1
|
Sporns PB, Kemmling A, Meyer L, Krogias C, Puetz V, Thierfelder KM, Duering M, Lukas C, Kaiser D, Langner S, Brehm A, Rotkopf LT, Kunz WG, Beuker C, Heindel W, Fiehler J, Schramm P, Wiendl H, Minnerup H, Psychogios MN, Minnerup J. Computed tomography hypoperfusion-hypodensity mismatch vs. automated perfusion mismatch to identify stroke patients eligible for thrombolysis. Front Neurol 2023; 14:1320620. [PMID: 38225983 PMCID: PMC10788186 DOI: 10.3389/fneur.2023.1320620] [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: 10/12/2023] [Accepted: 12/04/2023] [Indexed: 01/17/2024] Open
Abstract
Background and purpose Automated perfusion imaging can detect stroke patients with unknown time of symptom onset who are eligible for thrombolysis. However, the availability of this technique is limited. We, therefore, established the novel concept of computed tomography (CT) hypoperfusion-hypodensity mismatch, i.e., an ischemic core lesion visible on cerebral perfusion CT without visible hypodensity in the corresponding native cerebral CT. We compared both methods regarding their accuracy in identifying patients suitable for thrombolysis. Methods In a retrospective analysis of the MissPerfeCT observational cohort study, patients were classified as suitable or not for thrombolysis based on established time window and imaging criteria. We calculated predictive values for hypoperfusion-hypodensity mismatch and automated perfusion imaging to compare accuracy in the identification of patients suitable for thrombolysis. Results Of 247 patients, 219 (88.7%) were eligible for thrombolysis and 28 (11.3%) were not eligible for thrombolysis. Of 197 patients who were within 4.5 h of symptom onset, 190 (96.4%) were identified by hypoperfusion-hypodensity mismatch and 88 (44.7%) by automated perfusion mismatch (p < 0.001). Of 22 patients who were beyond 4.5 h of symptom onset but were eligible for thrombolysis, 5 patients (22.7%) were identified by hypoperfusion-hypodensity mismatch. Predictive values for the hypoperfusion-hypodensity mismatch vs. automated perfusion mismatch were as follows: sensitivity, 89.0% vs. 50.2%; specificity, 71.4% vs. 100.0%; positive predictive value, 96.1% vs. 100.0%; and negative predictive value, 45.5% vs. 20.4%. Conclusion The novel method of hypoperfusion-hypodensity mismatch can identify patients suitable for thrombolysis with higher sensitivity and lower specificity than established techniques. Using this simple method might therefore increase the proportion of patients treated with thrombolysis without the use of special automated software.The MissPerfeCT study is a retrospective observational multicenter cohort study and is registered with clinicaltrials.gov (NCT04277728).
Collapse
Affiliation(s)
- Peter B. Sporns
- Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Radiology, Westfaelische Wilhelms-University of Münster and University Hospital of Münster, Münster, Germany
| | - André Kemmling
- Department of Radiology, Westfaelische Wilhelms-University of Münster and University Hospital of Münster, Münster, Germany
- Department of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany
- Department of Neuroradiology, University Medical Center Schleswig-Holstein, Lübeck, Germany
| | - Lennart Meyer
- Department of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Christos Krogias
- Department of Neurology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany
| | - Volker Puetz
- Department of Neurology, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Kolja M. Thierfelder
- Department of Radiology and Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Rostock, Germany
| | - Marco Duering
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Carsten Lukas
- Department of Neuroradiology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany
| | - Daniel Kaiser
- Department of Neuroradiology, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Sönke Langner
- Department of Radiology and Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Rostock, Germany
| | - Alex Brehm
- Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland
| | - Lukas T. Rotkopf
- Department of Radiology, German Cancer Research Center, Heidelberg, Germany
| | - Wolfgang G. Kunz
- Department of Radiology, University Hospital, LMU Munich, Germany
| | - Carolin Beuker
- Department of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Walter Heindel
- Department of Radiology, Westfaelische Wilhelms-University of Münster and University Hospital of Münster, Münster, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter Schramm
- Department of Neuroradiology, University Medical Center Schleswig-Holstein, Lübeck, Germany
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Heike Minnerup
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Marios Nikos Psychogios
- Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland
| | - Jens Minnerup
- Department of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany
| |
Collapse
|
2
|
Sporns PB, Höhne M, Meyer L, Krogias C, Puetz V, Thierfelder KM, Duering M, Kaiser D, Langner S, Brehm A, Rotkopf LT, Kunz WG, Fiehler J, Heindel W, Schramm P, Wiendl H, Minnerup H, Psychogios MN, Kemmling A, Minnerup J. Simplified Assessment of Lesion Water Uptake for Identification of Patients within 4.5 Hours of Stroke
Onset: An Analysis of the MissPerfeCT Study. J Stroke 2022; 24:390-395. [PMID: 36221942 PMCID: PMC9561216 DOI: 10.5853/jos.2022.00220] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 04/01/2022] [Indexed: 11/11/2022] Open
Abstract
Background and Purpose Many patients with stroke cannot receive intravenous thrombolysis because the time of symptom onset is unknown. We tested whether a simple method of computed tomography (CT)-based quantification of water uptake in the ischemic tissue can identify patients with stroke onset within 4.5 hours. Methods This retrospective analysis of the MissPerfeCT study (August 2009 to November 2017) includes consecutive patients with known onset of symptoms from seven tertiary stroke centers. We developed a simplified algorithm based on region of interest (ROI) measurements to quantify water uptake of the ischemic lesion and thereby quantify time of symptom onset within and beyond 4.5 hours. Perfusion CT was used to identify ischemic brain tissue, and its density was measured in non-contrast CT and related to the density of the corresponding area of the contralateral hemisphere to quantify lesion water uptake. Results Of 263 patients, 204 (77.6%) had CT within 4.5 hours. Water uptake was significantly lower in patients with stroke onset within (6.7%; 95% confidence interval [CI], 6.0% to 7.4%) compared to beyond 4.5 hours (12.7%; 95% CI, 10.7% to 14.7%). The area under the curve for distinguishing these patient groups according to percentage water uptake was 0.744 with an optimal cut-off value of 9.5%. According to this cut-off the positive predictive value was 88.8%, sensitivity was 73.5%, specificity 67.8%, negative predictive value was 42.6%. Conclusions Ischemic stroke patients with unknown time of symptom onset can be identified as being within a timeframe of 4.5 hours using a ROI-based method to assess water uptake on admission non-contrast head CT.
Collapse
Affiliation(s)
- Peter B. Sporns
- Department of Neuroradiology, Clinic of Radiology & Nuclear Medicine, University Hospital Basel, Basel, Switzerland
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Correspondence: Peter B. Sporns Department of Neuroradiology, Clinic of Radiology & Nuclear Medicine, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland Tel: 41-61-328-6370 Fax: 41-61-328-6371 E-mail:
| | - Marco Höhne
- Department of Radiology, University Hospital of Münster, Westfaelische Wilhelms-University of Münster, Münster, Germany
| | - Lennart Meyer
- Department of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Christos Krogias
- Department of Neurology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany
| | - Volker Puetz
- Department of Neurology, University Hospital Carl Gustav Carus, Dresden, Germany
- Neurovascular Center Dresden, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Kolja M. Thierfelder
- Department of Radiology and Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Rostock, Germany
| | - Marco Duering
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Daniel Kaiser
- Neurovascular Center Dresden, University Hospital Carl Gustav Carus, Dresden, Germany
- Institute of Neuroradiology, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Sönke Langner
- Department of Radiology and Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Rostock, Germany
| | - Alex Brehm
- Department of Neuroradiology, Clinic of Radiology & Nuclear Medicine, University Hospital Basel, Basel, Switzerland
| | - Lukas T. Rotkopf
- Department of Radiology, German Cancer Research Center, Heidelberg, Germany
| | - Wolfgang G. Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Walter Heindel
- Department of Radiology, University Hospital of Münster, Westfaelische Wilhelms-University of Münster, Münster, Germany
| | - Peter Schramm
- Department of Neuroradiology, University Medical Center Schleswig-Holstein, Lübeck, Germany
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Heike Minnerup
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Marios Nikos Psychogios
- Department of Neuroradiology, Clinic of Radiology & Nuclear Medicine, University Hospital Basel, Basel, Switzerland
| | - André Kemmling
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Marburg, Marburg University, Marburg, Germany
| | - Jens Minnerup
- Department of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany
| |
Collapse
|
3
|
Beyer T, Schlemmer HP, Weber MA, Thierfelder KM. PI-RADS 2.1 - Image Interpretation: The Most Important Updates and Their Clinical Implications. ROFO-FORTSCHR RONTG 2020; 193:787-796. [PMID: 33348384 DOI: 10.1055/a-1324-4010] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Multiparametric magnetic resonance imaging (MRI) of the prostate plays a central role in the diagnosis of patients with suspected prostate cancer. The increasing distribution and application of the guideline for the standardization of image acquisition, evaluation, and reporting (Prostate Imaging - Reporting and Data System, PI-RADS), which was updated in 2019 to version 2.1, contributes to the success of the technique. MATERIALS AND METHODS The most important updates of PI-RADS version 2.1 presented in 2019 compared to the previous version PI-RADS 2.0 are highlighted and interpreted with regard to their clinical implications. RESULTS PI-RADS version 2.1 aims to simplify the application of the scoring scheme without changing the basic concept of dominant sequences (DWI in the peripheral zone, T2 in the transition zone). Of particular importance are the increasing role of diffusion-weighted imaging in the transition zone, the now mandatory high b-value of at least 1400 s/mm2, and new information on the assessment of the central zone and the anterior fibromuscular stroma. CONCLUSION PI-RADS version 2.1 published in 2019 addresses a number of changes to the previous version, including both the examination technique and image interpretation. Prospective clinical studies have yet to prove the extent to which the goals of reducing interreader variability and increasing the detection rate in the transition zone will be achieved. KEY POINTS · The new PI-RADS version 2.1. includes changes regarding image interpretation and examination technique. · The role of diffusion-weighted imaging is strengthened in the transition zone. · An ultra-high b-value of at least 1400 s/mm2 is mandatory according to PI-RADS 2.1. · Biparametric MRI is not recommended for general application. CITATION FORMAT · Beyer T, Schlemmer H, Weber M et al. PI-RADS 2.1 - Image Interpretation: The Most Important Updates and Their Clinical Implications. Fortschr Röntgenstr 2021; 193: 787 - 795.
Collapse
Affiliation(s)
- Thomas Beyer
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
| | | | - Marc-André Weber
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
| | - Kolja M Thierfelder
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
| |
Collapse
|
4
|
Beller E, Ammermann F, Busse A, Heller T, Thierfelder KM, Weinrich M, Neumann A, Weber MA, Meinel FG. Extravascular findings on run-off MR angiography: frequency, location and clinical significance. Clin Imaging 2020; 69:172-178. [PMID: 32861128 DOI: 10.1016/j.clinimag.2020.07.010] [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] [Received: 04/03/2020] [Revised: 06/03/2020] [Accepted: 07/23/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES The aim of this study was to analyze the prevalence, location and clinical relevance of extravascular findings (EVFs) on magnetic resonance angiography (MRA) of the run-off vasculature. METHODS In this retrospective study, we analyzed run-off MRAs of 194 consecutive patients (45 women and 149 men, median age 68 years, IQR 58-74 years). Our patient cohort consisted predominantly of individuals with known (n = 165, 85%) or suspected (n = 15, 8%) peripheral artery disease (PAD). All MRA examinations were performed between 2012 and 2018 on a 3 Tesla MRI scanner using a standardized protocol. Two radiologists re-evaluated the MRA images to identify EVFs, which were classified into findings with major (category I), moderate (category II) and minor (category III) clinical significance. RESULTS A total of 501 EVFs were found in 172 of the 194 patients (89%). Twenty-seven findings (5%) were assigned to category I, 189 (38%) to category II and 285 (57%) to category III. 23 of 194 patients (12%) had at least one EVF with major clinical relevance (category I). Most of the 27 category I EVFs were observed in the soft tissues (n = 13, 48%). The remaining category I EVFs were found in the musculoskeletal (n = 7, 26%), urogenital (n = 4, 15%), lymphatic (n = 2, 7%) and gastrointestinal (n = 1, 4%) system. The majority of the category I EVFs were infectious (n = 14, 52%) or neoplastic (n = 10, 37%) pathologies. CONCLUSIONS Clinically relevant EVF can be encountered frequently on run-off MRA examinations. These results illustrate the importance of evaluating all organ systems when reporting MRA examinations, despite the clinical focus being the patients' vascular status.
Collapse
Affiliation(s)
- Ebba Beller
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.
| | - Felix Ammermann
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
| | - Anke Busse
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
| | - Thomas Heller
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
| | - Kolja M Thierfelder
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
| | - Malte Weinrich
- Department of General, Thoracic, Vascular and Transplantation Surgery, Rostock University Medical Center, Rostock, Germany
| | - Andreas Neumann
- Department of General, Thoracic, Vascular and Transplantation Surgery, Rostock University Medical Center, Rostock, Germany
| | - Marc-André Weber
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
| | - Felix G Meinel
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
| |
Collapse
|
5
|
Skusa C, Weber MA, Böttcher S, Thierfelder KM. Criteria-Based Imaging and Response Evaluation of Lymphoma 20 Years After Cheson: What is New? ROFO-FORTSCHR RONTG 2020; 192:657-668. [PMID: 32215902 DOI: 10.1055/a-1091-8897] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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]
Abstract
BACKGROUND The rapid progress in oncology research requires numerous new scientific publications. This article aims to provide an overview of criteria-based imaging and response evaluation of lymphoma according to the current status of knowledge. In fact, common criteria for evaluating data, especially imaging response evaluation, are essential for comparability of studies. While criteria-based classifications of solid tumors have been established for some time, there are now increasing classifications of lymphoma diseases. The purpose of this review is to describe the development of criteria-based evaluation of lymphoma diseases with a special focus on imaging up to current guidelines. METHODS Literature review based on PubMed including the languages English and German was performed. This review article includes the most important criteria-based response evaluations of lymphoma published between January 1999 and July 2019. RESULTS AND CONCLUSION The two latest classifications of response evaluation of lymphoma are: The Lugano classification, which has been steadily developed over the past 20 years and has been specially adapted to technical progress, as well as the evaluation method RECIL (Response Evaluation Criteria In Lymphoma), which is based on the RECIST (Response Evaluation Criteria in Solid Tumors) classification already established for solid tumors. Significant imaging components of both classifications are the anatomical measurement and measurement of the metabolic response of the manifestation of lymphoma using positron emission tomography (PET/CT). KEY POINTS · Standardized criteria-based response evaluations are essential for the objective and comparable analysis of new drugs for the treatment of lymphoma diseases.. · The latest classification RECIL has significantly simplified treatment evaluation and has established a better comparability to the therapeutic evaluation of solid tumors according to RECIST.. · Further studies will show the most appropriate classifications depending on study settings.. CITATION FORMAT · Skusa C, Weber M, Böttcher S et al. Criteria-Based Imaging and Response Evaluation of Lymphoma 20 Years After Cheson: What is New?. Fortschr Röntgenstr 2020; 192: 657 - 667.
Collapse
Affiliation(s)
- Christopher Skusa
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
| | - Marc-André Weber
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
| | - Sebastian Böttcher
- Department of Medicine, Clinic III - Hematology, Oncology, Palliative Medicine, Rostock University Medical Center, Rostock, Germany
| | - Kolja M Thierfelder
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
| |
Collapse
|
6
|
Gemescu IN, Thierfelder KM, Rehnitz C, Weber MA. Imaging Features of Bone Tumors: Conventional Radiographs and MR Imaging Correlation. Magn Reson Imaging Clin N Am 2020; 27:753-767. [PMID: 31575404 DOI: 10.1016/j.mric.2019.07.008] [Citation(s) in RCA: 12] [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] [Indexed: 11/29/2022]
Abstract
Imaging bone tumors often causes uncertainty, especially outside dedicated sarcoma treatment centers. Conventional radiography remains the backbone of bone tumor diagnostics, but MR imaging has a role. Radiographs are crucial for assessing the tumor matrix and aggressiveness. MR imaging is the best modality for local staging. This article reviews semiological aspects of bone tumors: patient age, tumor localization, pattern of bone destruction/margins, aggressiveness, growth speed, matrix formation, periosteal reaction, cortical involvement, size, and number of lesions. All aspects are discussed in terms of their appearance on radiographs and MR imaging, with a focus on the correlation between the 2 modalities.
Collapse
Affiliation(s)
- Ioan N Gemescu
- Department of Radiology and Medical Imaging, University Emergency Hospital Bucharest, Splaiul Independentei, 169, 050098, Bucharest, Romania.
| | - Kolja M Thierfelder
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Centre, Ernst-Heydemann-Str. 6, 18057, Rostock, Germany
| | - Christoph Rehnitz
- Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Im Neuenheimer Feld 672, 69120, Heidelberg, Germany
| | - Marc-André Weber
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Centre, Ernst-Heydemann-Str. 6, 18057, Rostock, Germany
| |
Collapse
|
7
|
Rotkopf LT, Tiedt S, Puhr-Westerheide D, Herzberg M, Reidler P, Kellert L, Feil K, Thierfelder KM, Dorn F, Liebig T, Wollenweber FA, Kunz WG. Ischemic Core Volume Combined with the Relative Perfusion Ratio for Stroke Outcome Prediction after Endovascular Thrombectomy. J Neuroimaging 2020; 30:321-326. [PMID: 32037660 DOI: 10.1111/jon.12695] [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: 11/11/2019] [Revised: 01/30/2020] [Accepted: 01/30/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND AND PURPOSE Imaging-based selection of stroke patients for endovascular thrombectomy (EVT) remains an ongoing challenge. Our aim was to determine the value of a combined parameter of ischemic core volume (ICV) and the relative degree of cerebral blood flow in the penumbra for morphologic and clinical outcome prediction. METHODS In this Institutional Review Board (IRB)-approved prospective observational study, 221 consecutive patients with large vessel occlusion anterior circulation stroke within 6 hours of symptom onset and subsequent EVT were included between June 2015 and August 2017. Admission computed tomography perfusion was analyzed using automated threshold-based algorithms. Perfusion-weighted ICV (pw-ICV) was calculated by multiplying ICV with the relative cerebral blood flow reduction within the penumbra. Functional outcome was assessed by standardized assessment of the modified Rankin scale (mRS) after 3 months. RESULTS In multivariate analyses, pw-ICV was significantly associated with final infarction volume (FIV) (β = .38, P < .001) after adjustment for penumbra volume, age, sex and time from symptom onset. In separate multivariate analysis with either pw-ICV or ICV, pw-ICV outperformed ICV for the prediction of FIV (Akaike's information criterion: 1,072 vs. 1,089; conditional variable importance: 1,494 vs. 955). There was also a highly significant association between FIV and clinical outcome as measured by an mRS score of 2 or less (odds ratio per 10 mL = .78, P < .001). Both pw-ICV and ICV were significantly associated with NIHSS improvement (both P<.05). CONCLUSION In EVT-treated stroke patients, pw-ICV outperforms the more commonly used ICV in the prediction of morphological and functional outcome.
Collapse
Affiliation(s)
- Lukas T Rotkopf
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Steffen Tiedt
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | | | - Moriz Herzberg
- Department of Neuroradiology, University Hospital, LMU Munich, Munich, Germany
| | - Paul Reidler
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Lars Kellert
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany.,Department of Neuroradiology, University Hospital, LMU Munich, Munich, Germany
| | - Katharina Feil
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | - Kolja M Thierfelder
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Rostock, Germany
| | - Franziska Dorn
- Department of Neuroradiology, University Hospital, LMU Munich, Munich, Germany
| | - Thomas Liebig
- Department of Neuroradiology, University Hospital, LMU Munich, Munich, Germany
| | - Frank A Wollenweber
- Department of Neurology, Helios Dr. Horst Schmidt Kliniken Wiesbaden, Germany.,Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| |
Collapse
|
8
|
Abstract
Benign bone tumors are frequently discovered as incidental findings, whereas malignant tumors and metastases often become clinically noticeable due to pain or swelling. The initial radiological diagnostics by conventional X‑ray imaging, magnetic resonance imaging (MRI) and computed tomography (CT) play an important role in the assessment of dignity and further treatment planning. The aftercare of bone tumors is necessary for the recognition of recurrences and distant metastases as well as the detection of complications, e.g. after implantation of a prosthesis. Implanted metal and posttherapeutic alterations can impede the aftercare due to artifacts and treatment-associated tissue alterations. In addition to the recommendations of the Association of the Scientific Medical Societies in Germany (AWMF), the European Organisation for Research and Treatment of Cancer (EORTC) and the European Society of Musculoskeletal Radiology (ESSR), study protocols can be used as orientation for the aftercare of individual primary malignant bone tumors.
Collapse
Affiliation(s)
- Kolja M Thierfelder
- Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Ernst-Heydemann-Str. 6, 18057, Rostock, Deutschland.
| | - Sophie Niendorf
- Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Ernst-Heydemann-Str. 6, 18057, Rostock, Deutschland
| | - Judith S Gerhardt
- Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Ernst-Heydemann-Str. 6, 18057, Rostock, Deutschland
| | - Marc-An Dré Weber
- Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Ernst-Heydemann-Str. 6, 18057, Rostock, Deutschland
| |
Collapse
|
9
|
Rotkopf LT, Wiestler B, Preibisch C, Liesche-Starnecker F, Pyka T, Nörenberg D, Bette S, Gempt J, Thierfelder KM, Zimmer C, Huber T. The wavelet power spectrum of perfusion weighted MRI correlates with tumor vascularity in biopsy-proven glioblastoma samples. PLoS One 2020; 15:e0228030. [PMID: 31971966 PMCID: PMC6977746 DOI: 10.1371/journal.pone.0228030] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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: 10/22/2019] [Accepted: 01/06/2020] [Indexed: 01/16/2023] Open
Abstract
Background Wavelet transformed reconstructions of dynamic susceptibility contrast (DSC) MR perfusion (wavelet-MRP) are a new and elegant way of visualizing vascularization. Wavelet-MRP maps yield a clear depiction of hypervascular tumor regions, as recently shown. Objective The aim of this study was to elucidate a possible connection of the wavelet-MRP power spectrum in glioblastoma (GBM) with local vascularity and cell proliferation. Methods For this IRB-approved study 12 patients (63.0+/-14.9y; 7m) with histologically confirmed IDH-wildtype GBM were included. Target regions for biopsies were prospectively marked on tumor regions as seen on preoperative 3T MRI. During subsequent neurosurgical tumor resection 43 targeted biopsies were taken from these target regions, of which all 27 matching samples were analyzed. All specimens were immunohistochemically analyzed for endothelial cell marker CD31 and proliferation marker Ki67 and correlated to the wavelet-MRP power spectrum as derived from DSC perfusion weighted imaging. Results There was a strong correlation between wavelet-MRP power spectrum (median = 4.41) and conventional relative cerebral blood volume (median = 5.97 ml/100g) in Spearman's rank-order correlation (κ = .83, p < .05). In a logistic regression model, the wavelet-MRP power spectrum showed a significant correlation to CD31 dichotomized to no or present staining (p = .04), while rCBV did not show a significant correlation to CD31 (p = .30). No significant association between Ki67 and rCBV or wavelet-MRP was found (p = .62 and p = .70, respectively). Conclusion The wavelet-MRP power spectrum derived from existing DSC-MRI data might be a promising new surrogate for tumor vascularity in GBM.
Collapse
Affiliation(s)
- Lukas T. Rotkopf
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
- * E-mail:
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Christine Preibisch
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | | | - Thomas Pyka
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Dominik Nörenberg
- Institute of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Stefanie Bette
- Department of Diagnostic and Interventional Radiology and Neuroradiology, Universitaetsklinikum Augsburg, Augsburg, Germany
| | - Jens Gempt
- Department of Neurosurgery, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Kolja M. Thierfelder
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Rostock, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Thomas Huber
- Institute of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| |
Collapse
|
10
|
Fabritius MP, Reidler P, Froelich MF, Rotkopf LT, Liebig T, Kellert L, Feil K, Tiedt S, Kazmierczak PM, Thierfelder KM, Puhr-Westerheide D, Kunz WG. Incremental Value of Computed Tomography Perfusion for Final Infarct Prediction in Acute Ischemic Cerebellar Stroke. J Am Heart Assoc 2019; 8:e013069. [PMID: 31631729 PMCID: PMC6898835 DOI: 10.1161/jaha.119.013069] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [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] [Indexed: 01/01/2023]
Abstract
Background The diagnosis of ischemic cerebellar stroke is challenging because of nonspecific symptoms and very limited accuracy of commonly applied computed tomography (CT) imaging. Advances in CT perfusion imaging provide increasing value in the detection of posterior circulation stroke, but the prognostic value remains unclear. We aimed to identify imaging parameters that predict morphologic outcome in cerebellar stroke patients using advanced CT including whole‐brain CT perfusion (WB‐CTP). Methods and Results We selected all subjects with cerebellar WB‐CTP perfusion deficits and follow‐up‐confirmed cerebellar infarction from a consecutive cohort with suspected stroke who underwent WB‐CTP. Posterior‐circulation‐Acute‐Stroke‐Prognosis‐Early‐CT‐Score (pc‐ASPECTS) was determined on noncontrast CT, CT angiography source images, and on parametric WB‐CTP maps. Cerebellar perfusion deficit volumes on all maps and the final infarction volume on follow‐up imaging were quantified. Uni‐ and multivariate regression analyses were performed. Sixty patients fulfilled the inclusion criteria. pc‐ASPECTS on CT angiography source images (ß, −9.239; 95% CI, −14.220 to −4.259; P<0.001) and cerebral blood flow deficit volume (ß, 0.886; 95% CI, 0.684 to 1.089; P<0.001) were significantly associated with final infarction volume in univariate linear regression analysis. The association of cerebral blood flow deficit volume (ß, 0.830; 95% CI, 0.605–1.055; P<0.001) was confirmed in a multivariate linear regression model adjusted for age, sex, pc‐ASPECTS on noncontrast CT, and CT angiography source images and the National Institutes of Health Stroke Scale score on admission. No other clinical or imaging parameters were associated with cerebellar stroke final infarction volume (P>0.05). Conclusions In contrast to noncontrast CT and CT angiography, WB‐CTP imaging contains prognostic information for morphologic outcome in patients with acute cerebellar stroke.
Collapse
Affiliation(s)
| | - Paul Reidler
- Department ot Radiology University Hospital, LMU Munich Munich Germany
| | | | - Lukas T Rotkopf
- Department ot Radiology University Hospital, LMU Munich Munich Germany
| | - Thomas Liebig
- Department of Neuroradiology University Hospital LMU Munich Germany
| | - Lars Kellert
- Department of Neurology University Hospital LMU Munich Germany.,Department of Neurology University Hospital Heidelberg Germany
| | - Katharina Feil
- Department of Neurology University Hospital LMU Munich Germany.,German Center for Vertigo and Balance Disorders University Hospital LMU Munich Germany
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research University Hospital LMU Munich Germany
| | | | - Kolja M Thierfelder
- Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Germany
| | | | - Wolfgang G Kunz
- Department ot Radiology University Hospital, LMU Munich Munich Germany
| |
Collapse
|
11
|
Puhr-Westerheide D, Tiedt S, Rotkopf LT, Herzberg M, Reidler P, Fabritius MP, Kazmierczak PM, Kellert L, Feil K, Thierfelder KM, Dorn F, Liebig T, Wollenweber FA, Kunz WG. Clinical and Imaging Parameters Associated With Hyperacute Infarction Growth in Large Vessel Occlusion Stroke. Stroke 2019; 50:2799-2804. [DOI: 10.1161/strokeaha.119.025809] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background and Purpose—
Large vessel occlusion stroke leads to highly variable hyperacute infarction growth. Our aim was to identify clinical and imaging parameters associated with hyperacute infarction growth in patients with an large vessel occlusion stroke of the anterior circulation.
Methods—
Seven hundred twenty-two consecutive patients with acute stroke were prospectively included in our monocentric stroke registry between 2009 and 2017. We selected all patients with a large vessel occlusion stroke of the anterior circulation, documented times from symptom onset, and CT perfusion on admission for our analysis (N=178). Ischemic core volume was determined with CT perfusion using automated thresholds. Hyperacute infarction growth was defined as ischemic core volume divided by times from symptom onset, assuming linear progression during times from symptom onset to imaging on admission. For collateral assessment, the regional leptomeningeal collateral score (rLMC) was used. Clinical data included the National Institutes of Health Stroke Scale score on admission and cardiovascular risk factors. Regression analysis was performed to adjust for confounders.
Results—
Median ischemic core volume was 34.4 mL, and median hyperacute infarction growth was 0.27 mL/min. In regression analysis including age, sex, National Institutes of Health Stroke Scale, clot burden score, diabetes mellitus, smoking, hypercholesteremia, hypertension, Alberta Stroke Program Early CT Score, and rLMC scores, only the rLMC score had a significant, independent association with hyperacute infarction growth (adjusted β=−0.35;
P
<0.001). Trichotomizing patients by rLMC scores yielded 65 patients with good (rLMC >15), 67 with intermediate (rLMC 11–15) and 46 with poor collaterals (rLMC <11) with an infarction growth of 0.17 mL/min, 0.26 mL/min, and 0.41 mL/min, respectively.
Conclusions—
Hyperacute infarction growth strongly depends on collaterals. In primary stroke centers, hyperacute infarction growth may be extrapolated to estimate the stroke progression during transfer times to thrombectomy centers and to support decisions on which patients to transfer.
Collapse
Affiliation(s)
- Daniel Puhr-Westerheide
- From the Department of Radiology (D.P.-W., L.T.R., P.R., M.P.F., P.M.K., W.G.K.), University Hospital, LMU Munich, Germany
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research (S.T., F.A.W.), University Hospital, LMU Munich, Germany
| | - Lukas T. Rotkopf
- From the Department of Radiology (D.P.-W., L.T.R., P.R., M.P.F., P.M.K., W.G.K.), University Hospital, LMU Munich, Germany
| | - Moriz Herzberg
- Department of Neuroradiology (M.H., F.D., T.L.), University Hospital, LMU Munich, Germany
| | - Paul Reidler
- From the Department of Radiology (D.P.-W., L.T.R., P.R., M.P.F., P.M.K., W.G.K.), University Hospital, LMU Munich, Germany
| | - Matthias P. Fabritius
- From the Department of Radiology (D.P.-W., L.T.R., P.R., M.P.F., P.M.K., W.G.K.), University Hospital, LMU Munich, Germany
| | - Philipp M. Kazmierczak
- From the Department of Radiology (D.P.-W., L.T.R., P.R., M.P.F., P.M.K., W.G.K.), University Hospital, LMU Munich, Germany
| | - Lars Kellert
- Department of Neurology (L.K., K.F., F.A.W.), LMU Munich, Germany
| | - Katharina Feil
- Department of Neurology (L.K., K.F., F.A.W.), LMU Munich, Germany
- German Center for Vertigo and Balance Disorders (K.F.), LMU Munich, Germany
| | - Kolja M. Thierfelder
- Department of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Germany (K.M.T.)
| | - Franziska Dorn
- Department of Neuroradiology (M.H., F.D., T.L.), University Hospital, LMU Munich, Germany
| | - Thomas Liebig
- Department of Neuroradiology (M.H., F.D., T.L.), University Hospital, LMU Munich, Germany
| | - Frank A. Wollenweber
- Institute for Stroke and Dementia Research (S.T., F.A.W.), University Hospital, LMU Munich, Germany
- Department of Neurology (L.K., K.F., F.A.W.), LMU Munich, Germany
| | - Wolfgang G. Kunz
- From the Department of Radiology (D.P.-W., L.T.R., P.R., M.P.F., P.M.K., W.G.K.), University Hospital, LMU Munich, Germany
| |
Collapse
|
12
|
Fischer S, Tahoun M, Klaan B, Thierfelder KM, Weber MA, Krause BJ, Hakenberg O, Fuellen G, Hamed M. A Radiogenomic Approach for Decoding Molecular Mechanisms Underlying Tumor Progression in Prostate Cancer. Cancers (Basel) 2019; 11:E1293. [PMID: 31480766 PMCID: PMC6770738 DOI: 10.3390/cancers11091293] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 08/20/2019] [Accepted: 08/28/2019] [Indexed: 12/28/2022] Open
Abstract
Prostate cancer (PCa) is a genetically heterogeneous cancer entity that causes challenges in pre-treatment clinical evaluation, such as the correct identification of the tumor stage. Conventional clinical tests based on digital rectal examination, Prostate-Specific Antigen (PSA) levels, and Gleason score still lack accuracy for stage prediction. We hypothesize that unraveling the molecular mechanisms underlying PCa staging via integrative analysis of multi-OMICs data could significantly improve the prediction accuracy for PCa pathological stages. We present a radiogenomic approach comprising clinical, imaging, and two genomic (gene and miRNA expression) datasets for 298 PCa patients. Comprehensive analysis of gene and miRNA expression profiles for two frequent PCa stages (T2c and T3b) unraveled the molecular characteristics for each stage and the corresponding gene regulatory interaction network that may drive tumor upstaging from T2c to T3b. Furthermore, four biomarkers (ANPEP, mir-217, mir-592, mir-6715b) were found to distinguish between the two PCa stages and were highly correlated (average r = ± 0.75) with corresponding aggressiveness-related imaging features in both tumor stages. When combined with related clinical features, these biomarkers markedly improved the prediction accuracy for the pathological stage. Our prediction model exhibits high potential to yield clinically relevant results for characterizing PCa aggressiveness.
Collapse
Affiliation(s)
- Sarah Fischer
- Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, 18057 Rostock, Germany
| | - Mohamed Tahoun
- Computer Science Department, Faculty of Computers and Informatics, Suez Canal University, Ismailia 41522, Egypt
| | - Bastian Klaan
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, 18057 Rostock, Germany
| | - Kolja M Thierfelder
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, 18057 Rostock, Germany
| | - Marc-André Weber
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, 18057 Rostock, Germany
| | - Bernd J Krause
- Department of Nuclear Medicine, Rostock University Medical Center, 18057 Rostock, Germany
| | - Oliver Hakenberg
- Department of Urology, Rostock University Medical Center, 18057 Rostock, Germany
| | - Georg Fuellen
- Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, 18057 Rostock, Germany
| | - Mohamed Hamed
- Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, 18057 Rostock, Germany.
| |
Collapse
|
13
|
Schuler F, Rotkopf LT, Apel D, Fabritius MP, Tiedt S, Wollenweber FA, Kellert L, Dorn F, Liebig T, Thierfelder KM, Kunz WG. Differential Benefit of Collaterals for Stroke Patients Treated with Thrombolysis or Supportive Care : A Propensity Score Matched Analysis. Clin Neuroradiol 2019; 30:525-533. [PMID: 31375893 DOI: 10.1007/s00062-019-00815-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: 05/03/2019] [Accepted: 07/05/2019] [Indexed: 10/26/2022]
Abstract
PURPOSE Leptomeningeal collaterals can slow down infarction growth; however, despite good collaterals in the DAWN and DEFUSE 3 trials, outcomes were devastating if reperfusion was not attempted. The aim of this study was to compare the influence of collaterals on morphological and functional outcome in patients with acute middle cerebral artery (MCA) stroke undergoing intravenous thrombolysis (IVT) vs. supportive care (non-IVT). METHODS Out of 1639 consecutive patients examined with multiparametric computed tomography (CT) for suspected ischemic stroke, all patients with confirmed MCA stroke who did not undergo endovascular thrombectomy were selected. Propensity score matching (PSM) was used to match IVT and non-IVT treated patients for potential confounders including age, sex, National Institutes of Health Stroke Scale (NIHSS) score on admission, Alberta Stroke Program Early CT Score (ASPECTS), and occlusion site. Regression analysis after PSM was performed to identify independent associations. RESULTS After PSM, 90 IVT patients were matched with 90 non-IVT patients. In multivariable regression analysis, a high regional leptomeningeal collateral (rLMC) score was independently associated with lower final infarction volume (FIV) in the IVT group (b = -0.472, p < 0.001) but not in the non-IVT group (b = -0.116, p = 0.327). The trichotomized rLMC scores predicted functional outcome in IVT treated patients (adjusted odds ratio, aOR = 4.57, 95% confidence interval, CI, 1.03-20.32, p = 0.046) but showed no independent association with outcome in the non-IVT group (aOR = 0.69, 95% CI 0.07-6.80, p = 0.753). CONCLUSION Good collaterals favored smaller FIV and good functional outcome in IVT treated patients but not in non-IVT treated patients. Good collateral flow may have limited prognostic value if IVT is not administered to attempt reperfusion.
Collapse
Affiliation(s)
- Felix Schuler
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
| | - Lukas T Rotkopf
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Daniel Apel
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Matthias P Fabritius
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Frank A Wollenweber
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Lars Kellert
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | - Franziska Dorn
- Institute of Diagnostic and Interventional Neuroradiology, University Hospital, LMU Munich, Munich, Germany
| | - Thomas Liebig
- Institute of Diagnostic and Interventional Neuroradiology, University Hospital, LMU Munich, Munich, Germany
| | - Kolja M Thierfelder
- Institute for Diagnostic and Interventional Radiology, University Medical Center Rostock, Rostock, Germany
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| |
Collapse
|
14
|
Abstract
Injuries of the ligaments and tendons of the ankle and foot are among the most common musculoskeletal injuries. A correct and precise description of the pathology and possible accompanying injuries is essential for treatment planning by trauma and orthopedic surgeons. While X‑ray is used to exclude fractures, ultrasound is a very useful tool to assess the ligaments and tendons. For the radiologist, magnetic resonance imaging (MRI) is invaluable regarding the correct assessment of (partial) ruptures, as well as for evaluating accompanying injuries. The aim of the present overview is to provide the most relevant facts for radiologists regarding injuries of ligaments and tendons of the ankle and foot. A description of expected MRI findings and possible pitfalls are presented. For each ligament complex or tendon, we review the anatomy, followed by relevant facts on biomechanics and typical findings in case of injury. The lateral and medial ligament complex, syndesmosis, spring ligament complex, and the Lisfranc ligament are shown in detail. The Achilles tendon and the peroneal tendons are also discussed.
Collapse
Affiliation(s)
- K M Thierfelder
- Institut für Diagnostische und Interventionelle Radiologie, Universitätsmedizin Rostock, Ernst-Heydemann-Str. 6, 18057, Rostock, Deutschland.
| | - I N Gemescu
- Department of Radiology and Medical Imaging, University Emergency Hospital Bukarest, Bukarest, Rumänien
| | - M-A Weber
- Institut für Diagnostische und Interventionelle Radiologie, Universitätsmedizin Rostock, Ernst-Heydemann-Str. 6, 18057, Rostock, Deutschland
| | - R Meier
- Klinik für Radiologie, Isarklinikum München, München, Deutschland
| |
Collapse
|
15
|
Beyer T, van Rijswijk CSP, Villagrán JM, Rehnitz C, Muto M, von Falck C, Gielen J, Thierfelder KM, Weber MA. Correction to: European multicentre study on technical success and long-term clinical outcome of radiofrequency ablation for the treatment of spinal osteoid osteomas and osteoblastomas. Neuroradiology 2019; 61:943. [DOI: 10.1007/s00234-019-02246-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|
16
|
Reidler P, Thierfelder KM, Rotkopf LT, Fabritius MP, Puhr-Westerheide D, Dorn F, Forkert ND, Kemmling A, Kunz WG. Attenuation Changes in ASPECTS Regions: A Surrogate for CT Perfusion–based Ischemic Core in Acute Ischemic Stroke. Radiology 2019; 291:451-458. [DOI: 10.1148/radiol.2019182041] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
17
|
Thierfelder KM, Gerhardt JS, Gemescu IN, Notohamiprodjo S, Rehnitz C, Weber MA. Imaging of hip and thigh muscle injury: a pictorial review. Insights Imaging 2019; 10:20. [PMID: 30771029 PMCID: PMC6377690 DOI: 10.1186/s13244-019-0702-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [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: 07/24/2018] [Accepted: 10/25/2018] [Indexed: 01/28/2023] Open
Abstract
Muscle injuries of the hip and thigh are a highly relevant issue in competitive sports imaging. The gold standard in diagnostic imaging of muscle injuries is magnetic resonance imaging (MRI). Radiologists need to be familiar with typical MRI findings in order to accurately detect and classify muscle injuries. Proper interpretation of the findings is crucial, especially in elite athletes. In soccer players, muscle injuries of the hip and thigh are the most common reason for missing a game.The present pictorial review deals with the diagnostic assessment, especially MRI, of muscle injuries of the hip and thigh. Typical MR findings in muscle injuries include edema, hematoma, and tendinous avulsion as well as partial or complete muscle tear. To estimate the time to return to play, a grading into three groups-muscle strain, partial tear, complete tear-has traditionally been used. Taking into account the most recent literature, there are other prognostic factors such as the longitudinal length of a tear, the tendon's intramuscular component, or persisting edema.
Collapse
Affiliation(s)
- Kolja M Thierfelder
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Ernst-Heydemann-Str. 6, 18057, Rostock, Germany.
| | - Judith S Gerhardt
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Ernst-Heydemann-Str. 6, 18057, Rostock, Germany
| | - Ioan N Gemescu
- Department of Radiology and Medical Imaging, University Emergency Hospital Bucharest, Bucharest, Romania
| | | | - Christoph Rehnitz
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Marc-André Weber
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Ernst-Heydemann-Str. 6, 18057, Rostock, Germany
| |
Collapse
|
18
|
Huber T, Rotkopf L, Wiestler B, Kunz WG, Bette S, Gempt J, Preibisch C, Ricke J, Zimmer C, Kirschke JS, Sommer WH, Thierfelder KM. Wavelet-based reconstruction of dynamic susceptibility MR-perfusion: a new method to visualize hypervascular brain tumors. Eur Radiol 2018; 29:2669-2676. [PMID: 30552476 DOI: 10.1007/s00330-018-5892-2] [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: 08/11/2018] [Revised: 10/16/2018] [Accepted: 11/14/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Parameter maps based on wavelet-transform post-processing of dynamic perfusion data offer an innovative way of visualizing blood vessels in a fully automated, user-independent way. The aims of this study were (i) a proof of concept regarding wavelet-based analysis of dynamic susceptibility contrast (DSC) MRI data and (ii) to demonstrate advantages of wavelet-based measures compared to standard cerebral blood volume (CBV) maps in patients with the initial diagnosis of glioblastoma (GBM). METHODS Consecutive 3-T DSC MRI datasets of 46 subjects with GBM (mean age 63.0 ± 13.1 years, 28 m) were retrospectively included in this feasibility study. Vessel-specific wavelet magnetic resonance perfusion (wavelet-MRP) maps were calculated using the wavelet transform (Paul wavelet, order 1) of each voxel time course. Five different aspects of image quality and tumor delineation were each qualitatively rated on a 5-point Likert scale. Quantitative analysis included image contrast and contrast-to-noise ratio. RESULTS Vessel-specific wavelet-MRP maps could be calculated within a mean time of 2:27 min. Wavelet-MRP achieved higher scores compared to CBV in all qualitative ratings: tumor depiction (4.02 vs. 2.33), contrast enhancement (3.93 vs. 2.23), central necrosis (3.86 vs. 2.40), morphologic correlation (3.87 vs. 2.24), and overall impression (4.00 vs. 2.41); all p < .001. Quantitative image analysis showed a better image contrast and higher contrast-to-noise ratios for wavelet-MRP compared to conventional perfusion maps (all p < .001). CONCLUSIONS wavelet-MRP is a fast and fully automated post-processing technique that yields reproducible perfusion maps with a clearer vascular depiction of GBM compared to standard CBV maps. KEY POINTS • Wavelet-MRP offers high-contrast perfusion maps with a clear delineation of focal perfusion alterations. • Both image contrast and visual image quality were beneficial for wavelet-MRP compared to standard perfusion maps like CBV. • Wavelet-MRP can be automatically calculated from existing dynamic susceptibility contrast (DSC) perfusion data.
Collapse
Affiliation(s)
- Thomas Huber
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
| | - Lukas Rotkopf
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Benedikt Wiestler
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Stefanie Bette
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Jens Gempt
- Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Christine Preibisch
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Claus Zimmer
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Jan S Kirschke
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Wieland H Sommer
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Kolja M Thierfelder
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,Institute of Diagnostic and Interventional Radiology, University Medicine Rostock, Schillingallee 35, 18057, Rostock, Germany
| |
Collapse
|
19
|
Kunz WG, Hunink MG, Dimitriadis K, Huber T, Dorn F, Meinel FG, Sabel BO, Othman AE, Reiser MF, Ertl-Wagner B, Sommer WH, Thierfelder KM. Cost-effectiveness of Endovascular Therapy for Acute Ischemic Stroke: A Systematic Review of the Impact of Patient Age. Radiology 2018; 288:518-526. [DOI: 10.1148/radiol.2018172886] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
20
|
Meinel FG, Schoepf UJ, Townsend JC, Flowers BA, Geyer LL, Ebersberger U, Krazinski AW, Kunz WG, Thierfelder KM, Baker DW, Khan AM, Fernandes VL, O'Brien TX. Diagnostic yield and accuracy of coronary CT angiography after abnormal nuclear myocardial perfusion imaging. Sci Rep 2018; 8:9228. [PMID: 29907855 PMCID: PMC6003932 DOI: 10.1038/s41598-018-27347-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [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: 05/01/2017] [Accepted: 05/09/2018] [Indexed: 11/18/2022] Open
Abstract
We aimed to determine the diagnostic yield and accuracy of coronary CT angiography (CCTA) in patients referred for invasive coronary angiography (ICA) based on clinical concern for coronary artery disease (CAD) and an abnormal nuclear stress myocardial perfusion imaging (MPI) study. We enrolled 100 patients (84 male, mean age 59.6 ± 8.9 years) with an abnormal MPI study and subsequent referral for ICA. Each patient underwent CCTA prior to ICA. We analyzed the prevalence of potentially obstructive CAD (≥50% stenosis) on CCTA and calculated the diagnostic accuracy of ≥50% stenosis on CCTA for the detection of clinically significant CAD on ICA (defined as any ≥70% stenosis or ≥50% left main stenosis). On CCTA, 54 patients had at least one ≥50% stenosis. With ICA, 45 patients demonstrated clinically significant CAD. A positive CCTA had 100% sensitivity and 84% specificity with a 100% negative predictive value and 83% positive predictive value for clinically significant CAD on a per patient basis in MPI positive symptomatic patients. In conclusion, almost half (48%) of patients with suspected CAD and an abnormal MPI study demonstrate no obstructive CAD on CCTA.
Collapse
Affiliation(s)
- Felix G Meinel
- Heart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.,Department of Diagnostic and Interventional Radiology, Rostock University Medical Center, Rostock, Germany
| | - U Joseph Schoepf
- Heart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA. .,Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
| | | | | | - Lucas L Geyer
- Heart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.,Center for Radiology and Neuroradiology, Klinikum Ingolstadt, Ingolstadt, Germany
| | - Ullrich Ebersberger
- Heart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA
| | | | - Wolfgang G Kunz
- Department of Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Kolja M Thierfelder
- Department of Diagnostic and Interventional Radiology, Rostock University Medical Center, Rostock, Germany
| | - Deborah W Baker
- Charles George Veterans Affairs Medical Center, Asheville, NC, USA
| | - Ashan M Khan
- Department of Radiology, Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC, USA
| | - Valerian L Fernandes
- Heart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.,Department of Medicine, Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC, USA
| | - Terrence X O'Brien
- Heart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.,Department of Medicine, Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC, USA
| |
Collapse
|
21
|
Kunz WG, Fabritius MP, Sommer WH, Höhne C, Scheffler P, Rotkopf LT, Fendler WP, Sabel BO, Meinel FG, Dorn F, Ertl-Wagner B, Reiser MF, Thierfelder KM. Effect of stroke thrombolysis predicted by distal vessel occlusion detection. Neurology 2018; 90:e1742-e1750. [PMID: 29678936 DOI: 10.1212/wnl.0000000000005519] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 02/26/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Among ischemic stroke patients with negative CT angiography (CTA), we aimed to determine the predictive value of enhanced distal vessel occlusion detection using CT perfusion postprocessing (waveletCTA) for the treatment effect of IV thrombolysis (IVT). METHODS Patients were selected from 1,851 consecutive patients who had undergone CT perfusion. Inclusion criteria were (1) significant cerebral blood flow (CBF) deficit, (2) no occlusion on CTA, and (3) infarction confirmed on follow-up. Favorable morphologic response was defined as smaller values of final infarction volume divided by initial CBF deficit volume (FIV/CBF). Favorable functional outcome was defined as modified Rankin Scale score of ≤2 after 90 days and decrease in NIH Stroke Scale score of ≥3 from admission to 24 hours (∆NIHSS). RESULTS Among patients with negative CTA (n = 107), 58 (54%) showed a distal occlusion on waveletCTA. There was no difference between patients receiving IVT (n = 57) vs supportive care (n = 50) regarding symptom onset, early ischemic changes, perfusion mismatch, or admission NIHSS score (all p > 0.05). In IVT-treated patients, the presence of an occlusion was an independent predictor of a favorable morphologic response (FIV/CBF: β -1.43; 95% confidence interval [CI] -1.96, -0.83; p = 0.001) and functional outcome (90-day modified Rankin Scale: odds ratio 7.68; 95% CI 4.33-11.51; p = 0.039; ∆NIHSS: odds ratio 5.76; 95% CI 3.98-8.27; p = 0.013), while it did not predict outcome in patients receiving supportive care (all p > 0.05). CONCLUSION In stroke patients with negative CTA, distal vessel occlusions as detected by waveletCTA are an independent predictor of a favorable response to IVT.
Collapse
Affiliation(s)
- Wolfgang G Kunz
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany.
| | - Matthias P Fabritius
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany
| | - Wieland H Sommer
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany
| | - Christopher Höhne
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany
| | - Pierre Scheffler
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany
| | - Lukas T Rotkopf
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany
| | - Wolfgang P Fendler
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany
| | - Bastian O Sabel
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany
| | - Felix G Meinel
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany
| | - Franziska Dorn
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany
| | - Birgit Ertl-Wagner
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany
| | - Maximilian F Reiser
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany
| | - Kolja M Thierfelder
- From the Departments of Radiology (W.G.K., M.P.F., W.H.S., L.T.R., B.O.S., F.G.M., B.E.-W., M.F.R., K.M.T.), Neurology (C.H., P.S.), Nuclear Medicine (W.P.F.), and Neuroradiology (F.D.), University Hospital, LMU Munich; and the Institute of Diagnostic and Interventional Radiology (F.G.M., K.M.T.), University Medical Center Rostock, Germany
| |
Collapse
|
22
|
Beller E, Meinel FG, Schoeppe F, Kunz WG, Thierfelder KM, Hausleiter J, Bamberg F, Schoepf UJ, Hoffmann VS. Predictive value of coronary computed tomography angiography in asymptomatic individuals with diabetes mellitus: Systematic review and meta-analysis. J Cardiovasc Comput Tomogr 2018; 12:320-328. [PMID: 29685675 DOI: 10.1016/j.jcct.2018.04.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [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: 01/06/2018] [Revised: 03/31/2018] [Accepted: 04/08/2018] [Indexed: 12/25/2022]
Abstract
BACKGROUND Coronary CT angiography (CTA) is generally not established as a screening tool for asymptomatic individuals. However, it is controversial whether this test may have a role for screening asymptomatic individuals with diabetes mellitus (DM) due to the high prevalence of asymptomatic coronary artery disease (CAD) in this subgroup. METHODS We searched PubMed and EMBASE through May 2017 for studies that reported on the association between findings at coronary CTA and future cardiac events in asymptomatic individuals with DM. Summary hazard ratios for the presence of obstructive CAD (≥50% stenosis), presence of non-obstructive plaque (<50% stenosis), segment involvement score, and segment stenosis score were derived using a random effects regression model. I2 was calculated to quantify between-study heterogeneity and causing factors were identified using meta-regression. RESULTS A total of 10 studies reporting on 5012 individuals with DM (median age: 62.3 years, median proportion of women: 40.5%) were included in the analysis. The presence of obstructive CAD on coronary CTA (vs. non-obstructive or no CAD) was associated with a significantly elevated risk for adverse events (summary HR: 4.07, 95% CI: 2.30 to 7.21). The estimated summary HR for non-obstructive plaque (vs. no CAD) was 2.17 (95% CI: 1.11 to 4.25). The pooled HRs per unit for segment stenosis score and segment involvement score were 1.44 (95% CI: 0.98 to 2.12), and 1.73 (95% CI: 1.07 to 2.80) respectively. On meta-regression analysis, we observed a trend towards a higher risk estimate in studies with a higher proportion of females (p = 0.1063). CONCLUSION The presence and extent of CAD on coronary CTA are strong, independent predictors of cardiovascular events in asymptomatic individuals with DM despite heterogeneity between studies in endpoints, study population and length of follow-up.
Collapse
Affiliation(s)
- Ebba Beller
- Department of Radiology, University Hospital, LMU Munich, Germany; Department of Diagnostic and Interventional Radiology, University Hospital, Rostock, Germany
| | - Felix G Meinel
- Department of Radiology, University Hospital, LMU Munich, Germany; Department of Diagnostic and Interventional Radiology, University Hospital, Rostock, Germany.
| | | | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Germany
| | - Kolja M Thierfelder
- Department of Radiology, University Hospital, LMU Munich, Germany; Department of Diagnostic and Interventional Radiology, University Hospital, Rostock, Germany
| | - Jörg Hausleiter
- Medizinische Klinik und Poliklinik I, Ludwig Maximilians University, Munich, Germany
| | - Fabian Bamberg
- Department of Radiology, University of Tübingen, Germany
| | - U Joseph Schoepf
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Verena S Hoffmann
- Institute of Biomedical Informatics, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany; Department of Infectious Diseases & Tropical Medicine, Ludwig-Maximilians University, Germany
| |
Collapse
|
23
|
Reidler P, Thierfelder KM, Fabritius MP, Sommer WH, Meinel FG, Dorn F, Wollenweber FA, Duering M, Kunz WG. Thalamic Diaschisis in Acute Ischemic Stroke. Stroke 2018. [DOI: 10.1161/strokeaha.118.020698] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Paul Reidler
- From the Department of Radiology (P.R., K.M.T., M.P.F., W.H.S., W.G.K.) and Department of Neuroradiology (F.D.), University Hospital, LMU Munich, Germany; Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Germany (K.M.T., F.G.M.); and Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany (F.A.W., M.D.)
| | - Kolja M. Thierfelder
- From the Department of Radiology (P.R., K.M.T., M.P.F., W.H.S., W.G.K.) and Department of Neuroradiology (F.D.), University Hospital, LMU Munich, Germany; Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Germany (K.M.T., F.G.M.); and Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany (F.A.W., M.D.)
| | - Matthias P. Fabritius
- From the Department of Radiology (P.R., K.M.T., M.P.F., W.H.S., W.G.K.) and Department of Neuroradiology (F.D.), University Hospital, LMU Munich, Germany; Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Germany (K.M.T., F.G.M.); and Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany (F.A.W., M.D.)
| | - Wieland H. Sommer
- From the Department of Radiology (P.R., K.M.T., M.P.F., W.H.S., W.G.K.) and Department of Neuroradiology (F.D.), University Hospital, LMU Munich, Germany; Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Germany (K.M.T., F.G.M.); and Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany (F.A.W., M.D.)
| | - Felix G. Meinel
- From the Department of Radiology (P.R., K.M.T., M.P.F., W.H.S., W.G.K.) and Department of Neuroradiology (F.D.), University Hospital, LMU Munich, Germany; Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Germany (K.M.T., F.G.M.); and Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany (F.A.W., M.D.)
| | - Franziska Dorn
- From the Department of Radiology (P.R., K.M.T., M.P.F., W.H.S., W.G.K.) and Department of Neuroradiology (F.D.), University Hospital, LMU Munich, Germany; Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Germany (K.M.T., F.G.M.); and Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany (F.A.W., M.D.)
| | - Frank A. Wollenweber
- From the Department of Radiology (P.R., K.M.T., M.P.F., W.H.S., W.G.K.) and Department of Neuroradiology (F.D.), University Hospital, LMU Munich, Germany; Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Germany (K.M.T., F.G.M.); and Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany (F.A.W., M.D.)
| | - Marco Duering
- From the Department of Radiology (P.R., K.M.T., M.P.F., W.H.S., W.G.K.) and Department of Neuroradiology (F.D.), University Hospital, LMU Munich, Germany; Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Germany (K.M.T., F.G.M.); and Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany (F.A.W., M.D.)
| | - Wolfgang G. Kunz
- From the Department of Radiology (P.R., K.M.T., M.P.F., W.H.S., W.G.K.) and Department of Neuroradiology (F.D.), University Hospital, LMU Munich, Germany; Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Germany (K.M.T., F.G.M.); and Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany (F.A.W., M.D.)
| |
Collapse
|
24
|
Afat S, Brockmann C, Nikoubashman O, Müller M, Thierfelder KM, Kunz WG, Haberland U, Brockmann MA, Nikolaou K, Wiesmann M, Othman AE. Diagnostic performance of different perfusion algorithms for the detection of angiographical spasm. J Neuroradiol 2018; 45:290-294. [PMID: 29412162 DOI: 10.1016/j.neurad.2017.12.020] [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: 09/14/2016] [Revised: 06/16/2017] [Accepted: 12/14/2017] [Indexed: 10/18/2022]
Abstract
PURPOSE To assess the diagnostic utility of different perfusion algorithms for the detection of angiographical terial spasm. METHOD During a 2-year period, 45 datasets from 29 patients (54.2±10,75y, 20F) with suspected cerebral vasospasm after aneurysmal subarachnoid hemorrhage were included. Volume Perfusion CT (VPCT), Non-enhanced CT (NCT) and angiography were performed within 6hours post-ictus. Perfusion maps were generated using a maximum slope (MS) and a deconvolution-based approach (DC). Two blinded neuroradiologists independently evaluated MS and DC maps regarding vasospasm-related perfusion impairment on a 3-point Likert-scale (0=no impairment, 1=impairment affecting <50%, 2=impairment affecting >50% of vascular territory). A third independent neuroradiologist assessed angiography for presence and severity of arterial narrowing on a 3-point Likert scale (0=no narrowing, 1=narrowing affecting <50%, 2=narrowing affecting>50% of artery diameter). MS and DC perfusion maps were evaluated regarding diagnostic accuracy for angiographical arterial spasm with angiography as reference standard. Correlation analysis of angiography findings with both MS and DC perfusion maps was additionally performed. Furthermor, the agreement between MS and DC and inter-reader agreement was assessed. RESULTS DC maps yielded significantly higher diagnostic accuracy than MS perfusion maps (DC:AUC=.870; MS:AUC=.805; P=0.007) with higher sensitivity for DC compared to MS (DC:sensitivity=.758; MS:sensitivity=.625). DC maps revealed stronger correlation with angiography than MS (DC: R=.788; MS: R=694;=<0.001). MS and DC showed substantial agreement (Kappa=.626). Regarding inter-reader analysis, (almost) perfect inter-reader agreement was observed for both MS and DC maps (Kappa≥981). CONCLUSION DC yields significantly higher diagnostic accuracy for the detection of angiographic arterial spasm and higher correlation with angiographic findings compared to MS.
Collapse
Affiliation(s)
- Saif Afat
- Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, 52074 Aachen, Germany
| | - Carolin Brockmann
- Department of Neuroradiology, University Hospital Mainz, 55131 Mainz, Germany
| | - Omid Nikoubashman
- Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, 52074 Aachen, Germany; Department of Diagnostic and Interventional Radiology, RWTH Aachen University, 52074 Aachen, Germany
| | - Marguerite Müller
- Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, 52074 Aachen, Germany
| | - Kolja M Thierfelder
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Wolfgang G Kunz
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, 81377 Munich, Germany
| | | | - Marc A Brockmann
- Department of Neuroradiology, University Hospital Mainz, 55131 Mainz, Germany
| | - Konstantin Nikolaou
- Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, 72076 Tübingen, Germany
| | - Martin Wiesmann
- Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, 52074 Aachen, Germany
| | - Ahmed E Othman
- Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, 52074 Aachen, Germany; Siemens Healthcare GmbH, 91052 Forchheim, Germany.
| |
Collapse
|
25
|
Afat S, Brockmann C, Nikoubashman O, Müller M, Thierfelder KM, Brockmann MA, Nikolaou K, Wiesmann M, Kim JH, Othman AE. Diagnostic Accuracy of Simulated Low-Dose Perfusion CT to Detect Cerebral Perfusion Impairment after Aneurysmal Subarachnoid Hemorrhage: A Retrospective Analysis. Radiology 2018; 287:643-650. [PMID: 29309735 DOI: 10.1148/radiol.2017162707] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Purpose To evaluate diagnostic accuracy of low-dose volume perfusion (VP) computed tomography (CT) compared with original VP CT regarding the detection of cerebral perfusion impairment after aneurysmal subarachnoid hemorrhage. Materials and Methods In this retrospective study, 85 patients (mean age, 59.6 years; 62 women) with aneurysmal subarachnoid hemorrhage and who were suspected of having cerebral vasospasm at unenhanced CT and VP CT (tube voltage, 80 kVp; tube current-time product, 180 mAs) were included, 37 of whom underwent digital subtraction angiography (DSA) within 6 hours. Low-dose VP CT data sets at tube current-time product of 72 mAs were retrospectively generated by validated realistic simulation. Perfusion maps were generated from both data sets and reviewed by two neuroradiologists for overall image quality, diagnostic confidence and presence and/or severity of perfusion impairment indicating vasospasm. An interventional neuroradiologist evaluated 16 vascular segments at DSA. Diagnostic accuracy of low-dose VP CT was calculated with original VP CT as reference standard. Agreement between findings of both data sets was assessed by using weighted Cohen κ and findings were correlated with DSA by using Spearman correlation. After quantitative volumetric analysis, lesion volumes were compared on both VP CT data sets. Results Low-dose VP CT yielded good ratings of image quality and diagnostic confidence and classified all patients correctly with high diagnostic accuracy (sensitivity, 99.0%; specificity, 99.5%) without significant differences regarding presence and/or severity of perfusion impairment between original and low-dose data sets (Z = -0.447; P = .655). Findings of both data sets correlated significantly with DSA (original, r = 0.671; low dose, r = 0.667). Lesion volume was comparable for both data sets (relative difference, 5.9% ± 5.1 [range, 0.2%-25.0%; median, 4.0%]) with strong correlation (r = 0.955). Conclusion The results suggest that radiation dose reduction to 40% of original dose levels (tube current-time product, 72 mAs) may be performed in VP CT imaging of patients with aneurysmal subarachnoid hemorrhage without compromising the diagnostic accuracy regarding detection of cerebral perfusion impairment indicating vasospasm. © RSNA, 2018 Online supplemental material is available for this article.
Collapse
Affiliation(s)
- Saif Afat
- From the Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, Aachen, Germany (S.A., O.N., M.M., M.W., A.E.O.); Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076 Tübingen, Germany (S.A., K.N., A.E.O.); Department of Neuroradiology, University Hospital Mainz, Mainz, Germany (M.A.B., C.B.); Institute for Clinical Radiology, Ludwig-Maximilian-University Hospital Munich, Munich, Germany (K.M.T.); Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, South Korea (J.H.K.); Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (J.H.K.); and Center for Medical-IT Convergence Technology Research, Advanced Institute of Convergence Technology, Suwon, South Korea (J.H.K.)
| | - Carolin Brockmann
- From the Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, Aachen, Germany (S.A., O.N., M.M., M.W., A.E.O.); Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076 Tübingen, Germany (S.A., K.N., A.E.O.); Department of Neuroradiology, University Hospital Mainz, Mainz, Germany (M.A.B., C.B.); Institute for Clinical Radiology, Ludwig-Maximilian-University Hospital Munich, Munich, Germany (K.M.T.); Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, South Korea (J.H.K.); Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (J.H.K.); and Center for Medical-IT Convergence Technology Research, Advanced Institute of Convergence Technology, Suwon, South Korea (J.H.K.)
| | - Omid Nikoubashman
- From the Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, Aachen, Germany (S.A., O.N., M.M., M.W., A.E.O.); Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076 Tübingen, Germany (S.A., K.N., A.E.O.); Department of Neuroradiology, University Hospital Mainz, Mainz, Germany (M.A.B., C.B.); Institute for Clinical Radiology, Ludwig-Maximilian-University Hospital Munich, Munich, Germany (K.M.T.); Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, South Korea (J.H.K.); Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (J.H.K.); and Center for Medical-IT Convergence Technology Research, Advanced Institute of Convergence Technology, Suwon, South Korea (J.H.K.)
| | - Marguerite Müller
- From the Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, Aachen, Germany (S.A., O.N., M.M., M.W., A.E.O.); Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076 Tübingen, Germany (S.A., K.N., A.E.O.); Department of Neuroradiology, University Hospital Mainz, Mainz, Germany (M.A.B., C.B.); Institute for Clinical Radiology, Ludwig-Maximilian-University Hospital Munich, Munich, Germany (K.M.T.); Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, South Korea (J.H.K.); Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (J.H.K.); and Center for Medical-IT Convergence Technology Research, Advanced Institute of Convergence Technology, Suwon, South Korea (J.H.K.)
| | - Kolja M Thierfelder
- From the Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, Aachen, Germany (S.A., O.N., M.M., M.W., A.E.O.); Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076 Tübingen, Germany (S.A., K.N., A.E.O.); Department of Neuroradiology, University Hospital Mainz, Mainz, Germany (M.A.B., C.B.); Institute for Clinical Radiology, Ludwig-Maximilian-University Hospital Munich, Munich, Germany (K.M.T.); Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, South Korea (J.H.K.); Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (J.H.K.); and Center for Medical-IT Convergence Technology Research, Advanced Institute of Convergence Technology, Suwon, South Korea (J.H.K.)
| | - Marc A Brockmann
- From the Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, Aachen, Germany (S.A., O.N., M.M., M.W., A.E.O.); Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076 Tübingen, Germany (S.A., K.N., A.E.O.); Department of Neuroradiology, University Hospital Mainz, Mainz, Germany (M.A.B., C.B.); Institute for Clinical Radiology, Ludwig-Maximilian-University Hospital Munich, Munich, Germany (K.M.T.); Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, South Korea (J.H.K.); Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (J.H.K.); and Center for Medical-IT Convergence Technology Research, Advanced Institute of Convergence Technology, Suwon, South Korea (J.H.K.)
| | - Konstantin Nikolaou
- From the Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, Aachen, Germany (S.A., O.N., M.M., M.W., A.E.O.); Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076 Tübingen, Germany (S.A., K.N., A.E.O.); Department of Neuroradiology, University Hospital Mainz, Mainz, Germany (M.A.B., C.B.); Institute for Clinical Radiology, Ludwig-Maximilian-University Hospital Munich, Munich, Germany (K.M.T.); Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, South Korea (J.H.K.); Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (J.H.K.); and Center for Medical-IT Convergence Technology Research, Advanced Institute of Convergence Technology, Suwon, South Korea (J.H.K.)
| | - Martin Wiesmann
- From the Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, Aachen, Germany (S.A., O.N., M.M., M.W., A.E.O.); Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076 Tübingen, Germany (S.A., K.N., A.E.O.); Department of Neuroradiology, University Hospital Mainz, Mainz, Germany (M.A.B., C.B.); Institute for Clinical Radiology, Ludwig-Maximilian-University Hospital Munich, Munich, Germany (K.M.T.); Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, South Korea (J.H.K.); Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (J.H.K.); and Center for Medical-IT Convergence Technology Research, Advanced Institute of Convergence Technology, Suwon, South Korea (J.H.K.)
| | - Jong Hyo Kim
- From the Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, Aachen, Germany (S.A., O.N., M.M., M.W., A.E.O.); Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076 Tübingen, Germany (S.A., K.N., A.E.O.); Department of Neuroradiology, University Hospital Mainz, Mainz, Germany (M.A.B., C.B.); Institute for Clinical Radiology, Ludwig-Maximilian-University Hospital Munich, Munich, Germany (K.M.T.); Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, South Korea (J.H.K.); Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (J.H.K.); and Center for Medical-IT Convergence Technology Research, Advanced Institute of Convergence Technology, Suwon, South Korea (J.H.K.)
| | - Ahmed E Othman
- From the Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, Aachen, Germany (S.A., O.N., M.M., M.W., A.E.O.); Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076 Tübingen, Germany (S.A., K.N., A.E.O.); Department of Neuroradiology, University Hospital Mainz, Mainz, Germany (M.A.B., C.B.); Institute for Clinical Radiology, Ludwig-Maximilian-University Hospital Munich, Munich, Germany (K.M.T.); Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, South Korea (J.H.K.); Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (J.H.K.); and Center for Medical-IT Convergence Technology Research, Advanced Institute of Convergence Technology, Suwon, South Korea (J.H.K.)
| |
Collapse
|
26
|
Kunz WG, Sommer WH, Höhne C, Fabritius MP, Schuler F, Dorn F, Othman AE, Meinel FG, von Baumgarten L, Reiser MF, Ertl-Wagner B, Thierfelder KM. Crossed cerebellar diaschisis in acute ischemic stroke: Impact on morphologic and functional outcome. J Cereb Blood Flow Metab 2017; 37:3615-3624. [PMID: 28084869 PMCID: PMC5669343 DOI: 10.1177/0271678x16686594] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [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] [Indexed: 11/17/2022]
Abstract
Crossed cerebellar diaschisis (CCD) is the phenomenon of hypoperfusion and hypometabolism of the contralateral cerebellar hemisphere caused by dysfunction of the related supratentorial region. Our aim was to analyze its influence on morphologic and functional outcome in acute ischemic stroke. Subjects with stroke caused by a large vessel occlusion of the anterior circulation were selected from an initial cohort of 1644 consecutive patients who underwent multiparametric CT including whole-brain CT perfusion. Two experienced readers evaluated the posterior fossa in terms of CCD absence (CCD-) or presence (CCD+). A total of 156 patients formed the study cohort with 102 patients (65.4%) categorized as CCD- and 54 (34.6%) as CCD+. In linear and logistic regression analyses, no significant association between CCD and final infarction volume (β = -0.440, p = 0.972), discharge mRS ≤ 2 (OR = 1.897, p = 0.320), or 90-day mRS ≤ 2 (OR = 0.531, p = 0.492) was detected. CCD+ patients had larger supratentorial cerebral blood flow deficits (median: 164 ml vs. 115 ml; p = 0.001) compared to CCD-patients. Regarding complications, CCD was associated with a higher rate of parenchymal hematomas (OR = 4.793, p = 0.035). In conclusion, CCD is frequently encountered in acute ischemic stroke caused by large vessel occlusion of the anterior circulation. CCD was associated with the occurrence of parenchymal hematoma in the ipsilateral cerebral infarction but did not prove to significantly influence patient outcome.
Collapse
Affiliation(s)
- Wolfgang G Kunz
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Wieland H Sommer
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Christopher Höhne
- 2 Department of Neurology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Matthias P Fabritius
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Felix Schuler
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Franziska Dorn
- 3 Department of Neuroradiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Ahmed E Othman
- 4 Department of Diagnostic and Interventional Radiology, Eberhard Karls University, Tuebingen, Germany
| | - Felix G Meinel
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Louisa von Baumgarten
- 2 Department of Neurology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Maximilian F Reiser
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Birgit Ertl-Wagner
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Kolja M Thierfelder
- 1 Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| |
Collapse
|
27
|
Fabritius MP, Thierfelder KM, Meinel FG, Othman AE, Dorn F, Sabel BO, Scheffler P, Ertl-Wagner B, Sommer WH, Kunz WG. Early Imaging Prediction of Malignant Cerebellar Edema Development in Acute Ischemic Stroke. Stroke 2017; 48:2597-2600. [DOI: 10.1161/strokeaha.117.018237] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Revised: 06/09/2017] [Accepted: 06/12/2017] [Indexed: 11/16/2022]
Affiliation(s)
- Matthias P. Fabritius
- From the Institute for Clinical Radiology (M.P.F., K.M.T., F.G.M., B.O.S., B.E.-W., W.H.S., W.G.K.), Department of Neuroradiology (F.D.), and Department of Neurology (P.S.), Ludwig-Maximilians-University Hospital Munich, Germany; and Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Germany (A.E.O.)
| | - Kolja M. Thierfelder
- From the Institute for Clinical Radiology (M.P.F., K.M.T., F.G.M., B.O.S., B.E.-W., W.H.S., W.G.K.), Department of Neuroradiology (F.D.), and Department of Neurology (P.S.), Ludwig-Maximilians-University Hospital Munich, Germany; and Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Germany (A.E.O.)
| | - Felix G. Meinel
- From the Institute for Clinical Radiology (M.P.F., K.M.T., F.G.M., B.O.S., B.E.-W., W.H.S., W.G.K.), Department of Neuroradiology (F.D.), and Department of Neurology (P.S.), Ludwig-Maximilians-University Hospital Munich, Germany; and Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Germany (A.E.O.)
| | - Ahmed E. Othman
- From the Institute for Clinical Radiology (M.P.F., K.M.T., F.G.M., B.O.S., B.E.-W., W.H.S., W.G.K.), Department of Neuroradiology (F.D.), and Department of Neurology (P.S.), Ludwig-Maximilians-University Hospital Munich, Germany; and Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Germany (A.E.O.)
| | - Franziska Dorn
- From the Institute for Clinical Radiology (M.P.F., K.M.T., F.G.M., B.O.S., B.E.-W., W.H.S., W.G.K.), Department of Neuroradiology (F.D.), and Department of Neurology (P.S.), Ludwig-Maximilians-University Hospital Munich, Germany; and Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Germany (A.E.O.)
| | - Bastian O. Sabel
- From the Institute for Clinical Radiology (M.P.F., K.M.T., F.G.M., B.O.S., B.E.-W., W.H.S., W.G.K.), Department of Neuroradiology (F.D.), and Department of Neurology (P.S.), Ludwig-Maximilians-University Hospital Munich, Germany; and Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Germany (A.E.O.)
| | - Pierre Scheffler
- From the Institute for Clinical Radiology (M.P.F., K.M.T., F.G.M., B.O.S., B.E.-W., W.H.S., W.G.K.), Department of Neuroradiology (F.D.), and Department of Neurology (P.S.), Ludwig-Maximilians-University Hospital Munich, Germany; and Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Germany (A.E.O.)
| | - Birgit Ertl-Wagner
- From the Institute for Clinical Radiology (M.P.F., K.M.T., F.G.M., B.O.S., B.E.-W., W.H.S., W.G.K.), Department of Neuroradiology (F.D.), and Department of Neurology (P.S.), Ludwig-Maximilians-University Hospital Munich, Germany; and Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Germany (A.E.O.)
| | - Wieland H. Sommer
- From the Institute for Clinical Radiology (M.P.F., K.M.T., F.G.M., B.O.S., B.E.-W., W.H.S., W.G.K.), Department of Neuroradiology (F.D.), and Department of Neurology (P.S.), Ludwig-Maximilians-University Hospital Munich, Germany; and Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Germany (A.E.O.)
| | - Wolfgang G. Kunz
- From the Institute for Clinical Radiology (M.P.F., K.M.T., F.G.M., B.O.S., B.E.-W., W.H.S., W.G.K.), Department of Neuroradiology (F.D.), and Department of Neurology (P.S.), Ludwig-Maximilians-University Hospital Munich, Germany; and Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Germany (A.E.O.)
| |
Collapse
|
28
|
Kunz WG, Thierfelder KM, Hunink MG. Letter by Kunz et al Regarding Article, "Systematic Review of the Cost and Cost-Effectiveness of Rapid Endovascular Therapy for Acute Ischemic Stroke". Stroke 2017; 48:e310. [PMID: 28818865 DOI: 10.1161/strokeaha.117.018907] [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: 11/16/2022]
Affiliation(s)
- Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Germany
| | | | - M G Hunink
- Departments of Radiology and Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| |
Collapse
|
29
|
Sabel BO, Plum JL, Kneidinger N, Leuschner G, Koletzko L, Raziorrouh B, Schinner R, Kunz WG, Schoeppe F, Thierfelder KM, Sommer WH, Meinel FG. Structured reporting of CT examinations in acute pulmonary embolism. J Cardiovasc Comput Tomogr 2017; 11:188-195. [DOI: 10.1016/j.jcct.2017.02.008] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 02/14/2017] [Accepted: 02/19/2017] [Indexed: 02/04/2023]
|
30
|
Fabritius MP, Kazmierczak PM, Thierfelder KM, Kunz WG. Reversal of CT Hypodensity in Chronic Ischemic Stroke : A Different Kind of Fogging. Clin Neuroradiol 2017; 27:383-384. [PMID: 28255606 DOI: 10.1007/s00062-017-0570-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Accepted: 02/16/2017] [Indexed: 10/20/2022]
Affiliation(s)
- Matthias P Fabritius
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, 81377, Munich, Germany.
| | - Philipp M Kazmierczak
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Kolja M Thierfelder
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Wolfgang G Kunz
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, 81377, Munich, Germany
| |
Collapse
|
31
|
Notohamiprodjo S, Stahl R, Braunagel M, Kazmierczak PM, Thierfelder KM, Treitl KM, Wirth S, Notohamiprodjo M. Diagnostic accuracy of contemporary multidetector computed tomography (MDCT) for the detection of lumbar disc herniation. Eur Radiol 2016; 27:3443-3451. [PMID: 27988890 DOI: 10.1007/s00330-016-4686-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [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: 07/25/2016] [Revised: 10/23/2016] [Accepted: 11/29/2016] [Indexed: 01/24/2023]
Abstract
OBJECTIVES To evaluate the diagnostic accuracy of multidetector CT (MDCT) for detection of lumbar disc herniation with MRI as standard of reference. METHODS Patients with low back pain underwent indicated MDCT (128-row MDCT, helical pitch), 60 patients with iterative reconstruction (IR) and 67 patients with filtered back projection (FBP). Lumbar spine MRI (1.5 T) was performed within 1 month. Signal-to-noise ratios (SNR) of cerebrospinal fluid (CSF), annulus fibrosus (AF) and the spinal cord (SC) were determined for all modalities. Two readers independently rated image quality (IQ), diagnostic confidence and accuracy in the diagnosis of lumbar disc herniation using MRI as standard of reference. Inter-reader correlation was assessed with weighted κ. RESULTS Sensitivity, specificity, precision and accuracy of MDCT for disc protrusion were 98.8%, 96.5%, 97.1%, 97.8% (disc level), 97.7%, 92.9%, 98.6%, 96.9% (patient level). SNR of IR was significantly higher than FBP. IQ was significantly better in IR owing to visually reduced noise and improved delineation of the discs. κ (>0.90) was excellent for both algorithms. CONCLUSION MDCT of the lumbar spine yields high diagnostic accuracy for detection of lumbar disc herniation. IR improves image quality so that the provided diagnostic accuracy is principally equivalent to MRI. KEY POINTS • MDCT is an accurate alternative to MRI in disc herniation diagnosis. • By IR enhanced image quality improves MDCT diagnostic confidence similar to MRI. • Advances in CT technology contribute to improved diagnostic performance in lumbar spine imaging.
Collapse
Affiliation(s)
- S Notohamiprodjo
- Institute for Clinical Radiology, University Hospital of Munich, LMU Munich, Nussbaumstr. 20, 80336, Munich, Germany.
| | - R Stahl
- Institute for Clinical Radiology, University Hospital of Munich, LMU Munich, Nussbaumstr. 20, 80336, Munich, Germany
| | - M Braunagel
- Institute for Clinical Radiology, University Hospital of Munich, LMU Munich, Nussbaumstr. 20, 80336, Munich, Germany
| | - P M Kazmierczak
- Institute for Clinical Radiology, University Hospital of Munich, LMU Munich, Nussbaumstr. 20, 80336, Munich, Germany
| | - K M Thierfelder
- Institute for Clinical Radiology, University Hospital of Munich, LMU Munich, Nussbaumstr. 20, 80336, Munich, Germany
| | - K M Treitl
- Institute for Clinical Radiology, University Hospital of Munich, LMU Munich, Nussbaumstr. 20, 80336, Munich, Germany
| | - S Wirth
- Institute for Clinical Radiology, University Hospital of Munich, LMU Munich, Nussbaumstr. 20, 80336, Munich, Germany
| | - M Notohamiprodjo
- Diagnostic and Interventional Radiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| |
Collapse
|
32
|
Meinel FG, Haack M, Weidenhagen R, Hellbach K, Rottenkolber M, Armbruster M, Jerkku T, Thierfelder KM, Plum JL, Koeppel TA, Rubin GD, Sommer WH. Effect of endoleaks on changes in aortoiliac volume after endovascular repair for abdominal aortic aneurysm. Clin Hemorheol Microcirc 2016; 64:135-147. [DOI: 10.3233/ch-162052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Felix G. Meinel
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Mareike Haack
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Rolf Weidenhagen
- Department of Vascular and Endovascular Surgery, Munich Municipal Hospital Group, Klinikum Neuperlach, Munich, Germany
| | - Katharina Hellbach
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Marietta Rottenkolber
- Institute for Medical Information Sciences, Biometry and Epidemiology, Munich, Germany
| | - Marco Armbruster
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Thomas Jerkku
- Department of Vascular Surgery, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Kolja M. Thierfelder
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Jessica L.V. Plum
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Thomas A. Koeppel
- Department of Vascular Surgery, Ludwig-Maximilians-University Hospital, Munich, Germany
| | | | - Wieland H. Sommer
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| |
Collapse
|
33
|
Kunz WG, Hunink MM, Sommer WH, Beyer SE, Meinel FG, Dorn F, Wirth S, Reiser MF, Ertl-Wagner B, Thierfelder KM. Cost-Effectiveness of Endovascular Stroke Therapy. Stroke 2016; 47:2797-2804. [PMID: 27758942 DOI: 10.1161/strokeaha.116.014147] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Accepted: 08/24/2016] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Endovascular therapy in addition to standard care (EVT+SC) has been demonstrated to be more effective than SC in acute ischemic large vessel occlusion stroke. Our aim was to determine the cost-effectiveness of EVT+SC depending on patients’ initial National Institutes of Health Stroke Scale (NIHSS) score, time from symptom onset, Alberta Stroke Program Early CT Score (ASPECTS), and occlusion location.
Methods—
A decision model based on Markov simulations estimated lifetime costs and quality-adjusted life years (QALYs) associated with both strategies applied in a US setting. Model input parameters were obtained from the literature, including recently pooled outcome data of 5 randomized controlled trials (ESCAPE [Endovascular Treatment for Small Core and Proximal Occlusion Ischemic Stroke], EXTEND-IA [Extending the Time for Thrombolysis in Emergency Neurological Deficits–Intra-Arterial], MR CLEAN [Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands], REVASCAT [Randomized Trial of Revascularization With Solitaire FR Device Versus Best Medical Therapy in the Treatment of Acute Stroke Due to Anterior Circulation Large Vessel Occlusion Presenting Within 8 Hours of Symptom Onset], and SWIFT PRIME [Solitaire With the Intention for Thrombectomy as Primary Endovascular Treatment]). Probabilistic sensitivity analysis was performed to estimate uncertainty of the model results. Net monetary benefits, incremental costs, incremental effectiveness, and incremental cost-effectiveness ratios were derived from the probabilistic sensitivity analysis. The willingness-to-pay was set to $50 000/QALY.
Results—
Overall, EVT+SC was cost-effective compared with SC (incremental cost: $4938, incremental effectiveness: 1.59 QALYs, and incremental cost-effectiveness ratio: $3110/QALY) in 100% of simulations. In all patient subgroups, EVT+SC led to gained QALYs (range: 0.47–2.12), and mean incremental cost-effectiveness ratios were considered cost-effective. However, subgroups with ASPECTS ≤5 or with M2 occlusions showed considerably higher incremental cost-effectiveness ratios ($14 273/QALY and $28 812/QALY, respectively) and only reached suboptimal acceptability in the probabilistic sensitivity analysis (75.5% and 59.4%, respectively). All other subgroups had acceptability rates of 90% to 100%.
Conclusions—
EVT+SC is cost-effective in most subgroups. In patients with ASPECTS ≤5 or with M2 occlusions, cost-effectiveness remains uncertain based on current data.
Collapse
Affiliation(s)
- Wolfgang G. Kunz
- From the Institute for Clinical Radiology (W.G.K., W.H.S., S.E.B., F.G.M., S.W., M.F.R., B.E.-W., K.M.T.) and Department of Neuroradiology (F.D.), LMU Munich, Munich, Germany; Departments of Radiology (M.G.M.H.) and Epidemiology (M.G.M.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Center for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA (M.G.M.H.)
| | - M.G. Myriam Hunink
- From the Institute for Clinical Radiology (W.G.K., W.H.S., S.E.B., F.G.M., S.W., M.F.R., B.E.-W., K.M.T.) and Department of Neuroradiology (F.D.), LMU Munich, Munich, Germany; Departments of Radiology (M.G.M.H.) and Epidemiology (M.G.M.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Center for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA (M.G.M.H.)
| | - Wieland H. Sommer
- From the Institute for Clinical Radiology (W.G.K., W.H.S., S.E.B., F.G.M., S.W., M.F.R., B.E.-W., K.M.T.) and Department of Neuroradiology (F.D.), LMU Munich, Munich, Germany; Departments of Radiology (M.G.M.H.) and Epidemiology (M.G.M.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Center for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA (M.G.M.H.)
| | - Sebastian E. Beyer
- From the Institute for Clinical Radiology (W.G.K., W.H.S., S.E.B., F.G.M., S.W., M.F.R., B.E.-W., K.M.T.) and Department of Neuroradiology (F.D.), LMU Munich, Munich, Germany; Departments of Radiology (M.G.M.H.) and Epidemiology (M.G.M.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Center for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA (M.G.M.H.)
| | - Felix G. Meinel
- From the Institute for Clinical Radiology (W.G.K., W.H.S., S.E.B., F.G.M., S.W., M.F.R., B.E.-W., K.M.T.) and Department of Neuroradiology (F.D.), LMU Munich, Munich, Germany; Departments of Radiology (M.G.M.H.) and Epidemiology (M.G.M.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Center for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA (M.G.M.H.)
| | - Franziska Dorn
- From the Institute for Clinical Radiology (W.G.K., W.H.S., S.E.B., F.G.M., S.W., M.F.R., B.E.-W., K.M.T.) and Department of Neuroradiology (F.D.), LMU Munich, Munich, Germany; Departments of Radiology (M.G.M.H.) and Epidemiology (M.G.M.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Center for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA (M.G.M.H.)
| | - Stefan Wirth
- From the Institute for Clinical Radiology (W.G.K., W.H.S., S.E.B., F.G.M., S.W., M.F.R., B.E.-W., K.M.T.) and Department of Neuroradiology (F.D.), LMU Munich, Munich, Germany; Departments of Radiology (M.G.M.H.) and Epidemiology (M.G.M.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Center for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA (M.G.M.H.)
| | - Maximilian F. Reiser
- From the Institute for Clinical Radiology (W.G.K., W.H.S., S.E.B., F.G.M., S.W., M.F.R., B.E.-W., K.M.T.) and Department of Neuroradiology (F.D.), LMU Munich, Munich, Germany; Departments of Radiology (M.G.M.H.) and Epidemiology (M.G.M.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Center for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA (M.G.M.H.)
| | - Birgit Ertl-Wagner
- From the Institute for Clinical Radiology (W.G.K., W.H.S., S.E.B., F.G.M., S.W., M.F.R., B.E.-W., K.M.T.) and Department of Neuroradiology (F.D.), LMU Munich, Munich, Germany; Departments of Radiology (M.G.M.H.) and Epidemiology (M.G.M.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Center for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA (M.G.M.H.)
| | - Kolja M. Thierfelder
- From the Institute for Clinical Radiology (W.G.K., W.H.S., S.E.B., F.G.M., S.W., M.F.R., B.E.-W., K.M.T.) and Department of Neuroradiology (F.D.), LMU Munich, Munich, Germany; Departments of Radiology (M.G.M.H.) and Epidemiology (M.G.M.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Center for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA (M.G.M.H.)
| |
Collapse
|
34
|
Havla L, Schneider MJ, Thierfelder KM, Beyer SE, Ertl-Wagner B, Reiser MF, Sommer WH, Dietrich O. Classification of arterial and venous cerebral vasculature based on wavelet postprocessing of CT perfusion data. Med Phys 2016; 43:702-9. [PMID: 26843234 DOI: 10.1118/1.4939224] [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: 11/07/2022] Open
Abstract
PURPOSE The purpose of this study was to propose and evaluate a new wavelet-based technique for classification of arterial and venous vessels using time-resolved cerebral CT perfusion data sets. METHODS Fourteen consecutive patients (mean age 73 yr, range 17-97) with suspected stroke but no pathology in follow-up MRI were included. A CT perfusion scan with 32 dynamic phases was performed during intravenous bolus contrast-agent application. After rigid-body motion correction, a Paul wavelet (order 1) was used to calculate voxelwise the wavelet power spectrum (WPS) of each attenuation-time course. The angiographic intensity A was defined as the maximum of the WPS, located at the coordinates T (time axis) and W (scale/width axis) within the WPS. Using these three parameters (A, T, W) separately as well as combined by (1) Fisher's linear discriminant analysis (FLDA), (2) logistic regression (LogR) analysis, or (3) support vector machine (SVM) analysis, their potential to classify 18 different arterial and venous vessel segments per subject was evaluated. RESULTS The best vessel classification was obtained using all three parameters A and T and W [area under the curve (AUC): 0.953 with FLDA and 0.957 with LogR or SVM]. In direct comparison, the wavelet-derived parameters provided performance at least equal to conventional attenuation-time-course parameters. The maximum AUC obtained from the proposed wavelet parameters was slightly (although not statistically significantly) higher than the maximum AUC (0.945) obtained from the conventional parameters. CONCLUSIONS A new method to classify arterial and venous cerebral vessels with high statistical accuracy was introduced based on the time-domain wavelet transform of dynamic CT perfusion data in combination with linear or nonlinear multidimensional classification techniques.
Collapse
Affiliation(s)
- Lukas Havla
- Josef Lissner Laboratory for Biomedical Imaging, Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, Munich 81377, Germany
| | - Moritz J Schneider
- Josef Lissner Laboratory for Biomedical Imaging, Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, Munich 81377, Germany
| | - Kolja M Thierfelder
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, Munich 81377, Germany
| | - Sebastian E Beyer
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, Munich 81377, Germany
| | - Birgit Ertl-Wagner
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, Munich 81377, Germany
| | - Maximilian F Reiser
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, Munich 81377, Germany
| | - Wieland H Sommer
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, Munich 81377, Germany
| | - Olaf Dietrich
- Josef Lissner Laboratory for Biomedical Imaging, Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Marchioninistr. 15, Munich 81377, Germany
| |
Collapse
|
35
|
Herlemann A, Wenter V, Kretschmer A, Thierfelder KM, Bartenstein P, Faber C, Gildehaus FJ, Stief CG, Gratzke C, Fendler WP. 68Ga-PSMA Positron Emission Tomography/Computed Tomography Provides Accurate Staging of Lymph Node Regions Prior to Lymph Node Dissection in Patients with Prostate Cancer. Eur Urol 2016; 70:553-557. [PMID: 26810345 DOI: 10.1016/j.eururo.2015.12.051] [Citation(s) in RCA: 211] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 12/29/2015] [Indexed: 10/22/2022]
|
36
|
Fendler WP, Schmidt DF, Wenter V, Thierfelder KM, Zach C, Stief C, Bartenstein P, Kirchner T, Gildehaus FJ, Gratzke C, Faber C. 68Ga-PSMA PET/CT Detects the Location and Extent of Primary Prostate Cancer. J Nucl Med 2016; 57:1720-1725. [PMID: 27261520 DOI: 10.2967/jnumed.116.172627] [Citation(s) in RCA: 153] [Impact Index Per Article: 19.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Accepted: 05/02/2016] [Indexed: 02/06/2023] Open
Abstract
We evaluated the accuracy of PET/CT with 68Ga-PSMA-HBED-CC-a 68Ga-conjugated ligand of human prostate-specific membrane antigen (PSMA)-to localize cancer in the prostate and surrounding tissue at initial diagnosis. METHODS Twenty-one patients with biopsy-proven prostate cancer underwent 68Ga-PSMA-HBED-CC (68Ga-PSMA) PET/CT at a median of 4 d (range, 0-47 d) before radical prostatectomy. Based on a 6-segment model, the Gleason score and proportion of tumor tissue within each segment (segmental tumor burden, or STB) as determined by histopathology (STBHP) were correlated with SUVmax and STB as determined by different SUV cutoffs for 68Ga-PSMA PET (STBPET1-6). Furthermore, the involvement of seminal vesicles and other extracapsular extension were assessed by histopathology and PET/CT. RESULTS Histopathology-positive segments (n = 100 of 126; 79%) demonstrated a significantly higher mean ± SD SUVmax (11.8 ± 7.6) than histopathology-negative segments (4.9 ± 2.9; P < 0.001). Receiver-operating-characteristic analysis revealed an optimal SUVmax cutoff of 6.5 for discrimination of histopathology-positive segments from histopathology-negative segments (area under the curve, 0.84; P < 0.001), which gave 67% sensitivity, 92% specificity, a 97% positive predictive value, a 42% negative predictive value, and 72% accuracy. STBPET3 as determined by (2 × blood SUV) + (2 × SD) correlated best with STBHP (Pearson ρ = 0.68; P < 0.001; mean difference ± SD, 19% ± 15%). PET/CT correctly detected invasion of seminal vesicles (n = 11 of 21 patients; 52%) with 86% accuracy and tumor spread through the capsule (n = 12; 57%) with 71% accuracy. CONCLUSION 68Ga-PSMA PET/CT accurately detected the location and extent of primary prostate cancer. Our preliminary findings warrant further investigation of 68Ga-PSMA PET/CT in conjunction with needle biopsy.
Collapse
Affiliation(s)
- Wolfgang P Fendler
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Dorothea F Schmidt
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Vera Wenter
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Kolja M Thierfelder
- Institute for Clinical Radiology, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Christian Zach
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Christian Stief
- Department of Urology, Ludwig-Maximilians-University of Munich, Munich, Germany.,Comprehensive Cancer Center, Ludwig-Maximilians-University of Munich, Munich, Germany; and
| | - Peter Bartenstein
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany.,Comprehensive Cancer Center, Ludwig-Maximilians-University of Munich, Munich, Germany; and
| | - Thomas Kirchner
- Institute of Pathology, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Franz J Gildehaus
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Christian Gratzke
- Department of Urology, Ludwig-Maximilians-University of Munich, Munich, Germany.,Comprehensive Cancer Center, Ludwig-Maximilians-University of Munich, Munich, Germany; and
| | - Claudius Faber
- Institute of Pathology, Ludwig-Maximilians-University of Munich, Munich, Germany
| |
Collapse
|
37
|
Sommer WH, Bollwein C, Thierfelder KM, Baumann A, Janssen H, Ertl-Wagner B, Reiser MF, Plate A, Straube A, von Baumgarten L. Crossed cerebellar diaschisis in patients with acute middle cerebral artery infarction: Occurrence and perfusion characteristics. J Cereb Blood Flow Metab 2016; 36:743-54. [PMID: 26661242 PMCID: PMC4821023 DOI: 10.1177/0271678x15617953] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [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: 05/17/2015] [Accepted: 10/12/2015] [Indexed: 01/22/2023]
Abstract
We aimed to investigate the overall prevalence and possible factors influencing the occurrence of crossed cerebellar diaschisis after acute middle cerebral artery infarction using whole-brain CT perfusion. A total of 156 patients with unilateral hypoperfusion of the middle cerebral artery territory formed the study cohort; 352 patients without hypoperfusion served as controls. We performed blinded reading of different perfusion maps for the presence of crossed cerebellar diaschisis and determined the relative supratentorial and cerebellar perfusion reduction. Moreover, imaging patterns (location and volume of hypoperfusion) and clinical factors (age, sex, time from symptom onset) resulting in crossed cerebellar diaschisis were analysed. Crossed cerebellar diaschisis was detected in 35.3% of the patients with middle cerebral artery infarction. Crossed cerebellar diaschisis was significantly associated with hypoperfusion involving the left hemisphere, the frontal lobe and the thalamus. The degree of the relative supratentorial perfusion reduction was significantly more pronounced in crossed cerebellar diaschisis-positive patients but did not correlate with the relative cerebellar perfusion reduction. Our data suggest that (i) crossed cerebellar diaschisis is a common feature after middle cerebral artery infarction which can robustly be detected using whole-brain CT perfusion, (ii) its occurrence is influenced by location and degree of the supratentorial perfusion reduction rather than infarct volume (iii) other clinical factors (age, sex and time from symptom onset) did not affect the occurrence of crossed cerebellar diaschisis.
Collapse
Affiliation(s)
- Wieland H Sommer
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Christine Bollwein
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Kolja M Thierfelder
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Alena Baumann
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Hendrik Janssen
- Department of Neuroradiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Birgit Ertl-Wagner
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Maximilian F Reiser
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Annika Plate
- Department of Neurology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Andreas Straube
- Department of Neurology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Louisa von Baumgarten
- Department of Neurology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| |
Collapse
|
38
|
Sabel BO, Buric K, Karara N, Thierfelder KM, Dinkel J, Sommer WH, Meinel FG. High-Pitch CT Pulmonary Angiography in Third Generation Dual-Source CT: Image Quality in an Unselected Patient Population. PLoS One 2016; 11:e0146949. [PMID: 26872262 PMCID: PMC4752234 DOI: 10.1371/journal.pone.0146949] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [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: 09/04/2015] [Accepted: 12/22/2015] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES To investigate the feasibility of high-pitch CT pulmonary angiography (CTPA) in 3rd generation dual-source CT (DSCT) in unselected patients. METHODS Forty-seven patients with suspected pulmonary embolism underwent high-pitch CTPA on a 3rd generation dual-source CT scanner. CT dose index (CTDIvol) and dose length product (DLP) were obtained. Objective image quality was analyzed by calculating signal-to-noise-ratio (SNR) and contrast-to-noise ratio (CNR). Subjective image quality on the central, lobar, segmental and subsegmental level was rated by two experienced radiologists. RESULTS Median CTDI was 8.1 mGy and median DLP was 274 mGy*cm. Median SNR was 32.9 in the central and 31.9 in the segmental pulmonary arteries. CNR was 29.2 in the central and 28.2 in the segmental pulmonary arteries. Median image quality was "excellent" in central and lobar arteries and "good" in subsegmental arteries according to both readers. Segmental arteries varied between "excellent" and "good". Image quality was non-diagnostic in one case (2%), beginning in the lobar arteries. Thirteen patients (28%) showed minor motion artifacts. CONCLUSIONS In third-generation dual-source CT, high-pitch CTPA is feasible for unselected patients. It yields excellent image quality with minimal motion artifacts. However, compared to standard-pitch cohorts, no distinct decrease in radiation dose was observed.
Collapse
Affiliation(s)
- Bastian O. Sabel
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Kristijan Buric
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Nora Karara
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Kolja M. Thierfelder
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Julien Dinkel
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Wieland H. Sommer
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Felix G. Meinel
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| |
Collapse
|
39
|
Thierfelder KM, Sommer WH, Ertl-Wagner B, Beyer SE, Meinel FG, Kunz WG, Buchholz G, Reiser MF, Janssen H. Prediction of Stent-Retriever Thrombectomy Outcomes by Dynamic Multidetector CT Angiography in Patients with Acute Carotid T or MCA Occlusions. AJNR Am J Neuroradiol 2016; 37:1296-302. [PMID: 26869467 DOI: 10.3174/ajnr.a4694] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Accepted: 12/07/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The selection of patients for endovascular therapy is an important issue in stroke imaging. The aim of this study was to determine the predictive value of 3 different dynamic CT angiography parameters, occlusion length, collateralization extent, and time delay to maximum enhancement, for latest generation of stent retriever thrombectomy recanalization outcomes in patients with acute ischemic stroke. MATERIALS AND METHODS In this study, subjects were selected from an initial cohort of 2059 consecutive patients who had undergone multiparametric CT, including whole-brain CT perfusion. We included all patients with a complete occlusion of the M1 segment of the MCA or the carotid T and subsequent intra-arterial stent retriever thrombectomy. Dynamic CT angiography was reconstructed from whole-brain CT perfusion raw datasets. Angiographic outcome was scored by using the modified TICI scale; and clinical outcome, by using the modified Rankin Scale. Logistic regression analyses were performed to determine independent predictors of a favorable angiographic (mTICI = 3) and clinical outcome (mRS ≤2). RESULTS Sixty-nine patients (mean age, 68 ± 14 years; 46% men) were included for statistical analysis. In the regression analysis, a short occlusion length was an independent predictor of favorable angiographic outcome (OR, 0.41; P < .05). Both collateralization grade (OR, 1.00; P > .05) and time delay to peak enhancement (OR, 0.90; P > .05) failed to predict a favorable angiographic outcome. None of the dynamic CT angiography predictors were significantly associated with clinical outcome on discharge (OR, 0.664-1.011; P = .330-.953) or at 90 days (OR, 0.779-1.016; P = .130-.845). CONCLUSIONS A short occlusion length as determined by dynamic CT angiography is an independent predictor of a favorable angiographic outcome of stent retriever thrombectomy in patients with ischemic stroke.
Collapse
Affiliation(s)
- K M Thierfelder
- From the Institute for Clinical Radiology (K.M.T., W.H.S., B.E.-W., S.E.B., F.G.M., W.G.K., M.F.R.)
| | - W H Sommer
- From the Institute for Clinical Radiology (K.M.T., W.H.S., B.E.-W., S.E.B., F.G.M., W.G.K., M.F.R.)
| | - B Ertl-Wagner
- From the Institute for Clinical Radiology (K.M.T., W.H.S., B.E.-W., S.E.B., F.G.M., W.G.K., M.F.R.)
| | - S E Beyer
- From the Institute for Clinical Radiology (K.M.T., W.H.S., B.E.-W., S.E.B., F.G.M., W.G.K., M.F.R.)
| | - F G Meinel
- From the Institute for Clinical Radiology (K.M.T., W.H.S., B.E.-W., S.E.B., F.G.M., W.G.K., M.F.R.)
| | - W G Kunz
- From the Institute for Clinical Radiology (K.M.T., W.H.S., B.E.-W., S.E.B., F.G.M., W.G.K., M.F.R.)
| | | | - M F Reiser
- From the Institute for Clinical Radiology (K.M.T., W.H.S., B.E.-W., S.E.B., F.G.M., W.G.K., M.F.R.)
| | - H Janssen
- Department of Neuroradiology (H.J.), Ludwig-Maximilian University Hospital, Munich, Germany
| |
Collapse
|
40
|
Spearman JV, Schoepf UJ, Rottenkolber M, Driesser I, Canstein C, Thierfelder KM, Krazinski AW, De Cecco CN, Meinel FG. Effect of Automated Attenuation-based Tube Voltage Selection on Radiation Dose at CT: An Observational Study on a Global Scale. Radiology 2015; 279:167-74. [PMID: 26473641 DOI: 10.1148/radiol.2015141507] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [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
PURPOSE To evaluate the effect of automated tube voltage selection (ATVS) on radiation dose at computed tomography (CT) worldwide encompassing all body regions and types of CT examinations. MATERIALS AND METHODS No patient information was accessed; therefore, institutional review board approval was not sought. Data from 86 centers across the world were analyzed. All CT interactions were automatically collected and transmitted to the CT vendor during two 6-week periods immediately before and 2 weeks after implementation of ATVS. A total of 164 323 unique CT studies were analyzed. Studies were categorized by body region and type of examination. Tube voltage and volume CT dose index (CTDIvol) were compared between examinations performed with ATVS and those performed before ATVS implementation. Descriptive statistical methods and multilevel linear regression models were used for analysis. RESULTS Across all types of CT examinations and body regions, CTDIvol was 14.7% lower in examinations performed with ATVS (n = 30 313) than in those performed before ATVS implementation (n = 79 275). Relative reductions in mean CTDIvol were most notable for temporal bone CT (-56.1%), peripheral runoff CT angiography (-48.6%), CT of the paranasal sinus (-39.6%), cerebral or carotid CT angiography (-36.4%), coronary CT angiography (-25.1%), and head CT (-23.9%). An increase in mean CTDIvol was observed for renal stone protocols (26.2%) and thoracic or lumbar spine examinations (6.6%). In the multilevel model with fixed effects ATVS and examination type, and the interaction of these variables and the random effect country, a significant influence on CTDIvol for all fixed efects was revealed (ATVS, P = .0031; examination type, P < .0001; interaction term, P < .0001). CONCLUSION ATVS significantly reduces radiation dose across most, but not all, body regions and types of CT examinations.
Collapse
Affiliation(s)
- James V Spearman
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - U Joseph Schoepf
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Marietta Rottenkolber
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Ivo Driesser
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Christian Canstein
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Kolja M Thierfelder
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Aleksander W Krazinski
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Carlo N De Cecco
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Felix G Meinel
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| |
Collapse
|
41
|
Meinel FG, Nance JW, Schoepf UJ, Hoffmann VS, Thierfelder KM, Costello P, Goldhaber SZ, Bamberg F. Predictive Value of Computed Tomography in Acute Pulmonary Embolism: Systematic Review and Meta-analysis. Am J Med 2015; 128:747-59.e2. [PMID: 25680885 DOI: 10.1016/j.amjmed.2015.01.023] [Citation(s) in RCA: 186] [Impact Index Per Article: 20.7] [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: 08/12/2014] [Revised: 01/15/2015] [Accepted: 01/16/2015] [Indexed: 12/12/2022]
Abstract
BACKGROUND Many computed tomography (CT) parameters have been proposed as potential predictors of outcome in acute pulmonary embolism. We sought to summarize available evidence on the predictive value of CT severity parameters for short-term clinical outcome in pulmonary embolism. METHODS We searched PubMed and EMBASE through February 2014 for studies that reported on the association between CT parameters of acute pulmonary embolism severity and short-term (≤6 months) clinical outcome. Risk estimates for quantitative parameters of right ventricular (RV) dysfunction (abnormally increased RV/left ventricular [LV] diameter ratio on transverse sections and 4-chamber views), qualitative parameters of RV dysfunction (abnormal septal morphology and contrast reflux), thrombus load, and central thrombus location were derived using random effect regression analysis. Meta-regression analysis was performed to quantify and explain study heterogeneity. RESULTS A total of 49 studies with 13,162 patients with acute pulmonary embolism (median age of 61 years, 55.1% were women) who underwent diagnostic CT imaging were included in the analysis. An abnormally increased RV/LV diameter ratio measured on transverse sections was associated with an approximately 2.5-fold risk for all-cause mortality (pooled odds ratio [OR], 2.5; 95% confidence interval [CI], 1.8-3.5) and adverse outcome (OR, 2.3; 95% CI, 1.6-3.4) and a 5-fold risk for pulmonary embolism-related mortality (OR, 5.0; 95% CI, 2.7-9.2). Thrombus load (OR, 1.6, 95% CI, 0.7-3.9; P = .2896) and central location (OR, 1.7; 95% CI, 0.7-4.2; P = .2609) were not predictive for all-cause mortality, although both were associated with adverse clinical outcome. CONCLUSIONS Across all end points, the RV/LV diameter ratio on transverse CT sections has the strongest predictive value and most robust evidence base for adverse clinical outcomes in patients with acute pulmonary embolism.
Collapse
Affiliation(s)
- Felix G Meinel
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston; Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - John W Nance
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Md
| | - U Joseph Schoepf
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston; Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston.
| | - Verena S Hoffmann
- Institute of Biomedical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-University, Munich, Germany
| | - Kolja M Thierfelder
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Philip Costello
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston
| | - Samuel Z Goldhaber
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass
| | - Fabian Bamberg
- Department of Radiology, University of Tübingen, Tübingen, Germany
| |
Collapse
|
42
|
Havla L, Schneider M, Thierfelder KM, Beyer SE, Ertl-Wagner B, Sommer WH, Dietrich O. Validation of a method to differentiate arterial and venous vessels in CT perfusion data using linear combinations of quantitative time-density curve characteristics. Eur Radiol 2015; 25:2937-44. [DOI: 10.1007/s00330-015-3709-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Revised: 02/19/2015] [Accepted: 03/05/2015] [Indexed: 11/24/2022]
|
43
|
Beyer SE, Thierfelder KM, von Baumgarten L, Rottenkolber M, Meinel FG, Janssen H, Ertl-Wagner B, Reiser MF, Sommer WH. Strategies of collateral blood flow assessment in ischemic stroke: prediction of the follow-up infarct volume in conventional and dynamic CTA. AJNR Am J Neuroradiol 2015; 36:488-94. [PMID: 25523589 DOI: 10.3174/ajnr.a4131] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Collateral blood flow is an important prognostic marker in the acute stroke situation but approaches for assessment vary widely. Our aim was to compare strategies of collateral blood flow assessment in dynamic and conventional CTA in their ability to predict the follow-up infarction volume. MATERIALS AND METHODS We retrospectively included all patients with an M1 occlusion from an existing cohort of 1912 consecutive patients who underwent initial multimodal stroke CT and follow-up MR imaging or nonenhanced CT. Collateralization was assessed in both conventional CT angiography and dynamic CT angiography by using 3 different collateral grading scores and segmentation of the volume of hypoattenuation. Arterial, arteriovenous, and venous phases were reconstructed for dynamic CT angiography, and all collateral scores and the volume of hypoattenuation were individually assessed for all phases. Different grading systems were compared by using the Bayesian information criterion calculated for multivariate regression analyses (Bayesian information criterion difference = 2-6, "positive"; Bayesian information criterion difference = 6-10, "strong"; Bayesian information criterion difference = >10, "very strong"). RESULTS One hundred thirty-six patients (mean age, 70.4 years; male sex, 41.2%) were included. In the multivariate analysis, models containing the volume of hypoattenuation showed a significantly better model fit than models containing any of the 3 collateral grading scores in conventional CT angiography (Bayesian information criterion difference = >10) and dynamic CT angiography (Bayesian information criterion difference = >10). All grading systems showed the best model fit in the arteriovenous phase. For the volume of hypoattenuation, model fit was significantly higher for models containing the volume of hypoattenuation as assessed in the arteriovenous phase of dynamic CT angiography compared with the venous phase (Bayesian information criterion difference = 6.2) and the arterial phase of dynamic CT angiography (Bayesian information criterion difference = >10) and in comparison with conventional CT angiography (Bayesian information criterion difference = >10). CONCLUSIONS The use of dynamic CT angiography within the arteriovenous phase by using quantification of the volume of hypoattenuation is the superior technique for assessment of collateralization among the tested approaches.
Collapse
Affiliation(s)
- S E Beyer
- From the Institute for Clinical Radiology (S.E.B., K.M.T., F.G.M., B.E.-W., M.F.R., W.H.S.)
| | - K M Thierfelder
- From the Institute for Clinical Radiology (S.E.B., K.M.T., F.G.M., B.E.-W., M.F.R., W.H.S.)
| | | | - M Rottenkolber
- Department of Medical Informatics, Biometry and Epidemiology (M.R.), Ludwig Maximilians University Munich, Munich, Germany
| | - F G Meinel
- From the Institute for Clinical Radiology (S.E.B., K.M.T., F.G.M., B.E.-W., M.F.R., W.H.S.)
| | - H Janssen
- Neuroradiology (H.J.), Ludwig Maximilians University Hospital Munich, Munich, Germany
| | - B Ertl-Wagner
- From the Institute for Clinical Radiology (S.E.B., K.M.T., F.G.M., B.E.-W., M.F.R., W.H.S.)
| | - M F Reiser
- From the Institute for Clinical Radiology (S.E.B., K.M.T., F.G.M., B.E.-W., M.F.R., W.H.S.)
| | - W H Sommer
- From the Institute for Clinical Radiology (S.E.B., K.M.T., F.G.M., B.E.-W., M.F.R., W.H.S.)
| |
Collapse
|
44
|
Braun FM, Johnson TRC, Sommer WH, Thierfelder KM, Meinel FG. Chest CT using spectral filtration: radiation dose, image quality, and spectrum of clinical utility. Eur Radiol 2014; 25:1598-606. [PMID: 25515204 DOI: 10.1007/s00330-014-3559-1] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2014] [Revised: 11/24/2014] [Accepted: 12/05/2014] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To determine the radiation dose, image quality, and clinical utility of non-enhanced chest CT with spectral filtration. METHODS We retrospectively analysed 25 non-contrast chest CT examinations acquired with spectral filtration (tin-filtered Sn100 kVp spectrum) compared to 25 examinations acquired without spectral filtration (120 kV). Radiation metrics were compared. Image noise was measured. Contrast-to-noise-ratio (CNR) and figure-of-merit (FOM) were calculated. Diagnostic confidence for the assessment of various thoracic pathologies was rated by two independent readers. RESULTS Effective chest diameters were comparable between groups (P = 0.613). In spectral filtration CT, median CTDIvol, DLP, and size-specific dose estimate (SSDE) were reduced (0.46 vs. 4.3 mGy, 16 vs. 141 mGy*cm, and 0.65 vs. 5.9 mGy, all P < 0.001). Spectral filtration CT had higher image noise (21.3 vs. 13.2 HU, P < 0.001) and lower CNR (47.2 vs. 75.3, P < 0.001), but was more dose-efficient (FOM 10,659 vs. 2,231/mSv, P < 0.001). Diagnostic confidence for parenchymal lung disease and osseous pathologies was lower with spectral filtration CT, but no significant difference was found for pleural pathologies, pulmonary nodules, or pneumonia. CONCLUSIONS Non-contrast chest CT using spectral filtration appears to be sufficient for the assessment of a considerable spectrum of thoracic pathologies, while providing superior dose efficiency, allowing for substantial radiation dose reduction. KEY POINTS • Spectral filtration enables non-contrast chest CT with very high dose efficiency. • This approach reduces CTDI vol , DLP, and SSDE (effective chest diameter 28 cm). • Lung nodules, pneumonia, and pleural pathologies can be assessed with uncompromised confidence.
Collapse
Affiliation(s)
- Franziska M Braun
- Institute for Clinical Radiology, University Hospital Munich, Marchioninistraße 15, 81377, Munich, Germany,
| | | | | | | | | |
Collapse
|
45
|
Thierfelder KM, Sommer WH, Dietrich O, Meinel FG, Theisen D, Paprottka PM, Strobl FF, Pfeuffer J, Reiser MF, Nikolaou K. Parallel-transmit-accelerated spatially-selective excitation mri for reduced-fov diffusion-weighted-imaging of the pancreas. Eur J Radiol 2014; 83:1709-14. [DOI: 10.1016/j.ejrad.2014.06.006] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2014] [Revised: 06/04/2014] [Accepted: 06/08/2014] [Indexed: 02/06/2023]
|
46
|
Thierfelder KM, Baumann AB, Sommer WH, Armbruster M, Opherk C, Janssen H, Reiser MF, Straube A, von Baumgarten L. Vertebral artery hypoplasia: frequency and effect on cerebellar blood flow characteristics. Stroke 2014; 45:1363-8. [PMID: 24699051 DOI: 10.1161/strokeaha.113.004188] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [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 AND PURPOSE Vertebral artery hypoplasia (VAH) is supposed to be a risk factor for posterior circulation ischemia (PCI), particularly in the territory of the posterior inferior cerebellar artery (PICA). The aim of our study was to determine whether VAH impedes perfusion in the dependent PICA territory even in the absence of manifest PCI. METHODS VA diameter was retrospectively measured in 934 consecutive patients who underwent whole-brain multimodal computed tomography because of suspected stroke. VAH was defined by a diameter of ≤2 mm and an asymmetry ratio of ≤1:1.7 of both VAs. We performed blinded computed tomography perfusion reading in patients with VAH without PCI (MRI-confirmed) and in control patients (ratio 1:2) with normal VAs. Four different perfusion maps were evaluated for a relative hypoperfusion in the PICA territory. RESULTS VAH was found in 146 of 934 patients (15.6%). It was more frequent on the right side (66.1%). Of 146 patients, 59 without PCI qualified for computed tomography perfusion analysis. Depending on the perfusion map, ≤42.4% (25/59) of patients with VAH, but only 7.6% (9/118) without VAH, showed an ipsilateral PICA hypoperfusion (P<0.001). Sensitivities in patients with VAH were as follows: time to drain 42.4% (25/59)>mean transit time 39.0% (23/59)>cerebral blood flow 25.4% (15/59). Cerebral blood volume was never affected. CONCLUSIONS VAH is a frequent vascular variant that can lead to a relative regional hypoperfusion in the PICA territory. Additional research should clarify the pathophysiological role of VAH in PCI.
Collapse
Affiliation(s)
- Kolja M Thierfelder
- From the Department of Clinical Radiology (K.M.T., A.B.B., W.H.S., M.A., M.F.R.), Department of Neurology (C.O., A.S., L.v.B.), Institute for Stroke and Dementia Research (C.O.), and Department of Neuroradiology (H.J.), Ludwig-Maximilians-University of Munich Hospitals, Munich, Germany
| | | | | | | | | | | | | | | | | |
Collapse
|
47
|
Thierfelder KM, Meimarakis G, Nikolaou K, Sommer WH, Schmitt P, Kazmierczak PM, Reiser MF, Theisen D. Non-contrast-enhanced MR angiography at 3 Tesla in patients with advanced peripheral arterial occlusive disease. PLoS One 2014; 9:e91078. [PMID: 24608937 PMCID: PMC3946661 DOI: 10.1371/journal.pone.0091078] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [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: 09/19/2013] [Accepted: 02/07/2014] [Indexed: 11/26/2022] Open
Abstract
Purpose The aim of this study was to assess the diagnostic performance of ECG-gated non-contrast-enhanced quiescent interval single-shot (QISS) magnetic resonance angiography at a magnetic field strength of 3 Tesla in patients with advanced peripheral arterial occlusive disease (PAOD). Method and Materials A total of 21 consecutive patients with advanced PAOD (Fontaine stage IIb and higher) referred for peripheral magnetic resonance angiography (MRA) were included. Imaging was performed on a 3 T whole body MR. Image quality and stenosis diameter were evaluated in comparison to contrast-enhanced continuous table and TWIST MRA (CE-MRA) as standard of reference. QISS images were acquired with a thickness of 1.5 mm each (high-resolution QISS, HR-QISS). Two blinded readers rated the image quality and the degree of stenosis for both HR-QISS and CE-MRA in 26 predefined arterial vessel segments on 5-point Likert scales. Results With CE-MRA as the reference standard, HR-QISS showed high sensitivity (94.1%), specificity (97.8%), positive (95.1%), and negative predictive value (97.2%) for the detection of significant (≥50%) stenosis. Interreader agreement for stenosis assessment of both HR-QISS and CE-MRA was excellent (κ-values of 0.951 and 0.962, respectively). As compared to CR-MRA, image quality of HR-QISS was significantly lower for the distal aorta, the femoral and iliac arteries (each with p<0.01), while no significant difference was found in the popliteal (p = 0.09) and lower leg arteries (p = 0.78). Conclusion Non-enhanced ECG-gated HR-QISS performs very well in subjects with severe PAOD and is a good alternative for patients with a high risk of nephrogenic systemic fibrosis.
Collapse
Affiliation(s)
- Kolja M. Thierfelder
- Department of Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
- * E-mail:
| | - Georgios Meimarakis
- Department of Vascular and Endovascular Surgery, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Konstantin Nikolaou
- Department of Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Wieland H. Sommer
- Department of Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | | | - Philipp M. Kazmierczak
- Department of Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Maximilian F. Reiser
- Department of Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Daniel Theisen
- Department of Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| |
Collapse
|
48
|
Strobl FF, Rominger A, Wolpers S, Rist C, Bamberg F, Thierfelder KM, Nikolaou K, Uebleis C, Hacker M, Reiser MF, Saam T. Impact of cardiovascular risk factors on vessel wall inflammation and calcified plaque burden differs across vascular beds: a PET-CT study. Int J Cardiovasc Imaging 2013; 29:1899-908. [PMID: 23979062 DOI: 10.1007/s10554-013-0277-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2013] [Accepted: 08/12/2013] [Indexed: 01/07/2023]
Abstract
To evaluate the effect of age, gender and cardiovascular risk factors on vessel wall inflammation and the calcified plaque burden in different vascular beds as assessed by PET/CT. 315 patients (mean age: 57.8 years, 123 male and 192 female) who underwent whole body 18F-FDG PET/CT examinations were included in the study. Blood pool-corrected standardised uptake value (TBR) and the calcified plaque score (CPS, grade 0-4) were determined in the thoracic and abdominal aorta, both common carotid and both iliac arteries. The following cardiovascular risk factors were documented: Age ≥65 years (n = 114), male gender (n = 123), diabetes (n = 15), hyperlipidemia (n = 62), hypertension (n = 76), body mass index (BMI) ≥ 30 (n = 38), current smoker (n = 32). Effects of risk factors on TBR and CPS in different arterial beds were assessed using multivariate regression analysis. In the thoracic aorta TBR was independently associated with age ≥65 years and male gender, CPS was independently associated with age ≥65 years, male gender, hypertension and diabetes. In the abdominal aorta, TBR was independently associated with age ≥65 years and male gender, CPS with age ≥65 years, diabetes and smoking. Independent associations in the carotid arteries were found for age ≥65 years, male gender and BMI ≥ 30 in TBR and for age ≥65 and diabetes in CPS. In the iliac arteries, TBR was independently associated with age ≥65 and CPS with age ≥65, male gender, hypertension, diabetes and smoking. Findings of this PET/CT study demonstrate that the impact of cardiovascular risk factors on vessel wall inflammation and calcified plaque burden differs across vascular territories. Overall, CPS was more closely associated with cardiovascular risk factors compared to TBR.
Collapse
Affiliation(s)
- Frederik F Strobl
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Pettenkoferstr. 8a, 80336, Munich, Germany
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
49
|
Meinel FG, Graef A, Thierfelder KM, Armbruster M, Schild C, Neurohr C, Reiser MF, Johnson TRC. Automated quantification of pulmonary perfused blood volume by dual-energy CTPA in chronic thromboembolic pulmonary hypertension. ROFO-FORTSCHR RONTG 2013; 186:151-6. [PMID: 23975878 DOI: 10.1055/s-0033-1350412] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
OBJECTIVES The aim of the study was to determine whether automated quantification of pulmonary perfused blood volume (PBV) in dual-energy computed tomography pulmonary angiography (DE-CTPA) can be used to assess the severity of chronic thromboembolic pulmonary hypertension (CTEPH). METHODS Automated quantification of PBV was performed in 25 consecutive CTEPH patients undergoing DE-CTPA. PBV values were correlated with cardiac index and pulmonary vascular resistance quantified by right heart catheterization and walking distance in the 6-minute walk test using Pearson's correlation coefficient and multivariate linear regression analysis to control for age and gender. RESULTS DE-CTPA derived PBV values inversely correlated with systolic (r = -0.64, p = 0.001) and mean (r = -0.57, p = 0.004) pulmonary arterial pressure. There was a trend for PBV values to inversely correlate with pulmonary vascular resistance (r = -0.20, p = 0.35). No significant correlation was found between PBV values and cardiac index or 6-minute walking distance. These correlations were confirmed to be independent of age and gender on multivariate linear regression analysis. CONCLUSION DE-CTPA can be used for an automated quantification of pulmonary PBV in chronic thromboembolic pulmonary hypertension. PBV values correlate inversely with systolic and mean pulmonary arterial pressure and can thus be used to estimate the severity of pulmonary hypertension in these patients. Citation Format: • Meinel FG, Graef A, Thierfelder KM et al. Automated Quantification of Pulmonary Perfused Blood Volume by Dual-Energy CTPA in Chronic Thromboembolic Pulmonary Hypertension. Fortschr Röntgenstr 2014; 186: 151 - 156.
Collapse
Affiliation(s)
- F G Meinel
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich
| | - A Graef
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich
| | - K M Thierfelder
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich
| | - M Armbruster
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich
| | - C Schild
- Department of Internal Medicine V, Ludwig-Maximilians-University Hospital Munich
| | - C Neurohr
- Department of Internal Medicine V, Ludwig-Maximilians-University Hospital Munich
| | - M F Reiser
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich
| | - T R C Johnson
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich
| |
Collapse
|
50
|
Thierfelder KM, Baumgarten LV, Klotz E, Baumann AB, Nikolaou K, Reiser MF, Sommer WH. Reabilität und Reproduzierbarkeit einer volumetrischen Auswertung von Perfusionsdefiziten in der CT-Ganzhirnperfusion bei Patienten mit akutem ischämischem Schlaganfall. ROFO-FORTSCHR RONTG 2013. [DOI: 10.1055/s-0033-1346449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|