07/16/2020] [Indexed: 11/03/2022]
Abstract
OBJECTIVES In patients with advanced liver disease, portal hypertension is an important risk factor, leading to complications such as esophageal variceal bleeding, ascites, and hepatic encephalopathy. This study aimed to determine the diagnostic value of T1 and T2 mapping and extracellular volume fraction (ECV) for the non-invasive assessment of portal hypertension. METHODS In this prospective study, 50 participants (33 patients with indication for trans-jugular intrahepatic portosystemic shunt (TIPS) and 17 healthy volunteers) underwent MRI. The derivation and validation cohorts included 40 and 10 participants, respectively. T1 and T2 relaxation times and ECV of the liver and the spleen were assessed using quantitative mapping techniques. Direct hepatic venous pressure gradient (HVPG) and portal pressure measurements were performed during TIPS procedure. ROC analysis was performed to compare diagnostic performance. RESULTS Splenic ECV correlated with portal pressure (r = 0.72; p < 0.001) and direct HVPG (r = 0.50; p = 0.003). No significant correlations were found between native splenic T1 and T2 relaxation times with portal pressure measurements (p > 0.05, respectively). In the derivation cohort, splenic ECV revealed a perfect diagnostic performance with an AUC of 1.000 for the identification of clinically significant portal hypertension (direct HVPG ≥ 10 mmHg) and outperformed other parameters: hepatic T2 (AUC, 0.731), splenic T2 (AUC, 0.736), and splenic native T1 (AUC, 0.806) (p < 0.05, respectively). The diagnostic performance of mapping parameters was comparable in the validation cohort. CONCLUSION Splenic ECV was associated with portal pressure measurements in patients with advanced liver disease. Future studies should explore the diagnostic value of parametric mapping accross a broader range of pressure values. KEY POINTS • Non-invasive assessment and monitoring of portal hypertension is an area of unmet interest. • Splenic extracellular volume fraction is strongly associated with portal pressure in patients with end-stage liver disease. • Quantitative splenic and hepatic MRI-derived parameters have a potential to become a new non-invasive diagnostic parameter to assess and monitor portal pressure.
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Affiliation(s)
- Narine Mesropyan
- Department of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Alexander Isaak
- Department of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Michael Praktiknjo
- Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Christian Jansen
- Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Daniel Kuetting
- Department of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Carsten Meyer
- Department of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Claus C Pieper
- Department of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Alois M Sprinkart
- Department of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Johannes Chang
- Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Burkhard Maedler
- Philips GmbH Germany, Roentgenstrasse 22, 22335, Hamburg, Germany
| | - Daniel Thomas
- Department of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Patrick Kupczyk
- Department of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Ulrike Attenberger
- Department of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
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24
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Kupczyk PA, Mesropyan N, Isaak A, Endler C, Faron A, Kuetting D, Sprinkart AM, Mädler B, Thomas D, Attenberger UI, Luetkens JA. Quantitative MRI of the liver: Evaluation of extracellular volume fraction and other quantitative parameters in comparison to MR elastography for the assessment of hepatopathy. Magn Reson Imaging 2020; 77:7-13. [PMID: 33309923 DOI: 10.1016/j.mri.2020.12.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 11/27/2020] [Accepted: 12/06/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND Chronic liver diseases pose a major health problem worldwide, while common tests for diagnosis and monitoring of diffuse hepatopathy have considerable limitations. Preliminary data on the quantification of hepatic extracellular volume fraction (ECV) with magnetic resonance imaging (MRI) for non-invasive assessment of liver fibrosis are encouraging, with ECV having the potential to overcome several of these constraints. PURPOSE To clinically evaluate ECV provided by quantitative MRI for assessing the severity of liver disease. MATERIALS AND METHODS In this prospective study, multiparametric liver MRI, including T1 mapping and magnetic resonance elastography (MRE), was performed in subjects with and without hepatopathy between November 2018 and October 2019. T1, T2, T2*, proton density fat fraction and stiffness were extracted from parametric maps by regions of interest and ECV was calculated from T1 relaxometries. Serum markers of liver disease were obtained by clinical database research. For correlation analysis, Spearman rank correlation was used. ROC analysis of serum markers and quantitative MRI data for discrimination of liver cirrhosis was performed with MRE as reference standard. RESULTS 109 participants were enrolled (50.7 ± 16.1 years, 61 men). ECV, T1 and MRE correlated significantly with almost all serum markers of liver disease, with ECV showing the strongest associations (up to r = 0.67 with MELD, p < 0.01). ECV and T1 correlated with MRE (0.75 and 0.73, p < 0.01 each). ECV (AUC 0.89, cutoff 32.2%, sensitivity 85%, specificity 87%) and T1 mapping (AUC 0.85, cutoff 592.5 ms, sensitivity 83%, specificity 75%) featured good performances in detection of liver cirrhosis with only ECV performing significantly superior to model of end stage liver disease (MELD), AST/ALT ratio and international normalized ratio (p < 0.01, respectively). CONCLUSION Quantification of hepatic extracellular volume fraction with MRI is suitable for estimating the severity of liver disease when using MRE as the standard of reference. It represents a promising tool for non-invasive assessment of liver fibrosis and cirrhosis.
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Affiliation(s)
- P A Kupczyk
- University Hospital Bonn, Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany.
| | - N Mesropyan
- University Hospital Bonn, Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
| | - A Isaak
- University Hospital Bonn, Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
| | - C Endler
- University Hospital Bonn, Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
| | - A Faron
- University Hospital Bonn, Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
| | - D Kuetting
- University Hospital Bonn, Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
| | - A M Sprinkart
- University Hospital Bonn, Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
| | - B Mädler
- Philips Healthcare, Hamburg, Germany
| | - D Thomas
- University Hospital Bonn, Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
| | - U I Attenberger
- University Hospital Bonn, Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
| | - J A Luetkens
- University Hospital Bonn, Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany
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25
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Luetkens JA, Voigt M, Faron A, Isaak A, Mesropyan N, Dabir D, Sprinkart AM, Pieper CC, Chang J, Attenberger U, Kuetting D, Thomas D. Influence of hydration status on cardiovascular magnetic resonance myocardial T1 and T2 relaxation time assessment: an intraindividual study in healthy subjects. J Cardiovasc Magn Reson 2020; 22:63. [PMID: 32892751 PMCID: PMC7487526 DOI: 10.1186/s12968-020-00661-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 08/07/2020] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Myocardial native T1 and T2 relaxation time mapping are sensitive to pathological increase of myocardial water content (e.g. myocardial edema). However, the influence of physiological hydration changes as a possible confounder of relaxation time assessment has not been studied. The purpose of this study was to evaluate, whether changes in myocardial water content due to dehydration and hydration might alter myocardial relaxation times in healthy subjects. METHODS A total of 36 cardiovascular magnetic resonance (CMR) scans were performed in 12 healthy subjects (5 men, 25.8 ± 3.2 years). Subjects underwent three successive CMR scans: (1) baseline scan, (2) dehydration scan after 12 h of fasting (no food or water), (3) hydration scan after hydration. CMR scans were performed for the assessment of myocardial native T1 and T2 relaxation times and cardiac function. For multiple comparisons, repeated measures ANOVA or the Friedman test was used. RESULTS There was no change in systolic blood pressure or left ventricular ejection fraction between CMR scans (P > 0.05, respectively). T1 relaxation times were significantly reduced with dehydration (987 ± 27 ms [baseline] vs. 968 ± 29 ms [dehydration] vs. 986 ± 28 ms [hydration]; P = 0.006). Similar results were observed for T2 relaxation times (52.9 ± 1.8 ms [baseline] vs. 51.5 ± 2.0 ms [dehydration] vs. 52.2 ± 1.9 ms [hydration]; P = 0.020). CONCLUSIONS Dehydration may lead to significant alterations in relaxation times and thereby may influence precise, repeatable and comparable assessment of native T1 and T2 relaxation times. Hydration status should be recognized as new potential confounder of native T1 and T2 relaxation time assessment in clinical routine.
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Affiliation(s)
- Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany.
| | - Marilia Voigt
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Alexander Isaak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Narine Mesropyan
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Darius Dabir
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Alois M Sprinkart
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Claus C Pieper
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Johannes Chang
- Department of Internal Medicine I, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Ulrike Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Daniel Kuetting
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
| | - Daniel Thomas
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Bonn, Germany
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Isaak A, Praktiknjo M, Jansen C, Faron A, Sprinkart AM, Pieper CC, Chang J, Fimmers R, Meyer C, Dabir D, Thomas D, Trebicka J, Attenberger U, Kuetting D, Luetkens JA. Myocardial Fibrosis and Inflammation in Liver Cirrhosis: MRI Study of the Liver-Heart Axis. Radiology 2020; 297:51-61. [PMID: 32808886 DOI: 10.1148/radiol.2020201057] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background Cardiac involvement in liver cirrhosis in the absence of underlying cardiac disease is termed cirrhotic cardiomyopathy. The pathophysiology of this condition is still poorly understood. Purpose To investigate the extent of subclinical imaging changes in terms of fibrosis and inflammation and to explore the relationship between the severity of liver disease and the degree of myocardial involvement. Materials and Methods In this prospective study from November 2018 to December 2019, participants with liver cirrhosis and healthy control participants underwent hepatic and cardiac MRI. The multiparametric scan protocol assessed hepatic (T1 and T2 relaxation times, extracellular volume [ECV], and MR elastography-based liver stiffness) and cardiac (T1 and T2 relaxation times, ECV, myocardial edema, late gadolinium enhancement [LGE], and myocardial strain) parameters. Student t tests, one-way analysis of variance, Pearson correlation, and multivariable binary regression analysis were used for statistical analyses. Results A total of 42 participants with liver cirrhosis (mean age ± standard deviation, 57 years ± 11; 23 men) and 18 control participants (mean age, 54 years ± 19; 11 men) were evaluated. Compared with control participants, the participants with liver cirrhosis displayed reduced longitudinal strain and elevated markers of myocardial disease (T1 and T2 relaxation times, ECV, and qualitative and quantitative LGE). Myocardial T1 (978 msec ± 23 vs 1006 msec ± 29 vs 1044 msec ± 14; P < .001) and T2 relaxation times (56 msec ± 4 vs 59 msec ± 3 vs 62 msec ± 8; P = .04) and ECV (30% ± 5 vs 33% ± 5 vs 38% ± 7; P = .009) were higher depending on Child-Pugh class (A vs B vs C). Positive LGE lesions (three of 11 [27%] vs 10 of 19 [53%] vs nine of 11 [82%]; P = .04) were more prevalent in advanced Child-Pugh classes. MR elastography-based liver stiffness was an independent predictor for LGE (odds ratio, 1.6; 95% confidence interval: 1.2%, 2.1%; P = .004) and correlated with quantitative LGE (r = 0.67; P < .001), myocardial T1 relaxation times (r = 0.55; P < .001), and ECV (r = 0.39; P = .01). Conclusion In participants with liver cirrhosis, systolic dysfunction and elevated parameters of myocardial edema and fibrosis were observed at MRI, which were more abnormal with greater severity of liver disease. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by de Roos and Lamb in this issue.
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Affiliation(s)
- Alexander Isaak
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Michael Praktiknjo
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Christian Jansen
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Anton Faron
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Alois M Sprinkart
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Claus C Pieper
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Johannes Chang
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Rolf Fimmers
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Carsten Meyer
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Darius Dabir
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Daniel Thomas
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Jonel Trebicka
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Ulrike Attenberger
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Daniel Kuetting
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
| | - Julian A Luetkens
- From the Departments of Radiology (A.I., A.F., A.M.S., C.C.P., C.M., D.D., D.T., U.A., D.K., J.A.L.) and Internal Medicine I (M.P., C.J., J.C.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Quantitative Imaging Laboratory Bonn (QILaB), Bonn, Germany (A.I., A.F., A.M.S., D.D., D.T., D.K., J.A.L.); Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University of Bonn, Bonn, Germany (R.F.); Department of Internal Medicine 1, University Hospital Frankfurt, Frankfurt am Main, Germany (J.T.)
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Kuetting F, Sprinkart AM, Faron A, Meffert L, Jansen C, Luetkens J, Attenberger U, Kuetting D. Identification of malignant ascites using MR-based T1 mapping. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.e16719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e16719 Background: Non-invasive identification of malignant ascites is a challenge in clinical practice.Thus, we decided to assess if an MR-based T1 mapping approach allows non-invasive differentiation of malignant and non-malignant effusions. Methods: In-vitro and ex-vivo MR-examinations were performed on a clinical 1.5T MR-system. T1 mapping was performed with spectroscopy and an adapted modified Look-Locker inversion-recovery (MOLLI) acquisition. For in-vitro experiments 13 titrated solutions with varying albumin content (0 to 200 g/l) were examined. For ex-vivo evaluation 27 ascites/pleural effusion samples from patients with malignancy (19 with histologic tumor confirmation in effusion) and 18 samples from patients without malignancy were examined. All samples underwent histological and laboratory testing. Samples were classified as malignant-positive histology, malignant-negative histology and non-malignant negative histology. Lab values were correlated with T1 maps and receiver operating characteristic (ROC) analysis was used to determine the optimal T1-value threshold to differentiate malignant and non-malignant ascites. Results: In in-vitro analysis both methods showed a high correlation with albumin-content (MOLLI: r = -0.97; Spectroscopy: -0.98). T1-values derived from the reference standard (Spectroscopy) and the MOLLI technique had a high agreement (intraclass correlation single measures: 0,9889, 95% CI: 0,52 to 0,99; average measures: 9,994, 95% CI 0,69 to 0,99). Bland-Altman analysis showed a strong agreement between both methods: 62.5 ± 35 (95% CI: 41.2 to 83.8) Ex-vivo analysis revealed significant differences between T1 values from patients with malignant+ histology (median: 2237; IQR: 2132 to 2327.5) and patients with non malignant- negative histology (median: 2611; IQR: 2548 to 2803, p < 0.0001) as well as between malignant+ histology and all other included patients (median: 2585; IQR: 2503 to 2710, p < 0.0001) Multiple regression analysis of in-vivo results revealed that only albumin content correlated with MOLLI based T1 measurements (p < 0.0001; r = -0.65) ROC analysis for differentiation between malignant and non-malignant effusions (malignant+ histology vs. all other) showed an AUC of 0.897; 95% CI: 0.769 to 0.967). Malignant+ histology vs. non-malignant- histology showed an AUC of 1.000 (cut off Lolli > 2419; 95% CI: 0.905 to 1). Conclusions: T1 Mapping shows excellent correlation with protein content of fluids.MR- T1 mapping allows for non-invasive differentiation of malignant and non-malignant effusions in an ex-vivo set up.
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Affiliation(s)
- Fabian Kuetting
- University Hospital Cologne-Department of Gastroenterology and Hepatology, Cologne, Germany
| | | | - Anton Faron
- University Hospital Bonn-Department of Radiology, Bonn, Germany
| | - Lisa Meffert
- University Hospital Bonn-Department of Oncology, Bonn, Germany
| | - Christian Jansen
- University Hospital Bonn-Department of Gastroenterology, Bonn, Germany
| | - Julian Luetkens
- University Hospital Bonn-Department of Radiology, Bonn, Germany
| | | | - Daniel Kuetting
- University Hospital Bonn-Department of Radiology, Bonn, Germany
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Kuetting D, Luetkens J, Wolter K, Faron A, Kania A, Thomas D. Catheter-Directed Thrombectomy for Highly Symptomatic Patients with Iliofemoral Deep Venous Thrombosis not Responsive to Conservative Treatment. Cardiovasc Intervent Radiol 2020; 43:556-564. [PMID: 31974743 DOI: 10.1007/s00270-020-02415-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 01/09/2020] [Indexed: 01/04/2023]
Abstract
PURPOSE The use of pharmacomechanical thrombectomy in patients with symptomatic iliofemoral deep venous thrombosis (DVT) not responsive to conservative treatment is under-investigated until now. This prompted us to review and analyze our results (technical/clinical outcome, complications) and compare them to the current literature. MATERIALS AND METHODS Between 2013 and 2019, 19 patients (14 women and 5 men; mean age: 41.2 years, SD: 18.2) with iliofemoral DVT and excessive pain not responsive to conservative treatment were treated with pharmacomechanical thrombectomy. Patients were followed up for 12 months. Demographics, technical success and clinical outcome data (pain score/Villalta score) were collected. RESULTS Thrombectomy ± thrombolysis was successful in all cases (n = 19). No major complications were observed. Eight out of nineteen cases developed hematoma at the sheath insertion site not requiring further treatment. Seven out of nineteen cases required additional continuous lysis for complete iliofemoral clot solution. All patients received balloon angioplasty to treat post-thrombotic strictures. In 16/19 cases, stents were placed to preserve iliofemoral caliber and maintain unrestricted iliac venous outflow. Three patients (16%) required re-intervention due to re-thrombosis or in-stent stenosis after 4, 14 days and 4 months, respectively. Symptoms could be improved temporarily or indefinitely in 19 out of 19 patients. 1 year following thrombectomy mean pain score was reduced by 87%, mean Villalta score was 2.6 (SD: 4), and iliofemoral veins were patent in 15/17 patients. CONCLUSION In symptomatic patients with iliofemoral DVT, refractory to conservative treatment, catheter-directed thrombectomy enables rapid and long-lasting pain relief. High patency rates can be achieved in patients receiving PTA and venous stenting post-thrombectomy.
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Affiliation(s)
- Daniel Kuetting
- Department of Radiology, University of Bonn, Venusberg Campus 1, 53127, Bonn, Germany.
| | - Julian Luetkens
- Department of Radiology, University of Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Karsten Wolter
- Department of Radiology, University of Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Anton Faron
- Department of Radiology, University of Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | | | - Daniel Thomas
- Department of Radiology, University of Bonn, Venusberg Campus 1, 53127, Bonn, Germany
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Luetkens JA, Faron A, Geissler HL, Al-Kassou B, Shamekhi J, Stundl A, Sprinkart AM, Meyer C, Fimmers R, Treede H, Grube E, Nickenig G, Sinning JM, Thomas D. Opportunistic Computed Tomography Imaging for the Assessment of Fatty Muscle Fraction Predicts Outcome in Patients Undergoing Transcatheter Aortic Valve Replacement. Circulation 2020; 141:234-236. [PMID: 31958246 DOI: 10.1161/circulationaha.119.042927] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Julian A Luetkens
- University Hospital Bonn, Department of Radiology (J.A.L, A.F., H.L.G., A.M.S., C.M., D.T.), Bonn, Germany
| | - Anton Faron
- University Hospital Bonn, Department of Radiology (J.A.L, A.F., H.L.G., A.M.S., C.M., D.T.), Bonn, Germany
| | - Helena L Geissler
- University Hospital Bonn, Department of Radiology (J.A.L, A.F., H.L.G., A.M.S., C.M., D.T.), Bonn, Germany
| | - Baravan Al-Kassou
- Department of Internal Medicine II (B.A.K., J.S., A.S., E.G., G.N., J.M.S.), Bonn, Germany
| | - Jasmin Shamekhi
- Department of Internal Medicine II (B.A.K., J.S., A.S., E.G., G.N., J.M.S.), Bonn, Germany
| | - Anja Stundl
- Department of Internal Medicine II (B.A.K., J.S., A.S., E.G., G.N., J.M.S.), Bonn, Germany
| | - Alois M Sprinkart
- University Hospital Bonn, Department of Radiology (J.A.L, A.F., H.L.G., A.M.S., C.M., D.T.), Bonn, Germany
| | - Carsten Meyer
- University Hospital Bonn, Department of Radiology (J.A.L, A.F., H.L.G., A.M.S., C.M., D.T.), Bonn, Germany
| | - Rolf Fimmers
- Department of Medical Biometry, Informatics, and Epidemiology (R.F.), Bonn, Germany
| | - Hendrik Treede
- Department of Cardio-Thoracic Surgery (H.T.), Bonn, Germany
| | - Eberhard Grube
- Department of Internal Medicine II (B.A.K., J.S., A.S., E.G., G.N., J.M.S.), Bonn, Germany
| | - Georg Nickenig
- Department of Internal Medicine II (B.A.K., J.S., A.S., E.G., G.N., J.M.S.), Bonn, Germany
| | - Jan-Malte Sinning
- Department of Internal Medicine II (B.A.K., J.S., A.S., E.G., G.N., J.M.S.), Bonn, Germany
| | - Daniel Thomas
- University Hospital Bonn, Department of Radiology (J.A.L, A.F., H.L.G., A.M.S., C.M., D.T.), Bonn, Germany
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Heim N, Götz W, Kramer FJ, Faron A. Antiresorptive drug-related changes of the mandibular bone densitiy in medication-related osteonecrosis of the jaw patients. Dentomaxillofac Radiol 2019; 48:20190132. [PMID: 31530019 DOI: 10.1259/dmfr.20190132] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVES Medication-related osteonecrosis of the jaw (MRONJ) is a well known side-effect of anti-resorptive drugs. Changes in bone density might potentially constitute the development of ONJ. This study aimed to investigate, to which degree bisphosphonates (bp) and denosumab (db) induce changes in bone density that can be determined from routine diagnostic CT. METHODS CT scans of 101 patients were investigated. MRONJ was present in 61 patients (n = 26: db-treated; n = 35 bp-treated). 40 patients were included as a reference group. Bone density was measured at two distinct locations in the mandible (M1: anterior of the mental foramen; M2: retromolar), each on the contralateral side to the necrosis. RESULTS The bone density values measured at both locations were found to be significantly higher in the bp-group compared to the db-group (p = 0.027) and to the reference-group (p = 0.016). Almost no difference (p = 0.84) in bone density value was found between the db- and reference-groups.Investigating the effect of duration of treatment, none of the measured values showed significant differences in both locations of db- and bp-group. CONCLUSION The findings from this study suggest that that bisphosphonates change the microarchitecture of the alveolar bone by being embedded in the mandible, which may subsequently lead to a bp-specific corticalization, and a decrease in vascularization of the lower jaw. This process may be distinctive for bp-treatment and seems to induce the congestion of cancellous bone rather rapidly after the first administrations. This effect could not be determined in denosumab-treated patients.
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Affiliation(s)
- Nils Heim
- Department for Oral & Cranio-Maxillo and Facial Plastic Surgery, University Clinic Bonn Germany Sigmund-Freud-Str. 25 Haus 11, 2. Obergeschoss 53127 Bonn, Bonn, Germany
| | - Werner Götz
- University of Bonn, Department of Orthodontics, Dental Hospital of the University of Bonn, Head of the Oral Biology Laboratory, Bonn, Germany
| | - Franz-Josef Kramer
- Department for Oral & Cranio-Maxillo and Facial Plastic Surgery, University Clinic Bonn Germany Sigmund-Freud-Str. 25 Haus 11, 2. Obergeschoss 53127 Bonn, Bonn, Germany
| | - Anton Faron
- University of Bonn, Department for Radiology, Bonn, Germany
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Luetkens JA, Faron A, Isaak A, Dabir D, Kuetting D, Feisst A, Schmeel FC, Sprinkart AM, Thomas D. Comparison of Original and 2018 Lake Louise Criteria for Diagnosis of Acute Myocarditis: Results of a Validation Cohort. Radiol Cardiothorac Imaging 2019; 1:e190010. [PMID: 33778510 PMCID: PMC7978026 DOI: 10.1148/ryct.2019190010] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 05/08/2019] [Accepted: 05/14/2019] [Indexed: 05/02/2023]
Abstract
PURPOSE To compare the diagnostic performance of the original Lake Louise criteria (LLC) and the 2018 LLC for the diagnosis of acute myocarditis and simultaneously validate previously reported cutoff values for parametric mapping techniques. MATERIALS AND METHODS A total of 40 patients with acute myocarditis and 26 control participants underwent cardiac MRI. Cardiac MRI protocol allowed for assessment of T2 signal intensity ratio, early gadolinium enhancement ratio, late gadolinium enhancement, T1 relaxation times, extracellular volume fraction, and T2 relaxation times. The original and the 2018 LLC were assessed, and differences between sensitivities and specificities were calculated with the McNemar test. RESULTS The 2018 LLC yielded a sensitivity of 87.5% (95% confidence interval [CI]: 73.9%, 94.5%) and a specificity of 96.2% (95% CI: 81.1%, 99.3%). The original LLC had a sensitivity of 72.5% (95% CI: 57.2%, 83.9%) and a specificity of 96.2% (95% CI: 81.1%, 99.3%). Sensitivity of the 2018 LLC was significantly higher compared with the sensitivity of original LLC (P = .031). No differences in specificity were observed between both scores (P = .999). CONCLUSION Multiparametric cardiac MRI has a high diagnostic value for the diagnosis of patients clinically suspected of having acute myocarditis. The 2018 LLC further improve the diagnostic performance of cardiac MRI by increasing its sensitivity. An implementation of the new score into routine diagnostic protocols should be considered.© RSNA, 2019See also the commentary by Gutberlet and Lücke in this issue.Supplemental material is available for this article.
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Faron A, Sichtermann T, Teichert N, Luetkens JA, Keulers A, Nikoubashman O, Freiherr J, Mpotsaris A, Wiesmann M. Performance of a Deep-Learning Neural Network to Detect Intracranial Aneurysms from 3D TOF-MRA Compared to Human Readers. Clin Neuroradiol 2019; 30:591-598. [PMID: 31227844 DOI: 10.1007/s00062-019-00809-w] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 06/07/2019] [Indexed: 01/23/2023]
Abstract
PURPOSE To study the clinical potential of a deep learning neural network (convolutional neural networks [CNN]) as a supportive tool for detection of intracranial aneurysms from 3D time-of-flight magnetic resonance angiography (TOF-MRA) by comparing the diagnostic performance to that of human readers. METHODS In this retrospective study a pipeline for detection of intracranial aneurysms from clinical TOF-MRA was established based on the framework DeepMedic. Datasets of 85 consecutive patients served as ground truth and were used to train and evaluate the model. The ground truth without annotation was presented to two blinded human readers with different levels of experience in diagnostic neuroradiology (reader 1: 2 years, reader 2: 12 years). Diagnostic performance of human readers and the CNN was studied and compared using the χ2-test and Fishers' exact test. RESULTS Ground truth consisted of 115 aneurysms with a mean diameter of 7 mm (range: 2-37 mm). Aneurysms were categorized as small (S; <3 mm; N = 13), medium (M; 3-7 mm; N = 57), and large (L; >7 mm; N = 45) based on the diameter. No statistically significant differences in terms of overall sensitivity (OS) were observed between the CNN and both of the human readers (reader 1 vs. CNN, P = 0.141; reader 2 vs. CNN, P = 0.231). The OS of both human readers was improved by combination of each readers' individual detections with the detections of the CNN (reader 1: 98% vs. 95%, P = 0.280; reader 2: 97% vs. 94%, P = 0.333). CONCLUSION A CNN is able to detect intracranial aneurysms from clinical TOF-MRA data with a sensitivity comparable to that of expert radiologists and may have the potential to improve detection rates of incidental findings in a clinical setting.
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Affiliation(s)
- Anton Faron
- Department of Radiology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
- Department of Diagnostic and Interventional Neuroradiology, University Hospital RWTH Aachen, Aachen, Germany.
| | - Thorsten Sichtermann
- Department of Diagnostic and Interventional Neuroradiology, University Hospital RWTH Aachen, Aachen, Germany
| | - Nikolas Teichert
- Department of Diagnostic and Interventional Neuroradiology, University Hospital RWTH Aachen, Aachen, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Julian A Luetkens
- Department of Radiology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Annika Keulers
- Department of Diagnostic and Interventional Neuroradiology, University Hospital RWTH Aachen, Aachen, Germany
| | - Omid Nikoubashman
- Department of Diagnostic and Interventional Neuroradiology, University Hospital RWTH Aachen, Aachen, Germany
| | - Jessica Freiherr
- Department of Diagnostic and Interventional Neuroradiology, University Hospital RWTH Aachen, Aachen, Germany
| | - Anastasios Mpotsaris
- Department of Diagnostic and Interventional Neuroradiology, University Hospital RWTH Aachen, Aachen, Germany
| | - Martin Wiesmann
- Department of Diagnostic and Interventional Neuroradiology, University Hospital RWTH Aachen, Aachen, Germany
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Faron A, Thomas D, Luetkens J. Eine seltene Ursache des akuten Thoraxschmerzes: Das Hamman-Syndrom. ROFO-FORTSCHR RONTG 2019; 191:561-563. [DOI: 10.1055/a-0804-2080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Anton Faron
- Department of Radiology, University-Hospital Bonn, Germany
| | - Daniel Thomas
- Department of Radiology, University-Hospital Bonn, Germany
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Luetkens JA, von Landenberg C, Isaak A, Faron A, Kuetting D, Gliem C, Dabir D, Kornblum C, Thomas D. Comprehensive Cardiac Magnetic Resonance for Assessment of Cardiac Involvement in Myotonic Muscular Dystrophy Type 1 and 2 Without Known Cardiovascular Disease. Circ Cardiovasc Imaging 2019; 12:e009100. [PMID: 31137956 DOI: 10.1161/circimaging.119.009100] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Julian A Luetkens
- Department of Radiology (J.A.L., A.I., A.F., D.K., D.D., D.T.), University Hospital Bonn, Germany
| | | | - Alexander Isaak
- Department of Radiology (J.A.L., A.I., A.F., D.K., D.D., D.T.), University Hospital Bonn, Germany
| | - Anton Faron
- Department of Radiology (J.A.L., A.I., A.F., D.K., D.D., D.T.), University Hospital Bonn, Germany
| | - Daniel Kuetting
- Department of Radiology (J.A.L., A.I., A.F., D.K., D.D., D.T.), University Hospital Bonn, Germany
| | - Carla Gliem
- Department of Neurology (C.v.L., C.G., C.K.), University Hospital Bonn, Germany
| | - Darius Dabir
- Department of Radiology (J.A.L., A.I., A.F., D.K., D.D., D.T.), University Hospital Bonn, Germany
| | - Cornelia Kornblum
- Department of Neurology (C.v.L., C.G., C.K.), University Hospital Bonn, Germany.,Center for Rare Diseases Bonn (C.K.), University Hospital Bonn, Germany
| | - Daniel Thomas
- Department of Radiology (J.A.L., A.I., A.F., D.K., D.D., D.T.), University Hospital Bonn, Germany
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Faron A, Luetkens JA, Schmeel FC, Kuetting DL, Thomas D, Sprinkart AM. Quantification of fat and skeletal muscle tissue at abdominal computed tomography: associations between single-slice measurements and total compartment volumes. Abdom Radiol (NY) 2019; 44:1907-1916. [PMID: 30694368 DOI: 10.1007/s00261-019-01912-9] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE Body composition is of great prognostic value in several severe diseases, including different types of cancer as well as cardiometabolic disorders. We aimed to investigate the correlations of skeletal muscle mass and abdominal adipose tissue compartments between volumetric and single-slice measurements to study the usefulness of several anatomical landmarks for estimation of total compartment volumes using abdominal CT-scans. METHODS In this retrospective study volumetric quantifications of paraspinal skeletal muscles (SM) and adipose tissue compartments (visceral adipose tissue, VAT; subcutaneous adipose tissue, SAT) were performed in 50 consecutive patients (26 male; mean age, 63 ± 15 years) who underwent abdominal multislice-CT for diagnostic purposes using an in-house software. Associations between total volumes of SM, VAT, and SAT with single-slice measurements at eight predefined anatomical landmarks (median intervertebral disk spaces T12/L1 to L5/S1; level of the umbilicus (U); level of the radix of the superior mesenteric artery (SMA)) were studied using correlation coefficients. RESULTS Statistical analysis revealed a strong association between single-slice measurements of adipose tissue compartments with total VAT and SAT volume (VAT: all r > 0.89, P < 0.001; SAT: all r > 0.95, P < 0.001). The strongest associations with total SM volume were found for single-slice measurements obtained at L3/4 (r = 0.94, P < 0.001) and were further improved by normalization to height (r = 0.98, P < 0.001). CONCLUSIONS Single-slice measurements of SM, VAT, and SAT at several anatomical landmarks are strongly associated with total compartment volumes and therefore allow for easy and simultaneous assessment of skeletal muscle mass and adipose tissue compartment volumes.
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Schmeel FC, Vomweg T, Träber F, Gerhards A, Enkirch SJ, Faron A, Sprinkart AM, Schmeel LC, Luetkens JA, Thomas D, Kukuk GM. Proton density fat fraction MRI of vertebral bone marrow: Accuracy, repeatability, and reproducibility among readers, field strengths, and imaging platforms. J Magn Reson Imaging 2019; 50:1762-1772. [PMID: 30980694 DOI: 10.1002/jmri.26748] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 04/01/2019] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Chemical shift-encoding based water-fat MRI is an emerging method to noninvasively assess proton density fat fraction (PDFF), a promising quantitative imaging biomarker for estimating tissue fat concentration. However, in vivo validation of PDFF is still lacking for bone marrow applications. PURPOSE To determine the accuracy and precision of MRI-determined vertebral bone marrow PDFF among different readers and across different field strengths and imager manufacturers. STUDY TYPE Repeatability/reproducibility. SUBJECTS Twenty-four adult volunteers underwent lumbar spine MRI with one 1.5T and two different 3.0T MR scanners from two vendors on the same day. FIELD STRENGTH/SEQUENCE 1.5T and 3.0T/3D spoiled-gradient echo multipoint Dixon sequences. ASSESSMENT Two independent readers measured intravertebral PDFF for the three most central slices of the L1-5 vertebral bodies. Single-voxel MR spectroscopy (MRS)-determined PDFF served as the reference standard for PDFF estimation. STATISTICAL TESTS Accuracy and bias were assessed by Pearson correlation, linear regression analysis, and Bland-Altman plots. Repeatability and reproducibility were evaluated by Wilcoxon signed rank test, Friedman test, and coefficients of variation. Intraclass correlation coefficients were used to validate intra- and interreader as well as intraimager agreements. RESULTS MRI-based PDFF estimates of lumbar bone marrow were highly correlated (r2 = 0.899) and accurate (mean bias, -0.6%) against the MRS-determined PDFF reference standard. PDFF showed high linearity (r2 = 0.972-0.978) and small mean bias (0.6-1.5%) with 95% limits of agreement within ±3.4% across field strengths, imaging platforms, and readers. Repeatability and reproducibility of PDFF were high, with the mean overall coefficient of variation being 0.86% and 2.77%, respectively. The overall intraclass correlation coefficient was 0.986 as a measure for an excellent interreader agreement. DATA CONCLUSION MRI-based quantification of vertebral bone marrow PDFF is highly accurate, repeatable, and reproducible among readers, field strengths, and MRI platforms, indicating its robustness as a quantitative imaging biomarker for multicentric studies. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1762-1772.
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Affiliation(s)
- Frederic Carsten Schmeel
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Toni Vomweg
- Radiology Institute Dr. von Essen (DVE), Coblenz, Rhineland-Palatinate (RLP), Germany
| | - Frank Träber
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Arnd Gerhards
- Radiology Institute Dr. von Essen (DVE), Coblenz, Rhineland-Palatinate (RLP), Germany
| | - Simon Jonas Enkirch
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Anton Faron
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Alois Martin Sprinkart
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Leonard Christopher Schmeel
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Julian Alexander Luetkens
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Daniel Thomas
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Guido Matthias Kukuk
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
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Faron A, Pieper CC, Schmeel FC, Sprinkart AM, Kuetting DLR, Fimmers R, Trebicka J, Schild HH, Meyer C, Thomas D, Luetkens JA. Fat-free muscle area measured by magnetic resonance imaging predicts overall survival of patients undergoing radioembolization of colorectal cancer liver metastases. Eur Radiol 2019; 29:4709-4717. [PMID: 30689036 DOI: 10.1007/s00330-018-5976-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 12/05/2018] [Accepted: 12/17/2018] [Indexed: 12/22/2022]
Abstract
OBJECTIVES To investigate the clinical potential of fat-free muscle area (FFMA) to predict outcome in patients with liver-predominant metastatic colorectal cancer (mCRC) undergoing radioembolization (RE) with 90Yttrium microspheres. METHODS Patients with mCRC who underwent RE in our center were included in this retrospective study. All patients received liver magnetic resonance imaging including standard T2-weighted images. The total erector spinae muscle area and the intramuscular adipose tissue area were measured at the level of the origin of the superior mesenteric artery and subtracted to calculate FFMA. Cutoff values for definition of low FFMA were 3644 mm2 in men and 2825 mm2 in women. The main outcome was overall survival (OS). For survival analysis, the Kaplan-Meier method and Cox regressions comparing various clinic-oncological parameters which potentially may affect OS were performed. RESULTS Seventy-seven patients (28 female, mean age 60 ± 11 years) were analyzed. Mean time between MRI and the following RE was 17 ± 31 days. Median OS after RE was 178 days. Patients with low FFMA had significantly shortened OS compared to patients with high FFMA (median OS: 128 vs. 273 days, p = 0.017). On multivariate Cox regression analysis, OS was best predicted by FFMA (hazard ratio (HR) 2.652; p < 0.001). Baseline bilirubin (HR 1.875; p = 0.030), pattern of tumor manifestation (HR 1.679; p = 0.001), and model of endstage liver disease (MELD) score (HR 1.164; p < 0.001) were also significantly associated with OS. CONCLUSIONS FFMA was associated with OS in patients receiving RE for treatment of mCRC and might be a new prognostic biomarker for survival prognosis. KEY POINTS • Fat-free muscle area (FFMA) as a measure of lean muscle area predicts survival in metastatic colorectal liver cancer following radioembolization. • FFMA can easily be assessed from routine pre-interventional liver magnetic resonance imaging. • FFMA might be a new promising biomarker for assessment of sarcopenia.
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Affiliation(s)
- Anton Faron
- Department of Radiology, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Claus C Pieper
- Department of Radiology, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Frederic C Schmeel
- Department of Radiology, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Alois M Sprinkart
- Department of Radiology, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Daniel L R Kuetting
- Department of Radiology, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Rolf Fimmers
- Department of Medical Biometry, Informatics, and Epidemiology, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Jonel Trebicka
- Department of Internal Medicine I, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.,European Foundation for the Study of Chronic Liver Failure, Barcelona, Spain.,Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.,Institute for Bioengineering of Catalonia, Barcelona, Spain
| | - Hans H Schild
- Department of Radiology, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Carsten Meyer
- Department of Radiology, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Daniel Thomas
- Department of Radiology, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Julian A Luetkens
- Department of Radiology, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
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Sichtermann T, Faron A, Sijben R, Teichert N, Freiherr J, Wiesmann M. Deep Learning-Based Detection of Intracranial Aneurysms in 3D TOF-MRA. AJNR Am J Neuroradiol 2018; 40:25-32. [PMID: 30573461 DOI: 10.3174/ajnr.a5911] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Accepted: 10/29/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND PURPOSE The rupture of an intracranial aneurysm is a serious incident, causing subarachnoid hemorrhage associated with high fatality and morbidity rates. Because the demand for radiologic examinations is steadily growing, physician fatigue due to an increased workload is a real concern and may lead to mistaken diagnoses of potentially relevant findings. Our aim was to develop a sufficient system for automated detection of intracranial aneurysms. MATERIALS AND METHODS In a retrospective study, we established a system for the detection of intracranial aneurysms from 3D TOF-MRA data. The system is based on an open-source neural network, originally developed for segmentation of anatomic structures in medical images. Eighty-five datasets of patients with a total of 115 intracranial aneurysms were used to train the system and evaluate its performance. Manual annotation of aneurysms based on radiologic reports and critical revision of image data served as the reference standard. Sensitivity, false-positives per case, and positive predictive value were determined for different pipelines with modified pre- and postprocessing. RESULTS The highest overall sensitivity of our system for the detection of intracranial aneurysms was 90% with a sensitivity of 96% for aneurysms with a diameter of 3-7 mm and 100% for aneurysms of >7 mm. The best location-dependent performance was in the posterior circulation. Pre- and postprocessing sufficiently reduced the number of false-positives. CONCLUSIONS Our system, based on a deep learning convolutional network, can detect intracranial aneurysms with a high sensitivity from 3D TOF-MRA data.
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Affiliation(s)
- T Sichtermann
- From the Department of Diagnostic and Interventional Neuroradiology (T.S., A.F., R.S., N.T., J.F., M.W.), University Hospital RWTH Aachen, Aachen, Germany
| | - A Faron
- From the Department of Diagnostic and Interventional Neuroradiology (T.S., A.F., R.S., N.T., J.F., M.W.), University Hospital RWTH Aachen, Aachen, Germany.,Department of Radiology (A.F.), University Hospital Bonn, Bonn, Germany
| | - R Sijben
- From the Department of Diagnostic and Interventional Neuroradiology (T.S., A.F., R.S., N.T., J.F., M.W.), University Hospital RWTH Aachen, Aachen, Germany
| | - N Teichert
- From the Department of Diagnostic and Interventional Neuroradiology (T.S., A.F., R.S., N.T., J.F., M.W.), University Hospital RWTH Aachen, Aachen, Germany.,Department of Radiology (A.F.), University Hospital Bonn, Bonn, Germany
| | - J Freiherr
- From the Department of Diagnostic and Interventional Neuroradiology (T.S., A.F., R.S., N.T., J.F., M.W.), University Hospital RWTH Aachen, Aachen, Germany
| | - M Wiesmann
- From the Department of Diagnostic and Interventional Neuroradiology (T.S., A.F., R.S., N.T., J.F., M.W.), University Hospital RWTH Aachen, Aachen, Germany
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Heim N, Götz W, Reich RH, Faron A. The prevalence of pneumatized articular eminence in the temporal bone. Do we need a high resolution computed tomography-based novel risk classification for eminectomy? J Craniomaxillofac Surg 2018; 46:1996-2002. [PMID: 30327171 DOI: 10.1016/j.jcms.2018.09.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 07/29/2018] [Accepted: 09/20/2018] [Indexed: 10/28/2022] Open
Abstract
INTRODUCTION Besides mastoid air filled cells, pneumatizations (PN) occasionally occur in the articular eminence (AE) of the temporomandibular joint (TMJ). These findings represent no pathological character but may increase the risk of perforating the AE during eminectomy with potential harming the skull base. Various classifications catagorize the degree of temporal PN without focussing solely on the AE. Panoramic radiograph (PR) and computed tomographie (CT) are both described as suitable for diagnosing PNs. Are the common ways of imaging capable for precise diagnosis and do we need a risk pattern for eminectomy? METHODS A 4-year retrospective study evaluated high resolution computed tomographie (HRCTs) of 300 patients. We screened digitalized skull images for PN of the AE. The frankfort horizontal was determined as the reference mark for measurements. Images were assessed by a craniomaxillofacial surgeon and a radiologist. RESULTS 300 patients (600 AEs) were investigated. We detected 60 PNs (10% of all AEs) in 44 patients (14.7%). We subdevided the findings according to the extent of PN. 10 AEs showed PNs of less than 20% (type 1); n=18: 21-40% (type 2); n=18: 41-70% (type 3). n=14: 71 to 100% (type 4). In 32 cases (72.7%) with 42 PNs a PR existed. Of the 42 AEs, corresponding PN could be detected in 21 cases (50%). DISCUSSION PNs are a potential threat when performing TMJ surgery. Sufficient preoperative imaging is required to avoid severe endangerment for the patient. CT imaging is most suitable detecting PNs. PR seem to fail in diagnosing PNs of different degree. Our novel HRCT-based classification shows the distribution of PNs and provides a risk pattern. CONCLUSION HRCT exceeds the diagnostic accuracy of PR in detecting pneumatized AEs. PR is not capable for detecting PNs of different degree. A novel classification may increase the prediction of perforation risk. Restricting eminectomy to reduce height only to a certain amount reduces the risk of complications.
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Affiliation(s)
- Nils Heim
- University of Bonn, Department for Oral & Cranio-Maxillo and Facial Plastic Surgery (Head: Prof. Dr. Dr. Rudolf H. Reich), Germany.
| | - Werner Götz
- University of Bonn, Department of Orthodontics, Dental Hospital of the University of Bonn, Head of the Oral Biology Laboratory, Germany.
| | - Rudolf H Reich
- University of Bonn, Department for Oral & Cranio-Maxillo and Facial Plastic Surgery (Head: Prof. Dr. Dr. Rudolf H. Reich), Germany.
| | - Anton Faron
- University of Bonn, Department for Radiology, Germany.
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Heim N, Faron A, Wiedemeyer V, Reich R, Martini M. Microbiology and antibiotic sensitivity of head and neck space infections of odontogenic origin. Differences in inpatient and outpatient management. J Craniomaxillofac Surg 2017; 45:1731-1735. [PMID: 28838838 DOI: 10.1016/j.jcms.2017.07.013] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2016] [Revised: 06/10/2017] [Accepted: 07/20/2017] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION The microbial flora of infections of the orofacial region of odontogenic origin is typically polymicrobial. Shortly after mass production of the first antibiotics, antibiotic resistant microorganisms were observed. METHODS A 28-months retrospective study evaluated hospital records of 107 patients that were treated for head and neck infections of odontogenic origin. All patients underwent surgical incision and drainage. RESULTS There were 65 male (61%) and 42 female (39%) patients ranging in age from 5 to 91 years, with a mean age of 48 years (SD = 21). 52 patients underwent outpatient management and 55 patients inpatient management. A total of 92 bacterial strains were isolated from 107 patients, accounting for 0.86 isolates per patient. Overall 46 bacterial strains were isolated from patients that underwent outpatient and 34 bacterial strains that underwent inpatient treatment. 32.6% of the strains, isolated from outpatient treated individuals showed resistances against one or more of the tested antibiotics. Isolated strains of inpatient treated individuals showed resistances in 52.9%. DISCUSSION According to this study's data, penicillin continues to be a highly effective antibiotic to be used against viridans streptococci, group C Streptococci and prevotella, whereas clindamycin was not shown to be effective as an empirical drug of choice for most odontogenic infections. CONCLUSION Microorganisms that show low susceptibility to one or more of the standard antibiotic therapy regimes have a significantly higher chance of causing serious health problems, a tendency of spreading and are more likely to require an inpatient management with admission of IV antibiotics. Penicillin continues to be a highly effective antibiotic to be used against viridans streptococci, group C Streptococci and prevotella, whereas clindamycin could not be shown to be effective as an empirical drug of choice for a high number of odontogenic infections.
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Affiliation(s)
- Nils Heim
- Department for Oral and Cranio-Maxillo and Facial Plastic Surgery, (Head: Prof. Dr. Dr. Rudolf H. Reich), University of Bonn, Germany.
| | - Anton Faron
- Department for Oral and Cranio-Maxillo and Facial Plastic Surgery, (Head: Prof. Dr. Dr. Rudolf H. Reich), University of Bonn, Germany.
| | - Valentin Wiedemeyer
- Department for Oral and Cranio-Maxillo and Facial Plastic Surgery, (Head: Prof. Dr. Dr. Rudolf H. Reich), University of Bonn, Germany.
| | - Rudolf Reich
- Department for Oral and Cranio-Maxillo and Facial Plastic Surgery, (Head: Prof. Dr. Dr. Rudolf H. Reich), University of Bonn, Germany.
| | - Markus Martini
- Department for Oral and Cranio-Maxillo and Facial Plastic Surgery, (Head: Prof. Dr. Dr. Rudolf H. Reich), University of Bonn, Germany.
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Heim N, Faron A, Fuchs J, Martini M, Reich RH, Löffler K. Die Lesbarkeit von onlinebasierten Patienteninformationen in der Augenheilkunde. Ophthalmologe 2016; 114:450-456. [DOI: 10.1007/s00347-016-0367-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Heim N, Faron A, Wiedemeyer V, Teschke M, Reich RH, Martini M. [Delayed Infection after Upper Lip Augmentation with Absorbable Hyaluronic Acid Filler]. HANDCHIR MIKROCHIR P 2015; 47:268-70. [PMID: 26287329 DOI: 10.1055/s-0035-1549917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
Since introduction of the first fillers in the 1980s a multitude of substances has been developed and approved for facial contour augmentation and correction of skin defects. Here we present the interesting case of a patient who presented to us with a delayed infection 6 weeks after augmentation of the upper lip with a hyaluronic acid. We observed full convalescence after operative and high-dose antibiotic treatment of the abscesses. Generally speaking, complications after augmentation with resorbable fillers are rare. However, complications might occur even within unexpected time periods and therefore need our special attention.
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Affiliation(s)
- N Heim
- Abteilung für Mund-, Kiefer- und Plastische Gesichtschirurgie, Uniklinik Bonn, Bonn
| | - A Faron
- Abteilung für Mund-, Kiefer- und Plastische Gesichtschirurgie, Uniklinik Bonn, Bonn
| | - V Wiedemeyer
- Abteilung für Mund-, Kiefer- und Plastische Gesichtschirurgie, Uniklinik Bonn, Bonn
| | - M Teschke
- Abteilung für Mund-, Kiefer- und Plastische Gesichtschirurgie, Uniklinik Bonn, Bonn
| | - R H Reich
- Abteilung für Mund-, Kiefer- und Plastische Gesichtschirurgie, Uniklinik Bonn, Bonn
| | - M Martini
- Abteilung für Mund-, Kiefer- und Plastische Gesichtschirurgie, Uniklinik Bonn, Bonn
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Esfahani BJ, Faron A, Roth KS, Grimminger PP, Luers JC. [Systematic Readability Analysis of Medical Texts on Websites of German University Clinics for General and Abdominal Surgery]. Zentralbl Chir 2015; 141:639-644. [PMID: 26135610 DOI: 10.1055/s-0034-1383381] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Background: Besides the function as one of the main contact points, websites of hospitals serve as medical information portals. As medical information texts should be understood by any patients independent of the literacy skills and educational level, online texts should have an appropriate structure to ease understandability. Materials and Methods: Patient information texts on websites of clinics for general surgery at German university hospitals (n = 36) were systematically analysed. For 9 different surgical topics representative medical information texts were extracted from each website. Using common readability tools and 5 different readability indices the texts were analysed concerning their readability and structure. The analysis was furthermore stratified in relation to geographical regions in Germany. Results: For the definite analysis the texts of 196 internet websites could be used. On average the texts consisted of 25 sentences and 368 words. The reading analysis tools congruously showed that all texts showed a rather low readability demanding a high literacy level from the readers. Conclusion: Patient information texts on German university hospital websites are difficult to understand for most patients. To fulfill the ambition of informing the general population in an adequate way about medical issues, a revision of most medical texts on websites of German surgical hospitals is recommended.
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Affiliation(s)
- B Janghorban Esfahani
- Klinik für Hand-, Plastische, Rekonstruktive und Verbrennungschirurgie, Berufsgenossenschaftliche Unfallklinik Tübingen, Deutschland
| | - A Faron
- Klinik für Hand-, Plastische, Rekonstruktive und Verbrennungschirurgie, Berufsgenossenschaftliche Unfallklinik Tübingen, Deutschland
| | - K S Roth
- Deutsches Seminar, Abteilung Linguistik, Universität Zürich, Schweiz
| | - P P Grimminger
- Klinik und Poliklinik für Allgemein-, Viszeral- und Tumorchirurgie, Uniklinik Köln, Deutschland
| | - J C Luers
- Klinik und Poliklinik für Hals-Nasen-Ohrenheilkunde, Kopf- und Hals-Chirurgie, Uniklinik Köln, Deutschland
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Esfahani BJ, Faron A, Roth KS, Schaller HE, Medved F, Lüers JC. [Systematic analysis of the readability of patient information on the websites of clinics for plastic surgery]. HANDCHIR MIKROCHIR P 2014; 46:369-74. [PMID: 25412241 DOI: 10.1055/s-0034-1385936] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
Abstract
OBJECTIVE The Internet is becoming increasing-ly important as a source of information for patients in medical issues. However, many patients have problems to adequately understand texts, especially with medical content. A basic requirement to understand a written text is the read-ability of a text. The aim of the present study was to examine texts on the websites of German -plastic-surgical hospitals with patient information regarding their readability. MATERIALS AND METHODS In this study, the read-ability of texts of 27 major departments of plastic and Hand surgery in Germany was systematically analysed using 5 recognised readability indices. First, texts were searched based on 20 representative key words and themes. Thereafter, texts were assigned to one of 3 major themes in order to enable statistical analysis. In addition to the 5 readability indices, further objective text parameters were also recorded. RESULTS Overall, 288 texts were found for analyzation. Most articles were found on the topic of "handsurgery" (n=124), less were found for "facial plastic surgery" (n=80) and "flaps, breast and reconstructive surgery" (n=84). Consistently, all readability indices showed a poor readability for the vast majority of analysed texts with the text appearing readable only for readers with a higher educational level. No significant differences in readability were found between the 3 major themes. CONCLUSION Especially in the communication of medical information, it is important to consider the knowledge and education of the addressee. The texts studied consistently showed a readability that is understandable only for academics. Thus, a large part of the intended target group is probably not reached. In order to adequately deliver online information material, a revision of the analysed internet texts appears to be recommendable.
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Affiliation(s)
- B Janghorban Esfahani
- Klinik für Hand, Plastische, Rekonstruktive und Verbrennungschirurgie, BG-Unfallklinik, Eberhard Karls Universität Tübingen, Tübingen
| | - A Faron
- Klinik für Hand, Plastische, Rekonstruktive und Verbrennungschirurgie, BG-Unfallklinik, Eberhard Karls Universität Tübingen, Tübingen
| | - K S Roth
- Deutsches Seminar, Abteilung Linguistik, Universität Zürich, Zuerich, Switzerland
| | - H-E Schaller
- Klinik für Hand, Plastische, Rekonstruktive und Verbrennungschirurgie, BG-Unfallklinik, Eberhard Karls Universität Tübingen, Tübingen
| | - F Medved
- Klinik für Hand, Plastische, Rekonstruktive und Verbrennungschirurgie, BG-Unfallklinik, Eberhard Karls Universität Tübingen, Tübingen
| | - J-C Lüers
- Klinik und Poliklinik für Hals-Nasen-Ohrenheilkunde, Kopf- und Hals-Chirurgie, Uniklinik Köln, Köln
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Weisheit C, Zhang Y, Faron A, Köpke O, Weisheit G, Steinsträsser A, Frede S, Meyer R, Boehm O, Hoeft A, Kurts C, Baumgarten G. Ly6C(low) and not Ly6C(high) macrophages accumulate first in the heart in a model of murine pressure-overload. PLoS One 2014; 9:e112710. [PMID: 25415601 PMCID: PMC4240580 DOI: 10.1371/journal.pone.0112710] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2014] [Accepted: 10/14/2014] [Indexed: 01/13/2023] Open
Abstract
Cardiac tissue remodeling in the course of chronic left ventricular hypertrophy requires phagocytes which degrade cellular debris, initiate and maintain tissue inflammation and reorganization. The dynamics of phagocytes in left ventricular hypertrophy have not been systematically studied. Here, we characterized the temporal accumulation of leukocytes in the cardiac immune response by flow cytometry and fluorescence microscopy at day 3, 6 and 21 following transverse aortic constriction (TAC). Cardiac hypertrophy due to chronic pressure overload causes cardiac immune response and inflammation represented by an increase of immune cells at all three time points among which neutrophils reached their maximum at day 3 and macrophages at day 6. The cardiac macrophage population consisted of both Ly6Clow and Ly6Chigh macrophages. Ly6Clow macrophages were more abundant peaking at day 6 in response to pressure overload. During the development of cardiac hypertrophy the expression pattern of adhesion molecules was investigated by qRT-PCR and flow cytometry. CD11b, CX3CR1 and ICAM-1 determined by qRT-PCR in whole cardiac tissue were up-regulated in response to pressure overload at day 3 and 6. CD11b and CX3CR1 were significantly increased by TAC on the surface of Ly6Clow but not on Ly6Chigh macrophages. Furthermore, ICAM-1 was up-regulated on cardiac endothelial cells. In fluorescence microscopy Ly6Clow macrophages could be observed attached to the intra- and extra-vascular vessel-wall. Taken together, TAC induced the expression of adhesion molecules, which may explain the accumulation of Ly6Clow macrophages in the cardiac tissue, where these cells might contribute to cardiac inflammation and remodeling in response to pressure overload.
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Affiliation(s)
- Christina Weisheit
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany
- * E-mail:
| | - Yunyang Zhang
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany
| | - Anton Faron
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany
| | - Odilia Köpke
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany
| | - Gunnar Weisheit
- Geschwister-Scholl-Gymnasium, Academic High School Daun, Daun, Germany
| | - Arne Steinsträsser
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany
| | - Stilla Frede
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany
| | - Rainer Meyer
- Institute of Physiology II, University of Bonn, Bonn, Germany
| | - Olaf Boehm
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany
| | - Andreas Hoeft
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany
| | - Christian Kurts
- Institute of Experimental Immunology, University Hospital Bonn, Bonn, Germany
| | - Georg Baumgarten
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany
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Medved F, Janghorban-Esfahani B, Manoli T, Faron A, Rahmanian-Schwarz A, Schaller HE. [Traumatic rupture of a hydrogel-filled breast implant - a case for the Employer's Liability Insurance Association?]. HANDCHIR MIKROCHIR P 2014; 46:113-5. [PMID: 24408326 DOI: 10.1055/s-0033-1361099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
Abstract
Today textured breast implants for augmentation and reconstruction are commonly used to reduce the incidence of capsular contractures. Despite modified surfaces, capsular contracture may occur as result of traumatic or iatrogenic ruptures of the implant along with discharge of filling material.We report the interesting case of a female patient with traumatic rupture of one prosthesis in an industrial accident 14 years after implantation of hydrogel-filled breast prostheses. As it was a work related accident, the Employer's Liability Insurance Association is responsible for covering the treatment. The patient history and the histological exam have proven that the accident was work related.
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Affiliation(s)
- F Medved
- Klinik für Hand, Plastische, Rekonstruktive und Verbrennungschirurgie, BG-Unfallklinik, Eberhard Karls Universität -Tübingen, Tübingen
| | - B Janghorban-Esfahani
- Klinik für Hand, Plastische, Rekonstruktive und Verbrennungschirurgie, BG-Unfallklinik, Eberhard Karls Universität -Tübingen, Tübingen
| | - T Manoli
- Klinik für Hand, Plastische, Rekonstruktive und Verbrennungschirurgie, BG-Unfallklinik, Eberhard Karls Universität -Tübingen, Tübingen
| | - A Faron
- Klinik für Hand, Plastische, Rekonstruktive und Verbrennungschirurgie, BG-Unfallklinik, Eberhard Karls Universität -Tübingen, Tübingen
| | | | - H-E Schaller
- Klinik für Hand, Plastische, Rekonstruktive und Verbrennungschirurgie, BG-Unfallklinik, Eberhard Karls Universität -Tübingen, Tübingen
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Faron A, Evans C. Communication Skills: An Adjunct to the Nursing Curriculum. J Nurs Educ 1981; 20:45-7. [PMID: 6259109 DOI: 10.3928/0148-4834-19810201-10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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